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Empowering battery manufacturing | Exploring crane positioning solutions for battery coil handling

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1. Application challenges
In the wave of development in the battery industry, the production chain of positive and negative electrode materials for batteries is closely intertwined, including coating, rolling, dividing, die-cutting, winding, etc. Each process is closely connected, and the handling of coil materials has become a key link on the production line.
Faced with heavy coil materials weighing hundreds of kilograms or even over 600 kilograms, how to ensure the stability and accuracy of the handling system while balancing production efficiency and product quality has become a focus of industry attention. It is in response to this demand that the OHT overhead crane handling system for battery coil materials has emerged, which integrates cutting-edge technologies of automation and intelligence to promote the automation and intelligence upgrade of handling operations.

2. Application difficulties and goals
Faced with the application challenges of handling battery coils, battery coils are usually heavy. During the up and down handling process, real-time and continuous accurate positioning is required to avoid any scratches, collisions, or indentations, otherwise it will result in high scrap costs. The traditional manual handling method has problems such as high labor intensity, high operational risks, and low production efficiency.
Therefore, the upgrading and transformation of automation and intelligence are particularly important. With the help of rich fieldbus technology, we can achieve digitalization and intelligence of the production process, thereby improving efficiency and operational safety.

3. Solution
In the automation journey of battery coil handling, the Beijiafu linear positioning system PXV/PCV plays a key role. This positioning system supports multiple communication interfaces, including SSI, RS485, Profinet, EthernetIP, etc., and easily integrates into various fieldbus protocols. By combining with the DM position code provided by the official Beijiafu, we can achieve real-time continuous linear positioning of the coil, ensuring accurate handling process.

In practical applications, each OHT overhead crane is usually equipped with three reading heads (as shown in the above figure). These reading heads are arranged on the monorails on both sides and the transverse rail in the middle, and they work together to accurately position the monorail contact wheel and the cantilever device in the middle. This layout requires the single track contact wheels on both sides to remain synchronized while controlling their relative deviation to ensure a smooth and accurate handling process. In terms of electrical interfaces, we provide common options such as SSI or 485 protocol, making system integration simple and fast.
Through this innovative solution, we have not only improved handling efficiency, but also greatly reduced material loss caused by inaccurate positioning, providing strong support for the automation upgrade of the battery manufacturing industry.
5. Product advantages
● Accurate and efficient: Based on the decoding principle of industrial camera photography, PXV/PCV has accurate positioning, strong error correction ability, and fast response. Even if there is a small amount of dirt or damage in the code band, it can ensure the continuity of position feedback
● Convenient integration: Compact design, LED indicator lights for intuitive display of operating status, diverse electrical interfaces easily integrated into various fieldbus protocols, achieving seamless integration
● Flexible and versatile: The product is designed based on standard applications, with strong versatility and quick adaptation to different customer needs. It is easy to use, flexible, and easy to integrate

6. Product Features
Highlights
High precision: measurement error as low as 0.1mm/0.2mm, minimum resolution of 0.1mm
Based on QR code (DM code): It can simultaneously output information in the X-axis and Y-axis directions as well as speed values
Quick response: The data update cycle is as fast as 10ms and supports a maximum speed of 12.5 meters per second
● Large depth of field design: maximum ± 50mm depth of field, suitable for different installation distances

Green, low-carbon, and sustainable development to create a “lighthouse factory” in the motor industry

On October 15, 2024, Secretary General Jin Weiwei of the Small and Medium sized Motor Branch of the China Electrical Equipment Industry Association, together with Shanghai Electric System Energy saving Engineering Technology Research Center Co., Ltd., Vice General Manager Xu Bingjun of Shanghai Tianwei Certification Technology Co., Ltd., Dr. Cao Haidong, Deputy General Manager of the R&D Department of the Engineering Center, and relevant personnel from the Secretariat, visited the factory of Yinmengda Electric (China) Co., Ltd. for research and visit. They had in-depth exchanges with General Manager Deng Hong, R&D Department Manager Chang Chunwen, General Affairs Department Manager Li Zhenyu, Engineering Design Department Manager Sun Baoqi, and other related topics on industry development, innovative technology and research and development, green and low-carbon, carbon footprint certification, etc.

Inheriting more than 150 years of professional knowledge from Siemens, Yinmengda Electric is committed to improving global industrial energy efficiency, electrification scale, and digitalization level through innovation, providing customers with efficient and reliable transmission product combinations and solutions to achieve the goals of green, low-carbon, and sustainable development. In terms of development philosophy, Yinmengda adheres to the guidance of technology and innovation, utilizing the two key market trends of “low-carbon” and “digitalization” to promote high-quality and sustainable development of the industry. Deng Hong stated that the current intelligent green factory has a high level of automation, and in the past few years, the Yizheng factory has never stopped its digital and automation transformation.
Yinmengda continuously strives for global industrial energy transformation and sustainable development, and continues to launch efficient and reliable transmission products for the motor energy efficiency improvement plan. Explore innovative energy storage acceleration and launch IE5 first level energy-efficient asynchronous motors, significantly reducing energy consumption and carbon emissions. Yinmengda has developed customized product services for various industries, including high-temperature smoke exhaust motors for buildings and tunnels, cooling tower motors, and marine motors.
In terms of market expansion, Yinmengda has adopted a dual strategy. On the one hand, increasing investment and research and development efforts in the Chinese market, and on the other hand, actively expanding international markets, its products have been exported overseas, becoming a bridge for Chinese supply chain manufacturers to go global. Yinmengda’s products have been widely used in the global industrial field, winning high recognition from customers and helping them reduce energy consumption and carbon emissions, building a green future together. Looking ahead to the future, Yinmengda regards emission reduction and carbon reduction as a long-term strategy for enterprise development, and continues to contribute to the transformation of the global energy-saving industry.

After the exchange, under the leadership of General Manager Deng, we visited the production workshop. The digital and lean production of Yinmengda factory has reached the leading level in the industry, and the full process digital production of motors and flexible production lines have left a deep impression on everyone. Mr. Deng stated that the all-new Yinmengda company will continue to inherit Siemens’ century old motor technology, product quality, service, and delivery time, continuously increase research and development efforts, and further meet market demand.
Sales Manager:Jinny
Email: sales5@xrjdcs.com
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Working principle and application scenario analysis of ARTM Pn wireless temperature measurement acquisition device

This article provides a detailed analysis of the working principle, technical characteristics, and advantages of the ARTM Pn wireless temperature measurement acquisition device in practical applications. The ARTM Pn device achieves real-time temperature monitoring of electrical equipment through wireless temperature sensors, using a frequency of 470MHz for data transmission. It can be widely used for temperature management of 3-35kV high-voltage switchgear, 0.4kV low-voltage distribution cabinets, and outdoor electrical equipment. By simplifying wiring and improving flexibility, this device provides reliable assurance for the safe operation of power equipment.
Keywords: wireless temperature measurement, temperature monitoring, ARTM Pn, data transmission, high-voltage switchgear
The core function of the Ankerui ARTM Pn wireless temperature measurement acquisition device is to collect real-time temperature data from electrical equipment through wireless sensors, and transmit this data to the monitoring center or display terminal for monitoring. Its working principle mainly consists of the following steps:
(1) Temperature sensing and data acquisition:
ARTM Pn uses wireless temperature sensors (ATE series sensors) installed inside the electrical cabinet to measure the temperature of the equipment in real time. These sensors can be installed at the hot points of the switchgear, such as static contacts, busbars, cable joints, etc., and the high-precision probes of the temperature sensors ensure that the temperature of each key point is accurately recorded.
(2) Wireless data transmission:
The temperature sensor wirelessly transmits the collected data to the ARTM Pn acquisition device at a frequency of 470MHz. This design eliminates the dependence of traditional temperature measurement equipment on wiring, greatly simplifying the installation and maintenance of the equipment. For widely distributed electrical equipment, especially large-scale distribution systems, this wireless transmission method is particularly important.
(3) Data processing and display:
After receiving temperature data transmitted by sensors, the ARTM Pn device can display it locally in real-time through a LCD screen or network with other devices through an RS485 interface to send data to the monitoring system, completing remote data monitoring. This multi-level data display method improves the visualization level of the system, enabling managers to promptly detect temperature anomalies and take measures.
(4) Warning and Control:
When the system detects that the temperature exceeds the set warning value, ARTM Pn can automatically trigger an alarm signal and perform corresponding control through the built-in relay, such as cutting off the power or starting the cooling device, to prevent further damage to the equipment.
The ARTM Pn wireless temperature measurement and acquisition device is suitable for various industrial power environments, especially in situations where real-time monitoring of equipment temperature is required to ensure stable operation of power equipment. Here are several typical application scenarios:

(1) Temperature monitoring of high-voltage switchgear:
High voltage switchgear is an important component of power transmission systems. Long term operation of equipment can generate a large amount of heat, especially under heavy loads. Temperature rise may lead to equipment aging or even fire. In this case, the ARTM Pn wireless temperature measurement device can monitor the temperature of each node in the switchgear in real time and automatically issue warnings when the temperature exceeds the safe range, avoiding accidents. By flexibly installing wireless sensors in key areas such as static contacts and busbars, this device provides a low-cost and efficient temperature monitoring solution for power companies.

(2) Intelligent monitoring of low-voltage distribution cabinets:
In low-voltage distribution systems, the current load is high, and heat is easily generated at the connection terminals and cable joints. ARTM Pn sensors can be installed at these hotspots to prevent joint failures caused by overheating by real-time temperature measurement. In addition, the device can be wirelessly connected to a remote monitoring system to monitor the temperature of the entire distribution network, providing a guarantee for the safe operation of low-voltage systems.

(3) Monitoring of outdoor electrical equipment:
Electrical equipment in outdoor environments often faces more challenges, including harsh conditions such as extreme temperatures, humidity, and sandstorms. ARTM Pn’s outdoor temperature sensors (such as ATE100P/200P) have IP68 protection and can operate normally in harsh outdoor environments, with a temperature range of -50 ℃ to+150 ℃ and a battery life of over 5 years. This makes the system suitable for scenarios such as wind power plants and outdoor distribution networks, ensuring the normal operation of power equipment even in extreme environments.
(4) Temperature management of industrial production lines:
In some large industrial production lines, such as steel mills, chemical plants, etc., power equipment operating at high loads for a long time is prone to overheating. The ARTM Pn wireless temperature measurement device can be flexibly installed at various key nodes on the production line, and can provide timely warnings through real-time temperature monitoring to prevent equipment damage and shutdown accidents.
From the above practical application scenarios, it can be seen that the technical advantages of ARTM Pn wireless temperature measurement device lie in:
(1) Wireless design, strong flexibility:
Compared with traditional wired temperature measurement systems, wireless design eliminates the problems of complex wiring and inconvenient installation and maintenance. Whether it’s creating new projects or upgrading existing systems, ARTM Pn can provide great flexibility, reducing installation time and costs.
(2) Real time monitoring and remote management:
ARTM Pn can not only achieve local temperature monitoring, but also transmit data to the monitoring center through remote networks. Users can grasp the temperature status of power equipment in real time through the integrated system platform, thereby greatly improving the management efficiency of the power system.
(3) High reliability and adaptability:
The ARTM Pn sensor has the characteristics of high precision and sensitivity, and can maintain stable operation in harsh environments. Its wide operating temperature range and IP68 protection capability give it the advantage of long-term stable operation in various harsh environments.
The ARTM Pn wireless temperature measurement acquisition device provides a flexible and reliable solution for temperature monitoring in power systems through advanced wireless sensor technology and efficient data transmission mechanisms. Whether in high-voltage switchgear, low-voltage distribution systems, or outdoor electrical equipment and industrial production lines, ARTM Pn has demonstrated its excellent performance and wide application potential. With the development of intelligent power systems, this device will play an increasingly important role in future power equipment monitoring.

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Breakthrough in Key Technologies for High end Industrial Control Computing: Industrial Intelligent Computers Debut in Shenzhen

The industrial intelligent computer, which deeply integrates computer science and industrial automation technology, has recently made its debut in Shenzhen. This product integrates the calculation and control of industrial sites, greatly improving the performance of the calculation and control system.

Industrial intelligence machine series technology innovation originates from the Institute of Computing Technology, Chinese Academy of Sciences. “Industrial intelligence machine has achieved a breakthrough in key technologies in the field of high-end industrial control computing, laying a solid foundation for the development of intelligent manufacturing,” said Han Yinhe, a researcher at the Institute of Computing Technology of the Chinese Academy of Sciences.

The series of industrial intelligent machine products based on PC technology is a major achievement in promoting the transformation of scientific and technological achievements and upgrading traditional industries through the cooperation of “industry university research application investment”. It demonstrates the latest progress of Chinese enterprises in grasping the new trend of industrial automation development and promoting new quality production through technological innovation.

Industrial automation is the foundation and upstream of industry, and China has long been relatively weak in global competition in this field. To develop new industrialization, promote new quality productivity, and achieve independent and controllable industrial automation equipment is an inevitable path.

In recent years, the digital transformation of the manufacturing industry has deepened, and industrial sites have become increasingly complex. Previously, industrial control often involved relatively simple control algorithms and application software; Nowadays, industrial sites involve more process algorithms, AI algorithms, complex motion control algorithms for more axes, etc. Therefore, a more powerful computing terminal that can match the application is needed to complete them.

Compared with traditional industrial control systems, the new industrial intelligence machine integrates all functions of PLC (Programmable Logic Controller), industrial computer, motion controller, motion control card, industrial gateway, and edge server, pushing the traditional “customized hardware+closed software” mode towards a new mode of “unified hardware+intelligent software”. The biggest feature of this series of products is the integration of computing and control.

There are two major “souls” of artificial intelligence machines: one is the independently developed industrial operating system MetaOS; The second is the self-developed industrial programming platform MetaFacture. Li Xiaoning, Senior Product Director of Zhongke Era, said that the industrial intelligent machine product system can bring users three major values: first, simplifying the control system; Secondly, shorten the development cycle; The third is to improve the efficiency of remote operation and maintenance for users through deep integration of IoT technology.

At present, industrial intelligence machines and related technologies are being applied in industries such as semiconductors, lasers, 3C electronics, photovoltaics, wind power, petroleum, and steel, and industrialization is steadily advancing, becoming a strong support for promoting industrial intelligence.

MIL-SPEC COTS EMC Input Filter for DC-DC Converter

The switching action of DC-DC converters may cause adverse common mode and differential mode noise, creating unacceptable interference at many points in the spectrum. Front end (or power line) filters are designed to be used before DC-DC converters to mitigate electromagnetic interference (EMI). These customizable or readily available front-end filters can be designed to comply with electromagnetic compatibility (EMC) regulatory standards, such as FCC, ETSI, CISPR, MIL-SPEC, with suppliers’ switch mode power supplies (SMPS) or DC-DC converters.
These ready-made front-end filters are custom designed based on the electromagnetic characteristics of power conversion equipment. However, other electrical (such as voltage spikes, ripples), mechanical (such as vibration, shock), and environmental (such as high altitude) design limitations must also be considered to meet the needs of military equipment. This article discusses the design considerations for front-end filters and the testing requirements for DC power modules in military equipment.
What is a front-end filter?
The design of this input filter is crucial for meeting electromagnetic compatibility (EMC) standards and objectives. Front end or input filters are used for various purposes:
Suppress noise and spikes that may enter the first stage of the power supply,
Reduce the emission noise of the fundamental frequency (i.e. switching frequency) and its harmonics
The use of switch mode power supplies in electronic devices is becoming increasingly common, with rich spectral content that may be transmitted to other parts of the circuit through physical contact and interfere with nearby sensitive circuits. As the switching speed increases, noise becomes an increasingly significant issue, especially when fast switching transistors cause interruption of current flow (resulting in voltage spikes and high-frequency noise). These current interruptions can be found at the input of the buck converter, the output of the boost converter, as well as the input and output of the flyback and buck boost converters.
Noise sources of various voltage regulators
The input terminal of the DC/DC buck converter has fast switching devices that quickly turn on and off, resulting in sharp rising and falling edges (high di/dt) of intermittent current on the capacitor. This will result in the fundamental frequency and several harmonics (usually low order harmonics) not meeting the standard. A boost converter operating in continuous conduction mode (CCM) will experience EMI at its output due to the need for a fast reverse recovery diode. Although this greatly reduces power loss, the current change (di/dt) is more aggressive, increasing EMI. In discontinuous conduction mode (DCM), the main current ripple is larger. Ripple will create a changing signal, which will be conducted to other parts of the system through a common contact conductor.
EMI: Emission of radiation and conduction
Typically, conducted emissions are associated with frequencies below 30MHz, while radiated emissions typically fall within the frequency range above 30MHz (typically 50 to 300MHz). However, there is still overlap between the emission of conduction and radiation. In switch mode power supplies, voltage spikes (high dV/dt) are usually the source of radiated noise. As mentioned earlier, conducted EMI typically originates from intermittent currents (high di/dt) and can be decomposed into common mode (CM) and differential mode (DM) noise.
Differential and common mode noise
The DM current is usually dominated by di/dt and will flow between the power line and the circuit; DM noise dominates lower frequencies. It is usually difficult to change the behavior of di/dt without fundamentally altering the circuit. By using passive low-pass EMI filters (such as R-C dampers, L-C, Pi sections, T sections, etc.) to suppress oscillations caused by intermittent currents, di/dt can be reduced.
The CM current is usually a function of dV/dt and will flow between each power line and ground. When CM current is coupled into a long conductor or cable, the cable can act as an antenna, making CM noise more prominent at high frequencies. Based on the length of the cable, the distance between the conductors, and the reference ground plane, the loop area of an unexpected circuit may be very large. Effective layout design can greatly suppress CM, such as moving conductors closer to the reference ground plane, carefully deploying safety capacitors, shielding connected cable bundles, or placing CM inductor coils in the CM current path. The CM inductor coil also provides a high impedance series path, allowing the CM current to form an EMI ground shunt path through the Y capacitor and flow out of the converter.
Both DM and CM will contribute to EMI, and it is often necessary to quantify the noise components of DM and CM before designing EMI filters to comply with industry EMC standards. Input EMI is typically quantified using a Line Impedance Stabilization Network (LISN) at the input of the Device Under Test (DUT) and a spectrum analyzer.
Design considerations for front-end filters
Usually, passive EMI filtering is the most common method for noise suppression; However, this may prove difficult when the filter terminates with different load impedances and different noise sources of the SMPS. These filters are typically various arrangements of resistors, capacitors, and inductors. The fundamental components and the first few harmonics have the largest magnitude and will make the greatest contribution to the overall noise, while the amplitude of higher-order harmonics gradually decreases as the frequency increases. The ability of filters to suppress these noise components also increases with increasing frequency, therefore, reducing noise at the fundamental frequency and low order harmonics is a prominent design challenge.
Usually, large passive filters can alleviate low-frequency emissions; However, due to its parasitic properties such as the equivalent series resistance and inductance of capacitors, as well as the parallel capacitance of inductors, high-frequency emission may require additional design considerations. Other EMI filtering techniques typically involve active components: one technique is to use spread spectrum or jitter to modulate the switching frequency of the power supply, in order to reduce the peaks of fundamental and low order harmonics found in the frequency domain. Ultimately, the technology adopted depends on the unique noise characteristics of the SMPS, as well as design costs, size, and regulatory limitations.
In addition to complying with EMC regulatory standards, EMI filters can also include the ability to suppress high current transients reflected from the load to the input power supply of the SMPS. The predicted transient characteristics of each SMPS will vary, so custom design is usually required to fully suppress spikes. This is undoubtedly an additional design consideration for MIL-SPEC power electronic devices. Military equipment will have a range of electrical, mechanical, and environmental design considerations that will require manufacturers to carefully design power electronic devices from the basics – they must meet material selection and electrical, mechanical, and harsh environmental performance requirements.
Common military standards for power supply
MIL-STD-461 sets conduction and radiation emission limits for electrical equipment to guide proper measurement of EMI. If the SMPS exceeds these limits – which it often does – it will require an EMI filter to ‘bring it back to specification’. However, choosing any ready-made EMI filter does not necessarily result in the power supply suddenly meeting the standard requirements; The device may be so noisy that attaching any EMI filter to the input will still cause the component to fail. The various requirements and descriptions of MIL-STD-461 can be found in Table 1. Electronic devices that comply with MIL-STD-461 typically list detailed information that meets specific CE, CS, and RE requirements.

EMI is not the only consideration for the correctness, reliability, and safety of electronic devices. The power supply must also be able to operate under various voltage conditions, including reverse polarity, voltage spikes, and voltage surges. The MIL-STD-1275E standard provides the testing conditions to be applied to the input of a 28V electrical power system, as well as the expected performance parameters of the equipment. These systems are expected to be used for military ground vehicles, civilian off-road vehicles, as well as military and civilian heavy equipment.
Other military standards, such as MIL-STD 704F for aircraft electrical characteristics and DO-160G for onboard equipment, will specify environmental conditions and testing procedures to fully simulate various voltage conditions. The MIL-STD-810 standard includes testing conditions and requirements for equipment that will undergo mechanical shock, vibration, and high altitude. This may also be a necessary consideration to ensure long lifespan and reliability of the supply in harsh environments. The power sources operating in military vehicles and aerial systems may need to meet various aspects of MIL-STD-1275E/MIL-STD 704F, MIL-STD-461, and MIL-STD-810 to be considered suitable for use. P-Duke offers a range of MCF military grade front-end filters that can be matched with selected DC/DC converters to meet all of these specification requirements.
P-DUKE MCF series
The MCF series provides EMI filtering and transient protection to meet the conducted emission, conducted sensing, and radiated emission requirements of MIL-STD-461G standard, surge/spike requirements of numerous military standards, and height/shock/vibration requirements of MIL-STD-810 (Table 2).

This series has active input overvoltage protection function, which can limit the maximum duration of 50ms overvoltage to below 40V, absorb peak voltage of+/-250V, and is equipped with internal protection circuit (Figure 1).
As shown in Figure 2, this series includes other active protection functions, such as remote on/off control, overload protection, output short circuit protection, reverse polarity protection, startup current limitation, etc.

In Figure 3, it can be seen that the EMI performance has been significantly improved. The EMI performance of a 200W HAE200 DC/DC converter was tested before and after applying the MCF filter. This greatly reduces the cost and design workload of customizing EMI filters and peripheral circuits. The MCF front-end filter has a rated power of up to 250W and can be used in a wide range of military equipment.

MCF filters can be simplified and integrated into military systems
EMI filters cannot be simply selected arbitrarily to ensure that the power supply meets standards. The process of designing these filters can be very complex and have high Non Repetitive Engineering Costs (NRE). This is particularly true in military equipment, where onboard subsystems in military vehicles and aircraft are powered by 24V batteries or 28V generators, which have strict requirements for multiple aspects, and COTS equipment and customized solutions may not be feasible. P-DUKE provides DC-DC converters ranging from 15W to 250W, paired with relevant MCF front-end filters, to meet military requirements for EMC and surge suppression.

Classification and application sharing of industrial grade touch displays

Industrial grade touch display is an industrial display with touch function, and common touch methods include capacitive touch and resistive touch. It is a device used in industry and has significant differences from ordinary displays.

Industrial grade touch displays consist of three parts: LCD touch screen, functional motherboard, and housing. The structural material is generally made of aluminum alloy, which has good performance in heat dissipation, electromagnetic interference resistance, high and low temperature resistance, dust and water resistance, and earthquake resistance. Industrial grade touch displays have high environmental requirements. Industrial displays not only need to adapt to various industrial environments, but also maintain stable operation around the clock, which ordinary commercial displays cannot achieve.

Although the use of industrial grade touch displays is becoming increasingly widespread and can be seen in many daily life scenarios and industrial sites, many customers are still not very familiar with industrial grade touch displays. Below, the editor will provide a detailed introduction to the classification of industrial grade touch displays and their application knowledge.

1. Embedded industrial grade touch display: Embedded industrial grade touch display, as the name suggests, is a display embedded in the customer’s product equipment. The customer’s product or equipment must have a large or medium-sized control cabinet, with all components embedded in the client device except for the display panel, fixed with hooks on the back. The large control cabinet should be installed with holes according to the opening size in the embedded installation diagram of the industrial grade touch display manufacturer.

2. Wall mounted industrial grade touch display: The wall mounted industrial grade touch display can be hung, not only on the wall, but also installed on customer equipment. The angle of the industrial display can be adjusted according to customer requirements. Using appropriate mounting arms, industrial grade touch displays can be installed in any position for users to view, generally used for small, medium, and large devices.

3. Rack mounted industrial touch display: Generally speaking, rack mounted industrial touch displays are installed on cabinets, such as 21 inch cabinets, so their width is the standard 21 inches, the mounting holes are standard, and the dimensions are basically fixed. Rack mounted industrial grade touch displays are generally used in large cabinets, such as telecommunications, power supplies, and large servers.

4. Open industrial touch display: Industrial touch displays do not have a frame, only an internal display panel. Customers mainly use them on small-sized devices, and the installation space for industrial displays is generally not large, such as ATM machines, commercial POS machines, etc. They are usually installed in customer devices.

5. Embedded industrial grade touch display: Simply put, an embedded industrial grade touch display is an industrial display installed in the customer’s cabinet and equipment in reverse, inside the client device. Unlike open industrial grade touch displays, it is installed from the inside of the device, with its edges coinciding with the edges of the customer’s device casing. Embedded industrial grade touch displays are commonly used in large and medium-sized equipment such as the power, machinery, and medical industries.

The speed and accuracy of ultrasound diagnostic systems are fully revealed

Imagine a scenario where doctors can clearly observe the slightest lesions in a patient’s body without the need for skin incision or exposure to radioactive radiation, which is the reality achieved by digital color ultrasound diagnostic technology. With the continuous breakthroughs in computer technology, digital signal processing technology, and artificial intelligence algorithms, color ultrasound diagnostic equipment has evolved from a simple image capture tool to an intelligent medical platform that integrates artificial intelligence, big data analysis, and cloud computing.
In this context, the global healthcare industry is undergoing a profound transformation driven by digital technology. Ultrasound diagnosis, as one of the key technologies, is constantly expanding its application scope in clinical diagnosis, disease monitoring, and patient management, providing strong technical support for improving the quality and efficiency of medical services.
Insight into Details: The Art of Precise Diagnosis Equipped with ATX Ultrasonic Endoscope
In Suzhou Industrial Park, a technology enterprise specializing in high-end digital color ultrasound diagnostic equipment has been awarded the title of National Intellectual Property Demonstration Enterprise and listed on the Forbes Potential Enterprise List for its outstanding contributions in this field. With the increasing demand for medical service quality from patients and the continuous development of medical technology towards precision and personalization, the company urgently needs an ultrasound diagnostic equipment that can meet these needs.

After careful market research and product evaluation, the company has decided to adopt the ATX product under Deshengda as the core of its high-end ultrasound diagnostic equipment. This decision is based on a comprehensive analysis of product advantages and precise insight into market demand: ATX products meet the strict requirements of enterprises for high-end medical equipment with their scalability, flexibility, system stability, and security, as well as their excellent image resolution and powerful data post-processing capabilities.

In clinical applications, the ultrasound endoscope equipped with ATX launched by the company has been successfully applied in multiple fields such as gynecology, obstetrics, abdomen, and blood vessels. Taking gallbladder diagnosis as an example, before using ATX products, doctors may face difficulties in identifying small lesions such as polyps, and traditional two-dimensional ultrasound sections may have diagnostic blind spots that may be missed. After using ATX products, doctors can conduct detailed mobile inspections of the interior of the gallbladder, presenting a panoramic view of the gallbladder’s inner wall in three dimensions. The application of this technology significantly improves the ability to identify small lesions such as polyps, effectively avoiding diagnostic blind spots that may be missed by traditional two-dimensional ultrasound sections. Through innovative platforms, the system can obtain ultrasound data volumes higher than conventional ultrasound platforms, providing more accurate data support during the diagnostic process.
Core Power: High Efficiency Performance of ATX
The market success of ATX products is largely attributed to their carefully designed hardware configuration and outstanding performance. This product uses Intel 12th to 14th generation Core processors ™ I9/i7/i5/i3 and Pentium ®/ celeron ® The processor ensures powerful computing power. Supports 4-channel DDR5 5600/4800MHz UDIMM memory, expandable up to 128GB, providing ample memory resources for processing complex medical imaging data. The diversity of video interfaces, including VGA, HDMI, and DP, enables ATX products to be flexibly compatible with various display devices. In addition, one M.2 E-Key 2230 slot is used for Wi Fi and Bluetooth functionality, and two M.2 M-Key 2242/2280 slots are used for storage expansion, further enhancing the product’s versatility and flexibility.

In terms of scalability, the ATX product is equipped with 2 PCIe 5.0 x16 slots, 2 PCIe 4.0 x4 slots, and 1 PCIe 3.0 x4 slot. This design not only ensures current high-performance requirements but also provides space for future technological upgrades. Support Intel vPro ® Technology and management functions make IT management more efficient and secure. The integrated TPM 2.0 and watchdog security features also provide a solid guarantee for the security of medical data.
The advantages of ATX products are not only reflected in their hardware specifications, but also in their significant improvement in medical imaging quality. The ultrasound endoscope equipped with ATX products achieves deep mining and optimized processing of ultrasound data through the use of composite ultrasound imaging technology and RF high-speed processing platform. The application of this technology enables the product to generate high-definition ultrasound images after multiple scans, significantly improving the display rate of boundaries and the contrast resolution of images, while effectively reducing noise interference in the images.

Furthermore, the product adopts innovative speckle noise suppression technology, which is based on the intelligent image recognition function of the RF platform and can accurately identify and eliminate inherent speckle noise in the image. This not only significantly improves the clarity and contrast resolution of the image, but also makes the image details more delicate and clear, providing doctors with more accurate diagnostic basis.
With the continuous application and promotion of ATX products, their value in the medical field is increasingly prominent, becoming a key factor in improving the quality and efficiency of medical services. This product not only achieves significant technological breakthroughs, but also demonstrates enormous potential and advantages in practical applications.

Zhiye Big Model x Aluminum Industry

Aluminum, lightweight and tough, is an indispensable basic raw material in modern industry. Due to its light texture and excellent chemical corrosion resistance, aluminum can occupy a “place” in many industrial fields, from aerospace to transportation equipment, from construction and packaging materials to chemical equipment. While playing a crucial role, the production of electrolytic aluminum also faces problems such as high energy consumption, low level of refined management in production and operation, and urgent need to improve the professional skills of talents.

Production safety cannot be ignored. Therefore, building a digitalized and intelligent production management model through digital and intelligent technologies has become a trend to promote the green and low-carbon development of the industry.

In this context, Inspur Cloud has developed the “Knowledge Industry Model” for the industrial sector. With advantages such as industrial data analysis, industrial knowledge reasoning, and industrial code generation, the digital empowerment of the aluminum industry has enabled it to move towards “new” and “green” development. It has successfully helped a Fortune 500 aluminum industry leader achieve digital production and refined operations, paving the way for high-quality development of the aluminum industry.

Aggregate global data to activate the “source power” of aluminum industry
Aluminum electrolysis production is a process with significant delay, multivariate coupling, and nonlinearity. Due to the high temperature and strong magnetic field environment inside the aluminum electrolytic cell, the real-time material stacking status and electrochemical reaction process inside are difficult to directly measure through sensor devices, resulting in the inability to accurately describe the production status qualitatively and quantitatively, which has become a core challenge restricting the improvement of electrolytic cell production efficiency, stability, and service life.

In response to the “data blind spots” in the electrolysis process, Zhiye Big Model has created the Intelligent Aluminum Data Capability Center. On the one hand, it realizes the rapid assetization of massive, multi-source, and heterogeneous data across the entire domain, reducing data extraction from days to seconds. Based on the collection and aggregation of historical data on electrolysis cell production such as molecular ratio, cell temperature, average voltage, current efficiency, two-level, power consumption, and furnace bottom pressure drop, it provides efficient and easy-to-use data services to achieve data-driven refined operation; On the other hand, by collecting data assets to extract knowledge of the electrolysis industry, the monitoring of electrolytic cell conditions can be transformed from manual duty to machine active learning. Real time monitoring of core indicators such as temperature, average voltage, current efficiency, and furnace bottom pressure drop of the electrolytic cell can be achieved, and a real-time evaluation model for the operation status of the electrolytic cell can be established. Root cause analysis of common abnormal conditions can be conducted and effective solution guidance can be provided. Hidden knowledge can be fully explored and transformed into valuable intellectual property rights, continuously helping enterprises innovate and develop.
At present, in the application process of the aluminum industry, the “Zhiye Big Model” has gathered data collection from 32 aluminum factories and 4000+equipment, completing data integration covering various process sections of electrolytic aluminum, alumina, and thermoelectric sectors, achieving a 5% improvement in various numerical collection accuracy, and providing strong support for equipment diagnosis and warning, and assisting intelligent decision-making.
Developing segmentation models to shape a strong production engine
Building a data model is the foundation for conducting data analysis. Based on the most complete and comprehensive data of the aluminum industry, Inspur Cloud has developed targeted multi class segmented scenario models, which can not only empower various production links and capture the digital transformation of core manufacturing links, but also build a high-level industry dataset, effectively optimizing the entire industry ecosystem and promoting industry transformation and upgrading.
The “Zhiye Big Model” regards each electrolytic cell as a complete lifecycle process, carries out various algorithm research and development, dynamically generates electrolytic cell plan aluminum output evaluation, fluoride salt addition recommendation, automatic adjustment of alumina feeding interval time, automatic adjustment of anode voltage and other process algorithms. A production control and process optimization model for the entire lifecycle of aluminum production based on the “Knowledge Industry Big Model” has reduced the abnormal fluctuation rate of electrolytic cell classification by 13%, significantly improving the accuracy of cell control decisions.

The prerequisite for the application of industry big models is first to form the basic training set of the big model. Inspur Yunzhou is also developing a large-scale model for the aluminum electrolysis industry. By sorting out basic data such as aluminum industry mechanism knowledge, expert experience, operating procedures, industry standards, policies and regulations, a knowledge text set and a question and answer set are constructed, forming an aluminum industry knowledge base based on industrial large-scale model technology. Among them, through multimodal services, it is also possible to achieve voice interaction between users and the system, assisting enterprises in carrying out employee training and evaluation work, and applicable to scenarios such as job knowledge learning, equipment maintenance guidance, and solution recommendation.
Building a new coordinate for digital twin innovation quality control
Currently, the development of digital twin technology has entered the “fast lane”, and a good “chemical reaction” continues to emerge between digital twin and industrial development. Inspur Cloud Island takes advantage of the situation and explores the application of cutting-edge technologies such as industrial digital twins. Based on the “knowledge industry big model”, it constructs a “digital industry factory” for the industry that is similar to the physical aluminum industry, and realizes, deepens, and optimizes digital transformation and upgrading.
Under the guidance of data, Inspur Yunzhou focuses on creating a scenario based concept for factory management by utilizing digital twins and VR to achieve full process transparency in production. The digital twin scenes in the factory and workshop are displayed on a large screen to achieve visualization of factory production. The personnel used in the workshop production process, electricity consumption, gas consumption, aluminum output, working conditions of each tank, and the operation of changing poles to produce aluminum can all be displayed uniformly.
By constructing this aluminum electrolysis simulation twin that integrates physical dynamic models and virtual simulations, the “Zhiye Big Model” provides a multifunctional digital twin service that integrates plant operation management, government visit experience, collaborative scheduling, park virtual simulation, emergency linkage command, and major event support. Currently, the digital twin construction of 12 square kilometers of electrolytic aluminum and alumina plant areas has been completed, achieving real-time perception, dynamic analysis, and elastic control of more than 6000 devices and over 3000 core production indicators. Based on the obtained production data, production personnel can quickly grasp the production situation and optimize it in a timely manner, ultimately achieving a 1.5% optimization of single slot aluminum output and an average annual reduction of 100 million kWh in power consumption.
Only by truly rooted within the industry, delving into practical application scenarios, and promoting trustworthy and free flow of business based data, can the value of big models be truly demonstrated, thereby empowering thousands of industries. The successful practice of the “Zhiye Big Model” in the aluminum industry has created a typical demonstration effect, which is conducive to the promotion and application of the big model in the industrial field.

Leading the development of industrial digitization, Schneider Electric collaborates with the ecosystem to create future industrial influence

At the 2024 Schneider Electric Industrial Digital Ecosystem Partner Summit with the theme of “Digital Intelligence Leads Together for Win win”, Schneider Electric, a global expert in digital transformation in energy management and automation, comprehensively showcased end-to-end industrial software solutions and achievements. On site, they released two major digital solutions, the semiconductor industry factory management suite and the chemical industry safety risk intelligent control platform, and signed agreements with five leading enterprises on digital joint innovation.

Currently, empowering the construction of new industrialization with digital and intelligent technologies, accelerating the development of new quality productivity, has become an important direction for the current development of intelligent manufacturing. At the same time, cutting-edge technologies such as AI and digital twins are accelerating their integration into various application scenarios in the industrial field, providing strong impetus for enterprises to accelerate their digital and green low-carbon “dual transformation”.

At the meeting, Ding Xiaohong, Senior Vice President and Head of Industrial Automation Business in China at Schneider Electric, said, “In the current era where new quality productivity deeply empowers high-quality industrial development, opportunities and challenges coexist. Comprehensively reshaping the value chain has become a new way for enterprises to win the future. In this regard, Schneider Electric will rely on end-to-end digital solutions that fully connect industrial automation and energy management, full-service lifecycle coverage, and focus on the integration and innovation of AI and application scenarios. We will work closely with digital and sustainable ecological partners to accelerate industrial transformation and upgrading, and create future industrial influence

Ding Xiaohong, Senior Vice President and Head of Industrial Automation Business in China at Schneider Electric
Software empowers digital transformation and empowers the entire lifecycle of industrial scenarios

As an indispensable key force in the process of industrial digital transformation, the value of software has far exceeded the traditional tool category, and it is reshaping the entire future industrial ecosystem in an unstoppable way. Based on continuous innovation and profound accumulation in the field of industrial software, Schneider Electric has digital “intelligent” applications covering AVEVA industrial software solutions, ETAP power system simulation software, RIB building software, EMS energy management solutions, ProLeiT process control system, and EcoStruxure open automation platform. It can cover the information integration and management of the entire life cycle of enterprises from design, construction, operation to maintenance, helping to create enterprise level industrial data dual bases and building digital twins for users in four major industrial scenarios: engineering, assets, processes, and production.

Specifically, the engineering digital twin that integrates simulation, design, and collaboration can help enterprises build a standard driven engineering data system, improve resource utilization, and provide support for multi professional team collaboration. The asset digital twin can cover the integration of asset information from the digital delivery of projects during the construction period to the operation and maintenance period, achieving visual management of enterprise asset information. In addition, the process digital twin is based on strict mechanism models and simulation tools of the process, which can provide steady-state simulation, dynamic simulation, and online optimization to unleash the potential of process operation. Finally, the production of digital twins trains AI algorithms through industrial big data to trace, monitor, and predict process production and equipment failures. It can find the optimal operating point within the controllable domain and achieve automatic device start-up, thereby improving enterprise efficiency.

With the continuous release of application scenarios around artificial intelligence and data elements, Schneider Electric is combining its accumulated professional knowledge in the industrial field with cutting-edge AI technologies such as big language models, machine learning, and deep learning, successfully applying AI technology to industrial scenarios such as process optimization, full process carbon reduction, refined energy consumption management, air compressor energy efficiency improvement, dynamic refrigeration efficiency improvement, and predictive maintenance, promoting the development of industrial intelligence.

Release industry innovation suite, leading the industry’s “digital intelligence” upgrade
As an active enabler of industrial digital transformation, Schneider Electric has always been driven by innovation, continuously creating digital and intelligent solutions for more industries, and helping enterprises accelerate transformation and upgrading. At the meeting, Schneider Electric released two major industry digital solutions: the semiconductor industry plant management suite and the chemical industry safety risk intelligent control platform. Among them,Semiconductor Industry Factory Management Suite: By connecting and integrating various equipment and systems through the FMCS factory management system, it promotes information sharing and centralized control between equipment and systems. It not only supports mobile devices for on-site operations, improves operator efficiency, but also enables visualization of major business processes and provides reliable on-site analysis basis; Meanwhile, decision-makers can effectively improve the efficiency of planning control, periodic planning, and scheduling based on data feedback and data mining.
Intelligent control platform for safety risks in the chemical industry: Based on the AVEVA PI System operation big data management platform, the HSE safety management suite can break down data silos between different systems, establish a safety database, and provide a production safety management map according to the needs of safety production management; By combining AI with industrial vision, intelligent analysis can be further achieved to eliminate hazardous factors and non compliant operations, bringing comprehensive digital transformation to the safety production of the chemical industry.

Concentrate on the industrial digital ecosystem and achieve a win-win future
The high-quality development of industry cannot be separated from the coordinated development of industrial digital ecology. Schneider Electric combines software and hardware in the process of industrial digitization, constantly creating a safer, more efficient, and green intelligent industry ecosystem. We join hands with ecological partners committed to digital transformation and accelerating enterprise development, innovate together, and achieve win-win results. On site, Schneider Electric signed agreements with Shanghai Huayi Information Technology Co., Ltd., Anshan Huashen Control System Co., Ltd., Zhonggong Digital Technology (Suzhou) Co., Ltd., Huzhou Industrial Control Technology Research Institute, and Zhongrun Huagu (Nanjing) Technology Co., Ltd. to jointly promote digital joint innovation and continuously inject new momentum into the construction of the industrial digital ecosystem.

At the industry case sharing session of the summit, Schneider Electric also shared the latest project progress and achievements in industries such as steel, chemical, and power plants with various partners. Among them, in the steel industry pellet project, Schneider Electric’s APC advanced process control system has achieved optimized control of its main process, coal production process, and auxiliary systems, effectively improving the production stability and control uniformity of the device. The APC utilization rate is not less than 98%, and the fluctuation deviation of key control variables is reduced by more than 20%; By optimizing control and “edge locking operation”, not only has the pellet production capacity and quality been improved, but energy consumption has also been significantly reduced, helping the factory further tap into the economic benefits of the equipment.

In the digital delivery project of a newly built chemical industry factory in Henan, Schneider Electric AIA Asset Information Consultant, based on digital twin technology, can achieve visualization, intelligence, and collaboration of the entire engineering process, helping users improve engineering quality and efficiency, and reduce costs and risks. Comprehensive digital delivery services covering the entire project from construction to operation and maintenance, providing unified and standardized management for the design and procurement process, supplier drawings, construction and completion process data, while meeting users’ needs for later operation and change of the digital delivery platform.

As a digital “weapon”, Schneider Electric’s AVEVA PI System operation big data management platform has also accumulated rich “practical” experience in fields such as petrochemicals, new energy, and life sciences. For example, enterprises can rely on the AVEVA PI System to operate a big data management platform, connecting over hundreds of thousands of on-site control and information system points in their different bases, creating a group level lightweight MES deployment and control. While achieving real-time monitoring and full cycle traceability of production data, it can accelerate the efficiency of production anomaly handling and improve the response capability of the entire factory to accidents, laying a solid digital foundation for its “digital future” strategy.

As a trusted partner of the enterprise, Schneider Electric will always take digital technology innovation as the sail and industrial ecological innovation as the propeller, constantly leading more industry enterprises to sail towards the vast blue ocean of future industry together.

About Schneider Electric
Schneider Electric’s mission is to empower everyone to maximize the use of energy and resources, create impact, and promote human progress and sustainable development together. At Schneider Electric, we call it Life Is On.

Our mission is to become your trusted partner for achieving efficient and sustainable development.

As a global leader in industrial technology, we apply world leading electrification, automation, and digitization technologies to smart industries, resilient infrastructure, future oriented data centers, smart buildings, and digital homes. Based on our rich industry expertise, we provide AI enabled end-to-end full lifecycle industrial IoT solutions, covering interconnected products, automation, software, and services, and adopting cross platform industrial data bases and “digital twins” to help customers achieve profitable growth.

Breaking through the Intelligent Transformation of the Electronics Industry, ABB and Porsche Management Consulting White Paper Released

In the complex and ever-changing global economic environment today, the electronic manufacturing industry is facing unprecedented challenges and opportunities. To assist manufacturers in addressing these challenges, ABB and Porsche Management Consulting jointly released a white paper titled “Robot Intelligent Solutions Empowering Surface Precision Machining” at the Industry Expo held at the Shanghai National Convention and Exhibition Center on September 24, 2024, focusing on how to enhance the productivity, flexibility, and sustainability of the electronics manufacturing industry through robot automation technology. The white paper released this time not only provides profound insights for the industry, but also valuable guidance for manufacturers in their intelligent transformation.

The electronics industry, waiting for a breakthrough, is on the verge of intelligent transformation
The competition in the electronic manufacturing industry is increasingly fierce, especially in the consumer electronics field, where profit margins are constantly narrowing. According to a survey conducted by Porsche Management Consulting on 48 senior executives in the electronics industry, 96% of companies have started transitioning to smart factories to achieve productivity, reliability, flexibility, and sustainability goals, but only 8% of companies have successfully achieved these expected goals. Behind this phenomenon, it reflects the insufficient understanding of physical process automation by enterprises and the slow introduction of new technologies.
Industrial Control Network believes that in the current market environment, if enterprises do not take active actions, they may face the risk of being eliminated by the market. Due to the rapid changes in consumer demand and intensified market competition, enterprises need to accelerate digital transformation and technological upgrades to maintain market competitiveness. At the same time, intelligent transformation will no longer be a single technology introduction, but will require the integration of strategic thinking, organizational culture, and talent cultivation to comprehensively enhance the competitive advantage of enterprises.
In such an environment, the introduction of robot automation technology is particularly important. Yan Jiaxin, Deputy Manager of Global Product Portfolio for ABB Robot Systems Applications, said, “The precision requirements and rapid iteration capabilities of the electronic manufacturing industry have put higher demands on manufacturers. By adopting advanced robot automation solutions, enterprises can not only improve production efficiency, but also reduce costs and waste. For example, robot processing solutions can significantly improve output and quality, while effectively controlling production costs, thereby enhancing the profitability of enterprises. In addition, ABB hopes to use software and digital technology to empower, accelerate product development and iteration processes, create greater profit margins for customers and suppliers, and enable them to maintain industry competitiveness in rapidly changing markets

Yan Jiaxin, Deputy Manager of Global Product Portfolio for ABB Robot System Applications (right), and Dong Juntian, Partner and Industrial Product Manager at Porsche Management Consulting China (left)
It can be seen that with the continuous development of artificial intelligence and machine learning, the automation level of the electronic manufacturing industry will further improve in the future. Enterprises should not only focus on current automation technologies, but also pay attention to future technological advancements, such as intelligent robots and collaborative robots, which can better collaborate with human workers and enhance production flexibility. In addition, with the popularity of the Internet of Things (IoT), the manufacturing industry will increasingly rely on data analysis and real-time monitoring to optimize production processes, thereby achieving true intelligent manufacturing.
White paper heavyweight release, ABB robot automation solution improves efficiency and quality
The white paper provides a detailed introduction to how ABB’s robot automation solutions can help manufacturers improve productivity, especially Machining PowerPac, an offline programming tool based on RobotStudio that has the ability to automatically generate CAD path codes, making the application of robots in surface finishing more efficient.
It should be pointed out that ABB has found through past project experience and summary that manufacturers can use this technology to reduce the time required to generate robot paths from 4 hours to 3 minutes, and increase cycle time by 33%. This not only improves production efficiency, but also significantly reduces appearance damage caused by path design defects, thereby saving materials and costs. It is precisely due to the reduction of appearance damage caused by path design defects that 8000 prototype parts, equivalent to 2.37 tons of aluminum alloy, may be saved. Due to improvements in time, quality, and productivity, as well as additional savings in materials and energy, the investment in Machining PowerPac can typically be recouped within three months, with an expected return on investment of over 1200% within 18 months.

Under data validation, what you see is what you get. We can see that this successful application not only represents ABB’s leadership in the field of robotics technology, but also provides a successful case for the entire industry to learn from. At the same time, it has become an important reference for companies inside and outside the industry to invest in technology. In the future, manufacturers will increasingly rely on data-driven decision-making to evaluate the efficiency and flexibility of their production lines in real-time, in order to quickly respond to market changes and maximize production efficiency.
Furthermore, from the perspective of industrial control networks, the collaboration between ABB and Porsche Management Consulting combines the industry expertise and profound experience of both companies. Porsche’s accumulation in industry observation and in-depth analysis, combined with ABB’s leading position in the field of robot intelligent manufacturing, has made their cooperation an important force in the industry.
Dong Juntian, Partner and Head of Industrial Products at Porsche Management Consulting China, said, “In addition to the electronics manufacturing industry, we have established a deep cooperation relationship with ABB’s robot building automation team. The cooperation is not limited to these specific industries, but has also expanded to cutting-edge fields such as intelligent manufacturing, Industry 4.0, and artificial intelligence, conducting extensive and in-depth discussions and collaborations
The cross-border cooperation model will become an important trend in the future development of the industry. In the wave of intelligent manufacturing, enterprises form strong alliances through strategic alliances and technological cooperation, creating more value-added services to cope with the increasingly complex market environment. With the continuous evolution of intelligent manufacturing technology, especially in data sharing and platform construction, future cooperation will not only be the combination of products and technologies, but also the construction of ecosystems, promoting innovation and development of the entire industry.
We also hope that ABB and Porsche Management Consulting will collaborate on more diverse topics, further deepen their research and exploration in the field of intelligent manufacturing, promote greater value for electronic manufacturing enterprises in the process of intelligent transformation, and provide practical and feasible technological paths for enterprises. At the same time, electronic manufacturers should seize the opportunity of intelligent transformation, embrace new technologies, and enhance their competitiveness in the global market. In the future, with the deepening development of intelligent manufacturing, the electronic manufacturing industry will inevitably usher in new growth opportunities driven by both technological innovation and market demand.

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