Mitsubishi Electric's MES system MELNAVI has a standard database, which can meet the needs of the 11 major functions required by MES, and also supports flexible secondary development, which can easily connect the upper ERP and lower automation products in a short time, and can also be connected to other APS scheduling software and analysis systems. Mitsubishi Electric provides cost-effective MES system solutions for the lithium battery industry.
The MES interface modules of Mitsubishi Electric's Q series PLCs and R series PLCs can also replace the gateway accounting machine in the traditional connection mode, allowing the on-site PLC and human-machine interface products to communicate directly with the host computer, simplifying the architecture and improving reliability.
Mitsubishi Electric's human-machine interface GET products have a variety of communication interfaces, which can be connected to multi-brand PLCs to collect data, and can also use GET's built-in script function to perform simple data accounting, and then transmit data to the host computer.
Marginal accounting skills are introduced into lithium battery occupations
In the IoT system, marginal accounting is one of the most important skills, especially for the lithium battery industry, the massive data generated in the production line, transmission, processing and storage will bring great challenges, and will also constitute problems such as overload and data delay of the IT system. As a result, Mitsubishi Electric has strengthened its skills at the marginal level, and has developed a number of tools in collaboration with leading lithium-ion battery companies in the industry to create complete, sophisticated, and diverse solutions to help customers address on-site issues.
Guess and improve the coating surface density quality of lithium batteries
On-site topic: The consistency of coating surface density will have a direct impact on the capacity classification of the final product battery, and how to improve the consistency of surface density has become a major problem that lithium battery manufacturers need to overcome.
Solution: Through offline analysis of 127 kinds of data such as raw material data of the feeding system in the coating process, as well as 127 kinds of data such as rewinding and unwinding tension and oven temperature at the equipment end, four factors related to the change of coating surface density were extracted. Use AI skills to perform offline analysis to create a set of diagnostic rules to guess the density of the coating surface, complete real-time monitoring, and guess the quality of the coating product to optimize the process parameters.
Real-time guessing and alarming of welding quality
On-site topic: In the three process sections of tab ultrasonic welding, cell shell cap welding and PACK welding, the welding quality will seriously affect the safety of the product battery, how to ensure the yield rate of welding, and improve the operation efficiency of welding equipment, which is also a key element that reflects the brand positioning of major battery manufacturers.
Solution: Using AI skills and big data analysis, by collecting data such as equipment status, welding process parameters, and environmental parameters, guess and give real-time alarms to quality problems such as porosity, virtual welding, partial welding, and poor welding in the welding process, so as to avoid batch quality abnormalities and effectively improve the welding quality of lithium battery production sites.
Mitsubishi Electric is contributing to the construction of a smart factory for lithium-ion batteries
Mitsubishi Electric has 100 years of production experience, and on this basis, it has formed an intelligent production solution, and first applied this advanced concept to its own factory production promotion, and iteratively updated in practice to empower advanced production. In the field of lithium battery production, Mitsubishi Electric has a long history of cooperation with leading professional enterprises, high-performance automation products, high-precision processing machine equipment and CNC systems and other products, as well as deep professional solutions, to help customers continuously improve production efficiency, improve production quality, reduce energy consumption and costs.
In the era of intelligent production, Mitsubishi Electric relies on its perfect product line and extensive cooperation alliances to highlight its advantages in data extraction, transmission, marginal layer data analysis, algorithms, etc., providing a variety of methods and tools for the integration of FA and IT systems, and also providing customers with solutions that fit the development stage, product characteristics and trends of subdivisions, so as to complete the intelligent production of the first step.
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Solution: FA-T-RS40* Mitsubishi inverter is available.
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FX1S Series:
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