Application of intelligent IoT interconnected MES system technology in the lithium battery industry

The application of intelligent IoT interconnection technology in the lithium battery industry, especially the application of MES systems.

First: needs and policies.

On-demand production, driven by technology, intelligent manufacturing is our future development direction. Customization and flexibility are the most important features of future industrial production. Intelligent manufacturing carries customization and flexibility. With intelligence, there will be data. With the data, we can analyze the data, improve efficiency, and achieve leaner production. This is a basic concept of our intelligent manufacturing.

Regarding market demand, various parts of the country have jointly issued a number of policies to strongly support the lithium battery industry. The State Council issued the "Guiding Opinions on Deepening the "Internet + Advanced Manufacturing" to Develop the Industrial Internet, which clearly proposed a plan to build an industrial Internet and accelerate the construction of the entire platform; creating an intelligent lithium battery industrial ecology will naturally become a major issue in the future. direction.

Second: Internet of Things and smart technology.

The Internet of Things and smart technology are important points in building an ecological chain for the lithium battery industry. How to unify the Internet of Things, the Internet, smart manufacturing and lithium battery equipment?

There are two aspects of technological promotion: one is the standards of the new industry, in terms of safety and performance improvement, and the second is the Internet of Things technology, artificial intelligence technology, how intelligence and digitalization support the new ecology of the lithium battery industry.

It is deeply integrated with the lithium battery industry. Specifically, one technology is in artificial intelligence, machine vision and deep learning, and the other is in cloud computing and big data.

Third: How to implement intelligent manufacturing? How to implement products in the intelligent manufacturing industry?

In-depth understanding of process data, adding intelligent sensing and artificial intelligence algorithms, and designing intelligent equipment.

At the same time, the MES system was also implemented. The microservice system creates a stable, reliable, and real-time system. Even if one point fails during the operation of this system, it will not affect the operation of the entire system.

An intelligent MES system that can directly connect to the cloud system.

• The first step is to transfer production data by collecting data from different dimensions such as man-machine, material, environmental testing, and time;
• Next, we will conduct an in-depth study of the mathematical models of each production factor to improve production efficiency and provide a basis for quick decision-making. For example, planning and scheduling can use the Toyota lean production model for the lithium battery production process, using push production in the front stage and pull production in the back stage. Production;
• Afterwards, big data was mined, and the mathematical model was deeply mined for the research on the lithium battery production industry to build a truly intelligent MES system.

MaaS (MES as a service) promotes the development of the entire lithium battery intelligent manufacturing and creates an MES system that can be implemented quickly, is stable, reliable and intelligent.

Source: Maizi Intelligence