Yang Zhengyu: Digital Strategy of Power Battery Production

Yang Zhengyu, CTO of industrial digitization of pilot Intelligence Research Institute, delivered a keynote speech entitled "digital strategy of power battery production" from the perspective of industrial data value mining.

From the perspective of lithium battery industry, policy, market and technology upgrading have driven the rapid development of the industry, superimposing the pain point challenges of energy conservation and efficiency, cost reduction and quality improvement and safety assurance, forcing the power battery manufacturing to undergo upgrading and reform.

On March 20, the 2021 lithium battery intelligent manufacturing summit was grandly opened in Shenzhen, hosted by senior engineering robot, senior engineering lithium battery and senior engineering consulting. 800 guests from lithium battery, intelligent equipment, manufacturing line, warehousing and logistics gathered to discuss the leap forward of lithium battery intelligent manufacturing.

At the meeting, Yang Zhengyu, CTO of industrial digitization of pilot Intelligence Research Institute, delivered a keynote speech entitled "digital strategy of power battery production" from the perspective of industrial data value mining.

Yang Zhengyu pointed out that at present, the installed capacity of new energy vehicles is insufficient, the expansion of lithium battery production is urgent, and the automation level of production line is high. However, it still faces the problems of quality, lean level to be improved and insufficient online promotion level of quality.

With the development of automation, IOT, intelligence and digital technology, it is bringing new opportunities of high efficiency, low consumption, high quality and lean for the intelligent transformation of different business scenarios in the industry value chain.

However, it is worth noting that at this stage, the development of digital technology has been relatively mature, but due to the lack of scene confirmation, its important value is still less reflected.

Especially in the field of power battery manufacturing, core application scenarios such as real-time monitoring and maintenance, improvement of production safety, supply chain and logistics, cost reduction, efficiency improvement and extension of product / equipment life all need to realize data aggregation and optimization and output data value.

Focusing on thinking about evidence and data in new ways, leading intelligence uses data science and insight into scenarios to realize data value mining including big data, thick data and wide data.

Big data: big data analysis is more concerned with the physical meaning of data and the mechanism logic of feature correlation.

Thick data: thick data solution refers to the data explained by anthropological qualitative research method, which aims to reveal why it is done.

Wide data: industrial wide data focuses on how to use it, analyze causality and measure confidence.

From the perspective of leading intelligence, industrial data value mining is a product of the integration and coevolution of industrial ecosystem. It takes scenario algorithm as the core engine, data as the key production factor, ecology as the main business carrier, and openness and win-win as the mainstream cooperation mode.

At present, the layout path of leading intelligence in industrial digitization includes an intelligent closed loop driven by industrial data to promote the integration of it information system and ot production system; IOT fusion gives birth to the evolution of digital twin virtual computing; Improve product quality and realize run to run quality control through algorithm optimization and prediction analysis.

As the world's leading intelligent manufacturing overall solution service provider, pioneer intelligence is the only lithium battery overall solution service provider with complete independent intellectual property rights.

Leading intelligence can provide customers with solutions for the whole line of lithium batteries, including square shell, cylindrical, soft packed lithium batteries, etc., from battery cell pole piece manufacturing, cell assembly, chemical capacity separation test to module / pack, and by matching the self-developed intelligent logistics system and MES intelligent factory software, supplemented by digital twins, human-computer interaction, intelligent perception, machine vision Laser technology and other leading technologies to provide customers with lithium battery industry 4.0 intelligent factory.

Yang Zhengyu finally stressed that in the national policy, big data and intelligent equipment have been promoted to a considerable height. He believes that the competition of equipment enterprises in the future will be the competition of scientific and technological innovation and application.

Original title: Intelligent Manufacturing Strategy of intelligent power battery guided by mining data value

The source of the article: WeChat official account: high tech lithium battery] welcome to add attention! Please indicate the source of the article.

Yang Zhengyu: Digital Strategy of Power Battery Production 1

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