Audi FAW New Energy Vehicle Factory Station Energy Management System Project
The energy management system of the Audi FAW New Energy Vehicle Factory includes energy data collection, integration, processing, and application across the entire plant. The Mechanical Ninth Institute applies an intelligent system overall solution in the project, which can automatically identify energy consumption patterns through intelligent driving, analyze energy consumption data in real-time, and achieve a closed-loop optimization process management from data collection to strategy adjustment, ensuring maximum energy efficiency. At the same time, digital twin technology is introduced to build an interactive interface that combines virtual and real elements, which not only strengthens the intuitive expression of business logic but also provides strong support for simulation prediction and decision-making in complex systems. It is particularly noteworthy that the Mechanical Ninth Institute uses a low-code platform in this project, allowing the system to be flexibly configured and rapidly iterated according to actual needs, significantly shortening the development cycle and improving responsiveness to the market.
As the heart of the factory's energy supply, the power station integrates multiple subsystems such as heating, cooling, circulating cooling, and compressed air systems through meticulous and efficient coupling design by the Mechanical Ninth Institute in this project. By integrating intelligent algorithms, these systems no longer operate as isolated islands but achieve global supply-demand balance management, ensuring continuity and stability of energy supply while effectively avoiding energy waste. This provides the factory with best practice solutions for energy conservation and emission reduction, assisting management in making more scientific and forward-looking decisions, continuously pushing the factory towards a green, efficient, and intelligent direction. It successfully achieves the comprehensive management goals of 'data visualization, real-time monitoring, lean management, and intelligent decision-making,' bringing revolutionary changes to the factory's energy management.
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