Intelligent management of industrial building energy saving based on artificial intelligence

In order to improve the efficiency of energy-saving management of industrial buildings, this paper combines artificial intelligence technology to analyze the intelligent energy-saving of industrial buildings, and reduces the energy consumption of industrial buildings through intelligent energy-saving management. Moreover, this paper analyzes the circuit structure design, work flow, and functional description of industrial energy-saving buildings to realize the control interface of electrical equipment, and explains the specific hardware design of energy consumption acquisition module and intelligent gateway. In addition, this paper uses the data collected by the hardware as the input to establish the impulse prediction model. Finally, this paper constructs an intelligent management system for industrial building energy conservation based on constraints and optimization conditions. The data analysis results show that the intelligent energy-saving management system of industrial buildings based on artificial intelligence constructed in this paper has good effects and can play an important role in the energy-saving management of industrial buildings.