In the field of energy consumption control and equipment operation and maintenance system, the project proposes the combination of management energy conservation, technical energy conservation and operation and maintenance optimization, advocates the mode of joint promotion of management energy conservation and technical energy conservation according to the energy conservation optimization system, and uses supporting software and hardware to reduce the investment cost of energy conservation.

The platform aims to help enterprises identify carbon reduction opportunities throughout the entire life cycle of power equipment products, uncover the carbon reduction potential within the supply chain, promote green supply chain management upgrades, and assist power equipment manufacturers in moving towards a green and low-carbon future. The platform calculates the carbon emissions throughout the entire life cycle, provides feedback on emissions at each stage, traces the product carbon footprint, and thereby achieves the effect of reducing supply chain carbon emissions. The platform possesses models for various power equipment product production processes, features rapid calculation and loading capabilities, and combines a comprehensive emission factor database with precise data matching to ensure strong data credibility. It helps enterprises discover potential carbon reduction spaces and create more green value. The platform can meet the requirements for carbon footprint calculation, disclosure, and management.

The system functions like an "intelligent brain" with multiple capabilities, playing crucial roles in energy management processes such as perception, analysis, and decision-making. The platform first collects variables including voltage, current, power, power factor, operational status, temperature, and humidity from energy-consuming equipment or energy measurement devices. It then conducts in-depth mining and analysis of these data to identify peak and off-peak energy usage periods. Ultimately, it helps energy-consuming entities establish suitable energy management systems, achieving goals such as authentically reflecting their energy usage information and energy-saving status, optimizing energy allocation, and predicting future energy consumption patterns.