Intelligent Energy Management Solution -- Data-driven Energy Efficiency Optimisation for Green Transformation of Enterprises

Programme Overview
Based on the Internet of Things (IoT) and AI algorithms, it builds a whole-process management system covering energy collection, analysis and optimisation. Through smart meters and sensors, real-time monitoring of water, electricity, gas, heat and other energy consumption data, combined with the operating status of equipment and production scheduling, accurate positioning of high energy-consuming links, visualisation of energy consumption, abnormal early warning and intelligent tuning of strategies, helping enterprises to reduce the cost of comprehensive energy consumption by 10% -30%.


Core Functions

Panoramic monitoring: real-time collection of multi-dimensional energy data.

Intelligent diagnosis: AI algorithm identifies inefficient equipment operation and no-load loss;

Strategy optimisation: automatic generation of peak and valley electricity consumption plan, renewable energy dispatching scheme;
Carbon emission management: generating carbon emission reports with one click, benchmarking against industry standards.
Technical Advantages

Multi-protocol compatibility: supports Modbus, BACnet, OPC UA and other industrial protocols, quickly connecting to PLC and SCADA systems;
Prediction model: Combine meteorological and production data to predict the trend of energy consumption in the next 24 hours (comparison chart of prediction curve vs. actual curve);
Edge computing: localised data processing to ensure real-time response in high concurrency scenarios.
Application Scenarios
Industrial manufacturing (group control and energy saving of air compressors), commercial buildings (intelligent regulation of HVAC systems), intelligent parks (collaborative management of photovoltaic + energy storage).

Security and Expansion
Supports public cloud/private deployment, encrypted data transmission, ERP, MES system integration, and customised development of API interface.