The heating hydraulic simulation system is based on fluid mechanics principles, deeply integrating multi-source data such as GIS geographic information, pipeline network topology, and equipment operating parameters. Through a visual client, it realizes the full- process simulati

The intelligent heating large model is based on technologies such as machine learning, large models, and intelligent agents, integrating heating knowledge, production data, weather data, building data, and user feedback. It drives collaborative linkage of AI models at the statio

The platform integrates IoT, big data, and cloud computing technologies to build a multi-source energy consumption monitoring system, covering building electricity (lighting, air conditioning, etc.), heating, water, gas, and other multi-energy category management. It ena

A comprehensive management platform for distributed energy stations based on advanced technologies such as IoT, AI, and edge computing. It achieves integrated data collection, equipment control, and strategy formulation for both the source and terminal ends of distributed energy

The household monitoring management system integrates IoT, big data, and cloud computing technologies to achieve high-concurrency data collection and intelligent management of heating terminal devices. It features operation monitoring, historical analysis, heat theft inspection,

The secondary network balance control system utilizes sensing technology, big data analysis, AI algorithms, and automated control to dynamically adjust the heating network, provide heating on demand, and manage it precisely. It addresses issues such as thermal imbalance in the se

The Unified Network Balance Control System is designed for the characteristics of domestic centralized heating systems, utilizing AI control, expert algorithms, and curve control technologies to address hydraulic imbalance and uneven heating and cooling issues. Through intelligen

The intelligent heating production operation platform utilizes advanced information technology to achieve comprehensive monitoring and management of the heating network. The system displays real-time operational data of heat sources, heating networks, heat stations, and new energ

Relying on digital twin technology, GIS geographic information systems, and "Internet+" technologies such as the Internet of Things and cloud computing, the smart heating comprehensive management platform has constructed a five-level penetrative management architecture of "compan