Centering on the fuzzy control technology, AI and the IoT technology, this system combines control of individual unit at the heat exchange station and centralized management and control of system to realize intelligent regulation and whole-process coordinated control of the heat exchange station, heat source, buildings and heat users based on the specific heat quantity demand. The core algorithm of ACS heat exchange station can realize intelligent control of types of heat exchange stations, including direct supply heat exchange station, direct connection heat exchange station, mixed-water heat exchange station, steam heat exchange station, distributed variable frequency heat exchange station, etc. It solves the fundamental problem of the traditional heat network monitoring system (PLC, DCS and other electric control systems) that operation can only be performed via the mouse based on the operator’s experience, but intelligent calculation, intelligent control and regulation cannot be realized based on heat supply lag time, climate change, real-time data of the heat exchange station and other factor changes. So, this system really realizes whole-process automatic operation of the heat exchange station.

Characteristics and advantages:

◎ The return rate is high, installation is simple, and the heat supply quality is improved. The intelligence degree is high, the process management is advanced, and this system is advanced in this industry;

◎ The comprehensive energy conservation rate of this system is over 5%;

◎ It reduces labor intensity by over 50-70%;

◎ It realizes the long-term automatic control rate of over 99%;

◎ It can realize intelligent coordinated operation with the heat source based on the real-time load and heat quantity demand of the heat exchange station. It can guide the heat source to perform heat production based on the real-time demand;

◎ Coordinated control is applied to the heat exchange station and the residents’temperature system. It can modify the load of the heat exchange station according to the in-time indoor temperature of residents, can realize the parameter control mode of the electric valve and frequency converter of the heat exchange station to realize heat supply as needed;

◎ It applies the pre-treatment mechanism that can forecast the situation 6 hours later, and the precision can be up to 5min;