There is a relatively common phenomenon here that a hydraulic imbalance happens in central heating system. In actual operation, we often find out some households with excessive heat or cold. In order to solve this problem, the heating company has no choice but to increase the flow of secondary network circulating pump or the supply water temperature of whole secondary network. However, it will result in the increase of the energy consumption and distribution electricity consumption. Meanwhile, the automation of control system is not enough, and it requires many manual operations.

For unit IOT temp. balancing solution, it takes the unit as a secondary network hydraulic balancing node, adopts return water temperature regulation strategy to achieve balancing in the whole network. It could solve the problem of hydraulic imbalancing between each unit and eliminate the phenomenon of uneven hot and cold for nearby and distant unit. The solution combines IOT, cloud big data calculation and AI analysis technology, bases on the deeply combination of digitized, networked, intelligentized information technology and advanced heating technology. It has the characteristics of self-awareness, self-analysis, self-diagnosis, self-solve and so on, maximized to solve the exist heating problem, realized the secondary network hydraulic balancing and energy-saving.