What is intelligent heating?
Smart heating is a modern heating mode based on digital, networked and intelligent information technology facilities, targeted at users, characterized by low carbon and comfort, and characterized by perception, extensive interconnection and deep intelligence. It has the functions of monitoring, regulating, metering, forecasting, dispatching, managing and serving the heating system, so as to realize the safe, green, intelligent and economic operation of the heating system.
The intelligent heating system pursues the flexible operation of the heating system, and its essence is "man-machine cooperation". It emphasizes that the heating system can independently cooperate with changes in external conditions, user needs and people's work, and use artificial intelligence to improve work efficiency and system security.
Why to realize intelligent heating
For a long time, the operation dispatching control of heating system mainly depends on the knowledge and experience of production experts. However, facing the new trend and new challenges of the continuous expansion and diversified development of urban central heating system, the traditional dispatching control based on manual experience has been difficult to ensure the safe operation of the heating system. At present, new generation information technology, such as industrial Internet, cloud computing, big data, artificial intelligence, etc. It has shown strong ability in operation management, dispatching control and element configuration of complex production systems, and the development of intelligent heating has become the consensus of China's heating industry.

How to realize intelligent heating
First, heating informatization is the basis of intelligent heating, which essentially emphasizes the interconnection of heating information and unattended equipment. Heating informatization completes heating data acquisition, data communication, data storage, system control, enterprise management and user service. In the stage of heating informatization, the control model adopted by the software is compiled by using the existing static physical model (including basic theoretical model, process logic model, equipment model, component model, fault model, simulation model, etc.) And experience, using static models to deal with dynamic problems in heating operation.
After the informatization construction of the heating system is completed, the dynamic data of the heating system can be obtained. The intelligent heating system is based on the mechanism model and combined with the artificial intelligence method to establish the dynamic model of the heating system. The original static control is changed into dynamic control, breaking the common operation strategy of the heating system at this stage, that is, the user can passively receive the heat in a given station or primary network, and can supply more or less. The intelligent heating system needs to start from the load side, first obtain the heat required by users, and then feed back to the heat exchange station.
Therefore, it is necessary to determine the user load, break the original planned heating, and no longer rely on the set or empirical heating indicators to reset the load. By analyzing and sorting out the operation data in the heating system, the load forecasting model of the system can be established, the predicted load can be used to guide the real-time adjustment of the heating system, and the stable heating can be achieved through advance judgment.
Secondly, using the system mechanism model and artificial intelligence technology, the intelligent heating system can identify the inherent characteristic parameters close to the heating system Z, including the heat transfer coefficient of the building, the performance curve of the pump, the resistance characteristics of the pipe network, the heat transfer efficiency of the plate heat exchanger, etc. By identifying the characteristic parameters, we can establish a control strategy suitable for the heating system, completely abandon the design parameters, customize the adjustment strategy for the heating system, build an intelligent decision-making network, and ensure the operation of the system.
In addition, the obvious advantage of intelligent heating is that it has the ability of independent learning and decision-making, and automatically updates the operation strategy according to the actual operation feedback of the system to improve the energy efficiency of the system.