Heat supply adjustment method and system for heat exchange station based on artificial intelligence

Abstract

The present invention provides a method and system for heat supply regulation of heat exchange stations based on artificial intelligence. Firstly, relevant parameters are defined in conjunction with intelligent agents to generate operating data in the actual heating process, and the operating data are preprocessed; then the processed operating data are Model training is carried out through artificial intelligence algorithms to obtain a prediction model; then the real-time operation data is collected and combined with the model to predict the target value of the secondary flow and secondary heating; finally, the frequency of the circulating pump and the opening adjustment of the one-network valve are controlled according to the predicted target value The heat load of the heat station can be adjusted to realize the dynamic adjustment of the indoor average temperature. The invention applies the artificial intelligence algorithm to the heat supply adjustment of the heat exchange station, obtains the prediction model of the secondary flow and temperature supply through model training, and predicts in advance the flow and temperature supply required to achieve the target indoor average temperature, combined with the heat supply unit The operation data adjusts the heat load of the heat exchange station in real time, providing a more scientific and reasonable dynamic adjustment capability for the heating unit.

Description

technical field [0001] The invention relates to the technical fields of heat supply and artificial intelligence, in particular to a heat supply regulation method and system for a heat exchange station based on artificial intelligence. Background technique [0002] In recent years, with the promulgation of relevant national policies, central heating is generally used to solve the heating problem of urban buildings. Central heating is a better heating method, which has the characteristics of comfort, energy saving, environmental protection, and safety. However, with the continuous expansion of the city scale, the coverage of the urban central heating network and the heating area are getting larger and larger, and the number of heat exchange stations is increasing; it is difficult to realize on-demand heating in time, resulting in a huge waste of resources. User comfort is also difficult to guarantee. [0003] In the traditional heat supply, the heat supply adjustment of the h...

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Problems solved by technology

[0004] In order to solve the problem of large-scale central heating in the existing technology, it is difficult to realize on-demand heating, and the existing method based on heat load regulation of heat exchange stations has low efficiency, poor applicability, and large errors; it is necessary to provide a scientific Reasonable heating adjustment method with dynamic adjustment capacity

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