Heat exchange station heat supply adjusting method and system based on artificial intelligence
A technology of artificial intelligence and adjustment method, applied in the heating system, space heating and ventilation details, heating methods, etc., can solve the problems of difficult to achieve on-demand heating, low efficiency, poor applicability, etc., and achieve scientific and reasonable dynamic adjustment. effect of ability
Active Publication Date: 2020-08-21
RUINA INTELLIGENT EQUIP CO LTD
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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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[0040] A preferred embodiment of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0041] Such as figure 1 The artificial intelligence-based heat supply adjustment method for the heat exchange station includes the following steps:
[0042] S1. Define relevant parameters and combine intelligent agents to generate operating data in the actual heating process, and preprocess the operating data;
[0043] S2. Perform model training on the processed operating data through an artificial intelligence algorithm to obtain a prediction model;
[0044] S3. Collect real-time operating data and combine the model to predict the target value of secondary flow and secondary heating;
[0045] S4. According to the predicted target value, control the frequency of the circulating pump and adjust the opening of the first network valve to adjust the heat load of the heat exchange station, thereby realizing the dynamic adjustment of the indoor ...
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The invention provides a heat exchange station heat supply adjusting method and system based on artificial intelligence. Firstly, relevant parameters are defined and combined with an intelligent agentto generate operation data in the actual heat supply process, and the operation data are preprocessed; then the processed operation data are subjected to model training through an artificial intelligence algorithm, and a predicting model is obtained; then real-time operation data are collected and combined with the model, and the target values of secondary flow and secondary heat supply are predicted; and finally, the frequency of a circulating pump and the opening degree of a net valve are controlled according to the predicted target values, the heat load of a heat exchange station is adjusted, and then dynamic adjustment of the indoor average temperature is achieved. According to the heat exchange station heat supply adjusting method and system based on artificial intelligence, the artificial intelligence algorithm is applied to heat supply adjustment of the heat exchange station, the predicting model of secondary flow and heat supply is obtained through model training, flow and heat supply needed for reaching the target indoor average temperature are predicted in advance, the heat load of the heat exchange station is adjusted in real time in combination with the operation dataof a heat supply unit, and more scientific and reasonable dynamic adjusting capacity is provided for the heat supply unit.
Description
technical field [0001] The invention relates to the technical fields of heat supply and artificial intelligence, in particular to an artificial intelligence-based heat exchange station heat regulation method and system. 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 heat exchange st...
Claims
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Login to View More IPC IPC(8): F24D19/10G06Q10/04G06Q50/06
CPCF24D19/1009G06Q10/04G06Q50/06
Inventor 李红粉于大永钱律求何红伟刘建辉金城闫道伟王燕李陈
Owner RUINA INTELLIGENT EQUIP CO LTD