Heating household valve adjusting method, system and equipment based on GBDT

A valve adjustment and user-friendly technology, applied in the heating field, can solve the problems of manual setting, incapability of dynamic adjustment, and inability to consider the impact, etc., to achieve the effect of avoiding heat energy waste and improving heating utilization

Active Publication Date: 2020-08-21
RUINA INTELLIGENT EQUIP CO LTD
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Problems solved by technology

[0005] In the more advanced existing technology, the opening of the heating household valve is mainly adjusted by the PID control algorithm, and it is necessary to set the tracking flow value for the PID control algorithm; but the tracking flow value can only be manua

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  • Heating household valve adjusting method, system and equipment based on GBDT
  • Heating household valve adjusting method, system and equipment based on GBDT
  • Heating household valve adjusting method, system and equipment based on GBDT

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[0027] A preferred embodiment of the present invention will be described in detail below with reference to the accompanying drawings.

[0028] GBDT, Gradient Boosting Decision Tree, is also known as gradient boosting iterative decision tree; it completes learning tasks by constructing and combining multiple weak learners, with high prediction accuracy, suitable for low-dimensional data and nonlinear data, and for continuous values ​​and Discrete values ​​have good adaptability. It takes less time to adjust parameters and has high prediction accuracy. Compared with the current similar algorithms based on deep learning, it has the advantages of less hardware resources, fast training speed, and similar prediction results. It is more suitable for deployment on low-cost hardware devices.

[0029] The number of hardware in the heating field is huge, but the hardware configuration is relatively low, so GBDT is suitable as a prediction model in the heating field.

[0030] GBDT obtain...

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Abstract

The invention discloses a heating household valve adjusting method and system based on GBDT. The method comprises the following steps of 1, obtaining historical heating data and historical meteorological data, carrying out the data integration of the above data with the time as the benchmark, forming synthetic data, and building a GBDT model through the synthetic data; 2, adjusting model parameters of the GBDT model to obtain an optimal prediction model; 3, processing the meteorological data of the to-be-predicted day and the heating data except the heat supply flow, inputting the processed data into the optimal prediction model, and obtaining the predicted heat supply flow of the to-be-predicted day; and 4, serving the predicted heat supply flow as a set value of a PID control algorithm,and controlling the opening degree needed by a heat supply household valve. According to the method, through the combination of GBDT and PID algorithms, the heat supply amount of a user is accuratelycontrolled.

Description

technical field [0001] The invention relates to the heating field, in particular to a GBDT-based heating household valve adjustment method, system and equipment. Background technique [0002] With the development of the national economy and the advancement of urbanization, the construction area of ​​cities and towns in northern my country continues to increase, and the area of ​​central heating also increases rapidly. [0003] Most of the heating systems in my country still adopt the backward and extensive control method, that is, the water supply temperature of the heat exchange station is determined only based on the outdoor temperature or based on experience, and the feedback adjustment is performed according to the return water temperature or not at all. [0004] Most of the heating household valves in the prior art do not have the flow regulating function. [0005] In the more advanced existing technology, the opening of the heating household valve is mainly adjusted b...

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Application Information

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IPC IPC(8): F24D19/10G06N5/00
CPCF24D19/1015G06N5/01
Inventor 闫道伟钱律求刘建辉金城王燕秦天明刘文庆李陈
Owner RUINA INTELLIGENT EQUIP CO LTD
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