Intelligent heat supply room temperature regulation and control system based on machine learning algorithm

Abstract

The invention provides an intelligent heat supply room temperature regulation and control system based on a machine learning algorithm and relates to the related field of heat supply room temperature regulation and control. According to the intelligent heat supply room temperature regulation and control system based on the machine learning algorithm, the heat supply types of the terminal users are divided into five types according to coefficients at least including building energy consumption characteristics and building maintenance structures, furthermore, enterprise customer service charging data are hooked, and the heat supply user types are dynamically refreshed in real time; the regulation and control data are input into trained user room temperature regulation and control prediction models established in a classified mode, the predicted average water supply and return temperature of the user room temperature at the preset moment and the predicted load heat of the user side are obtained, and regulation and control of the user room temperature are achieved in combination with station control circulating pump regulation, building unit valve control and user side regulating valve control; and the user room temperature regulation and control prediction models are established in a classified manner by utilizing a lifting tree machine learning algorithm, and precise regulation and control of the user room temperature are realized in combination with the station control circulating pump regulation or the building unit valve and user side regulating valve control.

Description

technical field [0001] The invention provides an intelligent heating room temperature control system based on a machine learning algorithm, and relates to the related field of heating room temperature control. Background technique [0002] The heating end-user control system is a complex system with time-delay, nonlinearity, strong coupling and other characteristics. The traditional heating end-user control method cannot realize the precise control of the heating user's indoor temperature. At present, heating enterprises The control coverage of the heating terminal is relatively small, the control strategy and control method are not perfect and mature, and the function is relatively single. It mainly relies on the experience of experts to control the opening of the valve opening on the side of the building unit and the frequency of the circulating pump at the heat exchange station to realize the conceptual building hydraulic system. Balance and simple and rough control of th...

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Problems solved by technology

[0002]The heating end-user control system is a complex system with time-delay, nonlinearity, strong coupling and other characteristics. The traditional heating end-user regulation method cannot Realize the precise control of the indoor temperature of heating users. At present, the coverage of heating terminal regulation by heating companies is relatively small, and the control strategy and control method are not perfect and mature, and the functions are relatively single. It mainly relies on expert experience to control the valve opening of building units The temperature and the frequency of the circulation pump at the heat exchange station are used to realize the conceptual building hydraulic balance and the simple and rough control of the indoor temperature of the end user. There is no effective data support for the analysis and control of the indoor temperature of the user side, and it is impossible to realize the thermal comfort of the end user. Rational regulation of temperature and continuous improvement of user satisfaction with heat

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