Heating household room temperature estimation method and system

Abstract

The invention belongs to the field of heating household room temperature estimation and provides a heating household room temperature estimation method and system. The heating household room temperature estimation method comprises the steps that return water temperature and outdoor temperature, corresponding to a current moment, of all heating households are collected in real time; and a heating household room temperature estimation model is utilized to estimate average indoor temperature of all the heating households so as to acquire running parameters of a heat exchange station in a region of the heating households matched with the current average indoor temperature. According to the construction process of the heating household room temperature estimation model, heating temperature datasets {indoor temperature, return water temperature and outdoor temperature} corresponding to all the heating households at all moments in a historical preset time period are acquired; ineffective heating temperature data sets of the heating households in the historical preset time period are eliminated, and effective heating temperature data sets of the heating households are obtained; and an effective heating temperature data average set of the heating households in the historical preset time period is calculated, a linear regression equation is constructed, and correlation coefficients of the linear regression equation are calculated.

Description

technical field [0001] The invention belongs to the field of estimating room temperature of heating households, in particular to a method and system for estimating room temperature of heating households. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] During the heating operation, heating enterprises need household room temperature data to monitor the heating quality of the community and guide the selection of operating parameters of the heat exchange station in the community. Ideally, each household should install a room temperature acquisition device, and transmit the room temperature data to the monitoring center of the heating company in real time, so that the heating company can determine the heating parameters of the community according to the room temperature of each household, such as circulation flow, water supply temperature, etc...

AI Technical Summary

Problems solved by technology

Actively powered equipment needs to be powered at the resident's home, which is complicated to install; battery-powered equipment needs to punch holes in the wall to prevent movement, which affects the appearance

2) Equipment movement and dismantling: Residents of installed equipment may dismantle or move them due to privacy concerns, indoor aesthetics, etc., resulting in data interruption and distortion

3) Equipment failure is difficult to repair: due to the relative complexity of entering the house, once the equipment breaks down, it is difficult to enter the house for repair, and it is easy to arouse the resentment of the residents

[0004] The inventors found that the existing relevant estimation techniques are generally based on the average room temperature or the average return water temperature of the entire community or the entire building to predict, but due to the building structure (including thermal insulation structure, direct sunlight, etc.), residents' usage habits ( Including window openings, etc.), resulting in huge differences in predictions among different households, which are greatly distorted from the actual situation

In addition, some devices have unstable transmission, or are removed by users and stop uploading

These uncontrollable factors have caused great difficulties in fine control based on room temperature

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