Water Loss Diagnosis of Heating Network Based on Thermal Inverse Problem

Abstract

The fact that residential customers steal heating hot water can result in serious loss of heating pipe network and bring serious security risks to the heating pipe network as well as boilers, which leads to relatively high heating cost. In this study, we put forward the method of using the infrared thermal image of building exterior wall to analyze the interior room temperature and finally determine the malicious water users. Divide the building by vertical unit then the problem is simplified to two-dimensional steady-state heat transfer modeling. According to the outside-wall temperature, the convection heat transfer coefficient and the actual temperature in the room are chosen as the inversion goal, and the actual temperature of each room in the whole building is calculated. Then combined with the input heat of the heat transfer station, the abnormal heat room can be determined. Lastly, considering the relationship between the indoor temperature changes of neighbors can accurately identify malicious water loss.