Optimization and applicability analysis on temperature measurement method for the heating system based on infrared remote sensing

doi:10.3969/j.issn.2097-0706.2023.04.009

Abstract

Abstract:

User-side room temperature acquisition is an essential tool for integrated intelligent energy systems' on-demand heat supply， and room temperature is the key performance evaluation parameter for the system. However， current acquisition approaches are of excessive cost and high uncertainty caused by sensor locations. Combining the infrared remote sensing-based temperature measurement method with the actual scenarios， the impacts of sensor locations， weather conditions， users' open window behaviors and the number of baseline rooms on the temperature measurement were analyzed. Then， the optimization and applicability of the proposed method were discussed. The analysis results show that when the number of baseline rooms goes up to two， the impacts of external interferences， such as weather conditions and window opening behaviors， can be reduced significantly，and the robustness of the system can be improved. Unaffected by diminishing marginal benefits， the approach can keep the measurement error within ±1.5 ℃. As for the installation position of sensors， the edge-top combination is taken as the better choice. Compared with the conventional method， the proposed method can significantly reduce the requirements on the coverage rate of sensors， and can provide a reference for the engineering cases in the future.

Key words: infrared remote sensing, error analysis, data acquisition, intelligent energy, applicability analysis, heating

CLC Number:

TU832：TU119.22：TK01

GAO Lianrui, CONG Mingyang, WANG Yuan, XU Haidong, XIE Hongtao, WANG Deren, ZHOU Zhigang. Optimization and applicability analysis on temperature measurement method for the heating system based on infrared remote sensing[J]. Integrated Intelligent Energy, 2023, 45(4): 59-68.

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