基于红外遥感的供热系统测温方法优化及适用性分析

doi:10.3969/j.issn.2097-0706.2023.04.009

综合智慧能源 ›› 2023, Vol. 45 ›› Issue (4): 59-68.doi: 10.3969/j.issn.2097-0706.2023.04.009

基于红外遥感的供热系统测温方法优化及适用性分析

高连瑞¹(), 丛铭阳²^,³, 王源¹, 徐海东¹, 谢洪涛¹, 王德人²^,³, 周志刚²^,³^,^*()

1.黑龙江龙唐电力投资有限公司，哈尔滨 150028
2.哈尔滨工业大学建筑学院，哈尔滨 150006
3.寒地城乡人居环境科学与技术工业和信息化部重点实验室（哈尔滨工业大学），哈尔滨 150006

收稿日期:2023-01-15 修回日期:2023-03-25 接受日期:2023-04-25 出版日期:2023-04-25
通讯作者: *周志刚（1978），男，教授，博士生导师，系副主任，博士，从事低碳智慧供热、多能互补供能系统数字化平台研发等方面的研究，hit_zzg@163.com。
作者简介:高连瑞（1974），男，高级工程师，从事供热生产安全管理、供热经济运行、智慧供热建设等方面的工作， 644046584@qq.com。
基金资助:
国家自然科学基金项目(62276080)

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

GAO Lianrui¹(), CONG Mingyang²^,³, WANG Yuan¹, XU Haidong¹, XIE Hongtao¹, WANG Deren²^,³, ZHOU Zhigang²^,³^,^*()

1. Heilongjiang Longtang Power Investment Company Limited， Harbin 150028， China
2. School of Architecture, Harbin Institute of Technology, Harbin 150006, China
3. Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology（Harbin Institute of Technology）, Ministry of Industry and Information Technology, Harbin 150006, China

Received:2023-01-15 Revised:2023-03-25 Accepted:2023-04-25 Published:2023-04-25
Supported by:
National Natural Science Foundation of China(62276080)

摘要/Abstract

摘要：

用户侧室温采集是智慧能源系统实现按需供热和效果评估的重要手段和关键测量参数，但现有方法面临成本问题和局部测点安装位置选择导致的准确度问题。基于红外遥感的测温方法与实际场景相结合，探究结合红外遥感与传感器测温的综合室温测量方法，分析测温位置、气象、用户开窗行为和基准房间数量对测温效果的影响，以及该方法的优化效果并讨论其工程应用性。结论显示，当基准房间数量增加至2个后收益最高，可明显降低天气、开窗等外界干扰的影响，提高方法的鲁棒性，同时不受边际递减效益的影响，误差约在±1.5 ℃的范围内。对于基准传感器的布置优化问题，经过对比发现，边-顶组合可作为一个较好的参考位置，该方法与常规方法相比能明显降低覆盖率指标中的传感器安装要求，为未来的工程适用性提供参考。

关键词: 红外遥感, 误差分析, 数据采集, 智慧能源, 适用性分析, 供热

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

中图分类号:

TU832：TU119.22：TK01

高连瑞, 丛铭阳, 王源, 徐海东, 谢洪涛, 王德人, 周志刚. 基于红外遥感的供热系统测温方法优化及适用性分析[J]. 综合智慧能源, 2023, 45(4): 59-68.

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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基于红外遥感的供热系统测温方法优化及适用性分析

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

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