基于统计学的集中供热小区室温监测点布置原则研究
摘要：室温监测设备的数量确定和空间布置缺乏科学依据。本文通过实测数据提出了室温监测点的布置原则。针对集中供热调节所需室温特征值，定义了室温合理率、楼间不均匀性和楼内不均匀性的概念。对热用户室温分布情况进行了统计学分析，提出基于抽样调查原理的室温监测设备最小覆盖率计算方法和基于室温分布特征的室温监测点空间分布原则，为完善智慧供热室温监测系统提供了参考。
关键词：集中供热室温监测点布置原则热力失调室温合理率设备覆盖率室温分布特征
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[4] PUNNIAMOORTHY D,KAMADAL V S,SRUJANA B,et al.Wireless sensor networks for effective environmental tracking system using IoT and sensors[C]//2018 2nd International Conference on I-SMAC,2018:66-69.
[5] MALCHE T,MAHESHWARY P.Internet of things (IoT) for building smart home system[C]//2017 International Conference on I-SMAC,2017:65-70.
[6] NAN L,BECERIK-GERBER B.Exploring the use of wireless sensor networks in building management[EB/OL].[2021-07-01].https://www.researchgate.net/publication/234839824_Exploring_the_Use_of_Wireless_Sensor_Networks_in_Building_Management.
[7] BAMODU O,XIA L,TANG L.An indoor environment monitoring system using low-cost sensor network[J].Energy procedia,2017,141:660-666.
[8] PeI Z,HUANG G,ZHANG L,et al.Wireless sensor network based monitoring system for a large-scale indoor space:data process and supply air allocation optimization[J].Energy and buildings,2015,103:365-374.
[9] HEALY W M,JANG W S.Practical challenges in wireless sensor network use in building applications[EB/OL].[2021-07-01].https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.601.8590&rep=rep1&type=pdf.
[10] 陈朋，刘兰斌，李文涛，等.某小区集中供热系统测试[J].暖通空调，2014,44(8):123-128.
[11] 董磊，王萌，夏建军，等.严寒地区集中供热小区现状测试研究[J].暖通空调，2014,44(2):77-83.
[12] 江亿.我国供热节能中的问题和解决途径[J].暖通空调，2006,36(3):37-41.
[13] 房家声.分户供暖系统对邻户隔墙及楼板的热工要求[J].暖通空调，2002,32(1):29-31.
[14] KARANDINOS M G.Optimum sample size and comments on some published formulae[J].Bulletin of the Esa,1976,22(4):417-421.
[15] 邵志强.抽样调查中样本容量的确定方法[J].统计与决策，2012(22):14-16.
[16] WISZ M S,HIJMANS R J,LI J,et al.Effects of sample size on the performance of species distribution models[J].Diversity and distributions,2010,14(5):763-773.
[17] 袁建文，李科研.关于样本量计算方法的比较研究[J].统计与决策，2013(1):4.
Study on layout principle of room temperature monitoring points in central heating communities based on statistics
Abstract: There is a lack of scientific basis for the quantity determination and spatial layout of room temperature monitoring equipment. Based on the measured room temperature data, this paper puts forward the layout principle of room temperature monitoring points. According to the characteristic value of room temperature for central heating regulation, the concepts of proportion of reasonable-temperature household, inter-building non-uniformity and intra-building non-uniformity are defined. The temperature distribution of heat users is statistically analysed, and the calculation method of minimum coverage rate of room temperature monitoring equipment based on sampling survey and the spatial arrangement principle based on the characteristics of room temperature distribution are proposed, which provides a reference for perfecting the room temperature monitoring system of smart heating.
Keywords: central heating; room temperature monitoring point; layout principle; thermal misadjustment; proportion of reasonable-temperature household; equipment coverage rate; characteristic of room temperature distribution;
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