降低建筑能耗的物联网解决方案:第3部分建立数学模型及实验结果

A. Avotiņš, Armands Senfelds, A. Ņikitenko, Andrejs Podgornovs, Kristaps Zadeiks, M. Dzenis
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引用次数: 4

摘要

物联网解决方案能够收集更详细的消耗和传感器数据,并且论文处理实际测量,其中作为测量对象,选择了具有楼宇管理系统,照明,HVAC系统的大学教学大楼,并且在消耗方面也可与工业建筑相媲美。对于数据分析,使用LoRaWAN网络和传感器同时获得几个月的实际测量参数,如电力消耗,室温,湿度,二氧化碳水平,热能,通风系统压力以及气象气象站的数据,从而提供广泛的数据分析选项,以交叉检查复杂的系统。采用6R1C方法建立了建筑物的简化数学模型。本文还介绍了利用6R1C模型对实际测量数据与理论计算值进行比较的实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IoT Solution Approach for Energy Consumption Reduction in Buildings : Part 3. Mathematical Model of Building and Experimental Results
IoT solutions enable to gather more detailed consumption and sensor data, and paper deals with real measurements, where as a measurement object a university faculty building is selected, that has Building Management system, lighting, HVAC systems, and in consumption it is comparable also to industrial building. For data analysis, real measurement parameters like electrical power consumption, room temperatures, humidity, CO2 levels, heat energy, ventilation system pressures and also data from meteorological weather station are obtained simultaneously for several months, using LoRaWAN network and sensors, thus giving ability to have wide data analysis options, to crosscheck complex systems. Also buildings simplified mathematical model is created using 6R1C approach. Paper also describes experiments carried out to compare real measurement data with theoretically calculated values using the 6R1C model.
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