智能建筑能耗收集设计

T. Tantidham, S. Ngamsuriyaros, N. Tungamnuayrith, T. Nildam, K. Banthao, P. Intakot
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引用次数: 6

摘要

随着成本和能源消耗的增加,许多组织将找到一种监测和节约能源的方法。我们的工作是设计和实施一个监测系统,收集能源使用数据,并用这些数据分析能源消耗模式。我们测量建筑物中交流插座、灯光和空调的电量。我们的工作包括三个部分:电力数据采集、数据处理和数据报告。功率数据采集由基于ESP8266 Wi-Fi平台的功率表和pzm - 004t组成,将连接到3种类型的设备:交流插座,空调和灯。数据处理部分在Elasticsearch服务器上执行,通过MQTT协议收集来自多个电表的测量功率数据。数据报告部分使用Grafana通过web界面显示使用统计数据。通常,一个房间会有一些灯和插座,和一个或两个空调。我们还每15分钟收集一次测量数据。因此,收集到的数据会在短时间内变得非常庞大。在未来,我们需要对建筑的能耗进行模式分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy Consumption Collection Design for Smart Building
With increasing cost and energy consumption, many organizations would find a way for monitoring and to save energy. Our work would design and implement a monitoring system to collect energy usage data and use such data to analyze energy consumption patterns. We measure the amount of electricity of AC outlets, lights and air conditions in a building. Our work consists of 3 parts: Power Data Collection, Data Processing and Data Report. Power Data Collection is composed of power meters built on an ESP8266 Wi-Fi platform and PZEM-004T which will be attached to 3 types of devices: AC outlet, air condition and light. The Data Processing part is performed at the Elasticsearch server by gathering the measured power data from multiple power meters via MQTT protocol. The Data Report part uses Grafana to show usage statistics via a web interface. Usually, one room will have number of lights and outlets, and one or two air conditions. We also collect the measured data every 15 minutes. Thus, collected data will become very huge in a short period of time. In the future, we need to do pattern analysis of energy consumption of a building.
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