{"title":"Building Advanced Metering Infrastructure using Elasticsearch Database and IEC 62056-21 Protocol","authors":"Marcin Bajer","doi":"10.1109/FiCloud.2019.00047","DOIUrl":null,"url":null,"abstract":"Building automation systems have been already around for many years. Unfortunately, the still high cost of smart building installation is difficult to justify for many noncommercial applications such as residential buildings and houses. The ongoing IoT revolution and popularization of low-cost ubiquitous networking changes drastically the situation. Nowadays, using off-the-shelf hardware and cloud based computing, it is easier to provide to the end user the intelligent solution which can be easily deployed and do not require significant building refurbishment. Even partial implementation of smart building concept will result in increase of energy efficiency as well as comfort of building occupants. In this paper, the solution for controlling and monitoring energy consumption in medium size rent building (12 flats) is presented. The idea of the project was to use ready-made, commercially available hardware and extend its functionalities with custom software. In addition, the Elasticsearch database was used to store energy usage data.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FiCloud.2019.00047","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Building automation systems have been already around for many years. Unfortunately, the still high cost of smart building installation is difficult to justify for many noncommercial applications such as residential buildings and houses. The ongoing IoT revolution and popularization of low-cost ubiquitous networking changes drastically the situation. Nowadays, using off-the-shelf hardware and cloud based computing, it is easier to provide to the end user the intelligent solution which can be easily deployed and do not require significant building refurbishment. Even partial implementation of smart building concept will result in increase of energy efficiency as well as comfort of building occupants. In this paper, the solution for controlling and monitoring energy consumption in medium size rent building (12 flats) is presented. The idea of the project was to use ready-made, commercially available hardware and extend its functionalities with custom software. In addition, the Elasticsearch database was used to store energy usage data.