{"title":"BuildingDepot 2.0: An Integrated Management System for Building Analysis and Control","authors":"Thomas Weng, A. Nwokafor, Yuvraj Agarwal","doi":"10.1145/2528282.2528285","DOIUrl":null,"url":null,"abstract":"Improving energy efficiency in buildings is a key objective for sensor researchers and promises significant reductions in energy usage across the world. The key technological driver for these gains are the novel sensor network deployments and the large amounts of data that they generate. The challenge however is making sense of this data, and using it effectively to design smarter building control schemes. Several recent research efforts have sought to address the challenge of data access and building control. However, while these systems have made progress in specific areas, many unanswered questions still revolve around data management and what exactly it means to develop building applications. Critically, how would such a solution work in a real building setting and how can applications be written such that they can be re-used in other settings? To resolve these issues we have developed BuildingDepot 2.0, a building management control platform that significantly updates on our first iteration of the system for data analysis and high level supervisory control.","PeriodicalId":184274,"journal":{"name":"Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings","volume":"212 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"51","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2528282.2528285","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 51
Abstract
Improving energy efficiency in buildings is a key objective for sensor researchers and promises significant reductions in energy usage across the world. The key technological driver for these gains are the novel sensor network deployments and the large amounts of data that they generate. The challenge however is making sense of this data, and using it effectively to design smarter building control schemes. Several recent research efforts have sought to address the challenge of data access and building control. However, while these systems have made progress in specific areas, many unanswered questions still revolve around data management and what exactly it means to develop building applications. Critically, how would such a solution work in a real building setting and how can applications be written such that they can be re-used in other settings? To resolve these issues we have developed BuildingDepot 2.0, a building management control platform that significantly updates on our first iteration of the system for data analysis and high level supervisory control.