{"title":"IAQSense: Indoor Air Quality Enhancement using Participatory-sensing","authors":"Abraham Hang-Yat Lam, Dan Wang","doi":"10.1145/2528282.2534153","DOIUrl":null,"url":null,"abstract":"Commercial buildings are the major energy consumers in worldwide. While heating, ventilating and air-conditioning (HVAC) system accounts for 40% of the total energy consumption in a commercial building, the concern of occupants comfort is always prior to energy consumption. However, the operation of building management system (BMS) does not consider occupants' actual perception, and lacks channels for occupants' feedback. Indoor air quality (IAQ) has been vigorous studied in the past decades due to its importance to worker's health and productivity, however, sick building syndrome (SBS) is still commonly found in occupants, where they experience acute health and discomfort after working in buildings for a period of time. Yet, there is currently no conclusive explanation to account for the SBS, thus it is hard to carry out effective measures without tracing the root cause. In this demo, we show our innovative design of IAQSense system. The system aims to enhance the air quality of buildings using participatory sensing approach. By exploiting the sensors data of BMS with occupants feedback, IAQSense helps identify the environmental factors that causing SBS and enhance the air quality of buildings.","PeriodicalId":184274,"journal":{"name":"Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings","volume":"265 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","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/10.1145/2528282.2534153","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Commercial buildings are the major energy consumers in worldwide. While heating, ventilating and air-conditioning (HVAC) system accounts for 40% of the total energy consumption in a commercial building, the concern of occupants comfort is always prior to energy consumption. However, the operation of building management system (BMS) does not consider occupants' actual perception, and lacks channels for occupants' feedback. Indoor air quality (IAQ) has been vigorous studied in the past decades due to its importance to worker's health and productivity, however, sick building syndrome (SBS) is still commonly found in occupants, where they experience acute health and discomfort after working in buildings for a period of time. Yet, there is currently no conclusive explanation to account for the SBS, thus it is hard to carry out effective measures without tracing the root cause. In this demo, we show our innovative design of IAQSense system. The system aims to enhance the air quality of buildings using participatory sensing approach. By exploiting the sensors data of BMS with occupants feedback, IAQSense helps identify the environmental factors that causing SBS and enhance the air quality of buildings.