{"title":"Measuring Pressure Difference for Ventilation System in Highway Tunnel","authors":"Kensaku Kawauchi, Yumi Watanabe, Y. Mizushima","doi":"10.1109/ICST46873.2019.9047677","DOIUrl":null,"url":null,"abstract":"Ventilation controller in high way mountain tunnel operates air-flow inside tunnel based on condition. For monitoring the condition, environment sensor is installed on the tunnel. In fire accident, to make safety space for people to leave from danger is realized by controlling smoke movement. Although pressure difference is an index of ventilating effectiveness in smoke control, existing sensors cannot measure correctly. Our proposed sensor, called QooPass, measures pressure difference and gradient direction by 25 pressure sensors. For evaluation of potential to measure pressure difference and gradient direction, QooPass was verified in wind tunnel. As a result, our sensor showed similar tendency in all different installing direction. The estimation accuracy was error of 10 degrees. The pressure difference under different wind speeds was able to be detected. Those results were evaluated by observing a change of pressure value. Evaluation showed a potential to measure gradient by our proposed method.","PeriodicalId":344937,"journal":{"name":"2019 13th International Conference on Sensing Technology (ICST)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 13th International Conference on Sensing Technology (ICST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICST46873.2019.9047677","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Ventilation controller in high way mountain tunnel operates air-flow inside tunnel based on condition. For monitoring the condition, environment sensor is installed on the tunnel. In fire accident, to make safety space for people to leave from danger is realized by controlling smoke movement. Although pressure difference is an index of ventilating effectiveness in smoke control, existing sensors cannot measure correctly. Our proposed sensor, called QooPass, measures pressure difference and gradient direction by 25 pressure sensors. For evaluation of potential to measure pressure difference and gradient direction, QooPass was verified in wind tunnel. As a result, our sensor showed similar tendency in all different installing direction. The estimation accuracy was error of 10 degrees. The pressure difference under different wind speeds was able to be detected. Those results were evaluated by observing a change of pressure value. Evaluation showed a potential to measure gradient by our proposed method.