{"title":"Research on Data Collection and Observability of Gas Station in Cloud Environment","authors":"Xuyi Chen, Xiaoning Jiang","doi":"10.1109/ISCEIC53685.2021.00020","DOIUrl":null,"url":null,"abstract":"With the rapid development of the energy industry, the scale of gas stations continues to expand, and gas station equipment has become sophisticated and complex. Once the gas station equipment fails, it will affect the service of the gas station and even cause serious safety accidents. Aiming at the complex and dangerous environment of gas stations, a gas station IoT data collection method based on MQTT is proposed. Gas station equipment is connected to the cloud through the IoT technology, the system collects and analyzes data, visualizes the analysis results, and finally saves the data in the database. Through this data collection method, coupled with the improvement of gas station data observability, gas station fault detection and maintenance will be more efficient.","PeriodicalId":342968,"journal":{"name":"2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCEIC53685.2021.00020","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
With the rapid development of the energy industry, the scale of gas stations continues to expand, and gas station equipment has become sophisticated and complex. Once the gas station equipment fails, it will affect the service of the gas station and even cause serious safety accidents. Aiming at the complex and dangerous environment of gas stations, a gas station IoT data collection method based on MQTT is proposed. Gas station equipment is connected to the cloud through the IoT technology, the system collects and analyzes data, visualizes the analysis results, and finally saves the data in the database. Through this data collection method, coupled with the improvement of gas station data observability, gas station fault detection and maintenance will be more efficient.