{"title":"Analyze the Research of Internet of Information Collection Technology Based on Converged Communication","authors":"Jixing Yang, N. Zhao, Yudong Fang","doi":"10.1109/ICEIEC49280.2020.9152312","DOIUrl":null,"url":null,"abstract":"With the in-depth adjustment of our country’s economic structure and the rapid development of various industries, the situation of production safety is severe and complex. There are many types of hidden dangers, the supervision departments have greater risk prevention tasks and higher requirements. The traditional safety supervision method is far from meeting the needs of the current situation. especially in the face of normal conditions for epidemic prevention and control. As an advanced information technology, the Internet of Things (IOT)which support various types of sensor data in front of high-risk industries such as hazardous chemicals, coal mines, non-coal mines (including tailings ponds), fireworks and firecrackers, uses data collection, intelligent analysis, and safe isolation modules to realize the dynamic transmission of real-time monitoring data in batches. It provides reliable and true data support for monitoring and early warning applications, and helps regulatory authorities innovate online supervision and implement the responsibility of corporate safety production.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEIEC49280.2020.9152312","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 in-depth adjustment of our country’s economic structure and the rapid development of various industries, the situation of production safety is severe and complex. There are many types of hidden dangers, the supervision departments have greater risk prevention tasks and higher requirements. The traditional safety supervision method is far from meeting the needs of the current situation. especially in the face of normal conditions for epidemic prevention and control. As an advanced information technology, the Internet of Things (IOT)which support various types of sensor data in front of high-risk industries such as hazardous chemicals, coal mines, non-coal mines (including tailings ponds), fireworks and firecrackers, uses data collection, intelligent analysis, and safe isolation modules to realize the dynamic transmission of real-time monitoring data in batches. It provides reliable and true data support for monitoring and early warning applications, and helps regulatory authorities innovate online supervision and implement the responsibility of corporate safety production.