Laihua Fang, Xunxian Shi, Sixin Song, Xiaojie Wang
{"title":"基于工业物联网的工业企业安全平台研究","authors":"Laihua Fang, Xunxian Shi, Sixin Song, Xiaojie Wang","doi":"10.1109/PHM2022-London52454.2022.00079","DOIUrl":null,"url":null,"abstract":"Production safety is an important guarantee for the high-quality development of industrial enterprises. Factors affecting the safety of industrial enterprises are increasing, and various potential hazards are intertwined and superimposed, resulting in frequent occurrence of accidents. In order to eliminate potential hazards timely, reduce risk of accidents, a safety management and control system based on Industrial Internet of Things (IIoT) for industrial enterprises is constructed, making full use of the advantages of IIoT in rapid perception, real-time monitoring, advanced early warning, dynamic optimization, intelligent decision-making and linkage disposal. The reference architecture of IIoT and application structure of IIoT-based safety platform are given. The core technologies and applications required for the safety management and control system of industrial enterprises based on IIoT are proposed. The main functions of the IIoT-based safety platform and its realization method are studied and designed in detail. Meanwhile, aiming at network information security, the network security structure of the IIoT-based safety platform is proposed. The test application of the system shows that it enhances the safety perception, monitoring, early warning, disposal and evaluation capabilities of industrial enterprises, improves intelligence of safety management and control, and reduces risk of accidents.","PeriodicalId":269605,"journal":{"name":"2022 Prognostics and Health Management Conference (PHM-2022 London)","volume":"272 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study on IIoT-based Safety Platform of Industrial Enterprises\",\"authors\":\"Laihua Fang, Xunxian Shi, Sixin Song, Xiaojie Wang\",\"doi\":\"10.1109/PHM2022-London52454.2022.00079\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Production safety is an important guarantee for the high-quality development of industrial enterprises. Factors affecting the safety of industrial enterprises are increasing, and various potential hazards are intertwined and superimposed, resulting in frequent occurrence of accidents. In order to eliminate potential hazards timely, reduce risk of accidents, a safety management and control system based on Industrial Internet of Things (IIoT) for industrial enterprises is constructed, making full use of the advantages of IIoT in rapid perception, real-time monitoring, advanced early warning, dynamic optimization, intelligent decision-making and linkage disposal. The reference architecture of IIoT and application structure of IIoT-based safety platform are given. The core technologies and applications required for the safety management and control system of industrial enterprises based on IIoT are proposed. The main functions of the IIoT-based safety platform and its realization method are studied and designed in detail. Meanwhile, aiming at network information security, the network security structure of the IIoT-based safety platform is proposed. The test application of the system shows that it enhances the safety perception, monitoring, early warning, disposal and evaluation capabilities of industrial enterprises, improves intelligence of safety management and control, and reduces risk of accidents.\",\"PeriodicalId\":269605,\"journal\":{\"name\":\"2022 Prognostics and Health Management Conference (PHM-2022 London)\",\"volume\":\"272 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 Prognostics and Health Management Conference (PHM-2022 London)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PHM2022-London52454.2022.00079\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Prognostics and Health Management Conference (PHM-2022 London)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PHM2022-London52454.2022.00079","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study on IIoT-based Safety Platform of Industrial Enterprises
Production safety is an important guarantee for the high-quality development of industrial enterprises. Factors affecting the safety of industrial enterprises are increasing, and various potential hazards are intertwined and superimposed, resulting in frequent occurrence of accidents. In order to eliminate potential hazards timely, reduce risk of accidents, a safety management and control system based on Industrial Internet of Things (IIoT) for industrial enterprises is constructed, making full use of the advantages of IIoT in rapid perception, real-time monitoring, advanced early warning, dynamic optimization, intelligent decision-making and linkage disposal. The reference architecture of IIoT and application structure of IIoT-based safety platform are given. The core technologies and applications required for the safety management and control system of industrial enterprises based on IIoT are proposed. The main functions of the IIoT-based safety platform and its realization method are studied and designed in detail. Meanwhile, aiming at network information security, the network security structure of the IIoT-based safety platform is proposed. The test application of the system shows that it enhances the safety perception, monitoring, early warning, disposal and evaluation capabilities of industrial enterprises, improves intelligence of safety management and control, and reduces risk of accidents.