{"title":"Reliable Visibility Algorithms for Emergency Stop Systems in Smart Industries","authors":"Gabriele Capannini, Jane F. Carlson, R. Mellander","doi":"10.1109/COMPSAC54236.2022.00021","DOIUrl":null,"url":null,"abstract":"Automated machinery and robots working with humans are the norm in modern smart industries. A previous work in this area proposed a tool for improving the safety of such work places: an emergency system which halts those machines that are visible from an emergency stop button when it is pressed [1]. The solution presented in this paper improves the reliability of the aforementioned one at the expense of a higher computational complexity. Furthermore, two algorithmic optimizations are presented to mitigate the extra computational cost as it is shown by the results collected from the set of experiments conducted.","PeriodicalId":330838,"journal":{"name":"2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMPSAC54236.2022.00021","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
Automated machinery and robots working with humans are the norm in modern smart industries. A previous work in this area proposed a tool for improving the safety of such work places: an emergency system which halts those machines that are visible from an emergency stop button when it is pressed [1]. The solution presented in this paper improves the reliability of the aforementioned one at the expense of a higher computational complexity. Furthermore, two algorithmic optimizations are presented to mitigate the extra computational cost as it is shown by the results collected from the set of experiments conducted.