Lei Shu, Kailiang Li, Junlin Zen, Huilin Sun, Zhiqiang Huo, Zhangbing Zhou
{"title":"利用可穿戴设备构建大型石化厂监测图","authors":"Lei Shu, Kailiang Li, Junlin Zen, Huilin Sun, Zhiqiang Huo, Zhangbing Zhou","doi":"10.1145/2737095.2737727","DOIUrl":null,"url":null,"abstract":"This paper focuses on using wearable equipment to make workers participate in constructing monitoring maps in large-scale petrochemical plants, which collaborates with static sensor nodes in given areas. Furthermore, this study provides a sensing pattern with less cost and higher flexibility, which effectively contribute to collective effort with static sensor nodes. Several open research issues are discussed.","PeriodicalId":318992,"journal":{"name":"Proceedings of the 14th International Conference on Information Processing in Sensor Networks","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Using wearable equipment to construct monitoring maps in large-scale petrochemical plants\",\"authors\":\"Lei Shu, Kailiang Li, Junlin Zen, Huilin Sun, Zhiqiang Huo, Zhangbing Zhou\",\"doi\":\"10.1145/2737095.2737727\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper focuses on using wearable equipment to make workers participate in constructing monitoring maps in large-scale petrochemical plants, which collaborates with static sensor nodes in given areas. Furthermore, this study provides a sensing pattern with less cost and higher flexibility, which effectively contribute to collective effort with static sensor nodes. Several open research issues are discussed.\",\"PeriodicalId\":318992,\"journal\":{\"name\":\"Proceedings of the 14th International Conference on Information Processing in Sensor Networks\",\"volume\":\"79 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-04-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 14th International Conference on Information Processing in Sensor Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2737095.2737727\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 14th International Conference on Information Processing in Sensor Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2737095.2737727","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using wearable equipment to construct monitoring maps in large-scale petrochemical plants
This paper focuses on using wearable equipment to make workers participate in constructing monitoring maps in large-scale petrochemical plants, which collaborates with static sensor nodes in given areas. Furthermore, this study provides a sensing pattern with less cost and higher flexibility, which effectively contribute to collective effort with static sensor nodes. Several open research issues are discussed.