通用工业无线传感器网络与试验台的设计与部署经验

J. Schlichter, Lars C. Wolf
{"title":"通用工业无线传感器网络与试验台的设计与部署经验","authors":"J. Schlichter, Lars C. Wolf","doi":"10.1109/DCOSS54816.2022.00043","DOIUrl":null,"url":null,"abstract":"In industry 4.0 many industrial processes are enhanced by using the information continuously collected through connected sensors. While many use cases have been discussed and simulated, the transfer into real-world deployments and the discussion of associated challenges have been rather sparse.In this field report, we present our experiences on developing and deploying a versatile Wireless Sensor Network (WSN) for the monitoring of temperature, particle concentration, CO2 concentration and other important environmental data. The WSN is accompanied by its backend and testbed infrastructure, which allows the continuous management and monitoring of the deployments. We describe the challenges faced and experiences gained during the deployment of 70 nodes at five different industrial scenarios and recap the lessons we learned.","PeriodicalId":300416,"journal":{"name":"2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Design and Deployment Experiences of a Versatile Industrial WSN and Testbed\",\"authors\":\"J. Schlichter, Lars C. Wolf\",\"doi\":\"10.1109/DCOSS54816.2022.00043\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In industry 4.0 many industrial processes are enhanced by using the information continuously collected through connected sensors. While many use cases have been discussed and simulated, the transfer into real-world deployments and the discussion of associated challenges have been rather sparse.In this field report, we present our experiences on developing and deploying a versatile Wireless Sensor Network (WSN) for the monitoring of temperature, particle concentration, CO2 concentration and other important environmental data. The WSN is accompanied by its backend and testbed infrastructure, which allows the continuous management and monitoring of the deployments. We describe the challenges faced and experiences gained during the deployment of 70 nodes at five different industrial scenarios and recap the lessons we learned.\",\"PeriodicalId\":300416,\"journal\":{\"name\":\"2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DCOSS54816.2022.00043\",\"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 18th International Conference on Distributed Computing in Sensor Systems (DCOSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCOSS54816.2022.00043","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

在工业4.0中,通过使用通过连接的传感器不断收集的信息,许多工业过程都得到了增强。虽然已经讨论和模拟了许多用例,但将其转移到实际部署以及对相关挑战的讨论却相当少。在这份现场报告中,我们介绍了我们在开发和部署用于监测温度、颗粒浓度、二氧化碳浓度和其他重要环境数据的多功能无线传感器网络(WSN)方面的经验。WSN伴随着它的后端和测试平台基础设施,允许对部署进行持续的管理和监控。我们描述了在五个不同的工业场景中部署70个节点所面临的挑战和获得的经验,并总结了我们学到的经验教训。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Deployment Experiences of a Versatile Industrial WSN and Testbed
In industry 4.0 many industrial processes are enhanced by using the information continuously collected through connected sensors. While many use cases have been discussed and simulated, the transfer into real-world deployments and the discussion of associated challenges have been rather sparse.In this field report, we present our experiences on developing and deploying a versatile Wireless Sensor Network (WSN) for the monitoring of temperature, particle concentration, CO2 concentration and other important environmental data. The WSN is accompanied by its backend and testbed infrastructure, which allows the continuous management and monitoring of the deployments. We describe the challenges faced and experiences gained during the deployment of 70 nodes at five different industrial scenarios and recap the lessons we learned.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信