{"title":"Concept of Energy Efficient ESP32 Chip for Industrial Wireless Sensor Network","authors":"E. Gatial, Z. Balogh, L. Hluchý","doi":"10.1109/INES49302.2020.9147189","DOIUrl":null,"url":null,"abstract":"This paper proposes a concept of low-cost industrial wireless sensor network integrating the power consumption efficient ESP32 chip. The main focus is given on best practices of various sensors integration into Real-Time Operating System (RTOS) of ESP32 devices. The work proposes an architecture for data collection, security and possibility of data analysis. Energy effectiveness is estimated for battery usage in different modes of the chip. The last part of this work presents the conclusions and guidelines for future work. Road map of a distributed modeling framework for plant-wide process monitoring is also introduced.","PeriodicalId":175830,"journal":{"name":"2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES)","volume":"164 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INES49302.2020.9147189","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
This paper proposes a concept of low-cost industrial wireless sensor network integrating the power consumption efficient ESP32 chip. The main focus is given on best practices of various sensors integration into Real-Time Operating System (RTOS) of ESP32 devices. The work proposes an architecture for data collection, security and possibility of data analysis. Energy effectiveness is estimated for battery usage in different modes of the chip. The last part of this work presents the conclusions and guidelines for future work. Road map of a distributed modeling framework for plant-wide process monitoring is also introduced.