{"title":"用于微气候测量的现场传感器网络","authors":"R. Juran, A. Povalac","doi":"10.1109/ICUMT51630.2020.9222247","DOIUrl":null,"url":null,"abstract":"This paper brings an overview of the designed system for monitoring hydrothermal soil CO2 flux, especially its wireless infrastructure based on a private LoRaWAN network. There are interesting results in terms of LoRaWAN performance in the target location – valley of river Becva in the Hranice karst,ˇ a hydrothermal karst area located in the eastern Czech Republic, home of the famous deepest freshwater abyss in the world – Hranice Abbys. The main obtained key result is the overall performance of LoRaWAN infrastructure in the target area, based on iC880A gateway and nodes with Microchip RN2483, all registered in The Things Network. Measured data were obtained by sending WGS84 format coordinates through the network. Upon reception, the gateway supplemented the data with the parameters of the received signal and stored with the data to Google Spreadsheets. Since the weakest RSSI received within the are is well above -120 dBm, not reaching the -135 dBm limit of the gateway, the results suggest relatively good potential of this technology in this application, even though the environment is quite of diverse character, therefore the obstacles are not uniformly distributed and growing distance does not always imply more obstructing objects in the signal path.","PeriodicalId":170847,"journal":{"name":"2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Field Sensor Network for Microclimatological Measurements\",\"authors\":\"R. Juran, A. Povalac\",\"doi\":\"10.1109/ICUMT51630.2020.9222247\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper brings an overview of the designed system for monitoring hydrothermal soil CO2 flux, especially its wireless infrastructure based on a private LoRaWAN network. There are interesting results in terms of LoRaWAN performance in the target location – valley of river Becva in the Hranice karst,ˇ a hydrothermal karst area located in the eastern Czech Republic, home of the famous deepest freshwater abyss in the world – Hranice Abbys. The main obtained key result is the overall performance of LoRaWAN infrastructure in the target area, based on iC880A gateway and nodes with Microchip RN2483, all registered in The Things Network. Measured data were obtained by sending WGS84 format coordinates through the network. Upon reception, the gateway supplemented the data with the parameters of the received signal and stored with the data to Google Spreadsheets. Since the weakest RSSI received within the are is well above -120 dBm, not reaching the -135 dBm limit of the gateway, the results suggest relatively good potential of this technology in this application, even though the environment is quite of diverse character, therefore the obstacles are not uniformly distributed and growing distance does not always imply more obstructing objects in the signal path.\",\"PeriodicalId\":170847,\"journal\":{\"name\":\"2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICUMT51630.2020.9222247\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICUMT51630.2020.9222247","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
本文介绍了所设计的热液土壤CO2通量监测系统,特别是其基于专用LoRaWAN网络的无线基础设施。LoRaWAN在目标位置(Hranice karst的Becva河山谷)的性能方面有有趣的结果,Hranice Abbys位于捷克共和国东部,是世界上著名的最深的淡水深渊- Hranice Abbys的所在地。主要获得的关键结果是目标区域的LoRaWAN基础设施的整体性能,基于iC880A网关和带有Microchip RN2483的节点,均注册在The Things Network中。测量数据通过网络发送WGS84格式坐标获得。网关接收到信号后,将接收到的信号参数进行数据补充,并与数据一起存储到Google Spreadsheets中。由于该区域内接收到的最弱RSSI远高于-120 dBm,而未达到网关的-135 dBm限制,因此结果表明该技术在该应用中具有相对良好的潜力,即使环境具有相当多样化的特征,因此障碍物并不均匀分布,距离的增加并不总是意味着信号路径中障碍物的增加。
Field Sensor Network for Microclimatological Measurements
This paper brings an overview of the designed system for monitoring hydrothermal soil CO2 flux, especially its wireless infrastructure based on a private LoRaWAN network. There are interesting results in terms of LoRaWAN performance in the target location – valley of river Becva in the Hranice karst,ˇ a hydrothermal karst area located in the eastern Czech Republic, home of the famous deepest freshwater abyss in the world – Hranice Abbys. The main obtained key result is the overall performance of LoRaWAN infrastructure in the target area, based on iC880A gateway and nodes with Microchip RN2483, all registered in The Things Network. Measured data were obtained by sending WGS84 format coordinates through the network. Upon reception, the gateway supplemented the data with the parameters of the received signal and stored with the data to Google Spreadsheets. Since the weakest RSSI received within the are is well above -120 dBm, not reaching the -135 dBm limit of the gateway, the results suggest relatively good potential of this technology in this application, even though the environment is quite of diverse character, therefore the obstacles are not uniformly distributed and growing distance does not always imply more obstructing objects in the signal path.