{"title":"智能可持续迷你气象站","authors":"Anshika Gupta, Ankita Tripathi, Reuben Coutinho, Rhea Rodrigues, Prachi Raut","doi":"10.1109/R10-HTC53172.2021.9641672","DOIUrl":null,"url":null,"abstract":"Weather monitoring deals with the tracking, analysis, and possible prediction of the weather conditions of a geographical area. Most of the stations do not account for the weather conditions of smaller geographic regions. The smart sustainable mini weather station is specially designed to cover smaller areas in a self-sustainable way. This feature makes it extremely useful in places that have been already affected by natural disasters and have no power supply. The system is developed on the ESP32 platform and senses 6 different weather parameters. The collected data is transferred to an online database and made available through a website and a mobile App. After testing the system in various conditions, it was observed that weather readings per minute can be taken and the system works without an external power supply for approximately 11 hours.","PeriodicalId":117626,"journal":{"name":"2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Smart Sustainable Mini Weather Station\",\"authors\":\"Anshika Gupta, Ankita Tripathi, Reuben Coutinho, Rhea Rodrigues, Prachi Raut\",\"doi\":\"10.1109/R10-HTC53172.2021.9641672\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Weather monitoring deals with the tracking, analysis, and possible prediction of the weather conditions of a geographical area. Most of the stations do not account for the weather conditions of smaller geographic regions. The smart sustainable mini weather station is specially designed to cover smaller areas in a self-sustainable way. This feature makes it extremely useful in places that have been already affected by natural disasters and have no power supply. The system is developed on the ESP32 platform and senses 6 different weather parameters. The collected data is transferred to an online database and made available through a website and a mobile App. After testing the system in various conditions, it was observed that weather readings per minute can be taken and the system works without an external power supply for approximately 11 hours.\",\"PeriodicalId\":117626,\"journal\":{\"name\":\"2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC)\",\"volume\":\"146 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/R10-HTC53172.2021.9641672\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/R10-HTC53172.2021.9641672","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Weather monitoring deals with the tracking, analysis, and possible prediction of the weather conditions of a geographical area. Most of the stations do not account for the weather conditions of smaller geographic regions. The smart sustainable mini weather station is specially designed to cover smaller areas in a self-sustainable way. This feature makes it extremely useful in places that have been already affected by natural disasters and have no power supply. The system is developed on the ESP32 platform and senses 6 different weather parameters. The collected data is transferred to an online database and made available through a website and a mobile App. After testing the system in various conditions, it was observed that weather readings per minute can be taken and the system works without an external power supply for approximately 11 hours.