Banibrata Ghosh, Antara Ghosh, D. Dey, S. Dalai, B. Chatterjee
{"title":"一种局部雷电探测预报系统方案","authors":"Banibrata Ghosh, Antara Ghosh, D. Dey, S. Dalai, B. Chatterjee","doi":"10.1109/ASPCON49795.2020.9276699","DOIUrl":null,"url":null,"abstract":"This paper represents the scheme for the detection and prediction system of local lightning. Different types of environmental parameters have impact on lightning strikes. These parameters values are very volatile and location specific. Some of the dominant parameters, like electric field gradient, electric field strength and atmospheric pressure etc. have been considered to predict lightning strikes. For initial detection, AS3935 IC has been implemented with some modification which detects lightning strokes within some specific range. A Fuzzy inference system has been developed so that the prediction can be done using the dominant parameter values without having large prior dataset of lightning strikes of any specified location.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Scheme For Local Lightning Detection And Prediction System\",\"authors\":\"Banibrata Ghosh, Antara Ghosh, D. Dey, S. Dalai, B. Chatterjee\",\"doi\":\"10.1109/ASPCON49795.2020.9276699\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper represents the scheme for the detection and prediction system of local lightning. Different types of environmental parameters have impact on lightning strikes. These parameters values are very volatile and location specific. Some of the dominant parameters, like electric field gradient, electric field strength and atmospheric pressure etc. have been considered to predict lightning strikes. For initial detection, AS3935 IC has been implemented with some modification which detects lightning strokes within some specific range. A Fuzzy inference system has been developed so that the prediction can be done using the dominant parameter values without having large prior dataset of lightning strikes of any specified location.\",\"PeriodicalId\":193814,\"journal\":{\"name\":\"2020 IEEE Applied Signal Processing Conference (ASPCON)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE Applied Signal Processing Conference (ASPCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASPCON49795.2020.9276699\",\"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 IEEE Applied Signal Processing Conference (ASPCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASPCON49795.2020.9276699","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Scheme For Local Lightning Detection And Prediction System
This paper represents the scheme for the detection and prediction system of local lightning. Different types of environmental parameters have impact on lightning strikes. These parameters values are very volatile and location specific. Some of the dominant parameters, like electric field gradient, electric field strength and atmospheric pressure etc. have been considered to predict lightning strikes. For initial detection, AS3935 IC has been implemented with some modification which detects lightning strokes within some specific range. A Fuzzy inference system has been developed so that the prediction can be done using the dominant parameter values without having large prior dataset of lightning strikes of any specified location.