Fundamental Study on Early Detection of Underground Mine Fire Using Smell Detectors. Characteristics of the smell generated from the heated combustible materials.
{"title":"Fundamental Study on Early Detection of Underground Mine Fire Using Smell Detectors. Characteristics of the smell generated from the heated combustible materials.","authors":"K. Ohga, Kiyoshi Higuchi, K. Mukai","doi":"10.2473/SHIGENTOSOZAI.113.683","DOIUrl":null,"url":null,"abstract":"coal mines, by using smell detectors in our laboratory. From the results of measurements, it is clear that there are significant differences between measured data from each different type of smell sensor for coal, rubber of belt conveyer, oil and wood.In order to discern the source of combustion gases, we developed and tested a distinction system using a neural network system. From the results of the tests, the neural network system enables the identification of the source of gases, whether it would be coal, wood, oil and rubber of belt conveyer.","PeriodicalId":22754,"journal":{"name":"The Mining and Materials Processing Institute of Japan","volume":"128 1","pages":"683-687"},"PeriodicalIF":0.0000,"publicationDate":"1997-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Mining and Materials Processing Institute of Japan","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2473/SHIGENTOSOZAI.113.683","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
coal mines, by using smell detectors in our laboratory. From the results of measurements, it is clear that there are significant differences between measured data from each different type of smell sensor for coal, rubber of belt conveyer, oil and wood.In order to discern the source of combustion gases, we developed and tested a distinction system using a neural network system. From the results of the tests, the neural network system enables the identification of the source of gases, whether it would be coal, wood, oil and rubber of belt conveyer.