{"title":"分析传感器数据与红外图像的因果关系，稳定垃圾发电","authors":"K. Matsubayashi, T. Anjiki, Shunji Maeda","doi":"10.1109/ICMLC48188.2019.8949308","DOIUrl":null,"url":null,"abstract":"Garbage power generation is expected to play an important role as a renewable source of stable power. Steam is produced from the heat of combustion, and this is used to generate electrical energy. In order to supply continuous power, the combustion must be controlled so as to create a stable steam flow. In this report, we analyze sensor data from and infrared images of the furnace with the aim of stabilizing the steam flow.","PeriodicalId":221349,"journal":{"name":"2019 International Conference on Machine Learning and Cybernetics (ICMLC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analyzing Causal Relationships of Sensor Data and Infrared Images to Stabilize Garbage Power Generation\",\"authors\":\"K. Matsubayashi, T. Anjiki, Shunji Maeda\",\"doi\":\"10.1109/ICMLC48188.2019.8949308\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Garbage power generation is expected to play an important role as a renewable source of stable power. Steam is produced from the heat of combustion, and this is used to generate electrical energy. In order to supply continuous power, the combustion must be controlled so as to create a stable steam flow. In this report, we analyze sensor data from and infrared images of the furnace with the aim of stabilizing the steam flow.\",\"PeriodicalId\":221349,\"journal\":{\"name\":\"2019 International Conference on Machine Learning and Cybernetics (ICMLC)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Machine Learning and Cybernetics (ICMLC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMLC48188.2019.8949308\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Machine Learning and Cybernetics (ICMLC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC48188.2019.8949308","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analyzing Causal Relationships of Sensor Data and Infrared Images to Stabilize Garbage Power Generation
Garbage power generation is expected to play an important role as a renewable source of stable power. Steam is produced from the heat of combustion, and this is used to generate electrical energy. In order to supply continuous power, the combustion must be controlled so as to create a stable steam flow. In this report, we analyze sensor data from and infrared images of the furnace with the aim of stabilizing the steam flow.
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