{"title":"城市生活垃圾焚烧过程燃烧线量化数据集的构建","authors":"Haitao Guo, Jian Tang, Xia Heng, J. Qiao","doi":"10.1109/IAI55780.2022.9976688","DOIUrl":null,"url":null,"abstract":"In municipal solid waste incineration (MSWI) process, combustion line is one of the key controlled variables to characterize the combustion stability and operation safety. Realizing the quantification of combustion line can replace “manual fire monitoring”, which can improve the intelligent degree of MSWI process through real-time feedback. However, the quantification of combustion line needs the combustion flame image data set. Currently, there is no standard flame image data set containing multiple combustion line locations. This paper constructs a flame image set containing multiple combustion line locations. First, the flame image acquisition process is introduced. Then, the combustion line level is divided by combining with the location information of three-dimensional space inside the furnace. Finally, a calibration algorithm facing the position of the combustion line is proposed. Thus, combustion flame image dataset was constructed, which provided a reference for relevant researchers to utilize this dataset in the future study.","PeriodicalId":138951,"journal":{"name":"2022 4th International Conference on Industrial Artificial Intelligence (IAI)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Construction of Combustion Line Quantification Data Set for Municipal Solid Waste Incineration Process\",\"authors\":\"Haitao Guo, Jian Tang, Xia Heng, J. Qiao\",\"doi\":\"10.1109/IAI55780.2022.9976688\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In municipal solid waste incineration (MSWI) process, combustion line is one of the key controlled variables to characterize the combustion stability and operation safety. Realizing the quantification of combustion line can replace “manual fire monitoring”, which can improve the intelligent degree of MSWI process through real-time feedback. However, the quantification of combustion line needs the combustion flame image data set. Currently, there is no standard flame image data set containing multiple combustion line locations. This paper constructs a flame image set containing multiple combustion line locations. First, the flame image acquisition process is introduced. Then, the combustion line level is divided by combining with the location information of three-dimensional space inside the furnace. Finally, a calibration algorithm facing the position of the combustion line is proposed. Thus, combustion flame image dataset was constructed, which provided a reference for relevant researchers to utilize this dataset in the future study.\",\"PeriodicalId\":138951,\"journal\":{\"name\":\"2022 4th International Conference on Industrial Artificial Intelligence (IAI)\",\"volume\":\"74 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 4th International Conference on Industrial Artificial Intelligence (IAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAI55780.2022.9976688\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 4th International Conference on Industrial Artificial Intelligence (IAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAI55780.2022.9976688","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Construction of Combustion Line Quantification Data Set for Municipal Solid Waste Incineration Process
In municipal solid waste incineration (MSWI) process, combustion line is one of the key controlled variables to characterize the combustion stability and operation safety. Realizing the quantification of combustion line can replace “manual fire monitoring”, which can improve the intelligent degree of MSWI process through real-time feedback. However, the quantification of combustion line needs the combustion flame image data set. Currently, there is no standard flame image data set containing multiple combustion line locations. This paper constructs a flame image set containing multiple combustion line locations. First, the flame image acquisition process is introduced. Then, the combustion line level is divided by combining with the location information of three-dimensional space inside the furnace. Finally, a calibration algorithm facing the position of the combustion line is proposed. Thus, combustion flame image dataset was constructed, which provided a reference for relevant researchers to utilize this dataset in the future study.