Lidia Saúco, P. Pradas, Edurne Ibarrola, Jesús Martín, C. Lardín
{"title":"污水处理厂气味管理预警系统","authors":"Lidia Saúco, P. Pradas, Edurne Ibarrola, Jesús Martín, C. Lardín","doi":"10.1109/ISOEN54820.2022.9789637","DOIUrl":null,"url":null,"abstract":"The cloud platform Wastewater odour Cloud (WoC) was conceived as an early warning system, enabling real-time detection of incidents related to the presence of odorous gases, monitoring of existing treatment systems, estimation of the odour impact associated with odorous gases in real time or estimation of the odour impact 24 hours ahead. For this project, a series of indicators have been developed which, depending on the behaviour of each of the parameters studied, provide the risk of odour impact incidents, the advisability of carrying out a series of maintenance operations and/or process modifications, etc. These indicators are fundamental to be able to generate an early warning system that allows to see in real time processed information and the value of the parameters collected.","PeriodicalId":427373,"journal":{"name":"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","volume":"236 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Early alert system for odour management in WWTP\",\"authors\":\"Lidia Saúco, P. Pradas, Edurne Ibarrola, Jesús Martín, C. Lardín\",\"doi\":\"10.1109/ISOEN54820.2022.9789637\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The cloud platform Wastewater odour Cloud (WoC) was conceived as an early warning system, enabling real-time detection of incidents related to the presence of odorous gases, monitoring of existing treatment systems, estimation of the odour impact associated with odorous gases in real time or estimation of the odour impact 24 hours ahead. For this project, a series of indicators have been developed which, depending on the behaviour of each of the parameters studied, provide the risk of odour impact incidents, the advisability of carrying out a series of maintenance operations and/or process modifications, etc. These indicators are fundamental to be able to generate an early warning system that allows to see in real time processed information and the value of the parameters collected.\",\"PeriodicalId\":427373,\"journal\":{\"name\":\"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)\",\"volume\":\"236 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISOEN54820.2022.9789637\",\"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 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISOEN54820.2022.9789637","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The cloud platform Wastewater odour Cloud (WoC) was conceived as an early warning system, enabling real-time detection of incidents related to the presence of odorous gases, monitoring of existing treatment systems, estimation of the odour impact associated with odorous gases in real time or estimation of the odour impact 24 hours ahead. For this project, a series of indicators have been developed which, depending on the behaviour of each of the parameters studied, provide the risk of odour impact incidents, the advisability of carrying out a series of maintenance operations and/or process modifications, etc. These indicators are fundamental to be able to generate an early warning system that allows to see in real time processed information and the value of the parameters collected.
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