Kyle Andrey Tajale Dahab, Andrea Nicole Esconde Medina, Mark Anthony Umali Siena, Joseph Darwin Celso Co, C. Centeno, Domingo Valenzuela Tanael
{"title":"液化石油气泄漏检测系统的实现","authors":"Kyle Andrey Tajale Dahab, Andrea Nicole Esconde Medina, Mark Anthony Umali Siena, Joseph Darwin Celso Co, C. Centeno, Domingo Valenzuela Tanael","doi":"10.1145/3582099.3582138","DOIUrl":null,"url":null,"abstract":"Gas leakage is the unintentional discharge of gaseous substances into any location where they should not be present. The potential for numerous accidents that result in property damage and physical injuries is due to the gas' properties, such as toxicity, flammability, explosivity, etc. Liquefied petroleum gas can also be quite hard to detect as it can be obscured by stronger odors or smells that may come from food. It is also invisible to the naked eye. In this study, the researchers developed a system that detects liquefied petroleum gas leakage and immediately notifies nearby users that are affected through the use of an ESP32 microcontroller, MQ-6 gas sensor, and a passive buzzer module. The results show that the researchers have successfully achieved their objective of detecting the inadvertent outflow of liquefied petroleum gas and notifying affected users via buzzer and email application. The evaluation of the study using ISO 25010 shows that the system has excellent Functional Suitability and Usability with a mean of 4.84 and 4.72, respectively.","PeriodicalId":222372,"journal":{"name":"Proceedings of the 2022 5th Artificial Intelligence and Cloud Computing Conference","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Implementation of a Liquefied Petroleum Gas Leakage Detection System\",\"authors\":\"Kyle Andrey Tajale Dahab, Andrea Nicole Esconde Medina, Mark Anthony Umali Siena, Joseph Darwin Celso Co, C. Centeno, Domingo Valenzuela Tanael\",\"doi\":\"10.1145/3582099.3582138\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Gas leakage is the unintentional discharge of gaseous substances into any location where they should not be present. The potential for numerous accidents that result in property damage and physical injuries is due to the gas' properties, such as toxicity, flammability, explosivity, etc. Liquefied petroleum gas can also be quite hard to detect as it can be obscured by stronger odors or smells that may come from food. It is also invisible to the naked eye. In this study, the researchers developed a system that detects liquefied petroleum gas leakage and immediately notifies nearby users that are affected through the use of an ESP32 microcontroller, MQ-6 gas sensor, and a passive buzzer module. The results show that the researchers have successfully achieved their objective of detecting the inadvertent outflow of liquefied petroleum gas and notifying affected users via buzzer and email application. The evaluation of the study using ISO 25010 shows that the system has excellent Functional Suitability and Usability with a mean of 4.84 and 4.72, respectively.\",\"PeriodicalId\":222372,\"journal\":{\"name\":\"Proceedings of the 2022 5th Artificial Intelligence and Cloud Computing Conference\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2022 5th Artificial Intelligence and Cloud Computing Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3582099.3582138\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 5th Artificial Intelligence and Cloud Computing Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3582099.3582138","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implementation of a Liquefied Petroleum Gas Leakage Detection System
Gas leakage is the unintentional discharge of gaseous substances into any location where they should not be present. The potential for numerous accidents that result in property damage and physical injuries is due to the gas' properties, such as toxicity, flammability, explosivity, etc. Liquefied petroleum gas can also be quite hard to detect as it can be obscured by stronger odors or smells that may come from food. It is also invisible to the naked eye. In this study, the researchers developed a system that detects liquefied petroleum gas leakage and immediately notifies nearby users that are affected through the use of an ESP32 microcontroller, MQ-6 gas sensor, and a passive buzzer module. The results show that the researchers have successfully achieved their objective of detecting the inadvertent outflow of liquefied petroleum gas and notifying affected users via buzzer and email application. The evaluation of the study using ISO 25010 shows that the system has excellent Functional Suitability and Usability with a mean of 4.84 and 4.72, respectively.