{"title":"High Security Alert System for Industrial Atmospheric Parameters","authors":"Nanadakuditi Bhavana, Madhusudana rao Ranga, Atmakuri Gopala Krishna, Nandhyala Manisha, Devarapalli Rithin","doi":"10.1109/ICCMC56507.2023.10083512","DOIUrl":null,"url":null,"abstract":"The proposed system is a cost- and power-efficient real-time monitoring system for industrial processes. The system uses sensors to measure parameters such as temperature, gas, smoke, and fire and transmits the data to a microprocessor and mobile device using a Raspberry Pi module and GSM module. This helps to prevent accidents and improve safety in hazardous working environments. The system uses a Wireless Sensor Network (WSN) for wireless communication between devices, which is crucial for industrial applications as wiring is expensive and may cause maintenance problems. The system uploads data to the cloud using IoT and allows for remote monitoring via mobile or the internet using the Node-red. The use of WSN and IoT helps reduce human intervention while increasing efficiency and improving performance. The system is commonly used in industrial applications such as machine control, gas level monitoring, humidity measurement, and fire detection. The use of IOT in combination with firefighting has a significant impact on fire emergencies and enhances fire brigade capabilities. The proposed model is designed in a manner that at first level of saturation, alert buzzer will give a beep sound. At second level of saturation the owner will receive a message alert to a specific mobile number according to the code. At final stage of toxic saturation that is if it is more than 30 percent of the tolerance level the person will receive a phone call alert to that mobile number.","PeriodicalId":197059,"journal":{"name":"2023 7th International Conference on Computing Methodologies and Communication (ICCMC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 7th International Conference on Computing Methodologies and Communication (ICCMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCMC56507.2023.10083512","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
The proposed system is a cost- and power-efficient real-time monitoring system for industrial processes. The system uses sensors to measure parameters such as temperature, gas, smoke, and fire and transmits the data to a microprocessor and mobile device using a Raspberry Pi module and GSM module. This helps to prevent accidents and improve safety in hazardous working environments. The system uses a Wireless Sensor Network (WSN) for wireless communication between devices, which is crucial for industrial applications as wiring is expensive and may cause maintenance problems. The system uploads data to the cloud using IoT and allows for remote monitoring via mobile or the internet using the Node-red. The use of WSN and IoT helps reduce human intervention while increasing efficiency and improving performance. The system is commonly used in industrial applications such as machine control, gas level monitoring, humidity measurement, and fire detection. The use of IOT in combination with firefighting has a significant impact on fire emergencies and enhances fire brigade capabilities. The proposed model is designed in a manner that at first level of saturation, alert buzzer will give a beep sound. At second level of saturation the owner will receive a message alert to a specific mobile number according to the code. At final stage of toxic saturation that is if it is more than 30 percent of the tolerance level the person will receive a phone call alert to that mobile number.