Rhoda Mae L. Casinillo, Allecia Leona A. So, Maezel V. Mandaya, Sonny Adrian J. Dabalos, Mark Ceasar S. Enriquez, J. F. Cane
{"title":"Development of Arduino-based high heat detector temperature control prototype for household appliances","authors":"Rhoda Mae L. Casinillo, Allecia Leona A. So, Maezel V. Mandaya, Sonny Adrian J. Dabalos, Mark Ceasar S. Enriquez, J. F. Cane","doi":"10.11591/ijra.v13i2.pp140-159","DOIUrl":null,"url":null,"abstract":"In the Philippines, fires are a widespread concern, with plenty of incidents attributed to electrical appliances. These incidents are a leading cause of non-open flame fires in the country, highlighting the urgent need for preventative measures. Existing devices could only trigger an alarm at 100 °C without shutting off the appliance automatically. To address these limitations, the researchers aimed to develop a high heat detector with 95% detection accuracy and less than 5% error in detecting high heat. This device used an Arduino Uno Board and relay to trigger an automated power-off mechanism in appliances experiencing high heat. Temperature changes were detected, and alarms were activated using an LM35 temperature sensor and buzzer. The accuracy of the LM35 sensor was assessed through hot bath tests, which included 12 trials at each temperature level between 80 °C and 150 °C with 10 °C intervals. The prototype’s performance revealed an average error rate of 1.13% and an average standard deviation of 0.9403. The computed F1 Score of 98% indicated that the prototype fulfilled the objectives. Functionality tests confirmed that the prototype successfully achieved its intended goal by shutting off the appliance when the threshold temperature was reached and enabling its operation otherwise.","PeriodicalId":422370,"journal":{"name":"IAES International Journal of Robotics and Automation (IJRA)","volume":"8 8","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IAES International Journal of Robotics and Automation (IJRA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11591/ijra.v13i2.pp140-159","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
In the Philippines, fires are a widespread concern, with plenty of incidents attributed to electrical appliances. These incidents are a leading cause of non-open flame fires in the country, highlighting the urgent need for preventative measures. Existing devices could only trigger an alarm at 100 °C without shutting off the appliance automatically. To address these limitations, the researchers aimed to develop a high heat detector with 95% detection accuracy and less than 5% error in detecting high heat. This device used an Arduino Uno Board and relay to trigger an automated power-off mechanism in appliances experiencing high heat. Temperature changes were detected, and alarms were activated using an LM35 temperature sensor and buzzer. The accuracy of the LM35 sensor was assessed through hot bath tests, which included 12 trials at each temperature level between 80 °C and 150 °C with 10 °C intervals. The prototype’s performance revealed an average error rate of 1.13% and an average standard deviation of 0.9403. The computed F1 Score of 98% indicated that the prototype fulfilled the objectives. Functionality tests confirmed that the prototype successfully achieved its intended goal by shutting off the appliance when the threshold temperature was reached and enabling its operation otherwise.
在菲律宾,火灾是一个广受关注的问题,很多火灾都是由电器引起的。这些事故是菲律宾非明火火灾的主要原因,突出表明迫切需要采取预防措施。现有的设备只能在温度达到 100 °C 时触发警报,而不会自动关闭电器。为解决这些局限性,研究人员旨在开发一种检测准确率达 95%、检测高热误差小于 5%的高热检测器。该设备使用 Arduino Uno 电路板和继电器,在电器出现高热时触发自动断电机制。使用 LM35 温度传感器和蜂鸣器检测温度变化并触发警报。LM35 传感器的准确性通过热水浴测试进行了评估,其中包括在 80 °C 至 150 °C 之间的每个温度水平上以 10 °C 为间隔进行的 12 次试验。原型的性能显示,平均误差率为 1.13%,平均标准偏差为 0.9403。计算得出的 F1 分数为 98%,表明原型达到了目标。功能测试证实,原型成功地实现了预期目标,即在达到阈值温度时关闭设备,反之则使其运行。