Ian Joel J. Galarretta, Engr. Joseph Bryan Ibarra, Raiza Marie A. Fronda
{"title":"基于热舒适的可穿戴式自动空调控制系统的研制","authors":"Ian Joel J. Galarretta, Engr. Joseph Bryan Ibarra, Raiza Marie A. Fronda","doi":"10.1109/CSPA55076.2022.9782031","DOIUrl":null,"url":null,"abstract":"For the user’s convenience and comfort, the study offers a wireless body temperature monitoring device that is wearable and portable. Technotemp wrist a/c controller is considered to be the name of the system. When the user’s body temperature falls within a temperature range, the device automatically changes the Air conditioning temperature. This study shows that the involvement of clothing insulation can have a greater impact on body temperature. Also, raising the intensity of an individual’s activity level will further increase their body temperature over time. This study will determine the appropriate A/C thermostat with the body temperature by using the CBE (Center for the Built Environment) Thermal Comfort tool. It will calculate thermal comfort according to EN-16798 Standard, thermal comfort, Predicted Mean Vote (PMV) and Predicted Percentage of Dissatisfied (PPD). Besides clothing insulation and metabolic rate (MET), the needed inputs with this tool are air velocity, relative humidity, mean radiant temperature, and air temperature. Among the 30 test subjects, it was found that the thermal comfort body temperature of the user ranges between 35.01-36.03°C. For the system’s accuracy and efficacy, it will be measured by using subjective and objective methods with a new set of 15 test subjects. For the subjective method, users will be asked every 3 minutes to assess their thermal environment in terms of thermal sensation. The objective method will be measured through their stress levels using the Huawei GT2e smartwatch. It was observed that these methods gained an accuracy of 96.67%. The system’s effectiveness will be evaluated by comparing our proposed automatic controller setup with the traditional way controller. It was found that the automatic controller is faster to reach thermal comfort for about 37-37.2 minutes while 48.2-49 minutes for the traditional setup, having an effectiveness rate of 93.33%.","PeriodicalId":174315,"journal":{"name":"2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Developing a Wearable Automatic Air Conditioning Control System Based on Thermal Comfort\",\"authors\":\"Ian Joel J. Galarretta, Engr. Joseph Bryan Ibarra, Raiza Marie A. Fronda\",\"doi\":\"10.1109/CSPA55076.2022.9782031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For the user’s convenience and comfort, the study offers a wireless body temperature monitoring device that is wearable and portable. Technotemp wrist a/c controller is considered to be the name of the system. When the user’s body temperature falls within a temperature range, the device automatically changes the Air conditioning temperature. This study shows that the involvement of clothing insulation can have a greater impact on body temperature. Also, raising the intensity of an individual’s activity level will further increase their body temperature over time. This study will determine the appropriate A/C thermostat with the body temperature by using the CBE (Center for the Built Environment) Thermal Comfort tool. It will calculate thermal comfort according to EN-16798 Standard, thermal comfort, Predicted Mean Vote (PMV) and Predicted Percentage of Dissatisfied (PPD). Besides clothing insulation and metabolic rate (MET), the needed inputs with this tool are air velocity, relative humidity, mean radiant temperature, and air temperature. Among the 30 test subjects, it was found that the thermal comfort body temperature of the user ranges between 35.01-36.03°C. For the system’s accuracy and efficacy, it will be measured by using subjective and objective methods with a new set of 15 test subjects. For the subjective method, users will be asked every 3 minutes to assess their thermal environment in terms of thermal sensation. The objective method will be measured through their stress levels using the Huawei GT2e smartwatch. It was observed that these methods gained an accuracy of 96.67%. The system’s effectiveness will be evaluated by comparing our proposed automatic controller setup with the traditional way controller. 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Developing a Wearable Automatic Air Conditioning Control System Based on Thermal Comfort
For the user’s convenience and comfort, the study offers a wireless body temperature monitoring device that is wearable and portable. Technotemp wrist a/c controller is considered to be the name of the system. When the user’s body temperature falls within a temperature range, the device automatically changes the Air conditioning temperature. This study shows that the involvement of clothing insulation can have a greater impact on body temperature. Also, raising the intensity of an individual’s activity level will further increase their body temperature over time. This study will determine the appropriate A/C thermostat with the body temperature by using the CBE (Center for the Built Environment) Thermal Comfort tool. It will calculate thermal comfort according to EN-16798 Standard, thermal comfort, Predicted Mean Vote (PMV) and Predicted Percentage of Dissatisfied (PPD). Besides clothing insulation and metabolic rate (MET), the needed inputs with this tool are air velocity, relative humidity, mean radiant temperature, and air temperature. Among the 30 test subjects, it was found that the thermal comfort body temperature of the user ranges between 35.01-36.03°C. For the system’s accuracy and efficacy, it will be measured by using subjective and objective methods with a new set of 15 test subjects. For the subjective method, users will be asked every 3 minutes to assess their thermal environment in terms of thermal sensation. The objective method will be measured through their stress levels using the Huawei GT2e smartwatch. It was observed that these methods gained an accuracy of 96.67%. The system’s effectiveness will be evaluated by comparing our proposed automatic controller setup with the traditional way controller. It was found that the automatic controller is faster to reach thermal comfort for about 37-37.2 minutes while 48.2-49 minutes for the traditional setup, having an effectiveness rate of 93.33%.