000			03274nam a22003257a 4500
003			OSt
005			20250718142209.0
008			250718b |||||||| |||| 00| 0 eng d
040			_aTUPM _bEnglish _cTUPM _dTUPM _erda
050			_aBTH TK 146 _bB73 2025
100			_aBravo, Rikki Montero C. _eauthor
245			_aIot-based air conditioning unit integrated with air purification, heat signature detection, and monitoring system/ _cRikki Montero C. Bravo, Ranelyn Grace S. Cabral, Angelo O. Castilla, Neil Xyrone S. Dilidili, and Tristan Ivan M. Rodriguez.--
260			_aManila: _bTechnological University of the Philippines, _c2025.
300			_aix, 139pages: _c29cm.
336			_2rdacontent
337			_2rdamedia
338			_2rdacarrier
500			_aBachelor's thesis
502			_aCollege of Engineering.-- _bBachelor of science in electrical engineering: _cTechnological University of the Philippines, _d2025.
504			_aIncludes bibliographic references and index.
520			_aThis study presents the designing and development of an IoT-Based Air Conditioning Unit (ACU) intended to enhance energy efficiency, real-time environmental monitoring, and user comfort in a single-room application. The system integrates an ESP-WROOM-32 microcontroller with an AMG8833 IR Thermal Camera and an Ultrasonic Sensor for heat signature and occupancy detection, an MQ135 Air Quality Sensor, a ZMPT101B AC Voltage Sensor, and an ACS712 Current Sensor, alongside a custom mobile application for remote access and control. The research addresses the growing need for intelligent and automated indoor climate control systems capable of adapting to dynamic occupancy and environmental conditions. The prototype was tested from March 27 to April 4, 2025. The ACU successfully detected human presence within a 0.8-meter radius and adjusted room temperature from a default of 24°C when unoccupied to as low as 17°C when fully occupied, with a response time of approximately 2 to 5 seconds. The adaptive cooling logic lowered the temperature by 1°C for each additional occupant, up to eight persons. Air quality was monitored every 15 minutes, with values improving significantly during periods of increased occupancy—initial readings on April 2 showed AQI values between 1.89 and 0.83 in the morning, improving to a range of 0.47 to 0.63 later in the day. The system’s daily energy consumption ranged from 6.98 to 9.12 kW-hr, achieving energy savings of up to 9.24 kW-hr compared to commercial AC units, equivalent to a cost reduction of ₱120.237. The results demonstrate the ACU’s reliability, energy efficiency, and responsiveness in real-time scenarios. By integrating IoT functionality with automated temperature adjustment, environmental sensing, and mobile-based monitoring, the system offers a practical and sustainable solution for smart home applications focused on user comfort and operational efficiency.
650			_aIoT systems
650			_aEnergy efficiency
650			_aSmart climate control
700			_aCabral, Ranelyn Grace S. _eauthor
700			_aCastilla, Angelo O. _eauthor
700			_aDilidili, Neil Xyrone S. _eauthor
700			_aRodriguez, Tristan Ivan M. _eauthor
942			_2lcc _cBTH COE _n0
999			_c30456 _d30456