Iot-based air conditioning unit integrated with air purification, heat signature detection, and monitoring system/ Rikki Montero C. Bravo, Ranelyn Grace S. Cabral, Angelo O. Castilla, Neil Xyrone S. Dilidili, and Tristan Ivan M. Rodriguez.--

Bachelor's thesis

College of Engineering.-- Bachelor of science in electrical engineering: Technological University of the Philippines, 2025.

Includes bibliographic references and index.

This 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.