A Prototype of Indoor Hazard Detection System using Sensors and IoT

Abstract

Dangerous conditions can occur anywhere and anytime even in an indoor environment. Some of the hazardous situations could come from harmful gases, fires, earthquakes, abnormal temperatures and humidity. The purpose of this research is to design and implement a simple prototype as an early warning system in terms to raise human awareness about the possibilities of hazardous conditions, especially inside the room. This research is based on the Spiral method which has the iterative and systematic prototyping properties of the waterfall model. The main components of the prototype are temperature and humidity sensor, smoke sensor, flame sensor, Gyroscope, Accelerometer, Wemos D1 board, and Blynk IoT platform. Those components were set up to build a system which connected to a smartphone as a user interface which intended to monitor the stimulus in the indoor environment while performing any detection and alertness function when various hazardous conditions are detected. The Blynk apps which installed and set up on the user smartphone could display the gauge values and graph read from each sensor in real-time and also pop-up message notifications as an alert when a potentially dangerous condition is detected. The system also provided direct notifications through LEDs indicators and voice alerts for each hazardous condition, to give early warnings to the people inside the room or building so that they can avoid or minimize the effects of any potentially dangerous situations. The system was tested and well function according to the research purpose.