Application of inverse variance weighting method to temperature and humidity measurement robots
Ranhe Cao · IET conference proceedings. · 2025
The main goal of this study is to develop a line patrol robot-based vehicle designed to replace manpower to detect and eliminate safety hazards in special environments. The vehicle is controlled using the Arduino platform, enabling different sensors through coding instructions. These sensors include SHT31 sensors for measuring ambient temperature and humidity, HJ-HDB1 infrared sensors for detecting obstacles, and HC-SR04 ultrasonic sensors for measuring distance. The research methods include experimental design, coding, data collection, and analysis. The results show that the vehicle is able to detect and collect data on temperature, humidity, and obstacle distance in a relatively complex environment and the vehicle can operate stably in a simulated urban pipeline, using ultrasonic sensors to avoid obstacles and measure the distance to obstacles. The collected data is stored in the Arduino's EEPROM for subsequent analysis. This study successfully demonstrated the practical potential of using line-following robot-based vehicles in complex and dangerous environments. Future improvements may include adding more types of sensors to achieve more comprehensive environmental monitoring, and optimizing navigation algorithms to further improve the performance of vehicles in dynamic environments. These advances will promote the wider application of robotics and provide innovative solutions to complex real-world challenges.