Research and design of intelligent detection robot system for fire pipeline based on STM32

Piao Liang; Zhixun Liang; Lei Tang; Riwei Lan; Haoran Liang

doi:10.1117/12.3009300

16 October 2023 Research and design of intelligent detection robot system for fire pipeline based on STM32

Piao Liang, Zhixun Liang, Lei Tang, Riwei Lan, Haoran Liang

Proceedings Volume 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023); 1280334 (2023) https://doi.org/10.1117/12.3009300
Event: 2023 5th International Conference on Artificial Intelligence and Computer Science (AICS 2023), 2023, Wuhan, China

Abstract

For handheld detectors that cannot fully perceive environmental information deep in the pipeline, and the rescuers cannot accurately assess the danger level in the pipeline, which may cause casualties and casualties in the pipeline, the paper proposes a design idea and scheme for controlling the intelligent detection robot of the fire pipeline by operating the rocker, which enters the pipeline and can adjust the fit between the drive wheel and the inner wall of the pipeline in order to pass smoothly in the pipeline, and after collecting the environmental information in the pipe, the information is transmitted back to the background system. According to the environmental information transmitted back by the robot, the rescue personnel formulated the optimal rescue plan, the paper introduced the mechanical structure design and electrical system design of the robot in detail, and finally introduced the test and experimental results of the robot, and the experimental results showed that the intelligent detection robot of fire pipeline has good detection performance.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Piao Liang, Zhixun Liang, Lei Tang, Riwei Lan, and Haoran Liang "Research and design of intelligent detection robot system for fire pipeline based on STM32", Proc. SPIE 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023), 1280334 (16 October 2023); https://doi.org/10.1117/12.3009300

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