Yangju City Confirms Feasibility of Safety Inspections in Confined Spaces Using AI Quadruped Robot

Remote Navigation and Hazardous Gas Detection Test Conducted at Livestock Manure Facility

Anticipated to Prevent Worker Suffocation Accidents

Yangju City in Gyeonggi Province has verified the possibility of conducting remote safety inspections in confined spaces with a high risk of suffocation accidents by deploying an artificial intelligence (AI)-based quadruped robot.

Yangju City remotely inspected the concentration of harmful gases and the internal environment in the confined spaces of public livestock manure treatment facilities using an AI-based quadruped robot. Provided by Yangju City

The city announced that it recently conducted a "Confined Space Composite Concentration Measurement Pilot Test" in the confined spaces of a public livestock manure treatment facility. This test was designed to identify potential hazards in spaces that are difficult for humans to access and to ensure the safety of workers. The Association for Advanced Technology Safety Inspection, a non-profit organization, was in charge of the trial.

Livestock manure treatment facilities can generate harmful gases or present oxygen-deficient environments during the treatment process, making it essential to thoroughly examine the internal conditions before beginning any work.

For the test, a quadruped robot equipped with environmental sensors was deployed. The robot traversed the interior of the confined space via remote control, evaluating its capacity to navigate obstacles, the reliability of its communication systems, and the maximum distance it could cover.

The robot also measured key air quality indicators such as temperature, carbon monoxide, and carbon dioxide concentration. Relevant data was transmitted in real time to a cloud system, thereby assessing the feasibility of remote monitoring.

Based on the results of this trial, Yangju City plans to review safety inspection methods utilizing AI mobility technology, focusing especially on confined spaces that are either difficult for workers to access regularly or pose direct risks to human entry.

Moon Eun-kyung, head of the Citizen Safety Division, stated, "We've confirmed the potential of using mobility AI technology as an alternative to protect workers when inspecting dangerous confined spaces," adding, "We will continue to seek effective safety management solutions that can reduce blind spots on site."

This content was produced with the assistance of AI translation services.