The robots developed by the University of Science and Technology make the tunnel construction safer!

Full self -autonomous obstacle climbing, determining peripheral gas components, intelligent spray dust reduction, three -dimensional imaging scanning ...

Recently, at the construction site of a large -scale tunnel project, a large -scale tunnel explosion -proof multi -function inspection robot jointly developed by the Hefu Research Institute of Electronic Science and Technology and the 8th Bureau of China Construction Eighth Bureau completed the tunnel operation problems such as environmental detection, palm -sournion scanning in the tunnel It successfully passed the on -site test drill and laid a solid foundation for the next multi -functional robot to officially applied to the construction of oversized tunnel projects.

Aiming at the actual difficulties of the pain points of the tunnel construction

For a long time, the problems of unstable structure of the mountain after blasting, the leakage of various unknown ingredients, and the high dust concentration of the dust have been the pain point in the field of tunnel engineering construction. Under the traditional construction method, only when the tunnel ventilation duct is turned on throughout the weather, it depends on manpower to approach observation and testing. The life and health of engineers face various potential risks.

"After the explosion is blasting, what places are produced in the tunnel? Is it too much to explode or not enough? Is the structure of the palm noodles stable?" These issues can not only better protect the safety of the construction personnel, but also greatly improve the construction efficiency.

Focusing on hidden dangers such as hidden local hydrology, geology, and flammable and explosive gas in the tunnel, the R & D team integrates hazardous gas testing and positioning, three -dimensional imaging scanning, intelligent spray dust reduction in this multi -functional inspection robot A number of applications such as spray, driverless driving more obstacles, ultra -broadband communication navigation positioning, real -time remote remote control linkage and AI supercomputing warning monitoring can realize the maneuver imaging analysis of the palm -faced structure during the tunnel construction, multi -type flammable and explosive explosion Harmony gas detection and gas source position analysis, real -time dust reduction spray, 360 -degree omnidirectional monitoring and actual modeling of work areas.

"If it is said that in the past, it usually takes a long or short time to allow engineers to go near the work surface to check. Our robot can go to the blasting point near the blasting point for environmental detection immediately after blasting, which is equivalent to letting the robot hit the front station. Analysis of unsafe factors and presenting data and videos on the large screen of the project department, "said the members of the R & D team.

Autonomous R & D image recognition algorithm operation is more intelligent

The tunnel operation environment is harsh and the operating conditions are changing, and the robot itself has strong adaptability.

Therefore, "explosion -proof" has become the most important standard. From the internal motors, batteries to plugs, and whole machines, robots must meet the corresponding explosion -proof standards. R & D personnel said, "If encountering high -concentration gas and other flammable and explosive gas, a small static electricity may lead to catastrophic consequences."

In addition, the blasting tunnel often generates irregular complex terrain, which requires the robot to have autonomous path navigation and climbing and getting obstacles. According to reports, the robot uses a crawler design, and at the same time, relying on multiple lidar and high -definition cameras to scan the building and planning paths, it can also smoothly pass the obstacles of 25 cm high and the depth of 35 cm.

"More importantly, through collecting and analyzing a large amount of tunnel data, we independently developed the image recognition algorithm of the palm surface." Members of the R & D team said that through this algorithm The contour, especially the newly exposed palm face after the visual perception analysis of the probe, can be transmitted to the background in the form of a cloud map to analyze it for tunnel engineering operations Difficult evaluation and other problems provide integrated comprehensive solutions.

The person in charge of the team said that this tunnel explosion -proof inspection robot also plans to integrate the existing Tahhrtz spectrum scanning technology of Hefu Research Institute of Electronic Science and Technology to further improve the functions such as the tunnel palm surface scanning and analysis after blasting the structure. Under the conditions, the operational efficiency and safety performance of the oversized tunnel engineering construction will also provide valuable experience for my country's independent research and development and innovative application of special robots to serve major national strategic needs. In the future, this robot can also be applied to a reliable "security administrator" in various dangerous and complex environmental detection and conventional automatic security inspections.

Chengdu Daily Jinguan News Reporter Bai Yang, responsible for Editor He Qi Tie, editor Liu Yonghao, a picture of Electronic Science and Technology University

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