Solution > Application of LiDAR in obstacle avoidance of overhead cranes
Application of LiDAR in obstacle avoidance of overhead cranes
Sharp reduction in accident rate, rapid response, intelligent graded braking
Long distance light year series
Industry/Project Background Introduction
In large manufacturing workshops such as metallurgy, papermaking, and building materials, multiple overhead cranes often operate at high loads on the same track. Traditional manual operations are prone to collision accidents due to delayed judgment, which not only affects production efficiency but also threatens personnel safety. In response to this pain point, the intelligent collision avoidance system uses millimeter wave radar and visual fusion technology to monitor the distance and operating status of the overhead crane in real time. When collision risk is detected, the system can automatically trigger graded warning (sound and light alarm → deceleration → emergency braking), achieving rapid response within 50ms. At the same time, by combining scheduling algorithms to optimize the running path of the overhead crane, the collision accident rate has been reduced to less than 0.1%, ensuring the safety of continuous operations and increasing overall production efficiency by more than 25%.
Application scenarios
- Support real-time position tracking of multiple overhead cranes on the same track, covering a radius of ≥ 50 meters
Technical Proposal
- Millimeter wave radar+visual dual verification, ranging error<3cm
Customer Value
- Automatically trigger three-level braking (warning/deceleration/emergency stop) based on risk level
- Response time from detection to completion of braking ≤ 50ms
Technical highlights
- Reduce the collision accident rate from 8% to below 0.1%
- Reduce downtime and increase lifting efficiency by 25%
Case diagram
Case 1
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