Operation safety distance management method based on laser radar point cloud data
Through the multimodal data fusion of three-dimensional lidar and nine-axis sensors, combined with point cloud processing and trajectory prediction, the problems of target recognition errors and delayed safety distance judgment caused by equipment posture changes in existing hazard source monitoring systems are solved, achieving high-precision, real-time safety distance management and improving the safety of industrial environments.
Patent Information
- Application Number
- CN202511006574.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-22
- Publication Date
- 2025-09-26
AI Technical Summary
The existing hazard source monitoring system is prone to mismatch in point cloud models when the equipment posture changes, resulting in target recognition errors and distance calculation deviations. It lacks an effective compensation mechanism for equipment posture changes, fails to fully utilize the temporal and spatial information of three-dimensional point cloud data, lacks prediction of target movement trends, and has a delayed safety distance judgment and a high false alarm rate.
By introducing a multimodal data fusion mechanism of three-dimensional lidar and nine-axis sensor, combined with point cloud processing algorithm and trajectory prediction method, an initial three-dimensional point cloud model is generated, point cloud registration and dynamic target recognition are performed, the motion trajectory is predicted, the dynamic safety distance threshold is determined, and the alarm mechanism is triggered.
It achieves high-precision, real-time, and intelligent monitoring of the behavior of people or objects approaching dangerous sources in industrial environments, reduces the false alarm rate, improves the effectiveness and response speed of safety management, and ensures the safety of the work site.