一种基于机器视觉的核电预埋件安装智能检测平台与方法
By combining machine vision technology with high-definition cameras and LiDAR to form an intelligent inspection platform, the problems of low accuracy, low efficiency, poor safety and low automation in traditional inspection methods have been solved, achieving efficient and accurate quality control of nuclear power plant embedded parts.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- 中核建创新科技有限公司
- Filing Date
- 2025-05-26
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional instruments used for inspecting embedded parts in nuclear power plants suffer from limited accuracy, low efficiency, poor safety, low visualization, and low automation, making it difficult to meet the high-precision and high-efficiency quality control requirements of nuclear power engineering.
A machine vision-based intelligent inspection platform for nuclear power plant embedded parts installation is adopted. Through high-precision joint calibration of high-definition cameras and LiDAR, the size and position of embedded parts are identified and detected in real time, and compared with BIM data to identify abnormal installations.
It achieves high-precision and high-speed inspection of embedded parts, improves the automation and visualization of inspection, reduces errors from manual operation, enhances safety and inspection efficiency, and supports rapid integration into digital quality control.
Smart Images
Figure CN120538408B_ABST