Cloud measurement method of hydraulic support cluster based on AR calibration and matching
The cloud measurement method of hydraulic support groups using AR calibration and matching, combined with AR glasses, remote cloud data processing and VR systems, solves the problems of high sensor cost and complex installation in the posture measurement of hydraulic support groups, achieves high-precision and real-time posture detection, and improves the safety and operational efficiency of the fully mechanized mining working face.
Patent Information
- Application Number
- CN202411377313.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-30
- Publication Date
- 2025-09-23
- Estimated Expiration
- 2044-09-30
AI Technical Summary
The existing method for measuring the posture of hydraulic support groups has problems such as high sensor cost, complex installation, increased maintenance cost, large sensor data processing volume, increased system complexity, unstable sensor accuracy, posture drift, error accumulation, matching difficulty, occlusion effect, and high environmental requirements, which affect the measurement accuracy and system stability. It also lacks the convenience of data reception for patrol personnel, affecting real-time monitoring and decision-making capabilities.
A cloud measurement method for hydraulic support groups based on AR calibration is adopted. Through AR glasses, a remote cloud data processing system and a VR system, virtual reality technology and augmented reality technology are combined to realize the posture detection of the hydraulic support group. AR glasses are used for real-time information display and data feedback, the remote cloud is used for data processing and model correction, and the VR system is used for posture reconstruction and verification, which simplifies sensor installation and improves measurement accuracy and convenience.
It achieves accurate acquisition of hydraulic support posture information without installing a large number of sensors, reduces system complexity and maintenance costs, improves measurement accuracy and real-time performance, enhances the convenience of data reception for inspection personnel and the real-time monitoring capability of working surface status, and reduces potential risks.
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Figure CN119359804B_ABST
Abstract
Citation Information
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