Crane wisdom examination method based on thermal imaging, examination system and medium
By combining thermal imaging and skeleton recognition technologies, and utilizing information extraction neural networks and fuzzy logic rules to conduct multi-dimensional evaluations of crane operators, the subjective and inconsistent nature of manual scoring in traditional crane examinations has been resolved, achieving objective and fair scoring and an efficient assessment process.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ANHUI SPECIAL EQUIP INSPECTION INST
- Filing Date
- 2026-03-20
- Publication Date
- 2026-07-03
AI Technical Summary
Current crane operator examinations rely on manual observation and subjective judgment, which are subjective and inconsistent. They cannot accurately assess multi-dimensional information during operation, resulting in scores that cannot fully reflect the operator's real-time status and actual ability.
A smart examination method based on thermal imaging is adopted. Infrared thermal imaging technology and skeleton recognition technology are used to obtain infrared heat source data of crane structural nodes and skeleton node coordinates of operators. Information extraction neural network and fuzzy logic rules are combined to conduct multi-dimensional evaluation. Bayesian estimation is used to estimate the probability of skill level, and finally an objective and fair score is generated.
It achieves comprehensive capture of operators' explicit behaviors and implicit influences, ensuring the objectivity, fairness and efficiency of the scoring. It can automatically extract key behavioral patterns, improve assessment efficiency, reduce safety risks, and provide detailed scoring feedback and training suggestions.
Smart Images

Figure CN121883229B_ABST
Abstract
Citation Information
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