A method for constructing a port dangerous goods safety intelligent control report examination intelligent agent
By constructing a multimodal review dataset and evidence chain graph framework, and utilizing a red-blue adversarial self-game engine and a causal replay verifier for multidimensional inference, the problem of the inability to dynamically verify the operational process of dangerous goods reports in existing technologies has been solved. This has enabled intelligent review capabilities with deep causal reasoning and continuous evolution, thereby improving the level of intelligent management of port dangerous goods operations.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- TIANJIN RES INST FOR WATER TRANSPORT ENG M O T
- Filing Date
- 2026-06-12
- Publication Date
- 2026-07-17
AI Technical Summary
The existing port dangerous goods reporting review system cannot dynamically verify whether the operational process described in the report conforms to physical and chemical laws and standard operating procedures. Furthermore, there is a lack of deep causal correlation between the various modal data, making it impossible to discover deep logical contradictions between the report and the actual operational process, and it lacks the ability to continuously evolve.
We construct a multimodal review dataset and evidence chain graph framework, use a red-blue adversarial self-game engine to generate multi-level adversarial samples and continuously train through game, perform multi-dimensional inference through a causal replay verifier, and combine an evidence chain graph reasoning network and a memory palace experience inheritance system to generate risk superposition states and collapse decision suggestions, thereby achieving deep causal reasoning and continuous evolution.
It enables in-depth causal correlation verification of hazardous goods operation reports, can identify false reports, has continuous evolution capabilities, effectively discovers deep logical contradictions between reports and actual operation processes, and improves the level of intelligent management of port hazardous goods operation safety.
Smart Images
Figure CN122414969A_ABST