2 results about "Process logic" patented technology

The invention provides a vehicle body heterogeneous data alignment and vertical domain model fine tuning method, relates to the technical field of industrial data processing and vehicle artificial intelligence, and aims to solve the problem that the incubation period quality risk induced by complex physical causes is difficult to early warn in the prior art. The method comprises the following steps: acquiring a logic difference between an actual process sequence and a reference sequence as first data; responding to a specific event, synchronously acquiring a multi-modal physical signal, and calculating physical characteristics of the multi-modal physical signal as second data; fusing the first data and the second data through a preset causal association probability model to generate an indication signal representing the risk, such as a causal inertia index CII; and finally, according to whether the indication signal satisfies a dynamic risk condition, a differentiated linkage fine tuning instruction is generated. According to the method, dynamic and self-adaptive early warning of potential quality risks is realized through deep fusion of process logic and physical processes, and the refined management and control level of the manufacturing process is improved.

This invention relates to a causal consistency long-chain reasoning method based on structured semantic parsing, comprising a semantic structured representation module for decomposing complex tasks into structured semantic units with causal relationships; a causal consistency reasoning module, which mainly constructs a multi-stage causal reasoning graph to logically model and divide the task execution path into stages; and a path evaluation and error correction module, which performs confidence evaluation and logical verification of intermediate states during the reasoning process. This invention constructs a causal consistency long-chain reasoning mechanism based on structured semantic parsing, achieving interpretability of reasoning steps, verifiability of process logic, and error-correcting capability of the reasoning path through structured modeling of the reasoning process.