The application discloses a kind of based on mechanical
processing work order
verification and intelligent completion method of multi-agent cooperation, comprising: obtaining the multi-source heterogeneous data of mechanical
processing field, process semantic embedding model is trained using knowledge
distillation technology, extract hidden space representation and construct
processing cognitive atlas;Establish a multi-agent collaborative framework, multi-
dimensional analysis is carried out on the original work order data, and a multi-layer semantic
hypergraph is generated;Based on the process cognitive atlas and the multi-layer semantic
hypergraph, the process causal diagram of the work order to be checked is constructed, the processing result distribution is predicted by intervention calculation, and the risk contribution degree is quantified, the
root cause elements are located to generate the work order
verification report;With the
verification report and physical constraint as input, the
diffusion model is used for conditional generation and
simulation of different decision preferences, and the work completion decision reasoning path set is obtained;Generate candidate completion work order, optimize abnormal scheme through digital twin rehearsal, finally filter and generate the mechanical processing work order that passes verification and completion, improve the efficiency and accuracy of data import.