Digital research and development demand automatic disassembling method based on knowledge reasoning
By using improved GraphRAG retrieval and Reflexion iterative reasoning, combined with constraint set verification and shadow scheduling, standardized requirements and resource plans are generated, solving the problem of unification and traceability of requirement decomposition under multi-source input, and realizing efficient and reliable R&D requirement decomposition and plan generation.
CN121390756AActive Publication Date: 2026-01-23DAISY (SHANGHAI) SOFTWARE CO LTD
Patent Information
- Application Number
- CN202511561264.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-29
- Publication Date
- 2026-01-23
- Estimated Expiration
- 2045-10-29
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Figure CN121390756A_ABST
Abstract
The invention discloses a digital research and development demand automatic disassembling method based on knowledge reasoning. The method comprises the following steps: gathering multi-source demands, uniformly de-duplicating, and establishing a version baseline; a semantic graph is generated according to the standardized requirements, a support graph and a constraint set are constructed, and a resource portrait, historical measurement and a template library are formed; performing retrieval and sub-graph aggregation by using an improved GraphRAG model, completing alignment reasoning and outputting a fact set, a conflict list and a deletion list; the method comprises the following steps: generating a hierarchical task, dependency and priority by using an improved Reflexion algorithm, and performing shadow scheduling and acyclic verification to obtain an execution sequence table; generating a design / interface / test / verification / acceptance workpiece, and solving resources, milestones and key paths according to the design / interface / test / verification / acceptance workpiece; and a tracing link and an early warning mechanism are established, and rearrangement and resource redistribution are carried out when the time exceeds the limit. According to the method, the schedule forming time is shortened, the reworking and delay risks are reduced, and the workpiece coverage rate, the critical path controllability and the delivery traceability are improved.
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Citation Information
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