Method and system for tracing unconventional water source problem by using knowledge graph
By using knowledge graphs to construct problem-related transmission chains in the tracing of unconventional water source issues and calculating the influence attenuation coefficient of semantic related edges, the problem of inaccurate tracing in existing technologies is solved, achieving efficient and accurate tracing results and improving the stability and efficiency of water source development and utilization.
Patent Information
- Application Number
- CN202610041726.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-01-13
- Publication Date
- 2026-05-29
AI Technical Summary
Existing technologies rely on human experience and simple data analysis in tracing the source of unconventional water source problems, making it difficult to comprehensively and accurately identify the root causes of the problems. They also lack systematicity and standardization, resulting in inaccurate and in-depth tracing results.
A method for tracing the root causes of unconventional water source problems is constructed using knowledge graphs. By acquiring problem representation information and mapping it to a pre-built knowledge graph, a problem association transmission chain is constructed, the influence attenuation coefficient of semantic association edges is calculated, an attenuation coefficient matrix is generated, effective transmission paths are screened, and the root cause of the problem is traced.
It improves the accuracy and efficiency of tracing the source of unconventional water source problems, enabling accurate identification of the root causes of problems from a holistic perspective, improving development and utilization efficiency and stability, and reducing operation and maintenance costs.