一种工业互联网数字场景轻量级模拟方法
By constructing an atomic model library and a directed acyclic causal graph, the scene is decomposed into simulation units for parallel computation, which solves the problems of high resource consumption, poor scalability and weak real-time interaction in existing technologies, and realizes efficient and scalable industrial digital scene simulation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- 北京中关村实验室
- Filing Date
- 2026-04-13
- Publication Date
- 2026-07-17
AI Technical Summary
Existing industrial scenario simulation methods are resource-intensive, have poor scalability, and weak real-time interactive capabilities, making it difficult to meet the simulation needs of large-scale, high-real-time scenarios.
An atomic model library is constructed, including attribute fields, causal rule sets, and state transition graphs. The scenario is decomposed into simulation units for parallel computation through a directed acyclic causal graph. State updates are performed in conjunction with the causal rule sets, and a bidirectional mapping between virtual device instances and external protocols is established to support real-time interaction and parameter correction.
It achieves efficient and scalable industrial digital scene simulation, reduces computing resource consumption, ensures simulation accuracy and real-time performance, and improves the interoperability and accuracy of the simulation system with the real industrial environment.
Smart Images
Figure CN122046994B_ABST