封闭场地测试车辆调度方法、装置、设备及介质
By constructing chromosome coding rules and optimizing test vehicle scheduling using genetic algorithms, the problem of low scheduling efficiency for test vehicles in closed test sites was solved, and efficient automated scheduling was achieved in large-scale and diverse test scenarios.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ZHONG QI YAN KE JI YOU XIAN GONG SI
- Filing Date
- 2025-09-16
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies have low efficiency in scheduling test vehicles in closed test sites, especially in large-scale and diverse test scenarios, which requires a lot of manpower and makes it difficult to achieve efficient test vehicle scheduling.
By acquiring multi-dimensional information about the test vehicles, chromosome coding rules are constructed, an initial population containing multiple chromosomes is created, and the scheduling and allocation of test vehicles are optimized through selection, crossover, and mutation operations in genetic algorithms, thereby achieving parallelization and compactness of the testing process.
It significantly improves testing efficiency in large-scale and diverse testing scenarios, reduces reliance on manual planning, and achieves automated test vehicle scheduling.
Smart Images
Figure CN121168982B_ABST