一种环卫作业任务的多目标动态调度方法及系统
By constructing a scheduling process of state perception, anchor point resolution, reverse path finding, multi-dimensional evaluation, and instruction closed loop, the problem of resetting path planning for sanitation vehicles in a directed road network has been solved. This has enabled efficient and reliable response to sanitation emergencies and seamless connection of the operation chain, thereby improving scheduling efficiency and intelligence.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- TIANJIN CHANGLU HAIJING GRP CO LTD
- Filing Date
- 2026-04-22
- Publication Date
- 2026-07-17
AI Technical Summary
Existing vehicle scheduling methods fail to effectively account for road direction constraints and resource consumption differences of sanitation vehicles, leading to problems such as infeasible reset paths, travel cost estimations deviating from reality, or insufficient vehicle resources to complete closed-loop tasks during actual implementation of scheduling schemes.
This paper provides a multi-objective dynamic scheduling method and system for sanitation operations. The system obtains vehicle status information through an information perception module, determines the task connection anchor point and remaining workload through a status analysis module, plans a closed-loop path in a directed road network through a path planning module, evaluates the scheduling cost through a cost assessment module, and selects the target vehicle and issues instructions through a decision scheduling module. This system constructs a scheduling process of status perception, anchor point analysis, reverse path finding, multi-dimensional evaluation, and instruction closed loop.
It enables efficient and reliable response to sudden sanitation tasks under the constraints of complex urban road networks and seamless connection with the original operation chain, thereby improving the overall scheduling efficiency and system intelligence level of sanitation operations.
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Abstract
Citation Information
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