Mobile digital patrol path optimization method, system and device
By obtaining construction area information, human-machine density information and weather information, determining the risk value of the construction area and generating the optimal inspection path, the problem of difficult timely and dynamic adjustment of inspection paths in the existing technology is solved, and inspection efficiency and dynamic adaptability are improved.
CN119090109BActive Publication Date: 2025-03-18WENZHOU ZHUCHENG TRAFFIC ENG SUPERVISION CO LTD
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Patent Information
- Application Number
- CN202411584093.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-07
- Publication Date
- 2025-03-18
- Estimated Expiration
- 2044-11-07
AI Technical Summary
Technical Problem
The existing technology is difficult to adjust the mobile digital inspection path in a timely and dynamic manner, resulting in low inspection efficiency.
Method used
By obtaining information on the construction area, human-machine density information and weather information, the risk value of each construction area is determined, and the optimal inspection path is generated based on the risk value and geographical information.
Benefits of technology
Dynamic adjustment of inspection paths has been achieved, inspection efficiency has been improved, path detours and repeated inspections have been reduced, and time and resource costs have been reduced.
✦ Generated by Eureka AI based on patent content.
Abstract
The present application is applicable to the field of path optimization technology, and in particular to a method, system and device for optimizing a mobile digital patrol path, the method comprising: obtaining construction area information, human-machine density information and weather information; wherein the construction area information comprises the geographic information of each construction area, the progress information of each construction area and the risk information of each construction area, and the human-machine density information is used to characterize the distribution of construction personnel and construction equipment in each construction area; based on the construction area information, the human-machine density information and the weather information, determining the risk value of each construction area; generating the optimal patrol path for mobile digital patrol according to the risk value of each construction area and the geographic information of each construction area. This method improves the efficiency of mobile digital patrol and the dynamic adaptability of mobile digital patrol.
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