Inspection system and method for garbage classification management personnel
Through the drone and manual collaborative inspection system, the inspection route is dynamically planned using clustering and greedy algorithms, which solves the problem that the inspection route fixed in the existing technology is difficult to cope with temporary needs, and improves the efficiency and management convenience of garbage classification inspection.
CN119721425AActive Publication Date: 2025-03-28AZURE FLYING (ZHEJIANG) SCIENCE TECHNOLOGY CO LTD +1
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Patent Information
- Application Number
- CN202510216587.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-26
- Publication Date
- 2025-03-28
- Estimated Expiration
- 2045-02-26
AI Technical Summary
Technical Problem
In the existing garbage classification management, the inspection routes are fixed, making it difficult to deal with temporary needs, resulting in inefficient management and inconvenient work for managers.
Method used
UAVs and manual collaborative inspection systems are adopted to plan inspection routes in real time through clustering algorithms and greedy algorithms to ensure dynamic adjustment of routes for drones and inspection personnel, covering all inspection points.
Benefits of technology
It improves the efficiency of garbage sorting inspection, facilitates management of management personnel, and can flexibly respond to temporary inspection needs.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention discloses an inspection system and method for garbage classification management personnel, and belongs to the technical field of garbage classification. The invention relates to an inspection method for garbage classification management personnel, which comprises the following steps: determining all inspection points and inspection main bodies in a management area, spatializing the management area based on the inspection points, and marking a plurality of discrete inspection points N on the management area; according to the spatialized management area, the interior of the management area can be divided into a plurality of area clusters through a clustering algorithm, an inspection route of an inspection main body is planned through a greedy algorithm, and the inspection main body completes inspection of one inspection point and uploads a corresponding inspection record; the inspection of all inspection points is completed; the inspection point can be inspected through cooperation of the unmanned aerial vehicle and manpower, the route of the unmanned aerial vehicle and the inspection personnel is planned in real time, the inspection efficiency is improved, and the management of the management personnel is facilitated.
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