Smart city cleaning route management method, internet of things system and storage medium
The smart city cleaning route management IoT system optimizes cleaning routes by estimating the amount and range of fallen leaves, solving the problems of high cost and low efficiency caused by manual zoning, and achieving efficient and low-cost urban road cleaning.
CN115423172BActive Publication Date: 2025-12-16CHENGDU QINCHUAN IOT TECH CO LTD
Patent Information
- Application Number
- CN202211044509.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-08-30
- Publication Date
- 2025-12-16
- Estimated Expiration
- 2042-08-30
AI Technical Summary
Technical Problem
The current urban road cleaning method relies on manual zoning, which leads to high sanitation costs, high labor intensity and low cleaning efficiency.
Method used
The smart city cleaning route management IoT system is adopted. By acquiring road monitoring information, weather information and roadside tree information of the target area, machine learning models are used to estimate the amount and range of fallen leaves, determine the cleaning difficulty assessment value, and optimize the cleaning route.
Benefits of technology
It improves cleaning efficiency, reduces sanitation costs, reduces labor intensity, and adapts to different cleaning needs, such as snow or other objects to be cleaned.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN115423172B_ABST
Abstract
The embodiment of the specification provides a smart city cleaning route management method, an Internet of Things system and a storage medium. The method comprises the following steps: obtaining target information of a target area in a preset time period based on an object platform; sending the target information of the target area to a management platform through a sensing network platform; processing the target information of the target area based on the management platform, and determining a cleaning route of the target area, comprising: determining an estimated leaf fall amount of each road in the target area according to the target information; determining an estimated drifting range of fallen leaves of each road in the target area according to the target information and the estimated leaf fall amount; determining a cleaning difficulty evaluation value of each road based on the estimated leaf fall amount and the estimated drifting range of each road; and determining a cleaning route based on the cleaning difficulty evaluation value of each road.
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Citation Information
Patent Citations
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