Autonomous Dispersed Object Collection with Cluster-Based Work Areas
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Solution Overview
Problem
Existing self-running dispersed object collection systems face inefficiencies in vehicle navigation and battery consumption, leading to suboptimal collection performance and increased battery usage.
Innovation Solution
The system sets a working area by specifying aggregation regions and outermost dispersed objects to minimize unnecessary vehicle movement, coupled with optimized routing and battery management to reduce consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the vehicle runs based on predicted distribution of dispersed objects to collect more objects, then the collection quantity increases, but the vehicle may run without performing collection work, reducing efficiency
Solution Approach 1:
The system performs preliminary monitoring of dispersed object distribution using vision sensors before the vehicle starts collection. This advance information allows the vehicle to plan its route to only areas where objects are actually present, avoiding unnecessary running while ensuring collection quantity is maximized.
Solution Approach 2:
The system continuously monitors dispersed object distribution during operation and provides feedback to the vehicle control. This real-time feedback enables dynamic route adjustment, ensuring the vehicle always moves to locations where collection work can be performed, thereby maintaining high efficiency while collecting maximum quantity.
2Duration of action of moving object
If the battery load is increased to extend working time, then the vehicle can operate longer, but battery consumption increases, requiring more frequent charging
Solution Approach 1:
The system monitors battery charge level in advance and identifies charging opportunities before the battery is depleted. By proactively seeking charging points during the collection process, the vehicle can extend its working time without excessive battery consumption, as it avoids high-power operations when charge is low.
Solution Approach 2:
The vehicle dynamically adjusts its collection strategy based on real-time battery status. When battery charge is sufficient, it intensifies collection operations; when charge drops below thresholds, it automatically reduces power consumption and prioritizes movement to charging locations, thereby optimizing the balance between working time and battery consumption.
3Quantity of substance
If the vehicle runs longer distance to collect more dispersed objects, then collection quantity increases, but battery consumption increases
Solution Approach 1:
Instead of uniformly searching the entire working area, the system applies different collection strategies to different local regions based on monitored object distribution. The vehicle concentrates its efforts in areas with high object density, reducing travel distance to low-density areas while maintaining overall collection quantity, thereby lowering total battery consumption.
Solution Approach 2:
The system continuously monitors both object distribution and vehicle position, providing feedback that enables real-time optimization of the collection path. This feedback mechanism ensures the vehicle takes the most energy-efficient route to reach clusters of objects, maximizing collection quantity while minimizing the running distance and associated battery consumption.
Data Source
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AI summary
A specific measure for increasing the work efficiency of recovery work by reducing, to the greatest extent possible, travel of a machine body while the machine body is not performing work to recover dispersed objects is presented, and a work area is set for an electric recovery device so as to take into consideration battery consumption, in order to make work effectively more efficient. This dispersed object recovery device is provided with an electric machine body that travels autonomously within an activity area along a set travel path, the machine body is made to depart from a collection site to travel autonomously within a set work area so that dispersed objects dispersed within the work area are accommodated in an accommodation section provided inside or outside the machine body and recovered to the collection site, and the work area is set as a closed region following the locations of the outer edge of the dispersed objects in an aggregation range where a plurality of the dispersed objects are densely clustered.