Autonomous Work Machine Perimeter Lapping for No-Work Area Mapping
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional autonomous work machines may fail to accurately reflect the shape of no-work areas in their maps, leading to incorrect progress calculations when such areas are present in the work area.
Innovation Solution
An autonomous work machine equipped with a specification unit to determine its self-position, a determination unit to identify the perimeter of no-work areas, and a control unit to perform a lap along the perimeter of these areas, ensuring accurate mapping and progress calculation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the autonomous work machine uses a simple area wire detection method to detect magnetic field strength, then the detection process is simple, but the shape of no-work areas is not accurately reflected in the work area map
Solution Approach 1:
The autonomous work machine performs a preliminary lap along the perimeter portion of the no-work area before conducting the main work. This preliminary action allows the machine to detect and record the shape of the no-work area boundary, which is then used to accurately update the work area map and calculate progress, resolving the issue of inaccurate no-work area shape representation
Solution Approach 2:
The system implements a feedback mechanism where the autonomous work machine detects its position relative to the area wire, determines when it has reached the perimeter portion of a no-work area, and uses this information to update the work area map. The progress calculation is then feedback-adjusted based on the excluded no-work area shape, ensuring accurate progress tracking
2Device complexity
If the work area map does not reflect the shape of no-work areas, then the map generation is simpler, but the work progress calculation becomes inaccurate
Solution Approach 1:
The system performs a preliminary detection lap along the no-work area perimeter before main work begins. During this lap, the autonomous work machine collects position information and detects the shape of the no-work area boundary, storing this data for later use in progress calculation, thus preparing accurate map data in advance
Solution Approach 2:
The progress calculation system continuously receives feedback from the work area map data. When the autonomous work machine completes work, the system calculates progress by comparing the completed area against the total work area minus the no-work area shapes stored in the map, ensuring accurate progress tracking that accounts for excluded regions
3Loss of time
If the autonomous work machine does not perform a lap along the perimeter, then the operation time is shorter, but the perimeter shape specification is inaccurate
Solution Approach 1:
The autonomous work machine performs a concentrated preliminary lap along the no-work area perimeter at the beginning or during idle periods, rather than continuously during main work. This preliminary action captures the perimeter shape data needed for accurate mapping, minimizing the impact on overall operation time while ensuring precision
Solution Approach 2:
The system uses feedback from position detection during the lap to continuously refine the perimeter shape specification. The detected position information is fed back to update the work area map in real-time, ensuring accurate perimeter representation even with minimal lap time
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution allows for precise specification of the perimeter shape of no-work areas, enabling accurate work area mapping and progress tracking by reflecting the shape of no-work areas in the work area maps, thus preventing underestimation of work progress.
Implementation Method 1
detects a magnetic field strength of an area wire arranged on the periphery of a work area and travels while detecting an interval distance from the area wire based on the detected magnetic field strength
Data Source
AI summary
An autonomous work machine that works in a work area while autonomously traveling in the work area, comprises a specification unit configured to specify, based on information of a position detection unit configured to detect position information, a self-position of the autonomous work machine, a determination unit configured to determine, based on the self-position, whether the autonomous work machine has reached a perimeter portion of a no-work area positioned within the work area, and a control unit configured to control the autonomous work machine to do a lap along the perimeter portion in a case in which the autonomous work machine is determined to have reached the perimeter portion.