Lawn Mower Robot Boundary Positioning via Signal Inflection Analysis
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Solution Overview
Problem
Users face challenges in operating lawn mowers, particularly in busy lives, leading to increased costs from hiring outside help, and existing automatic robot lawn mowers struggle to effectively control their position within desired regions.
Innovation Solution
A lawn mower robot equipped with a boundary mark portion generating a specific signal and a receiving portion that analyzes the signal's waveform to determine its position relative to a boundary wire, using inflection points to identify whether it is inside or outside the operation region, allowing precise movement and operation within defined areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a robot lawn mower is used to automate lawn mowing, then user burden and hiring costs are reduced, but the ability to accurately control position within desired regions is insufficient
Solution Approach 1:
The patent introduces a boundary wire as an intermediary element that emits electromagnetic signals to define the working area boundaries. The receiving unit detects these signals to determine the robot's position relative to the boundary, enabling accurate position control without requiring complex external positioning infrastructure.
Solution Approach 2:
The patent replaces mechanical position sensing methods with electromagnetic signal-based detection. The boundary wire generates electromagnetic signals, and the receiving unit uses signal processing (detecting inflection points in waveform) to determine position, substituting mechanical encoders or physical markers with a more flexible electromagnetic field-based system.
2Device complexity
If simple boundary detection is used, then device complexity is reduced, but position identification accuracy inside/outside region is insufficient
Solution Approach 1:
The patent performs preliminary analysis of the received electromagnetic signal by detecting inflection points in the waveform before making position determination. This preliminary signal processing step extracts key features (inflection points) that reliably indicate boundary crossing, improving position identification accuracy without adding complex hardware.
Solution Approach 2:
The patent transitions from simple signal presence/absence detection to analyzing the temporal dimension of the signal waveform. By detecting inflection points in the time-domain waveform, the system gains additional information about the robot's position relative to the boundary, enabling more accurate inside/outside region determination.
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
Enables the lawn mower robot to accurately determine its position relative to the boundary wire, allowing it to operate efficiently within designated areas and reducing user burden and costs by automating lawn mowing tasks.
Implementation Method 1
a boundary mark portion which has a boundary wire generating a specific signal, and a main body which receives the signal generated by the boundary wire
Data Source
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AI summary
A lawn mower robot being operated within an operation region defined by a boundary mark portion which has a boundary wire generating a specific signal, comprising: a main body which receives the signal generated by the boundary wire and is driven in a certain region of the operation region.