Robotic Lawn Mower Slip Detection via Journey Comparison
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Solution Overview
Problem
Robotic lawn mowers experience reduced efficiency due to slipping, skidding, or sliding on uneven or wet ground, which is not effectively addressed by current technologies.
Innovation Solution
A robotic lawn mower equipped with detection modules to monitor motion parameters, calculate journeys, and determine differences between body and drive assembly journeys, triggering response programs when deviations exceed preset values to correct distance and prevent prolonged slipping or sliding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the robotic lawn mower uses conventional motion detection without comparison, then the detection system is simple, but the failure detection accuracy is low
Solution Approach 1:
The detection system is segmented into two independent modules: a first detection module for detecting body motion parameters and a second detection module for detecting drive assembly motion parameters. This segmentation allows each module to specialize in specific measurements, improving overall detection accuracy while maintaining manageable complexity through modular design.
Solution Approach 2:
The system implements feedback by continuously comparing the first journey (from body detection) with the second journey (from drive assembly detection). The failure determination module uses this feedback loop to identify discrepancies that indicate slipping, skidding, or sliding, thereby improving failure detection accuracy through real-time comparison.
2Productivity
If the robotic lawn mower does not implement response actions, then the control system is simple, but the working efficiency is reduced due to prolonged slipping or sliding
Solution Approach 1:
The system performs preliminary actions by executing response programs immediately when failures are detected. The execution module pre-prepared response programs are activated to correct slipping, skidding, or sliding conditions, preventing prolonged inefficiency and maintaining high productivity through proactive correction.
Solution Approach 2:
The robotic lawn mower implements self-service through automatic response execution. When the failure determination module detects issues, the execution module automatically performs correction actions without human intervention, enabling the system to self-correct and maintain optimal working efficiency independently.
Data Source
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AI summary
Provided is a robotic lawn mower including a mowing element, a body, a drive assembly, a first detection module, a second detection module, a failure determination module, an execution module, and a control module. The drive assembly includes walking wheels and a motor. The first detection module detects a first journey of the robotic lawn mower in a period. The second detection module detects a motion parameter of the drive assembly in the period and calculates a second journey of the robotic lawn mower in the period. The failure determination module determines whether a difference between the second journey and the first journey is greater than or equal to a first preset value. The execution module drives the robotic lawn mower to execute a response program. The control module is separately connected to the failure determination module and the execution module. When the difference between the second journey and the first journey is greater than or equal to the first preset value in each of n1 consecutive periods, the control module controls the execution module to execute the response program.