Robotic Lawn Mower Journey Comparison for Slip and Skid Response
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Solution Overview
Problem
Robotic lawn mowers experience reduced efficiency due to slipping or skidding on uneven or wet ground, and sliding on slopes, which can lead to prolonged states of inefficiency if not addressed promptly.
Innovation Solution
The robotic lawn mower incorporates a detection system that calculates motion parameters using first and second detection modules, determining differences in journey values to trigger a response program via a control module, including correction mechanisms to adjust actual distances and alert users through an alarm module, thereby preventing prolonged inefficiencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the robotic lawn mower operates on uneven or wet ground without detection and correction mechanisms, then it can maintain simple operation and structure, but it will experience prolonged slipping or skidding states that reduce working efficiency
Solution Approach 1:
The system performs preliminary detection of motion parameters and journey differences before slipping or skidding can significantly impact efficiency. By continuously monitoring wheel rotation distances and comparing them against expected values, the system identifies potential slip conditions early and triggers correction actions before they become prolonged inefficiencies.
Solution Approach 2:
The system implements a feedback mechanism where the detected journey difference between actual wheel rotation and expected rotation is continuously monitored. When the difference exceeds a threshold, the system sends correction instructions to adjust wheel rotation, creating a closed-loop control system that automatically responds to slipping or skidding conditions and restores efficient operation.
2Productivity
If the robotic lawn mower operates on slopes without detection mechanisms, then it can maintain simple structure, but it will experience prolonged skidding or sliding states that reduce working efficiency
Solution Approach 1:
The system uses the robotic lawn mower's own motion parameters and wheel rotation data to detect slipping or skidding conditions. By comparing the journey calculated from wheel rotation against the actual displacement, the system self-diagnoses traction issues without requiring external detection equipment, enabling autonomous detection and correction of slope-related skidding.
3Measurement precision
If the robotic lawn mower uses journey difference detection to identify slipping or skidding, then it can accurately detect failure states, but it requires multiple detection modules and complex control logic
Solution Approach 1:
The detection system serves multiple functions: it calculates journey based on wheel rotation, compares this against actual displacement to detect slipping or skidding, determines the type of failure (slip vs. skid), and triggers appropriate correction actions. This multi-functional approach allows accurate failure detection while reducing the need for separate specialized sensors for each detection task.
Data Source
AI summary
A robotic lawn mower includes 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 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. When the difference 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.