Self-Moving Mower Virtual Boundaries for Obstacle Avoidance
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Solution Overview
Problem
Traditional self-moving mowing systems face challenges with obstacles in the mowing area, such as trees and stones, which can damage the system and lead to unintended mowing of areas like flower beds. These systems lack the ability to detect and avoid specific areas or obstacles within the mowing area.
Innovation Solution
The proposed self-moving mowing system incorporates an image acquisition module to capture real-time images of the mowing area, including obstacles. A display module shows these images or simulated scenes, allowing users to generate virtual boundaries and obstacles. The system can then be controlled to operate within these virtual boundaries, avoiding actual obstacles and specific areas that should not be mowed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional self-moving mowing system operates autonomously without user intervention, then user convenience is improved, but the system cannot detect and avoid specific areas or obstacles, leading to unintended mowing and damage
Solution Approach 1:
The system creates a virtual copy of the physical environment by generating a simulated scene image that replicates the real-world mowing area, obstacles, and boundaries. This virtual model allows the system to plan and verify mowing paths before execution, enabling autonomous operation while maintaining reliability through virtual-reality-based obstacle detection and avoidance planning.
Solution Approach 2:
The simulated scene image serves as an intermediary between the real physical environment and the control system. By processing and analyzing this virtual representation, the system can identify obstacles, define no-mowing zones, and generate safe operating paths without direct real-time sensing interference, thus improving both convenience and reliability.
2Productivity
If the system mows the entire detected area autonomously, then productivity is improved, but obstacles cause damage to the system and reduce reliability
Solution Approach 1:
The system performs preliminary analysis of the mowing area by generating a simulated scene image before actual mowing operations begin. This advance planning allows identification of all obstacles and no-mowing zones beforehand, enabling the system to adjust its path in advance and avoid collisions, thus maintaining high productivity while ensuring system durability through pre-planned safe operation.
3Ease of operation
If the system autonomously identifies mowing boundaries, then ease of operation is improved, but measurement precision of boundaries and obstacles may be insufficient, leading to unintended mowing
Solution Approach 1:
The system creates a precise virtual replica of the physical environment including boundaries and obstacles in the simulated scene image. This virtual model allows for accurate boundary definition and verification before actual mowing, enabling autonomous operation with high measurement precision by comparing virtual boundary data against real-world features.
Data Source
AI summary
A self-moving mowing system includes: an actuating mechanism having a mowing assembly configured to achieve a mowing function and a moving assembly configured to achieve a moving function; an image acquisition module capable of acquiring a real-time image of a mowing area; a display module configured to display the real-time image or a simulated scene image generated according to the real-time image; a receiving module configured to receive an instruction input by a user; an obstacle generation module configured to generate, according to the instruction input by the user, a first virtual obstacle identifier so as to form a first fusion image; and a control module electrically connected or communicatively connected to a sending module, where the control module is configured to control the actuating mechanism to avoid the first virtual obstacle identifier in the first fusion image.