Self-Moving Device Return Path Reuse for Precise Boundary Navigation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional autonomous lawn mowers and virtual electronic pet collars face challenges with boundary detection precision and complexity in navigation due to positional offsets and interference, leading to potential safety issues and inefficient operations.
Innovation Solution
A method for a self-moving device to autonomously return to a target position within a working region by acquiring its current position, selecting an optimal path, determining reuse status, and adjusting the path as needed, while utilizing differential positioning technology to simplify navigation and improve precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If satellite positioning is used for virtual electronic pet collar, then positioning coverage is extended, but positioning precision deteriorates to approximately 10 meters due to atmospheric errors, satellite clock errors, and multipath effects
Solution Approach 1:
The patent introduces a base station as an intermediary component that receives satellite positioning signals and generates correction values. This base station acts as a mediator between the satellite positioning system and the mobile station, providing differential correction data that eliminates atmospheric and satellite clock errors, thereby achieving centimeter-level positioning precision while maintaining wide coverage
Solution Approach 2:
The system implements feedback by having the base station continuously monitor satellite positioning signals and generate real-time correction values based on known precise positions. These correction values are fed back to mobile stations through communication modules, enabling continuous refinement of positioning accuracy throughout the working region
2Adaptability or versatility
If base station moves to a new position, then system adaptability improves, but navigation complexity increases due to position coordinate offsets requiring map regeneration
Solution Approach 1:
The system performs preliminary action by establishing a coordinate transformation relationship between the base station's original position and new position before actual movement occurs. The mobile station is pre-configured with transformation algorithms that automatically adjust coordinate systems when base station position changes, eliminating the need for map regeneration and reducing navigation complexity
Solution Approach 2:
The patent applies parameter changes by dynamically adjusting coordinate system parameters (origin position, orientation) when the base station moves. Instead of regenerating the entire working region map, the system only needs to change the coordinate reference parameters, which are then used to transform all position coordinates automatically, significantly simplifying the adaptation process
3Ease of operation
If conventional virtual electronic pet collar positioning is used, then deployment simplicity is maintained, but safety deteriorates due to low positioning precision causing pets to get lost
Solution Approach 1:
The base station serves as an intermediary that bridges the simplicity of satellite positioning with the precision requirements for pet safety. It receives simple satellite signals and transforms them into high-precision correction data through differential processing, maintaining ease of deployment while dramatically improving reliability to prevent pets from getting lost
Solution Approach 2:
The system replaces the purely satellite-based mechanical positioning system with a differential positioning system that uses ground-based reference (base station) to correct errors. This substitution transforms the positioning mechanism from direct satellite-to-receiver to satellite-to-base-station-to-receiver, achieving centimeter-level precision while maintaining operational simplicity through automated correction processes
Data Source
AI summary
A returning method of a self-moving device, a self-moving device are provided. In the returning method, a self-moving device autonomously moves inside a working region based on a map. Specifically, the method includes: acquiring a current position of the self-moving device in the working region; selecting a return path to a target position according to the current position; determining a reuse status of the return path, determining, based on the reuse status of the return path, whether to reselect a return path; and enabling the self-moving device to return to the target position along the selected return path.