Pet Collar Positioning Correction for Virtual Boundary Accuracy
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Solution Overview
Problem
Conventional electronic pet collars are susceptible to interference and have low positioning precision, leading to potential pet loss and safety issues.
Innovation Solution
A pet collar system that uses satellite positioning data and a base station to perform positioning correction processing, eliminating interference factors and achieving centimeter precision by sending a positioning error correction value, which determines if the pet is within a preset boundary and outputs an alarm signal to prevent boundary crossing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional satellite positioning is used for virtual electronic pet collars, then the system is simple and does not require physical boundary lines, but positioning precision is low (approximately 10 meters) and susceptible to interference
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 pet collar, transforming the low-precision satellite signals into high-precision relative position information through differential correction, thereby resolving the contradiction between system simplicity and positioning precision
Solution Approach 2:
The patent implements a feedback mechanism where the base station continuously receives satellite positioning data, calculates correction values based on known precise coordinates, and transmits these corrections back to the pet collar. This closed-loop feedback system enables the pet collar to continuously adjust its position calculations, maintaining centimeter-level precision throughout operation
2Adaptability or versatility
If base station moves, then the system remains mobile and adaptable, but position coordinates have offset requiring map regeneration
Solution Approach 1:
The patent employs dynamic coordinate transformation that automatically adapts when the base station moves. Instead of requiring static pre-configured maps, the system dynamically recalculates relative position coordinates based on the base station's current location, allowing the virtual boundary system to automatically adjust and remain accurate regardless of base station position changes
Solution Approach 2:
The patent inverts the traditional approach by making the base station's position the reference point rather than using fixed geographic coordinates. All position calculations are performed relative to the base station's current location, so when the base station moves, the entire coordinate system automatically shifts with it, eliminating the need for map regeneration
Data Source
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AI summary
The present invention provides a returning method of a self-moving device, a self-moving device, a memory, and a server. In the returning method of the present invention, 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. In the returning method of the present invention, a return path is selected to enable a self-moving device to reliably return to a target position. It is determined, according to a reuse status of a return path, whether to reselect a return path, so as to prevent a robot from repeatedly moving along a same segment of path to crush a lawn, thereby ensuring the beauty of the lawn.