Animal Position Validation in Delimited Housing Areas
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Solution Overview
Problem
Existing animal location systems often inaccurately determine the position of animals near the boundary of physically delimited areas, leading to unreliable information being displayed to users, as the systems may incorrectly place animals outside these areas due to measurement inaccuracies.
Innovation Solution
A method that validates and corrects the determined position of autonomously mobile objects within animal housing by comparing it with stored boundary data, ensuring the position is displayed within the assigned physically delimited area, thereby providing a more reliable management system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the animal location system determines position using measurement techniques, then the location can be obtained, but the position may be inaccurate near boundaries causing unreliable information
Solution Approach 1:
The system pre-stores boundary data representing physical boundaries of delimited areas before position determination occurs. When an animal's position is determined, the system proactively compares the position with the pre-stored boundary data and corrects it if necessary, rather than waiting for errors to manifest. This preliminary preparation of boundary information enables automatic correction of boundary-related positioning errors.
Solution Approach 2:
The system implements a feedback mechanism where the determined position is continuously validated against stored boundary data. If the position falls outside the physically delimited area (indicating a boundary error), the system automatically feeds back a corrected position to the display, ensuring reliable information is always presented to the user.
2Device complexity
If the system displays determined positions directly without validation, then the display is simple, but misleading information may be shown to users
Solution Approach 1:
The system performs self-validation by automatically comparing determined positions with pre-stored boundary data and correcting errors without requiring manual intervention. The validation and correction process is autonomous, with the system serving itself to ensure accuracy, thereby maintaining simplicity while improving reliability.
3Reliability
If position correction is performed for all cases, then reliability is improved, but processing time and complexity increase
Solution Approach 1:
The system applies partial correction by validating all positions against boundary data but only correcting those that fall outside the physically delimited area. This selective approach avoids unnecessary processing of already-correct positions while ensuring all potentially erroneous positions are corrected, optimizing the balance between reliability and processing efficiency.
Data Source
AI summary
A method of and system for localizing, and displaying positions of, one or more autonomously mobile objects within plural physically delimited areas, having physical boundaries, in an animal housing. The method includes determining a position of at least one of the objects within the animal housing; displaying the position of the at least one object on a map of the animal housing on a visual display device; and validating the determined position before displaying the position. The validating includes: correcting the determined position into a corrected position within the physically delimited area, and providing the corrected position as the position to be displayed, or otherwise providing the determined position as the position to be displayed. The correction may be dependent on object type and/or status.