Pet Energy Estimation Using Activity and Body Weight Correction
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Solution Overview
Problem
The existing technology for managing pet health by calculating feed quantity based on animal activity is not accurate enough.
Innovation Solution
A method and system that acquires activity data from pets, calculates exercise consumption energy, corrects estimated consumption energy using this data, and outputs information for more accurate health management, including recommended feed quantities based on body weight and life stage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If feed quantity is calculated based only on animal activity data, then the calculation process is simple, but the accuracy of feed quantity calculation is insufficient
Solution Approach 1:
The patent combines multiple calculation approaches by merging activity-based consumption energy calculation with body weight-based estimation consumption energy calculation. The correction process integrates both data sources to produce a more accurate total consumption energy value, resolving the contradiction between simple calculation and accurate results.
Solution Approach 2:
The patent implements a feedback mechanism where the estimated consumption energy based on body weight serves as a reference to correct the activity-based consumption energy calculation. This feedback loop adjusts the final feed quantity recommendation to align with actual energy needs, improving accuracy while maintaining calculation efficiency.
2Measurement precision
If multiple parameters (activity data and body weight) are used to calculate consumption energy, then the accuracy of health management information is improved, but the calculation complexity increases
Solution Approach 1:
The patent segments the consumption energy calculation into distinct components: activity-based exercise consumption energy and body weight-based estimation consumption energy. Each component is calculated separately using appropriate formulas and data sources, then combined through correction processing to achieve high accuracy without overwhelming complexity.
Data Source
AI summary
According to the present disclosure, a method includes, wherein a processor, acquiring an activity quantity data of an animal, calculating an exercise consumption energy quantity of the animal based on the activity quantity data, calculating an estimation consumption energy quantity of the animal based on an information of a body weight of the animal, correcting the estimated consumption energy quantity of the animal using the exercise consumption energy quantity of the animal, and outputting an information related to the corrected estimation consumption energy quantity.