Pet Nutrition System Using Sensor Data for Recipe Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
It is challenging for pet owners to provide nutritionally balanced food for their pets as human food often contains high-calorie or imbalanced ingredients that can be harmful, and determining the appropriate amount of food is difficult due to various factors such as the pet's kind, growth stage, and activity level.
Innovation Solution
A system that collects pet health information, including kind, growth stage, activity level, and sensor data, to determine the optimal recipe and amount of food supply, using a storage unit to store nutrient requirements and material information, and a recipe providing unit to calculate and adjust the food supply based on this data, excluding harmful ingredients.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If human food is provided to pets, then pets can eat familiar food, but the food may contain high-calorie or imbalanced ingredients that are harmful to pets
Solution Approach 1:
The system extracts and excludes harmful ingredients from recipes by maintaining a database of pet-safe and harmful materials. The recipe providing unit filters out ingredients that are harmful to pets while preserving convenient feeding options.
Solution Approach 2:
The system changes the nutritional parameters of recipes by adjusting the types and amounts of ingredients based on pet-specific requirements. It transforms human food recipes into pet-appropriate recipes by modifying composition parameters while maintaining ease of preparation.
2Reliability
If food is provided in consideration of pet kinds and states, then nutritional appropriateness improves, but it is difficult to accurately determine the amount of food provided
Solution Approach 1:
The system uses feedback from sensors attached to pets that monitor activity levels, motion, and other physiological parameters. This real-time data feeds back to the recipe providing unit, which adjusts the recommended food amount accordingly, enabling precise determination of appropriate portions.
Solution Approach 2:
The system makes the food amount determination dynamic by continuously adjusting recommendations based on changing pet conditions. The recipe amount is not fixed but adapts in real-time based on sensor data regarding pet activity, growth stage, and health status.
3Reliability
If comprehensive pet information is collected to determine optimal recipe amounts, then nutritional optimization improves, but system complexity increases
Solution Approach 1:
The system achieves multi-functionality by using a single integrated platform that handles information collection, storage, analysis, and recipe generation. The server performs multiple functions including storing pet information, managing recipe databases, analyzing sensor data, and providing customized recommendations, thereby reducing overall system complexity despite comprehensive data collection.
Data Source
AI summary
The present invention relates to a system for providing nutritional balance based on pet health information, and more particularly, to a system for providing nutritional balance based on pet health information, which determines the amount of supply of a recipe in consideration of pet information, such as the kind, a growth stage, and an activity stage of a pet, and the amount of motion of a pet obtained from a sensor attached to a pet, thereby providing an optimum recipe and amount.