Adaptive Nutritional Conditioning With Quality Tracking Feedback
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The food and beverage industry lacks a comprehensive system to track, manage, and communicate changes in the nutritional, organoleptic, and aesthetic values of nutritional substances throughout their lifecycle from creation to consumption, leading to inefficiencies and a lack of information available to consumers and industry participants.
Innovation Solution
A system that uses sensors and dynamic information identifiers to collect, store, and transmit data on nutritional, organoleptic, and aesthetic values, allowing for adaptive storage and conditioning of nutritional substances, and providing consumers with real-time feedback and updates on the quality and origin of their products.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional storage and conditioning methods are used for nutritional substances, then the process is simple and device complexity is low, but nutritional value degradation occurs and information tracking is lost
Solution Approach 1:
The system segments the nutritional substance handling process into multiple conditional stages (e.g., different temperature zones, humidity levels, gas atmospheres) that can be independently controlled and monitored. Each segment addresses specific degradation risks while maintaining overall system manageability through modular conditioning chambers and separate sensor systems for different parameters.
Solution Approach 2:
The system implements continuous feedback loops where sensors monitor nutritional substance characteristics (color, texture, composition) in real-time, and this data feeds back to automatically adjust conditioning parameters. This closed-loop control maintains nutritional quality by dynamically responding to degradation trends while providing traceability information.
2Loss of information
If comprehensive tracking and monitoring systems are implemented, then information availability and measurement precision improve, but device complexity and cost increase
Solution Approach 1:
The system employs multi-functional sensors and devices that perform multiple tasks simultaneously. For example, imaging systems capture both visual quality assessment and traceability data, while environmental sensors monitor both storage conditions and generate information for predictive analytics. This reduces the number of separate devices needed while maintaining comprehensive tracking.
Solution Approach 2:
The system enables nutritional substances to effectively 'self-report' their condition through embedded or attached sensors that automatically monitor their own state (temperature, humidity, composition changes) and transmit this information without requiring external intervention. This self-monitoring capability provides comprehensive data while minimizing the complexity of external monitoring infrastructure.
3Reliability
If adaptive conditioning is applied to minimize nutritional degradation, then nutritional value is preserved, but energy consumption and use of energy increase
Solution Approach 1:
The system applies conditioning interventions periodically rather than continuously, adjusting parameters only when sensor data indicates degradation thresholds are approached. For example, atmosphere composition or temperature adjustments are made at specific intervals based on monitored changes in the nutritional substance, reducing energy consumption while maintaining quality through targeted interventions.
Solution Approach 2:
The system dynamically changes conditioning parameters (temperature, humidity, gas composition, light exposure) based on real-time sensor feedback about the nutritional substance state. By adjusting parameters only to the extent necessary to prevent degradation and using predictive models to anticipate changes, the system minimizes energy consumption while maintaining nutritional value through precise, adaptive control.
Data Source
AI summary
Nutritional substance systems and methods are disclosed enabling the tracking and communication of changes in nutritional, organoleptic, and aesthetic values of nutritional substances, and further enabling the adaptive storage and adaptive conditioning of nutritional substances.