In-Transit Ripeness Control for Refrigerated Perishable Transport
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Solution Overview
Problem
Cold chain distribution systems face challenges in maintaining perishable goods at peak ripeness due to the difficulty in controlling environmental factors during transportation, which affects the quality of goods by the time of delivery.
Innovation Solution
A system that includes a ripeness management module to determine current and predicted ripeness levels, adjust ripening schedules, and communicate with transport refrigeration systems to optimize environmental conditions within refrigerated containers, using sensors to monitor perishable good parameters and transmit data for real-time adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Temperature
If conventional transport refrigeration systems are used to maintain controlled temperature environment, then temperature control is achieved, but ripeness management at delivery is compromised
Solution Approach 1:
The system dynamically adjusts refrigeration parameters (temperature, humidity, gas composition) based on real-time ripeness monitoring and predicted ripeness curves, transitioning from static temperature maintenance to dynamic multi-parameter control that adapts to the perishable good's ripening stage
Solution Approach 2:
The system implements closed-loop feedback by continuously monitoring current ripeness levels through sensors, comparing them against target ripeness curves, and automatically adjusting refrigeration parameters to steer the perishable good toward peak ripeness at delivery
2Productivity
If perishable goods are transported through multiple hands along the route, then distribution is achieved, but peak ripeness at purchase becomes difficult to attain
Solution Approach 1:
The system performs preliminary ripeness management by establishing target ripeness curves and pre-calculating required environmental conditions for each transport segment, ensuring that even with multiple handlers, the cumulative effect steers the goods toward peak ripeness at delivery
Solution Approach 2:
The system integrates multiple functions into a single platform: temperature control, humidity control, gas composition management, ripeness monitoring, and predictive analytics, allowing consistent quality management across diverse transport scenarios and multiple handlers
3Reliability
If environmental factors are controlled during transportation, then quality preservation is improved, but system complexity increases
Solution Approach 1:
The system consolidates multiple environmental control functions (temperature, humidity, gas composition) and monitoring capabilities into an integrated platform that manages all parameters through a unified control architecture, reducing operational complexity despite increased functionality
Solution Approach 2:
The system automatically monitors ripeness levels, predicts future ripeness states, and self-adjusts environmental parameters without manual intervention, eliminating the need for complex manual coordination across multiple handlers and simplifying operation
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Ensures perishable goods reach peak ripeness at the time of delivery by dynamically adjusting environmental conditions within the transport refrigeration system based on real-time monitoring and analysis, enhancing the quality and consistency of perishable goods.
Implementation Method 1
Air or an air/gas mixture is drawn from the interior volume of the cargo space by means of the evaporator fan(s) associated with the evaporator, passed through the airside of the evaporator in heat exchange relationship with refrigerant whereby the refrigerant absorbs heat from the air, thereby cooling the air.
Data Source
AI summary
A system for managing ripeness of perishable goods including: a storage device to store perishable good requirements, ripening capability parameters, ripening schedules, and perishable good parameters associated with the perishable goods; and a ripeness management system coupled to the storage device. The ripeness management system including: a current ripeness determination module to determine current ripeness levels in response to at least one of the perishable good parameters, the perishable good requirements, and the ripening schedules; a ripeness schedule module to determine predicted ripeness levels in response to at least one of the current ripeness levels, the ripening capability parameters, and the ripening schedules; and a meshing module to determine ripening schedule adjustments in response to at least one of the current ripeness levels, the perishable good parameters, the ripening schedules, and the ripening capability parameters.