Cold-Chain Delivery Tracking for Real-Time Pharma Quality Control
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Solution Overview
Problem
Conventional delivery management systems cannot execute quality control of pharmaceutical products in real time during transport, as they primarily focus on providing environment history rather than real-time monitoring and status management.
Innovation Solution
A delivery management system that includes a delivery unit equipped with GPS, temperature, and environmental sensors, which transmits data to an article management server via a communication network, allowing for real-time monitoring and generation of transport status data, including location, temperature, and environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a sensor information management system is used to provide environment history during transport, then quality control reliability is improved, but real-time monitoring capability deteriorates
Solution Approach 1:
The system performs preliminary actions by continuously measuring and storing environment data (temperature, humidity, shock, light) in real-time during transport. This preliminary data collection enables both reliable quality control assessment and real-time monitoring capability, resolving the contradiction between these two features.
Solution Approach 2:
The system implements feedback mechanisms by transmitting environment data and transport status information to the management server continuously. This real-time feedback loop enables both reliable quality control through comprehensive data and real-time monitoring capability, allowing immediate detection and response to any deviations.
2Measurement precision
If comprehensive environment data is collected and transmitted, then quality control accuracy is improved, but data transmission load and processing complexity worsen
Solution Approach 1:
The system extracts and transmits only the most critical transport status information (location, temperature, shock events, light exposure) to the management server, rather than transmitting all possible sensor data. This selective extraction maintains quality control accuracy while reducing data transmission load and processing complexity.
Solution Approach 2:
The system implements partial monitoring by focusing on key quality parameters and critical transport conditions rather than comprehensively monitoring all possible variables. This partial action approach maintains sufficient quality control accuracy while significantly reducing system complexity and data processing requirements.
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
Enables real-time quality control and transport status monitoring, ensuring the integrity of pharmaceutical products by providing an environment history and transport status during delivery.
Implementation Method 1
a GPS receiver that receives each GPS signal from a plurality of GPS satellites to calculate location data based on each of the GPS signals
Implementation Method 2
a thermometer that measures a temperature in the storage container
Implementation Method 3
a storage container in which an accommodated article is cooled by a refrigerant
Data Source
AI summary
An environment history acquired from the environment in a container during transport of an article, ascertain a transport status including a transport route and the article, and execute quality control of the article in real time. An article management server memorized location data and a device code received from a GPS receiver in a second memory unit in association with each other, memorizes temperature data received from a delivery unit regularly and/or irregularly in a third memory unit associated with a unit number respectively, and memorizes a unit number and a serial number of an article in a fourth memory unit in association with each other. A transport-status-data generation unit uses a set of a certain unit number and a device code as a key, to generate transport status data representing a serial number, location data, and temperature data of the article during transport, based on the location data acquired from the second memory unit corresponding to the device code.