One-Time QR Logistics State Management via Sensor Data
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Solution Overview
Problem
The existing logistics management systems face challenges in efficiently managing the state of logistics during delivery, particularly in tracking temperature, humidity, shock, and location, which often results in damaged or spoiled goods due to manual and paper-based processes.
Innovation Solution
A system that uses an apparatus mounted in delivery vehicles to sense various environmental parameters such as temperature, acceleration, humidity, illumination, inclination, shock, and location, and generates a QR code that provides real-time state information of the logistics, allowing for easy access and management through external terminals and servers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual data collection and paper certificates are used to track logistics state, then the system complexity is low, but the productivity and reliability of logistics management deteriorate
Solution Approach 1:
The patent replaces manual mechanical data collection processes with an automated electronic sensing system. Sensors automatically detect logistics state parameters (temperature, humidity, shock, location) and transmit data electronically via QR codes, eliminating the need for manual paper certificate generation and exchange between delivery personnel and managers.
Solution Approach 2:
The sensing apparatus performs self-service by automatically monitoring and recording logistics state information without human intervention. The system autonomously generates QR codes containing state data and transmits them to external terminals, allowing the logistics system to self-monitor and self-report conditions throughout the delivery process.
2Measurement precision
If manual checking of logistics state information is performed, then the measurement precision is insufficient, but the loss of time for data collection increases
Solution Approach 1:
The sensing apparatus continuously monitors logistics state parameters throughout the entire delivery process without interruption. Sensors operate continuously to capture temperature, humidity, shock, and location data at multiple time points, ensuring complete and accurate state information is recorded without requiring periodic manual checks that would introduce time delays.
Solution Approach 2:
Electronic sensors replace manual inspection methods, providing precise automated measurement of logistics state parameters. The sensors continuously capture accurate data on temperature, humidity, shock, and location, eliminating the time-consuming manual checking process while maintaining high measurement precision.
3Reliability
If multiple apparatuses are deployed to track logistics state, then the reliability of state monitoring improves, but the loss of substance for apparatus recycling decreases
Solution Approach 1:
The sensing apparatus is designed as a universal, multi-functional device capable of monitoring multiple logistics state parameters (temperature, humidity, shock, location) simultaneously. This multi-functionality allows a single apparatus to replace what would traditionally require multiple specialized devices, reducing the total number of apparatuses needed while maintaining comprehensive monitoring reliability.
Solution Approach 2:
The system implements a recycling mechanism where used sensing apparatuses are recovered and reused instead of being discarded. The portable nature of the apparatus allows it to be easily recovered from delivery vehicles and reused in subsequent deliveries, reducing the need for continuous procurement of new devices and minimizing material waste.
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
This solution enhances delivery efficiency by eliminating the need for manual data collection and paper certificates, allows for real-time monitoring and management of logistics state, and reduces waste by enabling the recycling of apparatuses when delivery vehicles are replaced.
Implementation Method 1
sensing at least one among temperature, acceleration, humidity, illumination, inclination, shock, and location inside a region where the logistics are loaded
Implementation Method 2
sensing at least one among temperature, acceleration, humidity, illumination, inclination, shock, and location inside a region where the logistics are loaded
Implementation Method 3
sensing at least one among temperature, acceleration, humidity, illumination, inclination, shock, and location inside a region where the logistics are loaded
Implementation Method 4
sensing at least one among temperature, acceleration, humidity, illumination, inclination, shock, and location inside a region where the logistics are loaded
Implementation Method 5
sensing at least one among temperature, acceleration, humidity, illumination, inclination, shock, and location inside a region where the logistics are loaded
Implementation Method 6
sensing at least one among temperature, acceleration, humidity, illumination, inclination, shock, and location inside a region where the logistics are loaded
Implementation Method 7
sensing at least one among temperature, acceleration, humidity, illumination, inclination, shock, and location inside a region where the logistics are loaded
Implementation Method 8
generates a QR code that provides real-time state information of the logistics
Data Source
AI summary
The present disclosure provides a method for providing a one-time QR (OTQ) based logistics state management service, which is performed by an apparatus. The method includes the operations of: generating actual sensed data sensing at least one among temperature, acceleration, humidity, illumination, inclination, shock, and location inside a region, in which logistics are loaded, at each predetermined period through a first sensor mounted inside the region; accumulating and recording the actual sensed data generated at each predetermined period based on a predetermined storage capacity; generating and displaying the first QR code based on the actual sensed data; and generating a second QR code in a case in which data included in the first QR code exceeds the predetermined storage capacity.


