Logistics Sensor Data Compression via Threshold-Based Storage Modes
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Solution Overview
Problem
The rapid increase in logistics delivery volumes, particularly with temperature-sensitive items like vaccines, makes it impractical for personnel to manually monitor and manage the temperature, humidity, and impact conditions within delivery vehicles, leading to potential damage and quality issues.
Innovation Solution
A system that uses sensors to collect data on temperature, acceleration, humidity, illuminance, inclination, and location within delivery vehicles, activating different storage modes based on data change thresholds to efficiently store and manage this information, using alternative sensed data and two-dimensional codes for efficient data storage and transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all actual sensed data is stored in original capacity, then data completeness is improved, but storage capacity consumption increases
Solution Approach 1:
The patent changes the parameter representation by encoding sensed data into pattern identification information. Instead of storing raw temperature, humidity, and other environmental parameter values, the system categorizes them into patterns (e.g., normal, warning, alarm) and stores only the pattern identification information, significantly reducing storage capacity while preserving essential information for logistics state management.
Solution Approach 2:
The patent creates a simplified copy of the actual sensed data by generating alternative sensed data that represents the essential characteristics through pattern identification. This copy contains sufficient information for logistics state determination while occupying minimal storage space, effectively resolving the contradiction between data completeness and storage efficiency.
2Measurement precision
If manual monitoring of logistics status is performed, then data accuracy is improved, but labor requirements increase
Solution Approach 1:
The system implements self-service by automatically sensing environmental parameters, calculating change amounts, identifying patterns, and determining logistics states without human intervention. The sensor apparatus autonomously performs all monitoring and analysis functions, eliminating the need for manual status checks while maintaining high accuracy through automated pattern recognition algorithms.
Solution Approach 2:
The patent replaces manual mechanical monitoring operations with automated sensor-based electronic systems. Sensors continuously capture environmental data, and processing circuits automatically analyze changes and identify patterns, substituting human labor with electronic measurement and computation systems that provide both accuracy and operational efficiency.
3Quantity of substance
If data change threshold comparison is performed, then storage efficiency is improved, but processing complexity increases
Solution Approach 1:
The patent transforms continuous sensed parameter values into discrete pattern identification categories through threshold-based change amount comparison. By converting continuous data into discrete patterns (e.g., no change, slight change, significant change), the system achieves efficient storage while the processing complexity is managed through systematic threshold evaluation and pattern matching algorithms.
Data Source
AI summary
Disclosed is a storage method of sensed data used for state management of a logistics, which is performed by an apparatus including generating actual sensed data, which is obtained by sensing at least one of a temperature, acceleration, humidity, illuminance, inclination, impact, and location inside a region at a predetermined period through a first sensor installed inside the region where the logistics of a delivery vehicle is loaded, calculating a change amount of the actual sensed data at a predetermined time interval, activating one storage mode among a first storage mode and a second storage mode depending on a result of comparison between the change amount and a predetermined threshold change amount, and storing the actual sensed data in a storage method provided in the activated storage mode.