Node-Enabled Logistics Receptacle for Automated Inventory Tracking
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Solution Overview
Problem
Current tracking systems for items, personnel, and equipment in logistics and shipping are inefficient and costly, lacking comprehensive monitoring of environmental conditions such as temperature and humidity, and often require manual scanning of barcodes or rely on expensive sensor-based systems that provide redundant information.
Innovation Solution
A context-aware wireless node network with a hierarchical structure, where ID nodes communicate with master nodes and servers, enabling adaptive location tracking and inventory management through signal detection, association, and data exchange, allowing for automated monitoring of items within logistics receptacles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor-based tracking systems are used to monitor location and environmental conditions, then measurement precision and information quality are improved, but device complexity and cost increase significantly
Solution Approach 1:
The system divides tracking functionality into two segments: basic location tracking using simple RFID tags for all items, and detailed environmental monitoring using sensors only for items requiring condition monitoring. This segmentation allows the system to achieve comprehensive tracking precision while avoiding the complexity and cost of deploying sensors on every item.
Solution Approach 2:
The RFID tags are designed to serve multiple functions: basic identification, location tracking, and serving as a platform for optional sensor attachment. This multi-functionality allows the same base infrastructure to support both simple tracking and complex monitoring needs, reducing overall system complexity while maintaining measurement precision for items that require it.
2Productivity
If RFID tags are used for automatic tracking without manual scanning, then productivity is improved, but measurement precision and environmental condition monitoring capability deteriorate
Solution Approach 1:
The system merges RFID technology with environmental sensors into an integrated tracking tag. The RFID component provides automatic identification and location tracking for high productivity, while integrated sensors add temperature, humidity, and shock monitoring capabilities. The merged system maintains the automatic tracking efficiency of RFID while enhancing measurement precision through sensor data collection.
Solution Approach 2:
The tracking tag uses a composite structure combining RFID circuitry with sensor modules and power management components. This composite design enables the tag to perform both automatic identification (maintaining productivity) and environmental condition monitoring (improving measurement precision), resolving the contradiction between tracking efficiency and monitoring capability.
3Measurement precision
If comprehensive sensor-based tracking systems are deployed to monitor all items, then measurement precision is improved, but loss of energy and operational costs increase
Solution Approach 1:
The system dynamically adjusts sensor activation and data collection frequency based on item characteristics, location, and risk factors. High-value or temperature-sensitive items receive continuous monitoring with high measurement precision, while standard items use periodic or event-triggered monitoring. This dynamic approach maintains necessary monitoring accuracy while significantly reducing energy consumption and operational costs compared to universal continuous monitoring.
Solution Approach 2:
The system changes operational parameters such as sensor sampling rate, transmission frequency, and monitoring intensity based on item priority and environmental conditions. For example, sensors may operate at low power mode during stable conditions and switch to high-precision mode when anomalies are detected. This parameter adjustment maintains measurement precision when needed while minimizing energy loss during normal operations.
Data Source
AI summary
Methods and an assembly apparatus are described for operating a node-enabled logistics receptacle in a wireless node network having at least a first node related to an item being shipped. The method generally begins with the node-enabled logistics receptacle detecting a signal broadcast by the first node, such as when a package having the first node approaches the receptacle. The method then associates the node-enabled logistics receptacle with the first node. The method continues with the node-enabled logistics receptacle determining a location of the first node, and then altering a current inventory of nodes related to the node-enabled logistics receptacle based upon the location of the first node, such as when the first node is within a vicinity of the receptacle that is an area sufficiently proximate to the node-enabled logistics receptacle to indicate an item and node within the vicinity intends to be shipped.