Shipping Container Anomaly Detection With Cross-Node Verification

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Solution Overview

Problem

Current monitoring techniques for environmental anomalies within shipping containers are delayed due to sensors being located far from the containers, leading to risks of damage and injury from rapid spreading hazards like fires or chemical leaks, especially during transportation by aircraft.

Innovation Solution

An enhanced wireless node system with multiple sensor-based ID nodes and command nodes that detect and verify environmental anomalies within the container, using wireless communication interfaces to rapidly identify and respond to threats through layered alerts and mediation responses.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If sensors are located far from shipping containers, then monitoring system complexity is reduced, but detection time increases and reliability decreases

Engineering Contradiction:

Improvemonitoring system complexityVSAvoiddetection time

Core Design Contradiction:

Device complexityVSLoss of time

Solution Approach 1:

The monitoring system is segmented into distributed wireless sensor nodes placed within individual containers, each independently detecting local conditions. This segmentation allows proximity-based rapid detection while keeping each node simple and modular, resolving the contradiction between system complexity and detection speed.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system transitions from centralized remote monitoring to a distributed hierarchical architecture with sensor nodes, command nodes, and central servers operating at different levels. This dimensional restructuring enables local rapid detection at the container level while maintaining overall system coordination, simultaneously achieving simplicity and speed.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

2Ease of manufacture

If sensors are located far from shipping containers, then system installation is simplified, but detection reliability and response capability deteriorate

Engineering Contradiction:

Improvesystem installationVSAvoidanomaly detection reliability

Core Design Contradiction:

Ease of manufactureVSReliability

Solution Approach 1:

Wireless sensor nodes are designed as self-contained units with integrated power, sensing, and communication capabilities that can be independently deployed within containers. This self-service design simplifies installation while ensuring reliable local detection, as each node operates autonomously without requiring external infrastructure.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system employs multiple sensor types detecting different physical parameters (temperature, smoke concentration, gas composition) to monitor the same container environment. This multi-parameter approach enhances detection reliability through cross-validation while maintaining installation simplicity through standardized wireless node deployment.

Inventive Principle:

Principle #35Parameter changes

3Reliability

If multiple command nodes with verification capability are deployed, then detection reliability improves, but device complexity increases

Engineering Contradiction:

Improveanomaly verification reliabilityVSAvoidnode network complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

Command nodes implement a feedback-based verification mechanism where anomaly detections are cross-checked by neighboring command nodes before triggering alerts. This feedback loop enhances reliability by eliminating false positives while the automated verification process prevents complexity from escalating, as the system self-regulates through predefined protocols.

Inventive Principle:

Principle #23Feedback

4Loss of time

If wireless sensor nodes are placed within containers, then detection speed improves, but system complexity and energy consumption increase

Engineering Contradiction:

Improveresponse timeVSAvoidsensor node energy consumption

Core Design Contradiction:

Loss of timeVSUse of energy by moving object

Solution Approach 1:

Sensor nodes operate in periodic cycles, alternating between low-power sleep mode and active sensing/communication modes. During normal conditions, nodes perform brief periodic status checks and remain dormant otherwise. This periodic operation enables rapid anomaly detection when needed while dramatically reducing average energy consumption, resolving the contradiction between response speed and power usage.

Inventive Principle:

Principle #19Periodic action

Data Source

PatentUS11838366B2Systems, apparatus, and methods for detecting and verifying an environmental anomaly using multiple command nodes

Publication Date: 2023.12.05 FEDERAL EXPRESS CORP

AI summary

A system for detecting and verifying an environmental anomaly within a shipping container (transported on a transit vehicle having an external transceiver) has wireless sensor-based ID nodes at different locations within the container and multiple command nodes mounted to the container. A first command node is programmatically configured to be operative to detect the sensor data broadcasted from the ID nodes; responsively identify the anomaly based upon the sensor data detected by that command node; and transmit a validation request to another command node. The other command node is configured to be operative to also detect the sensor data broadcasted from the ID nodes; receive the validation request from the first command node; verify the anomaly in response to the validation request and based upon the sensor data detected by the second command node; and broadcast a verification message based upon whether the anomaly for the shipping container is verified.