3D Cargo Space Monitoring for Swaying and Position Change Detection

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Solution Overview

Problem

Existing cargo monitoring systems struggle to dynamically observe and interpret the nature of movements or changes in position of cargo parts within large-volume cargo spaces, providing only binary detection of movement without detailed analysis of the movement type, such as swaying or tilting.

Innovation Solution

A method utilizing a distance-measuring, depth-sensitive sensor to create 3D data sets of cargo space measurements, comparing these sets over time to detect and analyze changes in cargo positions, determining the nature and direction of movements through 3D data clusters, and generating signals for further processing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If binary movement detection is used, then detection simplicity is improved, but measurement precision deteriorates

Engineering Contradiction:
Improvedetection simplicityVSAvoidmovement analysis precision
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The patent segments cargo monitoring into multiple detection zones (front, rear, left, right) and analyzes movement in each zone separately. This allows the system to maintain simple binary detection while providing detailed spatial information about cargo movement, effectively resolving the contradiction between detection simplicity and measurement precision.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent transitions from simple binary movement detection to multi-dimensional analysis by detecting cargo position changes in multiple spatial dimensions (front-rear, left-right, high-low). This enables precise characterization of cargo movement types while maintaining the simplicity of automated detection.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Reliability

If manual confirmation is required, then detection reliability is improved, but productivity deteriorates

Engineering Contradiction:
Improvedetection reliabilityVSAvoidmonitoring efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The system performs self-verification by automatically analyzing cargo movement patterns and generating alerts without requiring manual confirmation. The automated analysis of multi-dimensional position changes provides sufficient reliability to replace manual verification, thereby maintaining detection reliability while significantly improving monitoring productivity.

Inventive Principle:
Principle #25Self-service

3Reliability

If detailed cargo monitoring is implemented, then cargo safety is improved, but device complexity deteriorates

Engineering Contradiction:
Improvecargo safetyVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent employs a universal detection system that can monitor multiple cargo parameters (position, movement, stability) using a single integrated setup. This multi-functional approach enables detailed cargo monitoring for safety while avoiding the need for multiple separate devices, thus reducing overall system complexity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

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 precise, real-time detection of cargo movements, distinguishing between swaying and positional changes like falling or sliding, providing comprehensive cargo status information for safety and logistics optimization.

Implementation Method 1

the position of a cargo part can be detected at an initial point in time with the help of a camera and image processing software

Methodology Applied
Scientific EffectTime of flight: Time of Flight

Data Source

PatentUS12488305B2Cargo monitoring method
Publication Date: 2025.12.02 ZF CV SYST GLOBAL GMBH
  • US12488305B2 patent drawing
  • US12488305B2 patent drawing
  • US12488305B2 patent drawing

AI summary

A method for detecting moving bodies or cargo parts inside a cargo space, including storing 3D data describing each measuring point of any bodies or cargo parts in the cargo space as a first data set and carrying out a further, subsequent three-dimensional measurement and storing the 3D data describing the corresponding measuring points of the bodies or cargo parts in the cargo space as further data sets. A third or fourth step is performed. The third step includes comparing 3D data of individual, spatially corresponding measuring points of the first and the further measurement(s) with each and, if changes in the 3D data are detected, carrying out the fourth step and further steps. The fourth step includes checking the first and the further data set(s) by an algorithm to determine whether subsets of the 3D data contained therein characterize a three-dimensional body or a cargo part.