3D Detector Self-Calibration for Work Machine Monitoring

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Solution Overview

Problem

The calibration process for positioning or posing space recognition devices on work machines, such as cranes and shovels, is labor-intensive and burdensome for operators, requiring significant effort to set up and adjust these devices accurately.

Innovation Solution

A peripheral monitoring system that includes a three-dimensional detector and processing circuitry, which acquires information from the detector and automatically specifies the position or pose of the space recognition device based on the shape of the work machine, reducing the operator's workload by automating the calibration process.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If space recognition devices are provided on work machines to monitor the periphery, then safety is improved, but the calibration process becomes labor-intensive and burdensome

Engineering Contradiction:

ImprovesafetyVSAvoidcalibration process

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The system performs self-calibration by automatically determining the position and pose of space recognition devices using detection results from the detectors themselves and pre-stored three-dimensional information about the work machine. This eliminates the need for manual calibration operations while maintaining monitoring accuracy.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system changes the calibration approach from manual parameter setting to automatic parameter determination through detection. The position and pose parameters are derived from analyzing the three-dimensional shapes detected by the detectors and matching them with pre-stored reference information, transforming the calibration process into an automated computational task.

Inventive Principle:

Principle #35Parameter changes

2Productivity

If multiple space recognition devices are combined to display comprehensive peripheral information, then monitoring capability is improved, but the setting processing load increases

Engineering Contradiction:

Improvemonitoring capabilityVSAvoidsetting processing

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The pre-stored three-dimensional information serves multiple functions: it is used during the calibration phase to determine device positions and poses, and also during operation to combine detection results from multiple devices. This universal data structure simplifies the processing required for multi-device integration.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system replaces manual mechanical calibration procedures with automated computational processing. Instead of physically adjusting and manually configuring multiple detectors, the system uses algorithms to automatically determine positions and poses from detection data, substituting mechanical adjustment with information processing.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Measurement precision

If manual calibration is performed to accurately set position and pose of space recognition devices, then measurement precision is improved, but time consumption increases

Engineering Contradiction:

Improveposition and pose accuracyVSAvoidcalibration time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary action by pre-storing three-dimensional information about the work machine before operation. This pre-prepared reference data enables rapid automatic calibration during deployment, eliminating the need for time-consuming manual measurement and adjustment while maintaining precision through accurate geometric matching.

Inventive Principle:

Principle #10Preliminary action

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 system significantly reduces the operator's load in setting up space recognition devices, improving efficiency and accuracy by automating the calibration process and enabling seamless integration of three-dimensional image information for enhanced monitoring capabilities.

Implementation Method 1

a three-dimensional detector mounted on a work machine so that a part of the work machine is included in a measurement range of the three-dimensional detector

Methodology Applied

Scientific EffectThree-dimensional detection: LIDAR

Data Source

PatentUS20240265573A1Peripheral monitoring system for work machine, information processing device, and peripheral monitoring method

Publication Date: 2024.08.08 SUMITOMO HEAVY IND LTD

AI summary

A peripheral monitoring system for a work machine includes a three-dimensional detector and processing circuitry. The three-dimensional detector is mounted on the work machine such that a part of the work machine is included in the measurement range of the three-dimensional detector. The processing circuitry is configured to acquire information detected by the three-dimensional detector and to specify the position or pose of the three-dimensional detector based on at least the shape of the part of the work machine included in the acquired detected information.