Narrow- and Wide-Range Shape Data Correlation for Structure Inspection

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Solution Overview

Problem

Existing sensing technologies face challenges in accurately inspecting large structures due to the limitations of narrow-angle data providing detailed shape information but lacking context within the overall inspection range, and wide-angle data lacking detail, leading to incomplete or inaccurate inspections.

Innovation Solution

An information processing apparatus that integrates narrow and wide-angle sensing data, synchronizing sensor positions and orientations to associate detailed shape data with broader context, enabling precise comparison and inspection of target objects.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If narrow-angle sensing data is used to capture detailed shape information, then measurement precision is improved, but the area of inspection coverage deteriorates

Engineering Contradiction:
Improveshape information detailVSAvoidinspection range coverage
Core Design Contradiction:
Measurement precisionVSArea of stationary object

Solution Approach 1:

The patent segments the inspection task into multiple narrow-angle sensing measurements taken from different positions and orientations. Each measurement captures detailed shape information of a specific portion, and the system systematically divides the overall inspection space into multiple sub-regions that are sequentially measured and then integrated to form a complete wide-range shape model.

Inventive Principle:
Principle #1Segmentation

2Area of stationary object

If wide-angle sensing data is used to capture overall shape information, then the area of inspection coverage is improved, but measurement precision deteriorates

Engineering Contradiction:
Improveinspection range coverageVSAvoidshape information detail
Core Design Contradiction:
Area of stationary objectVSMeasurement precision

Solution Approach 1:

The patent merges multiple narrow-angle sensing data sets into a unified wide-range shape model. By combining measurements from multiple positions and orientations, the system achieves both comprehensive coverage and high precision, as each narrow-angle measurement contributes detailed information to the corresponding portion of the overall model.

Inventive Principle:
Principle #5Merging (Combining)

3Measurement precision

If multiple sensing data sets are collected and integrated, then measurement precision and coverage are improved, but device complexity increases

Engineering Contradiction:
Improveinspection accuracyVSAvoiddata integration complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent creates a digital copy or virtual model of the target object's shape by integrating sensing data. This digital replica allows for repeated analysis, comparison, and verification without requiring physical re-measurement, thereby reducing the complexity of handling multiple data sets while maintaining high measurement precision.

Inventive Principle:
Principle #26Copying

Data Source

PatentUS20250252586A1Information processing apparatus and recording medium
Publication Date: 2025.08.07 SUMITOMO HEAVY IND LTD
  • US20250252586A1 patent drawing
  • US20250252586A1 patent drawing
  • US20250252586A1 patent drawing

AI summary

An information processing apparatus includes a processor and memory storing instructions for executing a process including acquiring first sensing data representing a shape of a narrow range of a first target object, and second sensing data representing a shape of a wide range of the first target object and for which a relationship between sensors at data acquisition is predefined; acquiring a third sensing data group including third sensing data representing a shape of a narrow range of a second target object, and a fourth sensing data group including fourth sensing data representing a shape of a wide range of the second target object and for which a relationship between sensors at data acquisition is predefined; and associating the first sensing data with the third sensing data representing a portion of the second target object same as a portion of the first target object corresponding to the first sensing data.