3D Measurement Condition Optimization for LIDAR Overlap Reduction
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Solution Overview
Problem
In three-dimensional data measurement systems using autonomous movement means with LIDAR, inappropriate measurement conditions lead to high ratios of overlapping data, increasing acquisition time and data volume.
Innovation Solution
A measurement condition optimization system that includes a three-dimensional data input unit, an overlapping portion determination unit, a measurement policy acquisition unit, and a measurement condition adjustment unit to align and optimize the measurement conditions, reducing overlapping data by adjusting the measurement device's path and resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the measurement device acquires three-dimensional data without optimizing measurement conditions, then the measurement process is simple, but the acquired data contains a high ratio of overlapping portions, increasing acquisition time and data volume
Solution Approach 1:
The system performs preliminary alignment processing on three-dimensional data before final acquisition, identifying overlapping portions in advance. This allows the measurement condition adjustment unit to optimize measurement conditions beforehand, preventing redundant data acquisition and reducing overall measurement time
Solution Approach 2:
The overlapping portion determination unit analyzes acquired data to identify redundant portions, and this information feeds back to the measurement condition adjustment unit. The system uses this feedback to dynamically adjust measurement conditions, avoiding areas with high overlap and improving measurement efficiency in subsequent acquisitions
2Productivity
If the measurement device acquires three-dimensional data without optimizing measurement conditions, then the measurement process is simple, but the data amount of acquired three-dimensional data becomes enormous
Solution Approach 1:
The system extracts and identifies overlapping portions from the acquired three-dimensional data through alignment processing. By separating and identifying redundant data portions, the system can exclude them from further processing or storage, effectively reducing the total data volume that needs to be managed
Solution Approach 2:
The measurement condition adjustment unit modifies measurement parameters such as measurement positions, angles, and ranges based on identified overlapping portions. By changing these parameters, the system optimizes the measurement process to acquire only necessary data, reducing overall data volume while maintaining measurement quality
Data Source
AI summary
A measurement condition optimization system according to an aspect of the present disclosure includes: a three-dimensional data input unit that inputs three-dimensional data of a measurement target installation in a predetermined facility measured using a measurement device; an overlapping portion determination unit that performs alignment processing on each piece of the input three-dimensional data, and determines an overlapping portion included in the three-dimensional data after the alignment processing; a measurement policy acquisition unit that acquires a measurement policy at the time of acquiring the three-dimensional data of the measurement target installation in the facility using the measurement device; and a measurement condition adjustment unit that adjusts a measurement condition to satisfy the measurement policy acquired by the measurement policy acquisition unit and make the overlapping portion included in the three-dimensional data determined by the overlapping portion determination unit within a predetermined range.