Multi-Point Laser Surface Mapping With Noise Filtering
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Solution Overview
Problem
Existing surface mapping technologies using ultrasound, radar, or microwave technologies suffer from low measurement capacity, high noise, low definition, and uncertainty, and lack information on maintenance status.
Innovation Solution
A method and device utilizing a multi-point laser sensor with a Time-of-Flight measurement cell array module, data transmitter, and calculator to process and refine distance values, identifying valid, invalid, and processable values, and generating a result array for precise surface mapping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a multi-point laser sensor is used to capture distance values, then measurement capacity and coverage are improved, but noise and measurement uncertainty increase
Solution Approach 1:
The patent segments the captured distance values into three categories: valid values, invalid values, and processable values. This segmentation allows the system to handle different types of measurement data differently, maintaining high measurement capacity while improving precision by filtering and processing specific value types through statistical analysis and interpolation methods.
Solution Approach 2:
The patent implements a feedback mechanism where the system analyzes the distribution of captured values, identifies valid ranges through statistical parameters (mean, standard deviation), and uses this information to process invalid values. The feedback loop continuously refines the measurement by comparing captured values against established valid ranges and adjusting the result array accordingly.
2Productivity
If all captured distance values are used directly for mapping, then processing speed is improved, but definition and measurement accuracy deteriorate
Solution Approach 1:
The patent performs preliminary actions by pre-establishing valid value ranges and statistical parameters before final mapping. The system calculates mean and standard deviation of valid values in advance, identifies processable values that fall within acceptable ranges, and prepares interpolation strategies beforehand. This preliminary processing ensures high mapping definition while maintaining efficient processing speed during actual surface mapping operations.
3Device complexity
If sensor point measurements are taken, then device complexity is reduced, but information regarding surface topology and maintenance status is lost
Solution Approach 1:
The patent transitions from single-point measurements to multi-point array measurements, adding spatial dimensionality to the data collection process. The multi-point laser sensor captures distance values across multiple positions simultaneously, creating a two-dimensional array of measurements that preserves surface topology information while maintaining relatively simple device architecture. This dimensional enhancement allows comprehensive surface mapping without significantly increasing device complexity.
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
Enhances measurement precision, reduces noise, and provides accurate three-dimensional surface mapping with improved definition and maintenance alerts.
Implementation Method 1
The multi-point laser sensor comprises at least one Time-of-Flight measurement cell array module
Data Source
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Figure 3
AI summary
The present invention relates to a method for mapping a surface characterised in that it comprises the following steps: receiving, in a calculator, an array of values of the distance from data captured by a multi-point laser sensor of a plurality of points of a surface; executing a directive on the calculator, wherein the directive comprises identifying valid values, invalid values and processable values in the received array of values; calculating and providing a result array of values; and mapping the surface from the result matrix of values, electronic device and computer program to carry it out.