CN109341544A - A kind of laser displacement sensor ranging numerical optimization - Google Patents
A kind of laser displacement sensor ranging numerical optimization Download PDFInfo
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- CN109341544A CN109341544A CN201811357395.5A CN201811357395A CN109341544A CN 109341544 A CN109341544 A CN 109341544A CN 201811357395 A CN201811357395 A CN 201811357395A CN 109341544 A CN109341544 A CN 109341544A
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- 238000006073 displacement reaction Methods 0.000 title claims abstract description 24
- 238000005457 optimization Methods 0.000 title claims abstract description 20
- 238000005259 measurement Methods 0.000 claims abstract description 12
- 238000007619 statistical method Methods 0.000 claims abstract description 5
- 230000009466 transformation Effects 0.000 claims description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 238000000034 method Methods 0.000 description 6
- 238000001514 detection method Methods 0.000 description 3
- 238000012360 testing method Methods 0.000 description 2
- 238000013100 final test Methods 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/14—Fourier, Walsh or analogous domain transformations, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
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- Length Measuring Devices By Optical Means (AREA)
Abstract
A kind of laser displacement sensor ranging numerical optimization provided by the invention, includes the following steps: step 1, acquires one group of initial data by laser displacement sensor；Step 2, multistage Fourier's curve matching is carried out to collected data；Step 3, former data and matched curve carry out probability statistical analysis；Step 4, output optimization numerical value.Compared with prior art, beneficial effects of the present invention are as follows: in the case where guaranteeing the distortionless situation of measurement result, the noises such as surface relief point in annular object measurement result are effectively removed, to reach optimization measurement numerical value purpose.
Description
Technical field
The present invention relates to measure it to distance between measured object based on laser displacement sensor.
Background technique
At present in the industry, the circumferential roundness measurement of annular object is an important ring for processing, assembly test, especially greatly
In the detection process of type structural member, generallys use laser displacement sensor and measure its circumferentially circle jitter values.
But because body surface smoothness is lower, in the detection process, it often will appear the interference of the noises such as convex-concave point,
Influence final testing result.
Therefore, it is necessary to optimize for the collected data of laser displacement sensor, it is made to guarantee distortionless condition
Under, interference noise is filtered out, to complete Detection task.
Summary of the invention
Aiming at the shortcomings in the prior art with blank, the object of the present invention is to provide one kind to be surveyed based on laser displacement sensor
The numerical optimization of the circumferentially round jitter values in annular object key point position away from system.
In order to solve the above technical problems, a kind of laser displacement sensor ranging numerical optimization provided by the invention, packet
Include following steps:
Step 1, one group of initial data is acquired by laser displacement sensor；
Step 2, multistage Fourier's curve matching is carried out to collected data；
Step 3, former data and matched curve carry out probability statistical analysis；
Step 4, output optimization numerical value.
Preferably, step 2 includes:
Step 2.1, initial data is characterized as one-dimension array；
Step 2.2, by one-dimension array by way of Fourier transformation, it is fitted to multistage Fourier's curve.
Preferably, step 3 includes:
Step 3.1, according to initial data point, node-by-node algorithm initial data and multistage Fourier's curve absolute difference；
Step 3.2, average value, the standard deviation of all point absolute values are calculated.
Preferably, step 4 includes:
Step 4.1, the size of all point point-by-point comparison absolute values and average value+0~3 times standard deviation, if the point is exhausted
Average value+0~3 times standard deviation is less than or equal to value, then the point end value takes raw measurement data to correspond to numerical value；If the point
Absolute value is greater than average value+0~3 times standard deviation, then the point end value takes matched curve to correspond to numerical value.
Step 4.2, all point end values are exported.
Compared with prior art, beneficial effects of the present invention are as follows: in the case where guaranteeing the distortionless situation of measurement result, effectively
The noises such as surface relief point in annular object measurement result are removed, to reach optimization measurement numerical value purpose.
Detailed description of the invention
Upon reading the detailed description of non-limiting embodiments with reference to the following drawings, other feature of the invention,
Objects and advantages will become more apparent upon:
Fig. 1 is the numerical optimization flow chart of the circumferentially round jitter values in annular object key point of the present invention position.
Specific embodiment
The present invention is described in detail combined with specific embodiments below.Following embodiment will be helpful to the technology of this field
Personnel further understand the present invention, but the invention is not limited in any way.It should be pointed out that the ordinary skill of this field
For personnel, without departing from the inventive concept of the premise, several changes and improvements can also be made.These belong to the present invention
Protection scope.
The present invention is directed to a kind of method of laser displacement sensor ranging numerical optimization, and this method is crucial according to annular object
Laser displacement sensor data collected are carried out linear analysis by the trend of the circumferentially round jitter values consecutive variations in point position, this
Kind method preferably carries out denoising to collected data, and guarantees that measurement result is authentic and valid, surveys to reach optimization
The purpose of numerical quantity.
Specifically, as shown in Figure 1, a kind of laser displacement sensor ranging numerical optimization provided according to the present invention,
Data collected for laser displacement sensor carry out multistage Fourier's curve matching, and by after fitting curve and original survey
It measures data and carries out probability statistical analysis, to export optimization numerical value.The following steps are included:
Step 1 acquires one group of initial data by laser displacement sensor and is characterized as one-dimension array；
Step 2 is fitted to multistage Fourier's curve by one-dimension array by way of Fourier transformation；
Step 3, according to initial data point, node-by-node algorithm initial data and multistage Fourier's curve absolute difference, and
Calculate average value, the standard deviation of all point absolute values；
Step 4, the size of all point point-by-point comparison absolute values and average value+0~3 times standard deviation, if the point is absolute
Value is less than or equal to average value+0~3 times standard deviation, then the point end value takes raw measurement data to correspond to numerical value；If the point is exhausted
Average value+0~3 times standard deviation is greater than to value, then the point end value takes matched curve to correspond to numerical value.
Step 5 exports all point end values, i.e. optimal value.
In laser displacement sensor practical application, especially dynamic measure during, continuous data collected because
The reason of sensor itself sensitivity, to object being measured surface, local feature description is subtle, often generates shadow to whole description
It rings.Such as when measure annular object circularity, whole object circle can be influenced because of noises such as body surface part sags and crests
The calculating of degree.So such noise there are in the environment of, directly using the collected initial data of laser displacement sensor into
Row interpretation will often account for the biggish noise of weight ratio as valid data, and influence testing result accuracy.It is asked to solve this
Topic carries out linear analysis to collected data herein according to the collected data variation trend of laser displacement sensor, thus
Data after being optimized.
By analyzing it is found that initial data is after being fitted to multistage Fourier's curve, matched curve can be good at characterizing
The variation tendency of initial data, and the noises such as testee concave-convex surface point are filtered out, but because being influenced by starting point, matched curve
The real effectiveness of data cannot be completely secured, so probability statistical analysis is carried out to matched curve and initial data, so that former
Virtual value in beginning data is highly restored.Obvious discovery, by carrying out numerical value to the collected data of laser displacement sensor
After optimization, the noises such as testee surface relief point can be effectively removed in the case where guaranteeing the distortionless situation of measurement result.
Specific embodiments of the present invention are described above.It is to be appreciated that the invention is not limited to above-mentioned
Particular implementation, those skilled in the art can make a variety of changes or modify within the scope of the claims, this not shadow
Ring substantive content of the invention.In the absence of conflict, the feature in embodiments herein and embodiment can any phase
Mutually combination.
Claims (4)
1. a kind of laser displacement sensor ranging numerical optimization, which comprises the steps of:
Step 1, one group of initial data is acquired by laser displacement sensor；
Step 2, multistage Fourier's curve matching is carried out to collected data；
Step 3, former data and matched curve carry out probability statistical analysis；
Step 4, output optimization numerical value.
2. laser displacement sensor ranging numerical optimization according to claim 1, which is characterized in that step 2 includes:
Step 2.1, initial data is characterized as one-dimension array；
Step 2.2, by one-dimension array by way of Fourier transformation, it is fitted to multistage Fourier's curve.
3. the laser displacement sensor ranging numerical optimization stated according to claim 2, which is characterized in that step 3 includes:
Step 3.1, according to initial data point, node-by-node algorithm initial data and multistage Fourier's curve absolute difference；
Step 3.2, average value, the standard deviation of all point absolute values are calculated.
4. the laser displacement sensor ranging numerical optimization stated according to claim 3, which is characterized in that step 4 includes:
Step 4.1, the size of all point point-by-point comparison absolute values and average value+0~3 times standard deviation, if the point absolute value
Less than or equal to average value+0~3 times standard deviation, then the point end value takes raw measurement data to correspond to numerical value；If the point is absolute
Value is greater than average value+0~3 times standard deviation, then the point end value takes matched curve to correspond to numerical value.
Step 4.2, all point end values are exported.
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| CN201811357395.5A CN109341544A (en) | 2018-11-15 | 2018-11-15 | A kind of laser displacement sensor ranging numerical optimization |
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| CN201811357395.5A CN109341544A (en) | 2018-11-15 | 2018-11-15 | A kind of laser displacement sensor ranging numerical optimization |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110853399A (en) * | 2019-10-12 | 2020-02-28 | 惠州市德赛西威智能交通技术研究院有限公司 | Parking space identification compensation method based on ultrasonic sensor parking space detection system |
| CN116878404A (en) * | 2023-07-27 | 2023-10-13 | 北京博科测试系统股份有限公司 | Device and method for measuring height of wheel arch on automobile assembly production line |
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| CN108287137A (en) * | 2017-12-22 | 2018-07-17 | 必欧瀚生物技术（合肥）有限公司 | A kind of baseline correction method based on piecewise polynomial fitting |
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- 2018-11-15 CN CN201811357395.5A patent/CN109341544A/en active Pending
Patent Citations (7)
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| CN104155644A (en) * | 2014-08-20 | 2014-11-19 | 西安电子科技大学 | Ranging method based on sound sensor and system thereof |
| CN105510904A (en) * | 2016-01-15 | 2016-04-20 | 西安电子科技大学 | Multifrequency hearable sound wave amplitude summation-based distance measurement method |
| CN105835902A (en) * | 2016-05-27 | 2016-08-10 | 南京理工大学 | Method for detecting diameter of wheel based on laser displacement sensors |
| CN106204497A (en) * | 2016-07-20 | 2016-12-07 | 长安大学 | A kind of pavement crack extraction algorithm based on smooth smoothed curve and matched curve |
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| CN108287137A (en) * | 2017-12-22 | 2018-07-17 | 必欧瀚生物技术（合肥）有限公司 | A kind of baseline correction method based on piecewise polynomial fitting |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110853399A (en) * | 2019-10-12 | 2020-02-28 | 惠州市德赛西威智能交通技术研究院有限公司 | Parking space identification compensation method based on ultrasonic sensor parking space detection system |
| CN116878404A (en) * | 2023-07-27 | 2023-10-13 | 北京博科测试系统股份有限公司 | Device and method for measuring height of wheel arch on automobile assembly production line |
| CN116878404B (en) * | 2023-07-27 | 2024-04-16 | 北京博科测试系统股份有限公司 | Device and method for measuring height of wheel arch on automobile assembly production line |
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