CN202024878U - Device for testing scraping ability of windshield wiper - Google Patents
Device for testing scraping ability of windshield wiper Download PDFInfo
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- CN202024878U CN202024878U CN2010206914066U CN201020691406U CN202024878U CN 202024878 U CN202024878 U CN 202024878U CN 2010206914066 U CN2010206914066 U CN 2010206914066U CN 201020691406 U CN201020691406 U CN 201020691406U CN 202024878 U CN202024878 U CN 202024878U
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- scraping
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- wiper
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Abstract
The utility model discloses a device for testing the scraping ability of a windshield wiper, and solves the problem that a conventional testing method cannot objectively evaluate the working quality of a windshield wiper product. The testing device comprises a computer measurement and control system, an intelligent rainfall simulation system, a testing stand, and a camera system, wherein a testing glass in inclined placement and simulating using site and a windshield wiper arranged on the testing glass are arranged on the testing stand placed below the spray nozzle of the intelligent rainfall simulation system, the camera lens of the camera system is arranged at the inner side of the testing glass and directly faces the scraping format of the windshield wiper, the data input end of the computer measurement and control system is connected with the image data output end of the camera system, and the control signal output end of the computer measurement and control system is connected with the control signal input end of the intelligent rainfall simulation system. The device employs a computer to collect a plurality of state parameters of a windshield wiper device, preserves environment conditions corresponding to scraping rates, and provides a powerful tool for the adjustment and research of a product.
Description
Technical field
The utility model relates to the proving installation to automobile, aviation, bullet train windscreen wiper device scraping ability.
Background technology
Aviation, automobile, bullet train windscreen wiper device are to be to prevent to install clearly because of weather conditions cause to block sight line and influence the guarantee driver's seat that uses in the visual field means of transport operation phase.Windscreen wiper device is to ensure extremely important, the very important system of means of transport security of operation.The evaluation of windscreen wiper device work quality can be considered to assess its scraping rate by the windscreen wiper product that dispatches from the factory is done test experiments.
But at present, do not possess the ability of building the professional test system, do not reach the effect of in-site modeling test about the testing experiment of windscreen wiper product; Test result randomness is bigger, does not still have the objective evaluation foundation of unified quantizating index as its work quality; Also therefore can't do targetedly windscreen wiper device and improve according to test result.
The utility model content
The utility model aims to provide a kind of proving installation of windscreen wiper scraping ability, to solve the effect that conventional test methodologies does not reach the in-site modeling test, and can't be to the problem of windscreen wiper product work quality objective evaluation.
The technical solution of the utility model is as follows:
The method of testing of windscreen wiper scraping ability may further comprise the steps:
(1) it is on glass the windscreen wiper product to be installed on clean test;
(2) take the test glass of this cleaning, calculate its gradation of image average as standard grayscale average J
b
(3) simulated rainfall is obtained some width of cloth realtime graphics with the shooting of 10-30 times of wiper frequency, draws some realtime graphic gray average J
x
(4) each width of cloth realtime graphic gray average and standard grayscale average are compared, as scraping ability technical indicator function parameters, calculate the technical indicator functional value that every width of cloth realtime graphic embodies with each width of cloth realtime graphic gray average and standard grayscale average respectively;
(5) each scraping ability technical indicator functional value that obtains according to step (4) is selected the value that wherein embodies best scraping effect and is referred to target value as the general technical of windscreen wiper scraping ability.
The described technical indicator function of above-mentioned steps (4) is
Δ J wherein
xDifference for each width of cloth realtime graphic gray average and standard grayscale average.
The described technical indicator function of above-mentioned steps (4) is
J wherein
wBe standard grayscale average value standard deviation, dJ
xDifference for each width of cloth realtime graphic gray average standard deviation and standard grayscale average value standard deviation.Therefore, described final technical indicator is the maximal value P that gets in each technical indicator functional value that step (4) draws
g(J
x)
Max
The described simulated rainfall of above-mentioned steps (3) is to adopt dark test fluid as " rain ".
The described simulated rainfall of above-mentioned steps (3) is by the direction of computer simulation of intelligence control rainfall, the size and the wind speed of rainfall.
The described value that wherein embodies best scraping effect of selecting of above-mentioned steps (5) is the P by the new realtime graphic that will obtain at every turn
g(J
x) value and the P of last piece image
g(J
x) be worth relatively size, select higher value.
This proving installation comprises computer measurement and control system, artificial intelligence rainfall system, test-bed and camera system, and the described test-bed that is positioned at the mouth spray below of artificial intelligence rainfall system is provided with the practical on-the-spot tilted-putted test glass of simulation and is installed on this test windscreen wiper on glass; The pick-up lens of described camera system is arranged at described test glass inner side and over against windscreen wiper wiper breadth; The data input pin of computer measurement and control system is connected with camera system view data output terminal, and the control signal output ends of computer measurement and control system is connected with the signal input end of artificial intelligence rainfall system.
The degree of tilt of test glass is also realized by computer measurement and control system control on the above-mentioned test-bed.
Above-mentioned camera system is the collecting image of computer system.
The utlity model has following advantage:
1, this method of testing is introduced test with image processing techniques, has proposed the method for a new measurement scraping rate, uses the combined value relevant with the Flame Image Process gray average to represent the scraping rate, can be used as industry standard.
2, the rainfall situation of various states is simulated by the intelligent rainfall of use system, but follow-on test scraping rate.
3, use a computer and gather the various state parameters of Wiper system, preserves the ambient conditions corresponding, for the adjustment of product, the strong instrument that provides is provided with the scraping rate.
Description of drawings
Fig. 1 is the utility model device overall schematic;
Fig. 2 is the critical piece synoptic diagram of the utility model image acquisition link;
Fig. 3 is rain brush wiper breadth and takes the breadth synoptic diagram;
Fig. 4 is the rain brush wiper procedural image record of one-period;
Fig. 5 calculates the process flow diagram of scraping rate for using method of the present utility model;
Fig. 6 is an embodiment effect synoptic diagram of the present utility model; Wherein, the straight block diagram of gradation of image average when a is standard cleaning glass, the straight block diagram of gradation of image average when b works for the rain brush wiper.
Label declaration in the accompanying drawing 4: 1-Wiper system; 2-glass; The 3-video camera.
Embodiment
The utility model test system building platform mainly contains: intelligent rainfall simulation system, computer acquisition system, image collection processing system and windscreen wiper mechanical stage rack device.Windscreen wiper mechanical stage rack device is windscreen wiper glass and Wiper system fixedly.Total system as shown in Figure 1.The utility model carries out under the artificially-simulated rainfall situation.The structure of Wiper system, windshield and video camera as shown in Figure 2.The intelligence rainfall simulation system will utilize frequency conversion control technique accurately to control the simulated rainfall amount.Computer acquisition and image capturing system images acquired are carried out image processing and analyzing and are determined scraping rate index.By above-mentioned experimental procedure Wiper system is carried out the scraping rate and detect, calculate, determine to scrape brushing effects.
Consider to set up " scraping rate " important technology index as the windscreen wiper product, promptly the work efficiency of windscreen wiper device mainly can be weighed by the scraping rate.Therefore, this windscreen wiper scraping rate method of testing has originality, is a kind of brand-new measuring method.This method of testing design high starting point cooperates advanced rainfall, wind tunnel simulation system and computer detection system, and is significant to research and development of products, check.
Method of testing is introduced video camera and computer image processing technology in the test of scraping rate, the image of video camera survey record Wiper system work operational process and the clean glass image of standard are compared, be partial to the ratio of clean glass with the work procedural image and represent the scraping rate, with the quality of reflection Wiper system work quality; Also can consider to increase again the image of one group of dirt (unclean) glass as another reference standard.
For outstanding image processing effect, the method is used blue test fluid, the simulated rainfall rainwater, and image comparison is stronger like this, and Wiper system test effect is better.
Concrete method of testing relates to following components:
1, accurately simulate rainfall control: system controls the size of rainfall amount by computer simulation of intelligence rainfall control system, for test provides the various required large, medium and small accurately condition of raining that wait.
2, dynamic test process: rain brush wiper frequency is between per minute 60～120 times usually.Just p.s. 1～2 time speed.Native system will be provided with takes 20 p.s., 20 photos of per second just, and in the whole rain brush course of work, different wiper angles all have picture record, process such as Fig. 3, Fig. 4 like this.Then, system is calculated every pictures, and wiper work different angles and wiper area are carried out the calculating of scraping rate, and choosing the highest picture of scraping rate and state is exactly rain brush scraping state.
Wiper angle and wiper brush sheet pressure all have very big relation with the scraping rate, adjust by brush sheet pressure, and the scraping rate is carried out repeated measurement, just can determine the best brush sheet pressure of product, just can make the scraping rate of product best.
3, light environment is considered: Flame Image Process and light environment have very big relation, so, this method is exactly that the clean picture of actual measurement standard is as the test basis before adopting each experiment, then, with the picture in the course of work in contrast, determine the scraping rate, so just eliminated the disturbing factor of light environment.
Concrete operations such as Fig. 5 comprise following step:
(1) it is on glass the windscreen wiper product to be installed on clean test;
(2) take the test glass image of this standard cleaning, calculate its gradation of image average as standard grayscale average J
b
(3) simulated rainfall system operation, Wiper system work;
(4) take continuously, the capture rate of frame obtains 20 width of cloth realtime graphics with p.s.s 20, and calculates the real-time gray average J of these pictures
x
(5) gray average and the normal pictures gray average that takes out pictures calculating picture carries out difference operation,
ΔJ
x＝(J
b-J
x)；
(6) calculate the scraping rate of this picture wiper state:
(7) this scraping rate value compares with as calculated scraping rate value, with the picture scraping rate value record of the maximum P that gets off
g(J
x)
Max
(8) carrying out 20 pictures detects, relatively finishes and do not judge.If there has not been the step of skipping to (4), carries out next pictures and calculate.If finish operation next step (9) after testing.
(9) relatively obtain optimum value scraping rate, this scraping rate is exactly final scraping rate of test this time, refers to target value as the general technical of tested windscreen wiper scraping ability.
When numerical evaluation, also can adopt the gray average standard deviation as calculating parameter, promptly
J wherein
wBe standard grayscale average value standard deviation, dJ
xDifference for each width of cloth realtime graphic gray average standard deviation and standard grayscale average value standard deviation.
In addition, can consider to strengthen dark test fluid survey record: open blue test fluid to windshield water spray, rainfall, use blue test fluid.Wiper system work, picture under the dark test fluid situation of records photographing, the picture contrast effect is more obvious, calculates this special scraping rate by above computing formula.
Fig. 6 is the windshield of a santana and the test case of wiper, embodies it and scrapes brushing effects, and through substantive test, the technician has determined the standard of technical indicator.
One, if according to the scraping rate calculating formula of gray average as calculating parameter
The value P that draws
g(J
x)＞90% o'clock, it is qualified to be considered as the wiper product.Table 1 statistics draws this kind scraping rate of this wiper, the P that table 1 obtains
g(J
x) value shows that this wiper is specification product.
Table 1
| Sequence number | Picture | Gray average | The |
| 1 | The neatness standard image | 128.2 | -- |
| 2 | Images acquired during wiper | 135.7 | 94％ |
Two, if according to the scraping rate calculating formula of gray average standard deviation as calculating parameter
The value P that draws
g(J
x)＞85% o'clock, it is qualified to be considered as the wiper product.Table 2 statistics draws this kind scraping rate of this wiper, the P that table 2 obtains
g(J
x) value shows that this wiper is specification product.
Table 2
Claims (3)
1. the proving installation of a windscreen wiper scraping ability, it is characterized in that: this proving installation comprises computer measurement and control system, artificial intelligence rainfall system, test-bed and camera system, and the described test-bed that is positioned at the mouth spray below of artificial intelligence rainfall system is provided with the practical on-the-spot tilted-putted test glass of simulation and is installed on this test windscreen wiper on glass; The pick-up lens of described camera system is arranged at described test glass inner side and over against windscreen wiper wiper breadth; The data input pin of computer measurement and control system is connected with camera system view data output terminal, and the control signal output ends of computer measurement and control system is connected with the signal input end of artificial intelligence rainfall system.
2. the proving installation of windscreen wiper scraping ability according to claim 1 is characterized in that: the degree of tilt of test glass is also realized by computer measurement and control system control on the described test-bed.
3. the proving installation of windscreen wiper scraping ability according to claim 2 is characterized in that: described camera system is the collecting image of computer system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010206914066U CN202024878U (en) | 2010-12-30 | 2010-12-30 | Device for testing scraping ability of windshield wiper |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010206914066U CN202024878U (en) | 2010-12-30 | 2010-12-30 | Device for testing scraping ability of windshield wiper |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN202024878U true CN202024878U (en) | 2011-11-02 |
Family
ID=44849822
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2010206914066U Expired - Fee Related CN202024878U (en) | 2010-12-30 | 2010-12-30 | Device for testing scraping ability of windshield wiper |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN202024878U (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102141470A (en) * | 2010-12-30 | 2011-08-03 | 西安庆安电气控制有限责任公司 | Test method of scraping capability of windscreen wiper and device thereof |
| CN102735453A (en) * | 2012-06-14 | 2012-10-17 | 浙江胜华波电器股份有限公司 | Method and device for mounting test simulating rack of wiper |
| CN108332980A (en) * | 2018-05-09 | 2018-07-27 | 汽-大众汽车有限公司 | A kind of car electrics automatic test device and method |
| CN109466510A (en) * | 2018-11-19 | 2019-03-15 | 厦门理工学院 | Rain shaving blade adhesive tape fault detection method and detection system based on rainwater residual scratch |
| CN113970427A (en) * | 2020-07-22 | 2022-01-25 | 张家港保税区达安进口汽车检验有限公司 | Automobile wiper test method and control system |
| US20220058810A1 (en) * | 2020-08-20 | 2022-02-24 | Robert Bosch Gmbh | Test system and test method for windshield wipers |
-
2010
- 2010-12-30 CN CN2010206914066U patent/CN202024878U/en not_active Expired - Fee Related
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102141470A (en) * | 2010-12-30 | 2011-08-03 | 西安庆安电气控制有限责任公司 | Test method of scraping capability of windscreen wiper and device thereof |
| CN102735453A (en) * | 2012-06-14 | 2012-10-17 | 浙江胜华波电器股份有限公司 | Method and device for mounting test simulating rack of wiper |
| CN102735453B (en) * | 2012-06-14 | 2015-03-25 | 浙江胜华波电器股份有限公司 | Method and device for mounting test simulating rack of wiper |
| CN108332980A (en) * | 2018-05-09 | 2018-07-27 | 汽-大众汽车有限公司 | A kind of car electrics automatic test device and method |
| CN108332980B (en) * | 2018-05-09 | 2023-10-17 | 一汽-大众汽车有限公司 | Automatic testing device and method for automobile electrical appliances |
| CN109466510A (en) * | 2018-11-19 | 2019-03-15 | 厦门理工学院 | Rain shaving blade adhesive tape fault detection method and detection system based on rainwater residual scratch |
| CN113970427A (en) * | 2020-07-22 | 2022-01-25 | 张家港保税区达安进口汽车检验有限公司 | Automobile wiper test method and control system |
| US20220058810A1 (en) * | 2020-08-20 | 2022-02-24 | Robert Bosch Gmbh | Test system and test method for windshield wipers |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20111102 Termination date: 20151230 |
|
| EXPY | Termination of patent right or utility model |