CN208953442U - A kind of rectilinear motor-vehicle tail-gas light obscuration monitoring device - Google Patents
A kind of rectilinear motor-vehicle tail-gas light obscuration monitoring device Download PDFInfo
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- CN208953442U CN208953442U CN201821394515.4U CN201821394515U CN208953442U CN 208953442 U CN208953442 U CN 208953442U CN 201821394515 U CN201821394515 U CN 201821394515U CN 208953442 U CN208953442 U CN 208953442U
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Abstract
The utility model discloses a kind of rectilinear motor-vehicle tail-gas light obscuration monitoring devices, it include: detection host, at least two linear light sources, license plate candid camera, tailstock video cassette recorder, industrial personal computer, the detection host, linear light source, camera unit are respectively positioned on above road, the linear light source, which intersects to issue light source obliquely and be radiated on road surface, forms highlight bar band as detection zone, and the industrial personal computer controls the license plate candid camera and tailstock video cassette recorder when the vehicle passes through and carries out that license plate is taken pictures and the tailstock is recorded a video respectively；The detection light source reflected from the detection zone, which enters detection host and is converted into image data, is sent to the industrial personal computer, and industrial personal computer carries out identification output to the light obscuration of image and determines as a result, simultaneously uploading result and the photo of shooting, video.The present apparatus can effectively determine whether black smoke while calculating tail gas light obscuration, improve the accuracy rate of black smoke identification, reduce False Rate.
Description
Technical field
The utility model belongs to telemetering motor vehicle tail field, in particular to a kind of rectilinear motor-vehicle tail-gas light obscuration
Monitoring device.
Background technique
As people require increasingly to improve to atmospheric environment, the motor-vehicle tail-gas as one of atmosphere pollution important sources is arranged
Put and also get more and more attention, and the monitoring and control for black smoke vehicle have become vehicular emission task of supervision center of gravity it
One.There is the following aspects to the regulatory measure of black smoke vehicle at present:
1) pedestrian reports:
The black smoke vehicle video or picture on the way directly shot by citizen is collected evidence, but since vehicle is being run over
Cheng Zhong, what is artificially shot is ineffective, and more difficult acquisition license board information, has larger contingency, execution efficiency is lower.
2) video monitoring:
It is captured or is recorded a video by video monitoring, data upload to backstage, then use manual examination and verification or image recognition, mode
Training carries out the methods of the examination of black smoke vehicle, extracts the black smoke vehicle in monitor video or image；Manual examination and verification are time-consuming and laborious, efficiency
It is not high, and screened automatically by image recognition or pattern drill algorithm, black smoke vehicle screening efficiency can be improved to a certain extent, but
Since background difference is excessive, there is also limitation in terms of algorithm, there is higher False Rate, and cannot work at night substantially.
3) laser remote sensing:
It is measured using tail gas smoke opacity of the laser telemetry technology to vehicle, precision with higher and accurate
Property, but the instrument of horizontal optical path wouldn't can solve the parallel problem of more vehicles at present, and the instrument of vertical optical path needs ground to install
Reflectorized material is safeguarded more difficult.
Utility model content
The purpose of this utility model is aiming at the shortcomings in the prior art, it is opaque to provide a kind of rectilinear motor-vehicle tail-gas
Monitoring device is spent, present apparatus combination optical remote sensing means and machine learning algorithm can while calculating tail gas light obscuration
Black smoke is effectively determine whether, the accuracy rate of black smoke identification is improved, reduces erroneous judgement, and device does not need that reflective dress is arranged on ground
It sets, it can continuous work round the clock.
Realize that the technical solution of the utility model is a kind of rectilinear motor-vehicle tail-gas light obscuration monitoring device, it is described
Device includes: detection host, at least two linear light sources, license plate candid camera, tailstock video cassette recorder, industrial personal computer, wherein institute
It states detection host, linear light source, camera unit to be respectively positioned on above road, the linear light source intersects sending light source obliquely and is radiated at road
Highlight bar band is formed on face as detection zone, the industrial personal computer controls the license plate candid camera when the vehicle passes through
And tailstock video cassette recorder carries out license plate respectively and takes pictures and tailstock video recording, and the photo of shooting and video is sent to the industry control
Machine；
The detection light source reflected from the detection zone enters detection host and is converted into image data and is sent to the industry control
Machine, the industrial personal computer receives the image data, and carries out identification output to the light obscuration of image and determine as a result, simultaneously by the knot
Fruit stores or uploads after being matched with the vehicle by the photo of shooting, video.
Further, the industrial personal computer is as follows to the decision process of described image data:
Preliminary judgement is carried out using image data of the Gauss curve fitting method to transmission, identifies most of smokeless or abnormal number
According to；
To a large amount of light obscuration picture samples of collection, machine learning model training is carried out, by inputting trained mould
Shape parameter classifies to the picture of transmission.
Further, the detection host includes: the planar array detector set gradually from top to bottom, filter plate, is imaged thoroughly
Mirror, the detection light source issued from the detection zone is focused by the imaging len and the entering surface after filter plate filtering
Received light source image data are transferred to the industrial personal computer with the working frequency set by array detector, the planar array detector.
Further, the linear light source is two highlighted LED line light sources, and is fixed on the detection host lower end surface two
Side, two LED light sources are radiated at the detection light source that road surface is reflected upwards and enter detection from the neutral gear between two linear light sources
The imaging len of host.
Further, the industrial personal computer receives after the image data that the planar array detector is sent, not according to image
The light transmittance big minor adjustment time for exposure.
Further, it is also equipped with temperature control module in the detection host, for monitoring and adjusting the temperature in detection host
Humidity.
Compared with prior art, the utility model has the following technical effect that
1, it using highlighted LED line light source, can work within 24 hours round the clock；
2, rectilinear detection avoids vehicle parallel interference, does not need ground return device；
3, detection zone image is obtained using area array CCD, can effectively obtains plume dispersion picture；
4, basic using smoke opacity picture as picture classification, background difference is small, can effectively distinguish plume；
5, it is combined using the secondary judgement of plume, can effectively reduce False Rate；
6, exportable plume light obscuration, precision are higher.
Detailed description of the invention
Fig. 1 is the structural representation of the rectilinear motor-vehicle tail-gas light obscuration monitoring device in the utility model embodiment
Figure.
Fig. 2 is the work flow diagram of the industrial personal computer in the utility model embodiment.
Fig. 3 is the schematic diagram of the typical light obscuration image in the utility model embodiment.
Specific embodiment
Below in conjunction with attached drawing, the technical scheme in the utility model embodiment is clearly and completely described, but not
As the restriction to the utility model.
Shown in referring to Fig.1, a kind of rectilinear motor-vehicle tail-gas light obscuration monitoring disclosed in the utility model embodiment
Device, comprising: detection host 1, temperature control module 2, planar array detector 3, filter plate 4, imaging len 5, LED line light source 6, tailstock view
Frequency video recorder 11, license plate candid camera 12, industrial personal computer 13.
In the present embodiment, there are two the settings of LED line light source 6, is certainly not limited to two, also is located at upper pavement surface, more
Specifically, which is installed on the lower end two sides of detection host 1, and two LED line light sources 6 are thrown obliquely respectively
Light source is penetrated, in road surface, the intersection of two-beam source is overlapped, and forms a highlighted region, the region is i.e. as detection motor-driven vehicle
The region of gas is upwardly into detection host from the scattering light that detection zone is reflected back.In the present embodiment, LED line light source 6 is along X
Direction, the highlight bar band that being aimed downwardly from 5m high can form on road surface 7 is rectangle, is about 3m, wide about 0.3m, which is
It is designed according to the width of bicycle road, so can effectively ensure that the service efficiency of light source.Certainly, those skilled in the art answer
When understanding is adjusted according to different roads width by the angle to linear light source, can be changed highlight bar band length,
The length and width of width, the detection zone so set can be adaptively adjusted.
In the present embodiment, the temperature control module 2, planar array detector 3, filter plate 4, imaging len 5 are respectively positioned on detection host
Interior, detection host 1 is located at upper pavement surface, and detection 1 shell of host is made of waterproof material.Detect the temperature control module 2 in host 1
For monitoring the operating temperature in control host, guarantee detector 3 in the working environment of matters, specifically, temperature controls
Using inner loop mode, including freezes and heat both of which；Refrigeration mode is opened when main built-in temperature is more than 30 degree, works as master
Machine temperature is lower than 20 degree of unlatching heating modes, guarantees that detector 3 works between its best effort environment temperature 20-30 degree.Institute
It states planar array detector 3, filter plate 4, imaging len 5 to set gradually from top to bottom, is respectively positioned on the central location of detection host 1.From
The scattering light launched in detection zone first passes through imaging len 5 and carries out light source aggregation, then passes through 4 filtering clutter of filter plate
Afterwards, enter in planar array detector 3, the planar array detector 3 using the face CCD battle array, face battle array pixel elements at two-dimensional array, light source at
As behind the surface CD, optical signal conversion is to export after electric signal.Planar array detector 3 at work, in the time of integration of setting
It is interior that optical signal is sampled by photosensitive unit, by the power of light be converted to each photosensitive unit charge how much, after sampling
Each photosensitive unit charge is transferred in the corresponding units of shift register by TG transfer gate, effect of the shift register in driving clock
Under, signal charge is sequentially transferred to output end by output signal and is connected to oscillograph, image display or other signals storage, place
It manages in equipment, so that it may to signal reproduction or carry out storage processing.In the present embodiment, the planar array detector pixel number is 420*
640, image data is continuously transmitted to industrial personal computer 13 with the frequency of 40Hz or more.
In addition, being additionally provided with license plate candid camera 12, tailstock video cassette recorder 11 above road, they connect respectively
The industrial personal computer 13 is connect, connection herein can be wired connection or wireless connection, wherein the license plate candid camera 12 is set
In the back upper place for the detection zone that automobile passes through, when vehicle region 8 after testing, light intensity number that planar array detector 3 detects
It is detected according to industrial personal computer 13 is issued to, when industrial personal computer 13 detects that light intensity data changes, i.e., license plate candid photograph is taken the photograph
Camera 12 and tailstock video cassette recorder 11 send corresponding instruction, and control license plate candid camera 12 carries out the license plate of the vehicle
It captures, forms more secondary continuous images, while controlling tailstock video cassette recorder 11 and starting to record the video of vehicle process, for taking
Card.The image and video data of shooting are sent to industrial personal computer 13 in real time, are stored, as corresponding evidence.
Industrial personal computer (i.e. industrial control computer) 13 connects the detection host 1, is mainly used for transmitting detection host 1
Vehicle after testing region when intensity image identified and assert, industrial personal computer 13 receive planar array detector 3 transmission number
After stream, the time for exposure is automatically adjusted after a series of judgements, industrial personal computer 13 continuously receives the data from planar array detector 3
Stream, judges whether (700-900) in a certain range the maximum value of each frame data, and detector light intensity value range is 0-
1024, if continuous n frame maximum value sends the time for exposure that order adjusts detector, wherein n value not in setting range
It is set according to frame per second and real-time time for exposure, so guarantees that equipment can work normally under different illuminance, the industrial personal computer
13 inside have processor and a memory, the processor be configured to execute it is described above " intensity image identification assert,
And the time for exposure " etc. decision process.When vehicle passes through, Car license recognition and video recording order are sent, while before storing vehicle excessively
Light intensity data (brightness for the image data that light intensity data is sended over by planar array detector determines) afterwards, after calculating vehicle
Light obscuration.Practical study show the plume 9 of most of obvious black smoke vehicle after testing region when, light obscuration is in the Y direction
On be distributed as nearly Gaussian Profile, find that obvious plume is mainly shown as Gaussian Profile in the Y direction by data accumulation analysis, lead to
Cross Gauss models fitting analysis parameters, hence it is evident that the degree of fitting of plume will be apparently higher than ambient noise and shade, therefore pass through
Most of smokeless and abnormal data can be excluded by setting certain limit value.The utility model is using Gauss curve fitting method first to not
Light transmission smoke intensity data carry out preliminary judgement, identify most of without plume or abnormal data；Simultaneously because industrial personal computer has collected greatly
Light obscuration picture sample is measured, machine learning training neural network based is carried out, is illustrated in figure 3 in 3 typical opaque
Spend picture.It can be seen from the figure that the light obscuration picture obtained has more single background, and plume and abnormal data
(shade) has apparent difference, can effectively be classified to such picture by inputting trained model parameter, to mention
High plume differentiates accuracy rate, can upload the image data that can not be judged by artificial judgment, be then added to training pattern
Re-start training.To finally determine that result and corresponding smoke opacity data are matched with license plate and video recording, store or
It uploads, wherein smoke opacity is used to describe the degree to decay after light is rolled into a ball by cigarette, and numberical range is between 0-100%.Such as
This, can accurately judge whether the tail gas of vehicle is black smoke, if meet vehicle emission standards.
A kind of rectilinear motor-vehicle tail-gas light obscuration monitoring device disclosed in the utility model embodiment, in conjunction with optics
Remote sensing and machine learning algorithm can effectively determine whether black smoke while calculating tail gas light obscuration, improve black
The accuracy rate of cigarette identification, reduces erroneous judgement, and system does not need ground reflex reflector, can continuous work round the clock.
Although combining preferred embodiment that the utility model is described above, those skilled in the art should be managed
Solution, method and system described in the utility model is not limited to embodiment described in specific embodiment, without departing substantially from by institute
It, can various modification can be adapted, increases to the utility model in the case where the spirit and scope of the utility model that attached claims limit
Add and replaces.
Claims (4)
1. a kind of rectilinear motor-vehicle tail-gas light obscuration monitoring device, which is characterized in that described device include: detection host,
Two linear light sources, license plate candid camera, tailstock video cassette recorder, industrial personal computer, wherein the detection host, linear light source, camera shooting
Unit is respectively positioned on above road, and the linear light source, which intersects to issue light source obliquely and be radiated on road surface, forms highlight bar band as inspection
Survey region, the industrial personal computer controlled when the vehicle passes through the license plate candid camera and tailstock video cassette recorder respectively into
Driving board is taken pictures and tailstock video recording, and the photo of shooting and video data are sent to the industrial personal computer；
The detection light source reflected from the detection zone enters detection host and is converted into image data and is sent to the industrial personal computer, institute
State industrial personal computer and receive the image data, and to the light obscuration of image carry out identification output determine as a result, simultaneously by the result with
The vehicle is stored or is uploaded after the photo of shooting, video are matched.
2. rectilinear motor-vehicle tail-gas light obscuration monitoring device as described in claim 1, which is characterized in that the detection master
Machine includes: the planar array detector, filter plate, imaging len set gradually from top to bottom, the detection issued from the detection zone
Light source is focused by the imaging len and enters planar array detector after filter plate filtering, and the planar array detector will connect
The light source image data of receipts are transferred to the industrial personal computer with the working frequency set.
3. rectilinear motor-vehicle tail-gas light obscuration monitoring device as claimed in claim 2, which is characterized in that the linear light source
For two highlighted LED line light sources, and the detection host lower end surface two sides are fixed on, two LED light sources are radiated at road
What is reflected upwardly detects light source from the imaging len for entering detection host between two linear light sources.
4. rectilinear motor-vehicle tail-gas light obscuration monitoring device as claimed in claim 2, which is characterized in that the detection master
Temperature control module is also equipped in machine, for monitoring and adjusting the temperature and humidity in detection host.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201821394515.4U CN208953442U (en) | 2018-08-28 | 2018-08-28 | A kind of rectilinear motor-vehicle tail-gas light obscuration monitoring device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201821394515.4U CN208953442U (en) | 2018-08-28 | 2018-08-28 | A kind of rectilinear motor-vehicle tail-gas light obscuration monitoring device |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109085123A (en) * | 2018-08-28 | 2018-12-25 | 安徽宝龙环保科技有限公司 | A kind of rectilinear motor-vehicle tail-gas light obscuration monitoring device |
| CN112782128A (en) * | 2020-12-30 | 2021-05-11 | 安徽宝龙环保科技有限公司 | Optical linearization structure and method for improving smoke intensity nonlinearity of tail gas remote measuring device |
-
2018
- 2018-08-28 CN CN201821394515.4U patent/CN208953442U/en active Active
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109085123A (en) * | 2018-08-28 | 2018-12-25 | 安徽宝龙环保科技有限公司 | A kind of rectilinear motor-vehicle tail-gas light obscuration monitoring device |
| CN112782128A (en) * | 2020-12-30 | 2021-05-11 | 安徽宝龙环保科技有限公司 | Optical linearization structure and method for improving smoke intensity nonlinearity of tail gas remote measuring device |
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