CN107478590A - A kind of method of combination motor vehicle intelligent vision identification and remote exhaust emission detection - Google Patents
A kind of method of combination motor vehicle intelligent vision identification and remote exhaust emission detection Download PDFInfo
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- 238000001514 detection method Methods 0.000 title claims abstract description 90
- 238000000034 method Methods 0.000 title claims abstract description 17
- 238000012545 processing Methods 0.000 claims abstract description 72
- 239000000779 smoke Substances 0.000 claims abstract description 37
- 238000004847 absorption spectroscopy Methods 0.000 claims abstract description 9
- 230000001133 acceleration Effects 0.000 claims description 8
- 238000004458 analytical method Methods 0.000 claims description 8
- 238000012544 monitoring process Methods 0.000 claims description 8
- 230000003068 static effect Effects 0.000 claims description 8
- 230000000007 visual effect Effects 0.000 claims description 8
- 239000003344 environmental pollutant Substances 0.000 claims description 7
- 231100000719 pollutant Toxicity 0.000 claims description 7
- 238000005259 measurement Methods 0.000 claims description 5
- 238000010223 real-time analysis Methods 0.000 claims description 3
- 230000000295 complement effect Effects 0.000 abstract description 3
- 239000007789 gas Substances 0.000 description 32
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 description 4
- 239000003546 flue gas Substances 0.000 description 4
- 238000007689 inspection Methods 0.000 description 3
- 230000003542 behavioural effect Effects 0.000 description 2
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- 235000013399 edible fruits Nutrition 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 239000003500 flue dust Substances 0.000 description 1
- 238000004868 gas analysis Methods 0.000 description 1
- 230000006698 induction Effects 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000004451 qualitative analysis Methods 0.000 description 1
- 238000004445 quantitative analysis Methods 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
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- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/33—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using ultraviolet light
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- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/3504—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing gases, e.g. multi-gas analysis
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0062—General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method or the display, e.g. intermittent measurement or digital display
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Abstract
The invention discloses the method for a kind of identification of combination motor vehicle intelligent vision and remote exhaust emission detection, it is made up of intelligent vision recognition subsystem, remote exhaust emission detection subsystem, data processing and control storage subsystem three parts, video acquisition unit is connected with video data receiving unit, video data receiving unit is connected with data processing unit, and data processing unit is connected with control centre unit, data center unit, infrared and ultraviolet absorption spectroscopy dusty gas detection unit, smoke opacity detection unit, ambient parameter measuring unit respectively；Two kinds of detection modes of the invention, which combine, to be used in combination, and is complementary to one another checking, can be effectively improved motor-vehicle tail-gas detection efficiency, improves detection success rate.
Description
Technical field
The present invention relates to the method for a kind of identification of combination motor vehicle intelligent vision and remote exhaust emission detection.
Background technology
Motor-vehicle tail-gas intelligent vision recognition detection method be using high-definition camera collection motor vehicle license board information and
Afterbody black smoke information, the relevant information of the vehicle-state on road surface is recorded by way of video using CCD video cameras
Come, and be sent in the form of sequential frame image tail gas identification and processing module, further according to the static state of exhaust gas from diesel vehicle, dynamic,
Target tail gas in image is checked, split, extracted by color characteristic, selects five optimal two field pictures, by static to it
With the analyzing and processing of behavioral characteristics, result and the lingemann blackness rank in java standard library are contrasted, provide corresponding blackness
Rank.But the detection method can not detect exhaust pollutant composition and concentration data.
Bicycle road only is only used for when detecting black smoke car using remote exhaust emission detection method, to more motor vehicles of multilane
Simultaneously by when can not detect, body structure is irregular or blast duct for vehicle position can not detected in the vehicle of afterbody, is handing over
In the case of leading to busy vehicle relatively, because environmental gas interference effect also can not accurately obtain data.
Based on above-mentioned analysis, it is necessary to which what is solved is that motor-vehicle tail-gas intelligent vision recognition detection mode can not detect tail gas dirt
The problem of contaminating thing concentration can not irregularly and in multilane environment be normally carried out with motor-vehicle tail-gas remote sensing detection in body structure
The problem of detection.
The content of the invention
In order to solve the above problems, combine the identification of motor vehicle intelligent vision the invention provides one kind and detected with remote exhaust emission
Method.
The technical scheme is that：A kind of method of combination motor vehicle intelligent vision identification and remote exhaust emission detection, by
Intelligent vision recognition subsystem, remote exhaust emission detection subsystem, data processing and control storage subsystem three parts are formed, intelligence
Vision recognition subsystem, remote exhaust emission detection subsystem are connected with data processing and control storage subsystem respectively, are adopted comprising video
Collect unit, video data receiving unit, data processing unit, data center unit, control centre's unit, infrared and UV absorption
Spectroscopic methodology dusty gas monitoring unit, smoke opacity detection unit, ambient parameter measuring unit；Video acquisition unit and video
Data receipt unit connects, and video data receiving unit is connected with data processing unit, data processing unit respectively with control
Heart unit, data center unit, infrared and ultraviolet absorption spectroscopy dusty gas detection unit, smoke opacity detection unit,
Ambient parameter measuring unit connects.
Further, concretely comprise the following steps：
（1）Automotive vehicle video data is collected by video acquisition unit, is sent to video data receiving unit, video counts
Video data is sent to data processing unit processing according to receiving unit, and Vehicular exhaust monitoring modular is to adopting in data processing unit
The visual black smoke image of vehicle tail and video data that collect carry out detection process, at the same by road conditions identification module and
Car speed and acceleration analysis module make real-time analysis to road conditions, by data processing unit to control centre's unit
Send the signal if appropriate for remote exhaust emission monitoring；When being not suitable for carrying out remote exhaust emission detection signal, control centre's unit is sent
Signal informs remote exhaust emission detection subsystem without detection；It is on the contrary then sent by data processing unit to control centre's unit
Remote exhaust emission detection signal is appropriate for, control centre's unit sends a signal to remote exhaust emission detection subsystem and normally examined
Survey；
（2）When remote exhaust emission detection subsystem carries out detection work, the video data obtained using video acquisition unit passes through number
According to the Car license recognition and processing module processing identification motor vehicle information of vehicles of processing unit, pass through infrared and ultraviolet absorption spectroscopy
Dusty gas detection unit and the exhaust gas component and content data of the detection vehicle discharge of smoke opacity detection unit, pass through environment
Humidity, temperature, air pressure and wind speed around parameter measurement unit detection site etc., then the detection data being collected into are sent
To data processing unit, data processing unit is concluded to the detection data received, handled, finally by the data after processing
Preserve to data center unit；
（3）Intelligent vision recognition subsystem detects that automotive vehicle information and vehicle tail are visual by video acquisition unit
After black smoke video and view data, static state, dynamic, color by data processing unit to tail gas in visual black smoke video information
Target tail gas in image is checked, split, extracted by feature, selects five optimal two field pictures, by static and dynamic to its
The analyzing and processing of state feature, result and the lingemann blackness rank in java standard library are contrasted, it is black to provide corresponding Ringelman
Rank is spent, the vehicle data more than Ringelman smoke intensity standard class is preserved to data center unit；
（4）Subsequent data processing unit integrates the data collected in process data center unit by intelligent vision recognition subsystem
The data collected with remote exhaust emission detection subsystem, are closed the result data that two subsystems detect according to car plate and time
And containing vehicle license plate number, Ringelman smoke intensity grade, the data of various pollutants content information by the black smoke car with the vehicle
Video association is captured, forms a detailed illegal information punishment chain of evidence of black smoke car.
Beneficial effects of the present invention：Motor vehicle intelligent vision recognition subsystem and remote exhaust emission are detected subsystem by the present invention
It is combined, motor vehicle intelligent vision recognition subsystem is combined with remote exhaust emission detection subsystem, intelligent vision identification subsystem
Unite and the Vehicular exhaust of multilane is detected, to whether being that black smoke car carries out qualitative analysis；Remote exhaust emission detection subsystem inspection
The specific pollutant component surveyed in black smoke tail gas, quantitative analysis is carried out to specific pollutant component.Two kinds of detection modes combine
It is used in combination, is complementary to one another checking, motor-vehicle tail-gas detection efficiency can be effectively improved, improves detection success rate.
Brief description of the drawings
The invention will be further described with reference to the accompanying drawings and examples.
Fig. 1 is the module diagram of the intelligent vision recognition subsystem of the present invention.
Fig. 2 is the module diagram of the remote exhaust emission detection subsystem of the present invention.
Embodiment
The embodiment of the present invention is described further below in conjunction with the accompanying drawings, the present embodiment is not formed to the present invention
Limitation.
A kind of method of combination motor vehicle intelligent vision identification and remote exhaust emission detection, including intelligent vision identification subsystem
System, remote exhaust emission detection subsystem and data processing and control storage subsystem, intelligent vision recognition subsystem and remote exhaust emission inspection
Subsystem is surveyed to be required for connecting data processing and control storage subsystem ability normal operation, data processing and control storage subsystem bag
Include data processing unit, control centre's unit, data center unit.
As shown in figure 1, intelligent vision recognition subsystem includes video acquisition unit, video data receiving unit, at data
Unit, control centre's unit, data center unit are managed, needs to carry out between each unit when intelligent vision recognition subsystem is run
Data transfer.Video acquisition unit is connected with video data receiving unit, and video data receiving unit connects with data processing unit
Connect, member is connected data processing list with control centre unit, data center unit respectively.
Video acquisition unit is industrial network video camera, and industrial network video camera is arranged on above traffic rod, taken from upper
Mode of taking a crane shot down, do not influenceed by more cars are parallel, be easy to gather black smoke tail gas video image information.The data kind of collection
Class includes license board information, car speed and acceleration information, vehicle characteristic information, vehicle exhaust information etc..
Video data receiving unit is mainly responsible for receiving the identification data of video acquisition unit, by the number after reception
According to being transferred to data processing unit.
Data processing unit operation platform is industrial computer, and data processing unit is responsible for that data are concluded and handled.Number
According to processing unit include vehicle tracking and processing module, Car license recognition and processing module, car speed and acceleration analysis module,
Road conditions identification module, Vehicular exhaust monitoring modular.
Vehicle tracking and processing module：Lane position is limited first, it is artificial to determine to need the scope detected, it is high using mixing
This model establishes background model, and the prospect that obtains is mobile vehicle, can be changed according to light and automatically adjust background model, to adapt to
The change of background, contours extract is carried out to the prospect detected, obtained profile is filled, then carry out closed operation, you can
The position of each vehicle of prospect is obtained, vehicle in video is numbered, carries out vehicle tracking.It is larger in vehicle flowrate, traffic density
When larger, vehicle is it is possible that each car can not be individually identified out, it is necessary to be changed by superposition phenomenon, prospect of the application extraction
Enter, improving content is：（1）Track is limited, it is artificial to determine to need the scope detected, in case the moving object at other positions is to prospect
Judge to produce interference；（2）The vehicle being blocked completely to tailstock portion, due to tail gas emission behaviour can not be observed completely, put
Abandon processing；（3）For shade by two cars the in the case of of linking together, using shadow model, the shade of side is removed, by vehicle
Separation.
Car license recognition and processing module：Behind the position for determining vehicle, car plate position is preset as vehicle the latter half, in car
Board presumptive area carries out gray processing, rim detection to image, then carries out horizontal sweep and the mode of vertical scanning determines car plate
Position, after positioning, Grads Sharp, Slant Rectify, upper and lower side frame removal, Character segmentation, removal blank character and the right side are carried out to car plate
Frame, obtain single character, final car plate obtained using the character recognizing method based on template matches, to obtained car plate and its
Near zone is tracked using Kalman filtering, combines vehicle tracking Synchronization Analysis, it is ensured that the correctness of vehicle tracking.
Car speed and acceleration analysis module are used for the speed and acceleration for determining inspection vehicle.
Road conditions identification module is used to judge road conditions if appropriate for progress Vehicular exhaust remote sensing detection.
Vehicular exhaust monitoring modular：In order to obtain the flue gas blackness of tail gas, under different weather, to different vehicle tail gas
Flue gas blackness is modeled, and establishes blackness inquiry database, contrast differentiation is carried out after the vehicle for having tail gas is captured, by flue gas
Blackness data recorded in associated databases, and record captures the lingemann blackness of time, the number-plate number and flue gas.
Whether control centre's unit is responsible for sending opens system for remote exhaust emission measurement instruction.
Data center unit be responsible for storing it is all handled by data processing unit after the completion of data.
As shown in Fig. 2 remote exhaust emission detection subsystem include infrared and ultraviolet absorption spectroscopy dusty gas detection unit,
Smoke opacity detection unit, ambient parameter measuring unit, data processing unit, control centre's unit, data center unit, tail
Need to carry out data transmission between each unit when gas remote sensing detection subsystem is run.It is similar with intelligent vision recognition subsystem,
The cooperation that remote exhaust emission detection subsystem needs also exist for data processing and control storage subsystem could be run.
Infrared and ultraviolet absorption spectroscopy dusty gas detection unit is responsible for carrying out pollutant to the signal of receiving terminal collection
Gas analysis is handled.
Smoke opacity detection unit is responsible for detecting the opaqueness of motor-vehicle tail-gas.
Ambient parameter measuring unit is responsible for the humidity around test position point, temperature, the detection of air pressure and wind speed etc..
Concrete operation method is：The automotive vehicle information that data processing unit detects according to video acquisition unit, lead to
Cross Vehicular exhaust monitoring modular and detection process is carried out to the visual black smoke image of vehicle tail and video data that collect, lead to simultaneously
Cross road conditions identification module and car speed and road conditions are made with real-time analysis with acceleration analysis module.Pass through video
When collecting unit carries out Tail gas measuring work, by the interference of road surface flue dust or vehicle shade itself testing result can be caused to go out
Existing error, but do not influence road conditions identification module and car speed and road conditions are made in real time with acceleration analysis module
Analyze the work of identification.When judging vehicle and lane information processing, data processing unit is to being likely to occur the detection of error
As a result verification supplement is carried out.It is more and in the case that phase mutual alternation sum blocks that road vehicle is overlooked in real-time video, passes through number
The signal for being not suitable for carrying out remote exhaust emission detection, control centre's unit control tail gas are sent to control centre's unit according to processing unit
Remote sensing detection subsystem is not turned on；It is on the contrary then sent by data processing unit to control centre's unit and be appropriate for remote exhaust emission
The signal of detection, control centre's unit control remote exhaust emission detection subsystem are opened.
Remote exhaust emission detection subsystem is opened, by infrared and ultraviolet absorption spectroscopy dusty gas detection unit and impermeable
The exhaust gas component and content data of light smoke intensity detection unit detection discharge, then send the data to data processing unit, data
Processing unit to be collected into Data induction, processing, result data is preserved to data center unit.
Intelligent vision recognition subsystem detects that automotive vehicle information and vehicle tail can by video acquisition unit
After black smoke video and view data, static state, dynamic, face by data processing unit to tail gas in visual black smoke video information
Target tail gas in image is checked, split, extracted by color characteristic, selects five optimal two field pictures, by its it is static and
The analyzing and processing of behavioral characteristics, result and the lingemann blackness rank in java standard library are contrasted, provide corresponding Ringelman
Darkness level, the most vehicle data at last more than Ringelman smoke intensity standard class are preserved to data center unit.
The data and tail that subsequent data processing unit will be collected in data center unit by intelligent vision recognition subsystem
The data that gas remote sensing detection subsystem is collected are integrated, the knot for detecting two ways according to car plate and the matching way of time
Fruit data merge.Data containing information such as vehicle license plate number, Ringelman smoke intensity grade, various pollutants contents will be with
The black smoke car of the vehicle captures video association, forms a detailed illegal information punishment chain of evidence of black smoke car.
Accomplish that the illegal activities of black smoke car are examined using motor vehicle intelligent vision recognition subsystem and remote exhaust emission detection subsystem
Measurement information is complementary to one another.
The above described is only a preferred embodiment of the present invention, being not used in the limitation present invention, those skilled in the art can
It is this to change or equally replace in the essence and protection domain of the present invention, to make various modifications or equivalent substitution to the present invention
Change and also should be regarded as in the protection domain of technical solution of the present invention.
Claims (2)
1. a kind of method of combination motor vehicle intelligent vision identification and remote exhaust emission detection, it is characterised in that：Known by intelligent vision
Small pin for the case system, remote exhaust emission detection subsystem, data processing and control storage subsystem three parts are formed, intelligent vision identification
System, remote exhaust emission detection subsystem are connected with data processing and control storage subsystem respectively, include video acquisition unit, video
Data receipt unit, data processing unit, data center unit, control centre's unit, the pollution of infrared and ultraviolet absorption spectroscopy
Gas detection cell, smoke opacity detection unit, ambient parameter measuring unit；Video acquisition unit receives single with video data
Member connection, video data receiving unit is connected with data processing unit, data processing unit respectively with control centre unit, data
Center cell, infrared and ultraviolet absorption spectroscopy dusty gas detection unit, smoke opacity detection unit, ambient parameter measurement
Unit connects.
2. a kind of combination motor vehicle intelligent vision identification according to claim 1 and the method for remote exhaust emission detection, it is special
Sign is：Concretely comprise the following steps：
（1）Automotive vehicle video data is collected by video acquisition unit, is sent to video data receiving unit, video counts
Video data is sent to data processing unit processing according to receiving unit, and Vehicular exhaust monitoring modular is to adopting in data processing unit
The visual black smoke image of vehicle tail and video data that collect carry out detection process, at the same by road conditions identification module and
Car speed and acceleration analysis module make real-time analysis to road conditions, by data processing unit to control centre's unit
Send the signal if appropriate for remote exhaust emission monitoring；When being not suitable for carrying out remote exhaust emission detection signal, control centre's unit is sent
Signal informs remote exhaust emission detection subsystem without detection；It is on the contrary then sent by data processing unit to control centre's unit
Remote exhaust emission detection signal is appropriate for, control centre's unit sends a signal to remote exhaust emission detection subsystem and normally examined
Survey；
（2）When remote exhaust emission detection subsystem carries out detection work, the video data obtained using video acquisition unit passes through number
According to the Car license recognition and processing module processing identification motor vehicle information of vehicles of processing unit, pass through infrared and ultraviolet absorption spectroscopy
Dusty gas detection unit and the exhaust gas component and content data of the detection vehicle discharge of smoke opacity detection unit, pass through environment
Humidity, temperature, air pressure and wind speed around parameter measurement unit detection site etc., then the detection data being collected into are sent
To data processing unit, data processing unit is concluded to the detection data received, handled, finally by the data after processing
Preserve to data center unit；
（3）Intelligent vision recognition subsystem detects that automotive vehicle information and vehicle tail are visual by video acquisition unit
After black smoke video and view data, static state, dynamic, color by data processing unit to tail gas in visual black smoke video information
Target tail gas in image is checked, split, extracted by feature, selects five optimal two field pictures, by static and dynamic to its
The analyzing and processing of state feature, result and the lingemann blackness rank in java standard library are contrasted, it is black to provide corresponding Ringelman
Rank is spent, the vehicle data more than Ringelman smoke intensity standard class is preserved to data center unit；
（4）Subsequent data processing unit integrates the data collected in process data center unit by intelligent vision recognition subsystem
The data collected with remote exhaust emission detection subsystem, are closed the result data that two subsystems detect according to car plate and time
And containing vehicle license plate number, Ringelman smoke intensity grade, the data of various pollutants content information by the black smoke car with the vehicle
Video association is captured, forms a detailed illegal information punishment chain of evidence of black smoke car.
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Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108335490A (en) * | 2018-03-26 | 2018-07-27 | 南京新远见智能科技有限公司 | A kind of hand-held tail gas black smoke intelligent recognition video frequency monitoring system and method |
| CN108827879A (en) * | 2018-04-19 | 2018-11-16 | 沈夕尧 | A kind of new city motor-vehicle tail-gas remote sensing monitoring method |
| CN108921147A (en) * | 2018-09-03 | 2018-11-30 | 东南大学 | A kind of black smoke vehicle recognition methods based on dynamic texture and transform domain space-time characteristic |
| CN109060695A (en) * | 2018-10-17 | 2018-12-21 | 佛山市南海区环境保护监测站（佛山市南海区机动车排气污染管理所） | The method of calibration of exhaust gas from diesel vehicle testing result accuracy |
| CN109165602A (en) * | 2018-08-27 | 2019-01-08 | 成都华安视讯科技有限公司 | A kind of black smoke vehicle detection method based on video analysis |
| CN109238987A (en) * | 2018-10-11 | 2019-01-18 | 成都中安瑞晨科技有限责任公司 | A kind of multispectral vehicle exhaust monitoring device |
| CN109409242A (en) * | 2018-09-28 | 2019-03-01 | 东南大学 | A kind of black smoke vehicle detection method based on cyclic convolution neural network |
| CN109580522A (en) * | 2018-11-20 | 2019-04-05 | 北京计算机技术及应用研究所 | A kind of automobile exhaust pollutant monitoring method merging vehicle electron identifying and video |
| CN109993098A (en) * | 2019-03-26 | 2019-07-09 | 南京新远见智能科技有限公司 | City vehicle black smoke intelligent recognition big data analysis system and method |
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| CN110514789A (en) * | 2019-08-23 | 2019-11-29 | 南京新远见智能科技有限公司 | A kind of motor-vehicle tail-gas remote sensing detection system and method using edge calculations |
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| CN111145556A (en) * | 2019-12-24 | 2020-05-12 | 湖南轩源环保科技有限公司 | Black smoke vehicle license plate recognition method, system, equipment and readable storage medium |
| CN111862621A (en) * | 2020-07-21 | 2020-10-30 | 深圳大雷汽车检测股份有限公司 | Intelligent snapshot system of multi-type adaptive black cigarette vehicle |
| CN113033981A (en) * | 2021-03-13 | 2021-06-25 | 深圳前海黑顿科技有限公司 | Motor vehicle air pollution regulation and control system and method based on cross-mode technology |
| US11054347B1 (en) | 2019-12-31 | 2021-07-06 | X Development Llc | Enhanced gas sensor selectivity |
| CN113311114A (en) * | 2021-05-27 | 2021-08-27 | 河南省计量科学研究院 | Mobile calibration detection system of tail gas remote measuring device |
| WO2022048051A1 (en) * | 2020-09-02 | 2022-03-10 | 厦门理工学院 | Beidou-based engineering vehicle exhaust emission monitoring and tracking system |
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| CN111862621B (en) * | 2020-07-21 | 2022-02-25 | 深圳大雷汽车检测股份有限公司 | Intelligent snapshot system of multi-type adaptive black cigarette vehicle |
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| CN113033981A (en) * | 2021-03-13 | 2021-06-25 | 深圳前海黑顿科技有限公司 | Motor vehicle air pollution regulation and control system and method based on cross-mode technology |
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| CN113311114B (en) * | 2021-05-27 | 2023-04-14 | 河南省计量科学研究院 | Mobile calibration detection system of tail gas remote measuring device |
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