CN211122510U - Standard gas generating device for pollution determination calibration vehicle and pollution determination calibration vehicle - Google Patents

Standard gas generating device for pollution determination calibration vehicle and pollution determination calibration vehicle Download PDF

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Publication number
CN211122510U
CN211122510U CN201920913040.3U CN201920913040U CN211122510U CN 211122510 U CN211122510 U CN 211122510U CN 201920913040 U CN201920913040 U CN 201920913040U CN 211122510 U CN211122510 U CN 211122510U
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gas
standard
tail gas
vehicle
configuration
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陈莉
杨春江
李道柱
胡劲松
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Shenzhen Dalei Automobile Testing Co ltd
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Shenzhen Dalei Automobile Testing Co ltd
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Abstract

The utility model relates to a pollute and judge calibration vehicle and standard gas generating device, standard gas generating device including the standard gas distribution subassembly that is used for disposing the tail gas of standard concentration, be used for adjusting the gaseous flow control subassembly of the tail gas outflow's of standard gas distribution subassembly configuration speed, be used for adjusting the gaseous temperature control subassembly of the tail gas temperature that gaseous flow control subassembly flows, with the tail gas simulation automobile exhaust pipe exhaust's that gaseous temperature control subassembly flows simulation exhaust apparatus and configuration subassembly. And the configuration input unit of the configuration component sends configuration information to the standard gas distribution component, sends regulation information to the gas flow control component and the gas temperature control component, and controls the starting and stopping of the simulated exhaust device. The standard gas generating device controls the discharge amount of the connection between the standard gas device and the dilution gas device, tail gas is configured according to standard requirements, the content and proportion of the tail gas can be configured according to requirements, the tail gas with different standards is met, and the standard gas generating device is suitable for different tail gas measurement standards.

Description

Standard gas generating device for pollution determination calibration vehicle and pollution determination calibration vehicle
Technical Field
The utility model relates to a vehicle exhaust detection area, more specifically say, relate to a standard gas generating device and pollution judgement calibration vehicle for the vehicle are judged to pollute.
Background
When carrying out vehicle exhaust measurement among the correlation technique, the tail gas that the direct measurement vehicle blast pipe discharged usually, different cars, harmful gas's content can be different usually in the tail gas, and harmful gas's content also can be different in the tail gas that same car different periods discharged leads to when carrying out vehicle exhaust measurement, and harmful gas's content is difficult to control in the tail gas, has influenced the judgement to measuring result for measured data is inaccurate.
SUMMERY OF THE UTILITY MODEL
The to-be-solved technical problem of the utility model lies in providing a standard gas generating device for vehicle is markd in pollution judgement and pollutes and judge the vehicle of demarcation.
The utility model provides a technical scheme that its technical problem adopted is: constructing a standard gas generating device for a pollution judgment calibration vehicle, which comprises a standard gas distribution component for configuring tail gas with standard concentration, a gas flow control component for adjusting the outflow speed of the tail gas configured by the standard gas distribution component, a gas temperature control component for adjusting the temperature of the tail gas flowing out of the gas flow control component, a simulated exhaust device for simulating the tail gas flowing out of the gas temperature control component to be exhausted from a tail gas pipe of the automobile, and a configuration component;
the standard gas distribution assembly, the gas flow control assembly, the gas temperature control assembly and the simulated exhaust device are sequentially connected;
the configuration component comprises a configuration input unit and a configuration output unit;
the configuration input unit is respectively in communication connection with the standard gas distribution assembly, the gas flow control assembly, the gas temperature control assembly and the simulated exhaust device so as to send configuration information to the standard gas distribution assembly, send adjustment information to the gas flow control assembly and the gas temperature control assembly and control the starting and stopping of the simulated exhaust device;
the configuration output unit is in communication connection with a vehicle-mounted smart card on the calibration vehicle so as to transmit data out.
Preferably, the standard gas distribution assembly comprises a standard gas device for storing compressed tail gas and a diluent gas device for storing diluent gas to be mixed with tail gas released by the standard gas device.
Preferably, the gas flow control assembly comprises two gas flow controllers connected to the standard gas plant and the dilution gas plant, respectively, to control the discharge of the standard gas plant and the dilution gas plant, respectively.
Preferably, the standard gas device comprises a plurality of storage bins for storing different tail gases, so that the tail gases can be discharged separately or in a mixed manner.
Preferably, the gas flow control assembly comprises a plurality of gas flow controllers respectively connected to each of the storage bins and the dilution gas device, so as to proportionally mix different tail gases and dilution gases.
Preferably, the gas flow control assembly further comprises a gas flow measurement feedback device communicatively coupled to the gas flow controller to send the outflow rate information to the configuration assembly.
Preferably, the gas temperature control assembly includes a gas temperature adjusting device connected to the gas flow controller to adjust the temperature of the discharged gas.
Preferably, the gas temperature control assembly further comprises a gas temperature measurement feedback device in communication connection with the gas temperature adjustment device to send the adjusted temperature information to the configuration assembly.
Preferably, the configuration component further comprises a configuration storage unit in communication connection with the configuration input unit and the configuration output unit respectively.
A pollution judgment calibration vehicle comprises the standard gas generating device.
Implement the utility model discloses a standard gas generating device for vehicle is judged to mark in pollution and the vehicle is judged to mark in pollution has following beneficial effect: the standard gas generating device can control the discharge amount of the connection of the standard gas device and the dilution gas device so as to configure tail gas according to standard requirements, the content and proportion of the tail gas can be configured according to requirements, the tail gas with different standards can be met, and the standard gas generating device is suitable for different tail gas measurement standards.
Drawings
The invention will be further explained with reference to the drawings and examples, wherein:
FIG. 1 is a block schematic diagram of a motor vehicle exhaust telemetry and supervision system in an embodiment of the invention;
FIG. 2 is a schematic diagram of the installation of an exhaust remote monitoring station;
FIG. 3 is a schematic block diagram of a calibrated vehicle including a standard gas generation system;
FIG. 4 is a schematic block diagram of the calibration of the vehicle for fuel drive and without a standard gas generation system;
FIG. 5 is a schematic diagram of a standard gas generator;
FIG. 6 is a schematic diagram of an on-board exhaust detection device;
FIG. 7 is a schematic diagram of the connection between the back-end supervision center and the front-end equipment system;
FIG. 8 is a schematic diagram of a prior art vehicle exhaust telemetry system installation.
Detailed Description
In order to clearly understand the technical features, objects, and effects of the present invention, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
As shown in fig. 1, the motor vehicle exhaust remote measuring and monitoring system in a preferred embodiment of the present invention includes a front-end equipment system and a background monitoring center, wherein the front-end equipment system includes an exhaust remote sensing monitoring station, a calibration vehicle and an information transmission system.
The background supervision center forms a network system with a plurality of tail gas remote sensing monitoring stations distributed at each part of urban roads through an information transmission system, carries out real-time online remote sensing detection on persistent pollutants discharged by motor vehicles running in cities, confirms vehicles with over-standard tail gas discharge, and carries out high-sensitivity monitoring and management on tail gas with multiple pollution components discharged by the motor vehicles in urban environments and distribution thereof, thereby realizing supervision on the tail gas discharge and distribution of the whole urban motor vehicles.
As shown in fig. 2, the remote exhaust gas monitoring station includes a remote exhaust gas sensing host, a remote exhaust gas sensing auxiliary machine, a vehicle speed/acceleration sensing system, a motor vehicle identification system, a roadside weather station and a roadside control host.
The tail gas remote sensing main machine and the tail gas remote sensing auxiliary machine can be used for sensing and detecting the tail gas emission concentration of a running motor vehicle in a long distance by applying a spectrum absorption principle; the motion speed, the acceleration and the vehicle Specific power VSP (vehicle Specific Power) information of the motor vehicle are measured through a vehicle speed/acceleration sensing system, a license plate is identified through a motor vehicle identification system, a shot image is stored, electronic information of a vehicle-mounted intelligent card is read, the temperature, the humidity, the wind speed, the wind direction and the air pressure of a detection point are collected through a weather station on the side of an aisle, and basic data are provided for the fact whether a tail gas measurement result is effective or not; the measurement data can be analyzed online or offline through the roadside control host, and finally, a complete and effective detection data is formed and is timely uploaded to a server-side platform of the background supervision center.
The tail gas remote sensing monitoring station can be divided into a vertical type and a horizontal type according to the structure, and can be divided into a fixed type and a movable type according to the application mode.
The vertical tail gas remote sensing monitoring station comprises a gantry type mounting frame crossing roads, a tail gas remote sensing host and a vehicle speed/acceleration sensing system which are positioned above each lane and on a gantry beam, a motor vehicle identification system positioned on L rods behind the gantry, a roadside meteorological station and a roadside central control host, wherein the vertical tail gas remote sensing auxiliary machine comprises reflection units positioned below the gantry beam or above and below the gantry beam.
In the horizontal fixed type tail gas remote sensing monitoring station, the tail gas remote sensing host further comprises a directional laser and an adjustable support, and the directional laser and the adjustable support are used for calibrating a transmission window of the tail gas remote sensing host and a reflection window of the tail gas remote sensing auxiliary machine. The horizontal fixed type tail gas remote sensing auxiliary machine further comprises a light-tight smoke intensity detection light beam transmitting unit, a case, a power supply and an adjustable support.
The mobile tail gas remote sensing monitoring station is loaded by a special vehicle, the monitoring place can be selected, the equipment is placed on a detection road section according to the use rule during use, and the equipment is withdrawn after the work is finished.
The tail gas remote sensing host comprises a tail gas measuring, transmitting and receiving unit, an embedded system, a communication interface board card, a case and a power supply, can be controlled by a central control host in a wired or wireless mode, adjusts and transmits infrared and ultraviolet detection light beams, receives the light beams reflected and returned by the remote sensing auxiliary machine, receives light-tight smoke intensity detection light beams emitted by the remote sensing auxiliary machine, monitors multiple pollution components in the tail gas of the motor vehicle such as carbon monoxide CO, carbon dioxide CO2, nitrogen oxide NOX, hydrocarbon HC and the like and light-tight smoke intensity/light absorption coefficient in real time in an online manner, and transmits data to the central control host in the road through a network. The tail gas remote sensing auxiliary engine at least comprises a tail gas measurement reflection unit.
The remote sensing monitoring of the tail gas remote sensing detection station is influenced by various factors, random interference signals have no determined frequency spectrum, and the signal error cannot be extracted or inhibited by conventional filtering, so that effective comparison between different measurements is difficult to carry out.
The roadside control host comprises a constant-temperature central control cabinet, an industrial personal computer, central control software and a security monitoring unit; the central control software is responsible for communication and data exchange with embedded systems in all components of the tail gas remote sensing monitoring station, completes video and data acquisition, and performs data analysis and data management; the method comprises the following steps: reading data of a weather instrument, identifying vehicle license plates, calculating speed/acceleration, controlling standard gas calibration, reducing influences of factors such as ambient temperature, illumination, background concentration and the like on detection results, obtaining ultraviolet spectrum, infrared spectrum signals and green laser signals, inverting concentration values of various tail gas pollutants through a tail gas pollutant concentration inversion algorithm, identifying vehicles with over-standard tail gas emission, controlling a camera to take pictures of the vehicles, and communicating with a server-side platform of a background supervision center and exchanging data.
The central control software mainly comprises functional modules of data acquisition, calculation storage, debugging control, state monitoring, data uploading, system setting and the like, wherein,
the data acquisition module is responsible for communicating with an embedded system in each device of the tail gas remote sensing monitoring station and receiving measured original data;
the calculation and storage module is responsible for carrying out inversion calculation and data processing on the acquired original data, storing the data into a local database of the central control software, and mainly inverting the concentration value of each tail gas pollutant through a tail gas pollutant concentration inversion algorithm; and calculating a vehicle speed, an acceleration and a VSP value based on the electronic time base for analyzing a vehicle running state;
the debugging control module is responsible for carrying out command interaction and control with each device of the tail gas remote sensing monitoring station to complete debugging, calibration and control functions;
the state monitoring module monitors the running states of each hardware module, the industrial personal computer and the security monitoring unit in real time, and gives an alarm in time once safety events such as power failure, equipment failure or invasion occur;
the data uploading module is responsible for uploading data stored in the local database, including vehicle monitoring pictures, videos, vehicle driving data, tail gas monitoring data, environmental data and the like, to a server-side central database of the background supervision center through a message queue;
the system setting module provides functions of graphical display, system basic information maintenance and management and the like.
The motor vehicle recognition system comprises a vehicle snapshot and license plate recognition system and a vehicle-mounted intelligent card recognition system, when a motor vehicle enters a measurement area, license plate pictures and black smoke vehicles are automatically grabbed, license plate numbers are recognized, tail smoke videos of the passing motor vehicles are shot, the license plate pictures, the vehicle pictures and videos are transmitted to an industrial personal computer and stored in a database in a specified format, and intelligent integration of snapshot of a limited vehicle, a fake-licensed vehicle and the black smoke vehicles and tail gas monitoring is realized; the motor vehicle recognition system can be triggered by the exhaust gas standard exceeding remote sensing data or externally triggered by other conditions set by a background supervision center; wherein the content of the first and second substances,
the vehicle snapshot and license plate recognition system of the fixed tail gas monitoring station comprises a camera, a fixed cloud deck, an L-type upright post and a camera power supply;
the vehicle snapshot and license plate recognition system of the mobile tail gas monitoring station comprises a camera, a wireless video server, an electric cradle head, a tripod and a camera power supply;
the vehicle-mounted intelligent card identification and reading system can receive real-time online data sent by the vehicle-mounted intelligent card, and communicates and exchanges data with the central control host.
The speed and acceleration sensing system consists of a transmitting and receiving unit and a reflecting unit or consists of a transmitting unit and a receiving unit. The system comprises at least two laser beams, two light paths, a sensor, an industrial personal computer and a remote sensing host, wherein the two light paths are formed by at least two laser beams, the time of the motor vehicle passing through the sensor is measured, signals such as speed and acceleration when the motor vehicle enters a monitoring area are obtained, and the signals are sent to the industrial personal computer through the remote sensing host.
As shown in fig. 3, the calibration vehicle is provided with a vehicle-mounted tail gas detection device, a standard gas generation system and a vehicle-mounted smart card, and sets simulated standard tail gas data or vehicle-mounted tail gas detection device output data as a real result of tail gas emission, so as to calibrate tail gas emission measurement data of tail gas remote sensing monitoring stations distributed at various places of urban roads.
As shown in fig. 3, the preferable calibration vehicle adopts an environment-friendly vehicle with electric drive, and a standard gas generation system, a vehicle-mounted tail gas detection device and a vehicle-mounted smart card are deployed to avoid the fuel tail gas of the vehicle to interfere or pollute the simulated standard tail gas;
as shown in fig. 4, the calibration vehicle may also be selected as a fuel-powered vehicle, and only the vehicle-mounted exhaust gas detection device and the vehicle-mounted smart card are deployed.
As shown in fig. 3, when the fuel-powered vehicle is used as a calibration vehicle and a standard gas generation system is used, the exhaust gas discharge port of the vehicle itself is modified to discharge the exhaust gas to a specified recovery device or a remote location so as not to cause interference or pollution to the simulated standard exhaust gas.
As shown in fig. 5, the standard gas generating device includes a standard gas distribution assembly, a gas flow control assembly, a gas temperature control assembly, a configuration assembly, and a simulated exhaust.
The standard gas distribution assembly is used for configuring tail gas with standard concentration, the gas flow control assembly is used for adjusting the flowing speed of the tail gas configured by the standard gas distribution assembly, the gas temperature control assembly is used for adjusting the temperature of the tail gas flowing out of the gas flow control assembly, and the simulated exhaust device is used for simulating the tail gas flowing out of the gas temperature control assembly to be exhausted from a tail gas pipe of the automobile.
The standard gas distribution assembly, the gas flow control assembly, the gas temperature control assembly and the simulation exhaust device are sequentially connected.
The configuration component comprises a configuration input unit, a configuration storage unit, a configuration output unit and configuration software.
The configuration input unit is respectively in communication connection with the standard gas distribution assembly, the gas flow control assembly, the gas temperature control assembly and the simulation exhaust device.
The standard gas distribution assembly comprises a standard gas device for storing compressed tail gas and a diluent gas device for storing diluent gas to be mixed with the tail gas released by the standard gas device, so that mixed gas is configured according to configuration requirements, the configured mixed gas outputs mixed gas with standard concentration and temperature, and the mixed gas is exhausted by the simulated exhaust device according to flow and temperature set by the configuration requirements.
The gas flow control assembly comprises a multi-path gas flow controller and a gas flow measurement feedback device, and can accurately output standard tail gas mixed gas with required concentration and required flow calibrated or verified according to system setting. In some embodiments, the gas flow control assembly includes two gas flow controllers connected to the standard gas plant and the dilution gas plant, respectively, to control the emissions of the standard gas plant and the dilution gas plant connections, respectively, to configure the exhaust gas as required by the standard.
In other embodiments, the standard gas plant may also include several storage bins in which different tail gases are stored, to enable individual or mixed emissions. Further, the gas flow control assembly comprises a plurality of gas flow controllers respectively connected with the storage bins and the diluent gas device so as to proportionally mix different tail gases and diluent gases.
The gas temperature control assembly comprises a gas temperature adjusting device and a gas temperature measuring and feedback device, the gas temperature adjusting device is connected with the gas flow controller to adjust the temperature of discharged gas, the output temperature of standard tail gas can be controlled, the gas reaches different set temperatures, and the actual tail gas emission of the motor vehicle is simulated to the maximum extent. The gas temperature measurement feedback device is in communication connection with the gas temperature adjustment device to send the adjusted temperature information to the configuration component.
The configuration input unit is respectively in communication connection with the standard gas distribution assembly, the gas flow control assembly, the gas temperature control assembly and the simulation exhaust device; the intelligent card can be connected with each module in the system and a vehicle-mounted intelligent card; and the configuration output unit is in communication connection with the vehicle-mounted smart card on the calibration vehicle so as to transmit data out.
The configuration component can input settings and operations such as vehicle types, years, simulated emissions and the like through configuration software, can set and control the actions of various modules in the system through the configuration input unit, the calculation storage unit and the configuration output unit, can perform closed-loop automatic control on gas flow and temperature, and ensures the accurate and stable output of simulated standard mixed tail gas.
The simulated exhaust device can adjust the exhaust position and the exhaust angle of the exhaust pipe on the calibrated vehicle at any time according to requirements, and can restore the exhaust characteristics of various vehicle types to the maximum extent.
As shown in fig. 6, the vehicle-mounted exhaust gas detection device includes an exhaust gas sampling analysis component, a GPS module, and a detection component;
the tail gas sampling and analyzing component comprises a tail gas sampling head, an air pump, a filter, a gas-water separator and a tail gas analyzer;
the tail gas sampling head is arranged in an air outlet of the simulated exhaust device, preferably, the tail gas sampling head is inserted into a tail gas discharge outlet of the simulated exhaust device or a fuel calibration vehicle for sampling, and sampling gas is sucked by the air pump and is transmitted to a tail gas analyzer through the filter and the gas-water separator; a tail gas analyzer monitors pollution components in the sampled gas on line in real time;
the GPS module acquires GPS positioning data of a calibrated vehicle in real time;
the detection assembly comprises a detection input unit, a calculation storage unit, a detection output unit and detection software, and is connected with the tail gas sampling analysis assembly, the GPS module and the vehicle-mounted intelligent card; summarizing and calculating the collected GPS positioning data and the data measured by the tail gas analyzer through detection software; the vehicle speed, the acceleration and the instantaneous volume concentration of each pollutant are output, and monitoring data can be transmitted out on line in real time through the vehicle-mounted intelligent card and transmitted to a vehicle-mounted intelligent card identification and reading device of a motor vehicle identification system in the tail gas remote sensing monitoring station.
In other embodiments, an air pump, a filter and a gas-water separator can be omitted, and the tail gas sampled by the tail gas sampling head can also be directly transmitted to a tail gas analyzer for detection; or, a filter and a gas-water separator are eliminated, and the tail gas sampled by the tail gas sampling head is discharged through an outlet of the gas pump and is transmitted to a tail gas analyzer; or, the gas-water separator is eliminated, and the tail gas sampled by the tail gas sampling head is conveyed to the filter through the air pump to be filtered, and then is discharged from the outlet of the filter to be conveyed to the tail gas analyzer.
In some embodiments, the end of the exhaust gas sampling head at the simulated exhaust device is provided with a sealing cover capable of being opened and closed, so as to sample the exhaust gas in the simulated exhaust device after being opened and isolate the sampled exhaust gas from the simulated exhaust device after being closed. Preferably, the outer ring of the tail gas sampling head is provided with a sealing ring sealed with the air outlet of the simulated exhaust device, so that the interference of external gas on the sampled tail gas can be realized. In other embodiments, the outer ring of the tail gas sampling head is in threaded connection and sealed with the air outlet of the simulated exhaust device.
The vehicle-mounted tail gas detection equipment directly inserts the tail gas sampling head into the tail gas discharge port of the vehicle for sampling, can greatly weaken the influence of interference factors such as environment, dust, road resonance and the like, and the measured data is time-synchronized with the remote sensing monitoring data, so that the vehicle-mounted tail gas detection equipment can be effectively used for comparing the measured data with the remote sensing monitoring data, identifying and isolating random interference signals and giving a relatively accurate tail gas remote sensing monitoring result.
The simulation setting data of the standard gas generation system further eliminates the interference factor of slow and time-varying electronic device characteristics in the tail gas remote sensing detection station and the vehicle-mounted tail gas detection equipment, so that the tail gas remote sensing detection station and the vehicle-mounted tail gas detection equipment can be calibrated and corrected more accurately, and a more accurate tail gas remote sensing monitoring result is obtained.
The vehicle-mounted intelligent card comprises an information access device and an information transmission device, and can send a vehicle-mounted intelligent card identification code to the vehicle-mounted intelligent card identification and reading device, calibrate the simulated standard tail gas emission amount of the vehicle, calibrate the vehicle information of the simulated tail gas emission type, the year and the like of the vehicle, the vehicle-mounted equipment measurement data of the vehicle speed, the acceleration, the instantaneous volume concentration of each pollutant and the like, and simulate the standard tail gas emission and the judgment result of the vehicle-mounted tail gas emission detection.
As shown in fig. 7, the background supervision center includes a server-side platform, a server-side central database, and an information application system; a plurality of tail gas remote sensing monitoring stations distributed at each position of an urban road form a network system with a background monitoring center through an information transmission system, the network system can communicate and exchange data with a server-side platform, and data stored in a local database is uploaded to a server-side central database through a message queue.
The informatization application system comprises a vehicle-mounted intelligent card application system, a high pollution discharge vehicle judgment module and a high pollution discharge vehicle supervision system;
the vehicle-mounted intelligent card application system can manage the vehicle-mounted intelligent card identification code and the system key and has the management function of various application services of the vehicle-mounted intelligent card.
The high pollution discharge vehicle judgment module comprises a self-learning high pollution discharge vehicle judgment algorithm, and can take factors such as environment related variables, motor vehicle information related variables, telemetered tail gas component concentration, tail gas component concentration measured by a motor vehicle-mounted sensor in real time, simulated tail gas component concentration of a standard gas generation system of a calibration vehicle and the like in motor vehicle tail gas telemetering data into consideration, and correct the high pollution discharge vehicle judgment result of the tail gas remote sensing monitoring station, so that the reliability of the high pollution discharge vehicle judgment result is improved, and the validity of the roadside tail gas remote sensing device on the motor vehicle tail gas emission measurement data is judged.
The high pollution discharge vehicle supervision system can monitor passing vehicles of a plurality of tail gas remote sensing monitoring stations distributed at each part of urban roads in real time, detect and record the tail gas emission data of the running motor vehicles in the city, confirm the vehicles with over-standard tail gas emission, and monitor and manage the tail gas with multiple pollution components and distribution of the tail gas emitted by the motor vehicles in the urban environment, thereby realizing supervision of the tail gas emission and the distribution of the whole urban motor vehicles.
The artificial neural network technology is based on a mathematical network topology as a theoretical basis, is characterized by large-scale parallelism, high fault-tolerant capability, self-adaption, self-learning, self-organization and other functions, and integrates information analysis and storage, so that a self-learning high pollution discharge vehicle judgment algorithm model based on exhaust remote sensing monitoring can be created by combining measured data of vehicle-mounted exhaust detection equipment, judgment results of the vehicle-mounted exhaust detection equipment and simulation setting data of a standard gas generation system, the influence of various objective factors which cannot be controlled in actual remote sensing monitoring is reduced to the maximum extent, and the effectiveness of the exhaust remote sensing monitoring and the correct judgment rate of high pollution discharge vehicles are improved.
The self-learning high pollution discharge vehicle judgment algorithm can be deployed in a high pollution discharge vehicle judgment module of a background supervision center informatization application system, and can also be deployed in a central control software calculation and storage module of a central control host in a roadside; the remote sensing measurement data of the off-road tail gas can be analyzed and corrected on line or off line, and finally a complete and effective judgment result for the tail gas emission of the high-pollution-discharge vehicle is formed.
When the calibrated vehicle is only provided with the vehicle-mounted tail gas detection equipment and the vehicle-mounted intelligent card, the motor vehicle tail gas remote sensing detection self-learning judgment algorithm comprises the following steps:
s1, collecting and calibrating data of vehicle time synchronization through a tail gas remote sensing monitoring station and vehicle-mounted tail gas detection equipment, wherein the data comprises operation conditions, pollutant concentration, motor vehicle information, road information, environmental parameters and judgment results;
s2, merging time synchronization data obtained through the tail gas remote sensing monitoring station and the vehicle-mounted tail gas detection equipment into a tail gas emission data set of a calibration vehicle, and cleaning data in the sample data set;
s3, establishing a self-learning pollution discharge judgment algorithm model aiming at the sample data set in the step 2, taking the calibrated vehicle tail gas emission data set as an input variable and the vehicle-mounted tail gas detection equipment judgment result as an output variable, training a calibrated vehicle tail gas remote sensing detection result correction model, and realizing real-time online or offline correction of the calibrated vehicle tail gas remote sensing detection result.
The operation conditions comprise: speed, acceleration, specific power; the method comprises the steps of obtaining measurement data from a tail gas remote sensing monitoring station and vehicle-mounted tail gas detection equipment respectively;
the contaminant concentrations include: carbon monoxide volume concentration, carbon dioxide volume concentration, nitrogen oxide volume concentration, hydrocarbon volume concentration, and opaque smoke value of solid particulate matter; the method comprises the steps of obtaining measurement data from a tail gas remote sensing monitoring station and vehicle-mounted tail gas detection equipment respectively;
the motor vehicle information includes: the method comprises the following steps of (1) partially or completely installing a catalytic converter according to vehicle types, lengths, engine displacement, reference quality, use properties, service life and the condition that the catalytic converter is installed, wherein the vehicle types, the lengths, the engine displacement, the reference quality, the service life and the condition that the catalytic converter is installed comprise calibrated vehicle actual data with real exhaust emission acquired through license plates;
the road information includes: tail gas remote sensing monitoring station identification, road type and gradient;
the environmental parameters include: wind speed, wind direction, ambient temperature, atmospheric pressure, relative humidity;
the determination result includes: and the remote measurement initial judgment result and the judgment result of the vehicle-mounted tail gas detection equipment.
Further, each sample data in the exhaust emission data set in step S2 includes an exhaust telemetry data set part of each calibration vehicle, an exhaust detection data set part of the vehicle, and a result of vehicle-mounted determination;
each sample data attribute is composed as follows:
Figure BDA0002097886440000111
wherein D is(i)Sample data of the ith sample representing a calibration vehicle exhaust emission data set;
Figure BDA0002097886440000112
representing the portion of the set of exhaust telemetry data in the ith sample data;
Figure BDA0002097886440000113
a vehicle-mounted exhaust detection data set part representing the ith sample data;
S(i)the judgment result of the vehicle-mounted exhaust gas detection equipment representing the ith sample data;
the attributes in the exhaust telemetry data set consist of:
Figure BDA0002097886440000114
the data attributes of the tail gas telemetering data set sequentially and respectively represent the running speed, acceleration and specific power of the vehicle; carbon monoxide volume concentration, carbon dioxide volume concentration, nitrogen oxide volume concentration, hydrocarbon volume concentration and light-tight smoke value of solid particles in tail gas emission; gradient in the road information, wind speed, wind direction, ambient temperature, atmospheric pressure, relative humidity around the installation point of the telemetering equipment; 15 variables of the telemetering initial judgment result of the tail gas remote sensing monitoring station;
the attribute composition of the vehicle-mounted exhaust detection data set is as follows:
Figure BDA0002097886440000121
the data attributes of the vehicle-mounted tail gas detection data set sequentially represent the speed, the acceleration and the specific power of the vehicle in a running mode respectively; carbon monoxide volume concentration, carbon dioxide volume concentration, nitrogen oxide volume concentration, hydrocarbon volume concentration and light-tight smoke value of solid particles in tail gas emission; vehicle length, engine displacement, reference mass, nature of use, age, whether a catalytic converter is installed 14 variables;
the definition of the binary classification of the judgment result of the vehicle-mounted exhaust gas detection device is as follows:
S(i)={0,1}
wherein 0 is defined as the standard exceeding of the judgment result, and 1 is defined as the qualified judgment result.
In step S3, the step of performing cleaning processing on the data in the sample data set is as follows:
(1) the method comprises the following steps of carrying out binarization processing on the use property of a calibrated vehicle, the telemetering initial judgment result of whether a catalytic converter is installed or not, and a tail gas remote sensing monitoring station, and the judgment result of a vehicle-mounted tail gas detection device, wherein the method comprises the following steps:
1 0
nature of use Operation of the plant Non-operational
Whether or not to install a catalytic converter Mounting of Is not installed
Remote measurement initial judgment result of tail gas remote sensing monitoring station Qualified Out of limits
Determination result of vehicle-mounted exhaust gas detection equipment Qualified Out of limits
(2) Other non-binary data are normalized, and the calculation formula is as follows:
Figure BDA0002097886440000122
where X represents a sample value in a data attribute, XmaxRepresenting the maximum value, X, in a certain data attributeminRepresents the minimum value in a certain data attribute, and X' represents the value after normalization processing.
Further, step S4 is implemented as follows, based on vehicle calibration, selecting a BP neural network model, using the exhaust telemetry data set and the vehicle-mounted exhaust detection data set established in step S2 as input variables of the BP neural network model, that is, determining the input layer of the BP neural network as 29 nodes, and determining the input layer.
Further, 1 hidden layer is selected, and the number of nodes of the hidden layer is determined to be 59. Research shows that only one BP neural network of the hidden layer can approximate a nonlinear function with any precision as long as the number of nodes of the hidden layer is enough. Therefore, a three-layer BP neural network can complete random mapping from n dimension to m dimension, so that the three-layer neural network is selected.
According to the principle of 2N + l, the number of nodes of the hidden layer is determined to be 59. Optionally, the node number of the hidden layer may be respectively selected from different reference values for experimental comparison.
A self-learning high pollution discharge vehicle judgment algorithm model is created based on a calibrated vehicle, and aims to judge whether the exhaust emission of the motor vehicle exceeds the standard with higher precision, which is a classification judgment problem with complex influence factors. The judgment result of the vehicle-mounted tail gas detection equipment is taken as a label variable and is taken as a basis for judging whether the tail gas emission of the motor vehicle exceeds the standard or not, a complicated equipment correction problem can be ingeniously converted into a typical two-classification problem network, the corrected tail gas remote sensing monitoring performance is remarkably improved, and therefore the network output layer is determined to be 1 node.
And taking the judgment result of the vehicle-mounted tail gas detection equipment as an output variable of the BP neural network model, wherein the data format is as follows:
XZ(i)={0,1}
wherein 0 is defined as the standard exceeding of the judgment result, and 1 is defined as the qualified judgment result.
Further, an L M (L evenberg-Marquardt) algorithm in the BP neural network is selected, the input layer is determined to be 29 nodes, and a 29-59-1 three-layer BP neural network structure is established.
After the basic network structure is established, simulating a high pollution discharge vehicle judgment model based on a BP neural network in a Matlab environment, and finding out a proper algorithm and a finally established network structure through comparative research.
Optionally, according to a general principle, sample data close to 2/3 is selected as a training sample, the rest sample is used as a test sample, a high-pollution-discharge vehicle exhaust remote sensing detection result correction model is trained, and finally real-time online or offline correction of the motor vehicle exhaust remote sensing detection result is achieved.
In some embodiments, the calibration vehicle is provided with a standard gas generation system, the vehicle-mounted exhaust gas detection device further collects the concentration of pollutants discharged by the standard gas generation system, the concentration of pollutants and the vehicle information respectively comprise data set through simulation of the standard gas generation system, and the determination result comprises a determination result of simulation setting of the standard gas generation system.
And further, adding a judgment result of the vehicle-mounted exhaust gas detection equipment as an input variable into a vehicle-mounted exhaust gas detection data set, and taking a simulation setting judgment result of the standard gas generation system as an output variable of the BP neural network model.
Therefore, a 30-61-1 three-layer BP neural network structure is established, a calibration vehicle judgment model based on the BP neural network is simulated, a proper algorithm and a finally established network structure are found through comparison, a calibration vehicle tail gas remote sensing detection result correction model is trained, and real-time online or offline correction of the calibration vehicle tail gas remote sensing detection result is achieved.
The self-learning judgment algorithm for remote sensing detection of the tail gas of the motor vehicle has the following beneficial effects:
1. correcting the measurement data of each tail gas remote sensing monitoring station according to the tail gas remote sensing monitoring station identifier;
2. correcting the measurement data of each calibrated vehicle with higher precision according to the vehicle-mounted smart card identification code;
3. according to the vehicle-mounted intelligent card identification code, correcting the measurement data of each calibration vehicle provided with the standard gas generation system with higher precision;
4. and (4) correcting and calibrating the measurement data of each tail gas remote sensing monitoring station with higher precision according to the simulation setting judgment result of the standard gas generation system.
It is to be understood that the above-described respective technical features may be used in any combination without limitation.
The above only is the embodiment of the present invention, not limiting the patent scope of the present invention, all the equivalent structures or equivalent processes that are used in the specification and the attached drawings or directly or indirectly applied to other related technical fields are included in the patent protection scope of the present invention.

Claims (10)

1. A standard gas generating device for a pollution judgment calibration vehicle is characterized by comprising a standard gas distribution component, a gas flow control component, a gas temperature control component, a simulated exhaust device and a configuration component, wherein the standard gas distribution component is used for configuring tail gas with standard concentration;
the standard gas distribution assembly, the gas flow control assembly, the gas temperature control assembly and the simulated exhaust device are sequentially connected;
the configuration component comprises a configuration input unit and a configuration output unit;
the configuration input unit is respectively in communication connection with the standard gas distribution assembly, the gas flow control assembly, the gas temperature control assembly and the simulated exhaust device so as to send configuration information to the standard gas distribution assembly, send adjustment information to the gas flow control assembly and the gas temperature control assembly and control the starting and stopping of the simulated exhaust device;
the configuration output unit is in communication connection with a vehicle-mounted smart card on the calibration vehicle so as to transmit data out.
2. The standard gas generating apparatus for a pollution determination calibration vehicle according to claim 1, wherein the standard gas distribution component comprises a standard gas device for storing compressed exhaust gas and a diluent gas device for storing a diluent gas to be mixed with exhaust gas released from the standard gas device.
3. The standard gas generating apparatus for a pollution determination calibration vehicle according to claim 2, wherein the gas flow control assembly comprises two gas flow controllers connected to the standard gas plant and the diluent gas plant, respectively, to control the discharge amount of the connection of the standard gas plant and the diluent gas plant, respectively.
4. The standard gas generating apparatus for a pollution determination calibration vehicle according to claim 2, wherein the standard gas generating apparatus comprises a plurality of storage bins storing different exhaust gases so as to be capable of being discharged separately or in a mixed manner.
5. The standard gas generating apparatus for a pollution determination calibration vehicle according to claim 4, wherein the gas flow control assembly comprises a plurality of gas flow controllers respectively connected to each of the storage bins and the dilution gas device, so as to proportionally mix different exhaust gases and dilution gases.
6. The standard gas generating apparatus for a pollution determination calibration vehicle according to claim 3 or 5, wherein the gas flow control assembly further comprises a gas flow measurement feedback device communicatively connected to the gas flow controller to send outflow speed information to the configuration assembly.
7. The standard gas generating apparatus for a pollution determination calibration vehicle according to claim 3 or 5, wherein said gas temperature control module comprises a gas temperature adjusting means connected to said gas flow controller to adjust the temperature of the discharged gas.
8. The standard gas generating apparatus for a pollution determination calibration vehicle according to claim 7, wherein the gas temperature control assembly further comprises a gas temperature measurement feedback device communicatively connected to the gas temperature adjusting device for sending the adjusted temperature information to the configuration assembly.
9. The standard gas generating apparatus for a pollution determination calibration vehicle according to any one of claims 1 to 5, wherein the configuration component further comprises a configuration storage unit in communication connection with the configuration input unit and the configuration output unit, respectively.
10. A contamination determination calibration vehicle characterized by comprising the standard gas generation device according to any one of claims 1 to 9.
CN201920913040.3U 2019-06-18 2019-06-18 Standard gas generating device for pollution determination calibration vehicle and pollution determination calibration vehicle Active CN211122510U (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113670379A (en) * 2021-08-13 2021-11-19 山东交通学院 Tail gas pollutant emission simulation device and method
CN114797516A (en) * 2021-01-29 2022-07-29 陕西青朗万城环保科技有限公司 Multi-component gas generation method and control system thereof

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114797516A (en) * 2021-01-29 2022-07-29 陕西青朗万城环保科技有限公司 Multi-component gas generation method and control system thereof
CN113670379A (en) * 2021-08-13 2021-11-19 山东交通学院 Tail gas pollutant emission simulation device and method

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