CN116050922A - Low-carbon environment-friendly automobile exhaust emission evaluation system and method - Google Patents
Low-carbon environment-friendly automobile exhaust emission evaluation system and method Download PDFInfo
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Abstract
The invention provides an automobile exhaust emission evaluation system and method based on low carbon and environmental protection, wherein the system comprises: the acquisition module is used for acquiring the tail gas parameters of the estimated vehicle during tail gas emission estimation, and simultaneously acquiring environment-friendly index parameters of the estimated vehicle conforming to low-carbon environment-friendly standards; the evaluation module is used for carrying out environmental protection scoring according to the tail gas parameters and the environmental protection index parameters to obtain a first target score; the screening module is used for screening out the evaluation vehicles with the first target score smaller than the corresponding score threshold value and taking the evaluation vehicles as target vehicles; and the attribution module is used for attributing the unqualified exhaust emission cause of the target vehicle, determining the rectifying information of attribution results and transmitting the rectifying information to the corresponding vehicle owners. According to the low-carbon environment-friendly automobile exhaust emission assessment system and method, the reasons of disqualification of the target automobile exhaust emission assessment are attributed, the rectifying information is obtained and delivered to the corresponding automobile owners, so that the automobile exhaust emission assessment system and method are more humanized, and the efficiency of the automobile owners in overhauling is improved.
Description
Technical Field
The invention relates to the technical field of vehicle exhaust emission assessment, in particular to an automobile exhaust emission assessment system and method based on low carbon and environment protection.
Background
Automobile exhaust is produced when using an automobile and contains different compounds [ for example: exhaust gas of nitrogen oxides, sulfur oxides, carbon monoxide, and the like. The emission of excessive exhaust gas may cause environmental pollution [ for example: sulfur dioxide produces acid rain, which also affects the health of people, however, with the rapid development of society, the number of vehicles is increasing, and some vehicles are worse in vehicle condition, and the exhaust emissions are not up to standard [ for example: the emission of the nitrogen oxide exceeds the standard, so that the exhaust emission evaluation is required based on the low-carbon environment-friendly concept.
The invention patent with the application number of CN202010669977.8 discloses an automobile engine exhaust emission treatment system, which comprises: and the emission treatment control system is electrically connected with the tail gas emission comprehensive treatment system, the emission management system, the tail gas emission early warning module and the report printing module. The tail gas emission treatment system of the automobile engine can analyze and classify tail gas through the joint arrangement of the tail gas emission analysis module, the tail gas emission classification module, the tail gas emission related data export module, the tail gas emission alarm module and the management log storage module in the emission management system, and the tail gas can be analyzed and classified through exporting data to the related data buffer module, so that the overall treatment speed of the system is improved.
However, in the prior art, after the system analyzes and classifies the tail gas, the reason that the tail gas discharged by the automobile does not reach the standard is not attributed, and when the corresponding automobile is subjected to subsequent overhaul because the tail gas discharge exceeds the standard, the entry of each item of the automobile needs to be carefully checked again, so that the efficiency is low.
In view of this, a solution is needed.
Disclosure of Invention
The invention aims to provide a low-carbon environment-friendly automobile exhaust emission evaluation system, which is used for attributing the unqualified reasons of the target automobile exhaust emission evaluation, acquiring correction information and delivering the correction information to corresponding automobile owners, so that the automobile exhaust emission evaluation system is more humanized and the maintenance efficiency of the automobile owners during self maintenance is improved.
The embodiment of the invention provides a low-carbon environment-friendly automobile exhaust emission evaluation system, which comprises:
the acquisition module is used for acquiring the tail gas parameters of the estimated vehicle during tail gas emission estimation, and simultaneously acquiring the environment-friendly index parameters of the estimated vehicle conforming to the low-carbon environment-friendly standard;
the evaluation module is used for carrying out environmental protection grading according to the tail gas parameters and the environmental protection index parameters to obtain a first target grading;
the screening module is used for screening the evaluation vehicles with the first target scores smaller than the corresponding score threshold and taking the evaluation vehicles as target vehicles;
and the attribution module is used for attributing the reasons of disqualification of the tail gas emission of the target vehicle, determining the rectifying information of attribution results and delivering the rectifying information to corresponding vehicle owners.
Preferably, the obtaining module obtains an exhaust gas parameter when the vehicle is estimated to carry out exhaust emission estimation, including:
acquiring a transmission signal of gas detection equipment preset when the evaluation vehicle performs the exhaust emission evaluation;
determining a receiving device corresponding to the transfer signal, and acquiring a receiving signal corresponding to the transfer signal received by the receiving device;
performing signal processing on the received signal to obtain a processed signal;
analyzing the processing signal to obtain tail gas subparameters;
acquiring vehicle marking parameters of the evaluation vehicle corresponding to the tail gas subparameter;
and associating the tail gas subparameter with the corresponding vehicle marking parameter, and taking all the associated tail gas subparameter and the corresponding vehicle marking parameter as the tail gas parameter.
Preferably, the evaluation module performs environmental protection scoring according to the tail gas parameter and the environmental protection index parameter, to obtain a first target score, including:
acquiring a first gas category corresponding to the tail gas parameter, and simultaneously acquiring a second gas category corresponding to the environmental protection index parameter;
according to the first gas category and the second gas category, determining the tail gas parameters corresponding to the first gas category consistent with the second gas category in the first gas category, and taking the tail gas parameters as target sub-tail gas parameters;
determining a single score of the target sub-tail gas parameter according to the target sub-tail gas parameter;
and integrating all the single scores to obtain the first target score.
Preferably, the determining, according to the target sub-tail gas parameter, a single score of the target sub-tail gas parameter includes:
performing parameter division on the environmental protection index parameters based on the second gas category to obtain environmental protection index subparameters;
determining a plurality of judging sections on a preset number axis according to the environmental protection index subparameter;
acquiring a reasonable point location set in the judging section, and simultaneously determining an auxiliary judging weight corresponding to each reasonable point location in the reasonable point location set;
acquiring judgment points of target sub-tail gas parameters on the number axis;
calculating the point position coordinate difference between the judging point position and the reasonable point position, simultaneously obtaining a point position coordinate difference-grading value library corresponding to the judging point position and preset, and determining a grading value corresponding to the point position coordinate difference;
and giving the auxiliary judgment weight corresponding to the grading value to obtain the single grading.
Preferably, the attribution module attributing the reasons of disqualification of the exhaust emission of the target vehicle, determining correction information of attribution results, and delivering the correction information to corresponding vehicle owners, including:
obtaining a second target score of the target vehicle, taking the second target score which is smaller than the corresponding score threshold value in the second target score as a third target score, and determining the generation condition of the tail gas evaluated by the third target score;
acquiring vehicle information of the target vehicle;
determining the rectification information of the attribution result according to the generation condition and the vehicle information;
acquiring a vehicle-to-machine node of the target vehicle;
and delivering the rectifying information to the corresponding vehicle-mounted node.
Preferably, the acquiring the vehicle information of the target vehicle includes:
acquiring detection information of a detection station for detecting the vehicle condition of the target vehicle, and taking the detection information as the vehicle information;
and/or the number of the groups of groups,
and acquiring vehicle registration information of the target vehicle, and taking the vehicle registration information as the vehicle information.
Preferably, the determining the modification information of the attribution result according to the generation condition and the vehicle information includes:
analyzing the vehicle information to obtain a part distribution image of the target vehicle;
determining current part images corresponding to a plurality of parts in the part distribution image;
acquiring an initial part image corresponding to the part;
determining a distinguishing part based on the current part image and the initial part image;
carrying out correlation analysis on the attribution result and the distinguishing part to obtain a correlation value;
acquiring a correction factor of the correlation value;
correcting the correlation value according to the correction factor to obtain a correction value;
if the modification value is greater than or equal to a preset modification value threshold, the corresponding distinguishing part is used as a recommended modification part;
and generating the rectifying sub-information of the recommended rectifying part, and integrating all rectifying sub-information to obtain the rectifying information.
Preferably, the obtaining the correction factor of the correlation value includes:
extracting part contours of the current part image to obtain a first three-dimensional contour, extracting the part contours of the initial part image to obtain a second three-dimensional contour, and calculating the coverage degree of the first three-dimensional contour and the second three-dimensional contour;
acquiring a first constraint scale between the coverage and the correlation value;
determining a first correction value based on the first constraint scale according to the coverage;
analyzing the vehicle information, acquiring the service life of the distinguishing part, and simultaneously acquiring a second constraint scale between the service life and the related value;
determining a second correction value based on the age based on the second constraint metric;
and constructing a correction factor according to the first correction value and the second correction value.
The embodiment of the invention provides a low-carbon environment-friendly automobile exhaust emission assessment method, which comprises the following steps:
step 1: acquiring tail gas parameters of an evaluation vehicle during tail gas emission evaluation, and simultaneously acquiring environment-friendly index parameters of the evaluation vehicle conforming to low-carbon environment-friendly standards;
step 2: according to the tail gas parameters and the environmental protection index parameters, environmental protection scoring is carried out, and a first target score is obtained;
step 3: screening out the evaluation vehicles with the first target scores smaller than the corresponding score thresholds, and taking the evaluation vehicles as target vehicles;
step 4: attributing the unqualified reasons of the tail gas emission of the target vehicle, determining rectification information of attribution results, and delivering the rectification information to corresponding vehicle owners.
Preferably, the acquiring the exhaust gas parameters of the estimated vehicle when estimating the exhaust gas emission includes:
acquiring a transmission signal of gas detection equipment preset when the evaluation vehicle performs the exhaust emission evaluation;
determining a receiving device corresponding to the transfer signal, and acquiring a receiving signal corresponding to the transfer signal received by the receiving device;
performing signal processing on the received signal to obtain a processed signal;
analyzing the processing signal to obtain tail gas subparameters;
acquiring vehicle marking parameters of the evaluation vehicle corresponding to the tail gas subparameter;
and associating the tail gas subparameter with the corresponding vehicle marking parameter, and taking all the associated tail gas subparameter and the corresponding vehicle marking parameter as the tail gas parameter.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of an automobile exhaust emission assessment system based on low carbon and environmental protection in an embodiment of the invention;
fig. 2 is a schematic diagram of an automobile exhaust emission assessment method based on low carbon and environmental protection in an embodiment of the invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
The embodiment of the invention provides an automobile exhaust emission evaluation system based on low carbon and environmental protection, which is shown in fig. 1 and comprises the following components:
the acquisition module 1 is used for acquiring the tail gas parameters of the estimated vehicle during tail gas emission estimation, and simultaneously acquiring the environment-friendly index parameters of the estimated vehicle conforming to the low-carbon environment-friendly standard;
the evaluation module 2 is used for carrying out environmental protection grading according to the tail gas parameters and the environmental protection index parameters to obtain a first target grading;
a screening module 3, configured to screen the evaluation vehicle with the first target score smaller than the corresponding score threshold, and serve as a target vehicle;
and the attribution module 4 is used for attributing the reasons of disqualification of the tail gas emission of the target vehicle, determining the correction information of attribution results and delivering the correction information to corresponding vehicle owners.
The working principle and the beneficial effects of the technical scheme are as follows:
the automobile exhaust contains various pollutants, and excessive emission can cause air pollution, so that the vehicle management mechanism can evaluate the exhaust emission of the managed vehicle regularly. Acquiring exhaust gas parameters of an estimated vehicle for exhaust gas emission estimation [ for example: 600mg/km of carbon monoxide, 100mg/km of nitrogen oxides, etc.). Acquiring environmental protection index parameters of the estimated vehicle meeting the low-carbon environmental protection standard; the environmental index parameter is determined by evaluating the vehicle type of the vehicle, the detection mode of the exhaust gas, and the like. According to the tail gas parameters and the environmental protection index parameters, carrying out environmental protection scoring to obtain a first target score; the first target score includes scores of a plurality of exhaust detection items [ e.g.: carbon monoxide project detection score: 78 min.
After the scores of all the tail gas detection projects are obtained, determining that an estimated vehicle with the first target score smaller than a corresponding score threshold value is used as a target vehicle [ the target vehicle is a vehicle with unqualified tail gas detection and needs rechecking, and the score threshold value is preset manually ]. The method includes the steps of attributing a tail gas failure cause to a target vehicle, and determining rectification information corresponding to attribution results [ for example: the three-way catalyst fails and is suggested to be maintained, and rectifying information is automatically delivered to corresponding target vehicles; during delivery, based on the internet of vehicles technology, the rectification information is sent to the vehicle-to-vehicle nodes of the corresponding target vehicles, and the owners of the corresponding target vehicles can check in the vehicle-to-vehicle.
The method and the device for correcting the tail gas emission of the target vehicle are used for correcting the disqualified tail gas emission of the target vehicle, acquiring corresponding correction information and delivering the correction information to the corresponding vehicle owners, are more humanized, and meanwhile, the maintenance efficiency of the vehicle owners during self maintenance is improved.
In one embodiment, the obtaining module obtains an exhaust gas parameter for estimating an exhaust emission of the vehicle, including:
acquiring a transmission signal of gas detection equipment preset when the evaluation vehicle performs the exhaust emission evaluation;
determining a receiving device corresponding to the transfer signal, and acquiring a receiving signal corresponding to the transfer signal received by the receiving device;
performing signal processing on the received signal to obtain a processed signal;
analyzing the processing signal to obtain tail gas subparameters;
acquiring vehicle marking parameters of the evaluation vehicle corresponding to the tail gas subparameter;
and associating the tail gas subparameter with the corresponding vehicle marking parameter, and taking all the associated tail gas subparameter and the corresponding vehicle marking parameter as the tail gas parameter.
The working principle and the beneficial effects of the technical scheme are as follows:
when acquiring the exhaust gas parameter, a preset receiving gas detection device may be acquired [ for example: the transmission signal of the tail gas analyzer comprises numerical information of the gas components in the tail gas detected by the gas detection equipment. Determining a receiving device corresponding to the transmission signal; the receiving device is as follows: the analysis equipment is used for analyzing the tail gas data and acquiring a receiving signal corresponding to the transmission signal, which is received by the receiving equipment; the received signal is a signal which is transmitted and interfered, and the tail gas parameters determined based on the interference signal are inaccurate, so that the problem needs to be solved.
Signal processing is carried out on the received signal, and a processed signal is obtained; signal processing is the process of processing a signal recorded on a medium to extract useful information, including but not limited to, extracting, transforming, analyzing, etc., the signal. Analyzing the information contained in the processed signal to obtain the tail gas subparameter [ for example: carbon monoxide 600 mg/km. Acquiring the tail gas subparameter corresponds to evaluating the vehicle marking parameters of the vehicle [ for example: when the vehicle marking parameters are obtained, license plate pictures of the vehicle can be captured and evaluated through a camera arranged at a detection site to carry out license plate recognition, and the license plate recognition technology belongs to the prior art and the principle is not repeated. And correlating the tail gas sub-parameters with license plate marking parameters to obtain tail gas parameters.
The method and the device for processing the signal process the transmission signal of the gas detection equipment, so that the accuracy of the signal processing is improved; the license plate recognition technology is introduced to recognize the vehicle marking parameters and is associated with the corresponding tail gas subparameter, so that the suitability of obtaining the tail gas parameters is improved and the method is more reasonable.
In one embodiment, the evaluation module performs environmental protection scoring according to the exhaust gas parameter and the environmental protection index parameter to obtain a first target score, including:
acquiring a first gas category corresponding to the tail gas parameter, and simultaneously acquiring a second gas category corresponding to the environmental protection index parameter;
according to the first gas category and the second gas category, determining the tail gas parameters corresponding to the first gas category consistent with the second gas category in the first gas category, and taking the tail gas parameters as target sub-tail gas parameters;
determining a single score of the target sub-tail gas parameter according to the target sub-tail gas parameter;
and integrating all the single scores to obtain the first target score.
The working principle and the beneficial effects of the technical scheme are as follows:
the first gas category corresponding to the exhaust gas parameter is obtained [ for example: carbon monoxide, and simultaneously, a second gas category corresponding to environmental indicator parameters is obtained [ for example: carbon monoxide, hydrogen and oxygen compounds, etc.). Because the gas types of the exhaust gases of the exhaust gas do not all affect the environment, whether the first gas type and the second gas type are consistent or not is judged, if so, the corresponding first gas type which is consistent is indicated to affect the environment, and corresponding target sub-exhaust parameters in the exhaust parameters are determined. Determining a single score for a target sub-exhaust parameter [ e.g.: scoring the carbon monoxide content: integrating all the individual scores to obtain a first target score [ e.g.: the exhaust gas scores for the various gas types.
According to the method and the device, the single-item scores of each target sub-tail gas parameter are determined based on the gas type of the tail gas parameter, and the first target score is obtained by integrating all the single-item scores, so that the suitability of the score is improved.
In one embodiment, the determining the single score of the target sub-exhaust parameter according to the target sub-exhaust parameter includes:
performing parameter division on the environmental protection index parameters based on the second gas category to obtain environmental protection index subparameters;
determining a plurality of judging sections on a preset number axis according to the environmental protection index subparameter;
acquiring a reasonable point location set in the judging section, and simultaneously determining an auxiliary judging weight corresponding to each reasonable point location in the reasonable point location set;
acquiring judgment points of target sub-tail gas parameters on the number axis;
calculating the point position coordinate difference between the judging point position and the reasonable point position, simultaneously obtaining a point position coordinate difference-grading value library corresponding to the judging point position and preset, and determining a grading value corresponding to the point position coordinate difference;
and giving the auxiliary judgment weight corresponding to the grading value to obtain the single grading.
The working principle and the beneficial effects of the technical scheme are as follows:
based on the second gas category, parameter division is performed on the environmental protection index parameter, and environmental protection index subparameters are obtained [ for example: the limit value for carbon monoxide is 6.3g/km, and the limit value for the total amount of hydrocarbons and nitrogen oxides is 2.0g/km, etc. The preset axes are manually set, and the judgment interval corresponding to the environment-friendly index self-sub-parameters is determined. Acquiring judgment intervals corresponding to different gas types; the judgment interval is as follows: different gas types meet low carbon environmental standards for gas emissions [ e.g.: the total amount of hydrocarbons and nitrogen oxides is 2.0 g/km. The reasonable point position set is as follows: and a set of labeling points in the judgment section on the numerical axis. Determining auxiliary decision weights corresponding to each reasonable point in the set of reasonable point positions [ for example: the auxiliary judgment weight of the marked point corresponding to the carbon monoxide emission amount of 1.3g/km is 0.5, and the auxiliary judgment weight of the marked point corresponding to the carbon monoxide emission amount of 4.3g/km is 0.2. The judging point positions of the target sub-tail gas parameters are as follows: and (5) representing the target sub-tail gas parameters on the numerical axis. Calculating the point coordinate difference between the determination point and the corresponding reasonable point [ e.g.: 1, further for example: -1; the point coordinate difference-scoring value library is as follows: the database comprises a plurality of point coordinate differences and scoring values which are in one-to-one correspondence, and generally, the larger the numerical value of the point coordinate differences is, the lower the scoring value is. Giving auxiliary judgment weights corresponding to the scoring values to obtain single scores; when the auxiliary judgment weight is given, the auxiliary judgment weight and the grading value are correspondingly multiplied.
According to the method and the device, the auxiliary judgment weight and the point position coordinate difference-scoring value library are introduced, the single item score is determined based on the auxiliary judgment weight corresponding to the scoring value, and the accuracy of single item score acquisition is improved.
In one embodiment, the attribution module attributing a cause of disqualification of exhaust emission of the target vehicle, determining correction information of attribution results, and delivering the correction information to a corresponding vehicle owner, including:
obtaining a second target score of the target vehicle, taking the second target score which is smaller than the corresponding score threshold value in the second target score as a third target score, and determining the generation condition of the tail gas evaluated by the third target score;
acquiring vehicle information of the target vehicle;
determining the rectification information of the attribution result according to the generation condition and the vehicle information;
acquiring a vehicle-to-machine node of the target vehicle;
and delivering the rectifying information to the corresponding vehicle-mounted node.
The working principle and the beneficial effects of the technical scheme are as follows:
automobile detection station [ e.g.: after detecting the unqualified evaluation vehicles of the tail gas emission, the annual inspection center can require the corresponding vehicle owners to overhaul the corresponding evaluation vehicles for review, and the fine inspection of the entry of each project of the vehicle is required to be repeated, so that the efficiency is low and the problem is needed to be solved.
The second target score is: detecting the scores of unqualified evaluation vehicles, selecting a third target score smaller than a corresponding score threshold value from the second target scores, and determining the generation conditions of the tail gas of the third target score evaluation [ for example: insufficient oxidation, etc.). Vehicle information of the target vehicle is acquired [ for example: the vehicle uses gasoline x; the vehicle information can be provided by the vehicle owner or can be obtained through on-site detection. From the generation conditions and the vehicle information, attribution results are determined [ for example: correction information of spark plug failure [ e.g.: replacing the spark plug. The vehicle-mounted node of the target vehicle is as follows: and when the communication node of the vehicle machine of the target vehicle is obtained, the communication node is obtained based on the technology of the internet of vehicles. And sending the rectifying information to the corresponding vehicle-mounted node.
According to the vehicle correction information pushing method, the correction information and the vehicle machine node are introduced, the correction information of the vehicle is pushed to the vehicle owner corresponding to the vehicle machine node, and the vehicle correction information pushing method is more humanized and intelligent.
In one embodiment, the acquiring the vehicle information of the target vehicle includes:
acquiring detection information of a detection station for detecting the vehicle condition of the target vehicle, and taking the detection information as the vehicle information;
and/or the number of the groups of groups,
and acquiring vehicle registration information of the target vehicle, and taking the vehicle registration information as the vehicle information.
The working principle and the beneficial effects of the technical scheme are as follows:
there are two ways to obtain vehicle information. First kind: acquiring detection information of a detection station for detecting the vehicle condition of a target vehicle, and taking the detection information as vehicle information; the detection information comprises: and a photographed image when a worker at the inspection site performs inspection. Second kind: the vehicle registration information of the target vehicle is acquired through a vehicle registration record stored in a vehicle management institution of the district where the target vehicle is located.
According to the method and the device for acquiring the vehicle information, two modes are introduced to acquire the vehicle information, and the comprehensiveness of acquiring the vehicle information is improved.
In one embodiment, said determining said modification information of said attribution result according to said generating condition and said vehicle information comprises:
analyzing the vehicle information to obtain a part distribution image of the target vehicle;
determining current part images corresponding to a plurality of parts in the part distribution image;
acquiring an initial part image corresponding to the part;
determining a distinguishing part based on the current part image and the initial part image;
carrying out correlation analysis on the attribution result and the distinguishing part to obtain a correlation value;
acquiring a correction factor of the correlation value;
correcting the correlation value according to the correction factor to obtain a correction value;
if the modification value is greater than or equal to a preset modification value threshold, the corresponding distinguishing part is used as a recommended modification part;
and generating the rectifying sub-information of the recommended rectifying part, and integrating all rectifying sub-information to obtain the rectifying information.
The working principle and the beneficial effects of the technical scheme are as follows:
the part distribution image is as follows: profile of a part of an automobile. A current part image of each part is determined locally in the part distribution image. The preset initial part image is: unused parts, brand new image [ e.g.: images of the same model of engine). Distinguishing parts in the current part image are determined. Carrying out correlation analysis on the attribution result and the distinguishing parts to obtain a correlation value, wherein the bigger the correlation value is, the more the distinguishing parts are likely to cause the pollution of the relevant tail gas; when the correlation analysis is carried out, the attribution result and the distinguishing parts are input into a preset correlation analysis model, and the correlation analysis model is as follows: the intelligent A I model is obtained by manually recording the correlation between the result of the standard exceeding of the automobile exhaust and the damaged automobile parts.
The correction factor of the correlation value is: a matrix of correction values. Correcting the correlation value through a correction factor to obtain a correction value; the larger the modification value, the more likely the corresponding distinguishing part is to cause pollution. If the modification value is greater than or equal to a preset modification value threshold value [ the modification value threshold value is preset by a human being ], the corresponding distinguishing parts need modification. Generating modification sub-information of recommended modification parts [ for example: it is recommended to check the oxygen sensor. And integrating the rectifying sub-information of all the recommended rectifying parts to obtain rectifying information.
According to the method and the device, the initial part image and the current part image are compared, the distinguishing part is determined, and the rationality of determining the distinguishing part is improved; and a correction factor is introduced to correct the correlation value to obtain a correction value, so that the accuracy of obtaining the correction value is further improved.
In one embodiment, the obtaining the correction factor of the correlation value includes:
extracting part contours of the current part image to obtain a first three-dimensional contour, extracting the part contours of the initial part image to obtain a second three-dimensional contour, and calculating the coverage degree of the first three-dimensional contour and the second three-dimensional contour;
acquiring a first constraint scale between the coverage and the correlation value;
determining a first correction value based on the first constraint scale according to the coverage;
analyzing the vehicle information, acquiring the service life of the distinguishing part, and simultaneously acquiring a second constraint scale between the service life and the related value;
determining a second correction value based on the age based on the second constraint metric;
and constructing a correction factor according to the first correction value and the second correction value.
The working principle and the beneficial effects of the technical scheme are as follows:
based on the contour extraction technique, a first three-dimensional contour of the front part image and a second three-dimensional contour of the initial part image are extracted, respectively. Acquiring a first data sequence corresponding to a first three-dimensional contour, and simultaneously acquiring a second data sequence corresponding to a second three-dimensional contour; calculating the degree of overlap according to the first data sequence and the second data sequence, wherein the degree of overlap rho a,b The calculation formula is as follows:
wherein, the liquid crystal display device comprises a liquid crystal display device,
in the above formula, a i For the ith data, b in the first data sequence i For the ith data in the second data sequence, N is the total number of data in the first data sequence or the second data sequence.
The first constraint scale between the coverage and the correlation value is: constraint relation of coverage and correlation value. Based on the first constraint scale, a first correction value is determined from the degree of overlap. Vehicle information is analyzed, and the service lives of the different parts are acquired [ for example: 3 years, and simultaneously, acquiring a second constraint scale between the service life and the related value; the second constraint scale is: constraint relation between service life and correlation value. Based on the second constraint metric, a second correction value is determined from the age. Based on the first correction value and the second correction value, a correction factor is constructed [ for example: correction matrix.
According to the method, the coverage degree of the part profile is introduced, meanwhile, the constraint relation of the coverage degree to the correlation value is determined by introducing the first constraint scale, the first correction value is determined, and the accuracy of the first correction value is improved; a second constraint scale is introduced to determine the constraint relation of the service life to the correlation value, and a second correction value is determined, so that the method is more suitable; and the correction factors are built based on the first correction value and the second correction value, so that the comprehensiveness and rationality of the correction factor construction are further improved.
The embodiment of the invention provides a low-carbon environment-friendly automobile exhaust emission assessment method, which is shown in fig. 2 and comprises the following steps:
step 1: acquiring tail gas parameters of an evaluation vehicle during tail gas emission evaluation, and simultaneously acquiring environment-friendly index parameters of the evaluation vehicle conforming to low-carbon environment-friendly standards;
step 2: according to the tail gas parameters and the environmental protection index parameters, environmental protection scoring is carried out, and a first target score is obtained;
step 3: screening out the evaluation vehicles with the first target scores smaller than the corresponding score thresholds, and taking the evaluation vehicles as target vehicles;
step 4: attributing the unqualified reasons of the tail gas emission of the target vehicle, determining rectification information of attribution results, and delivering the rectification information to corresponding vehicle owners.
In one embodiment, the obtaining the exhaust gas parameters of the estimated vehicle for exhaust gas emission estimation includes:
acquiring a transmission signal of gas detection equipment preset when the evaluation vehicle performs the exhaust emission evaluation;
determining a receiving device corresponding to the transfer signal, and acquiring a receiving signal corresponding to the transfer signal received by the receiving device;
performing signal processing on the received signal to obtain a processed signal;
analyzing the processing signal to obtain tail gas subparameters;
acquiring vehicle marking parameters of the evaluation vehicle corresponding to the tail gas subparameter;
and associating the tail gas subparameter with the corresponding vehicle marking parameter, and taking all the associated tail gas subparameter and the corresponding vehicle marking parameter as the tail gas parameter.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. An automobile exhaust emission evaluation system based on low carbon environmental protection, which is characterized by comprising:
the acquisition module is used for acquiring the tail gas parameters of the estimated vehicle during tail gas emission estimation, and simultaneously acquiring the environment-friendly index parameters of the estimated vehicle conforming to the low-carbon environment-friendly standard;
the evaluation module is used for carrying out environmental protection grading according to the tail gas parameters and the environmental protection index parameters to obtain a first target grading;
the screening module is used for screening the evaluation vehicles with the first target scores smaller than the corresponding score threshold and taking the evaluation vehicles as target vehicles;
and the attribution module is used for attributing the reasons of disqualification of the tail gas emission of the target vehicle, determining the rectifying information of attribution results and delivering the rectifying information to corresponding vehicle owners.
2. The low-carbon environment-friendly automobile exhaust emission evaluation system according to claim 1, wherein the acquisition module acquires exhaust parameters for evaluating exhaust emission of a vehicle, comprising:
acquiring a transmission signal of gas detection equipment preset when the evaluation vehicle performs the exhaust emission evaluation;
determining a receiving device corresponding to the transfer signal, and acquiring a receiving signal corresponding to the transfer signal received by the receiving device;
performing signal processing on the received signal to obtain a processed signal;
analyzing the processing signal to obtain tail gas subparameters;
acquiring vehicle marking parameters of the evaluation vehicle corresponding to the tail gas subparameter;
and associating the tail gas subparameter with the corresponding vehicle marking parameter, and taking all the associated tail gas subparameter and the corresponding vehicle marking parameter as the tail gas parameter.
3. The low-carbon environmental-friendly automobile exhaust emission assessment system according to claim 1, wherein the assessment module performs environmental-friendly scoring according to the exhaust parameter and the environmental-friendly index parameter to obtain a first target score, comprising:
acquiring a first gas category corresponding to the tail gas parameter, and simultaneously acquiring a second gas category corresponding to the environmental protection index parameter;
according to the first gas category and the second gas category, determining the tail gas parameters corresponding to the first gas category consistent with the second gas category in the first gas category, and taking the tail gas parameters as target sub-tail gas parameters;
determining a single score of the target sub-tail gas parameter according to the target sub-tail gas parameter;
and integrating all the single scores to obtain the first target score.
4. The low carbon environmentally friendly vehicle emissions assessment system of claim 3 wherein said determining a single score for said target sub-exhaust parameter based on said target sub-exhaust parameter comprises:
performing parameter division on the environmental protection index parameters based on the second gas category to obtain environmental protection index subparameters;
determining a plurality of judging sections on a preset number axis according to the environmental protection index subparameter;
acquiring a reasonable point location set in the judging section, and simultaneously determining an auxiliary judging weight corresponding to each reasonable point location in the reasonable point location set;
acquiring judgment points of target sub-tail gas parameters on the number axis;
calculating the point position coordinate difference between the judging point position and the reasonable point position, simultaneously obtaining a point position coordinate difference-grading value library corresponding to the judging point position and preset, and determining a grading value corresponding to the point position coordinate difference;
and giving the auxiliary judgment weight corresponding to the grading value to obtain the single grading.
5. The low-carbon environmentally friendly vehicle exhaust emission assessment system according to claim 1, wherein the attribution module attributing a cause of disqualification of the target vehicle exhaust emission, determining correction information of attribution results, and delivering the correction information to a corresponding vehicle owner, comprises:
obtaining a second target score of the target vehicle, taking the second target score which is smaller than the corresponding score threshold value in the second target score as a third target score, and determining the generation condition of the tail gas evaluated by the third target score;
acquiring vehicle information of the target vehicle;
determining the rectification information of the attribution result according to the generation condition and the vehicle information;
acquiring a vehicle-to-machine node of the target vehicle;
and delivering the rectifying information to the corresponding vehicle-mounted node.
6. The low-carbon environmentally friendly vehicle emissions assessment system according to claim 5, wherein said obtaining vehicle information of said target vehicle comprises:
acquiring detection information of a detection station for detecting the vehicle condition of the target vehicle, and taking the detection information as the vehicle information;
and/or the number of the groups of groups,
and acquiring vehicle registration information of the target vehicle, and taking the vehicle registration information as the vehicle information.
7. The low-carbon environmentally friendly vehicle exhaust emission assessment system according to claim 5, wherein said determining said modification information of said attribution result according to said generation condition and said vehicle information comprises:
analyzing the vehicle information to obtain a part distribution image of the target vehicle;
determining current part images corresponding to a plurality of parts in the part distribution image;
acquiring an initial part image corresponding to the part;
determining a distinguishing part based on the current part image and the initial part image;
carrying out correlation analysis on the attribution result and the distinguishing part to obtain a correlation value;
acquiring a correction factor of the correlation value;
correcting the correlation value according to the correction factor to obtain a correction value;
if the modification value is greater than or equal to a preset modification value threshold, the corresponding distinguishing part is used as a recommended modification part;
and generating the rectifying sub-information of the recommended rectifying part, and integrating all the rectifying sub-information to obtain the rectifying information.
8. The low-carbon environmentally friendly vehicle exhaust emission assessment system according to claim 7, wherein the obtaining the correction factor of the correlation value comprises:
extracting part contours of the current part image to obtain a first three-dimensional contour, extracting the part contours of the initial part image to obtain a second three-dimensional contour, and calculating the coverage degree of the first three-dimensional contour and the second three-dimensional contour;
acquiring a first constraint scale between the coverage and the correlation value;
determining a first correction value based on the first constraint scale according to the coverage;
analyzing the vehicle information, acquiring the service life of the distinguishing part, and simultaneously acquiring a second constraint scale between the service life and the related value;
determining a second correction value based on the age based on the second constraint metric;
and constructing a correction factor according to the first correction value and the second correction value.
9. The low-carbon environment-friendly automobile exhaust emission assessment method is characterized by comprising the following steps of:
step 1: acquiring tail gas parameters of an evaluation vehicle during tail gas emission evaluation, and simultaneously acquiring environment-friendly index parameters of the evaluation vehicle conforming to low-carbon environment-friendly standards;
step 2: according to the tail gas parameters and the environmental protection index parameters, environmental protection scoring is carried out, and a first target score is obtained;
step 3: screening out the evaluation vehicles with the first target scores smaller than the corresponding score thresholds, and taking the evaluation vehicles as target vehicles;
step 4: attributing the unqualified reasons of the tail gas emission of the target vehicle, determining rectification information of attribution results, and delivering the rectification information to corresponding vehicle owners.
10. The low-carbon environment-friendly automobile exhaust emission assessment method according to claim 9, wherein the obtaining the exhaust parameters of the vehicle for exhaust emission assessment comprises:
acquiring a transmission signal of gas detection equipment preset when the evaluation vehicle performs the exhaust emission evaluation;
determining a receiving device corresponding to the transfer signal, and acquiring a receiving signal corresponding to the transfer signal received by the receiving device;
performing signal processing on the received signal to obtain a processed signal;
analyzing the processing signal to obtain tail gas subparameters;
acquiring vehicle marking parameters of the evaluation vehicle corresponding to the tail gas subparameter;
and associating the tail gas subparameter with the corresponding vehicle marking parameter, and taking all the associated tail gas subparameter and the corresponding vehicle marking parameter as the tail gas parameter.
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