CN117949225B - Automobile emission detection method and system - Google Patents
Automobile emission detection method and system Download PDFInfo
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Abstract
The invention is suitable for the technical field of automobile emission detection, and provides an automobile emission detection method and an automobile emission detection system, wherein whether a target vehicle is a suspicious target vehicle is judged according to speed change data of the target vehicle in a preset test road section; when the target vehicle is judged to be the suspicious target vehicle, the test temperature sensing value of the emission system of the suspicious target vehicle in the preset test road section is acquired and analyzed. The method can intelligently and accurately judge whether the motor vehicle to be detected has the cheating operation of avoiding the detection of the tail gas detection point in a manner of accelerating in a short time, and after the cheating operation of the motor vehicle is determined, the tail gas emission of the cheating motor vehicle detected by the tail gas detection point can be reasonably corrected, so that the tail gas detection point can obtain the real tail gas emission of the cheating motor vehicle, and the intelligent degree and the application range of the automobile emission detection method are improved.
Description
Technical Field
The invention belongs to the technical field of automobile emission detection, and particularly relates to an automobile emission detection method and system.
Background
With the increase of global environmental protection consciousness and the increase of the requirement for controlling the atmospheric pollution, the detection of the emission of the automobile becomes an important link in the development of environmental protection and automobile industry.
In the process of detecting the tail gas emission of the motor vehicle, a detection department finds that under the condition that partial motor vehicle drivers clearly know that tail gas emission detection points exist on a road, the temperature of an emission system of the motor vehicle can be increased in a short time in a way of accelerating in a short time before the motor vehicle drivers approach the tail gas emission detection points, so that the combustion efficiency of pollutants in the tail gas is improved, the emission concentration is reduced, and the detection of the tail gas detection points is avoided;
In the prior art, the exhaust emission detection point cannot accurately distinguish the cheating operation behavior, and even if part of motor vehicles are judged to have the cheating operation behavior, the real exhaust emission of the cheating motor vehicles which are not subjected to cheating cannot be known.
Disclosure of Invention
The invention aims to provide a method and a system for detecting automobile emission, and aims to solve the problems in the background technology.
The invention is realized in that a method for detecting the emission of an automobile comprises the following steps:
Acquiring speed change data of a target vehicle in a preset test road section, and judging whether the target vehicle is a suspicious target vehicle according to the speed change data;
When the target vehicle is judged to be a suspicious target vehicle, acquiring and analyzing a test temperature sensing value of an emission system of the suspicious target vehicle in a preset test road section, and judging whether the emission system of the suspicious target vehicle has abnormal temperature fluctuation;
When the condition that the temperature fluctuation abnormality exists in the emission system of the suspicious target vehicle is determined, acquiring the real-time emission quantity of the suspicious target vehicle;
And according to the emission system change data, performing standard correction processing on the real-time emission quantity of the suspicious target vehicle.
As further defined by the technical solution of the embodiment of the present invention, the step of obtaining the vehicle speed change data of the target vehicle at the preset test road section and judging whether the target vehicle is a suspicious target vehicle according to the vehicle speed change data includes:
Acquiring the distance of a preset test road section and the running time of a target vehicle in the preset test road section, and calculating the average speed of the target vehicle in the preset test road section according to the running time of the target vehicle and the distance of the preset test road section;
Acquiring an initial speed of a target vehicle entering a preset test road section, and subtracting the initial speed of the target vehicle from the average speed of the target vehicle in the preset test road section to obtain speed change data;
When the vehicle speed change data is greater than a predetermined threshold value, the target vehicle is determined to be a suspicious target vehicle.
As a further limitation of the technical solution of the embodiment of the present invention, when the target vehicle is determined to be a suspicious target vehicle, the steps of acquiring and analyzing the test temperature sensing value of the emission system of the suspicious target vehicle in the preset test road section, and determining whether the emission system of the suspicious target vehicle has abnormal temperature fluctuation include:
When the target vehicle is judged to be a suspicious target vehicle, acquiring a preset number of test temperature sensing values of the emission system of the suspicious target vehicle from entering a preset test road section to leaving the preset test road section;
Drawing a test temperature change line diagram of an emission system of the suspicious target vehicle according to a preset number of test temperature sensing values;
And analyzing a test temperature change line graph of the emission system of the suspicious target vehicle, and judging whether the emission system of the suspicious target vehicle has abnormal temperature fluctuation.
As further defined by the technical solution of the embodiment of the present invention, the step of analyzing the test temperature variation line graph of the emission system of the suspicious target vehicle and judging whether the emission system of the suspicious target vehicle has abnormal temperature fluctuation includes:
Acquiring a preset temperature change data model, and matching a standard temperature change line diagram corresponding to a suspicious target vehicle in the preset temperature change data model;
Comparing the test temperature change line graph of the emission system of the suspicious target vehicle with the standard temperature change line graph corresponding to the suspicious target vehicle;
When deviation exists between the test temperature change line graph of the emission system of the suspicious target vehicle and the standard temperature change line graph corresponding to the suspicious target vehicle, determining that the emission system of the suspicious target vehicle has abnormal temperature fluctuation.
As a further limitation of the technical solution of the embodiment of the present invention, the step of performing the standard correction processing on the real-time emission of the suspicious target vehicle according to the emission system change data includes:
acquiring a test temperature change line graph and a standard temperature change line graph;
Acquiring a preset number of test temperature sensing values of the suspicious target vehicle in a preset test road section and a preset number of standard temperature sensing values corresponding to the preset number of test temperature sensing values according to the test temperature change line diagram and the standard temperature change line diagram;
And acquiring an emission correction formula, and carrying out standard correction processing on the real-time emission of the suspicious target vehicle by combining the emission correction formula, the real-time emission of the suspicious target vehicle, the preset number of test temperature sensing values and the preset number of standard temperature sensing values.
As a further limitation of the technical solution of the embodiment of the present invention, the emission correction formula is E R=ET ×c, where E R is a corrected emission of the suspicious target vehicle, E T is a real-time emission of the suspicious target vehicle, C is an emission variation amplitude value, and the calculation formula of the emission variation amplitude value is c= { (T A1-TB1）+（TA2-TB2）+......+（TAn-TBn）｝/n2), where T A refers to test temperature sensing data, T B refers to standard temperature sensing data, and n refers to a preset number.
An automotive emissions detection system, the system comprising: the system comprises a suspicious target vehicle determining module, a temperature fluctuation abnormality judging module, a real-time emission amount acquiring module and a real-time emission amount correcting module, wherein:
The suspicious target vehicle determining module is used for acquiring the vehicle speed change data of the target vehicle in a preset test road section and judging whether the target vehicle is a suspicious target vehicle according to the vehicle speed change data;
The temperature fluctuation abnormality judgment module is used for acquiring and analyzing a test temperature sensing value of an emission system of the suspicious target vehicle in a preset test road section when the target vehicle is judged to be the suspicious target vehicle, and judging whether the emission system of the suspicious target vehicle has temperature fluctuation abnormality or not;
The real-time emission quantity acquisition module is used for acquiring the real-time emission quantity of the suspicious target vehicle when the condition that the temperature fluctuation abnormality exists in the emission system of the suspicious target vehicle is determined;
And the real-time emission correction module is used for carrying out standard correction processing on the real-time emission of the suspicious target vehicle according to the emission system change data.
As a further limitation of the technical solution of the embodiment of the present invention, the suspicious target vehicle determination module specifically includes:
the average speed calculation unit is used for obtaining the distance of the preset test road section and the running time of the target vehicle in the preset test road section, and calculating the average speed of the target vehicle in the preset test road section according to the running time of the target vehicle and the distance of the preset test road section;
The vehicle speed change data acquisition unit is used for acquiring the initial vehicle speed of the target vehicle entering the preset test road section, and subtracting the initial speed of the target vehicle from the average vehicle speed of the target vehicle in the preset test road section to obtain vehicle speed change data;
and a suspicious target vehicle determination unit configured to determine that the target vehicle is a suspicious target vehicle when the vehicle speed change data is greater than a predetermined threshold.
As further defined by the technical solution of the embodiment of the present invention, the temperature fluctuation abnormality determination module specifically includes:
the system comprises a test temperature sensing value acquisition unit, a control unit and a control unit, wherein the test temperature sensing value acquisition unit is used for acquiring a preset number of test temperature sensing values of an emission system of a suspicious target vehicle from entering a preset test road section to leaving the preset test road section when the target vehicle is judged to be the suspicious target vehicle;
a test temperature change line drawing unit for drawing a test temperature change line of the exhaust system of the suspicious target vehicle according to the preset number of test temperature sensing values;
and the test temperature change line graph analysis unit is used for analyzing the test temperature change line graph of the emission system of the suspicious target vehicle and judging whether the emission system of the suspicious target vehicle has abnormal temperature fluctuation.
As a further limitation of the technical solution of the embodiment of the present invention, the temperature fluctuation abnormality determination module further includes:
the standard temperature change line graph acquisition unit is used for acquiring a preset temperature change data model and matching a standard temperature change line graph corresponding to the suspicious target vehicle in the preset temperature change data model;
the line diagram comparison unit is used for comparing the test temperature change line diagram of the emission system of the suspicious target vehicle with the standard temperature change line diagram corresponding to the suspicious target vehicle;
And the temperature fluctuation abnormality judgment unit is used for determining that the exhaust system of the suspicious target vehicle has temperature fluctuation abnormality when deviation exists between the test temperature change line graph of the exhaust system of the suspicious target vehicle and the standard temperature change line graph corresponding to the suspicious target vehicle.
Compared with the prior art, the method and the device have the advantages that the vehicle speed change data of the target vehicle in the preset test road section are obtained, and whether the target vehicle is a suspicious target vehicle is judged according to the vehicle speed change data; when the target vehicle is judged to be a suspicious target vehicle, acquiring and analyzing a test temperature sensing value of an emission system of the suspicious target vehicle in a preset test road section, and judging whether the emission system of the suspicious target vehicle has abnormal temperature fluctuation; when the condition that the temperature fluctuation abnormality exists in the emission system of the suspicious target vehicle is determined, acquiring the real-time emission quantity of the suspicious target vehicle; and according to the emission system change data, performing standard correction processing on the real-time emission quantity of the suspicious target vehicle. The method can intelligently and accurately judge whether the motor vehicle to be detected has the cheating operation of avoiding the detection of the tail gas detection point in a manner of accelerating in a short time, and after the cheating operation of the motor vehicle is determined, the tail gas emission of the cheating motor vehicle detected by the tail gas detection point can be reasonably corrected, so that the tail gas detection point can obtain the real tail gas emission of the cheating motor vehicle, and the intelligent degree and the application range of the automobile emission detection method are improved.
Drawings
FIG. 1 is a flow chart of a method provided by an embodiment of the present invention;
FIG. 2 is a flowchart of a method for determining whether a target vehicle is a suspicious target vehicle according to vehicle speed change data according to an embodiment of the present invention;
FIG. 3 is a flow chart of a test temperature variation line graph of an exhaust system of a suspected target vehicle plotted and analyzed in a method provided by an embodiment of the present invention;
FIG. 4 is a flow chart of a method for determining whether there is an abnormality in temperature fluctuation in an exhaust system of a suspected target vehicle according to an embodiment of the present invention;
FIG. 5 is a flowchart of a process for performing a specification correction on real-time emissions of a suspected target vehicle in a method provided by an embodiment of the present invention;
FIG. 6 is an application architecture diagram of a system provided by an embodiment of the present invention;
FIG. 7 is a block diagram illustrating a suspicious target vehicle determination module in a system according to an embodiment of the present invention;
FIG. 8 is a block diagram of a temperature fluctuation abnormality determination module in a system according to an embodiment of the present invention;
FIG. 9 is a standard temperature variation line graph provided by an embodiment of the present invention;
FIG. 10 is a plot of a test temperature change line provided by an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Fig. 1 shows a flowchart of a method provided by an embodiment of the present invention.
Specifically, the method for detecting the emission of the automobile specifically comprises the following steps:
step S100, obtaining speed change data of the target vehicle in a preset test road section, and judging whether the target vehicle is a suspicious target vehicle according to the speed change data.
Specifically, fig. 2 shows a flowchart for determining whether the target vehicle is a suspicious target vehicle based on the vehicle speed change data.
The method for judging whether the target vehicle is a suspicious target vehicle or not according to the vehicle speed change data comprises the following steps:
step S101, obtaining the distance of a preset test road section and the running time of a target vehicle in the preset test road section, and calculating the average speed of the target vehicle in the preset test road section according to the running time of the target vehicle and the distance of the preset test road section;
Step S102, obtaining an initial speed of a target vehicle entering a preset test road section, and subtracting the initial speed of the target vehicle from an average speed of the target vehicle in the preset test road section to obtain speed change data;
Step S103, when the vehicle speed change data is greater than a predetermined threshold value, it is determined that the target vehicle is a suspicious target vehicle.
In the embodiment of the invention, on a motor vehicle road with a tail gas detection point, a section of motor vehicle road is selected as a preset test road section, the end point of the preset test road section is the tail gas detection point, the starting point and the end point of the preset test road section are both provided with a vehicle speed detector, and the starting point and the end point of the preset test road section are both provided with intelligent high-definition cameras which are used for capturing and identifying motor vehicles passing through the preset test road section;
it can be understood that when a motor vehicle enters a preset test road section, an intelligent high-definition camera at the starting point of the preset test road section captures a real-time image of the motor vehicle and sets the motor vehicle as a target vehicle, the intelligent high-definition camera records the entering time of the target vehicle entering the preset test road section, meanwhile, a vehicle speed detector at the starting point of the preset test road section measures the real-time initial speed of the target vehicle, when the target vehicle drives to an exhaust gas detection point, the intelligent high-definition camera at the exhaust gas detection point recognizes the real-time image of the target vehicle and records the driving-away time of the target vehicle, and then the background processing cloud calculates the average driving speed of the target vehicle in the preset test road section through a speed calculation formula v=Δx/Δt, wherein Δx refers to the distance of the preset test road section, and Δt refers to the time interval, namely the time difference between the driving-away time and the entering time of the target vehicle in the preset test road section;
When the vehicle speed change data of the target vehicle in the preset test road section is greater than a preset threshold value, the target vehicle can be initially judged to be a suspicious target vehicle with the possibility of cheating manipulation.
Further, the method for detecting the emission of the automobile further comprises the following steps:
Step 200, when the target vehicle is determined to be a suspicious target vehicle, acquiring and analyzing a test temperature sensing value of the emission system of the suspicious target vehicle on a preset test road section, and determining whether the emission system of the suspicious target vehicle has abnormal temperature fluctuation.
Specifically, FIG. 3 shows a flow chart for plotting and analyzing a test temperature variation line graph of an exhaust system of a suspected target vehicle.
When the target vehicle is judged to be a suspicious target vehicle, acquiring and analyzing a test temperature sensing value of an emission system of the suspicious target vehicle in a preset test road section, and judging whether the emission system of the suspicious target vehicle has abnormal temperature fluctuation or not specifically comprises the following steps:
Step S201, when the target vehicle is judged to be a suspicious target vehicle, acquiring a preset number of test temperature sensing values of the emission system of the suspicious target vehicle from entering a preset test road section to leaving the preset test road section;
step S202, drawing a test temperature change line diagram of an emission system of a suspicious target vehicle according to a preset number of test temperature sensing values;
Step S203, analyzing the test temperature variation line graph of the emission system of the suspicious target vehicle, and judging whether the emission system of the suspicious target vehicle has abnormal temperature fluctuation.
In the embodiment of the invention, when the suspicious target vehicle has a speed-up abnormality in a short time, it is possible that a driver of the suspicious target vehicle tries to increase the temperature of an emission system of the suspicious target vehicle in a short time by the speed-up mode, and accordingly, the combustion efficiency of pollutants in tail gas is increased, so as to reduce the emission concentration, and further, the detection of a tail gas detection point is avoided, but the detection of the cheating operation of the suspicious target vehicle is judged only by a mode of vehicle speed change data (speed-up abnormality), because the situation that the suspicious target vehicle uniformly speeds up in a preset test road section exists, the temperature of the emission system of the suspicious target vehicle cannot be increased in a short time is also required, and whether the cheating operation of the suspicious target vehicle is detected for the tail gas detection point is determined by analyzing whether the emission system of the suspicious target vehicle has temperature fluctuation abnormality or not;
The infrared thermal imagers or the fixed temperature sensors with the same distance are preset on a preset test road section, each time a target vehicle passes through the infrared thermal imagers or the fixed temperature sensors, the infrared thermal imagers or the fixed temperature sensors can measure real-time test temperature sensing values of an exhaust system (mainly an exhaust gas exhaust pipe area of an automobile) of the target vehicle, when a certain target vehicle is judged to be a suspicious target vehicle, a background processing cloud call all the test temperature sensing values of the suspicious target vehicle, and the test temperature sensing values are drawn into a test temperature change line graph according to corresponding sequential positions on the preset test road section.
Specifically, fig. 4 shows a flowchart of a case of judging whether there is a temperature fluctuation abnormality in the exhaust system of the suspected target vehicle.
The method for judging whether the exhaust system of the suspicious target vehicle has abnormal temperature fluctuation specifically comprises the following steps:
Step S2031, acquiring a preset temperature change data model, and matching a standard temperature change line graph corresponding to a suspicious target vehicle in the preset temperature change data model;
Step S2032, comparing the test temperature change line graph of the exhaust system of the suspicious target vehicle with the standard temperature change line graph corresponding to the suspicious target vehicle;
In step S2033, when there is a deviation between the test temperature change line graph of the exhaust system of the suspicious target vehicle and the standard temperature change line graph corresponding to the suspicious target vehicle, it is determined that there is an abnormality in temperature fluctuation of the exhaust system of the suspicious target vehicle.
In the embodiment of the invention, a preset temperature change data model is preset in a background processing cloud, a large number of standard temperature change line graphs are stored in the preset temperature change data model, the standard temperature change line graphs comprise a plurality of standard temperature sensing values, and each standard temperature change line graph represents the temperature change of an exhaust system of a motor vehicle in different speed change processes;
After a test temperature change line graph of the suspicious target vehicle is drawn, the background processing cloud matches a corresponding standard temperature change line graph in a preset temperature change data model through the vehicle speed change process of the initial speed of the suspicious target vehicle and the average running speed in a preset test road section, then the background processing cloud compares the test temperature change line graph of the emission system of the suspicious target vehicle with the line amplitude change of the standard temperature change line graph corresponding to the suspicious target vehicle, and when obvious deviation exists between the line amplitude change of the test temperature change line graph of the emission system of the suspicious target vehicle and the line amplitude change of the standard temperature change line graph corresponding to the suspicious target vehicle, the situation that the emission system of the suspicious target vehicle has abnormal temperature fluctuation is determined;
it should be noted that the standard temperature change line diagram should be changed in real time with the change of air temperature;
Referring to fig. 9 and 10, it can be understood that the rising process of the fold line amplitude of the standard temperature change fold line graph is relatively gentle, and the test temperature change fold line graph of the suspicious target vehicle with the cheating maneuver will show the fold line amplitude (test point 1-test point 2) rising sharply.
Further, the method for detecting the emission of the automobile further comprises the following steps:
Step S300, when it is determined that there is a temperature fluctuation abnormality in the exhaust system of the suspicious target vehicle, the real-time emission amount of the suspicious target vehicle is acquired.
And step S400, performing standard correction processing on the real-time emission of the suspicious target vehicle according to the emission system change data.
Specifically, fig. 5 shows a flowchart of the specification correction process for the real-time emission amount of the suspected target vehicle.
The method for carrying out standard correction processing on the real-time emission of the suspicious target vehicle according to the emission system change data specifically comprises the following steps:
step S401, a test temperature change line graph and a standard temperature change line graph are obtained;
Step S402, obtaining a preset number of test temperature sensing values of the suspicious target vehicle in a preset test road section and a preset number of standard temperature sensing values corresponding to the preset number of test temperature sensing values according to the test temperature change line diagram and the standard temperature change line diagram;
Step S403, acquiring an emission correction formula, and carrying out standard correction processing on the real-time emission of the suspicious target vehicle by combining the emission correction formula, the real-time emission of the suspicious target vehicle, the preset number of test temperature sensing values and the preset number of standard temperature sensing values;
The emission amount correction formula is E R=ET ×c, where E R is a corrected emission amount of the suspicious target vehicle, E T is a real-time emission amount of the suspicious target vehicle, C is an emission amount variation amplitude value, and the calculation formula of the emission amount variation amplitude value is c= { (T A1-TB1）+（TA2-TB2）+......+（TAn-TBn）｝/n2), where T A refers to test temperature sensing data, T B refers to standard temperature sensing data, and n refers to a preset number.
In the embodiment of the invention, when the condition that the exhaust system of the suspicious target vehicle has abnormal temperature fluctuation is determined, the real-time emission of the suspicious target vehicle measured by the exhaust detection point is obtained, a background processing cloud end obtains a test temperature change line diagram of the suspicious target vehicle and a corresponding standard temperature change line diagram, then a preset number of test temperature sensing values of the suspicious target vehicle in a preset test road section and a preset number of standard temperature sensing values corresponding to the preset number of test temperature sensing values are obtained according to the test temperature change line diagram and the standard temperature change line diagram, then an emission correction formula is obtained, and the real-time emission of the suspicious target vehicle, the preset number of test temperature sensing values and the preset number of standard temperature sensing values are substituted into the emission correction formula to calculate the corrected emission of the suspicious target vehicle;
For example, referring to fig. 9 and 10, assuming that the preset number is 5 and the change process from the initial speed to the average running speed of the suspicious target vehicle is 20 to 60, the background processing cloud obtains a standard temperature line graph as shown in fig. 9 from the preset temperature change data model, and obtains standard temperature sensing values 120, 130, 150, 170 and 190 of 20, 30, 40, 50 and 60, then the background processing cloud obtains a preset number (five) of test temperature sensing values 120, 190, 194, 198 and 200 according to the drawn test temperature change line graph, and inputs the preset number (5) of standard temperature sensing values and the preset number (5) of test temperature sensing values into a calculation formula c= { (T A1-TB1）+（TA2-TB2）+......+（TAn-TBn）｝/n2), calculates C to be 5.68, and obtains E T with 5.68 times of E R according to the emission correction formula E R=ET ×c, that is, i.e. the actual emission of the suspicious target vehicle should be 5.68 times of the emission detected by the detection point;
Through the technical scheme, whether the motor vehicle to be detected has the cheating operation behavior for avoiding the detection of the tail gas detection point or not can be intelligently and accurately judged in a manner of accelerating in a short time, and after the cheating operation behavior of the motor vehicle is determined, the tail gas emission of the cheating motor vehicle detected by the tail gas detection point can be reasonably corrected, so that the tail gas detection point can obtain the real tail gas emission of the cheating motor vehicle, and the intelligent degree and the application range of the automobile emission detection method are improved.
Further, fig. 6 shows an application architecture diagram of the system provided by the embodiment of the present invention.
In another preferred embodiment of the present invention, an automobile emission detection system includes:
The suspicious target vehicle determining module 100 is configured to obtain vehicle speed change data of a target vehicle on a preset test road section, and determine whether the target vehicle is a suspicious target vehicle according to the vehicle speed change data.
Specifically, fig. 7 shows a block diagram of the suspicious target vehicle determination module 100 in the system according to the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the suspicious target vehicle determination module 100 specifically includes:
The average vehicle speed calculation unit 101 is configured to obtain a distance of a preset test road section and a running duration of the target vehicle in the preset test road section, and calculate an average vehicle speed of the target vehicle in the preset test road section according to the running duration of the target vehicle and the distance of the preset test road section;
the vehicle speed change data obtaining unit 102 is configured to obtain an initial vehicle speed of the target vehicle entering the preset test road section, and subtract the initial speed of the target vehicle from an average vehicle speed of the target vehicle in the preset test road section to obtain vehicle speed change data;
a suspicious target vehicle determination unit 103 for determining that the target vehicle is a suspicious target vehicle when the vehicle speed change data is greater than a predetermined threshold.
In the embodiment of the invention, on a motor vehicle road with a tail gas detection point, a section of motor vehicle road is selected as a preset test road section, the end point of the preset test road section is the tail gas detection point, the starting point and the end point of the preset test road section are both provided with a vehicle speed detector, and the starting point and the end point of the preset test road section are both provided with intelligent high-definition cameras which are used for capturing and identifying motor vehicles passing through the preset test road section;
It can be understood that when a motor vehicle enters a preset test section, an intelligent high-definition camera at the starting point of the preset test section captures a real-time image of the motor vehicle and sets the motor vehicle as a target vehicle, the intelligent high-definition camera records the entering time of the target vehicle into the preset test section, meanwhile, a vehicle speed detector at the starting point of the preset test section measures the real-time initial speed of the target vehicle, when the target vehicle drives to an exhaust gas detection point, the intelligent high-definition camera at the exhaust gas detection point recognizes the real-time image of the target vehicle and records the driving-off time of the target vehicle, and then a suspicious target vehicle determining module 100 calculates the average driving speed of the target vehicle in the preset test section through a speed calculation formula v=Δx/Δt, wherein Δx refers to the distance of the preset test section, and Δt refers to the time interval, namely the time difference between the driving-off time and the entering time of the target vehicle in the preset test section;
When the vehicle speed change data of the target vehicle in the preset test road section is greater than a preset threshold value, the target vehicle can be initially judged to be a suspicious target vehicle with the possibility of cheating manipulation.
Further, the vehicle emission detection system further includes:
The temperature fluctuation abnormality determination module 200 is configured to, when determining that the target vehicle is a suspicious target vehicle, acquire and analyze a test temperature sensing value of an emission system of the suspicious target vehicle on a preset test road section, and determine whether a situation of temperature fluctuation abnormality exists in the emission system of the suspicious target vehicle.
Specifically, fig. 8 shows a block diagram of a temperature fluctuation abnormality determination module 200 in the system according to the embodiment of the present invention.
In a preferred embodiment of the present invention, the temperature fluctuation abnormality determination module 200 specifically includes:
a test temperature sensing value obtaining unit 201, configured to obtain a preset number of test temperature sensing values of an exhaust system of a suspicious target vehicle from entering a preset test section to leaving the preset test section when the target vehicle is determined to be the suspicious target vehicle;
A test temperature change line drawing unit 202 for drawing a test temperature change line diagram of the exhaust system of the suspicious target vehicle according to the preset number of test temperature sensing values;
A test temperature change line graph analysis unit 203 for analyzing a test temperature change line graph of the emission system of the suspicious target vehicle, and judging whether or not there is a temperature fluctuation abnormality in the emission system of the suspicious target vehicle;
A standard temperature change line graph obtaining unit 204, configured to obtain a preset temperature change data model, and match a standard temperature change line graph corresponding to the suspicious target vehicle in the preset temperature change data model;
a line graph comparing unit 205 for comparing the test temperature change line graph of the exhaust system of the suspicious target vehicle with the standard temperature change line graph corresponding to the suspicious target vehicle;
And a temperature fluctuation abnormality determination unit 206 for determining that there is a temperature fluctuation abnormality in the exhaust system of the suspicious target vehicle when there is a deviation between the test temperature change line map of the exhaust system of the suspicious target vehicle and the standard temperature change line map corresponding to the suspicious target vehicle.
In the embodiment of the invention, when the suspicious target vehicle has a speed-up abnormality in a short time, it is possible that a driver of the suspicious target vehicle tries to increase the temperature of an emission system of the suspicious target vehicle in a short time by the speed-up mode, and accordingly, the combustion efficiency of pollutants in tail gas is increased, so as to reduce the emission concentration, and further, the detection of a tail gas detection point is avoided, but the detection of the cheating operation of the suspicious target vehicle is judged only by a mode of vehicle speed change data (speed-up abnormality), because the situation that the suspicious target vehicle uniformly speeds up in a preset test road section exists, the temperature of the emission system of the suspicious target vehicle cannot be increased in a short time is also required, and whether the cheating operation of the suspicious target vehicle is detected for the tail gas detection point is determined by analyzing whether the emission system of the suspicious target vehicle has temperature fluctuation abnormality or not;
The infrared thermal imagers or the fixed temperature sensors with the same distance are preset on a preset test road section, each time a target vehicle passes through the infrared thermal imagers or the fixed temperature sensors, the infrared thermal imagers or the fixed temperature sensors can measure real-time test temperature sensing values of an exhaust system (mainly an exhaust gas exhaust pipe area of an automobile) of the target vehicle, and when a certain target vehicle is judged to be a suspicious target vehicle, the temperature fluctuation abnormality judgment module 200 invokes all the test temperature sensing values of the suspicious target vehicle and draws the test temperature sensing values into a test temperature change line graph according to corresponding sequential positions on the preset test road section;
The temperature fluctuation anomaly determination module 200 is preset with a preset temperature change data model, a large number of standard temperature change line graphs are stored in the preset temperature change data model, the standard temperature change line graphs comprise a plurality of standard temperature sensing values, and each standard temperature change line graph represents temperature change of an exhaust system of the motor vehicle in different speed change processes;
After the test temperature change line graph of the suspicious target vehicle is drawn, the temperature fluctuation anomaly judgment module 200 matches the corresponding standard temperature change line graph in the preset temperature change data model through the vehicle speed change process of the initial speed of the suspicious target vehicle and the average running speed in the preset test road section, and then the temperature fluctuation anomaly judgment module 200 compares the test temperature change line graph of the emission system of the suspicious target vehicle with the line amplitude change of the standard temperature change line graph corresponding to the suspicious target vehicle, and when obvious deviation exists between the line amplitude change of the test temperature change line graph of the emission system of the suspicious target vehicle and the line amplitude change of the standard temperature change line graph corresponding to the suspicious target vehicle, the condition that the emission system of the suspicious target vehicle has temperature fluctuation anomaly is determined;
it should be noted that the standard temperature change line diagram should be changed in real time with the change of air temperature;
Referring to fig. 9 and 10, it can be understood that the rising process of the fold line amplitude of the standard temperature change fold line graph is relatively gentle, and the test temperature change fold line graph of the suspicious target vehicle with the cheating maneuver will show the fold line amplitude (test point 1-test point 2) rising sharply.
Further, the vehicle emission detection system further includes:
a real-time emission amount acquisition module 300 for acquiring the real-time emission amount of the suspicious target vehicle when it is determined that the emission system of the suspicious target vehicle has abnormal temperature fluctuation;
The real-time emission correction module 400 is configured to perform a standard correction process on the real-time emission of the suspected target vehicle according to the emission system variation data.
In the embodiment of the invention, when the condition that the exhaust system of the suspicious target vehicle has abnormal temperature fluctuation is determined, the real-time exhaust volume of the suspicious target vehicle measured by an exhaust detection point is obtained, a real-time exhaust volume correction module 400 obtains a test temperature change line diagram of the suspicious target vehicle and a corresponding standard temperature change line diagram, then a preset number of test temperature sensing values of the suspicious target vehicle in a preset test road section and a preset number of standard temperature sensing values corresponding to the preset number of test temperature sensing values are obtained according to the test temperature change line diagram and the standard temperature change line diagram, then an exhaust volume correction formula is obtained, and the real-time exhaust volume of the suspicious target vehicle, the preset number of test temperature sensing values and the preset number of standard temperature sensing values are substituted into the exhaust volume correction formula to calculate the corrected exhaust volume of the suspicious target vehicle;
For example, referring to fig. 9 and 10, assuming that the preset number is 5 and the change process from the initial speed to the average running speed of the suspicious target vehicle is 20 to 60, the real-time emission correction module 400 obtains a standard temperature line graph as shown in fig. 9 from the preset temperature change data model, and obtains standard temperature sensing values 120, 130, 150, 170 and 190 of 20, 30, 40, 50 and 60, and then the background processing cloud obtains a preset number (five) of test temperature sensing values 120, 190, 194, 198 and 200 according to the drawn test temperature change line graph, and inputs the preset number (5) of standard temperature sensing values and the preset number (5) of test temperature sensing values to a calculation formula c= { (T A1-TB1）+（TA2-TB2）+......+（TAn-TBn）｝/n2) of the emission change amplitude value, calculates C to be 5.68, and obtains E T of 5.68 times as large as E R according to the emission correction formula E R=ET ×c, i.e. the actual emission of the suspicious target vehicle should be 5.68 times as large as the emission detected by the detection point.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the embodiments may include several sub-steps or several stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of execution of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with at least some of the sub-steps or stages of other steps or other steps.
Those skilled in the art will appreciate that all or part of the processes in the methods of the above embodiments may be implemented by a computer program for instructing relevant hardware, where the program may be stored in a non-volatile computer readable storage medium, and where the program, when executed, may include processes in the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (SYNCHLINK) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the invention and are described in detail herein without thereby limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (4)
1. A method for detecting emissions from an automobile, the method comprising:
Acquiring speed change data of a target vehicle in a preset test road section, and judging whether the target vehicle is a suspicious target vehicle according to the speed change data;
When the target vehicle is judged to be a suspicious target vehicle, acquiring and analyzing a test temperature sensing value of an emission system of the suspicious target vehicle in a preset test road section, and judging whether the emission system of the suspicious target vehicle has abnormal temperature fluctuation;
When the target vehicle is judged to be a suspicious target vehicle, the steps of acquiring and analyzing the test temperature sensing value of the emission system of the suspicious target vehicle in the preset test road section and judging whether the emission system of the suspicious target vehicle has abnormal temperature fluctuation comprise the following steps:
When the target vehicle is judged to be a suspicious target vehicle, acquiring a preset number of test temperature sensing values of the emission system of the suspicious target vehicle from entering a preset test road section to leaving the preset test road section;
Drawing a test temperature change line diagram of an emission system of the suspicious target vehicle according to a preset number of test temperature sensing values;
analyzing a test temperature change line graph of an emission system of the suspicious target vehicle, and judging whether the emission system of the suspicious target vehicle has abnormal temperature fluctuation;
the step of analyzing the test temperature change line graph of the emission system of the suspicious target vehicle and judging whether the emission system of the suspicious target vehicle has abnormal temperature fluctuation comprises the following steps:
acquiring a preset temperature change data model, and matching a standard temperature change line diagram corresponding to a suspicious target vehicle in the preset temperature change data model, wherein the standard temperature change line diagram represents the temperature change of an exhaust system of the motor vehicle in different speed change processes;
Comparing the test temperature change line graph of the emission system of the suspicious target vehicle with the standard temperature change line graph corresponding to the suspicious target vehicle;
when deviation exists between the test temperature change line graph of the emission system of the suspicious target vehicle and the standard temperature change line graph corresponding to the suspicious target vehicle, determining that the emission system of the suspicious target vehicle has abnormal temperature fluctuation;
When the condition that the temperature fluctuation abnormality exists in the emission system of the suspicious target vehicle is determined, acquiring the real-time emission quantity of the suspicious target vehicle;
According to the change data of the emission system, carrying out standard correction processing on the real-time emission of the suspicious target vehicle;
the step of performing the standard correction processing on the real-time emission of the suspicious target vehicle according to the emission system change data comprises the following steps:
acquiring a test temperature change line graph and a standard temperature change line graph;
Acquiring a preset number of test temperature sensing values of the suspicious target vehicle in a preset test road section and a preset number of standard temperature sensing values corresponding to the preset number of test temperature sensing values according to the test temperature change line diagram and the standard temperature change line diagram;
Acquiring an emission correction formula, and carrying out standard correction processing on the real-time emission of the suspicious target vehicle by combining the emission correction formula, the real-time emission of the suspicious target vehicle, the preset number of test temperature sensing values and the preset number of standard temperature sensing values;
The emission amount correction formula is E R=ET ×c, where E R is a corrected emission amount of the suspicious target vehicle, E T is a real-time emission amount of the suspicious target vehicle, C is an emission amount variation amplitude value, and the calculation formula of the emission amount variation amplitude value is c= { (T A1-TB1）+（TA2-TB2）+......+（TAn-TBn）｝/n2), where T A refers to test temperature sensing data, T B refers to standard temperature sensing data, and n refers to a preset number.
2. The method for detecting the emission amount of a vehicle according to claim 1, wherein the step of acquiring vehicle speed change data of the target vehicle in a preset test section and judging whether the target vehicle is a suspicious target vehicle based on the vehicle speed change data comprises:
Acquiring the distance of a preset test road section and the running time of a target vehicle in the preset test road section, and calculating the average speed of the target vehicle in the preset test road section according to the running time of the target vehicle and the distance of the preset test road section;
Acquiring an initial speed of a target vehicle entering a preset test road section, and subtracting the initial speed of the target vehicle from the average speed of the target vehicle in the preset test road section to obtain speed change data;
When the vehicle speed change data is greater than a predetermined threshold value, the target vehicle is determined to be a suspicious target vehicle.
3. An automotive emissions detection system, the system comprising: the system comprises a suspicious target vehicle determining module, a temperature fluctuation abnormality judging module, a real-time emission amount acquiring module and a real-time emission amount correcting module, wherein:
The suspicious target vehicle determining module is used for acquiring the vehicle speed change data of the target vehicle in a preset test road section and judging whether the target vehicle is a suspicious target vehicle according to the vehicle speed change data;
The temperature fluctuation abnormality judgment module is used for acquiring and analyzing a test temperature sensing value of an emission system of the suspicious target vehicle in a preset test road section when the target vehicle is judged to be the suspicious target vehicle, and judging whether the emission system of the suspicious target vehicle has temperature fluctuation abnormality or not;
The temperature fluctuation abnormality judgment module specifically comprises:
the system comprises a test temperature sensing value acquisition unit, a control unit and a control unit, wherein the test temperature sensing value acquisition unit is used for acquiring a preset number of test temperature sensing values of an emission system of a suspicious target vehicle from entering a preset test road section to leaving the preset test road section when the target vehicle is judged to be the suspicious target vehicle;
a test temperature change line drawing unit for drawing a test temperature change line of the exhaust system of the suspicious target vehicle according to the preset number of test temperature sensing values;
the test temperature change line graph analysis unit is used for analyzing a test temperature change line graph of the emission system of the suspicious target vehicle and judging whether the emission system of the suspicious target vehicle has abnormal temperature fluctuation;
The temperature fluctuation abnormality judgment module further includes:
The system comprises a standard temperature change line graph acquisition unit, a target vehicle analysis unit and a target vehicle analysis unit, wherein the standard temperature change line graph acquisition unit is used for acquiring a preset temperature change data model and matching a standard temperature change line graph corresponding to a suspicious target vehicle in the preset temperature change data model, and the standard temperature change line graph represents the temperature change of an exhaust system of the motor vehicle in different speed change processes;
the line diagram comparison unit is used for comparing the test temperature change line diagram of the emission system of the suspicious target vehicle with the standard temperature change line diagram corresponding to the suspicious target vehicle;
A temperature fluctuation abnormality determination unit configured to determine that a temperature fluctuation abnormality exists in an exhaust system of a suspicious target vehicle when there is a deviation between a test temperature change line graph of the exhaust system of the suspicious target vehicle and a standard temperature change line graph corresponding to the suspicious target vehicle;
The real-time emission quantity acquisition module is used for acquiring the real-time emission quantity of the suspicious target vehicle when the condition that the temperature fluctuation abnormality exists in the emission system of the suspicious target vehicle is determined;
the real-time emission correction module is used for carrying out standard correction processing on the real-time emission of the suspicious target vehicle according to the emission system change data;
acquiring a test temperature change line graph and a standard temperature change line graph;
Acquiring a preset number of test temperature sensing values of the suspicious target vehicle in a preset test road section and a preset number of standard temperature sensing values corresponding to the preset number of test temperature sensing values according to the test temperature change line diagram and the standard temperature change line diagram;
Acquiring an emission correction formula, and carrying out standard correction processing on the real-time emission of the suspicious target vehicle by combining the emission correction formula, the real-time emission of the suspicious target vehicle, the preset number of test temperature sensing values and the preset number of standard temperature sensing values;
The emission amount correction formula is E R=ET ×c, where E R is a corrected emission amount of the suspicious target vehicle, E T is a real-time emission amount of the suspicious target vehicle, C is an emission amount variation amplitude value, and the calculation formula of the emission amount variation amplitude value is c= { (T A1-TB1）+（TA2-TB2）+......+（TAn-TBn）｝/n2), where T A refers to test temperature sensing data, T B refers to standard temperature sensing data, and n refers to a preset number.
4. The vehicle emissions detection system of claim 3, wherein the suspicious target vehicle determination module specifically comprises:
the average speed calculation unit is used for obtaining the distance of the preset test road section and the running time of the target vehicle in the preset test road section, and calculating the average speed of the target vehicle in the preset test road section according to the running time of the target vehicle and the distance of the preset test road section;
The vehicle speed change data acquisition unit is used for acquiring the initial vehicle speed of the target vehicle entering the preset test road section, and subtracting the initial speed of the target vehicle from the average vehicle speed of the target vehicle in the preset test road section to obtain vehicle speed change data;
and a suspicious target vehicle determination unit configured to determine that the target vehicle is a suspicious target vehicle when the vehicle speed change data is greater than a predetermined threshold.
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Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106525154A (en) * | 2016-09-30 | 2017-03-22 | 张英志 | Measurement device for tail gas flow exhausted by car under actual driving condition |
| CN108226046A (en) * | 2017-12-26 | 2018-06-29 | 中国科学技术大学 | A kind of telemetering motor vehicle tail modified result method |
| WO2018177526A1 (en) * | 2017-03-30 | 2018-10-04 | Avl List Gmbh | Robustness analysis for vehicles |
| CN210221806U (en) * | 2019-06-18 | 2020-03-31 | 深圳大雷汽车检测股份有限公司 | Pollution determination calibration vehicle and vehicle-mounted tail gas detection equipment thereof |
| CN111999451A (en) * | 2020-10-30 | 2020-11-27 | 成都成保发展股份有限公司 | Automobile exhaust anti-cheating detection system and method based on attitude sensor |
| CN112113911A (en) * | 2020-08-18 | 2020-12-22 | 北京理工大学 | Remote sensing big data detection method and system for automobile exhaust emission of ignition engine |
| CN113311114A (en) * | 2021-05-27 | 2021-08-27 | 河南省计量科学研究院 | Mobile calibration detection system of tail gas remote measuring device |
| CN115019484A (en) * | 2022-06-23 | 2022-09-06 | 淄博众擎大数据科技合伙企业(有限合伙) | Automobile exhaust real-time monitoring system |
| CN115565383A (en) * | 2022-09-30 | 2023-01-03 | 罗财香 | Remote sensing big data processing method and system |
| CN116220870A (en) * | 2023-03-30 | 2023-06-06 | 潍柴动力股份有限公司 | Control method and device for vehicle exhaust emission, electronic equipment and storage medium |
| CN116877248A (en) * | 2023-06-21 | 2023-10-13 | 天津大学 | Method for identifying temperature cheating at SCR (selective catalytic reduction) inlet of heavy diesel vehicle by using big data |
| CN117074046A (en) * | 2023-10-12 | 2023-11-17 | 中汽研汽车检验中心(昆明)有限公司 | Automobile laboratory emission test method and device in plateau environment |
-
2024
- 2024-03-26 CN CN202410346050.9A patent/CN117949225B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106525154A (en) * | 2016-09-30 | 2017-03-22 | 张英志 | Measurement device for tail gas flow exhausted by car under actual driving condition |
| WO2018177526A1 (en) * | 2017-03-30 | 2018-10-04 | Avl List Gmbh | Robustness analysis for vehicles |
| CN108226046A (en) * | 2017-12-26 | 2018-06-29 | 中国科学技术大学 | A kind of telemetering motor vehicle tail modified result method |
| CN210221806U (en) * | 2019-06-18 | 2020-03-31 | 深圳大雷汽车检测股份有限公司 | Pollution determination calibration vehicle and vehicle-mounted tail gas detection equipment thereof |
| CN112113911A (en) * | 2020-08-18 | 2020-12-22 | 北京理工大学 | Remote sensing big data detection method and system for automobile exhaust emission of ignition engine |
| CN111999451A (en) * | 2020-10-30 | 2020-11-27 | 成都成保发展股份有限公司 | Automobile exhaust anti-cheating detection system and method based on attitude sensor |
| CN113311114A (en) * | 2021-05-27 | 2021-08-27 | 河南省计量科学研究院 | Mobile calibration detection system of tail gas remote measuring device |
| CN115019484A (en) * | 2022-06-23 | 2022-09-06 | 淄博众擎大数据科技合伙企业(有限合伙) | Automobile exhaust real-time monitoring system |
| CN115565383A (en) * | 2022-09-30 | 2023-01-03 | 罗财香 | Remote sensing big data processing method and system |
| CN116220870A (en) * | 2023-03-30 | 2023-06-06 | 潍柴动力股份有限公司 | Control method and device for vehicle exhaust emission, electronic equipment and storage medium |
| CN116877248A (en) * | 2023-06-21 | 2023-10-13 | 天津大学 | Method for identifying temperature cheating at SCR (selective catalytic reduction) inlet of heavy diesel vehicle by using big data |
| CN117074046A (en) * | 2023-10-12 | 2023-11-17 | 中汽研汽车检验中心(昆明)有限公司 | Automobile laboratory emission test method and device in plateau environment |
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|---|---|
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