A motor vehicle pollutant emission management system based on big data

Abstract

The present invention belongs to the technical field of motor vehicle emission management, and specifically is a motor vehicle pollutant emission management system based on big data, including a processor, a motor vehicle emission monitoring module, a motor vehicle power-end diagnostic module, a motor vehicle purification-end diagnostic module and a pollutant emission early warning module; the present invention detects pollutants in the exhaust gas emitted by the corresponding motor vehicle to achieve effective monitoring of the pollutants emitted by the motor vehicle and accurately feedback early warnings, and when an unqualified motor vehicle emission signal is generated, a power-end diagnostic analysis is performed to achieve a preliminary diagnosis of the cause of the unqualified pollutant emission, and after a normal power-end signal is generated, the exhaust gas purification equipment of the corresponding motor vehicle is operated. Detection and analysis to achieve a comprehensive and accurate diagnosis and analysis of abnormal pollutant emissions, which helps users of the corresponding motor vehicles to take targeted countermeasures in a timely manner to facilitate motor vehicle pollutant emission supervision, and has a high level of intelligence.

Description

Technical Field

[0001] The present invention relates to the technical field of motor vehicle emission management, and in particular to a motor vehicle pollutant emission management system based on big data. Background Art

[0002] Motor vehicles refer to wheeled vehicles that are driven or towed by power devices and travel on roads for passengers or for transporting goods or for special engineering operations. Motor vehicles emit exhaust gas during operation. The pollutants in the exhaust gas will have a negative impact on the environment. These pollutants will not only damage the atmospheric environment and cause problems such as photochemical smog, but also make atmospheric environmental problems such as greenhouse effect, ozone layer depletion and acid rain more serious, which are very harmful to humans, animals and plants;

[0003] The purification end of a motor vehicle will purify the exhaust gas it emits, but it is currently difficult to effectively monitor and accurately feedback the pollutants in the exhaust gas after purification. When feedback is given that the motor vehicle pollutant emissions are unqualified, it is impossible to investigate and determine the cause, and it is difficult to diagnose and analyze abnormal pollutant emissions. The corresponding motor vehicle users cannot take targeted countermeasures in a timely manner, which is not conducive to the supervision of motor vehicle pollutant emissions, and the level of intelligence needs to be improved;

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a motor vehicle pollutant emission management system based on big data, which solves the problem that the existing technology is difficult to achieve effective monitoring and accurate feedback of pollutants in the exhaust gas after purification, and is unable to investigate and determine the causes when feedback is that the motor vehicle pollutant emissions are unqualified, making it difficult to diagnose and analyze abnormal pollutant emissions, which is not conducive to the supervision of motor vehicle pollutant emissions.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A motor vehicle pollutant emission management system based on big data, comprising a processor, a motor vehicle emission monitoring module, a motor vehicle power end diagnosis module, a motor vehicle purification end diagnosis module and a pollutant emission early warning module; the motor vehicle emission monitoring module detects pollutants in the exhaust gas emitted by the corresponding motor vehicle, and generates a motor vehicle emission qualified signal or a motor vehicle emission unqualified signal through pollutant analysis, and sends the motor vehicle emission qualified signal or the motor vehicle emission unqualified signal to the processor, the processor sends the motor vehicle emission unqualified signal to the motor vehicle power end diagnosis module and the pollutant emission early warning module, and the pollutant emission early warning module issues a corresponding early warning after receiving the motor vehicle emission unqualified signal;

[0008] The motor vehicle power-end diagnostic module performs power-end diagnostic analysis on the corresponding motor vehicle after receiving the motor vehicle emission unqualified signal, generates a power-end abnormal signal or a power-end normal signal through the power-end diagnostic analysis, sends the power-end abnormal signal or the power-end normal signal to the processor, and the processor sends the power-end normal signal to the motor vehicle purification-end diagnostic module, and sends the power-end abnormal signal to the pollutant emission early warning module, and the pollutant emission early warning module issues a corresponding early warning after receiving the power-end abnormal signal;

[0009] After receiving the normal signal from the power end, the motor vehicle purification end diagnostic module will perform operation detection and analysis on the exhaust purification equipment of the corresponding motor vehicle, and generate a purification end abnormal signal, a purification equipment replacement signal, a purification equipment cleaning and maintenance signal or a purification end normal signal of the corresponding motor vehicle through analysis. The purification end abnormal signal, the purification equipment replacement signal or the purification equipment cleaning and maintenance signal will be sent to the pollutant emission warning module via the processor. When the pollutant emission warning module receives the purification end abnormal signal, the purification equipment replacement signal or the purification equipment cleaning and maintenance signal, it will issue a corresponding warning.

[0010] Furthermore, the specific operation process of the motor vehicle emission monitoring module is as follows:

[0011] Collect carbon monoxide data, nitrogen oxide data, sulfur oxide data and particulate matter data in exhaust gas emitted by motor vehicles corresponding to several detection time points during the detection period, compare the carbon monoxide data corresponding to the detection time point with the preset carbon monoxide data threshold, mark the detection time point that exceeds the preset carbon monoxide data threshold as a carbon monoxide emission abnormal point, sum and calculate the carbon monoxide data of all detection time points and take the average to obtain the carbon monoxide average value, assign weight coefficients b1 and b2 to the number of carbon monoxide emission abnormal points and the carbon monoxide average value, and b1>b2>0; multiply the number of carbon monoxide emission abnormal points by b1 and multiply the carbon monoxide average value by b2, and sum the two sets of product results to obtain the carbon monoxide value; similarly, obtain the nitrogen oxide value, sulfur oxide value and particulate matter value;

[0012] The carbon monoxide value, the nitrogen oxide value, the sulfur oxide value and the particulate matter value are numerically compared with the preset carbon monoxide value threshold, the preset nitrogen oxide value threshold, the preset sulfur oxide value threshold and the preset particulate matter value threshold respectively. If at least one of the carbon monoxide value, the nitrogen oxide value, the sulfur oxide value and the particulate matter value exceeds the corresponding preset threshold, a motor vehicle emission unqualified signal is generated. If the carbon monoxide value, the nitrogen oxide value, the sulfur oxide value and the particulate matter value do not exceed the corresponding preset threshold, the carbon monoxide value is subtracted from the preset carbon monoxide value threshold to obtain a carbon monoxide deviation value. Similarly, the nitrogen oxide deviation value, the sulfur oxide deviation value and the particulate matter deviation value are obtained, and normalized calculation is performed to obtain the pollutant deviation coefficient. The pollutant deviation coefficient is numerically compared with the preset pollutant deviation coefficient threshold. If the pollutant deviation coefficient exceeds the preset pollutant deviation coefficient threshold, a motor vehicle emission qualified signal is generated; if the pollutant deviation coefficient does not exceed the preset pollutant deviation coefficient threshold, a motor vehicle emission unqualified signal is generated.

[0013] Furthermore, the specific analysis process of the power-end diagnostic analysis includes:

[0014] Collecting the gasoline spraying amount and gasoline spraying speed during the operation of the power end of the motor vehicle corresponding to the detection period, and collecting the intake speed value and air pressure value of the air inhaled during the operation of the power end of the motor vehicle corresponding to the detection period, numerically calculating the gasoline spraying amount and the gasoline spraying speed to obtain the oil condition value, and numerically calculating the intake speed value and the air pressure value of the inhaled air to obtain the gas condition value, performing ratio calculation on the oil condition value and the gas condition value to obtain the oil and gas distribution value, numerically comparing the oil and gas distribution value with a preset oil and gas distribution range, and generating an abnormal signal of the power end of the corresponding motor vehicle if the oil and gas distribution value is not within the preset oil and gas distribution range;

[0015] If the oil and gas distribution value is within the preset oil and gas distribution range, the difference between the oil and gas distribution value and the median of the preset oil and gas distribution range is calculated and the absolute value is taken to obtain the oil and gas distribution difference, and the intake detection coefficient of the motor vehicle corresponding to the detection period is obtained through intake detection analysis, the oil and gas distribution difference and the intake detection coefficient are numerically calculated to obtain the power-end diagnostic coefficient, and the power-end diagnostic coefficient is numerically compared with the preset power-end diagnostic coefficient threshold. If the power-end diagnostic coefficient exceeds the preset power-end diagnostic coefficient threshold, a power-end abnormal signal of the corresponding motor vehicle is generated. If the power-end diagnostic coefficient does not exceed the preset power-end diagnostic coefficient threshold, a power-end normal signal of the corresponding motor vehicle is generated, and the power-end normal signal is sent to the motor vehicle purification-end diagnostic module via the processor.

[0016] Furthermore, the specific analysis process of the inlet gas detection analysis is as follows:

[0017] The real-time detection data of the input air is obtained, and the real-time detection data includes the air oxygen content, air temperature, air humidity and air dust content. The maximum value and the minimum value of the suitable air temperature range are summed and calculated, and the average is taken to obtain the air temperature judgment value. The maximum value and the minimum value of the suitable air humidity range are summed and calculated, and the average is taken to obtain the air humidity judgment value. The air temperature is calculated by difference with the air temperature judgment value, and the absolute value is taken to obtain the air temperature performance data. The air humidity is calculated by difference with the air humidity judgment value, and the absolute value is taken to obtain the air humidity performance data. The air oxygen content, air dust content, air temperature performance data and air humidity performance data are weighted and summed to obtain the air intake detection coefficient.

[0018] Furthermore, the specific operation process of the motor vehicle purification end diagnostic module includes:

[0019] The gas delivery speed and delivery pressure of the purification end of the motor vehicle corresponding to the exhaust gas purification during the detection period are collected, the gas delivery speed and the delivery pressure are numerically calculated to obtain the purification influence coefficient, the purification influence coefficient is numerically compared with the preset purification influence coefficient threshold, if the purification influence coefficient exceeds the preset purification influence coefficient threshold, then the purification end abnormal signal of the corresponding motor vehicle is generated; if the purification influence coefficient does not exceed the preset purification influence coefficient threshold, then the purification end quality coefficient of the corresponding motor vehicle is obtained through purification end quality analysis, and the purification end quality coefficient is numerically compared with the preset purification end quality coefficient range;

[0020] If the purification end quality coefficient exceeds the maximum value of the preset purification end quality coefficient range, a purification equipment replacement signal for the corresponding motor vehicle is generated; if the purification end quality coefficient is within the preset purification end quality coefficient range, a purification equipment cleaning and maintenance signal for the corresponding motor vehicle is generated; if the purification end quality coefficient does not exceed the minimum value of the preset purification end quality coefficient range, a purification end normal signal for the corresponding motor vehicle is generated.

[0021] Furthermore, the specific analysis process of the purification end quality analysis is as follows:

[0022] The installation and use time of the exhaust purification equipment of the corresponding motor vehicle is obtained, the time difference between the current time and the installation and use time is calculated to obtain the use time, the actual working time of the corresponding exhaust purification equipment is marked as the purification time, and the number of cleaning and maintenance times of the corresponding exhaust purification equipment and the duration of each cleaning and maintenance are obtained, the duration of each cleaning and maintenance is summed up to obtain the total cleaning time, and the use time, purification time, number of cleaning and maintenance times and total cleaning time are normalized to obtain the purification end quality coefficient of the corresponding motor vehicle.

[0023] Further, the processor is connected in communication with the emission continuity supervision module, and the processor sends the motor vehicle emission qualified signal or the motor vehicle emission unqualified signal to the emission continuity supervision module. The emission continuity supervision module sets a supervision period of duration L1 during the driving process of the corresponding motor vehicle, and collects the motor vehicle emission monitoring results of several detection periods within the supervision period, marks the detection period that generates the motor vehicle emission unqualified signal as an abnormal period, calculates the time difference between two adjacent groups of abnormal periods to obtain the abnormal interval duration, and sums and calculates all the abnormal interval durations and takes the average to obtain the abnormal interval duration coefficient;

[0024] The duration of all abnormal time periods is summed up to obtain the total abnormal time value, the ratio of the total abnormal time value to L1 is calculated to obtain the abnormal time proportion value, the abnormal time proportion value and the abnormal interval time coefficient are numerically calculated to obtain the emission regulation coefficient, and the emission regulation coefficient is numerically compared with the preset emission regulation coefficient threshold. If the emission regulation coefficient exceeds the preset emission regulation coefficient threshold, an emission high-level warning signal is generated; if the emission regulation coefficient does not exceed the preset emission regulation coefficient threshold, a low-level emission warning signal is generated; if no motor vehicle emission unqualified signal is generated during the supervision period, an emission safety signal is generated.

[0025] Compared with the prior art, the present invention has the following beneficial effects:

[0026] 1. In the present invention, the exhaust gas emitted by the corresponding motor vehicle is tested for pollutants through the motor vehicle emission monitoring module to generate a motor vehicle emission qualified signal or a motor vehicle emission unqualified signal, so as to realize effective monitoring of the pollutants emitted by the motor vehicle and accurate feedback warning, and the motor vehicle emission unqualified signal is sent to the motor vehicle power end diagnosis module and the pollutant emission early warning module. After receiving the motor vehicle emission unqualified signal, the motor vehicle power end diagnosis module performs power end diagnosis analysis on the corresponding motor vehicle, and generates a power end abnormal signal or a power end normal signal through the power end diagnosis analysis, so as to realize the preliminary diagnosis of the cause of the unqualified pollutant emission;

[0027] 2. In the present invention, the normal signal of the power end is sent to the motor vehicle purification end diagnostic module through the motor vehicle power end diagnostic module for secondary diagnostic analysis, and the abnormal signal of the power end is sent to the pollutant emission warning module for warning. After receiving the normal signal of the power end, the motor vehicle purification end diagnostic module performs operation detection and analysis on the exhaust purification equipment of the corresponding motor vehicle to generate an abnormal signal of the purification end, a purification equipment replacement signal, a purification equipment cleaning and maintenance signal or a normal signal of the purification end of the corresponding motor vehicle, which helps the user of the corresponding motor vehicle to take targeted countermeasures in time to supervise the motor vehicle pollutant emissions, and has a high level of intelligence. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0029] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0030] Figure 2 This is a system block diagram of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] Embodiment 1: Figure 1 As shown, a motor vehicle pollutant emission management system based on big data proposed by the present invention includes a processor, a motor vehicle emission monitoring module, a motor vehicle power end diagnosis module, a motor vehicle purification end diagnosis module and a pollutant emission warning module, and the processor is communicatively connected with the motor vehicle emission monitoring module, the motor vehicle power end diagnosis module, the motor vehicle purification end diagnosis module and the pollutant emission warning module; the motor vehicle emission monitoring module detects pollutants emitted by the corresponding motor vehicle exhaust, and generates a motor vehicle emission qualified signal or a motor vehicle emission unqualified signal through pollutant analysis, so as to realize effective monitoring of pollutants emitted by the motor vehicle and accurately feedback and warn, and sends the motor vehicle emission qualified signal or the motor vehicle emission unqualified signal to the processor, and the processor sends the motor vehicle emission unqualified signal to the motor vehicle power end diagnosis module and the pollutant emission warning module, and the pollutant emission warning module issues a corresponding warning after receiving the motor vehicle emission unqualified signal; the specific operation process of the motor vehicle emission monitoring module is as follows:

[0033] Collect carbon monoxide data, nitrogen oxide data (mainly referring to the data value of nitrogen monoxide and nitrogen dioxide concentration), sulfur oxide data (mainly referring to the data value of sulfur monoxide and sulfur dioxide concentration) and particulate matter data (indicating the data value of solid particulate matter concentration) in the exhaust gas emitted by the motor vehicle corresponding to several detection time points during the detection period, compare the carbon monoxide data corresponding to the detection time point with the preset carbon monoxide data threshold, mark the detection time point exceeding the preset carbon monoxide data threshold as a carbon monoxide emission abnormal point, sum and calculate the carbon monoxide data of all detection time points and take the average to obtain the carbon monoxide mean value;

[0034] The number of carbon monoxide emission abnormal points and the carbon monoxide mean are assigned weight coefficients b1 and b2 respectively, and b1>b2>0; the number of carbon monoxide emission abnormal points is multiplied by b1 and the carbon monoxide mean is multiplied by b2, and the two sets of multiplication results are summed to obtain the carbon monoxide value; similarly, the nitrogen oxide value, the sulfur oxide value and the particulate matter value are obtained; it should be noted that the larger the carbon monoxide value, the larger the nitrogen oxide value, the larger the sulfur oxide value and the larger the particulate matter value, the worse the exhaust treatment effect of the corresponding motor vehicle is, and the more abnormal the corresponding pollutant emission condition is;

[0035] The carbon monoxide value, the nitrogen oxide value, the sulfur oxide value and the particulate matter value are numerically compared with the preset carbon monoxide value threshold, the preset nitrogen oxide value threshold, the preset sulfur oxide value threshold and the preset particulate matter value threshold, respectively. If at least one of the carbon monoxide value, the nitrogen oxide value, the sulfur oxide value and the particulate matter value exceeds the corresponding preset threshold, a motor vehicle emission unqualified signal is generated. If the carbon monoxide value, the nitrogen oxide value, the sulfur oxide value and the particulate matter value do not exceed the corresponding preset threshold, the preset carbon monoxide value threshold is subtracted from the carbon monoxide value to obtain a carbon monoxide deviation value. The larger the carbon monoxide deviation value is, the better the carbon monoxide condition in the exhaust gas is; similarly, the nitrogen oxide deviation value, the sulfur oxide deviation value and the particulate matter deviation value are obtained;

[0036] And through the formula The carbon monoxide deviation value WP, the nitrogen oxide deviation value QP, the sulfur oxide deviation value LP and the particulate matter deviation value KP are normalized and calculated to obtain the pollutant deviation coefficient WP, wherein eq1, eq2, eq3, eq4 are preset proportional coefficients, and the values ​​of eq1, eq2, eq3, eq4 are all greater than zero; and, the larger the value of the pollutant deviation coefficient WP is, the smaller the pollution to the atmospheric environment caused by the exhaust gas emitted by the motor vehicle corresponding to the detection period is; the pollutant deviation coefficient WP is numerically compared with the preset pollutant deviation coefficient threshold value, if the pollutant deviation coefficient WP exceeds the preset pollutant deviation coefficient threshold value, a qualified motor vehicle emission signal is generated; if the pollutant deviation coefficient WP does not exceed the preset pollutant deviation coefficient threshold value, a failed motor vehicle emission signal is generated.

[0037] After receiving the motor vehicle emission unqualified signal, the motor vehicle power end diagnostic module will perform power end diagnostic analysis on the corresponding motor vehicle, and generate a power end abnormal signal or a power end normal signal through the power end diagnostic analysis to achieve a preliminary diagnosis of the cause of the unqualified pollutant emission. When the power end abnormal signal is generated, it indicates that the possibility of unqualified pollutant emission due to the abnormality of the motor vehicle power end is high. The corresponding personnel can make corresponding operational adjustments or perform subsequent inspection and maintenance of the power end components, which is helpful to solve the problem of unqualified pollutant emission in a targeted manner. The power end abnormal signal or the power end normal signal is sent to the processor, and the processor sends the power end normal signal to the motor vehicle purification end diagnostic module for secondary diagnostic analysis, and sends the power end abnormal signal to the pollutant emission warning module. The pollutant emission warning module issues a corresponding warning after receiving the power end abnormal signal; the specific analysis process of the power end diagnostic analysis is as follows:

[0038] The gasoline injection amount and gasoline injection speed of the motor vehicle power end corresponding to the detection period during operation are collected, and the intake speed value and air pressure value of the air inhaled during operation of the motor vehicle power end corresponding to the detection period are collected, and the gasoline injection amount YT and the gasoline injection speed YS are numerically calculated by the formula YK=a1*YT+a2*YS to obtain the oil condition value YK, wherein a1 and a2 are preset weight coefficients, and the values ​​of a1 and a2 are both greater than zero; and the intake speed value QS and the air pressure value QY of the inhaled air are numerically calculated by the formula QK=h1*QS+h2*QY to obtain the gas condition value QK, wherein h1 and h2 are preset weight coefficients, and the values ​​of h1 and h2 are both greater than zero;

[0039] The oil condition value YK and the gas condition value QK are ratio-calculated to obtain the oil and gas distribution value FB. It should be noted that the oil and gas distribution value FB is a data value indicating the quality of the gasoline and air mixture. The oil and gas distribution value should be within the corresponding range to ensure the full combustion of the gasoline. The oil and gas distribution value FB is numerically compared with the preset oil and gas distribution range. If the oil and gas distribution value FB is not within the preset oil and gas distribution range, an abnormal signal of the power end of the corresponding motor vehicle is generated. If the oil and gas distribution value FB is within the preset oil and gas distribution range, the corresponding motor vehicle of the detection period is obtained through intake air detection analysis. The air intake detection coefficient is specifically as follows: obtaining the real-time detection data of the input air, the real-time detection data includes the oxygen content of the air, the air temperature, the air humidity and the amount of dust in the air, summing up the maximum value and the minimum value of the suitable air temperature range and taking the average value to obtain the air temperature judgment value, summing up the maximum value and the minimum value of the suitable air humidity range and taking the average value to obtain the air humidity judgment value, calculating the difference between the air temperature and the air temperature judgment value and taking the absolute value to obtain the air temperature performance data, calculating the difference between the air humidity and the air humidity judgment value and taking the absolute value to obtain the air humidity performance data;

[0040] By formula The air oxygen content WH, the air dust content QH, the air temperature performance data YH and the air humidity performance data SH are weighted and summed to obtain the air intake detection coefficient RQ; wherein eg1, eg2, eg3, and eg4 are preset weight coefficients, and eg1>eg2>eg4>eg3>0; it should be noted that the value of the air intake detection coefficient RQ is directly proportional to the air dust content QH, the air temperature performance data YH and the air humidity performance data SH, and is inversely proportional to the air oxygen content WH, and the larger the value of the air intake detection coefficient RQ, the worse the air quality of the input air, and the less conducive it is to the stable and efficient operation of the corresponding motor vehicle power end;

[0041] The difference between the oil and gas distribution value FB and the median of the preset oil and gas distribution range is calculated and the absolute value is taken to obtain the oil and gas distribution difference FC, and the oil and gas distribution difference and the intake detection coefficient are numerically calculated through the formula DZ=c1*FC+c2*RQ to obtain the power-end diagnostic coefficient DZ, wherein c1 and c2 are preset weight coefficients and the values ​​of c1 and c2 are both greater than zero; the power-end diagnostic coefficient DZ is numerically compared with the preset power-end diagnostic coefficient threshold, if the power-end diagnostic coefficient DZ exceeds the preset power-end diagnostic coefficient threshold, then a power-end abnormal signal of the corresponding motor vehicle is generated, if the power-end diagnostic coefficient DZ does not exceed the preset power-end diagnostic coefficient threshold, then a power-end normal signal of the corresponding motor vehicle is generated, and the power-end normal signal is sent to the motor vehicle purification-end diagnostic module via the processor.

[0042] After receiving the normal signal from the power end, the motor vehicle purification end diagnostic module will perform operation detection and analysis on the exhaust gas purification equipment of the corresponding motor vehicle, and generate the corresponding motor vehicle purification end abnormal signal, purification equipment replacement signal, purification equipment cleaning and maintenance signal or purification end normal signal through analysis. When the purification end abnormal signal, purification equipment replacement signal or purification equipment cleaning and maintenance signal is generated, it indicates that there is a high possibility that the pollutant emission is unqualified due to purification end factors. The purification end abnormal signal, purification equipment replacement signal or purification equipment cleaning and maintenance signal is sent to the pollutant emission warning module through the processor. The pollutant emission warning module issues a corresponding warning when receiving the purification end abnormal signal, purification equipment replacement signal or purification equipment cleaning and maintenance signal. The corresponding personnel shall replace the motor vehicle purification equipment in time when receiving the purification equipment replacement signal, and shall clean and maintain the motor vehicle purification equipment in time when receiving the purification equipment cleaning and maintenance signal to ensure its exhaust gas purification effect and purification efficiency. The specific analysis process is as follows:

[0043] The gas delivery speed and delivery pressure of the purification end of the motor vehicle for exhaust gas purification during the detection period are collected, and the gas delivery speed SY and the delivery pressure FY are numerically calculated by the formula JY=eu1*SY+eu2*FY to obtain the purification influence coefficient JY, wherein eu1 and eu2 are preset weight coefficients, eu1>eu2>1; and the larger the value of the purification influence coefficient JY, the more unfavorable it is for effective purification of the exhaust gas; the purification influence coefficient JY is numerically compared with the preset purification influence coefficient threshold, and if the purification influence coefficient JY exceeds the preset purification influence coefficient threshold, an abnormal purification end signal of the corresponding motor vehicle is generated; if the purification influence coefficient JY does not exceed the preset purification influence coefficient threshold, the purification end quality coefficient of the corresponding motor vehicle is obtained through purification end quality analysis;

[0044] The purification end quality analysis is specifically as follows: obtaining the installation and use time of the exhaust gas purification equipment of the corresponding motor vehicle, calculating the time difference between the current time and the installation and use time to obtain the use time, marking the actual working time of the corresponding exhaust gas purification equipment as the purification time, and obtaining the cleaning and maintenance times and the time of each cleaning and maintenance of the corresponding exhaust gas purification equipment, summing up the time of each cleaning and maintenance to obtain the total cleaning time, and normalizing the use time TP1, purification time TP2, cleaning and maintenance times TP3 and total cleaning time TP4 through the formula ZL=(fu1*TP1+fu2*TP2) / 2+fu3*TP2+fu4*TP4 to obtain the purification end quality coefficient ZL of the corresponding motor vehicle; wherein fu1, fu2, fu3, and fu4 are preset proportional coefficients, and the values ​​of fu1, fu2, fu3, and fu4 are all greater than zero;

[0045] It should be noted that the larger the value of the purification end quality coefficient ZL, the worse the quality of the corresponding motor vehicle purification equipment, the greater the possibility of unqualified pollutant emissions due to equipment quality factors, and the more the corresponding purification equipment tends to be scrapped and replaced; the purification end quality coefficient ZL is numerically compared with the preset purification end quality coefficient range; if the purification end quality coefficient ZL exceeds the maximum value of the preset purification end quality coefficient range, a purification equipment replacement signal for the corresponding motor vehicle is generated; if the purification end quality coefficient ZL is within the preset purification end quality coefficient range, a purification equipment cleaning and maintenance signal for the corresponding motor vehicle is generated; if the purification end quality coefficient ZL does not exceed the minimum value of the preset purification end quality coefficient range, a purification end normal signal for the corresponding motor vehicle is generated.

[0046] Embodiment 2: Figure 2As shown, the difference between this embodiment and embodiment 1 is that the processor is communicatively connected with the emission continuity supervision module, and the processor sends the motor vehicle emission qualified signal or the motor vehicle emission unqualified signal to the emission continuity supervision module. The emission continuity supervision module sets a supervision period of L1 during the driving process of the corresponding motor vehicle, and collects the motor vehicle emission monitoring results of several detection periods within the supervision period, marks the detection period in which the motor vehicle emission unqualified signal is generated as an abnormal period, calculates the time difference between two adjacent groups of abnormal periods to obtain the abnormal interval duration, sums up all abnormal interval durations and takes the average to obtain the abnormal interval duration coefficient; sums up all abnormal time periods to obtain the abnormal total time value, and calculates the ratio of the abnormal total time value to L1 to obtain the abnormal time ratio value;

[0047] The emission control coefficient PG is obtained by numerically calculating the asynchronous proportion value TG and the asynchronous time interval coefficient TD through the formula PG=hs1*TG+hs2 / TD, wherein hs1 and hs2 are preset proportional coefficients, and hs2>hs1>0; and the larger the value of the emission control coefficient PG, the more timely the corresponding motor vehicle needs to be repaired; the emission control coefficient PG is numerically compared with the preset emission control coefficient threshold, and if the emission control coefficient PG exceeds the preset emission control coefficient threshold, an emission advanced warning signal is generated; if the emission control coefficient PG does not exceed the preset emission control coefficient threshold, a low-level emission warning signal is generated; if no motor vehicle emission unqualified signal is generated within the supervision period, an emission safety signal is generated; the emission advanced warning signal is sent to the pollutant emission warning module via the processor, and the pollutant emission warning module issues a corresponding warning to remind the corresponding personnel to perform motor vehicle maintenance inspections in a timely manner, thereby effectively ensuring the subsequent pollutant emission safety.

[0048] The working principle of the present invention is as follows: when in use, the exhaust gas emitted by the corresponding motor vehicle is detected for pollutants through the motor vehicle emission monitoring module to generate a motor vehicle emission qualified signal or a motor vehicle emission unqualified signal, so as to realize effective monitoring of the pollutants emitted by the motor vehicle and accurately feedback and warn, and the motor vehicle emission unqualified signal is sent to the motor vehicle power end diagnosis module and the pollutant emission warning module. After receiving the motor vehicle emission unqualified signal, the motor vehicle power end diagnosis module will perform power end diagnosis and analysis on the corresponding motor vehicle, and generate a power end abnormal signal or a power end normal signal through the power end diagnosis and analysis to realize a preliminary diagnosis of the cause of the unqualified pollutant emission, and send the power end normal signal to the motor vehicle purification end diagnosis module for secondary diagnosis and analysis, and send the power end abnormal signal to the pollutant emission warning module for warning. After receiving the power end normal signal, the motor vehicle purification end diagnosis module will perform operation detection and analysis on the exhaust gas purification equipment of the corresponding motor vehicle to generate a purification end abnormal signal, a purification equipment replacement signal, a purification equipment cleaning and maintenance signal or a purification end normal signal of the corresponding motor vehicle, which is helpful for the user of the corresponding motor vehicle to take targeted countermeasures in time, so as to carry out motor vehicle pollutant emission supervision, and has a high level of intelligence.

[0049] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A motor vehicle pollutant emission management system based on big data, characterized in that: It includes a processor, a motor vehicle emission monitoring module, a motor vehicle power-end diagnostic module, a motor vehicle purification-end diagnostic module, and a pollutant emission early warning module; the motor vehicle emission monitoring module detects pollutants emitted by the exhaust gas of the corresponding motor vehicle, and generates a motor vehicle emission qualified signal or a motor vehicle emission unqualified signal through pollutant analysis, and sends the motor vehicle emission qualified signal or the motor vehicle emission unqualified signal to the processor, and the processor sends the motor vehicle emission unqualified signal to the motor vehicle power-end diagnostic module and the pollutant emission early warning module, and the pollutant emission early warning module issues a corresponding early warning after receiving the motor vehicle emission unqualified signal; The motor vehicle power-end diagnostic module performs power-end diagnostic analysis on the corresponding motor vehicle after receiving the motor vehicle emission unqualified signal, generates a power-end abnormal signal or a power-end normal signal through the power-end diagnostic analysis, sends the power-end abnormal signal or the power-end normal signal to the processor, and the processor sends the power-end normal signal to the motor vehicle purification-end diagnostic module, and sends the power-end abnormal signal to the pollutant emission early warning module, and the pollutant emission early warning module issues a corresponding early warning after receiving the power-end abnormal signal; The motor vehicle purification end diagnosis module performs operation detection and analysis on the exhaust gas purification equipment of the corresponding motor vehicle after receiving the normal signal from the power end, generates a purification end abnormal signal, a purification equipment replacement signal, a purification equipment cleaning and maintenance signal or a purification end normal signal of the corresponding motor vehicle through analysis, and sends the purification end abnormal signal, the purification equipment replacement signal or the purification equipment cleaning and maintenance signal to the pollutant emission warning module via the processor. The pollutant emission warning module issues a corresponding warning when receiving the purification end abnormal signal, the purification equipment replacement signal or the purification equipment cleaning and maintenance signal; The specific operation process of the motor vehicle emission monitoring module is as follows: Collect carbon monoxide data, nitrogen oxide data, sulfur oxide data and particulate matter data in exhaust gas emitted by motor vehicles corresponding to several detection time points during the detection period, compare the carbon monoxide data corresponding to the detection time point with the preset carbon monoxide data threshold, mark the detection time point that exceeds the preset carbon monoxide data threshold as a carbon monoxide emission abnormal point, sum and calculate the carbon monoxide data of all detection time points and take the average to obtain the carbon monoxide average value, assign weight coefficients b1 and b2 to the number of carbon monoxide emission abnormal points and the carbon monoxide average value, and b1>b2>0; multiply the number of carbon monoxide emission abnormal points by b1 and multiply the carbon monoxide average value by b2, and sum the two sets of product results to obtain the carbon monoxide value; similarly, obtain the nitrogen oxide value, sulfur oxide value and particulate matter value; The carbon monoxide value, the nitrogen oxide value, the sulfur oxide value and the particulate matter value are numerically compared with the preset carbon monoxide value threshold, the preset nitrogen oxide value threshold, the preset sulfur oxide value threshold and the preset particulate matter value threshold, respectively; if at least one of the carbon monoxide value, the nitrogen oxide value, the sulfur oxide value and the particulate matter value exceeds the corresponding preset threshold, a motor vehicle emission unqualified signal is generated; if the carbon monoxide value, the nitrogen oxide value, the sulfur oxide value and the particulate matter value do not exceed the corresponding preset threshold, the carbon monoxide value is subtracted from the preset carbon monoxide value threshold to obtain a carbon monoxide deviation value, and the nitrogen oxide deviation value, the sulfur oxide deviation value and the particulate matter deviation value are obtained in the same way, and a normalized calculation is performed to obtain a pollutant deviation coefficient, and the pollutant deviation coefficient is numerically compared with the preset pollutant deviation coefficient threshold; if the pollutant deviation coefficient exceeds the preset pollutant deviation coefficient threshold, a motor vehicle emission qualified signal is generated; If the pollutant deviation coefficient does not exceed the preset pollutant deviation coefficient threshold, a motor vehicle emission failure signal is generated; The specific analysis process of power end diagnostic analysis includes: Collecting the gasoline spraying amount and gasoline spraying speed during the operation of the power end of the motor vehicle corresponding to the detection period, and collecting the intake speed value and air pressure value of the air inhaled during the operation of the power end of the motor vehicle corresponding to the detection period, numerically calculating the gasoline spraying amount and the gasoline spraying speed to obtain the oil condition value, and numerically calculating the intake speed value and the air pressure value of the inhaled air to obtain the gas condition value, performing ratio calculation on the oil condition value and the gas condition value to obtain the oil and gas distribution value, numerically comparing the oil and gas distribution value with a preset oil and gas distribution range, and generating an abnormal signal of the power end of the corresponding motor vehicle if the oil and gas distribution value is not within the preset oil and gas distribution range; If the oil and gas distribution value is within the preset oil and gas distribution range, the oil and gas distribution value is compared with the median of the preset oil and gas distribution range for difference calculation and the absolute value is taken to obtain the oil and gas distribution difference, and the intake detection coefficient of the motor vehicle corresponding to the detection period is obtained through intake detection analysis, the oil and gas distribution difference and the intake detection coefficient are numerically calculated to obtain the power end diagnosis coefficient, and the power end diagnosis coefficient is numerically compared with the preset power end diagnosis coefficient threshold. If the power end diagnosis coefficient exceeds the preset power end diagnosis coefficient threshold, a power end abnormal signal of the corresponding motor vehicle is generated. If the power end diagnosis coefficient does not exceed the preset power end diagnosis coefficient threshold, a power end normal signal of the corresponding motor vehicle is generated, and the power end normal signal is sent to the motor vehicle purification end diagnosis module via the processor; The specific operation process of the motor vehicle purification end diagnostic module includes: The gas delivery speed and delivery pressure of the purification end of the motor vehicle corresponding to the exhaust gas purification during the detection period are collected, the gas delivery speed and the delivery pressure are numerically calculated to obtain the purification influence coefficient, the purification influence coefficient is numerically compared with the preset purification influence coefficient threshold, if the purification influence coefficient exceeds the preset purification influence coefficient threshold, then the purification end abnormal signal of the corresponding motor vehicle is generated; if the purification influence coefficient does not exceed the preset purification influence coefficient threshold, then the purification end quality coefficient of the corresponding motor vehicle is obtained through purification end quality analysis, and the purification end quality coefficient is numerically compared with the preset purification end quality coefficient range; If the purification end quality coefficient exceeds the maximum value of the preset purification end quality coefficient range, a purification equipment replacement signal for the corresponding motor vehicle is generated; if the purification end quality coefficient is within the preset purification end quality coefficient range, a purification equipment cleaning and maintenance signal for the corresponding motor vehicle is generated; if the purification end quality coefficient does not exceed the minimum value of the preset purification end quality coefficient range, a purification end normal signal for the corresponding motor vehicle is generated.

2. The motor vehicle pollutant emission management system based on big data according to claim 1 is characterized in that: The specific analysis process of the intake air detection analysis is as follows: The real-time detection data of the input air is obtained, and the real-time detection data includes the air oxygen content, air temperature, air humidity and air dust content. The maximum value and the minimum value of the suitable air temperature range are summed and calculated, and the average is taken to obtain the air temperature judgment value. The maximum value and the minimum value of the suitable air humidity range are summed and calculated, and the average is taken to obtain the air humidity judgment value. The air temperature is calculated by difference with the air temperature judgment value, and the absolute value is taken to obtain the air temperature performance data. The air humidity is calculated by difference with the air humidity judgment value, and the absolute value is taken to obtain the air humidity performance data. The air oxygen content, air dust content, air temperature performance data and air humidity performance data are weighted and summed to obtain the air intake detection coefficient.

3. The motor vehicle pollutant emission management system based on big data according to claim 1 is characterized in that: The specific analysis process of purification end quality analysis is as follows: The installation and use time of the exhaust purification equipment of the corresponding motor vehicle is obtained, the time difference between the current time and the installation and use time is calculated to obtain the use time, the actual working time of the corresponding exhaust purification equipment is marked as the purification time, and the number of cleaning and maintenance times of the corresponding exhaust purification equipment and the duration of each cleaning and maintenance are obtained, the duration of each cleaning and maintenance is summed up to obtain the total cleaning time, and the use time, purification time, number of cleaning and maintenance times and total cleaning time are normalized to obtain the purification end quality coefficient of the corresponding motor vehicle.

4. The vehicle pollutant emission management system based on big data according to claim 1 is characterized in that: The processor is in communication connection with the emission continuity supervision module, and the processor sends the motor vehicle emission qualified signal or the motor vehicle emission unqualified signal to the emission continuity supervision module. The emission continuity supervision module sets a supervision period of duration L1 during the driving process of the corresponding motor vehicle, and collects the motor vehicle emission monitoring results of several detection periods within the supervision period, marks the detection period that generates the motor vehicle emission unqualified signal as an abnormal period, calculates the time difference between two adjacent groups of abnormal periods to obtain the abnormal interval duration, and sums and calculates all the abnormal interval durations and takes the average to obtain the abnormal interval duration coefficient; The duration of all abnormal time periods is summed up to obtain the total abnormal time value, the ratio of the total abnormal time value to L1 is calculated to obtain the abnormal time proportion value, the abnormal time proportion value and the abnormal interval time coefficient are numerically calculated to obtain the emission regulation coefficient, and the emission regulation coefficient is numerically compared with the preset emission regulation coefficient threshold. If the emission regulation coefficient exceeds the preset emission regulation coefficient threshold, an emission high-level warning signal is generated; if the emission regulation coefficient does not exceed the preset emission regulation coefficient threshold, a low-level emission warning signal is generated; if no motor vehicle emission unqualified signal is generated during the supervision period, an emission safety signal is generated.

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