A method and system for detecting automobile exhaust based on a gas sensor array

Abstract

The present application relates to the technical field of automobile exhaust detection, and particularly relates to a method and system for detecting automobile exhaust based on a gas sensor array, which comprehensively evaluates the damage of the gas sensor according to the damage analysis of the sensor operation process in the environment where the sensor is located and the damage analysis of the sensor operation process caused by the change of the detection data in the detection process, and then determines the final maintenance cycle according to the comprehensive evaluation result of the damage of the gas sensor, so as to significantly improve the reliability and stability of the gas sensor, dynamically adjust the maintenance cycle according to the actual abnormal situation, keep the sensor in a good operating state at all times, reduce the risk of safety accidents caused by sensor failure, effectively reduce the maintenance cost, accurately arrange the maintenance work, avoid high cost caused by blind regular maintenance, reduce the production loss caused by sensor failure downtime, and realize the win-win of economic benefits and equipment performance.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of automobile exhaust detection, and in particular to an automobile exhaust detection method and system based on a gas sensor array. BACKGROUND

[0002] In order to effectively control automobile exhaust emissions and reduce their harm to the environment and human health, countries around the world have formulated strict automobile exhaust emission standards and require automobile manufacturers to install exhaust detection systems on vehicles to monitor exhaust emissions in real time and ensure that vehicle exhaust emissions meet relevant standards. As the core component of the automobile exhaust detection system, the gas sensor can accurately and timely detect the content of various components in the exhaust, providing key data support for the monitoring and control of exhaust emissions. However, the gas sensors used in current automobile exhaust detection face many challenges in actual application. On the one hand, the automobile exhaust emission environment is complex and variable, containing not only various harmful gases but also harsh working conditions such as high temperature, high humidity, corrosive gases, airflow impact, and vibration generated by vehicle operation, which can cause varying degrees of damage to the gas sensor, leading to sensor performance degradation, increased measurement error, and even failure, thereby affecting the accuracy and reliability of exhaust detection. On the other hand, the traditional maintenance method of gas sensors usually adopts a fixed standard maintenance period, which cannot be flexibly adjusted according to the actual damage of the sensor, and may cause problems of untimely maintenance or over-maintenance. Regular maintenance of sensors with low damage and relatively stable performance will waste unnecessary human, material and time resources, increasing maintenance costs; while for sensors with high damage and rapid performance degradation, a fixed maintenance period may not meet their actual maintenance needs, causing the sensor to fail to be repaired in time before a serious failure occurs, thereby affecting the normal operation of the exhaust detection system and failing to effectively monitor and control automobile exhaust emissions.

[0003] In addition, most existing automobile exhaust detection methods only focus on the detection results of exhaust components, ignoring the health status of the gas sensor itself, and lack real-time monitoring and accurate assessment of sensor damage, making it difficult to discover potential problems in the sensor in time and take effective maintenance measures in advance, thereby reducing the reliability and stability of the exhaust detection system.

[0004] In view of this, the present application provides an automobile exhaust detection method and system based on a gas sensor array. SUMMARY

[0005] In order to overcome the defects and deficiencies of the prior art, the present application provides an automobile exhaust detection method and system based on a gas sensor array.

[0006] In order to achieve the above object, the present application adopts the following technical solutions:

[0007] In a first aspect, the present application provides a vehicle exhaust detection method based on a gas sensor array, comprising the following steps:

[0008] S100, obtaining gas sensor detection data, exhaust condition data corresponding to the exhaust emission position, and corresponding vehicle transportation condition data;

[0009] S200, performing gas sensor damage anomaly analysis on the damage of the gas sensor by analyzing the exhaust condition data and the corresponding vehicle transportation condition data;

[0010] S300, performing detection process gas sensor damage analysis by analyzing the change of the gas sensor detection data;

[0011] S400, performing gas sensor anomaly analysis based on the gas sensor damage anomaly analysis result and the detection process gas sensor damage analysis result;

[0012] S500, performing actual gas sensor maintenance cycle analysis based on the gas sensor anomaly analysis result and the standard maintenance cycle;

[0013] S600, reminding the maintenance of the gas sensor according to the actual gas sensor maintenance cycle.

[0014] In an implementation manner of the present application, the step S100 comprises the following specific contents:

[0015] Step 110, installing a gas sensor array in the exhaust emission pipe of the corresponding vehicle to obtain the content of each component of the vehicle exhaust, obtaining the detection of each component of the exhaust during the operation of the gas sensor and the safety range of the corresponding gas sensor, analyzing the damage to the measurement process by detecting the influence of the change rate of the component on the measurement accuracy of the gas sensor, and quantitatively analyzing the influence of the sensor by detecting the corrosion influence of the component, wherein the gas sensor corresponds to the corresponding gas one by one;

[0016] Step 120, simultaneously obtaining the environmental data of the corresponding exhaust emission pipe position during the operation of the vehicle through an environmental sensor, including environmental temperature, humidity, corrosive gas concentration, and airflow velocity, etc. environmental data, also including vibration conditions such as vibration amplitude and vibration frequency caused by the vehicle, analyzing the influence of the environmental data and the vehicle operation condition on the sensor respectively, and then evaluating the external trauma degree of the comprehensive environment to the sensor;

[0017] Step 130, storing the obtained data in the storage module for use.

[0018] In an implementation form of the application, the gas sensor damage anomaly analysis in step S200 comprises the following specific steps:

[0019] Step 210, obtaining the environmental data in the tail gas pipe under the historical vehicle running state and the average vibration caused by the corresponding vehicle running;

[0020] Step 220, performing environmental impact anomaly analysis by comparing the environmental data in the tail gas pipe with the safety range of the corresponding environment that the gas sensor can withstand, wherein the environmental data includes environmental temperature, humidity, corrosive gas concentration and airflow velocity, and wherein the specific steps are as follows: obtaining the average value of the standard deviation of the environmental data and the safety range of the corresponding environment type that the gas sensor can withstand in a set period, setting it as the abnormal value of the corresponding environment type, and performing weighted summation on the abnormal values of all environment types to obtain the environmental impact anomaly analysis result;

[0021] Step 230, obtaining the average vibration caused by the vehicle running, setting the ratio of the average vibration amplitude to the maximum value of the safe vibration amplitude range of the gas sensor as the amplitude abnormal value, setting the ratio of the average vibration frequency to the maximum value of the safe vibration frequency range of the gas sensor as the vibration frequency abnormal value, and obtaining the vibration anomaly analysis result by multiplying the amplitude abnormal value and the vibration frequency abnormal value, wherein the safe vibration amplitude and frequency range determined by experiments are used as the reference, the actual vibration data is compared with the reference, the influence degree of vibration is quantified, and the product of the amplitude abnormal value and the vibration frequency abnormal value comprehensively considers the synergistic effect of vibration intensity and frequency, so that the vibration harm is more comprehensively reflected;

[0022] Step 240, performing weighted summation on the environmental impact anomaly analysis result and the vibration anomaly analysis result to obtain the gas sensor damage anomaly analysis result, wherein the anomaly analysis results of the environment and the vibration respectively quantify the damage contribution of different factors, the weighted summation ensures that the evaluation is more reasonable, conforms to the objective law of the multi-factor superimposed influence under the actual working condition, and improves the prediction accuracy.

[0023] In an implementation form of the application, the gas sensor damage analysis in the detection process in step S300 comprises the following specific contents:

[0024] Step 310, the change of the vehicle exhaust emission corresponding to the gas collected by the gas sensor is obtained, and the safety range of the gas sensor is obtained. Because frequent high concentration impact can cause irreversible passivation of the electrode catalyst of the electrochemical sensor, or change of the metal oxide lattice structure of the semiconductor sensor, resulting in reduced sensitivity, and severe concentration change can cause sensor memory effect, resulting in baseline drift, so the abnormal influence of these factors on the gas sensor is analyzed. By monitoring the actual exposure concentration of the gas sensor and the safety range, it can be predicted whether the sensor is in an overload risk state, so as to avoid irreversible damage caused by long-term over-limit use;

[0025] Step 320, the change of the vehicle exhaust emission corresponding to the gas is obtained, and the concentration change abnormality of the corresponding gas is obtained, wherein the concentration change abnormality of the corresponding gas is calculated as follows: the absolute value of the difference between the concentration value of the corresponding gas at the corresponding time in the corresponding vehicle driving period and the concentration of the corresponding gas at the previous time, and divided by the safety range value of the gas sensor, to obtain the concentration change abnormality at the corresponding time. The concentration change abnormality of all time in the corresponding driving period is averaged to obtain the concentration change abnormality of the corresponding gas.

[0026] Step 330, the concentration change abnormality at the corresponding time in the corresponding vehicle driving period is obtained, and the ratio of the gas concentration value at the corresponding time to the maximum value of the range is obtained to obtain the concentration size abnormality at the corresponding time. The concentration size abnormality at the corresponding time is multiplied by the concentration change abnormality to obtain the high concentration impact abnormality at the corresponding time. The high concentration impact abnormality of all time in the corresponding driving period is averaged to obtain the high concentration impact abnormality of the corresponding gas. In this way, the influence of high concentration impact of gas concentration change on the gas sensor is analyzed, and the instantaneous concentration absolute value and the change rate are combined to more comprehensively reflect the comprehensive damage potential.

[0027] Step 340, the obtained concentration change abnormality of the corresponding gas and the high concentration impact abnormality of the corresponding gas are weighted and summed to obtain the damage analysis result of the gas sensor in the detection process.

[0028] In an implementation manner of the present application, the gas sensor abnormality analysis in the step S400 comprises the following specific contents:

[0029] The gas sensor damage abnormality analysis result and the detection process gas sensor damage analysis result are weighted and summed to obtain the gas sensor abnormality analysis result, wherein the gas sensor damage abnormality analysis result is the damage of the gas sensor caused by external factors, and the detection process gas sensor damage analysis result is the damage of the gas sensor caused by internal factors in the detection process. The damage mechanisms of external factors and internal factors are independent of each other, but they can jointly accelerate the failure of the sensor.

[0030] In an implementation form of the present application, the analysis of the actual gas sensor maintenance period in step S500 comprises the following specific contents:

[0031] The sensor abnormality analysis result is divided by the set gas sensor abnormality analysis threshold value to obtain a sensor abnormality influence coefficient, and the standard maintenance period is divided by the sensor abnormality influence coefficient to obtain the actual gas sensor maintenance period. There is a close correlation between the abnormality degree of the gas sensor and the maintenance period. The sensor abnormality analysis result reflects the abnormality condition of the current sensor, and the set abnormality analysis threshold value is determined based on the sensor normal operation standard and safety requirements. The abnormality influence coefficient obtained by dividing the two can quantify the influence degree of the sensor abnormality on its normal operation. Since the sensor abnormality can accelerate the performance degradation and the failure probability, the maintenance period is adjusted based on the standard maintenance period and combined with the abnormality influence coefficient, which conforms to the dynamic relationship between the actual operation state of the sensor and the maintenance requirement.

[0032] In a second aspect, the present application further provides a vehicle exhaust detection system based on a gas sensor array, comprising:

[0033] A data acquisition module acquires gas sensor detection data corresponding to an exhaust emission position, exhaust condition data, and corresponding vehicle transportation condition data;

[0034] A damage abnormality analysis module performs gas sensor damage abnormality analysis on the damage of the gas sensor by analyzing the exhaust condition data and the corresponding vehicle transportation condition data;

[0035] A detection process analysis module performs detection process gas sensor damage analysis by analyzing the change of the gas sensor detection data;

[0036] A sensor abnormality analysis module performs gas sensor abnormality analysis based on the gas sensor damage abnormality analysis result and the detection process gas sensor damage analysis result;

[0037] A maintenance period analysis module analyzes the actual gas sensor maintenance period based on the gas sensor abnormality analysis result and the standard maintenance period;

[0038] A maintenance module reminds the maintenance of the gas sensor according to the actual gas sensor maintenance period.

[0039] In a third aspect, the present application provides an electronic device, comprising a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes a vehicle exhaust detection method based on a gas sensor array by calling the computer program stored in the memory.

[0040] In a fourth aspect, the present application provides a computer readable storage medium storing instructions which, when executed on a computer, cause the computer to perform a method for detecting automobile exhaust based on a gas sensor array.

[0041] Compared with the prior art, the present application has the following advantages and beneficial effects:

[0042] According to the damage analysis of the sensor operating process according to the environment in which the sensor is located and the damage analysis of the sensor operating process according to the change of the detection data in the detection process, the damage of the gas sensor is comprehensively evaluated, and the final determination of the maintenance period is performed according to the damage comprehensive evaluation result of the gas sensor. The reliability and stability of the gas sensor can be significantly improved. The maintenance period is dynamically adjusted according to the actual abnormal situation, so that the sensor can always be in a good operating state, the risk of safety accidents caused by sensor failure is reduced, the maintenance cost can be effectively reduced, the maintenance work can be accurately arranged, the high cost caused by blind regular maintenance is avoided, and the production loss caused by sensor failure downtime is reduced, achieving a win-win of economic benefit and equipment performance. BRIEF DESCRIPTION OF DRAWINGS

[0043] Other features, objects and advantages of the present application will become more apparent from the following detailed description of non-limiting embodiments with reference to the attached drawings:

[0044] Figure 1 The figure is a schematic diagram of the overall flow structure of the method embodiment of the present application;

[0045] Figure 2 The figure is a schematic diagram of the step S200 flow structure of the method embodiment of the present application;

[0046] Figure 3 The figure is a schematic diagram of the module composition structure of the system embodiment of the present application. DETAILED DESCRIPTION

[0047] The technical solutions of the present application will be described in detail below with reference to the drawings and specific embodiments. It should be understood that the embodiments of the present application and the specific features in the embodiments are detailed descriptions of the technical solutions of the present application, and are not limitations of the technical solutions of the present application. In the case of no conflict, the technical features in the embodiments of the present application and the embodiments can be combined with each other.

[0048] Please refer to Figure 1 , Figure 1 The figure is a schematic diagram of the overall flow of a method for detecting automobile exhaust based on a gas sensor array provided by the embodiment of the present application, which specifically includes the following steps:

[0049] S100, obtaining gas sensor detection data, exhaust condition data and corresponding vehicle transportation condition data corresponding to the exhaust emission position;

[0050] In the embodiment, step S100 includes the following specific contents:

[0051] Step 110, install a gas sensor array in the exhaust pipe of the corresponding vehicle to obtain the content of each component of automobile exhaust, obtain the detection of each component of the exhaust during the operation of the gas sensor and the safety range of the corresponding gas sensor, analyze the damage to the measurement process by detecting the influence of the change rate of the component on the measurement accuracy of the gas sensor, and at the same time, through the quantitative analysis of the influence of the corrosion of the component on the sensor, wherein the gas sensor corresponds to the corresponding gas one by one;

[0052] Step 120, at the same time, through the environment sensor, obtain the environmental data of the corresponding exhaust pipe position during the operation of the vehicle, including environmental temperature, humidity, corrosive gas concentration and airflow velocity, etc. Environmental data also includes vibration amplitude, vibration frequency and other vibration conditions caused by the vehicle, by analyzing the influence of environmental data and vehicle operation on the sensor, and then evaluating the external trauma degree of the comprehensive environment on the sensor;

[0053] Step 130, store the obtained data in the storage module for use;

[0054] S200, analyze the damage of the gas sensor by analyzing the exhaust condition data and the corresponding vehicle transportation data;

[0055] In the embodiment, as shown in Figure 2 , the gas sensor damage anomaly analysis in step S200 includes the following specific steps:

[0056] Step 210, obtain the environmental data in the exhaust pipe under the historical vehicle running state and the average vibration condition caused by the corresponding vehicle running. The historical data can reflect the environmental parameters and vibration characteristics of the vehicle under different working conditions (such as idle speed, acceleration, high-speed driving, etc.), which are important references for evaluating the health status of the sensor;

[0057] In step 220, environmental impact anomaly analysis is performed on the environmental data in the tail gas pipe and the safety range of the corresponding environment that the gas sensor can withstand, wherein the environmental data includes environmental temperature, humidity, corrosive gas concentration, and airflow flow rate. The specific steps are as follows: obtaining the average value of the standard deviation of the environmental data in a set period and the safety range of the corresponding environment type that the gas sensor can withstand, denoted as the anomaly value of the corresponding environment type, and performing weighted summation on the anomaly values of all environment types to obtain the environmental impact anomaly analysis result. It should be noted that the weights of various environment types are obtained through experiments. The specific experimental method is as follows: in the same environment, only one type of environmental data is changed, and the average impact of the corresponding environmental data on the service life of the gas sensor is obtained (for example, the service life is reduced by two days for every one degree increase in temperature), and the average impact of the corresponding environmental data is divided by the sum of the average impacts of all environmental data to obtain the weight of the corresponding environmental data. At the same time, the safety range of the corresponding environment that the gas sensor can withstand is also obtained through experiments. The standard deviation is the deviation of the corresponding value from the median value of the corresponding range divided by the corresponding range value. This method can quantitatively evaluate the cumulative damage of environmental factors (such as temperature, humidity, corrosive gas, and airflow) to the sensor. The safety range of the environmental parameters is determined by experiments, and the calculation of the anomaly value (standard deviation mean method) ensures the sensitivity to environmental fluctuations. The weight distribution is based on experimental data, making the anomaly analysis more consistent with the actual impact and improving the accuracy of the evaluation.

[0058] For example, the influence of various environmental factors on the sensor is described in detail. The influence mechanism of temperature: temperature fluctuations cause inconsistent expansion and contraction of internal metal / ceramic materials, leading to cracking of solder joints or peeling of coatings; the output signal of an electrochemical sensor is related to the reaction temperature (Arrhenius equation), for example: high temperature (> 150°C): accelerates the evaporation of electrolyte (such as the failure of NDIR sensors with liquid electrolyte), and the increase in thermal noise causes the signal baseline to drift (such as the nonlinear change in resistance value of MOS semiconductor sensors with temperature);

[0059] The influence mechanism of humidity: the absorption of water by the KOH electrolyte of an electrochemical sensor (such as a CO sensor) reduces the concentration, leading to a decrease in output current; high humidity (> 90% RH) accelerates the electrochemical corrosion of metal electrodes (such as Pt and Au), especially when SO2 is present, forming an acidic liquid film; water vapor in NDIR sensors absorbs infrared spectra (such as the 2.7 μm band), which interferes with the target gas (such as CO2 at 4.26 μm);

[0060] The influence mechanism of corrosive gas: SO2 / NOx reacts with the Pt catalyst of the electrochemical sensor to form PtS / PtO, covering the active sites; silicon compounds decompose into SiO2, blocking the optical filter of the optical sensor (such as hexamethyldisiloxane in automobile exhaust); material embrittlement: corrosive gas accelerates the corrosion of metal leads, causing electrical short circuits; it should be noted that different corrosive gases have different effects on the service life of the sensor, so the effects of different gases need to be obtained through experiments;

[0061] The influence mechanism of airflow velocity: high-speed airflow (> 5 m / s): destroys the steady-state diffusion layer of the electrochemical sensor, resulting in a lower concentration measurement (such as oxygen sensor error up to ± 15% in turbulent flow), high-speed airflow carrying carbon particles to scrub the optical sensor window, causing a decrease in light transmittance (such as PM concentration suddenly increasing when diesel vehicle DPF fails);

[0062] Step 230, obtain the average vibration caused by vehicle operation, set the ratio of the average vibration amplitude to the maximum value of the safe vibration amplitude range of the gas sensor as the amplitude abnormal value, set the ratio of the average vibration frequency to the maximum value of the safe vibration frequency range of the gas sensor as the vibration frequency abnormal value, obtain the vibration abnormal analysis result by multiplying the amplitude abnormal value and the vibration frequency abnormal value, the safe vibration amplitude and frequency range determined by experiments are used as the reference, the actual vibration data is compared with it (through ratio calculation), the influence degree of vibration is quantified, and the product of the amplitude and frequency abnormal values comprehensively considers the synergistic effect of vibration intensity and frequency, and more comprehensively reflects the vibration hazard;

[0063] For example, the influence of vibration on the sensor is described here: high-frequency vibration (such as engine vibration, 50-2000 Hz) causes fatigue fracture of internal brittle solder joints (such as gold wire bonding points) of the sensor, especially when the material toughness decreases at high temperatures; vibration acceleration (> 5g) causes micro-cracks in the gas permeable membrane (such as PTFE membrane) of the electrochemical sensor or the window mirror of the optical sensor, resulting in abnormal gas permeability or light path deviation; vibration promotes the shedding of internal carbon or catalyst particles in the sensor, blocking the gas path or contaminating the electrode (such as electrode carbon deposition in the PM sensor);

[0064] Step 240, weighted sum the environmental influence abnormal analysis result and the vibration abnormal analysis result to obtain the gas sensor damage abnormal analysis result, the environmental and vibration abnormal analysis results respectively quantify the damage contribution of different factors, the weighted sum ensures that the evaluation is more reasonable, conforms to the objective law of multi-factor superposition influence under actual working conditions, and improves the prediction accuracy;

[0065] For example, through a large number of experiments, the gas sensor is tested for a long time under different environmental conditions (such as different temperature, humidity, corrosive gas concentration, air flow velocity combination) and different vibration conditions (different amplitude, frequency), and the damage of the sensor is recorded. According to the experimental results, the influence degree of environmental factors and vibration factors on the damage of the sensor is analyzed, so as to determine the weight of the two in weighted summation. For example, if the experiment finds that the influence of environmental factors on the damage of the sensor accounts for 70%, and the influence of vibration factors accounts for 30%, then the weight of the environmental influence anomaly analysis result is 0.7, and the weight of the vibration anomaly analysis result is 0.3;

[0066] S300, detecting the damage of the gas sensor by analyzing the change of the detection data of the gas sensor;

[0067] In this embodiment, the damage analysis of the gas sensor in the detection process in step S300 specifically includes the following specific contents:

[0068] Step 310, obtaining the change of the vehicle exhaust emission corresponding gas collected by the corresponding gas sensor, and obtaining the safety range of the gas sensor. Frequent high concentration impact can cause irreversible passivation of the electrode catalyst (such as Pt) of the electrochemical sensor, or change of the metal oxide lattice structure of the semiconductor sensor, resulting in decreased sensitivity. In addition, severe concentration change can cause sensor memory effect (such as adsorption of gas molecules on the optical window of the infrared sensor), resulting in baseline drift. Therefore, the abnormal influence of these factors on the gas sensor is analyzed. By monitoring the actual exposure concentration of the gas sensor and the safety range, it can be predicted whether the sensor is in an overload risk state, so as to avoid irreversible damage caused by long-term overuse.

[0069] Step 320, obtaining the change of the vehicle exhaust emission corresponding gas, and obtaining the concentration change anomaly of the corresponding gas. The concentration change anomaly of the corresponding gas is calculated as follows: the absolute value of the difference between the concentration value of the corresponding gas at the corresponding time in the corresponding vehicle driving period and the concentration of the corresponding gas at the previous time, and divided by the safety range value of the gas sensor, to obtain the concentration change anomaly at the corresponding time. The concentration change anomaly of all times in the corresponding driving period is averaged to obtain the concentration change anomaly of the corresponding gas. In this way, the influence of the severity of the change of the gas concentration on the gas sensor is analyzed. By calculating the normalized concentration change rate, the unit difference of different gas ranges is eliminated, cross-sensor comparability is realized, the severity of fluctuation is dynamically evaluated, and transient high slope change is identified.

[0070] Step 330, obtain the concentration change abnormality at the corresponding time in the corresponding vehicle driving cycle, and obtain the ratio of the gas concentration value at the corresponding time to the maximum value of the range, to obtain the concentration size abnormality at the corresponding time, multiply the concentration size abnormality at the corresponding time by the concentration change abnormality to obtain the high concentration impact abnormality at the corresponding time, and average the high concentration impact abnormality at all times in the corresponding driving cycle time range to obtain the high concentration impact abnormality of the corresponding gas. In this way, the influence of the high concentration impact of the gas concentration change on the gas sensor is analyzed, the instantaneous concentration absolute value (the risk of approaching the upper limit of the range) and the change rate (the impact of steep rise / fall) are combined, and the comprehensive damage potential is more comprehensively reflected. The product operation (concentration size abnormality x change abnormality) can amplify the weight of extreme working conditions (such as 0 to 90% range of second-level jump);

[0071] Step 340, the obtained concentration change abnormality of the corresponding gas and the high concentration impact abnormality of the corresponding gas are weighted and summed to obtain the detection process gas sensor damage analysis result. Different sensor characteristics (such as electrochemical sensors are more afraid of rapid changes, and semiconductor sensors are more afraid of high absolute values) are adapted through weighted summation. The weight coefficient can be determined by principal component analysis (PCA): for example, experiments show that in the degradation of CO sensor, the fluctuation frequency contribution accounts for 58%, and the concentration absolute value accounts for 42%;

[0072] S400, gas sensor anomaly analysis based on gas sensor damage abnormality analysis result and detection process gas sensor damage analysis result;

[0073] In this embodiment, the gas sensor anomaly analysis in step S400 includes the following specific contents:

[0074] Obtain the gas sensor damage abnormality analysis result and the detection process gas sensor damage analysis result, and the weighted sum of the two obtains the gas sensor anomaly analysis result. The gas sensor damage abnormality analysis result is the damage of the gas sensor caused by external factors, and the detection process gas sensor damage analysis result is the damage of the gas sensor caused by internal factors in the detection process. Although the damage mechanisms of external factors and internal factors are independent of each other, they will jointly accelerate the failure of the sensor;

[0075] For example, in this step, the weight acquisition method is: long-term actual operation monitoring of the gas sensor of a plurality of vehicles is performed, and the damage of the sensor, environmental data, exhaust emission data, etc. are recorded. Analyze the actual influence of external factors (gas sensor damage abnormality analysis result) and internal factors (detection process gas sensor damage analysis result) on sensor damage, and determine the weights of the two according to the analysis result;

[0076] S500, actual gas sensor maintenance cycle analysis based on gas sensor anomaly analysis result and standard maintenance cycle;

[0077] In the embodiment, the analysis of the actual gas sensor maintenance period in step S500 includes the following specific contents:

[0078] The sensor abnormality analysis result is divided by the set gas sensor abnormality analysis threshold value to obtain a sensor abnormality influence coefficient. The actual gas sensor maintenance period is obtained by dividing the standard maintenance period by the sensor abnormality influence coefficient. There is a close correlation between the abnormality degree of the gas sensor and the maintenance period. The sensor abnormality analysis result reflects the abnormality condition of the current sensor, and the set abnormality analysis threshold value is determined based on the sensor normal operation standard and safety requirements. The abnormality influence coefficient obtained by dividing the two can quantify the influence degree of the sensor abnormality on its normal operation. Since the sensor abnormality can accelerate the performance degradation and the failure probability, the maintenance period is adjusted based on the standard maintenance period and combined with the abnormality influence coefficient, which conforms to the dynamic relationship between the actual operation state of the sensor and the maintenance demand. First, in terms of resource utilization, if the abnormality degree of the sensor is low and the abnormality influence coefficient is small, the actual maintenance period will be correspondingly extended, reducing unnecessary maintenance work and resource waste. Conversely, when the abnormality degree of the sensor is high and the abnormality influence coefficient is large, the actual maintenance period is shortened, and the sensor can be maintained in time to prevent greater losses caused by failure. Secondly, from the perspective of equipment reliability, the reliability and stability of the gas sensor can be significantly improved. According to the actual abnormality condition, the maintenance period is dynamically adjusted, so that the sensor can always be in a good operating state, reducing the risk of safety accidents caused by sensor failure. Finally, in terms of cost control, the maintenance cost can be effectively reduced. By accurately arranging the maintenance work, the high cost caused by blind regular maintenance is avoided, and the production loss caused by sensor failure downtime is reduced, achieving a win-win of economic benefit and equipment performance.

[0079] In the embodiment, the standard maintenance period is an attribute feature of the sensor after production, which is obtained by looking up the table. The set gas sensor abnormality analysis threshold value is obtained in the following way: a large amount of historical operation data of gas sensors is collected, including normal operation data and failure data. These data are statistically analyzed to find the maximum value of the sensor abnormality analysis result in the normal operation state, which is taken as a reference. Combined with a certain safety factor (such as 1.2 times), the gas sensor abnormality analysis threshold value is determined.

[0080] S600, the maintenance of the gas sensor is reminded according to the actual gas sensor maintenance period; the specific content is that the maintenance information is sent to the corresponding user and / or maintenance personnel through a wireless way at a fixed time when the gas sensor maintenance period time is reached, and the gas sensor is maintained regularly.

[0081] The embodiment has the advantages that: according to damage analysis of an environment in which a sensor is located on a sensor operation process and damage analysis of change of detection data in a detection process on the sensor operation process, comprehensive damage evaluation of the gas sensor is carried out, and then, according to a comprehensive damage evaluation result of the gas sensor, final determination of a maintenance period is carried out, so that the reliability and stability of the gas sensor can be significantly improved, the maintenance period is dynamically adjusted according to actual abnormal conditions, the sensor can be kept in a good operation state at all times, the risk of a safety accident caused by sensor failure is reduced, the maintenance cost can be effectively reduced, through accurate arrangement of maintenance work, high cost caused by blind regular maintenance is avoided, meanwhile, production loss caused by sensor failure shutdown is reduced, and a win-win of economic benefits and equipment performance is realized.

[0082] Please refer to Figure 3 , Figure 3 is a structural schematic diagram of a vehicle exhaust detection system based on a gas sensor array provided by the embodiment of the application, comprising:

[0083] A data acquisition module acquires gas sensor detection data corresponding to an exhaust emission position, exhaust condition data and corresponding vehicle transportation condition data.

[0084] A damage anomaly analysis module performs gas sensor damage anomaly analysis on the gas sensor by analyzing the exhaust condition data and the corresponding vehicle transportation condition data.

[0085] A detection process analysis module performs detection process gas sensor damage analysis by analyzing change of the gas sensor detection data.

[0086] A sensor anomaly analysis module performs gas sensor anomaly analysis based on the gas sensor damage anomaly analysis result and the detection process gas sensor damage analysis result.

[0087] A maintenance period analysis module analyzes an actual gas sensor maintenance period based on the gas sensor anomaly analysis result and a standard maintenance period.

[0088] A maintenance module reminds maintenance of the gas sensor according to the actual gas sensor maintenance period.

[0089] The above steps of implementing corresponding functions of each parameter and each unit module in the vehicle exhaust detection system based on the gas sensor array can refer to each parameter and step in the embodiment of the vehicle exhaust detection method based on the gas sensor array, and details are not repeated here.

[0090] The embodiment of the present application also provides an electronic device, comprising a memory, a processor and a communication bus; the memory and the processor are connected through the communication bus. The memory stores a gas sensor array-based automobile exhaust detection method provided by the above embodiment and capable of being loaded and executed by the processor.

[0091] The memory can be used for storing instructions, programs, codes, code sets or instruction sets. The memory 310 can comprise a program storage area and a data storage area, wherein the program storage area can store instructions for implementing an operating system, instructions for at least one function and instructions for implementing the gas sensor array-based automobile exhaust detection method provided by the above embodiment, etc.; and the data storage area can store data involved in the gas sensor array-based automobile exhaust detection method provided by the above embodiment, etc.

[0092] The processor can comprise one or more processing cores. The processor invokes data stored in the memory, executes various functions of the present application and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory. The processor can be at least one of an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a Central Processing Unit (CPU), a controller, a microcontroller and a microprocessor. It can be understood that, for different devices, the electronic device used for implementing the functions of the processor 320 can also be other devices, and the present embodiment does not make a specific limitation.

[0093] The communication bus can comprise a channel for transmitting information between the above components. The communication bus 330 can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The communication bus can be divided into an address bus, a data bus, a control bus, etc.

[0094] The embodiment of the present application provides a computer readable storage medium, which stores a computer program capable of being loaded and executed by a processor, and the computer program is used for executing the automobile exhaust detection method based on the gas sensor array provided by the above embodiment.

[0095] In the embodiment of the present application, the computer readable storage medium can be a tangible device that keeps and stores instructions for use by an instruction execution device. The computer readable storage medium can be, but is not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device or any combination of the above. Specifically, the computer readable storage medium can be a portable computer disk, a hard disk, a U disk, a random access memory (RAM), a read only memory (ROM), an erasable programmable read only memory (EPROM or flash memory), a stand random access memory (SRAM), a portable compact disk read only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, an optical disk, a magnetic disk, a mechanical coding device and any combination of the above.

[0096] The term "comprising" or "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or device.

[0097] The above description is only the preferred embodiment of the present application and the explanation of the applied technical principles. Those skilled in the art should understand that the application range involved in the present application is not limited to the technical solutions formed by the specific combination of the above technical features, and should also cover other technical solutions formed by any combination of the above technical features or equivalent features without departing from the above application concept. For example, the technical solutions formed by the mutual replacement of the above features and the technical features applied in the present application (but not limited to) having similar functions.

Claims

1. A method for detecting automobile exhaust gas based on a gas sensor array, characterized by, The method comprises the following steps: Obtain the gas sensor detection data, tail gas condition data corresponding to the tail gas emission position, and the corresponding vehicle transportation condition data; Perform gas sensor damage anomaly analysis on the gas sensor damage by analyzing the tail gas condition data and the corresponding vehicle transportation condition data; The method comprises the following specific steps: Obtain the environmental data in the tail gas pipe under the historical vehicle running state and the average vibration condition caused by the corresponding vehicle running; Perform environmental impact anomaly analysis on the environmental data in the tail gas pipe and the safety range of the corresponding environment that the gas sensor can withstand, wherein the specific steps are as follows: obtain the average value of the standard deviation of the safety range of the corresponding environment type that the gas sensor can withstand within a set period, and set it as the abnormal value of the corresponding environment type, and obtain the environmental impact anomaly analysis result by weighted summation of the abnormal values of all environment types; Obtain the average vibration condition caused by the vehicle running, set the ratio of the average vibration amplitude to the maximum value of the safe vibration amplitude range of the gas sensor as the amplitude abnormal value, set the ratio of the average vibration frequency to the maximum value of the safe vibration frequency range of the gas sensor as the vibration frequency abnormal value, and obtain the vibration anomaly analysis result by multiplying the amplitude abnormal value and the vibration frequency abnormal value; Obtain the gas sensor damage anomaly analysis result by weighted summation of the environmental impact anomaly analysis result and the vibration anomaly analysis result; Perform detection process gas sensor damage analysis by analyzing the change of the gas sensor detection data; the specific content includes the following: Obtain the change of the corresponding gas of the vehicle tail gas emission corresponding to the gas sensor collection, and obtain the safety range of the gas sensor; Obtain the change of the corresponding gas of the vehicle tail gas emission, and obtain the concentration change anomaly of the corresponding gas, wherein the concentration change anomaly of the corresponding gas is calculated by averaging the concentration change anomaly of all time points within the corresponding driving cycle time range; Obtain the concentration change anomaly of the corresponding time point within the corresponding vehicle driving cycle, and obtain the ratio of the gas concentration value of the corresponding time point to the maximum value of the range, to obtain the concentration size anomaly of the corresponding time point, and obtain the high concentration impact anomaly of the corresponding time point by multiplying the concentration size anomaly of the corresponding time point and the concentration change anomaly, and obtain the high concentration impact anomaly of the corresponding gas by averaging the high concentration impact anomaly of all time points within the corresponding driving cycle time range; Obtain the detection process gas sensor damage analysis result by weighted summation of the concentration change anomaly of the corresponding gas and the high concentration impact anomaly of the corresponding gas; Perform gas sensor anomaly analysis based on the gas sensor damage anomaly analysis result and the detection process gas sensor damage analysis result; Perform actual gas sensor maintenance cycle analysis based on the gas sensor anomaly analysis result and the standard maintenance cycle; Remind the maintenance of the gas sensor according to the actual gas sensor maintenance cycle.

2. The method according to claim 1, wherein, The step of obtaining the gas sensor detection data, tail gas condition data corresponding to the tail gas emission position, and the corresponding vehicle transportation condition data comprises the following specific content: A gas sensor array is installed in the exhaust pipe of a vehicle to obtain the content of each component of automobile exhaust, and the detection of each component of exhaust during the operation of the gas sensor and the safety range of the corresponding gas sensor are obtained; Meanwhile, the environmental data of the position of the exhaust pipe during the operation of the vehicle are obtained through the environmental sensor; The obtained data are stored in the storage module for use.

3. The method according to claim 2, wherein, The calculation method of the concentration change anomaly at the corresponding time is: the absolute value of the difference between the concentration value of the corresponding gas at the corresponding time and the concentration of the corresponding gas at the previous time during the driving cycle of the vehicle, divided by the safety range value of the gas sensor, to obtain the concentration change anomaly at the corresponding time.

4. The method according to claim 1, wherein, The gas sensor anomaly analysis includes the following specific contents: The gas sensor damage anomaly analysis result and the detection process gas sensor damage analysis result are obtained, and the two are weighted to obtain the gas sensor anomaly analysis result.

5. The method of claim 1, wherein the method is a method of detecting automobile exhaust gas based on a gas sensor array. The analysis of the actual gas sensor maintenance cycle includes the following specific contents: The gas sensor anomaly analysis result is divided by the set gas sensor anomaly analysis threshold value to obtain the sensor anomaly influence coefficient, and the standard maintenance cycle is divided by the sensor anomaly influence coefficient to obtain the actual gas sensor maintenance cycle.

6. A gas sensor array-based automotive exhaust detection system for implementing the gas sensor array-based automotive exhaust detection method of any one of claims 1-5, characterized in that, Specifically, it includes: A data acquisition module acquires gas sensor detection data, exhaust condition data, and corresponding vehicle transportation data at the exhaust emission position; A damage anomaly analysis module analyzes the damage of the gas sensor based on the exhaust condition data and the corresponding vehicle transportation data to perform gas sensor damage anomaly analysis; A detection process analysis module analyzes the change of the gas sensor detection data to perform detection process gas sensor damage analysis; A sensor anomaly analysis module performs gas sensor anomaly analysis based on the gas sensor damage anomaly analysis result and the detection process gas sensor damage analysis result; A maintenance cycle analysis module analyzes the actual gas sensor maintenance cycle based on the gas sensor anomaly analysis result and the standard maintenance cycle; A maintenance module reminds the maintenance of the gas sensor according to the actual gas sensor maintenance cycle.

7. An electronic device comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; characterized in that the processor executes a kind of automobile exhaust detection method based on gas sensor array as claimed in any one of claims 1-5 by calling the computer program stored in the memory.

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