Vehicle anomaly detection method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention provides a vehicle anomaly detection method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring vehicle data of a target vehicle; the vehicle data comprises measurement data of an engine and measurement data of a tail gas processor; determining whether the measurement data of the engine is normal; if it is determined that the measurement data of the engine is normal, whether the tail gas processor of the target vehicle is abnormal or not is determined according to the measurement data of the tail gas processor and a preset threshold set. The method is used for achieving the effects of accurately determining the reason causing the methanol engine fault and improving the accuracy of vehicle anomaly detection.

Description

Technical Field

[0001] The present application relates to the field of vehicle technology, and in particular to a vehicle abnormality detection method, device, electronic device and storage medium. Background Art

[0002] With the rapid development of vehicle technology and the increasing environmental protection requirements for vehicle emissions, it is necessary to post-treat the exhaust gas emitted by vehicle engines. Common post-treatment is to convert harmful gases into harmless gases through an exhaust gas processor.

[0003] Taking the methanol engine of a methanol vehicle as an example, the failure of the methanol engine may be caused by the internal part of the methanol engine, or it may be caused by a small amount of methanol fuel remaining in the engine after it is burned and continuing to burn during or after the exhaust process, resulting in the exhaust gas processor burning and causing the methanol engine failure. At present, there is no early warning method for methanol engine failure caused by exhaust gas processor burning, and the cause of the methanol engine failure cannot be accurately determined, and the detection accuracy of vehicle abnormalities is low. Summary of the invention

[0004] The embodiments of the present application provide a vehicle abnormality detection method, device, electronic device and storage medium for accurately determining the cause of methanol engine failure and improving the accuracy of vehicle abnormality detection.

[0005] In a first aspect, an embodiment of the present application provides a vehicle abnormality detection method, comprising:

[0006] Acquire vehicle data of the target vehicle; the vehicle data includes engine measurement data and exhaust gas processor measurement data;

[0007] Determine whether the engine's measurement data is normal;

[0008] If it is determined that the measurement data of the engine is normal, it is determined whether the exhaust gas processor of the target vehicle is abnormal based on the measurement data of the exhaust gas processor and a preset threshold set.

[0009] In a possible implementation, the engine measurement data includes: an engine speed value, an engine coolant temperature value;

[0010] Determine whether the engine's measurement data is normal, including:

[0011] If the first preset condition is met, it is determined that the measured data of the engine is normal; the first preset condition includes that the engine speed value is within a preset speed range, and the engine coolant temperature value is less than or equal to a first temperature threshold.

[0012] In a possible implementation, the measurement data of the exhaust gas processor includes a temperature value inside the exhaust gas processor and a mixed gas concentration at an output end of the exhaust gas processor;

[0013] Correspondingly, the preset threshold value set includes a second temperature threshold value and a mixed gas concentration threshold value;

[0014] Determine whether the exhaust gas processor of the target vehicle is abnormal based on the measurement data of the exhaust gas processor and the preset threshold set, including:

[0015] If the second preset condition is met, it is determined that the exhaust gas processor of the target vehicle is abnormal; the second preset condition includes at least one of the following:

[0016] The temperature value inside the exhaust gas processor is greater than or equal to the second temperature threshold;

[0017] The mixed gas concentration at the output end of the exhaust gas processor is greater than or equal to the mixed gas concentration threshold.

[0018] In a possible implementation, the method further includes: determining an abnormality level of an exhaust gas processor of the target vehicle; the abnormality level includes a primary abnormality and a secondary abnormality;

[0019] If the temperature value inside the exhaust gas processor is greater than or equal to the second temperature threshold, and the mixed gas concentration at the output end of the exhaust gas processor is greater than or equal to the mixed gas concentration threshold, it is determined that the abnormality level of the exhaust gas processor of the target vehicle is a first-level abnormality;

[0020] If the temperature value inside the exhaust gas processor is greater than or equal to the second temperature threshold, or the mixed gas concentration at the output end of the exhaust gas processor is greater than or equal to the mixed gas concentration threshold, the abnormality level of the exhaust gas processor of the target vehicle is determined to be a secondary abnormality.

[0021] In a possible implementation, the method further includes:

[0022] Obtaining temperature values ​​inside exhaust gas processors of multiple normal vehicles and temperature values ​​inside exhaust gas processors of multiple abnormal vehicles;

[0023] Determining a first temperature value according to temperature values ​​inside the exhaust gas processors of a plurality of normal vehicles, and determining a second temperature value according to temperature values ​​inside the exhaust gas processors of a plurality of abnormal vehicles;

[0024] A second temperature threshold is determined according to the first temperature value and the second temperature value.

[0025] In a possible implementation, the method further includes:

[0026] Acquire the mixed gas concentrations at the output ends of the exhaust gas processors of multiple normal vehicles and the mixed gas concentrations at the output ends of the exhaust gas processors of multiple abnormal vehicles;

[0027] Determining a first mixed gas concentration according to the mixed gas concentrations at the output ends of the exhaust gas processors of a plurality of normal vehicles, and determining a second mixed gas concentration according to the mixed gas concentrations at the output ends of the exhaust gas processors of a plurality of abnormal vehicles;

[0028] A mixed gas concentration threshold is determined according to the first mixed gas concentration and the second mixed gas concentration.

[0029] In a possible implementation, after determining that the exhaust gas processor of the target vehicle is abnormal, the method further includes:

[0030] Generate abnormal prompt information based on the vehicle data of the target vehicle, the abnormal prompt information includes basic information of the target vehicle, measurement data of the engine, measurement data of the exhaust gas processor, abnormal level and time information of the exhaust gas processor;

[0031] Push abnormal prompt information.

[0032] In a second aspect, an embodiment of the present application provides a vehicle abnormality detection device, comprising:

[0033] An acquisition module is used to acquire vehicle data of a target vehicle; the vehicle data includes measurement data of an engine and measurement data of an exhaust gas processor;

[0034] A processing module, used to determine whether the measured data of the engine is normal;

[0035] The processing module is also used to determine whether the exhaust gas processor of the target vehicle is abnormal based on the measurement data of the exhaust gas processor and a preset threshold set if it is determined that the measurement data of the engine is normal.

[0036] In a possible implementation, the engine measurement data includes: an engine speed value, an engine coolant temperature value;

[0037] To determine whether the measured data of the engine is normal, the processing module is used to:

[0038] If the first preset condition is met, it is determined that the measured data of the engine is normal; the first preset condition includes that the engine speed value is within a preset speed range, and the engine coolant temperature value is less than or equal to a first temperature threshold.

[0039] In a possible implementation, the measurement data of the exhaust gas processor includes a temperature value inside the exhaust gas processor and a mixed gas concentration at an output end of the exhaust gas processor;

[0040] Correspondingly, the preset threshold value set includes a second temperature threshold value and a mixed gas concentration threshold value;

[0041] According to the measurement data of the exhaust gas processor and the preset threshold set, it is determined whether the exhaust gas processor of the target vehicle is abnormal. The processing module is used to:

[0042] If the second preset condition is met, it is determined that the exhaust gas processor of the target vehicle is abnormal; the second preset condition includes at least one of the following:

[0043] The temperature value inside the exhaust gas processor is greater than or equal to the second temperature threshold;

[0044] The mixed gas concentration at the output end of the exhaust gas processor is greater than or equal to the mixed gas concentration threshold.

[0045] In a possible implementation, the processing module is further used to: determine an abnormality level of the exhaust gas processor of the target vehicle; the abnormality level includes a primary abnormality and a secondary abnormality;

[0046] If the temperature value inside the exhaust gas processor is greater than or equal to the second temperature threshold, and the mixed gas concentration at the output end of the exhaust gas processor is greater than or equal to the mixed gas concentration threshold, it is determined that the abnormality level of the exhaust gas processor of the target vehicle is a first-level abnormality;

[0047] If the temperature value inside the exhaust gas processor is greater than or equal to the second temperature threshold, or the mixed gas concentration at the output end of the exhaust gas processor is greater than or equal to the mixed gas concentration threshold, the abnormality level of the exhaust gas processor of the target vehicle is determined to be a secondary abnormality.

[0048] In a possible implementation, the acquisition module is further used to acquire temperature values ​​inside exhaust gas processors of a plurality of normal vehicles and temperature values ​​inside exhaust gas processors of a plurality of abnormal vehicles;

[0049] The processing module is further used to determine a first temperature value according to temperature values ​​inside the exhaust gas processors of a plurality of normal vehicles, and to determine a second temperature value according to temperature values ​​inside the exhaust gas processors of a plurality of abnormal vehicles;

[0050] The processing module is further used to determine a second temperature threshold according to the first temperature value and the second temperature value.

[0051] In a possible implementation, the acquisition module is further used to acquire the mixed gas concentration at the output end of the exhaust gas processor of multiple normal vehicles and the mixed gas concentration at the output end of the exhaust gas processor of multiple abnormal vehicles;

[0052] The processing module is further used to determine a first mixed gas concentration according to the mixed gas concentrations at the output ends of the exhaust gas processors of a plurality of normal vehicles, and to determine a second mixed gas concentration according to the mixed gas concentrations at the output ends of the exhaust gas processors of a plurality of abnormal vehicles;

[0053] The processing module is further used to determine a mixed gas concentration threshold according to the first mixed gas concentration and the second mixed gas concentration.

[0054] In a possible implementation, after determining that the exhaust gas processor of the target vehicle is abnormal, the processing module is further used to:

[0055] Generate abnormal prompt information based on the vehicle data of the target vehicle, the abnormal prompt information includes basic information of the target vehicle, measurement data of the engine, measurement data of the exhaust gas processor, abnormal level and time information of the exhaust gas processor;

[0056] Push abnormal prompt information.

[0057] In a third aspect, an embodiment of the present application provides an electronic device, including: a memory, a processor;

[0058] Memory stores computer-executable instructions;

[0059] The processor executes the computer-executable instructions stored in the memory, so that the processor executes the above first aspect and / or various possible implementations of the first aspect.

[0060] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the first aspect above and / or various possible implementations of the first aspect.

[0061] In a fifth aspect, an embodiment of the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the above first aspect and / or various possible implementation methods of the first aspect.

[0062] The vehicle abnormality detection method, device, electronic device and storage medium provided in the embodiments of the present application obtain relevant data of the engine of the target vehicle and relevant data of the exhaust gas processor on a cloud platform; first, it is determined whether the relevant data of the engine is normal. If the relevant data of the engine is normal, it continues to determine whether the exhaust gas processor is normal, accurately determines the cause of the methanol engine failure, and improves the accuracy of vehicle abnormality detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0064] Figure 1 Schematic diagram of application scenarios provided for this application;

[0065] Figure 2 Schematic diagram of the process of vehicle abnormality detection method provided in this application Figure 1 ;

[0066] Figure 3 Schematic diagram of the process of vehicle abnormality detection method provided in this application Figure 2 ;

[0067] Figure 4 A schematic diagram for exemplarily determining a second temperature threshold;

[0068] Figure 5 A schematic diagram for exemplarily determining a mixed gas concentration threshold;

[0069] Figure 6 A schematic diagram of the structure of the vehicle abnormality detection device provided in this application;

[0070] Figure 7 A schematic diagram of the structure of the electronic device provided in this application.

[0071] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0072] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0073] First, the terms involved in this application are explained:

[0074] Methanol car: refers to a new energy vehicle equipped with a methanol engine and using methanol as the main fuel. The methanol car involved in this application includes a methanol car that uses only a methanol engine as a direct kinetic energy source, and may also include an alcohol-hydrogen electric car that uses a methanol engine and an electric motor as a kinetic energy source.

[0075] Exhaust processor: also known as three-way catalytic converter (TWC), a three-way catalytic converter is a device used to reduce harmful substances in automobile exhaust emissions. It converts carbon monoxide (CO), hydrocarbons (HC) and nitrogen oxides (NO x ) into relatively harmless carbon dioxide (CO 2 ), water (H 2 O) and nitrogen (N 2 ).

[0076] Ablation: It refers to the phenomenon that after the methanol fuel burns in the engine, due to some reasons, it is not completely burned in the normal combustion process of the engine, and a small amount of methanol fuel continues to burn during or after the exhaust process, causing the temperature of the exhaust gas processor to exceed the design limit for a long time, thereby causing physical or chemical changes in certain materials inside the exhaust gas processor, resulting in damage to its structure and function.

[0077] Mixture concentration: Mixture refers to the mixture of methanol fuel and air. When the methanol fuel is more relative to the air, the mixture is thicker; when the methanol fuel is less relative to the air, the mixture is thinner.

[0078] A possible application scenario of the present application is the exhaust gas treatment of a methanol engine exhaust gas processor. Figure 1 The application scenario diagram provided for this application is as follows: Figure 1 As shown, the methanol engine 101 is connected to the exhaust gas processor 102. Specifically, the exhaust gas processor is fixedly mounted on the head section of the exhaust manifold by bolts or other fasteners, and the head section of the exhaust manifold is connected to the engine, so that the exhaust gas discharged by the engine is first processed by the exhaust gas processor.

[0079] Furthermore, if Figure 1 As shown, an exhaust temperature sensor 1021 is configured inside the exhaust gas processor 102, and a rear oxygen sensor 1022 is configured at the output end of the exhaust gas processor. The exhaust temperature sensor is used to measure the temperature of the mixed gas discharged from the methanol engine to the inside of the exhaust gas processor, and the rear oxygen sensor is used to measure the temperature of the gas discharged from the exhaust gas processor to the outside. The exhaust temperature sensor is essentially a temperature sensor, which generates a voltage difference proportional to the temperature in the circuit through a temperature sensitive element to determine the temperature measured by the temperature sensor, wherein the temperature sensitive element includes but is not limited to a thermocouple and a thermistor. The rear oxygen sensor is essentially an oxygen concentration sensor, which measures the oxygen concentration by causing an electrochemical cell composed of zirconium oxide or titanium oxide to generate a voltage change based on the change in the oxygen concentration in the measurement environment. Under normal circumstances, when the rear oxygen sensor detects that the oxygen content at the output end of the exhaust gas processor is low, it means that the mixed gas is rich, that is, the methanol fuel is more relative to the air, and the output voltage value of the rear oxygen sensor will be higher; when the rear oxygen sensor detects that the oxygen content at the output end of the exhaust gas processor is high, it means that the mixed gas is lean, that is, the methanol fuel is less relative to the air, and the output voltage value of the rear oxygen sensor will be lower.

[0080] The methanol engine provides kinetic energy for the car by burning methanol fuel, which will produce a large amount of high-temperature exhaust gas. The high-temperature exhaust gas may contain carbon monoxide (CO), hydrocarbons (HC) and nitrogen oxides (NO x) and other harmful gases. When the high-temperature exhaust gas passes through the exhaust gas processor, the purifier in the exhaust gas processor will enhance the carbon monoxide (CO), hydrocarbons (HC) and nitrogen oxides (NO x ) and other harmful gases, prompting them to undergo redox chemical reactions, thereby converting these harmful gases into carbon dioxide (CO 2 ), water (H 2 O) and nitrogen (N 2 ) and other relatively harmless gases.

[0081] When methanol fuel is burned in a methanol engine, a small amount of methanol fuel may not be fully burned in the methanol engine and continue to burn during or after exhaust, resulting in methanol afterburning. Methanol afterburning can cause the temperature of the exhaust gas processor to exceed the design limit for a long time, causing ablation, which can lead to methanol engine failure.

[0082] It is understandable that if there is more methanol fuel in the exhaust gas processor, it is more likely to cause ablation, resulting in abnormal exhaust gas processor, thereby causing failure of the methanol engine.

[0083] Currently, there is no early warning method for exhaust gas processor abnormalities caused by methanol fuel afterburning. Therefore, it is impossible to accurately determine the cause of methanol engine failure, and the detection accuracy of vehicle abnormalities is low.

[0084] Combining the above scenarios, it can be seen that for a methanol engine that has a fault, it is impossible to determine whether the fault is internal to the methanol engine or caused by ablation of the exhaust gas processor.

[0085] The vehicle abnormality detection method provided in the present application obtains the relevant data of the engine of the target vehicle and the relevant data of the exhaust gas processor on the cloud platform; firstly, it determines whether the relevant data of the engine is normal. If the relevant data of the engine is normal, it continues to determine whether the exhaust gas processor is normal, accurately determines the cause of the methanol engine failure, and improves the accuracy of vehicle abnormality detection.

[0086] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0087] Figure 2 Schematic diagram of the process of vehicle abnormality detection method provided in this application Figure 1 ,like Figure 2 As shown, the execution subject of the method is a cloud server, and the method includes:

[0088] Step 201: Acquire vehicle data of a target vehicle, where the vehicle data includes measurement data of an engine and measurement data of an exhaust gas processor.

[0089] As an example, the target vehicle is equipped with a controller and a communication interface, and the controller is connected to each sensor so that the controller can obtain the measurement data of each sensor. The controller is connected to the communication interface so that the measurement data of each sensor obtained by the controller can be uploaded to the cloud server through the communication interface. Among them, the data communication between the target vehicle and the cloud server through the communication interface can be achieved through the Internet of Vehicles technology. The cloud server may include a data platform and a processing platform, and the data platform and the processing platform are connected, and data can be transmitted between the data platform and the processing platform. The data platform is used to store multiple measurement data uploaded by the target vehicle, and the processing platform obtains multiple measurement data stored in the data platform, and performs data analysis and anomaly detection. It should be pointed out that the data platform and the processing platform can also be integrated into one platform for storage, analysis and anomaly detection of multiple measurement data.

[0090] In one example, the vehicle data includes engine measurement data and exhaust gas processor measurement data. The engine measurement data includes: engine speed value, engine coolant temperature value; the exhaust gas processor measurement data includes: exhaust gas processor internal temperature value and exhaust gas processor output end mixed gas concentration.

[0091] Specifically, the engine speed value can be measured by an engine speed sensor (Revolutions Per Minute Sensor, referred to as RPM Sensor) installed on the engine near the crankshaft or camshaft. Types of engine speed sensors include but are not limited to magneto-electric induction sensors and Hall effect sensors. The engine coolant temperature value can be measured by a coolant temperature sensor (CoolantTemperature Sensor, referred to as CTS) installed near the water outlet or air inlet of the engine. The temperature value inside the exhaust gas processor can be measured by an exhaust temperature sensor installed inside the exhaust gas processor; the mixed gas concentration at the output end of the exhaust gas processor can be measured by a post-oxygen sensor installed at the output end of the exhaust gas processor. The specific description of the exhaust temperature sensor and the post-oxygen sensor can be found in the description of the above application scenarios, which will not be expanded here.

[0092] Taking the cloud server including the data platform and the processing platform as an example, the above four vehicle data of the target vehicle can be uploaded to the data platform of the cloud server in real time. The processing platform can capture data changes of the data platform in real time through the change data capture technology (CDC technology for short). The processing platform configures triggers to realize log monitoring of the data platform. Among them, the log refers to the log file of the data platform, which records all change operations of the data platform. The processing platform monitors the log of the data platform. When the log shows that the data has changed, the trigger of the processing platform will be activated and the corresponding data capture operation will be performed. Combined with the actual application example, the collection frequency of the processing platform should be greater than or equal to 360 groups / hour, where each group of data includes 5 frames of data that are continuous in time.

[0093] Step 202: Determine whether the measurement data of the engine is normal.

[0094] As an example, the relationship between the measured data of the engine and the threshold value is compared to determine whether the measured data of the engine is normal. Specifically, if the first preset condition is met, it is determined that the measured data of the engine is normal. Correspondingly, if the first preset condition is not met, it is determined that the measured data of the engine is abnormal.

[0095] In one example, the first preset condition includes that the engine speed value is within a preset speed range, and the engine coolant temperature value is less than or equal to a first temperature threshold.

[0096] It is determined whether the engine speed value is within a preset speed range and whether the engine coolant temperature value is less than or equal to a first temperature threshold. If the engine speed value is within the preset speed range and the engine coolant temperature value is less than or equal to the first temperature threshold, it is determined that the measured data of the engine is normal.

[0097] As an example, the preset speed range is set to 1850RPM to 3750RPM (Revolutions Per Minute). It can be understood that when the engine speed value belongs to the closed interval of 1850RPM to 3750RPM, the engine speed value is determined to be normal. The first temperature threshold is set to 110°C. It can be understood that when the engine coolant temperature value is less than or equal to 110°C, the engine coolant temperature value is determined to be normal. If the engine speed value is normal and the engine coolant temperature value is normal, it is determined that the measured data of the engine is normal.

[0098] In actual applications, the data platform of the cloud server can store engine speed values ​​and engine coolant temperature values ​​with different data lengths and data precisions. For example, the data length of the engine speed is set to 2 bytes, and the data precision is set to 0.125RPM / bit; the data length of the engine coolant temperature value is set to 1 byte, and the data precision is set to 1℃ / bit.

[0099] Step 203: If it is determined that the measurement data of the engine is normal, determine whether the exhaust gas processor of the target vehicle is abnormal based on the measurement data of the exhaust gas processor and a preset threshold set.

[0100] Considering that different working conditions of the engine may cause changes in the measurement data of the exhaust gas processor. If the engine is in an abnormal working condition, the measurement data of the exhaust gas processor may exceed the preset threshold set, but the exhaust gas processor may also be normal at this time. Therefore, in order to specifically determine whether the exhaust gas processor is abnormal, it is necessary to determine whether the measurement data of the exhaust gas processor exceeds the preset threshold set when the engine is in a normal working condition. If it exceeds the preset threshold set, the exhaust gas processor is determined to be abnormal.

[0101] Among them, the measurement data of the exhaust gas processor includes the temperature value inside the exhaust gas processor and the mixed gas concentration at the output end of the exhaust gas processor; the preset threshold value set includes a second temperature threshold value and a mixed gas concentration threshold value.

[0102] As an example, the relationship between the temperature value inside the exhaust gas processor and the second temperature threshold value, and the relationship between the mixed gas concentration at the output end of the exhaust gas processor and the mixed gas concentration threshold value are compared to determine whether the exhaust gas processor is abnormal. Specifically, if the second preset condition is met, it is determined that the exhaust gas processor of the target vehicle is abnormal. Correspondingly, if the second preset condition is not met, it is determined that the exhaust gas processor of the target vehicle is normal.

[0103] In one example, the second preset condition includes at least one of the following: the temperature value inside the exhaust gas processor is greater than or equal to the second temperature threshold; the mixed gas concentration at the output end of the exhaust gas processor is greater than or equal to the mixed gas concentration threshold.

[0104] It is determined whether the temperature value inside the exhaust gas processor is greater than or equal to the second temperature threshold, and whether the mixed gas concentration at the output end of the exhaust gas processor is greater than or equal to the mixed gas concentration threshold. If the temperature value inside the exhaust gas processor is greater than or equal to the second temperature threshold, or the mixed gas concentration at the output end of the exhaust gas processor is greater than or equal to the mixed gas concentration threshold, it is determined that the exhaust gas processor of the target vehicle is abnormal.

[0105] As an example, the second temperature threshold is set to 785°C. It can be understood that when the temperature value inside the exhaust gas processor is greater than or equal to 785°C, the temperature of the exhaust gas processor is determined to be abnormal. The mixed gas concentration at the output end of the exhaust gas processor is reflected by the voltage output value of the rear oxygen sensor installed at the output end of the exhaust gas processor. The voltage output value of the rear oxygen sensor can be used to determine whether the mixed gas concentration exceeds the mixed gas concentration threshold. Accordingly, the mixed gas concentration threshold is set to 0.85V. It can be understood that when the voltage output value of the rear oxygen sensor is greater than or equal to 0.85V, the mixed gas concentration of the exhaust gas processor is determined to be abnormal. If the temperature of the exhaust gas processor is abnormal, or the mixed gas concentration of the exhaust gas processor is abnormal, the exhaust gas processor of the target vehicle is determined to be abnormal.

[0106] In actual applications, the temperature value inside the exhaust gas processor and the mixed gas concentration at the output of the exhaust gas processor stored in the data platform of the cloud server can be set with different data lengths and data precisions. For example, the data length of the temperature value inside the exhaust gas processor is set to 1 byte, and the data precision is set to 0.01V / bit; the data length of the mixed gas concentration at the output of the exhaust gas processor is set to 2 bytes, and the data precision is set to 0.03125℃ / bit.

[0107] The vehicle abnormality detection method provided in the embodiment of the present application obtains the measurement data of the target vehicle on the cloud server, first determines whether the measurement data of the engine is normal, and on the basis that the measurement data of the engine is normal, determines whether the measurement data of the exhaust gas processor is abnormal; if the measurement data of the exhaust gas processor is abnormal, it is determined that the exhaust gas processor of the target vehicle is abnormal. It can determine the cause of the methanol engine failure and improve the accuracy of vehicle abnormality detection. Furthermore, it provides a basis for the subsequent maintenance of the methanol engine and the vehicle, thereby improving the reliability of the methanol engine.

[0108] Based on the above embodiments, it can be known that when judging whether the measurement data of the exhaust gas processor is abnormal, there are two judgment indicators, namely, the temperature value inside the exhaust gas processor and the mixed gas concentration at the output end of the exhaust gas processor. In practical applications, these two judgment indicators may exceed the preset threshold set at the same time, or only one of the judgment indicators may exceed the corresponding threshold. Therefore, the abnormality of the exhaust gas processor can be graded according to the situation that the judgment indicator exceeds the preset threshold set.

[0109] Figure 3 Schematic diagram of the process of vehicle abnormality detection method provided in this application Figure 2 ,like Figure 3 As shown, the execution subject of the method is a cloud server, and the method includes:

[0110] Step 301. Obtain vehicle data of the target vehicle; the vehicle data includes measurement data of the engine and measurement data of the exhaust gas processor.

[0111] Step 302: Determine whether the measurement data of the engine is normal.

[0112] It should be noted that the description of step 301 and step 302 can refer to the description of step 201 and step 202 in the above embodiment, and will not be repeated here.

[0113] If it is determined that the engine measurement data is normal, execute step 303; if it is determined that the engine measurement data is abnormal, indicating that the methanol engine is in an abnormal operating condition at the moment corresponding to the measurement data, the measurement data of the engine is discarded, and the measurement data of the exhaust gas processor corresponding to the measurement data of the engine is discarded, and continue to judge whether the measurement data of the engine at the next moment is normal.

[0114] In combination with the scenario example, if at the first moment, the methanol engine is working under abnormal conditions, the measurement data of the exhaust gas processor may be abnormal due to the methanol engine working under abnormal conditions, but the abnormal measurement data of the exhaust gas processor at this time is not caused by the fault or abnormality of the exhaust gas processor itself, and the abnormality of the exhaust gas processor cannot be accurately determined at this time. Therefore, this solution needs to select the measurement data of the exhaust gas processor when the methanol engine is in normal working conditions for detection.

[0115] Step 303: Determine whether the exhaust gas processor of the target vehicle is abnormal based on the measurement data of the exhaust gas processor and a preset threshold set.

[0116] If it is determined that the exhaust gas processor of the target vehicle is abnormal, execute step 304; if it is determined that the exhaust gas processor of the target vehicle is normal, it indicates that the exhaust gas processor is in a normal state at the time corresponding to the measurement data, and the measurement data is normal data, and continue to determine whether the measurement data of the exhaust gas processor corresponding to the measurement data of the next normal engine is abnormal.

[0117] The cloud server identifies these abnormal data and can provide abnormal prompts in various forms. In one example, the method also includes:

[0118] Step 304: Generate abnormal prompt information based on the vehicle data of the target vehicle.

[0119] The abnormal prompt information includes but is not limited to: basic information of the target vehicle, measurement data of the engine, measurement data of the exhaust gas processor, abnormal level and time information of the exhaust gas processor.

[0120] In some embodiments, when determining that the exhaust gas processor of the target vehicle is abnormal, the method further includes: determining an abnormality level of the exhaust gas processor of the target vehicle, the abnormality level including a primary abnormality and a secondary abnormality.

[0121] Wherein, determining the abnormal level of the exhaust gas processor of the target vehicle may include:

[0122] Step 3041. If the temperature value inside the exhaust gas processor is greater than or equal to the second temperature threshold, and the mixed gas concentration at the output end of the exhaust gas processor is greater than or equal to the mixed gas concentration threshold, determine that the abnormality level of the exhaust gas processor of the target vehicle is a level one abnormality.

[0123] In actual applications, for abnormal phenomena of the exhaust gas processor, the temperature value inside the exhaust gas processor and the mixed gas concentration at the output end of the exhaust gas processor will usually exceed the corresponding preset thresholds respectively. For example, for a type A vehicle, the engine speed value at a certain moment is 3706RPM, and the engine coolant temperature value is 97°C. At this time, for a type A vehicle, the engine speed value at this moment is within the preset speed range, and the engine coolant temperature is less than the first temperature threshold, so the engine measurement data is normal. Furthermore, the temperature value inside the exhaust gas processor of the type A vehicle at this moment is 789.19°C, and the voltage output value of the rear oxygen sensor is 0.9V. At this time, for a type A vehicle, the temperature value inside the exhaust gas processor at this moment is greater than the second temperature threshold, and the mixed gas concentration at the output end of the exhaust gas processor is greater than the mixed gas concentration threshold, so the abnormality level of the exhaust gas processor is a first-level abnormality.

[0124] Step 3042. If the temperature value inside the exhaust gas processor is greater than or equal to the second temperature threshold, or the mixed gas concentration at the output end of the exhaust gas processor is greater than or equal to the mixed gas concentration threshold, determine that the abnormality level of the exhaust gas processor of the target vehicle is a secondary abnormality.

[0125] In actual applications, it is also possible that only one indicator exceeds the preset threshold, such as the temperature value inside the exhaust gas processor is greater than or equal to the second temperature value, but the mixed gas concentration at the output end of the exhaust gas processor is less than the mixed gas concentration threshold; or the temperature value inside the exhaust gas processor is less than the second temperature value, but the mixed gas concentration at the output end of the exhaust gas processor is greater than or equal to the mixed gas concentration threshold. For example, for a type A vehicle, the engine speed value at a certain moment is 3709RPM, and the engine coolant temperature value is 97°C. At this time, for a type A vehicle, the engine speed value at this moment is within the preset speed range, and the engine coolant temperature is less than the first temperature threshold, so the engine measurement data is normal. Further, the temperature value inside the exhaust gas processor of the type A vehicle at this moment is 782.5°C, and the voltage output value of the rear oxygen sensor is 0.91V. At this time, for a type A vehicle, the temperature value inside the exhaust gas processor at this moment is less than the second temperature threshold, but the mixed gas concentration at the output end of the exhaust gas processor is greater than the mixed gas concentration threshold, so the abnormality level of the exhaust gas processor is a secondary abnormality.

[0126] It should be noted that step 3041 and step 3042 may be executed simultaneously or sequentially, and the order of execution is not limited.

[0127] In the above example, the two indicators in the measured data of the exhaust gas processor are used for judgment. If both indicators are abnormal, the exhaust gas processor is judged to be a level 1 abnormality. If only one of the two indicators is abnormal, the exhaust gas processor is judged to be a level 2 abnormality. Based on the ability to identify abnormal data of methanol engines, the abnormality level is divided, the meticulousness of abnormal data identification is improved, and the foundation is laid for subsequent targeted abnormal processing.

[0128] By judging the two indicators in the measurement data of the exhaust gas processor, the abnormal level of the exhaust gas processor can be determined. Based on the abnormal data of the exhaust gas processor and the corresponding abnormal level, the abnormal prompt information can be determined and presented in different ways so that the user or relevant staff can understand the abnormal state of the vehicle in time and take corresponding measures.

[0129] As an example, the abnormal prompt information can be presented in the form of text or in the form of a table. Table 1 is an exemplary abnormal prompt information table.

[0130] Table 1 Example abnormal prompt information table

[0131]

[0132] As shown in Table 1, VIN stands for Vehicle Identification Number (VIN for short), which reflects the basic information of the target vehicle; the speed and coolant temperature reflect the measurement data of the engine; the output value of the exhaust temperature sensor and the output value of the rear oxygen sensor reflect the measurement data of the exhaust gas processor. It should be noted that the above-mentioned frame number is constructed for example, and the various measurement data and time are experimental data of the example. In actual applications, an abnormal prompt information table is formed according to the specific vehicle frame number, various measurement data and time, and the information category in the table can be changed according to actual conditions. For example, the abnormal prompt information table can also include: license plate number, vehicle model, operating area, potential risks, etc.

[0133] Step 305: Push abnormal prompt information.

[0134] The processing platform of the cloud server can directly issue an early warning of abnormal prompt information; it can also push the abnormal prompt information to the data platform and issue an early warning on the data platform; it can also push the abnormal prompt information to the target vehicle.

[0135] In one example, the processing platform can directly issue an early warning of abnormal prompt information. In response to the early warning of abnormal prompt information, the staff of the processing platform provides active detection services to the user of the target vehicle, troubleshoots the fault in a timely manner, improves the efficiency of troubleshooting, and thus improves the reliability of methanol engines and methanol vehicles.

[0136] In one example, the processing platform can push abnormal prompt information to the data platform, and issue an early warning on the data platform. The data platform integrates abnormal prompt information within a preset time period, and technicians improve the methanol engine in a targeted manner based on the integrated abnormal prompt information, thereby improving the reliability of the methanol engine.

[0137] In one example, abnormal prompt information can be pushed to the target vehicle. The target vehicle is equipped with a processor, a communication interface and a display device. The processor is connected to the communication interface, and the display device is connected to the processor. The communication interface is used to download abnormal prompt information from the processing platform and prompt the user through the display device. Prompting the user before a fault occurs, prompting the user to stop for inspection or ask for help from the staff, indirectly improves the safety of methanol vehicles.

[0138] Optionally, the abnormal prompt information can also be pushed via email, instant messaging software, etc. This application does not limit the push method of the abnormal prompt information.

[0139] The vehicle abnormality detection method provided in the embodiment of the present application determines whether the failure of the methanol engine is caused by the abnormality of the exhaust gas processor through abnormal data, and improves the detail of abnormal data identification by classifying the abnormal data; abnormal prompt information is formed based on different levels and pushed, and different response measures are executed, so as to further improve the reliability of the methanol engine and the reliability of the methanol vehicle, and indirectly improve the safety of the methanol vehicle.

[0140] Based on the above embodiments, it can be known that the abnormality of the exhaust gas processor is determined based on a preset threshold set, which includes a second temperature threshold and a mixed gas concentration threshold. Next, how to determine the second temperature threshold and the mixed gas concentration threshold is explained.

[0141] Multiple parameters of multiple vehicles are stored on the data platform of the cloud server, where the multiple vehicles include normal vehicles and vehicles with known exhaust gas processor malfunctions. In the following text, vehicles with known exhaust gas processor malfunctions are referred to as abnormal vehicles; the multiple parameters include but are not limited to vehicle speed, atmospheric pressure, positioning status, longitude, latitude, accumulated mileage, engine net output torque, friction torque, engine speed, engine fuel flow, engine coolant temperature, mixed gas concentration at the input end of the exhaust gas processor, mixed gas concentration at the output end of the exhaust gas processor, temperature inside the exhaust gas processor, etc.

[0142] Obtain multiple parameters of a normal vehicle over a period of time, and multiple parameters of an abnormal vehicle over a period of time, and compare them respectively. By comparing multiple parameters of a normal vehicle and an abnormal vehicle, it can be determined that the temperature inside the exhaust gas processor of the abnormal vehicle is in a different numerical range from that of a normal vehicle, and that the mixed gas concentration at the output end of the exhaust gas processor of the abnormal vehicle is in a different numerical range from that of a normal vehicle. Thus, the two parameters of the temperature inside the exhaust gas processor and the mixed gas concentration at the output end of the exhaust gas processor are selected for subsequent threshold determination.

[0143] A second temperature threshold for judging whether the temperature inside the exhaust gas processor is abnormal and a mixed gas concentration threshold for judging whether the mixed gas concentration at the output end of the exhaust gas processor is abnormal are determined respectively.

[0144] In some embodiments, the second temperature threshold for determining whether the temperature inside the exhaust gas processor is abnormal may be determined by the following steps:

[0145] Step 401: Obtain temperature values ​​inside exhaust gas processors of multiple normal vehicles and temperature values ​​inside exhaust gas processors of multiple abnormal vehicles.

[0146] Step 402: Determine a first temperature value based on the temperature values ​​inside the exhaust gas processors of a plurality of normal vehicles, and determine a second temperature value based on the temperature values ​​inside the exhaust gas processors of a plurality of abnormal vehicles.

[0147] Step 403: Determine a second temperature threshold according to the first temperature value and the second temperature value.

[0148] The processing platform obtains temperature values ​​inside the exhaust gas processors of multiple normal vehicles and temperature values ​​inside the exhaust gas processors of multiple abnormal vehicles in the data platform.

[0149] The average or maximum value of the temperature values ​​inside the exhaust gas processors of multiple normal vehicles may be selected as the first temperature value, and the average or minimum value of the temperature values ​​inside the exhaust gas processors of multiple abnormal vehicles may be selected as the second temperature value.

[0150] In one example, an average value of temperature values ​​inside exhaust gas processors of a plurality of normal vehicles is selected as the first temperature value, and an average value of temperature values ​​inside exhaust gas processors of a plurality of abnormal vehicles is selected as the second temperature value. Figure 4 FIG. 4 is a schematic diagram for exemplarily determining the second temperature threshold. Figure 4As shown, the second temperature threshold is determined based on the first temperature value and the second temperature value, so that the maximum value of the temperature values ​​inside the exhaust gas processor of a plurality of normal vehicles is less than the second temperature threshold, and the minimum value of the temperature values ​​inside the exhaust gas processor of a plurality of abnormal vehicles is greater than or equal to the second temperature threshold. Specifically, the preset tolerance value can be added to the first temperature value to obtain the second temperature threshold.

[0151] In one example, the maximum value of the temperature inside the exhaust gas processor of multiple normal vehicles is selected as the first temperature value, and the minimum value of the temperature inside the exhaust gas processor of multiple abnormal vehicles is selected as the second temperature value. A preset tolerance value is added to the first temperature value to obtain a second temperature threshold value, so that the second temperature value is greater than or equal to the second temperature threshold value.

[0152] Optionally, if the first temperature value determined in the above example is greater than or equal to the second temperature value, the minimum value of the temperature values ​​inside the exhaust gas processors of multiple abnormal vehicles can be directly selected as the second temperature threshold.

[0153] In some embodiments, the mixed gas concentration threshold for determining whether the mixed gas concentration at the output end of the exhaust gas processor is abnormal may be determined by the following steps:

[0154] Step 501: Obtain the mixed gas concentrations at the output ends of the exhaust gas processors of multiple normal vehicles and the mixed gas concentrations at the output ends of the exhaust gas processors of multiple abnormal vehicles.

[0155] Step 502: Determine a first mixed gas concentration according to the mixed gas concentrations at the output ends of the exhaust gas processors of a plurality of normal vehicles, and determine a second mixed gas concentration according to the mixed gas concentrations at the output ends of the exhaust gas processors of a plurality of abnormal vehicles.

[0156] Step 503: Determine a mixed gas concentration threshold value according to the first mixed gas concentration and the second mixed gas concentration.

[0157] The processing platform obtains the mixed gas concentrations at the output ends of the exhaust gas processors of multiple normal vehicles in the data platform, and the mixed gas concentrations at the output ends of the exhaust gas processors of multiple abnormal vehicles.

[0158] The average or maximum value of the mixed gas concentration at the output end of the exhaust gas processor of multiple normal vehicles can be selected as the first mixed gas concentration, and the average or minimum value of the mixed gas concentration at the output end of the exhaust gas processor of multiple abnormal vehicles can be selected as the second mixed gas concentration.

[0159] In one example, an average value of mixed gas concentrations at output ends of exhaust gas processors of multiple normal vehicles is selected as the first mixed gas concentration, and an average value of mixed gas concentrations at output ends of exhaust gas processors of multiple abnormal vehicles is selected as the second mixed gas concentration. Figure 5FIG. 1 is a schematic diagram for exemplarily determining a mixed gas concentration threshold. Figure 5 As shown, the mixed gas concentration threshold is determined based on the first mixed gas concentration and the second mixed gas concentration, so that the maximum value of the mixed gas concentrations at the output end of the exhaust gas processor of multiple normal vehicles is less than the mixed gas concentration threshold, and the minimum value of the mixed gas concentrations at the output end of the exhaust gas processor of multiple abnormal vehicles is greater than or equal to the mixed gas concentration threshold. Specifically, a preset tolerance value can be added to the first mixed gas concentration to obtain the mixed gas concentration threshold.

[0160] In one example, the maximum value of the mixed gas concentration at the output end of the exhaust gas processor of multiple normal vehicles is selected as the first mixed gas concentration, and the minimum value of the mixed gas concentration at the output end of the exhaust gas processor of multiple abnormal vehicles is selected as the second mixed gas concentration. A preset tolerance value is added to the first mixed gas concentration to obtain a mixed gas concentration threshold value, so that the second mixed gas concentration is greater than or equal to the mixed gas concentration threshold value.

[0161] Optionally, if the first mixed gas concentration determined in the above example is greater than or equal to the second mixed gas concentration, the minimum value of the mixed gas concentrations at the output ends of the exhaust gas processors of multiple abnormal vehicles may be directly selected as the mixed gas concentration threshold.

[0162] It should be noted that the above examples of determining the second temperature threshold and determining the mixed gas concentration threshold may be executed simultaneously or sequentially, and the execution order thereof is not limited.

[0163] In the vehicle abnormality detection method provided in the embodiment of the present application, the processing platform of the cloud server obtains the normal vehicle and abnormal vehicle data stored in the data platform, and determines the temperature value inside the exhaust gas processor and the mixed gas concentration at the output end of the exhaust gas processor as parameters closely related to the exhaust gas processor failure from multiple parameters. In addition, the second temperature threshold and the mixed gas concentration threshold are determined respectively according to the above two parameters of the normal vehicle and the abnormal vehicle, laying the foundation for the abnormal judgment of the target vehicle.

[0164] The present application also provides a vehicle abnormality detection device, Figure 6 A schematic diagram of the structure of the vehicle abnormality detection device provided in this application, such as Figure 6 As shown, the vehicle abnormality detection device 60 provided in this embodiment includes:

[0165] The acquisition module 601 is used to acquire vehicle data of the target vehicle; the vehicle data includes measurement data of the engine and measurement data of the exhaust gas processor.

[0166] The processing module 602 is used to determine whether the measurement data of the engine is normal.

[0167] The processing module 602 is further used to determine whether the exhaust gas processor of the target vehicle is abnormal based on the measurement data of the exhaust gas processor and a preset threshold set if it is determined that the measurement data of the engine is normal.

[0168] In a possible implementation manner, the measurement data of the engine includes: an engine speed value and an engine coolant temperature value.

[0169] To determine whether the measured data of the engine is normal, the processing module 602 is used to:

[0170] If the first preset condition is met, it is determined that the measured data of the engine is normal; the first preset condition includes that the engine speed value is within a preset speed range, and the engine coolant temperature value is less than or equal to a first temperature threshold.

[0171] In a possible implementation, the measurement data of the exhaust gas processor includes a temperature value inside the exhaust gas processor and a mixed gas concentration at an output end of the exhaust gas processor.

[0172] Correspondingly, the preset threshold value set includes a second temperature threshold value and a mixed gas concentration threshold value.

[0173] Based on the measurement data of the exhaust gas processor and a preset threshold set, it is determined whether the exhaust gas processor of the target vehicle is abnormal. The processing module 602 is used to: if the second preset condition is met, determine that the exhaust gas processor of the target vehicle is abnormal.

[0174] The second precondition includes at least one of the following:

[0175] The temperature value inside the exhaust gas processor is greater than or equal to the second temperature threshold;

[0176] The mixed gas concentration at the output end of the exhaust gas processor is greater than or equal to the mixed gas concentration threshold.

[0177] In a possible implementation, the processing module 602 is further configured to:

[0178] Determine the abnormality level of the exhaust gas processor of the target vehicle. The abnormality level includes primary abnormality and secondary abnormality.

[0179] If the temperature value inside the exhaust gas processor is greater than or equal to the second temperature threshold, and the mixed gas concentration at the output end of the exhaust gas processor is greater than or equal to the mixed gas concentration threshold, it is determined that the abnormality level of the exhaust gas processor of the target vehicle is a level one abnormality.

[0180] If the temperature value inside the exhaust gas processor is greater than or equal to the second temperature threshold, or the mixed gas concentration at the output end of the exhaust gas processor is greater than or equal to the mixed gas concentration threshold, the abnormality level of the exhaust gas processor of the target vehicle is determined to be a secondary abnormality.

[0181] In a possible implementation, the acquisition module 601 is further used to acquire temperature values ​​inside exhaust gas processors of multiple normal vehicles and temperature values ​​inside exhaust gas processors of multiple abnormal vehicles.

[0182] The processing module 602 is further used to determine a first temperature value according to the temperature values ​​inside the exhaust gas processors of a plurality of normal vehicles, and to determine a second temperature value according to the temperature values ​​inside the exhaust gas processors of a plurality of abnormal vehicles.

[0183] The processing module 602 is further configured to determine a second temperature threshold according to the first temperature value and the second temperature value.

[0184] In a possible implementation manner, the acquisition module 601 is further used to acquire the mixed gas concentration at the output end of the exhaust gas processor of multiple normal vehicles and the mixed gas concentration at the output end of the exhaust gas processor of multiple abnormal vehicles.

[0185] The processing module 602 is further used to determine a first mixed gas concentration according to the mixed gas concentrations at the output ends of the exhaust gas processors of multiple normal vehicles, and to determine a second mixed gas concentration according to the mixed gas concentrations at the output ends of the exhaust gas processors of multiple abnormal vehicles.

[0186] The processing module 602 is further configured to determine a mixed gas concentration threshold according to the first mixed gas concentration and the second mixed gas concentration.

[0187] In a possible implementation, after determining that the exhaust gas processor of the target vehicle is abnormal, the processing module 602 is further configured to:

[0188] Abnormal prompt information is generated based on the vehicle data of the target vehicle, and the abnormal prompt information includes basic information of the target vehicle, measurement data of the engine, measurement data of the exhaust gas processor, abnormal level of the exhaust gas processor and time information.

[0189] Push abnormal prompt information.

[0190] The vehicle abnormality detection device provided in this embodiment can execute the method provided in the above method embodiment. Its implementation principle and technical effect are similar, and this embodiment will not be described in detail here.

[0191] The present application also provides an electronic device, Figure 7 This is a schematic diagram of the structure of the electronic device provided in this application. Figure 7 As shown, the electronic device 70 provided in this embodiment includes: at least one processor 701 and a memory 702. Optionally, the electronic device 70 further includes a communication component 703. The processor 701, the memory 702 and the communication component 703 are connected via a bus 704.

[0192] In a specific implementation process, at least one processor 701 executes the computer-executable instructions stored in the memory 702, so that at least one processor 701 executes the above method.

[0193] The specific implementation process of the processor 701 can be found in the above method embodiment, and its implementation principle and technical effect are similar, so this embodiment will not be repeated here.

[0194] In the above embodiments, it should be understood that the processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. A general-purpose processor may be a microprocessor or any conventional processor. The steps of the method disclosed in the application may be directly implemented as being executed by a hardware processor, or may be executed by a combination of hardware and software modules in the processor.

[0195] The memory may include a high-speed memory (Random Access Memory, RAM), and may also include a non-volatile memory (Non-volatile Memory, NVM), such as at least one disk memory.

[0196] The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, the bus in the drawings of the present application is not limited to only one bus or one type of bus.

[0197] The present application also provides a computer program product, including a computer program, which implements the above method when executed by a processor.

[0198] The present application also provides a computer-readable storage medium, in which computer-executable instructions are stored. When a processor executes the computer-executable instructions, the above method is implemented.

[0199] The above-mentioned readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. The readable storage medium can be any available medium that can be accessed by a general or special-purpose computer.

[0200] An exemplary readable storage medium is coupled to a processor so that the processor can read information from the readable storage medium and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can be located in an application specific integrated circuit (Application Specific Integrated Circuits, referred to as: ASIC). Of course, the processor and the readable storage medium can also exist in the device as discrete components.

[0201] The division of units is only a logical function division, and there may be other divisions in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interface, device or unit, which can be electrical, mechanical or other forms.

[0202] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0203] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0204] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, and other media that can store program codes.

[0205] Those skilled in the art can understand that all or part of the steps of implementing the above-mentioned method embodiments can be completed by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, the steps of the above-mentioned method embodiments are executed; and the aforementioned storage medium includes: ROM, RAM, disk or optical disk and other media that can store program codes.

[0206] Finally, it should be noted that those skilled in the art will readily conceive of other embodiments of the present application after considering the specification and practicing the application disclosed herein. The present application is intended to cover any variations, uses or adaptations of the present application, which follow the general principles of the present application and include common knowledge or customary technical means in the art that are not disclosed in the present application, are not limited to the precise structures described above and shown in the drawings, and may be modified and changed in various ways without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A vehicle abnormality detection method, characterized in that: include: Acquire vehicle data of the target vehicle; the vehicle data includes measurement data of the engine and measurement data of the exhaust gas processor; Determining whether the measurement data of the engine is normal; If it is determined that the measurement data of the engine is normal, it is determined whether the exhaust gas processor of the target vehicle is abnormal based on the measurement data of the exhaust gas processor and a preset threshold set.

2. The method according to claim 1, characterized in that The engine measurement data includes: engine speed value, engine coolant temperature value; Determining whether the measured data of the engine is normal includes: If a first preset condition is met, it is determined that the measurement data of the engine is normal; the first preset condition includes that the engine speed value is within a preset speed range, and the engine coolant temperature value is less than or equal to a first temperature threshold.

3. The method according to claim 2, characterized in that The measurement data of the exhaust gas processor includes the temperature value inside the exhaust gas processor and the mixed gas concentration at the output end of the exhaust gas processor; Correspondingly, the preset threshold value set includes a second temperature threshold value and a mixed gas concentration threshold value; The step of determining whether the exhaust gas processor of the target vehicle is abnormal based on the measurement data of the exhaust gas processor and a preset threshold set includes: If the second preset condition is met, determining that the exhaust gas processor of the target vehicle is abnormal; The second preset condition includes at least one of the following: The temperature value inside the exhaust gas processor is greater than or equal to the second temperature threshold; The mixed gas concentration at the output end of the exhaust gas processor is greater than or equal to the mixed gas concentration threshold.

4. The method according to any one of claims 1 to 3, characterized in that: The method further includes: determining an abnormality level of the exhaust gas processor of the target vehicle; the abnormality level includes a primary abnormality and a secondary abnormality; If the temperature value inside the exhaust gas processor is greater than or equal to the second temperature threshold, and the mixed gas concentration at the output end of the exhaust gas processor is greater than or equal to the mixed gas concentration threshold, determine that the abnormality level of the exhaust gas processor of the target vehicle is a primary abnormality; If the temperature value inside the exhaust gas processor is greater than or equal to the second temperature threshold, or the mixed gas concentration at the output end of the exhaust gas processor is greater than or equal to the mixed gas concentration threshold, it is determined that the abnormality level of the exhaust gas processor of the target vehicle is a secondary abnormality.

5. The method according to any one of claims 1 to 4, characterized in that: The method further comprises: Obtaining temperature values ​​inside exhaust gas processors of multiple normal vehicles and temperature values ​​inside exhaust gas processors of multiple abnormal vehicles; Determining a first temperature value according to the temperature values ​​inside the exhaust gas processors of the plurality of normal vehicles, and determining a second temperature value according to the temperature values ​​inside the exhaust gas processors of the plurality of abnormal vehicles; A second temperature threshold is determined according to the first temperature value and the second temperature value.

6. The method according to claim 5, characterized in that The method further comprises: Acquire the mixed gas concentrations at the output ends of the exhaust gas processors of multiple normal vehicles and the mixed gas concentrations at the output ends of the exhaust gas processors of multiple abnormal vehicles; Determining a first mixed gas concentration according to the mixed gas concentrations at the output ends of the exhaust gas processors of the plurality of normal vehicles, and determining a second mixed gas concentration according to the mixed gas concentrations at the output ends of the exhaust gas processors of the plurality of abnormal vehicles; A mixed gas concentration threshold is determined according to the first mixed gas concentration and the second mixed gas concentration.

7. The method according to any one of claims 1 to 6, characterized in that: After determining that the exhaust gas processor of the target vehicle is abnormal, the method further includes: Generate abnormal prompt information based on the vehicle data of the target vehicle, the abnormal prompt information including basic information of the target vehicle, measurement data of the engine, measurement data of the exhaust gas processor, abnormal level and time information of the exhaust gas processor; Push the abnormal prompt information.

8. A vehicle abnormality detection device, characterized in that: include: An acquisition module, used to acquire vehicle data of a target vehicle; the vehicle data includes measurement data of an engine and measurement data of an exhaust gas processor; A processing module, used to determine whether the measurement data of the engine is normal; The processing module is further used to determine whether the exhaust gas processor of the target vehicle is abnormal based on the measurement data of the exhaust gas processor and a preset threshold set if it is determined that the measurement data of the engine is normal.

9. An electronic device, characterized in that: include: Memory, processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory, so that the processor performs the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 7 when executed by a processor.

11. A computer program product, characterized in that The invention comprises a computer program, which implements the method according to any one of claims 1 to 7 when being executed by a processor.

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