Automobile fault diagnosis method based on data analysis

Abstract

The invention relates to the field of automobile fault diagnosis, and discloses an automobile fault diagnosis method based on data analysis, which comprises the following steps: S1, connecting a vehicle-mounted diagnostic instrument to a diagnosis port of an automobile; s2, matching with the type of the automobile through a vehicle-mounted diagnostic instrument; s3, starting the vehicle, and driving the vehicle according to a preset detection rule; s4, acquiring real-time vehicle driving data through a vehicle monitoring module; acquiring real-time environment data through an automobile environment acquisition module; s5, analyzing the real-time environment data and the real-time vehicle driving data through an analysis control module on the vehicle-mounted diagnostic instrument, rating an engine fault according to an analysis result, and finally sending a corresponding fault code according to the grade of the engine fault; the engine state is evaluated in combination with environmental data, so that the accuracy of an engine fault analysis result is improved, and meanwhile, a worker not only can detect whether the engine has a fault, but also can intuitively know the severity of the fault.

Description

Technical Field

[0001] The invention relates to the field of automobile fault diagnosis, and in particular to an automobile fault diagnosis method based on data analysis. Background Art

[0002] As the number of cars in my country continues to increase, the demand for car maintenance and fault diagnosis services is also increasing. And with the rapid development of new energy vehicles and smart cars in my country, the complexity of automobile electronic control systems is gradually increasing, and the technical difficulty of car maintenance and fault diagnosis is also increasing accordingly.

[0003] The on-board diagnostic instrument is a device that can be used to detect automobile faults. It is started by connecting the on-board diagnostic instrument to the vehicle's diagnostic interface. The on-board diagnostic instrument first matches the car model, and after matching, the electronic control system that needs to be tested is manually selected. The on-board diagnostic instrument obtains the car's test data according to the test procedure and analyzes the fault condition of the electronic control system based on the test data.

[0004] However, cars are sold in a wide range of areas, and the environment in each area is different. Car engines will perform differently in different environments. Therefore, if the impact of the environment is not taken into account when testing the engine system, the analysis results of the engine system will be inaccurate. Summary of the invention

[0005] The purpose of the present invention is to provide a method for automobile fault diagnosis based on data analysis to solve the following technical problems:

[0006] How to avoid inaccurate engine system analysis results due to environmental factors.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A method for diagnosing automobile faults based on data analysis, the method comprising the following steps:

[0009] S1: Connect the on-board diagnostics instrument to the car’s diagnostic port;

[0010] S2: Match the vehicle model through the on-board diagnostic instrument;

[0011] S3: Start the vehicle and drive the vehicle according to the preset detection rules;

[0012] S4: Acquire real-time vehicle driving data through the vehicle monitoring module; acquire real-time environmental data through the vehicle environment acquisition module;

[0013] S5: The real-time environmental data and real-time vehicle driving data are analyzed by the analysis control module on the on-board diagnostic instrument, and the engine fault is rated according to the analysis result. Finally, the corresponding fault code is sent according to the level of the engine fault.

[0014] As a further solution of the present invention: the preset detection rules include preset starting actions, preset parking actions, preset driving time and preset starting times; the real-time environmental data include altitude and ambient temperature; the real-time vehicle driving data includes vehicle speed and accelerator pedal pressure value.

[0015] As a further solution of the present invention: the analysis process of the analysis control module is:

[0016] S10: Obtaining, through the automobile environment acquisition module, an environmental change curve of the ambient temperature over time and a curve of the altitude change over time within a preset driving time;

[0017] S20: Obtaining an environmental impact index by analyzing an environmental change curve of the ambient temperature over time and an altitude change curve over time during a preset driving time;

[0018] S30: Obtaining, through the vehicle monitoring module, a speed variation curve of the vehicle speed over time and a pressure value variation curve of the accelerator pedal pressure over time;

[0019] S40: Obtaining an engine reaction state index and an engine power state index by analyzing a speed change curve of a vehicle speed over time, a pressure value change curve over time, and an environmental impact index within a preset driving time;

[0020] S50: Analyze the engine reaction state index to determine the engine reaction fault level; and send a corresponding reaction fault code according to the engine reaction fault level;

[0021] S60: Analyze according to the engine power state index to obtain the engine power fault level; and send a corresponding power fault code according to the engine power fault level;

[0022] S70: End the detection.

[0023] As a further solution of the present invention: in step S20, the environmental impact index is calculated by the formula:

[0024]

[0025] Calculate the environmental impact index δ;

[0026] Among them, H(t) is the curve of altitude changing with time; T(t) is the curve of ambient temperature changing with time; Δt is the preset driving time; H0 is the preset altitude; T0 is the preset ambient temperature; γ1 is the first weight coefficient; γ2 is the second weight coefficient; C1 is the first preset constant; C2 is the second preset constant.

[0027] As a further solution of the present invention: In step S40, the engine reaction state index is:

[0028]

[0029] Calculate the engine reaction state index r;

[0030] Among them, f(X) is a judgment function. When X>0, f(X)=X; when X≤0, f(X)=0; N is the preset starting number, n∈N; t sr is the preset reaction duration when the vehicle of this model starts at the preset altitude H0 and the preset ambient temperature T0; t vn is the time when the vehicle starts to move at the nth start; t dn is the time when the pedal starts to be pressured at the nth start of the vehicle; ε1 is the first proportional coefficient, and ε1>0.

[0031] As a further solution of the present invention: In step S40, the engine power state index is:

[0032]

[0033] Calculate the engine reaction state index E;

[0034] Among them, v0 is the preset vehicle speed; a sd is the preset acceleration when the vehicle of this model starts at the preset altitude H0 and the preset ambient temperature T0 according to the preset starting action from the start of movement to the vehicle speed reaching the preset vehicle speed v0; t sn is the time when the vehicle speed reaches the preset vehicle speed v0 at the nth start of the vehicle; is the second proportional coefficient, and ε2>0.

[0035] As a further solution of the present invention: In step S50, the judgment process of the engine reaction fault level is:

[0036] Compare the engine reaction state index R with the reaction preset threshold [X1, X2];

[0037] When 1<R<X1, the engine reaction fault level is first level;

[0038] When X1≤R<X2, the engine reaction fault level is second level;

[0039] When X2 ≤ R, the engine reaction fault level is level three.

[0040] As a further solution of the present invention: In step S60, the judgment process of the engine power fault level is as follows:

[0041] Compare the engine reaction state index E with the power preset threshold [X3, X4];

[0042] When 1 < E < X3, the engine power fault level is level one;

[0043] When X3 ≤ E < X4, the engine power fault level is level two;

[0044] When X4 ≤ E, the engine power fault level is level three.

[0045] Advantages of the present invention:

[0046] (1) In the present invention, first connect the on-vehicle diagnostic instrument to the diagnostic port of the vehicle; then match the on-vehicle diagnostic instrument with the vehicle model; then start the vehicle and drive the vehicle according to the preset detection rules; then obtain the real-time vehicle driving data through the vehicle monitoring module; obtain the real-time environmental data through the vehicle environment collection module; finally, analyze the real-time environmental data and the real-time vehicle driving data through the analysis and control module on the on-vehicle diagnostic instrument, rate the engine fault according to the analysis result, and finally send the corresponding fault code according to the level of the engine fault; evaluate the engine state in combination with the environmental data, so as to improve the accuracy of the engine fault analysis result. At the same time, the staff can not only detect whether there is a fault in the engine, but also intuitively understand the severity of the fault. Description of the Drawings

[0047] The present invention will be further described below with reference to the drawings.

[0048] Figure 1 It is a flowchart of the method for an embodiment of the present invention. Detailed Embodiments

[0049] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without making creative efforts belong to the scope of protection of the present invention.

[0050] Please refer to Figure 1 As shown, in one embodiment, a vehicle fault diagnosis method based on data analysis is provided, including the following steps:

[0051] S1: Connect the on-board diagnostics instrument to the car’s diagnostic port;

[0052] S2: Match the vehicle model through the on-board diagnostic instrument;

[0053] S3: Start the vehicle and drive the vehicle according to the preset detection rules;

[0054] S4: Acquire real-time vehicle driving data through the vehicle monitoring module; acquire real-time environmental data through the vehicle environment acquisition module;

[0055] S5: Analyze the real-time environmental data and real-time vehicle driving data through the analysis control module on the on-board diagnostic instrument, and rate the engine fault according to the analysis result, and finally send the corresponding fault code according to the level of the engine fault;

[0056] Through the above technical solution, this embodiment first connects the on-board diagnostic instrument to the diagnostic port of the car; then matches the on-board diagnostic instrument with the car model; then starts the vehicle and drives the vehicle according to the preset detection rules; then obtains real-time vehicle driving data through the car monitoring module; obtains real-time environmental data through the car environment acquisition module; finally, the real-time environmental data and real-time vehicle driving data are analyzed through the analysis control module on the on-board diagnostic instrument, and the engine fault is rated according to the analysis results, and finally the corresponding fault code is sent according to the level of the engine fault; the engine status is evaluated in combination with the environmental data, so as to improve the accuracy of the engine fault analysis results.

[0057] As an implementation mode of the present invention, the preset detection rule includes a preset starting action, a preset parking action, a preset driving time and a preset starting number; the real-time environmental data includes altitude and ambient temperature; the real-time vehicle driving data includes vehicle speed and pressure value of the accelerator pedal;

[0058] Through the above technical solution, the preset detection rule of this embodiment is that the staff uses the preset starting action and the preset parking action to drive for a preset driving time and completes the starting of the preset number of times during the driving process;

[0059] It should be noted that the method for obtaining the pressure value of the accelerator pedal, the vehicle speed, the altitude and the ambient temperature is a prior art and will not be described in detail here.

[0060] As an implementation manner of the present invention, the analysis process of the analysis control module is:

[0061] S10: Obtaining, through the automobile environment acquisition module, an environmental change curve of the ambient temperature over time and a curve of the altitude change over time within a preset driving time;

[0062] S20: Obtaining an environmental impact index by analyzing an environmental change curve of the ambient temperature over time and an altitude change curve over time during a preset driving time;

[0063] S30: Obtaining, through the vehicle monitoring module, a speed variation curve of the vehicle speed over time and a pressure value variation curve of the accelerator pedal pressure over time;

[0064] S40: Obtaining an engine reaction state index and an engine power state index by analyzing a speed change curve of a vehicle speed over time, a pressure value change curve over time, and an environmental impact index within a preset driving time;

[0065] S50: Analyze the engine reaction state index to determine the engine reaction fault level; and send a corresponding reaction fault code according to the engine reaction fault level;

[0066] S60: Analyze according to the engine power state index to obtain the engine power fault level; and send a corresponding power fault code according to the engine power fault level;

[0067] S70: End the detection.

[0068] Through the above technical scheme, the analysis control module of this embodiment first obtains the environmental change curve of the ambient temperature over time and the curve of the altitude over time within the preset driving time through the automobile environment acquisition module; then obtains the environmental impact index by analyzing the environmental change curve of the ambient temperature over time and the altitude change curve of the altitude over time within the preset driving time; then obtains the speed change curve of the vehicle speed over time and the pressure value change curve of the accelerator pedal over time through the automobile monitoring module; then obtains the engine reaction state index and the engine power state index by analyzing the speed change curve of the vehicle speed over time, the pressure value change curve of the pressure value over time and the environmental impact index within the preset driving time; then analyzes according to the engine reaction state index to determine the engine reaction fault level; and sends the corresponding reaction fault code according to the engine reaction fault level; finally, analyzes according to the engine power state index to obtain the engine power fault level; and sends the corresponding power fault code according to the engine power fault level; ends the detection; evaluates the engine state in combination with the environmental impact index, thereby improving the accuracy of the engine fault analysis result, and at the same time, the staff can not only detect whether the engine has a fault, but also intuitively understand the severity of the fault.

[0069] As an implementation of the present invention, in step S20, the environmental impact index is calculated by the formula:

[0070]

[0071] Calculate the environmental impact index δ;

[0072] Wherein, H(t) is the curve of altitude change over time; T(t) is the curve of ambient temperature change over time; Δt is the preset driving time; H0 is the preset altitude; T0 is the preset ambient temperature; γ1 is the first weight coefficient; γ2 is the second weight coefficient; C1 is the first preset constant; C2 is the second preset constant;

[0073] Through the above technical solution, this embodiment It is the accumulated altitude during the preset driving time; is the average altitude within the preset driving time; is the difference between the average altitude within the preset driving time and the preset altitude; This indicates that the average altitude during the preset driving time is higher than the preset altitude. As the average altitude is higher, the engine performance is worse, so the environmental impact index δ is larger. This indicates that the average altitude within the preset driving time is lower than the preset altitude. Since the lower the altitude, the better the engine performance, and therefore the smaller the environmental impact index δ; The accumulated ambient temperature during the preset driving time; is the average ambient temperature during the preset driving time; The absolute value of the difference between the average ambient temperature during the preset driving time and the preset ambient temperature; the average ambient temperature during the preset driving time The absolute value of the difference from the preset ambient temperature T0 The larger the value, the higher the average ambient temperature. The greater the difference from the preset ambient temperature T0, the worse the engine performance and the greater the environmental impact index δ;

[0074] It should be noted that the preset driving time Δt, the preset altitude H0, the first weight coefficient γ1, the second weight coefficient γ2, the first preset constant C1 and the second preset constant C2 are preset values, and the preset ambient temperature T0 is the corresponding temperature with the best performance under the normal working state of the engine, which is obtained based on experience and will not be described in detail here; the preset ambient temperature T0 is the corresponding temperature with the best performance under the normal working state of the engine;

[0075] As an implementation mode of the present invention, in step S40, the engine reaction state index is:

[0076]

[0077] Calculate the engine reaction state index R;

[0078] Where f(X) is the judgment function. When X>0, f(X)=X; when X≤0, f(X)=0; N is the preset number of starts, n∈N; t sr is the preset reaction time when the vehicle of this model starts at the preset altitude H0 and the preset ambient temperature T0; t vn is the time when the car starts moving at the nth start; t dn is the time when the pedal begins to be pressed when the car starts for the nth time; ε1 is the first proportional coefficient, and ε1>0;

[0079] Through the above technical solution, in this embodiment, according to the preset parking action regulations, the foot is away from the accelerator pedal when parking, so the accelerator pedal is not subjected to pressure; according to the preset starting action regulations, the pedal is stepped on with a preset force, and the pedal begins to be subjected to foot pressure; therefore, t vn -t dn is the time difference between the time when the car starts to move and the time when the pedal starts to be pressed when the car starts, that is, the reaction time of the engine. is the average reaction time of N starts; the environmental impact index δ is adjusted by the first proportional coefficient ε1 to the preset reaction time t sr the extent of the impact; The average altitude within the preset driving time and average ambient temperature The preset reaction time under is the average reaction time of N starts and the average altitude during the preset driving time. and average ambient temperature The time difference of the preset reaction time under When N starts, the average reaction time is within the preset driving time at the average altitude. and average ambient temperature Therefore, the engine's reaction state is good, R = 1; when When the average reaction time of N starts exceeds the preset driving time at the average altitude and average ambient temperature Therefore, the engine's reaction state is poor, R>1; and the average reaction time of N starts and the preset driving time at the average altitude and average ambient temperature The time difference of the preset reaction time The larger it is, the worse the engine's reaction state is, and the larger the engine reaction state index R is;

[0080] It should be noted that the preset number of starts N, the time t when the car starts moving at the nth start vnThe time t when the pedal starts to move when the car starts for the nth time is obtained according to the speed change curve of the car speed over time during the preset driving time. dn The preset reaction time t is obtained by analyzing the speed change curve of the vehicle speed over time and the pressure value change curve over time within the preset driving time. The specific acquisition process is the existing technology. sr and the first proportional coefficient ε1 are preset values, which are obtained based on experience and will not be described in detail here.

[0081] As an implementation mode of the present invention, in step S40, the engine power state index is:

[0082]

[0083] Calculate the engine reaction state index E;

[0084] Among them, v0 is the preset vehicle speed; a sd When the vehicle of this model starts, it follows the preset starting action at the preset altitude H0 and the preset ambient temperature T0, and the vehicle starts to move to the preset acceleration until the vehicle speed reaches the preset vehicle speed v0; t sn is the time when the vehicle speed reaches the preset speed v0 when the vehicle starts for the nth time; ε2 is the second proportional coefficient, and ε2>0;

[0085] Through the above technical solution, this embodiment t sn -t vn The time difference between the time when the vehicle speed reaches the preset speed v0 and the time when the vehicle starts to move when the vehicle starts for the nth time; The acceleration when the car starts to reach the preset speed v0 for the nth time; is the average acceleration of N starts; the environmental impact index δ is adjusted by the second proportional coefficient ε2 to the preset acceleration a sd the extent of the impact; The average altitude within the preset driving time and average ambient temperature The preset acceleration under is the average acceleration of N starts and the average altitude during the preset driving time. and average ambient temperature The difference between the preset accelerations under When the average acceleration of N starts is greater than or equal to the average altitude during the preset driving time. and average ambient temperature The preset acceleration under the condition of good engine power E = 1; when When the average acceleration of N starts is less than the average altitude during the preset driving time, and average ambient temperature The preset acceleration below; the power state of the engine is poor, E > 1;

[0086] It should be noted that the preset vehicle speed v0, the preset acceleration a sd and the second proportionality coefficient ε2 are preset values, obtained according to experience, and will not be elaborated here.

[0087] As an implementation manner of the present invention, in step S50, the judgment process of the engine reaction fault level is as follows:

[0088] Compare the engine reaction state index R with the reaction preset threshold [X1, X2];

[0089] When 1 < R < X1, the engine reaction fault level is the first level;

[0090] When X1 ≤ R < X2, the engine reaction fault level is the second level;

[0091] When X2 ≤ R, the engine reaction fault level is the third level;

[0092] Through the above technical solution, in this embodiment, the engine reaction state index R is compared with the reaction preset threshold [X1, X2]; when 1 < R < X1, the engine reaction is slightly slow, the engine reaction fault is small, and the engine reaction fault level is the first level; when X1 ≤ R < X2, the engine reaction is slower, the engine reaction fault is larger, and the engine reaction fault level is the second level; when X2 ≤ R, the engine reaction is very slow, the engine reaction fault is serious, and the engine reaction fault level is the third level; it can assist the staff to understand the severity of the engine reaction fault;

[0093] It should be noted that the reaction preset threshold [X1, X2] is a preset value, obtained according to experience, and will not be elaborated here.

[0094] As an implementation manner of the present invention, in step S60, the judgment process of the engine power fault level is as follows:

[0095] Compare the engine reaction state index E with the power preset threshold [X3, X4];

[0096] When 1 < E < X3, the engine power fault level is the first level;

[0097] When X3 ≤ E < X4, the engine power fault level is the second level;

[0098] When X4 ≤ E, the engine power fault level is the third level;

[0099] Through the above technical solution, in this embodiment, the engine reaction state index E is compared with the power preset threshold [X3, X4]; when 1 < E < X3, the engine power is slightly poor, the engine power failure is small, and the engine power failure level is the first level; when X3 ≤ E < X4, the engine power is poor, the engine power failure is large, and the engine power failure level is the second level; when X4 ≤ E, the engine power is very poor, the engine power failure is serious, and the engine power failure level is the third level; it can assist the staff in understanding the severity of the engine power failure;

[0100] It should be noted that the power preset threshold [X3, X4] is a preset value obtained according to experience and will not be elaborated here.

[0101] The above has described a specific embodiment of the present invention in detail, but the content described is only the preferred embodiment of the present invention and cannot be considered as limiting the scope of implementation of the present invention. Any equivalent changes and improvements made within the scope of the application of the present invention should still fall within the scope covered by the patent of the present invention.

Claims

1. A method for automobile fault diagnosis based on data analysis, characterized in that: The fault diagnosis method includes the following steps: S1: Connect an on-vehicle diagnostic instrument to the diagnostic port of the vehicle; S2: Match the on-vehicle diagnostic instrument with the vehicle model; S3: Start the vehicle and drive the vehicle according to the preset detection rules; S4: Obtain real-time vehicle driving data through the vehicle monitoring module; obtain real-time environmental data through the vehicle environment acquisition module; S5: Analyze the real-time environmental data and real-time vehicle driving data through the analysis control module on the on-vehicle diagnostic instrument, rate the engine fault according to the analysis result, and finally send the corresponding fault code according to the level of the engine fault.

2. The automobile fault diagnosis method based on data analysis according to claim 1 is characterized in that: The preset detection rules include a preset starting action, a preset stopping action, a preset driving time, and a preset number of starting times; The real-time environmental data includes altitude and ambient temperature; the real-time vehicle driving data includes vehicle speed and the pressure value of the accelerator pedal.

3. The automobile fault diagnosis method based on data analysis according to claim 2 is characterized in that: The analysis process of the analysis control module is as follows: S10: Obtain the environmental change curve of ambient temperature over time and the curve of altitude change over time within the preset driving time through the vehicle environment acquisition module; S20: Analyze the environmental change curve of ambient temperature over time and the altitude change curve of altitude over time within the preset driving time to obtain an environmental impact index; S30: Respectively obtain the speed change curve of vehicle speed over time and the pressure value change curve of the accelerator pedal over time through the vehicle monitoring module; S40: Analyze the speed change curve of vehicle speed over time, the pressure value change curve of the pressure value over time, and the environmental impact index within the preset driving time to obtain an engine reaction state index and an engine power state index; S50: Analyze according to the engine reaction state index to judge the engine reaction fault level; and send the corresponding reaction fault code according to the engine reaction fault level; S60: Analyze according to the engine power state index to obtain the engine power fault level; and send the corresponding power fault code according to the engine power fault level; S70: End the detection.

4. The automobile fault diagnosis method based on data analysis according to claim 3 is characterized in that: In step S20, the environmental impact index is obtained through the formula: Calculate the environmental impact index δ; where, H(t) is the curve of altitude change over time; T(t) is the environmental change curve of ambient temperature over time; Δt is the preset driving time; H0 is the preset altitude; T0 is the preset ambient temperature; γ1 is the first weight coefficient; γ2 is the second weight coefficient; C1 is the first preset constant; C2 is the second preset constant.

5. The automobile fault diagnosis method based on data analysis according to claim 4 is characterized in that: In step S40, the engine reaction state index is: Calculate the engine reaction state index R; Where f(X) is the judgment function. When X>0, f(X)=X; when X≤0, f(X)=0; N is the preset number of starts, n∈N; t sr is the preset reaction time when the vehicle of this model starts at the preset altitude H0 and the preset ambient temperature T0; t vn is the time when the car starts moving at the nth start; t dn is the time when the pedal begins to be pressurized when the car starts for the nth time; ε1 is the first proportional coefficient, and ε1>0.

6. The automobile fault diagnosis method based on data analysis according to claim 5 is characterized in that: In step S40, the engine power state index is: Calculate the engine reaction state index E; Among them, v0 is the preset vehicle speed; a sd When the vehicle of this model starts, it follows the preset starting action at the preset altitude H0 and the preset ambient temperature T0, and the vehicle starts to move to the preset acceleration until the vehicle speed reaches the preset vehicle speed v0; t sn It is the time when the vehicle speed reaches the preset speed v0 when the vehicle starts for the nth time; it is the second proportional coefficient, and ε2>0.

7. The automobile fault diagnosis method based on data analysis according to claim 6 is characterized in that: In step S50, the judgment process of the engine reaction fault level is: Compare the engine reaction state index R with the reaction preset threshold [X1, X2]; When 1 < R < X1, the engine reaction fault level is level one; When X1 ≤ R < X2, the engine reaction fault level is level two; When X2 ≤ R, the engine reaction fault level is level three.

8. The automobile fault diagnosis method based on data analysis according to claim 7 is characterized in that: In step S60, the judgment process of the engine power fault level is: Compare the engine reaction state index E with the power preset threshold [X3, X4]; When 1 < E < X3, the engine power failure level is the first level; When X3 ≤ E < X4, the engine power failure level is the second level; When X4 ≤ E, the engine power failure level is the third level.

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