Engine oil pressure health state calibration method and device, electronic equipment and medium

Abstract

The invention relates to an engine oil pressure health state calibration method and device, electronic equipment and a medium, and belongs to the technical field of automobile health monitoring, the method comprises the steps that state information of a vehicle during normal operation is obtained, and the state information comprises engine oil pressure information, cooling water temperature information and engine rotating speed information; according to the relation between the positive correlation influence of the engine speed on the engine oil pressure and the negative correlation influence of the cooling water temperature on the engine oil pressure, the state information is fused, and a fused signal sample set is obtained; extracting energy intensity information of the fusion signal sample set, and constructing an energy intensity information sample set; and based on the energy intensity information sample set, an engine oil pressure calibration curve during normal operation of the vehicle is determined. The engine oil pressure monitoring method solves the technical problem that the engine oil pressure monitoring efficiency is low due to the fact that a prediction model adopted by an engine oil pressure monitoring method in the prior art is large in error and difficult to model.

Description

Technical Field

[0001] The present invention relates to the technical field of automobile health monitoring, and in particular to an oil pressure health status calibration method, device, electronic equipment and medium. Background Art

[0002] The automobile oil lubrication system is vital to the safe operation of the engine. The engine drives the oil pump through the pulley transmission to generate oil pressure, driving the oil to form a lubricating oil film between the bearing and the cylinder liner. The oil pressure is directly affected by the engine speed and the vehicle operating conditions. Oil pressure failure will cause the engine to be insufficiently lubricated. In severe cases, it will cause the engine to pull the cylinder and pull the bearing failure, directly causing safety and economic losses in the commercial operation of the vehicle.

[0003] Traditional oil pressure monitoring is mostly based on the driver's experience and regular vehicle maintenance inspections. Its monitoring efficiency for oil pressure is low and cannot meet the timeliness of oil pressure monitoring. At the same time, engine manufacturers use threshold judgment methods for oil pressure monitoring, and the threshold setting mostly depends on the range of oil pressure changes under specific operating conditions. Relevant scholars in the industry calculate oil pressure by establishing empirical physical models or mathematical formulas, which has the problems of high model complexity and inaccurate calculation results. Oil pressure is directly affected by engine speed and is also affected by changes in vehicle operating status information. Oil pressure failure will obviously show abnormal oil pressure under corresponding operating conditions. It is feasible to use data fusion methods to identify the signal performance of oil pressure under normal conditions. At present, there is relatively little research on it in the industry.

[0004] Monitoring and diagnosing oil pressure by using vehicle operation experience and oil pressure threshold judgment has the disadvantages of low monitoring efficiency, high manpower and time costs, and cannot achieve accurate prediction and real-time monitoring of oil pressure. Oil pressure monitoring methods based on dynamic or mathematical empirical models have the problems of large prediction errors and difficulty in model establishment. The establishment of their models mostly relies on complex dynamic analysis and mathematical formula derivation, and has the problem of low modeling efficiency. Summary of the invention

[0005] In view of this, it is necessary to provide an oil pressure health status calibration method, device, electronic equipment and medium to solve the technical problems of large error and modeling difficulty of the prediction model used in the oil pressure monitoring method in the prior art, resulting in low oil pressure monitoring efficiency.

[0006] In order to solve the above problems, the present invention provides a method for calibrating the healthy state of engine oil pressure, comprising: Acquiring status information of the vehicle during normal operation, wherein the status information includes oil pressure information, cooling water temperature information and engine speed information; According to the positive correlation effect of engine speed on oil pressure and the negative correlation effect of cooling water temperature on oil pressure, the state information is fused to obtain a fused signal sample set; Extracting energy intensity information of the fused signal sample set and constructing an energy intensity information sample set; Based on the energy intensity information sample set, an oil pressure calibration curve for normal vehicle operation is determined.

[0007] In a possible implementation, the state information of the vehicle during normal operation also includes at least instrument speed information, mileage information and fuel pressure information; Relative correlations are calculated between the instrument vehicle speed information and the oil pressure information, the mileage information and the oil pressure information, the fuel pressure information and the oil pressure information, the engine speed information and the oil pressure information, and the cooling water temperature information and the oil pressure information, respectively, to obtain correlation analysis results; According to the magnitude relationship between the correlation analysis result and the correlation threshold, the state quantity in the state information that has a positive or negative correlation with the oil pressure is determined.

[0008] In a possible implementation, determining the state quantity in the state information that has a positive or negative correlation with the oil pressure according to the magnitude relationship between the correlation analysis result and the correlation threshold value includes: Comparing the correlation analysis result with the correlation threshold, determining that the correlation analysis result of the engine speed information and the oil pressure information is greater than the correlation threshold, and the correlation analysis result of the cooling water temperature information and the oil pressure information is greater than the correlation threshold; It is determined that the engine speed has a positive correlation with the oil pressure, and the cooling water temperature has a negative correlation with the oil pressure.

[0009] In a possible implementation, fusing the state information to obtain a fused signal sample set includes: Based on the positive correlation effect of the engine speed on the oil pressure, the ratio of the engine speed information to the oil pressure information is calculated to determine a first fusion result; Based on the negative correlation effect of cooling water temperature on oil pressure, the product of the first fusion result and the cooling water temperature information is calculated to obtain a fusion signal sample set.

[0010] In a possible implementation, after obtaining the fused signal sample set, the method further includes: The preset fusion coefficient is used to correct the fusion signal sample set to obtain the target fusion signal sample set.

[0011] In a possible implementation, the target fusion signal can be expressed by the following formula:

[0012] in, X(i) represents the target fusion signal, P(i) Indicates the oil pressure information. R(i) Indicates engine speed information. T(i) Indicates cooling water temperature information. C Represents the fusion coefficient.

[0013] In a possible implementation, extracting energy intensity information of the fused signal sample set and constructing the energy intensity information sample set includes: The root mean square value feature extraction is performed on the fused signal to obtain energy intensity information of the fused signal, and an energy intensity information sample set is constructed.

[0014] In a second aspect, the present invention further provides an oil pressure health status calibration device, comprising: An acquisition module is used to acquire status information of the vehicle during normal operation, wherein the status information includes oil pressure information, cooling water temperature information and engine speed information; A fusion module is used to fuse the state information according to the positive correlation effect of the engine speed on the oil pressure and the negative correlation effect of the cooling water temperature on the oil pressure to obtain a fusion signal sample set; An energy intensity extraction module, used to extract energy intensity information of a fusion signal sample set and construct an energy intensity information sample set; The calibration curve establishing module is used to determine the oil pressure calibration curve when the vehicle is operating normally based on the energy intensity information sample set.

[0015] In a third aspect, the present invention further provides an electronic device, comprising: a processor and a memory; The memory stores a computer-readable program executable by the processor; When the processor executes the computer-readable program, the steps in the oil pressure health status calibration method as described above are implemented.

[0016] In a fourth aspect, the present invention also provides a computer-readable storage medium, which stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps in the oil pressure health status calibration method as described above.

[0017] The beneficial effects of the present invention are as follows: first, considering that the oil pressure performance of the engine under different working conditions and at different times is different, the state information of the vehicle during normal operation is obtained, wherein the state information includes oil pressure information, cooling water temperature information and engine speed information; then, according to the positive correlation effect of the engine speed on the oil pressure and the negative correlation effect of the cooling water temperature on the oil pressure, the state information is fused to obtain a real-time fusion signal sample set; then, the energy intensity information of the fusion signal sample set is extracted, and an energy intensity information sample set is constructed; finally, based on the energy intensity information sample set, the oil pressure calibration curve of the vehicle during normal operation is determined, so that the real-time oil pressure curve can be compared with the oil pressure calibration curve, and it is qualitatively determined whether the oil pressure fails, which solves the technical problem that the prediction model adopted by the oil pressure monitoring method has large errors and modeling difficulties, resulting in low oil pressure monitoring efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 A method flow chart of an embodiment of a method for calibrating the healthy state of engine oil pressure provided by the present invention; Figure 2 for Figure 1 A method flow chart of an embodiment of step S102; Figure 3 A schematic diagram of the energy characteristic calibration curve of a vehicle with normal and faulty oil pressure in the oil pressure health status calibration method provided by the present invention; Figure 4 It is a schematic diagram of an embodiment of a method and device for calibrating the healthy state of engine oil pressure provided by the present invention; Figure 5 It is a schematic diagram of the operating environment of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0019] The preferred embodiments of the present invention are described in detail below in conjunction with the accompanying drawings, wherein the accompanying drawings constitute a part of this application and are used together with the embodiments of the present invention to illustrate the principles of the present invention, but are not used to limit the scope of the present invention.

[0020] A specific embodiment of the present invention discloses a method for calibrating the healthy state of oil pressure. Figure 1 ,include: S101, obtaining status information of a vehicle during normal operation, wherein the status information includes oil pressure information, cooling water temperature information, and engine speed information; S102, fusing the state information according to the positive correlation effect of the engine speed on the oil pressure and the negative correlation effect of the cooling water temperature on the oil pressure to obtain a fused signal sample set; S103, extracting energy intensity information of the fused signal sample set, and constructing an energy intensity information sample set; S104: Determine an oil pressure calibration curve when the vehicle is operating normally based on the energy intensity information sample set.

[0021] In this embodiment, firstly, the different oil pressure performances of the engine under different working conditions and at different times are considered, and the state information of the vehicle during normal operation is obtained, wherein the state information includes oil pressure information, cooling water temperature information and engine speed information; then, according to the positive correlation effect of the engine speed on the oil pressure and the negative correlation effect of the cooling water temperature on the oil pressure, the state information is fused to obtain a real-time fused signal sample set; then, the energy intensity information of the fused signal sample set is extracted, and an energy intensity information sample set is constructed; finally, based on the energy intensity information sample set, the oil pressure calibration curve during normal operation of the vehicle is determined, so that the real-time oil pressure curve can be compared with the oil pressure calibration curve, and it can be qualitatively judged whether the oil pressure has a fault, which solves the technical problem that the prediction model adopted by the oil pressure monitoring method has large errors and modeling difficulties, resulting in low oil pressure monitoring efficiency.

[0022] It should be noted that when the vehicle is in normal working condition, the engine speed is within the normal range and the cooling water temperature is moderate. By collecting the oil pressure data of the vehicle under variable working conditions under normal working condition as the signal sample data of normal oil pressure, the normal range or reference value of oil pressure can be established. This helps to judge whether the oil pressure is normal in actual operation and whether it deviates from the normal range. Thus, a qualitative analysis of oil pressure can be achieved.

[0023] In some embodiments, the state information of the vehicle during normal operation also includes at least instrument speed information, mileage information and fuel pressure information; Relative correlations are calculated between the instrument vehicle speed information and the oil pressure information, the mileage information and the oil pressure information, the fuel pressure information and the oil pressure information, the engine speed information and the oil pressure information, and the cooling water temperature information and the oil pressure information, respectively, to obtain correlation analysis results; According to the magnitude relationship between the correlation analysis result and the correlation threshold, the state quantity in the state information that has a positive or negative correlation with the oil pressure is determined.

[0024] In this embodiment, by selecting multiple state information related to the change of oil pressure and calculating the correlation between different state information and oil pressure, the most relevant state information affecting the oil pressure is determined, and the most relevant state information is fused with the oil pressure. The fused signal sample set can simultaneously consider the impact of multiple variables (such as engine speed and cooling water temperature) on the oil pressure, thereby providing a more comprehensive analysis result. Analyzing each variable separately may not accurately capture the true change of oil pressure. It is also possible to reduce the error caused by the change of a single variable and improve the accuracy of oil pressure prediction by combining multiple data sources.

[0025] It should be noted that the correlation analysis can use statistical methods such as Pearson correlation coefficient or Spearman rank correlation coefficient to calculate the correlation between oil pressure, cooling water temperature and engine speed. In this embodiment, the Pearson correlation coefficient method is used to calculate the correlation.

[0026] Specifically, by drawing a scatter plot of oil pressure and engine speed, and a scatter plot of oil pressure and cooling water temperature, the relationship between the data can be observed.

[0027] Furthermore, the single variable method is used to calculate the correlation coefficient between each operating state signal and the oil pressure change, and the most sensitive operating state signal is selected through the threshold comparison method. When the correlation analysis result is greater than the correlation threshold, the corresponding state information is determined to be a sensitive state signal related to the oil pressure. Finally, it is determined that the oil pressure is strongly positively correlated with the engine speed and strongly negatively correlated with the engine cooling water temperature.

[0028] In some embodiments, the state information is fused to obtain a fused signal sample set. Figure 2 ,include: S201, based on the positive correlation effect of the engine speed on the oil pressure, calculating the ratio of the engine speed information to the oil pressure information, and determining a first fusion result; S202: Based on the negative correlation effect of the cooling water temperature on the oil pressure, the product of the first fusion result and the cooling water temperature information is calculated to obtain a fusion signal sample set.

[0029] In this embodiment, considering the positive correlation effect of engine speed on oil pressure, the ratio fusion method is used to standardize the oil pressure value and the engine speed value so that they can be fused and compared in the same dimension. In addition, considering the negative correlation between cooling water temperature and oil pressure, the change of temperature directly affects the oil pressure. The cooling water temperature information is multiplied by the first fusion result to obtain a fusion signal sample set. As shown in the following formula:

[0030] in, X(i) represents the target fusion signal, P(i) Indicates the oil pressure information. R(i) Indicates engine speed information. T(i) Indicates cooling water temperature information. C Represents the fusion coefficient.

[0031] Furthermore, since the first fusion result is of a different order of magnitude from the cooling water temperature information, a fusion coefficient is introduced to correct the fusion data.

[0032] In a specific embodiment, the fused data set can be expressed by the following formula:

[0033] X(i) represents the target fusion signal, P(i) Indicates the oil pressure information. R(i) Indicates engine speed information. T(i) Represents cooling water temperature information, C=100, represents the fusion coefficient.

[0034] In one embodiment, extracting energy intensity information of the fused signal sample set and constructing the energy intensity information sample set includes: The root mean square value feature extraction is performed on the fused signal to obtain energy intensity information of the fused signal, and an energy intensity information sample set is constructed.

[0035] In this embodiment, for the continuous data samples of vehicles with normal oil pressure every day, the root mean square value feature of the fused data is extracted according to the following formula: (2) Among them, Rms represents the root mean square value, X(i) represents the fusion signal data sequence, and N represents the number of samples. i The sample number.

[0036] As a representation of the energy intensity of the fusion signal oil pressure, the change curve of the RMS value is then drawn, as the characteristic compression and change trend of the original data of the vehicle with normal oil pressure, as the calibration curve of the oil pressure health state, such as Figure 3 The energy characteristic calibration curve of the fused data samples of vehicles with normal oil pressure and faulty oil pressure is significantly lower than the oil pressure healthy status calibration curve compared with the vehicle with low oil pressure fault. It can identify vehicles with normal oil pressure and faulty oil pressure. The oil pressure healthy status identification method can be used to diagnose the health status of oil pressure.

[0037] Based on the above-mentioned oil pressure health calibration method, the embodiment of the present invention also provides an oil pressure health status calibration device, please refer to Figure 4 ,include: An acquisition module 410 is used to acquire status information of the vehicle during normal operation, wherein the status information includes oil pressure information, cooling water temperature information and engine speed information; A fusion module 420 is used to fuse the state information according to the positive correlation effect of the engine speed on the oil pressure and the negative correlation effect of the cooling water temperature on the oil pressure to obtain a fused signal sample set; An energy intensity extraction module 430 is used to extract energy intensity information of the fused signal sample set and construct an energy intensity information sample set; The calibration curve establishing module 440 is used to determine the oil pressure calibration curve when the vehicle is operating normally based on the energy intensity information sample set.

[0038] like Figure 5 As shown, based on the above oil pressure health calibration method, the present invention also provides an electronic device, which can be a computing electronic device such as a mobile terminal, a desktop computer, a notebook, a palm computer, and a server. The electronic device includes a processor 510, a memory 520, and a display 530. Figure 5 Only some components of the electronic device are shown, but it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0039] In some embodiments, the memory 520 may be an internal storage unit of the electronic device, such as a hard disk or memory of the electronic device. In other embodiments, the memory 520 may also be an external storage electronic device of the electronic device, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device. Furthermore, the memory 520 may also include both an internal storage unit of the electronic device and an external storage electronic device. The memory 520 is used to store application software and various types of data installed in the electronic device, such as program codes for installing the electronic device. The memory 520 can also be used to temporarily store data that has been output or is to be output. In one embodiment, an oil pressure health calibration program 540 is stored on the memory 520, and the oil pressure health calibration program 540 can be executed by the processor 510, thereby realizing the oil pressure health calibration method of each embodiment of the present application.

[0040] In some embodiments, the processor 510 may be a central processing unit (CPU), a microprocessor or other data processing chip, used to run program codes or process data stored in the memory 520, such as executing an oil pressure health calibration method.

[0041] In some embodiments, the display 530 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, etc. The display 430 is used to display information on the oil pressure health calibration electronic device and to display a visual user interface. The components 510-530 of the electronic device communicate with each other via a system bus.

[0042] Those skilled in the art will appreciate that all or part of the processes of the above-mentioned embodiments can be implemented by instructing related hardware through a computer program, and the program can be stored in a computer-readable storage medium, wherein the computer-readable storage medium is a disk, an optical disk, a read-only storage memory, or a random access memory, etc.

[0043] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by any technician familiar with the technical field within the technical scope disclosed by the present invention should be covered within the protection scope of the present invention.

Claims

1. A method for calibrating the healthy state of engine oil pressure, characterized in that: include: Acquiring status information of the vehicle during normal operation, wherein the status information includes oil pressure information, cooling water temperature information and engine speed information; According to the positive correlation effect of engine speed on oil pressure and the negative correlation effect of cooling water temperature on oil pressure, the state information is fused to obtain a fused signal sample set; Extracting energy intensity information of the fused signal sample set and constructing an energy intensity information sample set; Based on the energy intensity information sample set, an oil pressure calibration curve for normal vehicle operation is determined.

2. The oil pressure health status calibration method according to claim 1, characterized in that: The state information of the vehicle during normal operation also includes at least instrument speed information, mileage information and fuel pressure information; Relative correlations are calculated between the instrument vehicle speed information and the oil pressure information, the mileage information and the oil pressure information, the fuel pressure information and the oil pressure information, the engine speed information and the oil pressure information, and the cooling water temperature information and the oil pressure information, respectively, to obtain correlation analysis results; According to the magnitude relationship between the correlation analysis result and the correlation threshold, the state quantity in the state information that has a positive or negative correlation with the oil pressure is determined.

3. The oil pressure health status calibration method according to claim 2, characterized in that: Determining the state quantity in the state information that has a positive or negative correlation with the oil pressure according to the magnitude relationship between the correlation analysis result and the correlation threshold value includes: Comparing the correlation analysis result with the correlation threshold, determining that the correlation analysis result of the engine speed information and the oil pressure information is greater than the correlation threshold, and the correlation analysis result of the cooling water temperature information and the oil pressure information is greater than the correlation threshold; It is determined that the engine speed has a positive correlation with the oil pressure, and the cooling water temperature has a negative correlation with the oil pressure.

4. The oil pressure health status calibration method according to claim 1, characterized in that: The state information is fused to obtain a fused signal sample set, including: Based on the positive correlation effect of the engine speed on the oil pressure, the ratio of the engine speed information to the oil pressure information is calculated to determine a first fusion result; Based on the negative correlation effect of cooling water temperature on oil pressure, the product of the first fusion result and the cooling water temperature information is calculated to obtain a fusion signal sample set.

5. The oil pressure health status calibration method according to claim 4, characterized in that: After obtaining the fused signal sample set, it also includes: The preset fusion coefficient is used to correct the fusion signal sample set to obtain the target fusion signal sample set.

6. The oil pressure health status calibration method according to claim 5, characterized in that: The target fusion signal can be expressed by the following formula: in, X(i) represents the target fusion signal, P(i) Indicates the oil pressure information. R(i) Indicates engine speed information. T (i) Indicates cooling water temperature information. C Represents the fusion coefficient.

7. The oil pressure health status calibration method according to claim 1, characterized in that: The step of extracting energy intensity information of the fused signal sample set and constructing the energy intensity information sample set includes: The root mean square value feature extraction is performed on the fused signal to obtain energy intensity information of the fused signal, and an energy intensity information sample set is constructed.

8. An oil pressure health status calibration device, characterized in that: include: An acquisition module is used to acquire status information of the vehicle during normal operation, wherein the status information includes oil pressure information, cooling water temperature information and engine speed information; A fusion module is used to fuse the state information according to the positive correlation effect of the engine speed on the oil pressure and the negative correlation effect of the cooling water temperature on the oil pressure to obtain a fusion signal sample set; An energy intensity extraction module, used to extract energy intensity information of a fusion signal sample set and construct an energy intensity information sample set; The calibration curve establishing module is used to determine the oil pressure calibration curve when the vehicle is operating normally based on the energy intensity information sample set.

9. An electronic device, characterized in that: include: Processor and memory; The memory stores a computer-readable program executable by the processor; When the processor executes the computer-readable program, the steps in the oil pressure health status calibration method as described in any one of claims 1-7 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps in the oil pressure health status calibration method as described in any one of claims 1-7.

Images