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

Abstract

The present application relates to a kind of engine oil pressure health state calibration method, device, electronic equipment and medium, belong to automobile health monitoring technical field, wherein, the method includes: obtaining the state information when vehicle normal operation, wherein state information includes engine oil pressure information, cooling water temperature information and engine speed information;According to the relationship that the positive correlation influence of engine speed to engine oil pressure and the negative correlation influence of cooling water temperature to engine oil pressure, fusion is carried out to state information, obtains fusion signal sample set;Extract the energy intensity information of fusion signal sample set, and construct energy intensity information sample set;Based on energy intensity information sample set, determine the engine oil pressure calibration curve when vehicle normal operation.The present application solves the technical problems that the prediction model error is large in the engine oil pressure monitoring method used in prior art, modeling is difficult, leading to low engine oil pressure monitoring efficiency.

Description

Technical Field

[0001] This invention relates to the field of automotive health monitoring technology, and in particular to a method, device, electronic device, and medium for calibrating the health status of engine oil pressure. Background Technology

[0002] The automotive oil lubrication system is crucial for the safe operation of the engine. The engine drives the oil pump through a belt pulley to generate oil pressure, which in turn drives the oil to form a lubricating film between the bearings and cylinder liners. The oil pressure is directly affected by the engine speed and the vehicle's operating conditions. Oil pressure failure will result in insufficient lubrication of the engine, and in severe cases, it can lead to cylinder scoring and bearing failure, directly causing safety and economic losses in the commercial operation of the vehicle.

[0003] Traditional oil pressure monitoring methods largely rely on driver experience and regular vehicle maintenance, resulting in low monitoring efficiency and inability to meet timeliness requirements. Engine manufacturers often use threshold methods for oil pressure monitoring, with thresholds largely determined by the range of oil pressure variation under specific operating conditions. While industry researchers have developed empirical physical models or mathematical formulas to calculate oil pressure, these methods suffer from high model complexity and inaccurate results. Oil pressure is directly affected by engine speed and changes in vehicle operating conditions. Oil pressure malfunctions will clearly manifest as abnormal oil pressure under corresponding operating conditions. Using data fusion methods to identify signals indicating normal oil pressure is feasible, but current industry research on this topic is relatively limited.

[0004] Using vehicle operating experience and oil pressure thresholds to monitor and diagnose oil pressure has the disadvantages of low monitoring efficiency and high manpower and time costs. It cannot achieve accurate prediction and real-time monitoring of oil pressure. Oil pressure monitoring methods based on dynamic or mathematical experience models have problems such as large prediction errors and difficulty in model building. The model building of these models mostly relies on complex dynamic analysis and mathematical formula derivation, resulting in low modeling efficiency. Summary of the Invention

[0005] In view of this, it is necessary to provide a method, device, electronic device and medium for calibrating the health status of engine oil pressure, so as to solve the technical problem that the prediction model used in the existing engine oil pressure monitoring method has large error and is difficult to model, resulting in low efficiency of engine oil pressure monitoring.

[0006] To address the above problems, this invention provides a method for calibrating the health status of engine oil pressure, comprising: Acquire the status information of the vehicle during normal operation, including oil pressure information, coolant temperature information and engine speed information; Based on the positive correlation between engine speed and oil pressure and the negative correlation between coolant temperature and oil pressure, the state information is fused to obtain a fused signal sample set. Extract energy intensity information from the fused signal sample set and construct an energy intensity information sample set; Based on the energy intensity information sample set, the oil pressure calibration curve during normal vehicle operation is determined.

[0007] In one possible implementation, the vehicle's normal operating status information further includes at least instrument speed information, mileage information, and fuel pressure information; Correlation calculations were performed on the instrument speed information and oil pressure information, mileage information and oil pressure information, fuel pressure information and oil pressure information, engine speed information and oil pressure information, and coolant temperature information and oil pressure information, respectively, and the correlation analysis results were obtained. Based on the relationship between the correlation analysis results and the correlation threshold, the state variables in the state information that have a positive or negative correlation with the oil pressure are determined.

[0008] In one possible implementation, determining the state variables in the state information that have a positive or negative correlation with oil pressure based on the relationship between the correlation analysis results and the correlation threshold includes: By comparing the correlation analysis results with the correlation threshold, it was determined that the correlation analysis results between engine speed information and oil pressure information were greater than the correlation threshold, and the correlation analysis results between coolant temperature information and oil pressure information were also greater than the correlation threshold. It was determined that engine speed has a positive correlation with oil pressure, and coolant temperature has a negative correlation with oil pressure.

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

[0010] In one possible implementation, after obtaining the fused signal sample set, the following is also included: The target fused signal sample set is obtained by correcting the fused signal sample set using a preset fusion coefficient.

[0011] In one possible implementation, the target fused signal can be represented by the following formula:

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

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

[0014] Secondly, the present invention also provides an oil pressure health status calibration device, comprising: The acquisition module is used to acquire the status information of the vehicle during normal operation, including oil pressure information, coolant temperature information and engine speed information. The fusion module is used to fuse state information based on the positive correlation between engine speed and oil pressure and the negative correlation between coolant temperature and oil pressure, to obtain a fused signal sample set. The energy intensity extraction module is used to extract energy intensity information from the fused signal sample set and construct an energy intensity information sample set. The calibration curve establishment module is used to determine the oil pressure calibration curve during normal vehicle operation based on the energy intensity information sample set.

[0015] Thirdly, the present invention also provides an electronic device, comprising: a processor and a memory; The memory stores a computer-readable program that can be executed by the processor; When the processor executes the computer-readable program, it implements the steps in the oil pressure health status calibration method as described above.

[0016] Fourthly, the present invention also provides a computer-readable storage medium storing one or more programs that 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 this invention are as follows: First, considering the different oil pressure performance of the engine under different operating conditions and at different times, the state information of the vehicle during normal operation is obtained, including oil pressure information, coolant temperature information, and engine speed information. Then, based on the positive correlation between engine speed and oil pressure, and the negative correlation between coolant temperature and oil pressure, the state information is fused to obtain a real-time fused signal sample set. Subsequently, 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 vehicle operation is determined, thereby enabling the comparison between the real-time oil pressure curve and the oil pressure calibration curve to qualitatively determine whether an oil pressure malfunction has occurred. This solves the technical problem of large prediction model errors and difficult modeling in oil pressure monitoring methods, which leads to low oil pressure monitoring efficiency. Attached Figure Description

[0018] Figure 1 A flowchart illustrating an embodiment of the oil pressure health status calibration method provided by the present invention; Figure 2 for Figure 1 A flowchart of a method according to an embodiment of step S102; Figure 3 A schematic diagram of the energy characteristic calibration curves for normal and faulty vehicles in the oil pressure health status calibration method provided by the present invention; Figure 4 This is a schematic diagram of an embodiment of the oil pressure health status calibration method and apparatus provided by the present invention; Figure 5 This is a schematic diagram of the operating environment of an embodiment of the electronic device provided by the present invention. Detailed Implementation

[0019] Preferred embodiments of the present invention will now be described in detail with reference to the accompanying drawings, which form 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 intended to limit the scope of the present invention.

[0020] A specific embodiment of the present invention discloses a method for calibrating the health status of engine oil pressure. Please refer to [link to relevant documentation]. Figure 1 ,include: S101. Obtain the status information of the vehicle during normal operation, including oil pressure information, coolant temperature information and engine speed information; S102. Based on the positive correlation between engine speed and oil pressure and the negative correlation between coolant temperature and oil pressure, the state information is fused to obtain a fused signal sample set. S103. Extract the energy intensity information of the fused signal sample set and construct the energy intensity information sample set; S104. Based on the energy intensity information sample set, determine the oil pressure calibration curve during normal vehicle operation.

[0021] In this embodiment, the different oil pressure performance of the engine under different operating conditions and at different times is first considered, and the state information of the vehicle during normal operation is obtained, including oil pressure information, coolant temperature information, and engine speed information. Then, based on the positive correlation between engine speed and oil pressure and the negative correlation between coolant temperature and oil pressure, the state information is fused to obtain a real-time fused signal sample set. Subsequently, 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 vehicle operation is determined, thereby enabling the comparison between the real-time oil pressure curve and the oil pressure calibration curve to qualitatively determine whether an oil pressure failure has occurred. This solves the technical problem of large prediction model errors and difficult modeling in the oil pressure monitoring method, which leads to low oil pressure monitoring efficiency.

[0022] It should be noted that when a vehicle is operating normally, with engine speed within the normal range and coolant temperature at a moderate level, oil pressure data collected under varying operating conditions during normal operation can serve as sample data for normal oil pressure signals, establishing a normal range or benchmark value for oil pressure. This helps determine whether the oil pressure is normal during actual operation and whether it deviates from the normal range, thus enabling qualitative analysis of oil pressure.

[0023] In some embodiments, the vehicle's normal operating status information further includes at least instrument speed information, mileage information, and fuel pressure information; Correlation calculations were performed on the instrument speed information and oil pressure information, mileage information and oil pressure information, fuel pressure information and oil pressure information, engine speed information and oil pressure information, and coolant temperature information and oil pressure information, respectively, and the correlation analysis results were obtained. Based on the relationship between the correlation analysis results and the correlation threshold, the state variables in the state information that have a positive or negative correlation with the oil pressure are determined.

[0024] In this embodiment, by selecting multiple state information related to changes in oil pressure and calculating the correlation between different state information and oil pressure, the most relevant state information affecting oil pressure is determined. This most relevant state information is then fused with the oil pressure data. The fused signal sample set can simultaneously consider the influence of multiple variables (such as engine speed and coolant temperature) on oil pressure, thus providing a more comprehensive analysis result. Analyzing each variable individually may not accurately capture the true changes in oil pressure. Furthermore, combining multiple data sources can reduce errors caused by changes in a single variable, improving the accuracy of oil pressure prediction.

[0025] It should be noted that correlation analysis can use statistical methods such as Pearson correlation coefficient or Spearman's rank correlation coefficient to determine the correlation between computer oil pressure, coolant temperature, and engine speed. In this embodiment, the Pearson correlation coefficient method is used for correlation calculation.

[0026] Specifically, scatter plots of oil pressure versus engine speed and oil pressure versus coolant temperature are plotted to observe the relationship between the data.

[0027] Furthermore, using the single-variable method, the correlation coefficients between various operating state signals and changes in oil pressure were calculated. A threshold comparison method was then used to select the most sensitive operating state signal. When the correlation analysis result exceeded the correlation threshold, the corresponding state information was determined to be a sensitive state signal related to oil pressure. Ultimately, it was determined that oil pressure has a strong positive correlation with engine speed and a strong negative correlation with engine coolant temperature.

[0028] In some embodiments, the state information is fused to obtain a fused signal sample set. (See also...) Figure 2 ,include: S201. Based on the positive correlation between engine speed and oil pressure, calculate the ratio of engine speed information to oil pressure information, and determine the first fusion result; S202. Based on the negative correlation between cooling water temperature and engine oil pressure, calculate the product of the first fusion result and the cooling water temperature information to obtain the fusion signal sample set.

[0029] In this embodiment, considering the positive correlation between engine speed and oil pressure, a ratio fusion method is used to standardize the oil pressure and engine speed values, allowing them to be fused and compared under the same dimensions. Furthermore, considering the negative correlation between coolant temperature and oil pressure, as temperature changes directly affect oil pressure, the coolant temperature information is multiplied by the first fusion result to obtain a fused signal sample set, as shown in the following formula:

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

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

[0032] In a specific embodiment, the fused dataset can be represented by the following formula:

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

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

[0035] In this embodiment, the root mean square value feature of the fused data is extracted from the continuous daily data samples of vehicles with normal oil pressure using the following formula: (2) Where Rms represents the root mean square value, X(i) represents the fused signal data sequence, and N represents the number of samples. i This is the sample number.

[0036] As a representation of the energy intensity of the fused signal oil pressure, the root mean square value variation curve is plotted. This curve serves as a characteristic compression and trend analysis of the original data for normal vehicle oil pressure, and as a calibration curve for the healthy state of the oil pressure. Figure 3 The energy characteristic calibration curves of the fused data samples of vehicles with normal and faulty oil pressure are shown. Compared with vehicles with low oil pressure and faulty oil pressure, their oil pressure energy characteristic calibration curves are significantly lower than the oil pressure health status calibration curves. This method can identify vehicles with normal and faulty oil pressure and can be used to diagnose the health status of oil pressure.

[0037] Based on the above-described oil pressure health calibration method, this invention also provides an oil pressure health status calibration device. Please refer to [link to relevant documentation]. Figure 4 ,include: The acquisition module 410 is used to acquire the status information of the vehicle during normal operation, including oil pressure information, coolant temperature information and engine speed information. The fusion module 420 is used to fuse state information based on the positive correlation between engine speed and oil pressure and the negative correlation between coolant temperature and oil pressure to obtain a fused signal sample set. The energy intensity extraction module 430 is used to extract energy intensity information from the fused signal sample set and construct an energy intensity information sample set. The calibration curve establishment module 440 is used to determine the oil pressure calibration curve during normal vehicle operation based on the energy intensity information sample set.

[0038] like Figure 5 As shown, based on the above-described oil pressure health calibration method, the present invention also provides an electronic device, which can be a mobile terminal, desktop computer, laptop, handheld computer, server, or other computing electronic device. 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; however, 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, memory 520 may be an internal storage unit of the electronic device, such as a hard disk or memory. In other embodiments, memory 520 may be an external storage device, such as a plug-in hard disk, smart media card (SMC), secure digital card (SD), flash card, etc. Furthermore, memory 520 may include both internal and external storage devices. Memory 520 is used to store application software and various types of data installed on the electronic device, such as program code installed on the electronic device. Memory 520 may also be used to temporarily store data that has been output or will be output. In one embodiment, memory 520 stores an oil pressure health calibration program 540, which can be executed by processor 510 to implement the oil pressure health calibration method of the embodiments of this application.

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

[0041] In some embodiments, display 530 may be an LED display, a liquid crystal display, a touch-screen liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen. Display 430 is used to display information from the oil pressure health calibration electronics and to provide a user interface for visualization. Components 510-530 of the electronics communicate with each other via a system bus.

[0042] Those skilled in the art will understand that all or part of the processes of the methods described in the above embodiments can be implemented by a computer program instructing related hardware, and the program can be stored in a computer-readable storage medium. The computer-readable storage medium may be a disk, optical disk, read-only memory, or random access memory, etc.

[0043] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for calibrating the health status of engine oil pressure, characterized in that, include: Acquire the status information of the vehicle during normal operation, including oil pressure information, coolant temperature information and engine speed information; Based on the positive correlation between engine speed and oil pressure and the negative correlation between coolant temperature and oil pressure, the state information is fused to obtain a fused signal sample set. Extract energy intensity information from the fused signal sample set and construct an energy intensity information sample set; Based on the energy intensity information sample set, determine the oil pressure calibration curve during normal vehicle operation; The vehicle's normal operating status information also includes at least instrument speed information, mileage information, and fuel pressure information; Correlation calculations were performed on the instrument speed information and oil pressure information, mileage information and oil pressure information, fuel pressure information and oil pressure information, engine speed information and oil pressure information, and coolant temperature information and oil pressure information, respectively, and the correlation analysis results were obtained. Based on the relationship between the correlation analysis results and the correlation threshold, determine the state variables in the state information that have a positive or negative correlation with the oil pressure. The step of determining the state variables in the state information that have a positive or negative correlation with oil pressure based on the relationship between the correlation analysis results and the correlation threshold includes: By comparing the correlation analysis results with the correlation threshold, it was determined that the correlation analysis results between engine speed information and oil pressure information were greater than the correlation threshold, and the correlation analysis results between coolant temperature information and oil pressure information were also greater than the correlation threshold. It was determined that engine speed has a positive correlation with oil pressure, and coolant temperature has a negative correlation with oil pressure; The process of fusing state information to obtain a fused signal sample set includes: Based on the positive correlation between engine speed and oil pressure, the ratio of engine speed information to oil pressure information is calculated to determine the first fusion result; Based on the negative correlation between cooling water temperature and oil pressure, the product of the first fusion result and the cooling water temperature information is calculated to obtain the fusion signal sample set. After obtaining the fused signal sample set, the following is also included: The target fused signal sample set is obtained by correcting the fused signal sample set using preset fusion coefficients. The target fused signal can be represented by the following formula: in, X(i) Indicates the target fusion signal, P(i) This indicates oil pressure information. R(i) This indicates engine speed information. T (i) This indicates the cooling water temperature information. C This represents the fusion coefficient.

2. The method for calibrating the health status of engine oil pressure according to claim 1, characterized in that, The step of extracting energy intensity information from the fused signal sample set and constructing an energy intensity information sample set includes: The root mean square value feature of the fused signal is extracted to obtain the energy intensity information of the fused signal, and an energy intensity information sample set is constructed.

3. A device for calibrating the health status of engine oil pressure, characterized in that, The apparatus is used to perform the method according to any one of claims 1-2, comprising: The acquisition module is used to acquire the status information of the vehicle during normal operation, including oil pressure information, coolant temperature information and engine speed information. The fusion module is used to fuse state information based on the positive correlation between engine speed and oil pressure and the negative correlation between coolant temperature and oil pressure, to obtain a fused signal sample set. The energy intensity extraction module is used to extract energy intensity information from the fused signal sample set and construct an energy intensity information sample set. The calibration curve establishment module is used to determine the oil pressure calibration curve during normal vehicle operation based on the energy intensity information sample set.

4. An electronic device, characterized in that, include: Processor and memory; The memory stores a computer-readable program that can be executed by the processor; When the processor executes the computer-readable program, it implements the steps in the oil pressure health status calibration method as described in any one of claims 1-2.

5. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores one or more programs, which 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 1-2.

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