A method and device for detecting abnormal fuel consumption of vehicle pressure buildup

Abstract

The present invention relates to a method and device for detecting abnormal pressure-building fuel consumption of a vehicle, and belongs to the technical field of vehicle fuel consumption detection, wherein the method comprises acquiring historical driving data of a vehicle within a preset time, and obtaining at least one single pressure-building fuel consumption according to the historical driving data; determining a graded proportion of pressure-building fuel consumption within the preset time based on the at least one single pressure-building fuel consumption; obtaining a pressure-building fuel consumption abnormality detection result of the vehicle according to the graded proportion of pressure-building fuel consumption; the present invention can determine whether the fuel consumption state of the vehicle is abnormal according to the pressure-building fuel consumption abnormality detection result, so that the driver can inspect and repair the vehicle according to the pressure-building fuel consumption abnormality detection result, thereby reducing the fuel consumption of the vehicle and solving the technical problem of high fuel consumption of the vehicle.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle fuel consumption detection, and in particular to a method and device for detecting abnormal fuel consumption of a vehicle under pressure buildup. Background Art

[0002] With the development of my country's economy and society, the number of vehicles and equipment has gradually increased, but many problems have also emerged, such as huge fuel consumption. However, during the driving process, poor driving skills (such as excessive throttle position, mismatch between vehicle speed and gear, too high or too low speed, frequent starting and frequent braking) will lead to increased vehicle fuel consumption and abnormal fuel consumption.

[0003] When the fuel consumption of a vehicle is high, the vehicle needs to be inspected and repaired. However, in the prior art, it is impossible to determine whether the fuel consumption state is abnormal based on the driving data of the vehicle, which leads to the problem of high fuel consumption of the vehicle.

[0004] Therefore, there is an urgent need to propose a method and device for detecting abnormal fuel consumption during vehicle pressure buildup to solve the technical problem that the prior art cannot determine whether the fuel consumption state is abnormal based on the vehicle's driving data, thereby causing the vehicle to consume more fuel. Summary of the invention

[0005] In view of this, it is necessary to provide a method and device for detecting abnormal fuel consumption during vehicle pressure buildup, so as to solve the technical problem in the prior art that it is impossible to determine whether the fuel consumption status is abnormal based on the vehicle's driving data, thereby causing the vehicle to consume more fuel.

[0006] In order to solve the above problems, the present invention provides a method for detecting abnormal fuel consumption during vehicle pressure buildup, comprising:

[0007] Acquire historical driving data of the vehicle within a preset time, and obtain at least one single pressure-building fuel consumption according to the historical driving data;

[0008] Determining a graded proportion of the pressure building fuel consumption within the preset time based on the at least one single pressure building fuel consumption;

[0009] According to the pressure-building fuel consumption classification proportions, a pressure-building fuel consumption abnormality detection result of the vehicle is obtained.

[0010] In a possible implementation, the historical driving data includes fuel consumption and vehicle brake pressure, and obtaining at least one single pressure-building fuel consumption according to the historical driving data includes:

[0011] Processing two adjacent vehicle brake air pressures in the historical driving data according to the preset time to obtain at least one pressure building starting point and at least one pressure building ending point;

[0012] The fuel consumption is processed based on the at least one pressure build-up starting point and the at least one pressure build-up ending point to obtain at least one single pressure build-up fuel consumption of the vehicle.

[0013] In a possible implementation, the processing of two adjacent vehicle brake air pressures in the historical driving data according to the preset time to obtain at least one pressure building starting point and at least one pressure building ending point includes:

[0014] Calculating the brake air pressures of two adjacent vehicles in the historical driving data according to the preset time to obtain an air pressure difference;

[0015] Determining a preset time corresponding to the brake air pressure at which the air pressure difference is greater than a preset first air pressure threshold as a pressure building starting point;

[0016] The preset time corresponding to the brake air pressure when the air pressure difference is less than the preset second air pressure threshold is determined as the pressure building end point.

[0017] In a possible implementation, determining the graded proportion of the pressure building fuel consumption within the preset time based on the at least one single pressure building fuel consumption includes:

[0018] Obtaining daily pressure building fuel consumption according to the at least one single pressure building fuel consumption;

[0019] The daily pressure building fuel consumption is analyzed according to a preset fuel consumption abnormality classification threshold table to obtain a pressure building fuel consumption classification ratio.

[0020] In a possible implementation, obtaining the daily pressure building fuel consumption according to the at least one single pressure building fuel consumption includes:

[0021] Processing the at least one single pressure-building fuel consumption based on the preset time to determine all single pressure-building fuel consumptions per day;

[0022] The daily pressure building fuel consumption corresponding to each day is obtained according to the average value of all the single pressure building fuel consumptions.

[0023] In a possible implementation, the daily pressure building fuel consumption is analyzed according to a preset fuel consumption abnormality classification threshold table to obtain the pressure building fuel consumption classification proportion, including:

[0024] Determining a first threshold and a second threshold in the preset fuel consumption abnormality classification threshold table according to the vehicle type of the vehicle;

[0025] Classify the daily pressure-building fuel consumption according to the preset time to obtain the pressure-building fuel consumption for the week;

[0026] The pressure building fuel consumption classification ratio is obtained according to the first threshold, the second threshold and the pressure building fuel consumption of the week.

[0027] In a possible implementation, obtaining the pressure building fuel consumption classification proportion according to the first threshold, the second threshold, and the pressure building fuel consumption in the current week includes:

[0028] The pressure building fuel consumption of the week is analyzed to obtain a graded proportion of the pressure building fuel consumption, where the graded proportion of the pressure building fuel consumption includes a first proportion that is less than the first threshold, a second proportion that is between the first threshold and the second threshold, and a third proportion that is greater than the second threshold.

[0029] In a possible implementation, obtaining the abnormal pressure-building fuel consumption detection result of the vehicle according to the pressure-building fuel consumption classification proportion includes:

[0030] Compare the first proportion, the second proportion and the third proportion to obtain a maximum proportion;

[0031] According to the maximum proportion, a pressure-building fuel consumption abnormality detection result of the vehicle is obtained.

[0032] In a possible implementation, obtaining the abnormal pressure-building fuel consumption detection result of the vehicle according to the maximum proportion includes:

[0033] When the maximum proportion is the first proportion, determining that the pressure-building fuel consumption abnormality detection result of the vehicle is normal;

[0034] When the maximum proportion is the second proportion, determining that the pressure-building fuel consumption abnormality detection result of the vehicle is high pressure-building fuel consumption;

[0035] When the maximum proportion is the third proportion, it is determined that the pressure-building fuel consumption abnormality detection result of the vehicle is that the pressure-building fuel consumption is excessively high.

[0036] On the other hand, the present invention also provides a vehicle pressure build-up fuel consumption abnormality detection device, comprising:

[0037] A data acquisition module, used to acquire historical driving data of the vehicle within a preset time, and obtain at least one single pressure-building fuel consumption according to the historical driving data;

[0038] A proportion calculation module, used to determine the graded proportion of the pressure building fuel consumption within the preset time based on the at least one single pressure building fuel consumption;

[0039] The result detection module is used to obtain the abnormal pressure-building fuel consumption detection result of the vehicle according to the pressure-building fuel consumption classification proportion.

[0040] The beneficial effects of the present invention are to obtain the historical driving data of the vehicle within a preset time, and obtain at least one single pressure-building fuel consumption of the vehicle based on the historical driving data; determine the graded proportion of pressure-building fuel consumption within the preset time based on at least one single pressure-building fuel consumption; and obtain the abnormal pressure-building fuel consumption detection result of the vehicle based on the graded proportion of pressure-building fuel consumption. The present invention can obtain at least one single pressure-building fuel consumption of the vehicle based on the historical driving data, so as to obtain the graded proportion of pressure-building fuel consumption of the vehicle within the preset time, and thus obtain the abnormal pressure-building fuel consumption detection result of the vehicle based on the graded proportion of pressure-building fuel consumption, and thus determine whether the fuel consumption state of the vehicle is abnormal based on the abnormal pressure-building fuel consumption detection result, so that the driver can inspect the vehicle based on the abnormal pressure-building fuel consumption detection result, thereby reducing the fuel consumption of the vehicle and solving the technical problem of high fuel consumption of the vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 A schematic flow chart of an embodiment of a method for detecting abnormal fuel consumption when building up pressure in a vehicle provided by the present invention;

[0042] Figure 2 A schematic structural diagram of an embodiment of the automobile fuel system provided by the present invention;

[0043] Figure 3 A schematic diagram of a flow chart of an embodiment of determining a pressure building starting point and a pressure building ending point provided by the present invention;

[0044] Figure 4 For the present invention Figure 1 A schematic flow chart of an embodiment of step S102;

[0045] Figure 5 A schematic diagram of a flow chart of an embodiment of determining a pressure build-up fuel consumption abnormality detection result provided by the present invention;

[0046] Figure 6 A schematic diagram of the structure of an embodiment of a vehicle pressure build-up fuel consumption abnormality detection device provided by the present invention;

[0047] Figure 7 A schematic structural diagram of an embodiment of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0048] 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.

[0049] like Figure 1 As shown, a specific embodiment of the present invention discloses a method for detecting abnormal fuel consumption during vehicle pressure buildup, comprising:

[0050] S101, obtaining historical driving data of a vehicle within a preset time, and obtaining at least one single pressure building fuel consumption according to the historical driving data;

[0051] S102, determining a graded proportion of pressure building fuel consumption within a preset time based on at least one single pressure building fuel consumption;

[0052] S103: Obtaining a pressure-building fuel consumption abnormality detection result of the vehicle according to the pressure-building fuel consumption classification ratio.

[0053] The embodiments of the present invention can be applied to automobile fuel systems, such as Figure 2 As shown, the automobile fuel system may include a controller, a vehicle-mounted T-BOX, a cloud platform, a mobile phone and other devices. The driving status data of the vehicle can be obtained through the controller, and the specific acquisition method is not limited in the embodiment of the present invention. The controller can also calculate the driving status data (GPS time, front circuit air pressure, rear circuit air pressure, fuel consumption and other data) in the historical driving data of the vehicle, and then send the driving status data to the vehicle-mounted T-BOX. The vehicle-mounted T-BOX can store the driving status data of each preset time, so as to obtain the historical driving data, and then upload the historical driving data to the cloud platform. The cloud platform can calculate the fuel consumption generated by the vehicle during the brake pressure building process through the uploaded historical driving data, and calculate the impact of the vehicle pressure building fuel consumption on the vehicle fuel consumption economy according to the pressure building fuel consumption classification of different models, and push the vehicle with continuous medium abnormal fuel consumption through the mobile phone APP to remind the driver that the current vehicle pressure building fuel consumption is high, and choose a suitable time and place to perform brake system maintenance before the pressure building fuel consumption is close to being too high, so as to avoid the increase of vehicle fuel consumption due to untimely maintenance. If the vehicle continues to have extremely high fuel consumption due to pressure buildup, the cloud platform will proactively remind the driver to enter the station for maintenance as soon as possible.

[0054] Compared with the prior art, the present embodiment provides the method of obtaining the historical driving data of the vehicle within a preset time, obtaining at least one single pressure-building fuel consumption of the vehicle based on the historical driving data; determining the graded proportion of the pressure-building fuel consumption within the preset time based on at least one single pressure-building fuel consumption; and obtaining the abnormal pressure-building fuel consumption detection result of the vehicle based on the graded proportion of the pressure-building fuel consumption. The present invention can obtain at least one single pressure-building fuel consumption of the vehicle based on the historical driving data, thereby obtaining the graded proportion of the pressure-building fuel consumption of the vehicle within the preset time, thereby obtaining the abnormal pressure-building fuel consumption detection result of the vehicle based on the graded proportion of the pressure-building fuel consumption, thereby determining whether the fuel consumption state of the vehicle is abnormal based on the abnormal pressure-building fuel consumption detection result, so that the driver can inspect the vehicle based on the abnormal pressure-building fuel consumption detection result, thereby reducing the fuel consumption of the vehicle and solving the technical problem of high fuel consumption of the vehicle.

[0055] It should be noted that: in order to detect the fuel consumption of the vehicle, in some embodiments of the present invention, the historical driving data includes fuel consumption and vehicle brake pressure, and step S101 includes:

[0056] Processing two adjacent vehicle brake air pressures in the historical driving data according to a preset time to obtain at least one pressure building starting point and at least one pressure building ending point;

[0057] The fuel consumption is processed based on at least one pressure building starting point and at least one pressure building ending point to obtain at least one single pressure building fuel consumption of the vehicle.

[0058] In a specific embodiment of the present invention, the historical driving data may include fuel consumption and vehicle brake pressure, wherein the vehicle brake pressure may include front circuit brake pressure and rear circuit brake pressure, and the embodiment of the present invention uniformly uses vehicle brake pressure to represent. The present invention may process two adjacent vehicle brake pressures in the historical driving data according to a preset time, thereby obtaining at least one pressure building start point and at least one pressure building end point, thereby obtaining at least one single pressure building fuel consumption of the vehicle according to the fuel consumption between the pressure building start point and the pressure building end point, for example, if there are 100 vehicle brake pressures, 50 points may be obtained by processing two adjacent vehicle brake pressures, and the 50 points may include at least one pressure building start point and at least one pressure building end point, and a single pressure building fuel consumption may be obtained according to the two adjacent pressure building start points and the pressure building end points, and at least one single pressure building fuel consumption may be obtained according to the 50 points.

[0059] In some embodiments of the present invention, Figure 3 As shown, two adjacent vehicle brake air pressures in the historical driving data are processed according to a preset time to obtain at least one pressure building starting point and at least one pressure building ending point, including:

[0060] S301, calculating the brake air pressures of two adjacent vehicles in the historical driving data according to a preset time to obtain an air pressure difference;

[0061] S302, determining a preset time corresponding to the brake air pressure at which the air pressure difference is greater than a preset first air pressure threshold as a pressure building starting point;

[0062] S303: Determine the preset time corresponding to the brake air pressure when the air pressure difference is less than the preset second air pressure threshold as the pressure building end point.

[0063] In a specific embodiment of the present invention, the air pressure difference between two adjacent vehicle brake pressures can be calculated according to the order of preset time. For example, the first vehicle air pressure: df[i-2][servicepressure] and the second vehicle air pressure: df[i-3][servicepressure], then the air pressure difference between the upper and lower lines can be Pdiff=df[i-2][servicepressure]-df[i-3][servicepressure], so that the air pressure difference between every two vehicle brake pressures can be obtained, and then all air pressure differences can be judged, and the brake air pressure with an air pressure difference greater than the preset first air pressure threshold can be determined as the point where the vehicle air pressure is about to rise, wherein the first air pressure threshold can be 50, that is, Pdiff﹥50, so that the preset time corresponding to the second vehicle air pressure df[i-3][servicepressure] corresponding to the air pressure difference can be determined as the pressure building starting point T1; similarly, for example, the third vehicle air pressure: df[i][servicepressure] and the fourth vehicle air pressure: df[i-1][servicepressure], then the upper and lower lines can be The pressure difference of the two bars is Pdiff=df[i][servicepressure]-df[i-1][servicepressure], so the pressure difference of the brake pressure of each two vehicles can be obtained, and then all the pressure differences can be judged, and the brake pressure with a pressure difference less than the preset second pressure threshold can be determined as the vehicle's pressure building point is about to end, wherein the second pressure threshold can be -50, that is, Pdiff﹤-50, so the fourth vehicle pressure df[i-1][s The preset time corresponding to the pressure buildup pressure] is determined as the pressure buildup end point T2, wherein the pressure buildup starting point T1 and the pressure buildup end point T2 are adjacent braking air pressure times. For example, if other air pressure differences between the pressure buildup starting point T1 and the pressure buildup end point T2 do not meet the judgment conditions of the preset first air pressure threshold and the preset second air pressure threshold, then there is no other pressure buildup starting point or pressure buildup end point between the pressure buildup starting point T1 and the pressure buildup end point T2, then the pressure buildup starting point T1 and the pressure buildup end point T2 are adjacent braking air pressure times, and the pressure buildup starting point T1 comes first, and then the pressure buildup end point T2.

[0064] Furthermore, after obtaining the pressure building starting point T1 and the pressure building end point T2, the fuel consumption rate or instantaneous fuel consumption value between the pressure building starting point T1 and the pressure building end point T2 can be calculated, that is, the single pressure building fuel consumption of the vehicle. The specific calculation process can be set according to actual conditions, and the embodiment of the present invention is not limited here. For example, Fuel1=df[T1-T2][fuel].sum, then the single pressure building fuel consumption Fuel1 of the pressure building starting point T1 and the pressure building end point T2 is obtained.

[0065] In some embodiments of the present invention, step S102 includes:

[0066] According to at least one single pressure building fuel consumption, daily pressure building fuel consumption is obtained;

[0067] The daily pressure building fuel consumption is analyzed according to the preset fuel consumption abnormal classification threshold table to obtain the pressure building fuel consumption classification proportion.

[0068] In a specific embodiment of the present invention, at least one single pressure building fuel consumption within a preset time can be classified and processed according to the 24 hours of a day, so as to obtain the daily pressure building fuel consumption. For example, if the preset time is 1 month, the daily pressure building fuel consumption corresponding to each day of 30 days can be obtained, so as to analyze the daily pressure building fuel consumption according to the preset fuel consumption abnormal classification threshold table to obtain the pressure building fuel consumption classification proportion, wherein the preset fuel consumption abnormal classification threshold table can be set according to actual conditions, and the embodiment of the present invention is not limited here.

[0069] In some embodiments of the present invention, obtaining the daily pressure building fuel consumption according to at least one single pressure building fuel consumption includes:

[0070] Processing at least one single pressure build-up fuel consumption based on a preset time to determine all single pressure build-up fuel consumptions per day;

[0071] The daily pressure-building fuel consumption corresponding to each day is obtained based on the average value of all single pressure-building fuel consumptions.

[0072] In a specific embodiment of the present invention, the fuel consumption of all single pressure building times of each day can be determined according to a preset time. For example, the fuel consumption of all single pressure building times of the same day can be determined according to a preset time of the day, and the fuel consumption value of the data segment of each pressure building process can be screened:

[0073] df[T1-T2]=df betewwn df[T1]and df[T2]

[0074] -Calculate the fuel consumption of a single pressure buildup by cyclic summation:

[0075] Fuel1=df[T1-T2][fuel].sum

[0076] Fuel2 = df[T1-T2][fuel].sum ......

[0077] Fueln=df[T1-T2][fuel].sum

[0078] Calculate the vehicle's daily fuel consumption:

[0079] Fuel_daily=Fuel1+Fuel2+......+Fueln.

[0080] Then the average value of the pressure-building fuel consumption for one day can be calculated, thereby obtaining the daily pressure-building fuel consumption.

[0081] In some embodiments of the present invention, Figure 4 As shown, step S102 includes:

[0082] S401, determining a first threshold and a second threshold in a preset fuel consumption abnormality classification threshold table according to the vehicle type;

[0083] S402, classifying the daily pressure building fuel consumption according to the preset time to obtain the pressure building fuel consumption for the week;

[0084] S403: Obtain the pressure building fuel consumption classification proportion according to the first threshold, the second threshold and the pressure building fuel consumption of the week.

[0085] In a specific embodiment of the present invention, the preset fuel consumption abnormality classification threshold table is shown in the following table:

[0086] Table 1. Preset fuel consumption abnormality classification thresholds for different models

[0087]

[0088] Among them, the first threshold and the second threshold corresponding to each vehicle model can be set according to actual conditions, and the embodiment of the present invention is not limited here.

[0089] You can also classify the daily fuel consumption according to the preset time. For example, the fuel consumption from Monday to Sunday can be used to get the fuel consumption for the current week. The fuel consumption for the current week is shown in the following table:

[0090] Table 2. Example data of daily pressure-building fuel consumption for the week

[0091]

[0092] Therefore, the corresponding first threshold and second threshold can be found in the preset fuel consumption abnormality classification threshold table according to the vehicle model, and then the pressure building fuel consumption of the week can be analyzed according to the first threshold and the second threshold to obtain the pressure building fuel consumption classification proportion.

[0093] In some embodiments of the present invention, the pressure building fuel consumption classification ratio is obtained according to the first threshold, the second threshold and the pressure building fuel consumption of the week, including:

[0094] The pressure building fuel consumption of the week is analyzed to obtain a graded proportion of the pressure building fuel consumption, which includes a first proportion less than a first threshold, a second proportion between the first threshold and the second threshold, and a third proportion greater than the second threshold.

[0095] In a specific embodiment of the present invention, the daily pressure building fuel consumption in Table 2 can be analyzed and calculated by the following method:

[0096] <The first threshold L1 ratio: L (the fuel consumption of pressure building on the day <= L1 threshold) / 7*100;

[0097] The ratio of the first threshold L1 to the second threshold L2 is: L(L1 threshold pressure difference < pressure building fuel consumption <= L2 threshold) / 7*100;

[0098] >The second threshold L2 ratio: L(pressure building fuel consumption>L2 threshold) / 7*100;

[0099] Therefore, the first proportion, the second proportion and the third proportion can be calculated by the above methods, and the calculation results are shown in the following table:

[0100] Table 3. Example data of vehicle fuel consumption classification ratio in the week

[0101]

[0102] In some embodiments of the present invention, step S103 includes:

[0103] Compare the first proportion, the second proportion and the third proportion to obtain the maximum proportion;

[0104] According to the maximum proportion, the abnormal pressure-building fuel consumption detection result of the vehicle is obtained.

[0105] In a specific embodiment of the present invention, after calculating the first proportion, the second proportion and the third proportion, a comparative analysis can be performed on the first proportion, the second proportion and the third proportion to determine the maximum proportion among the first proportion, the second proportion and the third proportion, and then the vehicle's pressure buildup fuel consumption abnormality detection result can be determined based on the maximum proportion.

[0106] In some embodiments of the present invention, Figure 5 As shown, according to the maximum proportion, the abnormal pressure-building fuel consumption detection results of the vehicle are obtained, including:

[0107] S501, when the maximum proportion is the first proportion, determining that the pressure-building fuel consumption abnormality detection result of the vehicle is that the pressure-building fuel consumption is normal;

[0108] S502, when the maximum proportion is the second proportion, determining that the pressure-building fuel consumption abnormality detection result of the vehicle is that the pressure-building fuel consumption is high;

[0109] S503: When the maximum proportion is the third proportion, determine that the pressure-building fuel consumption abnormality detection result of the vehicle is excessively high pressure-building fuel consumption.

[0110] In some embodiments of the present invention, after obtaining the abnormal pressure building fuel consumption detection result of the vehicle according to the pressure building fuel consumption classification proportion of the week, the method further includes:

[0111] When the abnormal pressure-building fuel consumption detection result is that the pressure-building fuel consumption is high or the pressure-building fuel consumption is excessively high, a maintenance notification is sent to the driver of the vehicle.

[0112] In a specific embodiment of the present invention, according to the changing trend of the vehicle's weekly pressure-building fuel consumption classification proportion, an early warning of the impact of the vehicle's pressure-building fuel consumption on braking economy begins. When the maximum proportion is the first proportion, the vehicle's pressure-building fuel consumption is normal and no reminder is needed; when the maximum proportion is the second proportion, the vehicle's pressure-building fuel consumption is high, and the driver needs to be reminded to pay attention to the pressure-building fuel consumption and choose a suitable time and place to perform brake system maintenance to avoid vehicle fuel consumption problems due to untimely maintenance; when the maximum proportion is the third proportion, the vehicle's pressure-building fuel consumption is extremely high, and the cloud platform will regularly remind the driver to enter the station for maintenance as soon as possible through active services.

[0113] Furthermore, the embodiments of the present invention do not necessarily perform abnormality detection on the vehicle through the weekly pressure-built fuel consumption, but can also perform abnormality detection on a monthly basis. For example, the daily pressure-built fuel consumption in a month is first calculated, and then the weekly pressure-built fuel consumption of the month is calculated based on the daily pressure-built fuel consumption. The pressure-built fuel consumption of the month is then obtained in the same way. If it is necessary to use the year as the unit, the pressure-built fuel consumption of the year can be obtained in the same way.

[0114] In order to better implement the vehicle pressure buildup fuel consumption abnormality detection method in the embodiment of the present invention, based on the vehicle pressure buildup fuel consumption abnormality detection method, the embodiment of the present invention also provides a vehicle pressure buildup fuel consumption abnormality detection device, such as Figure 6 As shown, the vehicle pressure build-up fuel consumption abnormality detection device 600 includes:

[0115] The data acquisition module 601 is used to acquire the historical driving data of the vehicle within a preset time, and obtain at least one single pressure building fuel consumption according to the historical driving data;

[0116] A proportion calculation module 602 is used to determine the pressure building fuel consumption classification proportion within a preset time based on at least one single pressure building fuel consumption;

[0117] The result detection module 603 is used to obtain the abnormal pressure-building fuel consumption detection result of the vehicle according to the pressure-building fuel consumption classification proportion.

[0118] The vehicle pressure buildup fuel consumption abnormality detection device 600 provided in the above embodiment can implement the technical solution described in the above embodiment of the vehicle pressure buildup fuel consumption abnormality detection method. The specific implementation principles of the above modules or units can refer to the corresponding contents in the above embodiment of the vehicle pressure buildup fuel consumption abnormality detection method, which will not be repeated here.

[0119] like Figure 7 As shown, the present invention also provides an electronic device 700. The electronic device 700 includes a processor 701, a memory 702 and a display 703. Figure 7 Only some components of the electronic device 700 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.

[0120] In some embodiments, the memory 702 may be an internal storage unit of the electronic device 700, such as a hard disk or memory of the electronic device 700. In other embodiments, the memory 702 may also be an external storage device of the electronic device 700, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc., equipped on the electronic device 700.

[0121] Furthermore, the memory 702 may include both an internal storage unit of the electronic device 700 and an external storage device. The memory 702 is used to store application software installed in the electronic device 700 and various data.

[0122] In some embodiments, the processor 701 may be a central processing unit (CPU), a microprocessor or other data processing chip, which is used to run program codes or process data stored in the memory 702, such as the vehicle pressure buildup fuel consumption abnormality detection method of the present invention.

[0123] In some embodiments, the display 703 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 703 is used to display information of the electronic device 700 and to display a visual user interface. The components 701-703 of the electronic device 700 communicate with each other via a system bus.

[0124] In some embodiments of the present invention, when the processor 701 executes the vehicle pressure buildup fuel consumption abnormality detection program in the memory 702, the following steps may be implemented:

[0125] Acquire historical driving data of the vehicle within a preset time, and obtain at least one single pressure-building fuel consumption according to the historical driving data;

[0126] Determining a graded proportion of pressure building fuel consumption within a preset time based on at least one single pressure building fuel consumption;

[0127] According to the pressure-building fuel consumption classification ratio, the vehicle's pressure-building fuel consumption abnormality detection result is obtained.

[0128] It should be understood that: when the processor 701 executes the vehicle pressure buildup fuel consumption abnormality detection program in the memory 702, in addition to the above functions, other functions can also be implemented. For details, please refer to the description of the corresponding method embodiment above.

[0129] Furthermore, the embodiment of the present invention does not specifically limit the type of the electronic device 700 mentioned, and the electronic device 700 may be a portable electronic device such as a mobile phone, a tablet computer, a personal digital assistant (PDA), a wearable device, a laptop computer, etc. Exemplary embodiments of portable electronic devices include but are not limited to portable electronic devices equipped with IOS, Android, Microsoft or other operating systems. The above-mentioned portable electronic devices may also be other portable electronic devices, such as a laptop computer with a touch-sensitive surface (e.g., a touch panel). It should also be understood that in some other embodiments of the present invention, the electronic device 700 may not be a portable electronic device, but a desktop computer with a touch-sensitive surface (e.g., a touch panel).

[0130] Accordingly, an embodiment of the present application also provides a computer-readable storage medium, which is used to store computer-readable programs or instructions. When the program or instructions are executed by a processor, the vehicle pressure buildup fuel consumption abnormality detection method steps or functions provided in the above-mentioned method embodiments can be implemented.

[0131] 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 (such as a processor, a controller, etc.) through a computer program, and the computer 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.

[0132] The above is a detailed introduction to the vehicle pressure buildup fuel consumption abnormal detection method and device provided by the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for technical personnel in this field, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A method for detecting abnormal fuel consumption during vehicle pressure buildup, characterized in that: include: Acquire historical driving data of the vehicle within a preset time, and obtain at least one single pressure-building fuel consumption according to the historical driving data; Determining a graded proportion of the pressure building fuel consumption within the preset time based on the at least one single pressure building fuel consumption; Obtaining a pressure-building fuel consumption abnormality detection result of the vehicle according to the pressure-building fuel consumption classification proportion; The historical driving data includes fuel consumption and vehicle brake pressure, and obtaining at least one single pressure-building fuel consumption according to the historical driving data includes: Processing two adjacent vehicle brake air pressures in the historical driving data according to the preset time to obtain at least one pressure building starting point and at least one pressure building ending point; The fuel consumption is processed based on the at least one pressure build-up starting point and the at least one pressure build-up ending point to obtain at least one single pressure build-up fuel consumption of the vehicle.

2. The vehicle pressure build-up fuel consumption abnormality detection method according to claim 1, characterized in that: The step of processing two adjacent vehicle brake air pressures in the historical driving data according to the preset time to obtain at least one pressure building starting point and at least one pressure building ending point includes: Calculating the brake air pressures of two adjacent vehicles in the historical driving data according to the preset time to obtain an air pressure difference; Determining a preset time corresponding to the brake air pressure at which the air pressure difference is greater than a preset first air pressure threshold as a pressure building starting point; The preset time corresponding to the brake air pressure when the air pressure difference is less than the preset second air pressure threshold is determined as the pressure building end point.

3. The vehicle pressure build-up fuel consumption abnormality detection method according to claim 1, characterized in that: The determining the pressure building fuel consumption classification ratio within the preset time based on the at least one single pressure building fuel consumption includes: Obtaining daily pressure building fuel consumption according to the at least one single pressure building fuel consumption; The daily pressure building fuel consumption is analyzed according to a preset fuel consumption abnormality classification threshold table to obtain a pressure building fuel consumption classification ratio.

4. The vehicle pressure build-up fuel consumption abnormality detection method according to claim 3, characterized in that: The obtaining of the daily pressure building fuel consumption according to the at least one single pressure building fuel consumption comprises: Processing the at least one single pressure-building fuel consumption based on the preset time to determine all single pressure-building fuel consumptions per day; The daily pressure building fuel consumption corresponding to each day is obtained according to the average value of all the single pressure building fuel consumptions.

5. The vehicle pressure build-up fuel consumption abnormality detection method according to claim 4, characterized in that: The daily pressure building fuel consumption is analyzed according to the preset fuel consumption abnormality classification threshold table to obtain the pressure building fuel consumption classification ratio, including: Determining a first threshold and a second threshold in the preset fuel consumption abnormality classification threshold table according to the vehicle type of the vehicle; Classify the daily pressure-building fuel consumption according to the preset time to obtain the pressure-building fuel consumption for the week; The pressure building fuel consumption classification ratio is obtained according to the first threshold, the second threshold and the pressure building fuel consumption of the week.

6. The vehicle pressure build-up fuel consumption abnormality detection method according to claim 5, characterized in that: The step of obtaining the pressure building fuel consumption classification ratio according to the first threshold, the second threshold and the pressure building fuel consumption in the current week includes: The pressure building fuel consumption of the week is analyzed to obtain a graded proportion of the pressure building fuel consumption, where the graded proportion of the pressure building fuel consumption includes a first proportion that is less than the first threshold, a second proportion that is between the first threshold and the second threshold, and a third proportion that is greater than the second threshold.

7. The vehicle pressure build-up fuel consumption abnormality detection method according to claim 6, characterized in that: The abnormal pressure building fuel consumption detection result of the vehicle is obtained according to the pressure building fuel consumption classification proportion, including: Compare the first proportion, the second proportion and the third proportion to obtain a maximum proportion; According to the maximum proportion, a pressure-building fuel consumption abnormality detection result of the vehicle is obtained.

8. The vehicle pressure build-up fuel consumption abnormality detection method according to claim 7, characterized in that: The step of obtaining the abnormal pressure-building fuel consumption detection result of the vehicle according to the maximum proportion includes: When the maximum proportion is the first proportion, determining that the pressure-building fuel consumption abnormality detection result of the vehicle is normal; When the maximum proportion is the second proportion, determining that the pressure-building fuel consumption abnormality detection result of the vehicle is high pressure-building fuel consumption; When the maximum proportion is the third proportion, it is determined that the pressure-building fuel consumption abnormality detection result of the vehicle is that the pressure-building fuel consumption is excessively high.

9. A vehicle pressure build-up fuel consumption abnormality detection device, characterized in that: include: A data acquisition module, used to acquire historical driving data of the vehicle within a preset time, and obtain at least one single pressure-building fuel consumption according to the historical driving data; A proportion calculation module, used to determine the graded proportion of the pressure building fuel consumption within the preset time based on the at least one single pressure building fuel consumption; A result detection module, used for obtaining a pressure-building fuel consumption abnormality detection result of the vehicle according to the pressure-building fuel consumption classification proportion; The historical driving data includes fuel consumption and vehicle brake pressure, and the data acquisition module is further used to process two adjacent vehicle brake pressures in the historical driving data according to the preset time to obtain at least one pressure building starting point and at least one pressure building ending point; The fuel consumption is processed based on the at least one pressure build-up starting point and the at least one pressure build-up ending point to obtain at least one single pressure build-up fuel consumption of the vehicle.

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