Engine oil emulsification evaluation method and device and electronic equipment

Abstract

The invention relates to the technical field of vehicles, in particular to an engine oil emulsification evaluation method and device and electronic equipment. The method comprises the following steps: acquiring Internet of Vehicles data reported by a target vehicle within a preset time; screening the target vehicle based on the use record to obtain a screened vehicle; executing the following operations on each screened vehicle: determining the engine oil increment of the screened vehicle based on the target parameter set of the screened vehicle; and based on the engine oil increment, determining an evaluation result of engine oil emulsification of the screened vehicle.

Description

Technical Field

[0001] The present disclosure relates to the field of vehicle technology, and in particular to an evaluation method, device and electronic equipment for engine oil emulsification. Background Art

[0002] Oil emulsification refers to the phenomenon that the exhaust gas produced in the combustion chamber is humid due to long-term low load of the engine, and condensed water enters the engine oil after the exhaust gas cools down. Oil emulsification can cause abnormal engine wear, cylinder scuffing and other major reliability failures.

[0003] Therefore, how to detect whether the vehicle has oil emulsification has become a problem that needs to be solved urgently. Summary of the invention

[0004] In order to solve the above technical problems, the present disclosure provides an oil emulsification evaluation method, device and electronic device for solving the problem of how to detect whether there is oil emulsification in a vehicle.

[0005] In a first aspect, the present application provides an evaluation method for oil emulsification, comprising: obtaining Internet of Vehicles data reported by a target vehicle within a preset time; wherein the Internet of Vehicles data comprises: at least one usage record of the engine, the usage record comprising at least one uploaded data reported after the vehicle's engine is started to when the engine is shut down, the uploaded data comprising a target parameter set corresponding to when the engine is used, the target parameter set comprising at least one operating parameter and an environmental parameter corresponding to the operating parameter; screening the target vehicles based on the usage record to obtain screened vehicles; performing the following operations on each screened vehicle: determining the oil increment of the screened vehicle based on the target parameter set of the screened vehicle; and determining an evaluation result of oil emulsification of the screened vehicle based on the oil increment.

[0006] In some feasible examples, determining the oil increment of the filtered vehicle based on a target parameter set for the filtered vehicle includes: determining the total number of usage records contained in each trip classification based on one or more of the operating parameters and environmental parameters in the target parameter set for the filtered vehicle; wherein the trip classification includes one or more of a trip that intensifies oil emulsification, a trip that slows down oil emulsification, a trip that slows down oil emulsification, and a trip that has no effect on oil emulsification; determining the oil emulsification amount based on the total number; and determining the oil increment based on the oil emulsification amount.

[0007] In some implementable examples, the target parameter set includes operating parameters and environmental parameters, the operating parameters include the actual engine speed and the engine coolant temperature, the environmental parameters include the ambient temperature, and the trip classification includes an intensified oil emulsification trip; based on one or more of the operating parameters and environmental parameters in the target parameter set for the filtered vehicle, the total number of usage records included in each trip classification is determined, including: based on the usage records of the filtered vehicle, the total number of usage records that meet a first condition is determined; wherein the first condition includes: the ratio of the total number of uploaded data that meets the first preset condition to the total number of uploaded data included in the usage records is greater than a first threshold, or the total number of uploaded data that continuously meets the first preset condition is greater than a first number, and the first preset condition includes the actual speed in the target parameter set for the filtered vehicle being greater than a first speed, and the coolant temperature being less than a first temperature, and the ambient temperature being less than a second temperature; the total number of usage records that meet the first condition is used as the total number of usage records included in the trip classification as an intensified oil emulsification trip.

[0008] In some implementable examples, the target parameter set includes operating parameters and environmental parameters, the operating parameters include the actual engine speed, the environmental parameters include the ambient temperature, and the trip classification includes a trip for slowing down oil emulsification; based on one or more of the operating parameters and environmental parameters in the target parameter set for screening the vehicle, the total number of usage records included in each trip classification is determined, including: based on the usage records of the screened vehicle, the total number of usage records that meet the second condition is determined; wherein the second condition includes: the ratio of the total number of uploaded data that meets the second preset condition to the total number of uploaded data included in the usage records is greater than a second threshold, or the total number of uploaded data that continuously meets the second preset condition is greater than a second number, and the second preset condition includes the actual speed in the target parameter set for screening the vehicle being greater than the first speed, and the ambient temperature being greater than a third temperature; the total number of usage records that meet the second condition is used as the total number of usage records included in the trip classification as a trip for slowing down oil emulsification.

[0009] In some feasible examples, the target parameter set includes operating parameters, the operating parameters include the actual engine speed and the engine coolant temperature, and the trip classification includes a trip for slowing down oil emulsification; based on one or more of the operating parameters and environmental parameters in the target parameter set for screening the vehicle, the total number of usage records included in each trip classification is determined, including: based on the usage records of the screened vehicle, the total number of usage records that meet a third condition is determined; wherein the third condition includes: the ratio of the total number of uploaded data that meets the third preset condition to the total number of uploaded data included in the usage records is greater than a third threshold, or the total number of uploaded data that continuously meets the third preset condition is greater than a third number, and the third preset condition includes that the actual speed in the target parameter set for screening the vehicle is greater than the first speed, and the coolant temperature is greater than a fourth temperature; the total number of usage records that meet the third condition is used as the total number of usage records included in the trip classification as a trip for slowing down oil emulsification.

[0010] In some feasible examples, the target parameter set includes operating parameters and environmental parameters, the operating parameters include the actual engine speed and the engine coolant temperature, the environmental parameters include the ambient temperature, and the trip classification includes trips that have no effect on oil emulsification; based on one or more of the operating parameters and environmental parameters in the target parameter set of the filtered vehicle, the total number of usage records included in each trip classification is determined, including: based on the usage records of the filtered vehicle, the total number of usage records that do not meet the first condition, the second condition, and the third condition are determined; the total number of usage records that do not meet the first condition, the second condition, and the third condition are classified as the total number of usage records included in the trip that has no effect on oil emulsification.

[0011] In some feasible examples, the amount of oil emulsification is determined based on the total number, including: obtaining an actual total based on the sum of the products of the total number of usage records contained in each trip classification and the weight value corresponding to the trip classification; and using the actual total as the amount of oil emulsification.

[0012] In some feasible examples, determining the oil increment based on the oil emulsification amount includes: substituting the oil emulsification amount into an increment formula to obtain the oil increment; wherein the increment formula includes:

[0013] y=ax 2 +bx+c;

[0014] Among them, a, b, and c are fitting parameters, x represents the amount of oil emulsification, and y represents the oil increment.

[0015] In a second aspect, the present application provides an evaluation device for oil emulsification, comprising: an acquisition module, used to acquire vehicle networking data reported by a target vehicle within a preset time; wherein the vehicle networking data includes: at least one usage record of the engine, the usage record includes at least one uploaded data reported after the vehicle's engine is started to when the engine is shut down, the uploaded data includes a target parameter set corresponding to when the engine is used, the target parameter set includes at least one operating parameter and an environmental parameter corresponding to the operating parameter; a processing module, used to screen the target vehicles based on the usage records acquired by the acquisition module to obtain screened vehicles; the processing module is also used to perform the following operations on each screened vehicle: based on the target parameter set of the screened vehicle, determine the oil increment of the screened vehicle; the processing module is also used to determine the evaluation result of oil emulsification of the screened vehicle based on the oil increment.

[0016] In a third aspect, the present application provides an electronic device, comprising: a memory and a processor, wherein the memory is used to store a computer program; and the processor is used to enable the electronic device to implement the above method when executing the computer program.

[0017] In a fourth aspect, the present application provides a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the above method.

[0018] Compared with the prior art, the technical solution provided by the present invention has the following advantages:

[0019] The method for evaluating oil emulsification provided by the present disclosure obtains the Internet of Vehicles data reported by the target vehicle within a preset time, so that at least one usage record of the engine of the target vehicle can be determined based on the Internet of Vehicles data; then, the target vehicle is screened based on the usage record to obtain screened vehicles; thus, vehicles that may have oil emulsification can be determined. Then, the following operations are performed on each screened vehicle: based on the target parameter set of the screened vehicle, the oil increment of the screened vehicle is determined. Since the oil of the vehicle with oil emulsification will increase due to the mixing of water vapor, the evaluation result of the oil emulsification of the screened vehicle can be determined based on the oil increment. Finally, the user can determine whether the vehicle has oil emulsification based on the evaluation result. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0021] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0022] Figure 1 exemplarily shows one of the flow diagrams of a method for evaluating engine oil emulsification provided in the first embodiment;

[0023] Figure 2 2 is a flow chart of a method for evaluating the emulsification of engine oil provided in the first embodiment;

[0024] Figure 3 Schematic diagram 3 of a flow chart of a method for evaluating the emulsification of engine oil provided in the first embodiment is shown as an example;

[0025] Figure 4 FIG4 is a flow chart of a method for evaluating the emulsification of a motor oil provided in the first embodiment;

[0026] Figure 5 Schematic diagram 5 of a flow chart of a method for evaluating the emulsification of engine oil provided in the first embodiment is shown as an example;

[0027] Figure 6 6 is a flow chart of a method for evaluating the emulsification of engine oil provided in the first embodiment;

[0028] Figure 7 Schematic diagram 7 of a method for evaluating the emulsification of engine oil provided in the first embodiment is shown in the figure;

[0029] Figure 8 FIG. 8 exemplarily shows a flow chart of an evaluation method for engine oil emulsification provided in the first embodiment;

[0030] Fig. 9 Schematic diagram of the structure of the evaluation device for engine oil emulsification provided in the second embodiment is shown in FIG.

[0031] Fig.10 A structural diagram of an electronic device provided in the second embodiment is exemplarily shown in FIG. DETAILED DESCRIPTION

[0032] In order to more clearly understand the above-mentioned objectives, features and advantages of the present disclosure, the scheme of the present disclosure will be further described below. It should be noted that the embodiments of the present disclosure and the features in the embodiments can be combined with each other without conflict.

[0033] In the following description, many specific details are set forth to facilitate a full understanding of the present disclosure, but the present disclosure may also be implemented in other ways different from those described herein; it is obvious that the embodiments in the specification are only part of the embodiments of the present disclosure, rather than all of the embodiments.

[0034] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0035] Embodiment 1

[0036] Figure 1 A schematic diagram of a method for evaluating the emulsification of engine oil is shown in FIG. 1 . The execution subject of this example may be an electronic device, such as Figure 1 As shown, the method includes:

[0037] S11, obtaining the Internet of Vehicles data reported by the target vehicle within a preset time. The Internet of Vehicles data includes: at least one usage record of the engine, the usage record includes at least one uploaded data reported after the vehicle engine is started to when the engine is turned off, the uploaded data includes a target parameter set corresponding to the use of the engine, and the target parameter set includes at least one operating parameter and an environmental parameter corresponding to the operating parameter.

[0038] In some examples, the preset time may be 1 month.

[0039] In some examples, the usage record records the mileage corresponding to the target vehicle's engine start to the engine shutdown, such as: at 11:07:56 on November 8, 2024, the vehicle's engine is started, and at 12:07:56 on November 8, 2024, the vehicle's engine is shut down, at which time a usage record is formed.

[0040] In some examples, the process of determining the time when the engine is on and the time when the engine is off in a usage record is as follows:

[0041] The vehicle usage mode is divided into five modes: abandon, inactive, convenience, active, and driving, which respectively represent: abandon: the final standby model. After the engine is turned off or the vehicle is locked, only the control module component of the check alarm function is awakened, and the network is disconnected. At this time, the vehicle usage mode = 0; ②, inactive: "normal" standby mode. It is allowed to enable functions that need to run, such as fans of cooling components. At this time, the vehicle usage mode = 1; ③, convenience: most functions are available except for seat heating, electric heated steering wheels, and exterior lighting functions such as headlights. At this time, the vehicle usage mode = 2; ④, active: all networks are available. Most functions are enabled, except for the power transmission components of the engine and gearbox. At this time, the vehicle usage mode = 11; ⑤, driving: the powertrain is in a driving-ready state. All functions are available. At this time, the vehicle usage mode = 13. According to the state of the vehicle's usage mode, the vehicle's driving cycle can be defined to obtain the vehicle's driving start time and driving end time and mileage. The present invention defines the driving cycle as:

[0042] The vehicle usage pattern "0-13-0" is a driving cycle, in which the last time 0 appears during the vehicle state change is the driving start time, and there may be states 1, 2, 11, and 13 in the process of changing from 0 to 13. There may be states 1, 2, 11, and 13 in the process of changing from 13 to 0. The first 0 that appears is the driving end time.

[0043] Exemplarily, the 30-day Internet of Vehicles data reported by the target vehicle is shown in Table 1.

[0044] Table 1

[0045]

[0046] According to the definition of driving cycle and combined with the representation, the detailed data of vehicle driving cycle as shown in Table 2 is obtained.

[0047] Table 2

[0048]

[0049] In this way, the time when the engine is started (ie, the driving start time in Table 2) and the time when the engine is shut down (ie, the driving end time) in a usage record are obtained.

[0050] In some examples, the usage log includes at least one set of uploaded data, each set of uploaded data including at least an actual engine speed, an ambient temperature, and a coolant temperature of a coolant of the engine.

[0051] In some examples, the ambient temperature may be obtained by a first temperature acquisition device disposed in the vehicle. Exemplarily, the first temperature acquisition device may be a temperature sensor.

[0052] In some examples, the coolant temperature can be obtained by a second temperature acquisition device disposed in the coolant. Exemplarily, the second temperature acquisition device can be a temperature sensor.

[0053] In some examples, the vehicle may periodically record the actual engine speed, ambient temperature, and coolant temperature of the engine coolant to form a set of uploaded data.

[0054] Exemplarily, the vehicle records the actual engine speed, ambient temperature, and coolant temperature of the engine coolant every 1 minute, thereby forming a set of uploaded data.

[0055] S12. Filter target vehicles based on usage records to obtain filtered vehicles.

[0056] In some examples, the screening vehicle is any one of the target vehicles.

[0057] In some examples, when screening target vehicles based on usage records, the usage records corresponding to all target vehicles can be input into the screening model for screening to determine the target vehicles for screening. The training process of the screening module is as follows:

[0058] First training sample data and a first marking result of the first training sample data are obtained; wherein the first training sample data includes a usage record of at least one historical vehicle, and the first marking result includes whether the historical vehicle is a screened vehicle.

[0059] The first training sample data is input into the first neural network model for learning, and a first prediction result of the first neural network model on the first training sample data is obtained.

[0060] Based on the first prediction result and the first labeling result, the network parameters of the first neural network model are adjusted until the first neural network model converges to obtain a screening model.

[0061] In some examples, when screening target vehicles based on usage records, the target vehicles can be screened based on the mileage in the usage records to obtain screened vehicles. For example, all the mileage of the target vehicle in the Internet of Vehicles data is input into the vehicle screening model to determine whether the target vehicle is a screened vehicle. The training process of the vehicle screening model includes:

[0062] The second training sample data and the second marking result of the second training sample data are obtained, wherein the second training sample data includes at least one historical vehicle Internet of Vehicles data in each historical time, and the second marking result includes whether the historical vehicle is a screening vehicle.

[0063] The second training sample data is input into the second neural network model for learning, and a second prediction result of the second neural network model for the third training sample data is obtained.

[0064] Based on the second prediction result and the second labeling result, the network parameters of the second neural network model are adjusted until the second neural network model converges to obtain a vehicle screening model.

[0065] In some examples, when the target vehicles are screened based on the mileage, the target mileages that are less than the short mileage threshold value can be obtained. A first total mileage corresponding to the sum of all mileages and a second total mileage corresponding to the sum of all target mileages are calculated. The target vehicles are screened based on the maximum mileage, the first total mileage, and the second total mileage to obtain screened vehicles.

[0066] In some examples, the short range threshold may be 5 km.

[0067] In some examples, when target vehicles are screened based on the maximum mileage, the first total mileage, and the second total mileage, the ratio of the first total mileage to the second total mileage can be calculated. When the ratio is greater than a proportion threshold and the maximum mileage is less than the mileage threshold, the target vehicle is determined to be a screened vehicle.

[0068] In some examples, the percentage threshold may be 80% and the mileage threshold may be 30 km.

[0069] S13. Perform the following operations for each screened vehicle: determine the oil increment of the screened vehicle based on the target parameter set of the screened vehicle.

[0070] In some examples, when determining the oil increment of the screened vehicle, the target parameter set of the screened vehicle can be input into the increment model for calculation to obtain the oil increment of the screened vehicle. The training process of the increment model includes:

[0071] Obtain third training sample data and third labeling results of the third training sample data, wherein the third training sample data includes a target parameter set corresponding to historical screening vehicles, and the third labeling results include an oil increment of the screening vehicle.

[0072] The third sample data is input into the third neural network model for learning to obtain a third prediction result of the third neural network model.

[0073] Based on the third prediction result and the third labeling result, the network parameters of the third neural network model are adjusted until the third neural network model converges to obtain an incremental model.

[0074] In some examples, when determining the oil increment for a screened vehicle, the total number of usage records included in each trip classification can be determined based on one or more of the operating parameters and environmental parameters in the target parameter set for the screened vehicle; based on the total number, the oil emulsification amount can be determined; and based on the oil emulsification amount, the oil increment can be determined.

[0075] S14. Based on the oil increment, determine the evaluation result of oil emulsification occurring in the screening vehicle.

[0076] In some feasible examples, determining the evaluation result of whether the oil emulsification occurs in the screening vehicle based on the oil increment includes: when the oil increment is less than a preset increment, determining the evaluation result of whether the oil emulsification occurs in the screening vehicle is slight emulsification.

[0077] In some examples, when the oil increment is 0, the evaluation result of whether the oil emulsification occurs in the screened vehicle is determined to be non-emulsification. In some examples, the preset increment is 20%.

[0078] In some feasible examples, determining the evaluation result of whether the oil emulsification occurs in the screening vehicle based on the oil increment includes: when the oil increment is greater than or equal to a preset increment, determining the evaluation result of whether the oil emulsification occurs in the screening vehicle is severe emulsification.

[0079] In some practicable examples, determining the evaluation result of whether the oil emulsification occurs in the selected vehicle based on the oil increment includes: generating a solution based on the evaluation result. The evaluation result includes any one of slight emulsification and severe emulsification. Generating prompt information containing the solution; wherein the prompt information is used to indicate the process of solving the oil emulsification.

[0080] In some examples, when the evaluation result is unemulsification, there is no need to generate a prompt message.

[0081] In some examples, the corresponding relationship between the evaluation result and the solution is pre-stored in the memory of the electronic device, so that after obtaining the evaluation result, the electronic device can query the corresponding relationship based on the evaluation result to determine the solution corresponding to the evaluation result.

[0082] Exemplarily, the corresponding relationship is shown in Table 3.

[0083] Table 3

[0084]

[0085] It can be seen that when the evaluation result is slight emulsification, it can be seen from Table 3 that the solution corresponding to slight emulsification is: urban conditions: urban conditions: average speed A1 (such as 30km / h)-A2 (such as 40km / h), driving time greater than M (such as 50) minutes; high-speed conditions: average speed greater than A3 (such as: 80km / h), driving distance greater than L (such as: 30km).

[0086] When the evaluation result is severe emulsification, it can be seen from Table 3 that the corresponding solution for severe emulsification is to replace the engine oil and filter.

[0087] In this way, users can choose the solution based on the prompt information.

[0088] As can be seen from the above, the method for evaluating oil emulsification provided by the embodiment of the present disclosure can obtain the Internet of Vehicles data reported by the target vehicle within a preset time, so as to determine at least one usage record of the engine of the target vehicle and the target parameter set corresponding to the use of the engine based on the Internet of Vehicles data, and the target parameter set includes at least one operating parameter and the environmental parameters corresponding to the operating parameter; then, the target vehicle is screened based on the usage record to obtain the screened vehicles; thus, the vehicles that may have oil emulsification can be determined. Then, the following operation is performed on each screened vehicle: based on the target parameter set of the screened vehicle, the oil increment of the screened vehicle is determined. Since the oil of the vehicle with oil emulsification will increase due to the mixing of water vapor, the evaluation result of the oil emulsification of the screened vehicle can be determined based on the oil increment. Finally, the user can determine whether the vehicle has the phenomenon of oil emulsification based on the evaluation result.

[0089] In some possible implementation examples, combined with Figure 1 ,like Figure 2 As shown, the above S13 can be specifically implemented through the following S130-S132.

[0090] S130: Determine the total number of usage records included in each trip classification based on one or more of the operating parameters and environmental parameters in the target parameter set of the vehicle being screened, wherein the trip classification includes one or more of a trip that intensifies engine oil emulsification, a trip that slows engine oil emulsification, a trip that slows engine oil emulsification, and a trip that has no effect on engine oil emulsification.

[0091] S131. Determine the amount of engine oil emulsification based on the total number.

[0092] S132: Determine the engine oil increment based on the engine oil emulsification amount.

[0093] As can be seen from the above, the method for evaluating oil emulsification provided by the embodiment of the present disclosure can obtain the Internet of Vehicles data reported by the target vehicle within a preset time, so as to determine at least one usage record of the engine of the target vehicle and the target parameter set corresponding to the use of the engine based on the Internet of Vehicles data, and the target parameter set includes at least one operating parameter and the environmental parameter corresponding to the operating parameter; then, the target vehicle is screened based on the usage record to obtain the screened vehicle; thus, the vehicle that may have oil emulsification can be determined. Then, based on one or more of the operating parameters and environmental parameters in the target parameter set of the screened vehicle, the total number of usage records included in each trip classification is determined; based on the total number, the amount of oil emulsification is determined. Based on the amount of oil emulsification, the oil increment is determined. Since the oil of the vehicle with oil emulsification is mixed with water vapor, the oil will increase, so the evaluation result of the oil emulsification of the screened vehicle can be determined based on the oil increment. Finally, the user can determine whether the vehicle has the phenomenon of oil emulsification based on the evaluation result.

[0094] In some practicable examples, the target parameter set includes operating parameters and environmental parameters, the operating parameters include the actual engine speed and the engine coolant temperature, the environmental parameters include the ambient temperature, the trip classification includes an intensified oil emulsification trip; Figure 2 ,like Figure 3 As shown, the above S130 can be specifically implemented through the following S1300 and S1301.

[0095] S1300: Determine the total number of usage records that meet a first condition based on the usage records of the screened vehicle. The first condition includes: a ratio of a total number of uploaded data that meets a first preset condition to a total number of uploaded data included in the usage records is greater than a first threshold, or a total number of uploaded data that continuously meets the first preset condition is greater than a first number, and the first preset condition includes that an actual speed in a target parameter set of the screened vehicle is greater than a first speed, a coolant temperature is less than a first temperature, and an ambient temperature is less than a second temperature.

[0096] S1301: Classify the total number of usage records that meet the first condition as the total number of usage records included in the trip that is classified as the trip that intensifies the oil emulsification.

[0097] In some examples, the first rotation speed may be 500 r / min, the first temperature may be 70°C, the second temperature may be -10°C, the third temperature may be -10°C, and the fourth temperature may be 70°C.

[0098] Exemplarily, a usage record of the screening vehicle is shown in Table 4.

[0099] Table 4

[0100]

[0101] For example, if the first threshold is 40%, the first condition includes: the ratio of the total number of uploaded data that meets the first preset condition to the total number of uploaded data included in the usage record is greater than the first threshold, and the first preset condition is that the actual speed in the target parameter set for screening vehicles is greater than the first speed, and the coolant temperature is less than the first temperature, and the ambient temperature is less than the second temperature. At this time, if the first speed can be 500r / min, the first temperature is 70℃, and the second temperature is -10℃, then the first preset condition includes that the actual speed in the target parameter set for screening vehicles is greater than 500r / min, and the coolant temperature is less than 70℃, and the ambient temperature is less than -10℃. At this time, it can be determined that there are 3 uploaded data in Table 4 that meet the first preset condition. Since the usage record contains a total of 6 uploaded data, the ratio of the total number of uploaded data that meets the first preset condition (3) to the total number of uploaded data included in the usage record (6) is That is, 50%. Since 50% is greater than 40%, it is determined that the usage record meets the first condition. In this way, the above operation is performed on each usage record of the screened vehicle to determine the total number of usage records that meet the first condition.

[0102] As can be seen from the above, the method for evaluating oil emulsification provided by the embodiment of the present disclosure can obtain the Internet of Vehicles data reported by the target vehicle within a preset time, so as to determine at least one usage record of the engine of the target vehicle and the target parameter set corresponding to the use of the engine based on the Internet of Vehicles data, and the target parameter set includes at least one operating parameter and the environmental parameter corresponding to the operating parameter; then, the target vehicle is screened based on the usage record to obtain the screened vehicle; thus, the vehicle that may have oil emulsification can be determined. Then, based on the usage records of the screened vehicles, the total number of usage records that meet the first condition is determined. The total number of usage records that meet the first condition is used as the total number of usage records included in the trip that aggravates oil emulsification; based on the total number, the amount of oil emulsification is determined. Based on the amount of oil emulsification, the oil increment is determined. Since the oil of the vehicle with oil emulsification is mixed with water vapor, the oil will increase, so the evaluation result of the oil emulsification of the screened vehicle can be determined based on the oil increment. Finally, the user can determine whether the vehicle has the phenomenon of oil emulsification based on the evaluation result.

[0103] In some practicable examples, the target parameter set includes operating parameters and environmental parameters, the operating parameters include the actual speed of the engine, the environmental parameters include the ambient temperature, the stroke classification includes slowing down the oil emulsification stroke; Figure 2 ,like Figure 4 As shown, the above S130 can be specifically implemented through the following S1302 and S1303.

[0104] S1302, based on the usage records of the screened vehicles, determining the total number of usage records that meet the second condition; wherein the second condition includes: a ratio of the total number of uploaded data that meets the second preset condition to the total number of uploaded data included in the usage records is greater than a second threshold, or a total number of uploaded data that continuously meets the second preset condition is greater than a second number, and the second preset condition includes that an actual speed in the target parameter set of the screened vehicles is greater than a first speed, and an ambient temperature is greater than a third temperature;

[0105] S1303: Classify the total number of usage records that meet the second condition as the total number of usage records included in the oil emulsification alleviation trip.

[0106] In some examples, combined with the example given in S1301 above, such as the second threshold is 80%, the second condition includes: the ratio of the total number of uploaded data that meets the second preset condition to the total number of uploaded data contained in the usage record is greater than the second threshold, and the second preset condition includes the actual speed in the target parameter set for screening vehicles is greater than the first speed, and the ambient temperature is greater than the third temperature. At this time, if the first speed can be 500r / min, and the third temperature is -10°C, then the second preset condition includes the actual speed in the target parameter set for screening vehicles is greater than 500r / min, and the ambient temperature is greater than -10°C. At this time, it can be determined that there are 3 uploaded data in Table 4 that meet the second preset condition. Since the usage record contains a total of 6 uploaded data, the ratio of the total number of uploaded data that meets the second preset condition (3) to the total number of uploaded data contained in the usage record (6) is That is, 50%. Since 50% is less than 80%, it is determined that the usage record does not meet the second condition. In this way, the above operation is performed on each usage record of the screened vehicle to determine the total number of usage records that meet the second condition.

[0107] As can be seen from the above, the method for evaluating the emulsification of the oil provided by the embodiment of the present disclosure can obtain the Internet of Vehicles data reported by the target vehicle within a preset time, so as to determine at least one usage record of the engine of the target vehicle and the target parameter set corresponding to the use of the engine based on the Internet of Vehicles data, and the target parameter set includes at least one operating parameter and the environmental parameter corresponding to the operating parameter; then, the target vehicle is screened based on the usage record to obtain the screened vehicle; thus, the vehicle that may have the emulsified oil can be determined. Then, based on the usage record of the screened vehicle, the total number of usage records that meet the second condition is determined; the total number of usage records that meet the second condition is used as the total number of usage records included in the trip that slows down the emulsification of the oil; based on the total number, the amount of emulsified oil is determined. Based on the amount of emulsified oil, the oil increment is determined. Since the oil of the vehicle with emulsified oil is mixed with water vapor, the oil will increase, so the evaluation result of the emulsified oil in the screened vehicle can be determined based on the oil increment. Finally, the user can determine whether the vehicle has the phenomenon of oil emulsification based on the evaluation result.

[0108] In some practicable examples, the target parameter set includes operating parameters, the operating parameters include the actual engine speed and the engine coolant temperature, the stroke classification includes slowing down the oil emulsification stroke; Figure 2 ,like Figure 5 As shown, the above S130 can be specifically implemented through the following S1304 and S1305.

[0109] S1304. Based on the usage records of the screened vehicles, determine the total number of usage records that meet the third condition; wherein the third condition includes: the ratio of the total number of uploaded data that meets the third preset condition to the total number of uploaded data contained in the usage records is greater than a third threshold, or the total number of uploaded data that continuously meets the third preset condition is greater than a third number, and the third preset condition includes that the actual speed in the target parameter set of the screened vehicles is greater than the first speed, and the coolant temperature is greater than a fourth temperature.

[0110] S1305: Classify the total number of usage records that meet the third condition as the total number of usage records included in the oil emulsification alleviation trip.

[0111] In some examples, combined with the example given in S1301 above, such as the third threshold value is 80%, the third condition includes: the ratio of the total number of uploaded data that meets the third preset condition to the total number of uploaded data contained in the usage record is greater than the third threshold value, and the third preset condition includes the actual speed in the target parameter set for screening vehicles greater than the first speed, and the coolant temperature is greater than the fourth temperature. At this time, if the first speed can be 500r / min, and the fourth temperature is 70°C, then the third preset condition includes the actual speed in the target parameter set for screening vehicles greater than 500r / min, and the coolant temperature is greater than 70°C. At this time, it can be determined that there are 0 uploaded data in Table 4 that meet the third preset condition. Since the usage record contains a total of 6 uploaded data, the ratio of the total number of uploaded data that meets the third preset condition (0) to the total number of uploaded data contained in the usage record (6) is That is, 0%. Since 0% is less than 80%, it is determined that the usage record does not meet the third condition. In this way, the above operation is performed on each usage record of the screened vehicle to determine the total number of usage records that meet the third condition.

[0112] As can be seen from the above, the method for evaluating the emulsification of the oil provided by the embodiment of the present disclosure can obtain the Internet of Vehicles data reported by the target vehicle within a preset time, so as to determine at least one usage record of the engine of the target vehicle and the corresponding target parameter set when the engine is used based on the Internet of Vehicles data, and the target parameter set includes at least one operating parameter and the environmental parameter corresponding to the operating parameter; then, the target vehicle is screened based on the usage record to obtain the screened vehicle; thus, the vehicle that may have the emulsified oil can be determined. Then, based on the usage records of the screened vehicles, the total number of usage records that meet the third condition is determined; the total number of usage records that meet the third condition is used as the total number of usage records included in the trip that slows down the emulsification of the oil; based on the total number, the amount of emulsified oil is determined. Based on the amount of emulsified oil, the oil increment is determined. Since the oil of the vehicle with emulsified oil is mixed with water vapor, the oil will increase, so the evaluation result of the emulsified oil in the screened vehicle can be determined based on the oil increment. Finally, the user can determine whether the vehicle has the phenomenon of oil emulsification based on the evaluation result.

[0113] In some practicable examples, the target parameter set includes operating parameters and environmental parameters, the operating parameters include the actual engine speed and the engine coolant temperature, the environmental parameters include the ambient temperature, the trip classification includes a trip that has no effect on oil emulsification; Figure 2 ,like Figure 6 As shown, the above S130 can be specifically implemented through the following S1306 and S1307.

[0114] S1306, based on the screening of vehicle usage records, determining the total number of usage records that do not meet the first condition, the second condition, and the third condition;

[0115] S1307: Classify the total number of usage records that do not satisfy the first condition, the second condition, and the third condition as the total number of usage records included in the trip that has no effect on oil emulsification.

[0116] As can be seen from the above, the method for evaluating the emulsification of the oil provided in the embodiment of the present disclosure can determine at least one usage record of the engine of the target vehicle and the target parameter set corresponding to the use of the engine based on the Internet of Vehicles data by acquiring the Internet of Vehicles data reported by the target vehicle within a preset time, and the target parameter set includes at least one operating parameter and the environmental parameter corresponding to the operating parameter; then, the target vehicle is screened based on the usage record to obtain the screened vehicle; thus, the vehicle that may have the emulsified oil can be determined. Then, based on the usage record of the screened vehicle, the total number of usage records that do not meet the first condition, the second condition, and the third condition is determined; the total number of usage records that do not meet the first condition, the second condition, and the third condition is used as the total number of usage records included in the trip that is classified as having no effect on the emulsification of the oil; based on the total number, the amount of emulsified oil is determined. Based on the amount of emulsified oil, the oil increment is determined. Since the oil of the vehicle with emulsified oil is mixed with water vapor, the oil will increase, so the evaluation result of the emulsified oil of the screened vehicle can be determined based on the oil increment. Finally, users can determine whether the vehicle has oil emulsification based on the evaluation results.

[0117] In some possible implementation examples, combined with Figure 2 ,like Figure 7 As shown, the above S131 can be specifically implemented through the following S1310 and S1311.

[0118] S1310, obtaining an actual total based on the sum of the products of the total number of usage records included in each trip category and the weight value corresponding to the trip category;

[0119] S1311. The actual total is used as the emulsified oil amount.

[0120] Exemplarily, the total number of usage records included in each trip classification of the vehicle is shown in Table 5.

[0121] Table 5

[0122]

[0123] Assuming that the weight value corresponding to the trip classification "trip that intensifies oil emulsification" is 1.2, the weight value corresponding to the trip classification "trip that slows down oil emulsification" is -1.1, and the weight value corresponding to the trip classification "trip that has no effect on oil emulsification" is 0.2, it can be seen from Table 4 that the actual total of vehicles with VIN aaa is -2.2, the actual total of vehicles with VIN bbb is 12.6, the actual total of vehicles with VIN ccc is 31.1, the actual total of vehicles with VIN ddd is 35.3, and the actual total of vehicles with VIN eee is 91.4.

[0124] In this way, it can be determined that the emulsified oil amount of the vehicle with VIN aaa is -2.2, the emulsified oil amount of the vehicle with VIN bbb is 12.6, the emulsified oil amount of the vehicle with VIN ccc is 31.1, the emulsified oil amount of the vehicle with VIN ddd is 35.3, and the emulsified oil amount of the vehicle with VIN eee is 91.4.

[0125] As can be seen from the above, the method for evaluating oil emulsification provided by the embodiment of the present disclosure can obtain the Internet of Vehicles data reported by the target vehicle within a preset time, so as to determine at least one usage record of the engine of the target vehicle and the corresponding target parameter set when the engine is used based on the Internet of Vehicles data, and the target parameter set includes at least one operating parameter and the environmental parameters corresponding to the operating parameters; then, the target vehicle is screened based on the usage record to obtain the screened vehicle; thus, the vehicle that may have oil emulsification can be determined. Then, the actual sum is obtained based on the sum of the products of the total number of usage records contained in each trip classification and the weight value corresponding to the trip classification; the actual sum is used as the amount of oil emulsification. Since the oil of the vehicle with oil emulsification will increase due to the mixing of water vapor, the evaluation result of the oil emulsification of the screened vehicle can be determined based on the oil increment. Finally, the user can determine whether the vehicle has the phenomenon of oil emulsification based on the evaluation result.

[0126] In some possible implementation examples, combined with Figure 2 ,like Figure 8 As shown, the above S132 can be specifically implemented through the following S1320.

[0127] S1320, substituting the emulsified amount of engine oil into the incremental formula to obtain the engine oil incremental amount; wherein the incremental formula includes:

[0128] y=ax 2 +bx+c;

[0129] Among them, a, b, and c are fitting parameters, x represents the amount of oil emulsification, and y represents the oil increment.

[0130] For example, the fitting function based on the historical oil increment of the vehicle with increased oil and the oil emulsification amount corresponding to the vehicle with increased oil is as shown in Formula 1:

[0131] y=0.000813997x 2 -0.15449x+11.7425, formula 1.

[0132] The correspondence between at least one screening vehicle and the amount of engine oil emulsification is shown in Table 6.

[0133] Table 6

[0134] Filter Vehicles Oil emulsification amount Vehicles with VIN aaa -2.2 Vehicles with VIN bbb 12.6 Vehicles with VIN ccc 31.1 Vehicles with VIN ddd 35.3 Vehicles with VIN eee 91.4

[0135] Based on Table 6 and Formula 1, it can be determined that the oil increment corresponding to the vehicle with VIN aaa is 12.09ml, the oil increment corresponding to the vehicle with VIN bbb is 9.93ml, the oil increment corresponding to the vehicle with VIN ccc is 7.73ml, the oil increment corresponding to the vehicle with VIN ddd is 7.30ml, and the oil increment corresponding to the vehicle with VIN eee is 4.42ml.

[0136] From the above, it can be seen that the method for evaluating oil emulsification provided by the embodiment of the present disclosure can determine at least one usage record of the engine of the target vehicle based on the Internet of Vehicles data by acquiring the Internet of Vehicles data reported by the target vehicle within a preset time; then, the target vehicle is screened based on the usage record to obtain screened vehicles; thus, vehicles that may have oil emulsification can be determined. Then, the amount of oil emulsification is substituted into the incremental formula to obtain the oil increment. Since the oil of a vehicle with oil emulsification is mixed with water vapor, the oil will increase, so the evaluation result of the oil emulsification of the screened vehicle can be determined based on the oil increment. Finally, the user can determine whether the vehicle has the phenomenon of oil emulsification based on the evaluation result.

[0137] Embodiment 2

[0138] Fig. 9 The structural schematic diagram of the evaluation device for engine oil emulsification provided in Example 2 of the present application is shown as an example. Fig. 9 As shown, the engine oil emulsification evaluation device includes: an acquisition module 80 and a processing module 81 .

[0139] The acquisition module 80 is used to acquire the Internet of Vehicles data reported by the target vehicle within a preset time; wherein the Internet of Vehicles data includes: at least one usage record of the engine, the usage record includes at least one uploaded data reported after the engine of the vehicle is started to when the engine is turned off, the uploaded data includes a target parameter set corresponding to the use of the engine, and the target parameter set includes at least one operating parameter and an environmental parameter corresponding to the operating parameter;

[0140] A processing module 81, configured to screen target vehicles based on the usage records acquired by the acquisition module 80, to obtain screened vehicles;

[0141] The processing module 81 is further configured to perform the following operations on each screened vehicle: determining the oil increment of the screened vehicle based on the target parameter set of the screened vehicle;

[0142] The processing module 81 is further used to determine an evaluation result of whether the oil emulsification occurs in the screening vehicle based on the oil increment.

[0143] In some implementable examples, the processing module 81 is specifically used to determine the total number of usage records contained in each trip classification based on one or more of the operating parameters and environmental parameters in the target parameter set of the vehicle being screened; wherein the trip classification includes one or more of a trip that intensifies oil emulsification, a trip that slows down oil emulsification, a trip that slows down oil emulsification, and a trip that has no effect on oil emulsification; the processing module 81 is specifically used to determine the amount of oil emulsification based on the total number; the processing module 81 is specifically used to determine the oil increment based on the amount of oil emulsification.

[0144] In some implementable examples, the target parameter set includes operating parameters and environmental parameters, the operating parameters include the actual engine speed and the engine coolant temperature, the environmental parameters include the ambient temperature, and the trip classification includes an intensified oil emulsification trip; the processing module 81 is specifically used to determine the total number of usage records that meet the first condition based on the screening of vehicle usage records; wherein the first condition includes: the ratio of the total number of uploaded data that meets the first preset condition to the total number of uploaded data contained in the usage records is greater than a first threshold, or the total number of uploaded data that continuously meets the first preset condition is greater than a first number, and the first preset condition includes screening the actual speed in the target parameter set of the vehicle is greater than the first speed, and the coolant temperature is less than the first temperature, and the ambient temperature is less than the second temperature; the processing module 81 is specifically used to classify the total number of usage records that meet the first condition as the total number of usage records contained in the intensified oil emulsification trip.

[0145] In some implementable examples, the target parameter set includes operating parameters and environmental parameters, the operating parameters include the actual engine speed, the environmental parameters include the ambient temperature, and the trip classification includes the oil emulsification slowing trip; the processing module 81 is specifically used to determine the total number of usage records that meet the second condition based on the screening of vehicle usage records; wherein the second condition includes: the ratio of the total number of uploaded data that meets the second preset condition to the total number of uploaded data contained in the usage records is greater than the second threshold, or the total number of uploaded data that continuously meets the second preset condition is greater than the second number, and the second preset condition includes the actual speed in the target parameter set of the screening vehicle is greater than the first speed, and the ambient temperature is greater than the third temperature; the processing module 81 is specifically used to classify the total number of usage records that meet the second condition as the total number of usage records contained in the oil emulsification slowing trip.

[0146] In some implementable examples, the target parameter set includes operating parameters, the operating parameters include the actual engine speed and the engine coolant temperature, and the trip classification includes the oil emulsification slowing trip; the processing module 81 is specifically used to determine the total number of usage records that meet the third condition based on the screening of vehicle usage records; wherein the third condition includes: the ratio of the total number of uploaded data that meets the third preset condition to the total number of uploaded data contained in the usage records is greater than a third threshold, or the total number of uploaded data that continuously meets the third preset condition is greater than a third number, and the third preset condition includes the actual speed in the target parameter set of the screening vehicle being greater than the first speed, and the coolant temperature being greater than a fourth temperature; the processing module 81 is specifically used to classify the total number of usage records that meet the third condition as the total number of usage records contained in the oil emulsification slowing trip.

[0147] In some implementable examples, the target parameter set includes operating parameters and environmental parameters, the operating parameters include the actual engine speed and the engine coolant temperature, the environmental parameters include the ambient temperature, and the trip classification includes a trip that has no effect on oil emulsification; the processing module 81 is specifically used to determine the total number of usage records that do not meet the first condition, the second condition, and the third condition based on the screening of vehicle usage records; the processing module 81 is specifically used to classify the total number of usage records that do not meet the first condition, the second condition, and the third condition as the total number of usage records included in the trip that has no effect on oil emulsification.

[0148] In some implementable examples, the processing module 81 is specifically used to obtain the actual total based on the sum of the products of the total number of usage records contained in each trip classification and the weight value corresponding to the trip classification; the processing module 81 is specifically used to use the actual total as the amount of engine oil emulsification.

[0149] In some feasible examples, the processing module 81 is specifically used to bring the emulsified amount of engine oil into the increment formula to obtain the engine oil increment; wherein the increment formula includes:

[0150] y=ax 2 +bx+c;

[0151] Among them, a, b, and c are fitting parameters, x represents the amount of oil emulsification, and y represents the oil increment.

[0152] Among them, all relevant contents of each step involved in the above method embodiment can be referred to the functional description of the corresponding functional module, and its role will not be repeated here.

[0153] Of course, the electronic device provided by the embodiment of the present invention includes but is not limited to the above modules, for example, the electronic device may also include a storage module 82. The storage module 82 may be used to store program codes of the electronic device, and may also be used to store data generated during operation of the electronic device, such as diagnostic data.

[0154] Fig.10 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention is shown in FIG. Fig.10 As shown, the electronic device may include: at least one processor 51 , a memory 52 , a communication interface 53 and a communication bus 54 .

[0155] Combine the following Fig.10 A detailed introduction to the various components of electronic equipment:

[0156] The processor 51 is the control center of the electronic device, and may be a processor or a general term for multiple processing elements. For example, the processor 51 is a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present invention, such as one or more DSPs, or one or more field programmable gate arrays (FPGAs).

[0157] In a specific implementation, as an embodiment, the processor 51 may include one or more CPUs, such as Fig.10 Also, as an embodiment, the electronic device may include multiple processors, such as Fig.1051 and 55 are shown in FIG. Each of these processors may be a single-core processor (Single-CPU) or a multi-core processor (Multi-CPU). The processor here may refer to one or more devices, circuits, and / or processing cores for processing data (e.g., computer program instructions).

[0158] The memory 52 may be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical disc, laser disc, optical disc, digital versatile disc, Blu-ray disc, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto. The memory 52 may exist independently and be connected to the processor 51 via a communication bus 54. The memory 52 may also be integrated with the processor 51.

[0159] In a specific implementation, the memory 52 is used to store the data of the present invention and execute the software program of the present invention. The processor 51 can execute various functions of the air conditioner by running or executing the software program stored in the memory 52 and calling the data stored in the memory 52.

[0160] The communication interface 53 uses any transceiver-like device to communicate with other devices or communication networks, such as Radio Access Network (RAN), Wireless Local Area Networks (WLAN), terminals, the cloud, etc. The communication interface 53 may include an acquisition module to implement the acquisition function.

[0161] The communication bus 54 may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Fig.10 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0162] As an example, combining Fig. 9 The function of the acquisition module 80 of the data simulation device is similar to Fig.10 The function of the communication interface 53 in the data simulation device is the same as that of the processing module 81 in the data simulation device. Fig.10 The function of the processor 51 in the data simulation device is the same as that of the storage module 82 in the data simulation device. Fig.10 The function of the memory 52 in is the same.

[0163] An embodiment of the present application also provides an electronic device, which may include the electronic device in any embodiment.

[0164] An embodiment of the present application further provides a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the method in any embodiment.

[0165] The above description is only a specific embodiment of the present disclosure, so that those skilled in the art can understand or implement the present disclosure. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present disclosure. Therefore, the present disclosure will not be limited to the embodiments described herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for evaluating engine oil emulsification, characterized in that: include: Obtaining Internet of Vehicles data reported by a target vehicle within a preset time; wherein the Internet of Vehicles data includes: at least one usage record of an engine, the usage record includes at least one uploaded data reported after the engine of the vehicle is started to when the engine is turned off, the uploaded data includes a target parameter set corresponding to the use of the engine, the target parameter set includes at least one operating parameter and an environmental parameter corresponding to the operating parameter; Screening the target vehicles based on the usage records to obtain screened vehicles; For each of the screened vehicles, the following operations are performed: based on the target parameter set of the screened vehicle, determining the oil increment of the screened vehicle; Based on the increased amount of engine oil, an evaluation result of engine oil emulsification occurring in the screening vehicle is determined.

2. The method for evaluating engine oil emulsification according to claim 1, characterized in that: The step of determining the oil increment of the screening vehicle based on the target parameter set of the screening vehicle comprises: Determine the total number of usage records included in each trip classification based on one or more of the operating parameters and the environmental parameters in the target parameter set for screening the vehicle; wherein the trip classification includes one or more of a trip that intensifies engine oil emulsification, a trip that slows engine oil emulsification, a trip that slows engine oil emulsification, and a trip that has no effect on engine oil emulsification; determining an amount of motor oil emulsification based on the total; Based on the emulsified oil amount, an oil increment is determined.

3. The method for evaluating engine oil emulsification according to claim 2, characterized in that: The target parameter set includes operating parameters and environmental parameters, the operating parameters include an actual engine speed and a coolant temperature of the engine, the environmental parameters include an ambient temperature, and the stroke classification includes an intensified oil emulsification stroke; The determining the total number of usage records included in each trip classification based on one or more of the operating parameters and the environmental parameters in the target parameter set for screening the vehicle comprises: Based on the usage records of the screening vehicle, determining the total number of usage records that meet a first condition; wherein the first condition includes: a ratio of a total number of uploaded data that meets a first preset condition to a total number of uploaded data included in the usage records is greater than a first threshold, or a total number of uploaded data that continuously meets the first preset condition is greater than a first number, and the first preset condition includes that the actual speed in the target parameter set of the screening vehicle is greater than a first speed, and the coolant temperature is less than a first temperature, and the ambient temperature is less than a second temperature; The total number of the use records satisfying the first condition is classified as a trip as the total number of use records included in the intensified oil emulsification trip.

4. The method for evaluating engine oil emulsification according to claim 2, characterized in that: The target parameter set includes operating parameters and environmental parameters, the operating parameters include the actual speed of the engine, the environmental parameters include the ambient temperature, and the stroke classification includes a stroke to slow down the emulsification of the engine oil; The determining the total number of usage records included in each trip classification based on one or more of the operating parameters and the environmental parameters in the target parameter set for screening the vehicle comprises: Based on the usage records of the screening vehicle, determining the total number of usage records that meet a second condition; wherein the second condition includes: a ratio of a total number of uploaded data that meets a second preset condition to a total number of uploaded data included in the usage records is greater than a second threshold, or a total number of uploaded data that continuously meets the second preset condition is greater than a second number, and the second preset condition includes that the actual speed in the target parameter set of the screening vehicle is greater than a first speed, and the ambient temperature is greater than a third temperature; The total number of the usage records satisfying the second condition is classified as a trip as the total number of usage records included in the oil emulsification alleviation trip.

5. The method for evaluating engine oil emulsification according to claim 2, characterized in that: The target parameter set includes operating parameters, the operating parameters include an actual engine speed and a coolant temperature of the engine, and the stroke classification includes a stroke for slowing down oil emulsification; The determining the total number of usage records included in each trip classification based on one or more of the operating parameters and the environmental parameters in the target parameter set for screening the vehicle comprises: Based on the usage records of the screening vehicle, determining the total number of usage records that meet a third condition; wherein the third condition includes: a ratio of a total number of uploaded data that meets a third preset condition to a total number of uploaded data included in the usage records is greater than a third threshold, or a total number of uploaded data that continuously meets the third preset condition is greater than a third number, and the third preset condition includes that the actual speed in the target parameter set of the screening vehicle is greater than a first speed, and the coolant temperature is greater than a fourth temperature; The total number of the use records satisfying the third condition is classified as a trip as the total number of use records included in the oil emulsification alleviation trip.

6. The method for evaluating engine oil emulsification according to claim 2, characterized in that: The target parameter set includes operating parameters and environmental parameters, the operating parameters include the actual speed of the engine and the coolant temperature of the engine, the environmental parameters include the ambient temperature, and the stroke classification includes a stroke that has no effect on oil emulsification; The determining the total number of usage records included in each trip classification based on one or more of the operating parameters and the environmental parameters in the target parameter set for screening the vehicle comprises: Based on the usage records of the screened vehicles, determining the total number of usage records that do not meet the first condition, the second condition, and the third condition; The total number of the use records that do not satisfy the first condition, the second condition, and the third condition is classified as the total number of use records included in the trip that has no effect on oil emulsification.

7. The method for evaluating engine oil emulsification according to claim 2, characterized in that: Determining the amount of emulsified engine oil based on the total number includes: Obtaining an actual total based on the sum of the products of the total number of usage records contained in each of the trip categories and the weight value corresponding to the trip category; The actual total is taken as the amount of engine oil emulsification.

8. The method for evaluating engine oil emulsification according to claim 2, characterized in that: The step of determining the amount of engine oil increase based on the amount of engine oil emulsification includes: Substitute the emulsified oil amount into the incremental formula to obtain the oil incremental amount; wherein the incremental formula includes: y=ax 2 +bx+c; Among them, a, b, and c are fitting parameters, x represents the amount of oil emulsification, and y represents the oil increment.

9. An evaluation device for engine oil emulsification, characterized in that: include: An acquisition module, used to acquire Internet of Vehicles data reported by a target vehicle within a preset time; wherein the Internet of Vehicles data includes: at least one usage record of an engine, the usage record includes at least one uploaded data reported after the engine of the vehicle is started to when the engine is turned off, the uploaded data includes a target parameter set corresponding to the use of the engine, the target parameter set includes at least one operating parameter and an environmental parameter corresponding to the operating parameter; A processing module, configured to screen the target vehicle based on the usage record acquired by the acquisition module to obtain a screened vehicle; The processing module is further configured to perform the following operations on each of the screened vehicles: determining the oil increment of the screened vehicle based on the target parameter set of the screened vehicle; The processing module is further used to determine an evaluation result of whether the oil emulsification occurs in the screened vehicle based on the oil increment.

10. An electronic device, characterized in that: include: A memory and a processor, wherein the memory is used to store a computer program; and the processor is used to enable the electronic device to implement the method described in any one of claims 1 to 8 when executing the computer program.

11. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 8 when executed by a processor.

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