Engine oil emulsification evaluation method and device and electronic equipment
By analyzing the vehicle usage records and target parameters in the Internet of Vehicles data, and evaluating the oil increment, the problem of vehicle oil emulsification detection is solved, and the accurate evaluation of the degree of oil emulsification and the provision of solutions is achieved.
Patent Information
- Application Number
- CN202411906536.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-23
- Publication Date
- 2025-04-15
AI Technical Summary
How to detect whether the vehicle has oil emulsification. The oil emulsification will cause abnormal engine wear and reliability failure.
By obtaining the Internet of Vehicles reported by the target vehicle within the preset time, screening the vehicle's usage records and target parameter sets, determining the engine oil increment, and evaluating whether the vehicle has oil emulsification based on the emulsification screening conditions and engine oil increments.
Effectively detect whether the vehicle has oil emulsification, provide evaluation results for mild emulsification or severe emulsification, and help users determine the degree and solutions of oil emulsification.
Smart Images
Figure CN119830178A_ABST
Abstract
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, a target parameter set corresponding to the use of the engine, 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 records to obtain screened vehicles; determining the oil increment corresponding to the screened vehicles based on the emulsification screening conditions and the target parameter set corresponding to the screened vehicles; and determining the evaluation result of oil emulsification occurring in the screened vehicles based on the oil increment.
[0006] In some feasible examples, the usage record includes the mileage of the target vehicle from each time the engine is started to each time the engine is shut down; the target vehicles are filtered based on the usage record to obtain filtered vehicles, including: filtering the target vehicles based on the mileage to obtain filtered vehicles.
[0007] In some feasible examples, target vehicles are screened based on mileage to obtain screened vehicles, including: obtaining a target mileage that is less than a short mileage threshold; wherein the target mileage includes any one of the mileages; calculating a first total mileage corresponding to the sum of all mileages, and a second total mileage corresponding to the sum of all target mileages; and screening the target vehicles based on the maximum mileage, the first total mileage, and the second total mileage to obtain screened vehicles.
[0008] In some feasible examples, the operating parameters include actual speed and coolant temperature, and the environmental parameters include ambient temperature; based on the emulsification screening conditions and the target parameter set corresponding to the screened vehicle, the oil increment corresponding to the screened vehicle is determined, including: obtaining the total number of screenings that meet the emulsification screening conditions in the target parameter set corresponding to the screened vehicle; based on the total number of screenings, the oil increment corresponding to the screened vehicle is determined.
[0009] In some feasible examples, the emulsification screening conditions include: the actual speed is greater than the speed threshold, the ambient temperature is less than the first temperature threshold, and the ratio of the total number of times the coolant temperature is less than the second temperature threshold to the total number of operating parameters included in the target parameter set is greater than or equal to a preset ratio.
[0010] In some feasible examples, the emulsification screening conditions include: the actual speed is greater than the speed threshold, the ambient temperature is less than the first temperature threshold, and the total number of times the coolant temperature is less than the second temperature threshold is equal to a preset value.
[0011] In some feasible examples, determining the oil increment corresponding to the filtered vehicle based on the total number of filters includes: determining the oil increment corresponding to the filtered vehicle based on a pre-fitted fitting function and the total number of filters; wherein the fitting function includes the corresponding relationship between the total number of filters and the oil increment.
[0012] In some feasible examples, based on the oil increment, determining the evaluation result of whether the oil emulsification occurs in the screening vehicle includes: when the oil increment is less than a preset increment, determining that the evaluation result of whether the oil emulsification occurs in the screening vehicle is slight emulsification.
[0013] In some feasible examples, based on the oil increment, determining the evaluation result of whether the oil emulsification occurs in the screening vehicle includes: when the oil increment is greater than or equal to a preset increment, determining that the evaluation result of whether the oil emulsification occurs in the screening vehicle is severe emulsification.
[0014] In some practicable examples, the method for evaluating the emulsification of the engine oil provided by the present disclosure further includes: generating a solution based on the evaluation result, wherein 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 emulsification of the engine oil.
[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, a target parameter set corresponding to the use of the engine, the target parameter set including at least one operating parameter and an environmental parameter corresponding to the operating parameter; a processing module, used to screen the target vehicle based on the usage record acquired by the acquisition module to obtain a screened vehicle; the processing module is also used to determine the oil increment corresponding to the screened vehicle based on the emulsification screening condition and the target parameter set corresponding to 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 and the corresponding target parameter set when the engine is used can be determined 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 vehicle; thus, the vehicle that may have oil emulsification can be determined. Then, based on the emulsification screening conditions and the target parameter set corresponding to the screened vehicle, the oil increment corresponding to 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, thereby solving the problem of how to detect whether the vehicle has the phenomenon of oil emulsification. 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 Schematic diagram 4 of a flow chart of a method for evaluating the emulsification of engine oil provided in the first embodiment is shown as an example;
[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 flow chart of a method for evaluating engine oil emulsification provided in the first embodiment is shown as an example;
[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 exemplarily shows one of the structural schematic diagrams of the engine oil emulsification evaluation device provided in the second embodiment;
[0031] Fig.10 FIG. 2 exemplarily shows a second structural diagram of an electronic device provided in the second embodiment. 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 Internet of Vehicles data reported by the target vehicle within a preset time, wherein the Internet of Vehicles data includes: at least one use record of the engine, 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 record includes at least one set of parameter records, each set of parameter records 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 parameter records. Exemplarily, the vehicle records the actual engine speed, ambient temperature, and coolant temperature of the engine coolant every 1 minute to form a set of parameter records.
[0054] S12. Filter target vehicles based on usage records to obtain filtered vehicles.
[0055] In some examples, the screening vehicle is any one of the target vehicles.
[0056] 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:
[0057] 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.
[0058] 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.
[0059] Based on the first prediction result and the first marking result, the network parameters of the first neural network model are adjusted until the first neural network model converges to obtain the screened vehicles.
[0060] In some examples, when the target vehicles are screened based on the usage records, the target vehicles may be screened based on the mileage in the usage records to obtain the screened vehicles. For example, a target mileage less than a short mileage threshold is obtained. The target mileage includes any one of the mileages. 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 the screened vehicles.
[0061] S13. Determine the oil increment corresponding to the screened vehicle based on the emulsification screening condition and the target parameter set corresponding to the screened vehicle.
[0062] In some examples, when determining the oil increment corresponding to the screened vehicle, the emulsification screening conditions and the target parameter set corresponding to the screened vehicle can be input into the first increment model for calculation to obtain the oil increment corresponding to the screened vehicle. The training process of the first increment model is as follows:
[0063] The second training sample data and the second labeling result of the second training sample data are obtained, wherein the second training sample data includes the historical emulsification screening conditions and the historical parameter set corresponding to the historical vehicles, and the second labeling result includes the oil increment corresponding to the emulsification screening conditions and the historical parameter set.
[0064] The second training sample data is input into the second neural network model for learning to obtain a second prediction result of the second neural network model for the second training sample data.
[0065] 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 first incremental model.
[0066] In some examples, when determining the oil increment corresponding to the screened vehicle, the total number of screenings that meet the emulsification screening condition in the target parameter set corresponding to the screened vehicle is obtained. Based on the total number of screenings, the oil increment corresponding to the screened vehicle is determined.
[0067] S14. Based on the oil increment, determine the evaluation result of oil emulsification occurring in the screening vehicle.
[0068] 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 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 emulsification screening conditions and the target parameter set corresponding to the screened vehicle, the oil increment corresponding to 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.
[0069] In some feasible examples, the usage record includes the mileage of the target vehicle from each time the engine is started to each time the engine is turned off; Figure 1,like Figure 2 As shown, the above S12 can be specifically implemented through the following S120.
[0070] S120: Filter target vehicles based on mileage to obtain filtered vehicles.
[0071] In some examples, when screening target vehicles based on mileage, all mileage of the target vehicle in the Internet of Vehicles data can be input into the vehicle screening model to determine whether the target vehicle is a screening vehicle. The training process of the vehicle screening model includes:
[0072] Obtain third training sample data and third marking results of the third training sample data, wherein the third training sample data includes at least one historical vehicle Internet of Vehicles data in each historical time, and the third marking result includes whether the historical vehicle is a screening vehicle.
[0073] The third training sample data is input into the third neural network model for learning, and a third prediction result of the third neural network model on the third training sample data is obtained.
[0074] Based on the third prediction result and the third marking result, the network parameters of the third neural network model are adjusted until the third neural network model converges to obtain a vehicle screening model.
[0075] 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.
[0076] 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 parameter; then, the target vehicles are screened based on the mileage to obtain screened vehicles; thus, vehicles that may have oil emulsification can be determined. Then, based on the emulsification screening conditions and the target parameter set corresponding to the screened vehicles, the oil increment corresponding to the screened vehicles 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.
[0077] In some possible implementation examples, combined with Figure 2,like Figure 3 As shown, the above S120 can be specifically implemented through the following S1200-S1202.
[0078] S1200: Obtain a target mileage that is less than a short mileage threshold, wherein the target mileage includes any one of the driving mileages.
[0079] In some examples, the short range threshold may be 5 km.
[0080] S1201. Calculate a first total mileage corresponding to the sum of all driving mileages and a second total mileage corresponding to the sum of all target mileages.
[0081] S1202, screen target vehicles based on the maximum driving mileage, the first total mileage, and the second total mileage to obtain screened vehicles.
[0082] 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.
[0083] In some examples, the percentage threshold may be 80% and the mileage threshold may be 30 km.
[0084] As can be seen from the above, 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 and the target parameter set corresponding to the use of the engine based on the vehicle networking data by obtaining 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, by obtaining the target mileage less than the short mileage threshold, the first total mileage corresponding to the sum of all mileages and the 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 the screened vehicles; thus, the vehicles that may have oil emulsification can be determined. Then, based on the emulsification screening conditions and the target parameter set corresponding to the screened vehicles, the oil increment corresponding to the screened vehicles 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 oil emulsification based on the evaluation result.
[0085] In some practicable examples, the operating parameters include actual speed and coolant temperature, and the environmental parameters include ambient temperature; Figure 1 ,like Figure 4 As shown, the above S13 can be specifically implemented through the following S130 and S131.
[0086] S130, obtaining the total number of screening vehicles that meet the emulsification screening conditions in the target parameter set corresponding to the screening vehicle.
[0087] In some examples, the target parameter set includes at least one set of parameter records, each set of parameter records includes at least the actual engine speed, the ambient temperature, and the coolant temperature of the engine coolant. When obtaining the total number of screenings that meet the emulsification screening condition in the target parameter set corresponding to the screening vehicle, the number of parameter records that meet the emulsification screening condition is determined, and the number is used as the total number of screenings that meet the emulsification screening condition in the target parameter set corresponding to the screening vehicle.
[0088] Among them, the emulsification screening conditions include: the ratio of the total number of times that the actual speed is greater than the speed threshold, the ambient temperature is less than the first temperature threshold, and the coolant temperature is less than the second temperature threshold to the total number of operating parameters included in the target parameter set is greater than or equal to a preset ratio. Among them, the total number of operating parameters included in the target parameter set is equal to the total number of parameter records included in the target parameter set, and the total number of times that the actual speed is greater than the speed threshold, the ambient temperature is less than the first temperature threshold, and the coolant temperature is less than the second temperature threshold is equal to the total number of parameter records in the target parameter set that the actual speed is greater than the speed threshold, the ambient temperature is less than the first temperature threshold, and the coolant temperature is less than the second temperature threshold.
[0089] Alternatively, the total number of times that the actual rotation speed is greater than the rotation speed threshold, the ambient temperature is less than the first temperature threshold, and the coolant temperature is less than the second temperature threshold is equal to a preset value.
[0090] In some examples, the preset value may be 10.
[0091] Exemplarily, the target parameter set of the target vehicle is shown in Table 3.
[0092] Table 3
[0093]
[0094] Assuming that the emulsification screening condition is that the actual speed is greater than the speed threshold, the ambient temperature is less than the first temperature threshold, and the total number of times the coolant temperature is less than the second temperature threshold is greater than or equal to the preset ratio, and the speed threshold is 500r / min, the first temperature threshold is -10°C, the second temperature threshold is 70°C, and the preset ratio is 50%, it is determined that there are 3 parameter records in Table 1 that satisfy the actual speed greater than the speed threshold, the ambient temperature is less than the first temperature threshold, and the coolant temperature is less than the second temperature threshold. At this time, it is determined that the total number of times the actual speed is greater than the speed threshold, the ambient temperature is less than the first temperature threshold, and the coolant temperature is less than the second temperature threshold is 3. Since the target parameter set contains 6 parameter records, the total number of operating parameters contained in the target parameter set is 6. Since the actual speed is greater than the speed threshold, the ambient temperature is less than the first temperature threshold, and the coolant temperature is less than the second temperature threshold, the ratio of the total number of times the actual speed is greater than the speed threshold, the ambient temperature is less than the first temperature threshold, and the coolant temperature is less than the second temperature threshold to the total number of operating parameters contained in the target parameter set That is, 50%. Since 50% is equal to the preset ratio, the target vehicle is determined to be a screening vehicle.
[0095] S131. Determine the oil increment corresponding to the screened vehicles based on the total number of screened vehicles.
[0096] In some examples, when determining the oil increment corresponding to the screened vehicle, the total number of screened vehicles can be input into the second increment model for calculation to obtain the oil increment corresponding to the screened vehicle. The training process of the second increment model is as follows:
[0097] Obtain fourth training sample data and fourth labeling results of the fourth training sample data, wherein the fourth training sample data includes at least one historical screening total number, and the fourth labeling result includes the oil increment corresponding to the historical screening total number.
[0098] The fourth training sample data is input into the fourth neural network model for learning, and a fourth prediction result of the fourth neural network model on the fourth training sample data is obtained.
[0099] Based on the fourth prediction result and the fourth marking result, the network parameters of the fourth neural network model are adjusted until the fourth neural network model converges to obtain a second incremental model.
[0100] In some examples, when determining the oil increment corresponding to the screened vehicle, the oil increment corresponding to the screened vehicle is determined based on a pre-fitted fitting function and a screening total number.
[0101] 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 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 total number of screenings that meet the emulsification screening conditions in the target parameter set corresponding to the screened vehicles is obtained; based on the total number of screenings, the oil increment corresponding to the screened vehicles 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.
[0102] In some feasible examples, the emulsification screening conditions include: the actual speed is greater than the speed threshold, the ambient temperature is less than the first temperature threshold, and the ratio of the total number of times the coolant temperature is less than the second temperature threshold to the total number of operating parameters included in the target parameter set is greater than or equal to a preset ratio.
[0103] As can be seen from the above, when determining the oil increment corresponding to the screening vehicle based on the emulsification screening condition, in order to improve the accuracy of the oil increment corresponding to the screening vehicle, by comparing the size relationship between the actual speed and the speed threshold, the size relationship between the ambient temperature and the first temperature threshold, and the size relationship between the coolant temperature and the second temperature threshold, it is possible to determine the total number of times that the actual speed corresponding to the target vehicle is greater than the speed threshold, the ambient temperature is less than the first temperature threshold, and the coolant temperature is less than the second temperature threshold, and then it can be determined whether the target vehicle is a screening vehicle based on the size relationship between the ratio of the total number of operating parameters included in the target parameter set and the preset ratio. Then, when the target vehicle is a screening vehicle, the oil increment corresponding to the screening vehicle can be determined based on the total number of screenings corresponding to the screening vehicle. 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 screening 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.
[0104] In some feasible examples, the emulsification screening conditions include: the actual speed is greater than the speed threshold, the ambient temperature is less than the first temperature threshold, and the total number of times the coolant temperature is less than the second temperature threshold is equal to a preset value.
[0105] As can be seen from the above, when determining the oil increment corresponding to the screened vehicle based on the emulsification screening condition, in order to improve the accuracy of the oil increment corresponding to the screened vehicle, by comparing the size relationship between the actual speed and the speed threshold, the size relationship between the ambient temperature and the first temperature threshold, and the size relationship between the coolant temperature and the second temperature threshold, it is possible to determine the total number of times that the actual speed corresponding to the target vehicle is greater than the speed threshold, the ambient temperature is less than the first temperature threshold, and the coolant temperature is less than the second temperature threshold. When the total number is equal to the preset value, the target vehicle is determined to be a screened vehicle, and then the oil increment corresponding to the screened vehicle can be determined based on the total number of screenings corresponding to the screened vehicle. 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 oil emulsification based on the evaluation results.
[0106] In some possible implementation examples, combined with Figure 4 ,like Figure 5 As shown, the above S131 can be specifically implemented through the following S1310.
[0107] S1310. Determine the oil increment corresponding to the screened vehicles based on the pre-fitted fitting function and the total number of screenings; wherein the fitting function includes the corresponding relationship between the total number of screenings and the oil increment.
[0108] In some examples, in order to analyze the oil increment corresponding to the screened vehicles, the oil quantity of the historical vehicles with oil increment and the total number of screenings corresponding to the historical vehicles with oil increment are obtained, so that a fitting function can be fitted:
[0109] y=ax 2 +bx+c;
[0110] Among them, a, b, c are fitting parameters, x represents the total number of screenings, and y represents the oil increment.
[0111] Exemplarily, the fitting function based on the historical oil quantity of vehicles with increased oil and the total number of screenings corresponding to the historical vehicles with increased oil is as shown in Formula 1:
[0112] y=0.000813997x 2 -0.15449x+11.7425, formula 1.
[0113] The corresponding relationship between at least one screened vehicle and the total number of screened vehicles is shown in Table 4.
[0114] Table 4
[0115] Filter Vehicles Total number of screens Screening Vehicle 1 134 Screening Vehicle 2 126 Screening Vehicles 3 112
[0116] Based on Table 4 and Formula 1, it can be determined that the oil increment corresponding to the screening vehicle 1 is 5.65 ml, the oil increment corresponding to the screening vehicle 2 is 5.20 ml, and the oil increment corresponding to the screening vehicle 3 is 4.65 ml.
[0117] 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 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, based on the pre-fitted fitting function and the total number of screenings, the oil increment corresponding to 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.
[0118] In some possible implementation examples, combined with Figure 1 ,like Figure 6 As shown, the above S14 can be specifically implemented through the following S140.
[0119] S140: When the oil increment is less than a preset increment, determining that the evaluation result of the oil emulsification of the screened vehicle is slight emulsification.
[0120] In some examples, when the oil increment is 0, the assessment result of whether the oil emulsification occurs in the screened vehicle is determined to be no emulsification.
[0121] In some examples, the preset increment is 20%.
[0122] 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 obtain 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 and the corresponding target parameter set when the engine is used can be determined 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 vehicle; thus, the vehicle that may have oil emulsification can be determined. Then, based on the emulsification screening condition and the target parameter set corresponding to the screened vehicle, the oil increment corresponding to the screened vehicle 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, such as: when the oil increment is less than the preset increment, the evaluation result of the oil emulsification of the screened vehicle is determined to be slight emulsification. In this way, the user can determine that the vehicle has the phenomenon of oil emulsification, and the degree of oil emulsification is slight emulsification.
[0123] In some possible implementation examples, combined with Figure 1 ,like Figure 7 As shown, the above S14 can be specifically implemented through the following S141.
[0124] S141. When the oil increment is greater than or equal to a preset increment, determining that the evaluation result of the oil emulsification of the screened vehicle is severe emulsification.
[0125] 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 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 emulsification screening condition and the target parameter set corresponding to the screened vehicle, the oil increment corresponding to the screened vehicle 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, such as: when the oil increment is greater than or equal to the preset increment, the evaluation result of the oil emulsification of the screened vehicle is determined to be severe emulsification. In this way, the user can determine that the vehicle has a severe emulsification phenomenon. In this way, the user can determine that the vehicle has an oil emulsification phenomenon and the degree of oil emulsification is severe emulsification.
[0126] In some possible implementation examples, combined with Figure 1 As shown in FIG8 , the method for evaluating the emulsification of engine oil provided in the embodiment of the present disclosure further includes: S15 and S16.
[0127] S15. Generate a solution based on the evaluation result, wherein the evaluation result includes any one of slight emulsification and severe emulsification.
[0128] In some examples, when the evaluation result is unemulsification, there is no need to generate a prompt message.
[0129] S16. Generate prompt information including a solution; wherein the prompt information is used to indicate a process for resolving the emulsification of the engine oil.
[0130] 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.
[0131] Exemplarily, the corresponding relationship is shown in Table 5.
[0132] Table 5
[0133]
[0134] It can be seen that when the evaluation result is slight emulsification, it can be seen from Table 5 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 is greater than M (such as 50) minutes; high-speed conditions: average speed is greater than A3 (such as: 80km / h), and driving distance is greater than L (such as: 30km).
[0135] When the evaluation result is severe emulsification, it can be seen from Table 5 that the corresponding solution for severe emulsification is to replace the engine oil and filter.
[0136] In this way, users can choose the solution based on the prompt information.
[0137] 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 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 emulsification screening condition and the target parameter set corresponding to the screened vehicle, the oil increment corresponding to 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 oil emulsification of the screened vehicle can be determined based on the oil increment. Finally, based on the evaluation result, a solution is generated, and a prompt message containing the solution is generated. In this way, the user can solve the phenomenon of oil emulsification in the vehicle based on the prompt message to ensure the user experience.
[0138] Embodiment 2
[0139] 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 data simulation device includes: an acquisition module 80 and a processing module 81.
[0140] 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, a target parameter set corresponding to the use of the engine, the target parameter set including at least one operating parameter and an environmental parameter corresponding to the operating parameter; the processing module 81 is used to screen the target vehicle based on the usage record obtained by the acquisition module 80 to obtain a screened vehicle; the processing module 81 is also used to determine the oil increment corresponding to the screened vehicle based on the emulsification screening condition and the target parameter set corresponding to the screened vehicle; the processing module 81 is also used to determine the evaluation result of oil emulsification of the screened vehicle based on the oil increment.
[0141] In some feasible examples, the usage record includes the mileage of the target vehicle from each time the engine is started to each time the engine is shut down; the processing module 81 is specifically used to filter the target vehicles based on the mileage to obtain filtered vehicles.
[0142] In some implementable examples, the acquisition module 80 is specifically used to obtain a target mileage that is less than a short mileage threshold; wherein the target mileage includes any one of the driving mileages; the processing module 81 is specifically used to calculate a first total mileage corresponding to the sum of all driving mileages, and a second total mileage corresponding to the sum of all target mileages obtained by the acquisition module 80; the processing module 81 is specifically used to screen target vehicles based on the maximum driving mileage, the first total mileage and the second total mileage to obtain screened vehicles.
[0143] In some implementable examples, the operating parameters include actual speed and coolant temperature, and the environmental parameters include ambient temperature; the acquisition module 80 is specifically used to obtain the total number of screenings that meet the emulsification screening conditions in the target parameter set corresponding to the screening vehicle; the processing module 81 is specifically used to determine the oil increment corresponding to the screening vehicle based on the total number of screenings obtained by the acquisition module 80.
[0144] In some feasible examples, the emulsification screening conditions include: the actual speed is greater than the speed threshold, the ambient temperature is less than the first temperature threshold, and the ratio of the total number of times the coolant temperature is less than the second temperature threshold to the total number of operating parameters included in the target parameter set is greater than or equal to a preset ratio.
[0145] In some feasible examples, the emulsification screening conditions include: the actual speed is greater than the speed threshold, the ambient temperature is less than the first temperature threshold, and the total number of times the coolant temperature is less than the second temperature threshold is equal to a preset value.
[0146] In some implementable examples, the processing module 81 is specifically used to determine the oil increment corresponding to the screened vehicle based on a pre-fitted fitting function and the total number of screenings; wherein the fitting function includes the corresponding relationship between the total number of screenings and the oil increment.
[0147] In some practicable examples, the processing module 81 is specifically configured to determine that the evaluation result of the occurrence of engine oil emulsification in the screened vehicle is slight emulsification when the engine oil increment is less than a preset increment.
[0148] In some practicable examples, the processing module 81 is specifically configured to determine that the evaluation result of the oil emulsification of the screened vehicle is severe emulsification when the oil increment is greater than or equal to a preset increment.
[0149] In some practicable examples, the processing module 81 is further used to generate a solution based on the evaluation result, wherein the evaluation result includes any one of slight emulsification and severe emulsification. The processing module 81 is further used to generate prompt information containing a solution, wherein the prompt information is used to indicate a process for solving the emulsification of the engine oil.
[0150] 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.
[0151] 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.
[0152] 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 .
[0153] Combine the following Fig.10 A detailed introduction to the various components of electronic equipment:
[0154] 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).
[0155] 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.10 51 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).
[0156] 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.
[0157] 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.
[0158] 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.
[0159] 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.
[0160] As an example, combining Fig. 9The functions implemented by the acquisition module 80 of the data simulation device are similar to those 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.
[0161] An embodiment of the present application also provides an electronic device, which may include the electronic device in any embodiment.
[0162] 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.
[0163] 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, a target parameter set corresponding to the use of the engine, the target parameter set including 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; Determining the oil increment corresponding to the screened vehicle based on the emulsification screening condition and the target parameter set corresponding to 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 usage record includes the mileage of the target vehicle from each time the engine is started to each time the engine is turned off; The step of screening the target vehicle based on the usage record to obtain the screened vehicle includes: The target vehicles are screened based on the mileage to obtain screened vehicles.
3. The method for evaluating engine oil emulsification according to claim 2, characterized in that: The step of screening the target vehicles based on the mileage to obtain screened vehicles includes: Acquire a target mileage that is less than a short mileage threshold; wherein the target mileage includes any one of the driving mileages; Calculating a first total mileage corresponding to the sum of all the driving mileages, and a second total mileage corresponding to the sum of all the target mileages; The target vehicles are screened based on the maximum driving mileage, the first total mileage and the second total mileage to obtain screened vehicles.
4. The method for evaluating engine oil emulsification according to claim 1, characterized in that: The operating parameters include actual speed and coolant temperature, and the environmental parameters include ambient temperature; the step of determining the oil increment corresponding to the screened vehicle based on the emulsification screening condition and the target parameter set corresponding to the screened vehicle includes: Obtaining the total number of screenings that meet the emulsification screening condition in the target parameter set corresponding to the screening vehicle; Based on the screening total, an oil increment corresponding to the screened vehicle is determined.
5. The method for evaluating engine oil emulsification according to claim 4, characterized in that: The emulsification screening conditions include: The ratio of the total number of times the actual speed is greater than the speed threshold, the ambient temperature is less than the first temperature threshold, and the coolant temperature is less than the second temperature threshold to the total number of operating parameters included in the target parameter set is greater than or equal to a preset ratio.
6. The method for evaluating engine oil emulsification according to claim 4, characterized in that: The emulsification screening conditions include: The total number of times that the actual rotation speed is greater than the rotation speed threshold, the ambient temperature is less than the first temperature threshold, and the coolant temperature is less than the second temperature threshold is equal to a preset value.
7. The method for evaluating engine oil emulsification according to claim 3, characterized in that: The determining, based on the total number of screening, the oil increment corresponding to the screened vehicle comprises: Based on a pre-fitted fitting function and the total number of screenings, the oil increment corresponding to the screened vehicles is determined; wherein the fitting function includes a corresponding relationship between the total number of screenings and the oil increment.
8. The method for evaluating engine oil emulsification according to claim 1, characterized in that: The step of determining the evaluation result of the occurrence of engine oil emulsification in the screening vehicle based on the engine oil increment includes: When the engine oil increment is less than a preset increment, it is determined that the evaluation result of the engine oil emulsification occurring in the screening vehicle is slight emulsification.
9. The method for evaluating engine oil emulsification according to claim 1, characterized in that: The step of determining the evaluation result of the occurrence of engine oil emulsification in the screening vehicle based on the engine oil increment includes: When the engine oil increment is greater than or equal to a preset increment, it is determined that the evaluation result of the engine oil emulsification occurring in the screened vehicle is severe emulsification.
10. The method for evaluating engine oil emulsification according to claim 1, characterized in that: The method further comprises: Based on the evaluation result, a solution is generated; wherein the evaluation result includes any one of slight emulsification and severe emulsification; Generate prompt information including the solution; wherein the prompt information is used to indicate the process of resolving the emulsification of the engine oil.
11. 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, a target parameter set corresponding to the use of the engine, the target parameter set including 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 used to determine the oil increment corresponding to the screened vehicle based on the emulsification screening condition and the target parameter set corresponding to 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.
12. 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 10 when executing the computer program.
13. 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 10 when executed by a processor.