CN109116830B - Method and system for predicting fault - Google Patents
Method and system for predicting fault Download PDFInfo
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- CN109116830B CN109116830B CN201810910205.1A CN201810910205A CN109116830B CN 109116830 B CN109116830 B CN 109116830B CN 201810910205 A CN201810910205 A CN 201810910205A CN 109116830 B CN109116830 B CN 109116830B
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- 238000007689 inspection Methods 0.000 claims description 3
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- 239000003921 oil Substances 0.000 description 52
- 238000003745 diagnosis Methods 0.000 description 9
- 239000000295 fuel oil Substances 0.000 description 8
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- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
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Abstract
The invention discloses a method and a system for predicting faults. Wherein, this system includes: the vehicle-mounted terminal is arranged on a vehicle and used for determining the rail pressure reduction slope of an oil sprayer in the vehicle according to the rail pressure parameters and the running time of the vehicle; and the vehicle networking platform is connected with the vehicle-mounted terminal and used for predicting whether the oil injector has fault hidden danger or not according to the rail pressure reduction slope. The invention solves the technical problem that the vehicle fault detection scheme in the prior art adopts related measures to diagnose the fault after the vehicle has a fault, and can not realize the fault prediction.
Description
Technical Field
The invention relates to the field of fault detection, in particular to a method and a system for predicting a fault.
Background
With the improvement of the living standard of people, automobiles become necessary trip edge devices for families, but with the popularization of various vehicles such as automobiles, the problems of vehicle faults, such as difficult starting of an engine, oil leakage of the automobile, water leakage of the automobile, failure of a lighting system and the like, can be frequently encountered during the driving and the use of the vehicles. When the vehicle is driven and used, the personal and property safety of users can be threatened to different degrees due to the vehicle failure.
However, in the fault detection schemes in the prior art, fault diagnosis is performed after a vehicle has a fault, and then the fault is confirmed and maintained, so that the vehicle fault cannot be predicted.
In the vehicle fault detection method in the prior art, an effective solution is not provided at present, aiming at the problem that after a vehicle has a fault, relevant measures are taken to carry out fault diagnosis, and the fault can not be predicted.
Disclosure of Invention
The embodiment of the invention provides a method and a system for predicting faults, which at least solve the technical problem that the fault prediction cannot be realized by adopting relevant measures to carry out fault diagnosis after a vehicle has a fault in the vehicle fault detection scheme in the prior art.
According to an aspect of an embodiment of the present invention, there is provided a system for predicting a fault, including: the vehicle-mounted terminal is arranged on a vehicle and used for determining the rail pressure reduction slope of an oil sprayer in the vehicle according to the rail pressure parameters and the running time of the vehicle; and the vehicle networking platform is connected with the vehicle-mounted terminal and used for predicting whether the oil injector has fault hidden danger or not according to the rail pressure reduction slope.
Further, the vehicle-mounted terminal is also used for receiving the rail pressure parameter and the running time output by the engine system controller; the above-mentioned vehicle terminal includes: and an analyzer for determining the rail pressure decrease slope by analyzing the rail pressure parameter and the operating time.
Further, the in-vehicle terminal includes: the first communication module is connected with the analyzer and used for sending the rail pressure reduction slope; the above-mentioned car networking platform includes: the second communication module is connected with the first communication module and used for receiving the rail pressure reduction slope; and the processor is connected with the second communication module and used for inputting the rail pressure reduction slope into a fault prediction data model and analyzing the rail pressure reduction slope through the fault prediction data model so as to predict whether the oil injector has fault hidden danger.
Further, the vehicle networking platform predicts whether the oil injector has a hidden fault danger or not through the fault prediction data model: determining the wear rate of the valve seat of the oil injector according to the rail pressure descending slope; determining the life of the valve seat according to the wear rate of the valve seat; and predicting whether the hidden trouble of the oil injector is in failure or not according to the service life of the valve seat and the running time.
Further, under the condition that the service life value of the valve seat does not reach a preset threshold value and the running time is longer than a preset time, the condition that the fault hidden danger does not exist in the oil injector is predicted; and under the condition that the service life value of the valve seat reaches the preset threshold value and the running time is less than or equal to the preset time, predicting that the oil injector has fault hidden danger.
Further, the in-vehicle terminal includes: and the warning device is connected with the processor and used for outputting warning information to a target user, wherein the warning information is used for indicating the target user to carry out maintenance and inspection on the fuel injector.
Further, the processor is further configured to generate a failure prediction analysis report corresponding to the failure, where the failure prediction analysis report at least includes: predicting analysis basis and processing opinion; the second communication module is further connected with the processor and is used for outputting the failure prediction analysis report to a target user.
According to another aspect of the embodiments of the present invention, there is also provided a method for predicting a fault, including: receiving rail pressure parameters and running time of a vehicle; determining a rail pressure decrease slope of an injector in the vehicle based on the rail pressure parameter and the operating time; and predicting whether the oil injector has the hidden trouble according to the rail pressure reduction slope.
Further, predicting whether the fuel injector has a hidden fault according to the rail pressure reduction slope includes: determining the wear rate of the valve seat of the oil injector according to the rail pressure descending slope; determining the life of the valve seat according to the wear rate of the valve seat; and predicting whether the oil injector has the hidden trouble or not according to the service life of the valve seat and the running time.
Further, predicting whether the injector has the hidden trouble according to the service life of the valve seat and the operation time includes: under the condition that the service life value of the valve seat does not reach a preset threshold value and the running time is longer than a preset time, predicting that the oil injector has no hidden trouble; and under the condition that the service life value of the valve seat reaches the preset threshold value and the running time is less than or equal to the preset time, predicting that the oil injector has fault hidden danger.
According to another aspect of the embodiments of the present invention, there is also provided a storage medium, where the storage medium includes a stored program, and when the program runs, the apparatus where the storage medium is located is controlled to perform the following steps: receiving rail pressure parameters and running time of a vehicle; determining a rail pressure decrease slope of an injector in the vehicle based on the rail pressure parameter and the operating time; and predicting whether the oil injector has the hidden trouble according to the rail pressure reduction slope.
According to another aspect of the embodiments of the present invention, there is also provided a processor, configured to execute a program, where the program executes the following steps: receiving rail pressure parameters and running time of a vehicle; determining a rail pressure decrease slope of an injector in the vehicle based on the rail pressure parameter and the operating time; and predicting whether the oil injector has the hidden trouble according to the rail pressure reduction slope.
In the embodiment of the invention, a fault prediction mode is adopted, and the fault prediction mode is arranged on a vehicle through a vehicle-mounted terminal and used for determining the rail pressure reduction slope of an oil sprayer in the vehicle according to the rail pressure parameters and the running time of the vehicle; and the vehicle networking platform is connected with the vehicle-mounted terminal and used for predicting whether the oil injector has fault hidden danger or not according to the rail pressure reduction slope. The purpose of predicting the impending vehicle fault in advance and handling the vehicle fault in a planned and preventive manner is achieved, so that the technical effects of improving the vehicle use experience of a user and improving the safety of the vehicle are achieved, and the technical problems that the vehicle fault detection scheme in the prior art adopts related measures to diagnose the fault after the vehicle has the fault and the fault prediction cannot be realized are solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a schematic diagram of a system for predicting a fault according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an alternative system for predicting faults in accordance with embodiments of the present invention;
FIG. 3 is a flow chart of a method of predicting a fault according to an embodiment of the present invention;
FIG. 4 is a flow diagram of an alternative method of predicting a fault according to an embodiment of the present invention; and
fig. 5 is a schematic diagram of an apparatus for predicting a fault according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
First, in order to facilitate understanding of the embodiments of the present invention, some terms or nouns referred to in the present invention will be explained as follows:
vehicle-mounted T-BOX: and the vehicle-mounted remote information processor is used for communicating with the vehicle networking platform/mobile phone APP to realize vehicle information display and control of the mobile phone APP.
Example 1
According to an embodiment of the present invention, an embodiment of a system for predicting a fault is provided, and fig. 1 is a schematic diagram of a system for predicting a fault according to an embodiment of the present invention, as shown in fig. 1, the system for predicting a fault includes: the vehicle-mounted terminal 10 and the vehicle networking platform 12, wherein:
the system comprises an on-board terminal 10, a control unit and a control unit, wherein the on-board terminal 10 is arranged on a vehicle and used for determining the rail pressure reduction slope of an oil injector in the vehicle according to the rail pressure parameters and the running time of the vehicle; and the vehicle networking platform 12 is connected with the vehicle-mounted terminal 10 and is used for predicting whether the oil injector has a hidden fault according to the rail pressure reduction slope.
In an alternative embodiment, the vehicle-mounted terminal 10 may be, but is not limited to: the system comprises a ministerial all-in-one machine, a vehicle data recorder, a vehicle-mounted multimedia navigation system, a vehicle-mounted T-BOX and the like, wherein a vehicle-mounted terminal is front-end equipment of a vehicle monitoring management system (or a vehicle networking system), and any one type of vehicle-mounted terminal can be applied to various aspects such as vehicle dynamic monitoring, vehicle positioning, vehicle data acquisition, emergency event processing, vehicle control and the like.
In another optional embodiment, the car networking platform 12 may be a background system of a car networking system, and may also be a mobile APP platform, where the car networking system includes: host computer, vehicle terminal, cell-phone APP and backstage system, the audio-visual amusement of host computer mainly used to and vehicle information display.
In the embodiment of the present application, the vehicle-mounted terminal may, but is not limited to, acquire the communication data and the diagnostic data through a built-in data acquisition module, and analyze the communication data and the diagnostic data through a built-in data analysis module to obtain an analysis result corresponding to the electronic control system controller, where each of the electronic control system controllers and the analysis result exist correspondingly.
In the embodiment of the application, the tag data corresponding to the analysis result and the analysis result can be acquired in the historical time period, wherein the tag data is used for indicating the state of the vehicle component. In the embodiment of the application, the analysis result and the label data can be correspondingly stored in the database so that a machine learning training can be carried out to establish a fault prediction data model, and the vehicle networking platform can predict whether the vehicle part has fault hidden danger according to the input analysis result.
In the above embodiment of the present application, the internet of vehicles platform 12 may pre-establish a corresponding failure prediction data model for each important vehicle component in the electrical control systems of the engine system, the transmission system, the anti-lock braking system, the body control system, etc., and the vehicle components that are prone to failure (e.g., components such as a spark plug, an injector, an intake manifold, a water temperature sensor, a clutch, a coolant pump, an accelerator pedal, a brake pedal, a timing belt, etc.), perform predictive analysis on the analysis results stored in the vehicle condition database, and may pre-determine the operation state of each vehicle component in the specific vehicle, where the operation state includes at least one of the following: good operation, general operation, bad operation, impending failure, failed and the like. Optionally, the running state which runs well and runs normally is a state without hidden trouble of failure.
In an optional embodiment, the electronic control system controller includes at least one of: an engine system controller (an engine running computer, namely an engine ECU), a gearbox system controller, a brake anti-lock system controller and a vehicle body control system controller; the state of the vehicle component includes at least one of: the hidden trouble of failure does not exist, the hidden trouble of failure exists, and the failure occurs.
As an alternative embodiment, in the case that the electronic control system controller is the engine system controller, the on-board terminal obtains a rail pressure parameter output by the engine system controller and an operating time of the vehicle in advance, and obtains a rail pressure decrease slope of an injector of the vehicle by analyzing the rail pressure parameter and the operating time; and the vehicle networking platform predicts whether the hidden trouble of the oil sprayer is in failure or not by taking the rail pressure reduction slope as the input of a failure prediction data model.
In an alternative embodiment, as shown in fig. 2, the vehicle-mounted terminal is further configured to receive the rail pressure parameter and the operation time output by the engine system controller; the in-vehicle terminal 10 includes: a resolver 101 for determining the rail pressure decrease slope by resolving the rail pressure parameter and the operation time.
Optionally, the rail pressure parameter may be a rail pressure parameter of a fuel oil burner, and the engine system controller may acquire the rail pressure parameter of the fuel oil burner and output the rail pressure parameter to the vehicle-mounted terminal; the engine system controller can also acquire the running time of the engine as the running time of the vehicle and output the running time to the vehicle-mounted terminal, and the vehicle-mounted terminal obtains the rail pressure reduction slope of the fuel injector of the vehicle by analyzing the rail pressure parameter and the running time.
In an alternative embodiment, as shown in fig. 2, the vehicle-mounted terminal 10 includes: a first communication module 103, connected to the analyzer, for transmitting the rail pressure decrease slope; the above-mentioned car networking platform 12 includes: a second communication module 121 connected to the first communication module for receiving the rail pressure drop slope; and the processor 123 is connected with the second communication module and is configured to input the rail pressure decrease slope into a fault prediction data model, and analyze the rail pressure decrease slope through the fault prediction data model to predict whether the fuel injector has a fault hidden danger.
Optionally, the first communication module and the second communication module may be a GPRS module, a WIFi module, a bluetooth module, or the like, and the processor may be a processing chip or the like.
In an optional embodiment, the predicting, by the vehicle networking platform, whether the injector has the hidden fault through the fault prediction data model includes: determining the wear rate of the valve seat of the oil injector according to the rail pressure descending slope; determining the life of the valve seat according to the wear rate of the valve seat; and predicting whether the hidden trouble of the oil injector is in failure or not according to the service life of the valve seat and the running time.
In the following, taking the above-mentioned electronic control system controller as an example of an engine system controller, the vehicle-mounted terminal collects target parameters as shown in the following table 1 every 1 second when the engine is running:
TABLE 1
| Parameter number | Target parameter | Unit of parameter |
| 1 | Actual rail pressure of fuel burner | bar |
| 2 | Running time of vehicle | h |
| 3 | Rotational speed of engine | RPM |
In the optional embodiment, the vehicle-mounted terminal may collect the rail pressure parameter of the fuel oil burner first to obtain the actual rail pressure of the fuel oil burner, and collect the running time of the vehicle; then analyzing the descending slope of the rail pressure of the oil sprayer to obtain the valve seat wear rate of the oil sprayer (the valve seat wear rate range is 0-100%); wherein the rail pressure of the new fuel injector can be reduced from 1600bar to 400bar within 7 seconds; rail pressure of a moderately worn fuel injector may drop from 1600bar to 400bar within 4 seconds; the rail pressure of the abraded fuel injector may drop from 1600 to 400bar within 2 seconds.
In addition, the valve seat wear rate of the fuel injector corresponds to the specific valve seat life of the fuel injector (in the embodiment of the application, a database of wear rates corresponding to valve seat lives is preset in the car networking platform, and the database of wear rates corresponding to valve seat lives can be used as the valve seat life database, for example); the car networking platform calculates a service life value R from the wear rate of 60% to the wear rate of 80% in a valve seat service life database according to a pre-established fault prediction data model; and calculating the engine running time T from the valve seat wear rate of 60% to the wear rate of 80%, and predicting whether the oil injector has the hidden trouble of failure according to the service life of the valve seat and the running time of the vehicle.
In an optional embodiment, when the life value of the valve seat does not reach a predetermined threshold and the operation time is longer than a predetermined time, predicting that the injector has no fault hidden trouble; and under the condition that the service life value of the valve seat reaches the preset threshold value and the running time is less than or equal to the preset time, predicting that the oil injector has fault hidden danger.
In addition, in an optional embodiment, the vehicle-mounted terminal further includes: and the warning device is connected with the processor and used for outputting warning information to a target user, wherein the warning information is used for indicating the target user to carry out maintenance and inspection on the fuel injector.
Alternatively, the above-mentioned warning device may be, but is not limited to, an acoustic warning device, a light warning device, an acousto-optic warning device, etc. Optionally, the predetermined threshold may be a value R80 — and the predetermined time period may be 100 hours, which is not specifically limited in comparison in the embodiment of the present application, and values of the predetermined threshold and the predetermined time period may be adjusted according to a specific scheme, on the basis that a person skilled in the art may implement the scheme of the present application.
As an alternative embodiment, the valve seat life corresponding to a wear rate of 80% in the valve seat life database is R80; correcting the R80 value to be an R80_ value; r80 — value R80R/T; and the R80_ value is a corrected value of the residual service life of 80% of the wear rate of the valve seat, the actual running time of the engine is continuously monitored, and under the condition that the running time of the R80_ vehicle is less than or equal to 100 hours, a warning message is output to a target user through a warning device in the vehicle-mounted terminal, and the warning message can timely remind the user of maintaining and checking the valve seat of an oil injector in the vehicle so as to avoid vehicle faults caused by overhigh wear rate of the valve seat.
Through the vehicle failure prediction scheme provided in the embodiment of the application, the impending failure of the vehicle can be known in advance, the impending failure of the vehicle can be dealt with in a planned and preventive manner, great convenience can be brought, and the safety of the vehicle can be greatly improved.
In an optional embodiment, the processor is further configured to generate a failure prediction analysis report corresponding to the failure, where the failure prediction analysis report at least includes: predicting analysis basis and processing opinion; the second communication module is further connected with the processor and is used for outputting the failure prediction analysis report to a target user.
The system for predicting a fault provided by the embodiments of the present application is exemplified by an alternative embodiment of the system for predicting a fault, so as to facilitate understanding of the embodiments of the present application:
a data acquisition module in the vehicle-mounted terminal acquires communication data of each electric control system controller of the automobile on a CAN bus through the CAN bus of the automobile and simultaneously acquires diagnosis data of each electric control system controller of the automobile according to a diagnosis protocol; the data analysis module in the vehicle-mounted terminal analyzes the communication data and the diagnosis data to form various analysis results, the data items still comprise the communication data and the diagnosis data, and the data items are classified and classified corresponding to each electric control system controller; and transmitting the analysis results to the Internet of vehicles platform through a 2G/4G communication module (namely a first communication module) in the vehicle-mounted terminal according to a certain communication rule.
In the Internet of vehicles platform, the data items are stored in a vehicle working condition database, and a fault prediction analysis module corresponding to each electric control system controller acquires the data items to be analyzed corresponding to the electric control system controller from the vehicle working condition database; for example, in the engine system failure prediction analysis module, a failure prediction data model is established for each important part in the engine and frequently-failed vehicle parts (such as a spark plug, an oil injector, an air intake manifold, a water temperature sensor, a clutch, a coolant pump, an accelerator pedal, a brake pedal, a timing belt and the like), and the running state of each vehicle part is analyzed through a large number of data items stored in a vehicle working condition database, so that a predictive judgment can be made on the running state of each vehicle part: the system has the advantages of good running, general running, bad running, impending failure, failure and the like, wherein, the components which are impending to failure are output, analyzed, judged and treated to obtain detailed automobile failure prediction and analysis reports which are fed back to a vehicle driver or an automobile maintenance service provider, thereby greatly improving the maintenance level of the vehicle and simultaneously changing the current automobile failure maintenance mode: and the maintenance is carried out after the fault occurs, and the troubleshooting and maintenance are carried out after the fault is predicted.
In the embodiment of the invention, a fault prediction mode is adopted, and the fault prediction mode is arranged on a vehicle through a vehicle-mounted terminal and used for determining the rail pressure reduction slope of an oil sprayer in the vehicle according to the rail pressure parameters and the running time of the vehicle; and the vehicle networking platform is connected with the vehicle-mounted terminal and used for predicting whether the oil injector has fault hidden danger or not according to the rail pressure reduction slope. The purpose of predicting the impending vehicle fault in advance and handling the vehicle fault in a planned and preventive manner is achieved, so that the technical effects of improving the vehicle use experience of a user and improving the safety of the vehicle are achieved, and the technical problems that the vehicle fault detection scheme in the prior art adopts related measures to diagnose the fault after the vehicle has the fault and the fault prediction cannot be realized are solved.
It should be noted that the specific structure of the system for predicting a fault shown in fig. 1 to 2 in the present application is only an illustration, and the system for predicting a fault in the present application may have more or less structures than the system for predicting a fault shown in fig. 1 to 2 in specific applications.
It should be further noted that any one of the optional or preferred methods for predicting a fault in embodiment 1 above may be implemented or realized in the system for predicting a fault provided in this embodiment.
Example 2
In accordance with an embodiment of the present invention, there is provided an embodiment of a method of predicting a failure, it being noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than presented herein.
Fig. 3 is a flow chart of a method of predicting a fault according to an embodiment of the present invention, as shown in fig. 3, the method including the steps of:
step S102, receiving rail pressure parameters and running time of a vehicle;
step S104, determining the rail pressure reduction slope of the fuel injector in the vehicle according to the rail pressure parameter and the running time;
and S106, predicting whether the oil injector has a hidden fault or not according to the rail pressure reduction slope.
In an optional embodiment, the execution subject of the steps S102 to S106 may be but is not limited to a car networking platform, and the car networking platform may be a background system of a car networking system, and may also be a mobile APP platform, where the car networking system includes: host computer, vehicle terminal, cell-phone APP and backstage system, the audio-visual amusement of host computer mainly used to and vehicle information display.
In an optional embodiment, the vehicle networking platform may receive the rail pressure parameter and the running time of the vehicle sent by the vehicle terminal, where the vehicle terminal may be, but is not limited to: the system comprises a ministerial all-in-one machine, a vehicle data recorder, a vehicle-mounted multimedia navigation system, a vehicle-mounted T-BOX and the like, wherein a vehicle-mounted terminal is front-end equipment of a vehicle monitoring management system (or a vehicle networking system), and any one type of vehicle-mounted terminal can be applied to various aspects such as vehicle dynamic monitoring, vehicle positioning, vehicle data acquisition, emergency event processing, vehicle control and the like.
In an optional implementation manner, an electronic control system controller is disposed in the vehicle-mounted terminal, and the electronic control system controller includes at least one of: the system comprises an engine system controller (an engine running computer, namely an engine ECU), a gearbox system controller, a brake anti-lock system controller and a vehicle body control system controller. The vehicle-mounted terminal in the embodiment of the application is communicated with the electric control system controllers through the CAN bus.
In this embodiment of the application, the vehicle-mounted terminal may, but is not limited to, acquire the communication data and the diagnostic data through a built-in data acquisition module, and analyze the communication data and the diagnostic data through a built-in data analysis module to obtain an analysis result corresponding to the electronic control system controller.
In the above embodiment of the present application, the internet of vehicles platform may be used to build a corresponding fault prediction data model for each important vehicle component in an electrical control system such as an engine system, a transmission system, an anti-lock braking system, a body control system, etc., and a vehicle component prone to fault (for example, components such as a spark plug, an injector, an intake manifold, a water temperature sensor, a clutch, a coolant pump, an accelerator pedal, a brake pedal, a timing belt, etc.), perform predictive analysis on the analysis result stored in the vehicle condition database, and may predict an operation state of each vehicle component in the specific vehicle, where the operation state includes at least one of the following: good operation, general operation, bad operation, impending failure, failed and the like.
In an optional embodiment, in a case where the electronic control system controller is the engine system controller, the on-board terminal obtains a rail pressure parameter output by the engine system controller and an operating time of the vehicle in advance, and obtains a rail pressure decrease slope of an injector of the vehicle by analyzing the rail pressure parameter and the operating time; and the vehicle networking platform predicts whether the oil injector has a hidden fault danger or not by taking the rail pressure reduction slope as the input of a fault prediction data model.
Optionally, the rail pressure parameter may be a rail pressure parameter of a fuel oil burner, and the engine system controller may acquire the rail pressure parameter of the fuel oil burner and output the rail pressure parameter to the vehicle-mounted terminal; the engine system controller can also acquire the running time of the vehicle as the running time of the vehicle and output the running time to the vehicle-mounted terminal, and the vehicle-mounted terminal obtains the rail pressure reduction slope of the fuel injector of the vehicle by analyzing the rail pressure parameter and the running time.
Through the vehicle failure prediction scheme provided in the embodiment of the application, the impending failure of the vehicle can be known in advance, the impending failure of the vehicle can be dealt with in a planned and preventive manner, great convenience can be brought, and the safety of the vehicle can be greatly improved.
In the embodiment of the invention, a fault prediction mode is adopted, and the fault prediction mode is arranged on a vehicle through a vehicle-mounted terminal and used for determining the rail pressure reduction slope of an oil sprayer in the vehicle according to the rail pressure parameters and the running time of the vehicle; and the vehicle networking platform is connected with the vehicle-mounted terminal and used for predicting whether the oil injector has fault hidden danger or not according to the rail pressure reduction slope. The purpose of predicting the impending vehicle fault in advance and handling the vehicle fault in a planned and preventive manner is achieved, so that the technical effects of improving the vehicle use experience of a user and improving the safety of the vehicle are achieved, and the technical problems that the vehicle fault detection scheme in the prior art adopts related measures to diagnose the fault after the vehicle has the fault and the fault prediction cannot be realized are solved.
In an optional embodiment, predicting whether the injector has a potential fault according to the rail pressure drop slope includes:
step S202, determining the wear rate of the valve seat of the oil injector according to the rail pressure reduction slope;
step S204, determining the service life of the valve seat according to the wear rate of the valve seat;
and step S206, predicting whether the oil injector has the hidden trouble or not according to the service life of the valve seat and the running time.
In an optional embodiment, the vehicle-mounted terminal can firstly acquire the rail pressure parameters of the fuel oil burner to obtain the actual rail pressure of the fuel oil burner and acquire the running time of the vehicle; then analyzing the descending slope of the rail pressure of the oil sprayer to obtain the valve seat wear rate of the oil sprayer (the valve seat wear rate range is 0-100%); wherein the rail pressure of the new fuel injector can be reduced from 1600bar to 400bar within 7 seconds; rail pressure of a moderately worn fuel injector may drop from 1600bar to 400bar within 4 seconds; the rail pressure of the abraded fuel injector may drop from 1600 to 400bar within 2 seconds.
In addition, the valve seat wear rate of the fuel injector corresponds to the specific valve seat life of the fuel injector (in the embodiment of the application, a database of wear rates corresponding to valve seat lives is preset in the car networking platform, and the database of wear rates corresponding to valve seat lives can be used as the valve seat life database, for example); the car networking platform calculates a service life value R from the wear rate of 60% to the wear rate of 80% in a valve seat service life database according to a pre-established fault prediction data model; and calculating the engine running time T from the valve seat wear rate of 60% to the wear rate of 80%, and predicting whether the oil injector has the hidden trouble of failure according to the service life of the valve seat and the running time of the vehicle.
In an optional embodiment, predicting whether the injector has a potential failure based on the life of the valve seat and the operating time includes:
step S302, under the condition that the service life value of the valve seat does not reach a preset threshold value and the running time is longer than a preset time, predicting that the oil injector has no hidden trouble;
and step S304, predicting that the injector has a fault hidden danger under the condition that the service life value of the valve seat reaches the preset threshold value and the running time is less than or equal to the preset time.
Optionally, the predetermined threshold may be a value R80 — and the predetermined time period may be 100 hours, which is not specifically limited in comparison in the embodiment of the present application, and values of the predetermined threshold and the predetermined time period may be adjusted according to a specific scheme, on the basis that a person skilled in the art may implement the scheme of the present application.
As an alternative embodiment, the valve seat life corresponding to a wear rate of 80% in the valve seat life database is R80; correcting the R80 value to be an R80_ value; r80 — value R80R/T; the R80_ value is a corrected value of the residual service life of 80% of the wear rate of the valve seat, the actual running time of the engine is continuously monitored, and when the running time of the vehicle is less than or equal to 100 hours in R80_, namely, when the fault hidden danger of the fuel injector is predicted, warning information is output to a target user through a warning device in the vehicle-mounted terminal, and the warning information can timely remind the user of maintaining and checking the valve seat of the fuel injector in the vehicle so as to avoid vehicle faults caused by the overhigh wear rate of the valve seat.
Through the vehicle failure prediction scheme provided in the embodiment of the application, the impending failure of the vehicle can be known in advance, the impending failure of the vehicle can be dealt with in a planned and preventive manner, great convenience can be brought, and the safety of the vehicle can be greatly improved.
In an alternative embodiment, after predicting that the fuel injector will fail, the method further comprises the steps of:
step S202, generating a failure prediction analysis report corresponding to a failure, wherein the failure prediction analysis report at least includes: predicting analysis basis and processing opinion;
and step S204, sending the fault prediction analysis report to a target user.
Alternatively, the target user may be, but is not limited to, a user such as a vehicle driver or a car repair service provider. In the above optional embodiment of the present application, the processor in the car networking platform may further generate a prediction analysis basis and a processing suggestion corresponding to the fault, form a detailed car fault prediction analysis report, and feed the report back to a vehicle driver or a car maintenance service provider, so as to greatly improve a vehicle maintenance level, and simultaneously change a current car fault maintenance mode: and the maintenance is carried out after the fault occurs, and the troubleshooting and maintenance are carried out after the fault is predicted.
Fig. 4 is a flowchart of an alternative method for predicting a fault according to an embodiment of the present invention, and the method for predicting a fault provided in the embodiment of the present application is exemplarily described below by an embodiment of an alternative method for predicting a fault as shown in fig. 4, so as to facilitate understanding of the embodiment of the present application:
step S401 starts.
And step S402, the vehicle-mounted terminal acquires target parameters of at least one electric control system controller.
In an alternative embodiment, the vehicle-mounted terminal may be, but is not limited to: the system comprises a department and logo all-in-one machine, a vehicle data recorder, a vehicle-mounted multimedia navigation system, a vehicle-mounted T-BOX and the like.
In another optional implementation manner, the vehicle-mounted terminal in the embodiment of the present application communicates with each of the above-mentioned electronic control system controllers through a CAN bus. The electric control system controller comprises at least one of the following components: an engine system controller (an engine running computer, namely an engine ECU), a gearbox system controller, a brake anti-lock system controller and a vehicle body control system controller; the state of the vehicle component includes at least one of: the hidden trouble of failure does not exist, the hidden trouble of failure exists, and the failure occurs.
And step S403, the vehicle-mounted terminal obtains an analysis result corresponding to the electric control system controller by analyzing the target parameter.
As an alternative embodiment, the target parameters may include, but are not limited to: the vehicle-mounted terminal can but is not limited to acquire the communication data and the diagnosis data through a built-in data acquisition module, and analyze the communication data and the diagnosis data through a built-in data analysis module to obtain an analysis result corresponding to the electric control system controller.
And S404, the Internet of vehicles platform receives the analysis result from the vehicle-mounted terminal.
Step S405 is to predict whether or not a vehicle component corresponding to the electronic control system controller is likely to have a failure, using the analysis result as an input of a failure prediction data model.
Wherein, the above-mentioned failure prediction data model uses multiunit data to train through machine learning, and every group data in the above-mentioned multiunit data all includes: the analysis result and tag data, wherein the tag data is used for indicating the state of the vehicle component.
In the above embodiments of the present application, the internet of vehicles platform may be used to establish a corresponding failure prediction data model for each important vehicle component in an electrical control system such as an engine system, a transmission system, an anti-lock braking system, a body control system, etc., and a vehicle component prone to failure (for example, components such as a spark plug, an injector, an intake manifold, a water temperature sensor, a clutch, a coolant pump, an accelerator pedal, a brake pedal, a timing belt, etc.), and perform prediction analysis on the analysis result stored in the vehicle condition database, so as to predict the state of each vehicle component in the specific vehicle, where the state includes at least one of the following states: the hidden trouble of failure does not exist, the hidden trouble of failure exists, and the failure occurs.
And step S406, predicting whether the vehicle component has the potential failure according to the state of the vehicle component.
In step S406, if the vehicle component is about to fail, step S407 is executed, and if the vehicle component is not about to fail, the process returns to step S402.
In step S407, a failure prediction analysis report corresponding to the vehicle component that is about to fail is generated.
Step S408, sending the failure prediction analysis report to the target user.
In the above steps S407 to S408, the failure prediction module in the vehicle networking platform may further generate an analysis judgment basis and a processing suggestion corresponding to the vehicle component about to fail, form a detailed vehicle failure prediction analysis report, and feed the detailed vehicle failure prediction analysis report back to the vehicle driver or the vehicle maintenance service provider, so as to greatly improve the maintenance level of the vehicle, and change the current vehicle failure maintenance mode: and the maintenance is carried out after the fault occurs, and the troubleshooting and maintenance are carried out after the fault is predicted.
And step S409, ending.
In addition, it should be noted that, for alternative or preferred embodiments of the present embodiment, reference may be made to the relevant description in embodiment 1, and details are not described herein again.
Example 3
According to an embodiment of the present invention, there is also provided an apparatus embodiment for implementing the method for predicting a fault, fig. 5 is a schematic diagram of an apparatus for predicting a fault according to an embodiment of the present invention, and as shown in fig. 5, the apparatus for predicting a fault includes: a receiving module 50, a first determining module 52, and a second determining module 54, wherein:
a receiving module 50 for receiving rail pressure parameters and running time of the vehicle; a first determining module 52 for determining a rail pressure droop slope for an injector in the vehicle based on the rail pressure parameter and the operating time; and a second determination module 54 configured to predict whether the injector has a potential fault according to the rail pressure decrease slope.
It should be noted that the above modules may be implemented by software or hardware, for example, for the latter, the following may be implemented: the modules can be located in the same processor; alternatively, the modules may be located in different processors in any combination.
It should be noted here that the receiving module 50, the first determining module 52 and the second determining module 54 correspond to steps S102 to S106 in embodiment 2, and the modules are the same as the corresponding steps in implementation examples and application scenarios, but are not limited to the disclosure in embodiment 2. It should be noted that the modules described above may be implemented in a computer terminal as part of an apparatus.
It should be noted that, reference may be made to the relevant description in embodiments 1 and 2 for alternative or preferred embodiments of this embodiment, and details are not described here again.
The apparatus for predicting a failure may further include a processor and a memory, where the receiving module 50, the first determining module 52, the second determining module 54, and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to implement corresponding functions.
The processor comprises a kernel, and the kernel calls a corresponding program unit from the memory, wherein one or more than one kernel can be arranged. The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
According to the embodiment of the application, the embodiment of the storage medium is also provided. Optionally, in this embodiment, the storage medium includes a stored program, and the apparatus on which the storage medium is located is controlled to execute any one of the above methods for predicting a failure when the program runs.
Optionally, in this embodiment, the storage medium may be located in any one of a group of computer terminals in a computer network, or in any one of a group of mobile terminals, and the storage medium includes a stored program.
Optionally, the program controls the device on which the storage medium is located to perform the following functions when running: receiving rail pressure parameters and running time of a vehicle; determining a rail pressure decrease slope of an injector in the vehicle based on the rail pressure parameter and the operating time; and predicting whether the oil injector has the hidden trouble according to the rail pressure reduction slope.
Optionally, the program controls the device on which the storage medium is located to perform the following functions when running: determining the wear rate of the valve seat of the oil injector according to the rail pressure descending slope; determining the life of the valve seat according to the wear rate of the valve seat; and predicting whether the oil injector has the hidden trouble or not according to the service life of the valve seat and the running time.
Optionally, the program controls the device on which the storage medium is located to perform the following functions when running: under the condition that the service life value of the valve seat does not reach a preset threshold value and the running time is longer than a preset time, predicting that the oil injector has no hidden trouble; and under the condition that the service life value of the valve seat reaches the preset threshold value and the running time is less than or equal to the preset time, predicting that the oil injector has fault hidden danger.
According to the embodiment of the application, the embodiment of the processor is also provided. Optionally, in this embodiment, the processor is configured to execute a program, where the program executes any one of the methods for predicting a failure.
The embodiment of the application provides equipment, the equipment comprises a processor, a memory and a program which is stored on the memory and can run on the processor, and the following steps are realized when the processor executes the program: receiving rail pressure parameters and running time of a vehicle; determining a rail pressure decrease slope of an injector in the vehicle based on the rail pressure parameter and the operating time; and predicting whether the oil injector has the hidden trouble according to the rail pressure reduction slope.
Optionally, when the processor executes a program, the wear rate of the valve seat of the injector may be determined according to the rail pressure decrease slope; determining the life of the valve seat according to the wear rate of the valve seat; and predicting whether the oil injector has the hidden trouble or not according to the service life of the valve seat and the running time.
Optionally, when the processor executes a program, it may be predicted that the injector does not have a fault risk under the condition that the life value of the valve seat does not reach a predetermined threshold and the operation time is greater than a predetermined time; and under the condition that the service life value of the valve seat reaches the preset threshold value and the running time is less than or equal to the preset time, predicting that the oil injector has fault hidden danger.
The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device: receiving rail pressure parameters and running time of a vehicle; determining a rail pressure decrease slope of an injector in the vehicle based on the rail pressure parameter and the operating time; and predicting whether the oil injector has the hidden trouble according to the rail pressure reduction slope.
Optionally, when the computer program product executes a program, determining a wear rate of a valve seat of the injector according to the rail pressure decrease slope; determining the life of the valve seat according to the wear rate of the valve seat; and predicting whether the oil injector has the hidden trouble or not according to the service life of the valve seat and the running time.
Optionally, when the computer program product executes a program, it may be predicted that the injector does not have a potential fault when the life value of the valve seat does not reach a predetermined threshold and the operation time is greater than a predetermined time; and under the condition that the service life value of the valve seat reaches the preset threshold value and the running time is less than or equal to the preset time, predicting that the oil injector has fault hidden danger.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (8)
1. A system for predicting a fault, comprising:
the vehicle-mounted terminal is arranged on a vehicle and used for determining the rail pressure reduction slope of an oil sprayer in the vehicle according to the rail pressure parameters and the running time of the vehicle;
the vehicle networking platform is connected with the vehicle-mounted terminal and used for predicting whether the oil injector has a hidden fault danger or not according to the rail pressure reduction slope;
the Internet of vehicles platform is also used for predicting whether the oil sprayer has the hidden fault danger or not through a fault prediction data model: determining the wear rate of a valve seat of the oil injector according to the rail pressure descending slope; determining a life of the valve seat in accordance with a wear rate of the valve seat; and predicting whether the oil injector has the hidden trouble or not according to the service life of the valve seat and the operation time.
2. The system of claim 1,
the vehicle-mounted terminal is also used for receiving the rail pressure parameter and the running time output by the engine system controller;
the vehicle-mounted terminal includes: and the analyzer is used for determining the rail pressure reduction slope by analyzing the rail pressure parameter and the running time.
3. The system of claim 2,
the vehicle-mounted terminal further includes: the first communication module is connected with the analyzer and used for sending the rail pressure reduction slope;
the car networking platform includes: the second communication module is connected with the first communication module and used for receiving the rail pressure reduction slope; and the processor is connected with the second communication module and used for inputting the rail pressure reduction slope into a fault prediction data model and analyzing the rail pressure reduction slope through the fault prediction data model so as to predict whether the oil injector has fault hidden danger.
4. The system of claim 1, wherein in the event that the life value of the valve seat does not reach a predetermined threshold and the runtime is greater than a predetermined length of time, predicting that the fuel injector is not potentially faulty; and predicting that the fault hidden danger exists in the fuel injector under the condition that the service life value of the valve seat reaches the preset threshold value and the running time is less than or equal to the preset time.
5. The system of claim 4, wherein the vehicle-mounted terminal further comprises:
and the warning device is connected with the processor and used for outputting warning information to a target user, wherein the warning information is used for indicating the target user to carry out maintenance and inspection on the fuel injector.
6. The system of claim 3,
the processor is further configured to generate a failure prediction analysis report corresponding to the failure, wherein the failure prediction analysis report includes at least: predicting analysis basis and processing opinion;
the second communication module is also connected with the processor and used for outputting the failure prediction analysis report to a target user.
7. A method of predicting a fault, comprising:
receiving rail pressure parameters and running time of a vehicle;
determining a rail pressure reduction slope of a fuel injector in the vehicle according to the rail pressure parameter and the running time;
predicting whether the oil injector has a hidden fault or not according to the rail pressure reduction slope;
predicting whether the fuel injector has the hidden trouble according to the rail pressure reduction slope comprises the following steps:
determining the wear rate of a valve seat of the oil injector according to the rail pressure descending slope;
determining a life of the valve seat in accordance with a wear rate of the valve seat;
and predicting whether the oil sprayer has the hidden trouble or not according to the service life of the valve seat and the running time.
8. The method of claim 7, wherein predicting whether the injector is potentially faulty based on the life of the valve seat and the runtime comprises:
under the condition that the service life value of the valve seat does not reach a preset threshold value and the running time is longer than a preset time, predicting that the oil sprayer does not have fault hidden danger;
and predicting that the fault hidden danger exists in the fuel injector under the condition that the service life value of the valve seat reaches the preset threshold value and the running time is less than or equal to the preset time.
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| US20210342211A1 (en) * | 2019-01-21 | 2021-11-04 | Hewlett-Packard Development Company, L.P. | Fault prediction model training with audio data |
| CN111191400B (en) * | 2019-12-31 | 2023-12-29 | 上海钧正网络科技有限公司 | Vehicle part life prediction method and system based on user fault reporting data |
| CN111176262A (en) * | 2020-01-20 | 2020-05-19 | 东风小康汽车有限公司重庆分公司 | A vehicle fault detection method and system |
| CN113482823B (en) * | 2021-07-02 | 2023-03-03 | 东风商用车有限公司 | Method and device for diagnosing fault of fuel injection system and automobile with device |
| CN118793531B (en) * | 2024-09-10 | 2025-01-17 | 潍柴动力股份有限公司 | An engine fault diagnosis optimization method based on working condition portrait and related device |
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