CN112699648B - Data processing method and device - Google Patents
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- CN112699648B CN112699648B CN202110003013.4A CN202110003013A CN112699648B CN 112699648 B CN112699648 B CN 112699648B CN 202110003013 A CN202110003013 A CN 202110003013A CN 112699648 B CN112699648 B CN 112699648B
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Abstract
The application provides a data processing method and device, wherein the method comprises the following steps: the method comprises the steps of obtaining calibration data of terminal equipment of a vehicle, wherein the calibration data are used for calibrating fault data in a fault management system of the terminal equipment of the vehicle, processing the calibration data to obtain a fault management program, and the fault management program is used for carrying out fault management and fault diagnosis on the terminal equipment of the vehicle and sending the fault management program to control equipment of the vehicle. Compared with the prior art, the method and the device for calibrating the data have the advantages that the calibration work of the data is advanced, the calibration data is automatically extracted when a fault management program is generated, and form filling and data calibration are not needed, so that the form maintenance and data synthesis work is simplified.
Description
Technical Field
The present invention relates to the field of fault management technologies, and in particular, to a data processing method and apparatus.
Background
Fault management refers to management operations in the event of an abnormal condition of the system, and is a series of activities for dynamically maintaining normal operation of the network and achieving a certain service level. Fault management of devices is an important aspect of the state of the art management of production field devices. The comprehensive fault management is to perform comprehensive and effective supervision, control, analysis and research on elements of faults, including fault positions, phenomena, degrees, occurrence time, frequency, reasons and the like, and take corresponding countermeasures to eliminate obstacles.
The existing fault management system data management needs to fill in the form first, and then extract the data in the form during integration. But form filling errors or form format errors may cause problems with integrated reporting errors or integrated program errors.
Furthermore, some data require data creation followed by data synthesis, and the fault management system of the development platform cannot be used normally for clients without data creation and synthesis tools. Therefore, the existing fault management system is difficult to maintain in form production and data synthesis.
Disclosure of Invention
The embodiment of the application provides a data processing method and device, which are used for solving the problem of high maintenance difficulty of table making and data synthesis in a fault management system in the prior art.
A first aspect of the present application provides a data processing method, the method comprising:
acquiring calibration data of terminal equipment of a vehicle, wherein the calibration data are used for calibrating fault data in a fault management system of the terminal equipment of the vehicle;
processing the calibration data to obtain a fault management program, wherein the fault management program is used for carrying out fault processing and fault diagnosis on the terminal equipment of the vehicle;
and sending the fault management program to a control device of the vehicle.
In an alternative embodiment, the calibration data includes fault level, fault priority, fault validation time, and fault cure time.
In an alternative embodiment, the processing the calibration data to obtain the fault management program includes:
and inputting the calibration data into a fault management model to obtain a fault management program output by the fault management model, wherein the fault management model is used for simulating fault management of terminal equipment of the vehicle by using the calibration data to generate the fault management program.
In an alternative embodiment, the fault management program for inputting the calibration data into a fault management model and obtaining the output of the fault management model includes:
dividing the calibration data into at least one fault array according to the fault name of the calibration data;
and inputting the fault array into the fault management model to obtain a fault management program output by the fault management model.
In an alternative embodiment, the dividing the calibration data into at least one fault array according to the fault name of the calibration data includes:
determining the fault type of the calibration data according to the fault name of the calibration data;
sorting the calibration data according to the fault types of the calibration data, wherein the fault types comprise time types and event types;
dividing the ordered calibration data into at least one fault array.
A second aspect of the present application provides a data processing apparatus, the apparatus comprising:
the system comprises an acquisition module, a calibration module and a control module, wherein the acquisition module is used for acquiring calibration data of terminal equipment of a vehicle, and the calibration data is used for calibrating fault data in a fault management system of the terminal equipment of the vehicle;
the processing module is used for processing the calibration data to obtain a fault management program, and the fault management program is used for carrying out fault processing and fault diagnosis on the terminal equipment of the vehicle;
and the sending module is used for sending the fault management program to the control equipment of the vehicle.
In an alternative embodiment, the calibration data includes fault level, fault priority, fault validation time, and fault cure time.
In an alternative embodiment, the processing module is further configured to input the calibration data into a fault management model, to obtain a fault management program output by the fault management model, where the fault management model is configured to simulate fault management of a terminal device of the vehicle using the calibration data, and generate the fault management program.
In an alternative embodiment, the processing module is further configured to divide the calibration data into at least one failure array according to a failure name of the calibration data;
the sending module is further configured to input the fault array into the fault management model, so as to obtain a fault management program output by the fault management model.
In an optional implementation manner, the processing module is further configured to determine a fault type of the calibration data according to a fault name of the calibration data; sorting the calibration data according to the fault types of the calibration data, wherein the fault types comprise time types and event types; dividing the ordered calibration data into at least one fault array.
A third aspect of the present application provides an electronic device, comprising:
a processor and a memory;
the memory is used for storing a computer program;
the processor is configured to invoke and run a computer program stored in the memory for performing the method according to the first aspect.
A fourth aspect of the present application provides a chip comprising: a processor for calling and running a computer program from a memory, causing a device on which the chip is mounted to perform the method according to the first aspect.
A fifth aspect of the present application provides a computer readable storage medium storing a computer program for causing a computer to perform the method according to the first aspect.
A sixth aspect of the present application provides a computer program product comprising computer program information for causing a computer to perform the method according to the first aspect.
A seventh aspect of the present application provides a computer program for causing a computer to perform the method as described in the first aspect.
According to the data processing method and device, firstly, calibration data of the terminal equipment of the vehicle are obtained, the calibration data are used for calibrating fault data in a fault management system of the terminal equipment of the vehicle, then the calibration data are processed to obtain a fault management program, the fault management program is used for carrying out fault management and fault diagnosis on the terminal equipment of the vehicle, and finally the fault management program is sent to the control equipment of the vehicle. Compared with the prior art, the method and the device for calibrating the data have the advantages that the calibration work of the data is advanced, the calibration data is automatically extracted when a fault management program is generated, and form filling and data calibration are not needed, so that the form maintenance and data synthesis work is simplified.
Drawings
In order to more clearly illustrate the invention or the technical solutions of the prior art, the following description of the embodiments or the drawings used in the description of the prior art will be given in brief, it being obvious that the drawings in the description below are some embodiments of the invention and that other drawings can be obtained from them without inventive effort for a person skilled in the art.
Fig. 1 is an application scenario schematic diagram of a data processing method provided in an embodiment of the present application;
fig. 2 is a schematic flow chart of a data processing method according to an embodiment of the present application;
FIG. 3 is a flowchart illustrating another data processing method according to an embodiment of the present disclosure;
FIG. 4 is a flowchart illustrating another data processing method according to an embodiment of the present disclosure;
FIG. 5 is a flowchart of another data processing method according to an embodiment of the present disclosure;
FIG. 6 is a schematic diagram of a data processing apparatus according to the present application;
fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
The fault management system has more data, complex form and great management difficulty, and is managed by adopting a mode of combining data after list extraction and integration at present. The existing fault management system data management needs to fill in the form first, and then extract the data in the form during integration. But form filling errors or form format errors may cause problems with integrated reporting errors or integrated program errors. Furthermore, some data require data creation followed by data synthesis, and the fault management system of the development platform cannot be used normally for clients without data creation and synthesis tools. Therefore, the existing fault management system is difficult to maintain in form production and data synthesis.
In order to solve the problems, the application provides a data processing method and a data processing device, wherein data of corresponding variables are filled in a model through a related module library in the process of advancing data calibration work to the model building, related variables are directly extracted and defined according to the filled data in the process of integration, normal use programs and data are directly generated, and secondary synthesis data are not needed, so that form maintenance and data synthesis work are simplified.
The application scenario of the present application is described below.
Fig. 1 is an application scenario schematic diagram of a data processing method according to an embodiment of the present application. As shown in fig. 1, includes: a terminal device 001, a control device 002 of the vehicle, and a terminal device 003 of the vehicle. The terminal device 001 acquires the calibration data of the fault in the terminal device 003 of the vehicle, the terminal device 001 processes the calibration data to obtain a fault management program, the terminal device 001 transmits the obtained fault management program to the control terminal 002 of the vehicle, and the control terminal 002 of the vehicle executes the fault management program to manage and monitor the fault of the terminal device 003 of the vehicle. The terminal device 001 builds a model by simulation software, inputs the acquired calibration data of the terminal device 003 of the vehicle into the model to obtain a fault management program output by the model, and then sends the fault management program to the control device 002 of the vehicle, and the control device 002 of the vehicle performs fault management and monitoring on the terminal device 003 of the vehicle.
The terminal device may be a computer with a wireless transceiving function, a Virtual Reality (VR) terminal device, an augmented reality (augmented reality, AR) terminal device, a mobile phone (mobile phone), a tablet (pad), a wireless terminal in industrial control (industrial control), a wireless terminal in teleoperation (remote medical surgery), a wireless terminal in smart grid (smart grid), a wireless terminal in smart home (smart home), and the like.
Optionally, in the present application, the calibration data of the terminal device of the vehicle may be processed by the server to obtain a fault management program, and then the fault management program is sent to the control device of the vehicle, where the control device of the vehicle executes the fault management program. And performing fault management and monitoring on the terminal equipment of the vehicle.
In the embodiment of the present application, the means for implementing the function of data processing may be a terminal device or a server, or may be a means capable of supporting implementation of the function, for example, a chip system, and the means may be installed in the terminal device or the server. In the embodiment of the application, the chip system may be formed by a chip, and may also include a chip and other discrete devices.
It should be noted that, the application scenario of the technical solution of the present application may be the scenario in fig. 1, but is not limited thereto, and may also be applied to scenarios of other data processing.
It may be understood that the above-mentioned data processing method may be implemented by using a data processing apparatus provided in the embodiments of the present application, where the data processing apparatus may be part or all of a certain device, for example, the terminal device or a chip of the terminal device.
The following takes a data processing device integrated with or installed with related execution codes as an example, and specific embodiments are used for describing the technical solutions of the embodiments of the present application in detail. The following embodiments may be combined with each other, and some embodiments may not be repeated for the same or similar concepts or processes.
Fig. 2 is a flow chart of a data processing method provided in the embodiment of the present application, where an execution body of the embodiment is a terminal device, and relates to a specific process of data processing. As shown in fig. 2, the method includes:
s101, acquiring calibration data of terminal equipment of a vehicle.
The calibration data are used for calibrating fault data in a fault management system of the terminal equipment of the vehicle, and the calibration data comprise fault grades, fault priorities, fault confirmation time and fault cure time.
The calibration data is determined according to the performance of the terminal equipment of the vehicle, that is, the calibration data of the terminal equipment of different vehicles are different, and the fault management program can be used differently without a calibration tool based on the calibration data of the terminal equipment of different vehicles.
For example, a data configuration module is developed in the application, and the data configuration module contains configuration items required by various fault management systems such as fault names, fault grades, fault priorities, fault confirmation time, fault cure time, driving cycle number required by fault confirmation and the like. In the present application, the data module is configured according to the terminal device of the vehicle, and then the calibration data is extracted.
S102, processing the calibration data to obtain a fault management program.
The fault management program is used for carrying out fault processing and fault diagnosis on the terminal equipment of the vehicle.
The processing mode of the calibration data is not limited in the application, and the calibration data can be divided into fault arrays by way of example.
Illustratively, determining the fault type of the calibration data according to the fault name of the calibration data; and sorting the calibration data according to the fault types of the calibration data, and dividing the sorted calibration data into at least one fault array.
Wherein the fault type comprises a time type, an event type and the like. Illustratively, the fault names of the calibration data are automatically ordered by fault type, e.g., time type is ordered from 1 back, after the type is ordered, the faults of event type are ordered, and so on.
In the present application, the dividing manner of the fault array is not limited, and exemplary, as shown in the following table, the fault level, the fault priority, the fault confirmation time and the fault cure time are divided into the fault arrays according to the order.
The five fault names provided in table 1 are ranked according to the order of the fault names, the fault priority, the fault confirmation time, and the fault cure time.
TABLE 1
Wherein GZ1-GZ5 are short for fault names, and exemplary specific faults may be a fault that the battery voltage exceeds an upper limit, the battery voltage exceeds a lower limit, the fuel pressure value exceeds an upper limit, the fuel pressure value exceeds a lower limit, and the intake air temperature is unreliable.
According to the information in table 1, the fault array obtained in the application is: fault group a [ 01 3 3 2 1]; fault group b [ 02 2 1 3 3]; fault group c [0 50 50 50 60 60]; and the fault group d [0 100 100 200 200 200], wherein the fault group a, the fault group b, the fault group c and the fault group d are respectively a fault grade array, a fault priority array, a fault confirmation time array and a fault cure time array.
In an alternative mode, as shown in the following table, a data configuration module is added in the fault management model, calibration data is configured in the data configuration module, when the fault management module is integrated, a script is used for automatically reading the model, variable definition and data assignment are automatically generated by reading data filled in by the data configuration module, and a program generated by the model is the fault management program and does not need to perform independent data synthesis work.
Table 2 is a case where calibration data is configured in the data configuration module in the present application.
TABLE 2
Optionally, the calibration data is input into a fault management model to obtain a fault management program output by the fault management model.
The fault management model is used for simulating fault management of the terminal equipment of the vehicle by using the calibration data, and generating a fault management program.
In the application, the mode of inputting the calibration data into the fault management model to obtain the fault management program output by the fault management model is not limited, and the calibration data is divided into at least one fault array according to the fault name of the calibration data by way of example; and inputting the fault array into a fault management model to obtain a fault management program output by the fault management model.
S103, the fault management program is sent to control equipment of the vehicle.
In this step, the fault management program is transmitted to the control device of the vehicle.
In the present application, the type of the control device of the vehicle is not limited, and may be exemplified by an electronic control unit (Electronic Control Unit, ECU).
The control device of the vehicle receives the fault management program, performs fault diagnosis, fault processing and monitoring operation of the terminal device of the vehicle according to the fault management program, and judges whether fault storage and fault output are performed according to the fault name and the corresponding fault grade, fault priority, fault confirmation time and fault cure time when the fault is detected. The fault names are ranked according to fault types, so that the fault names can be conveniently found when faults are detected, and the corresponding fault grades, the fault priorities, the fault confirmation time and the fault cure time can be comprehensively judged according to the ranks.
In practical situations, since the number of faults is large, all faults cannot be output, and faults to be output need to be judged according to the fault level, the fault priority, the fault confirmation time and the fault cure time.
The fault management program development platform provided by the application is oriented to various clients, has wide application fields, comprises traditional commercial vehicles, hydraulic types, new energy types and the like, has more concentrated application fields or product types of some clients, does not modify or calibrate data frequently, does not have special data synthesis or calibration tools, and provides a solution for the clients, wherein the fault management system can be used according to the differentiation of the terminal equipment of the vehicle without the calibration tools; for data modification and calibration, the development platform does not need special data synthesis and calibration tools, and the tool threshold of using the fault management system is reduced.
The data processing method provided by the embodiment of the application comprises the following steps: firstly, obtaining calibration data of terminal equipment of a vehicle, wherein the calibration data are used for calibrating fault data in a fault management system of the terminal equipment of the vehicle, then processing the calibration data to obtain a fault management program, the fault management program is used for carrying out fault management and fault diagnosis on the terminal equipment of the vehicle, and finally, the fault management program is sent to control equipment of the vehicle. Compared with the prior art, the method and the device for calibrating the data have the advantages that the calibration work of the data is advanced, the calibration data is automatically extracted when a fault management program is generated, and form filling and data calibration are not needed, so that the form maintenance and data synthesis work is simplified.
On the basis of the above embodiment, the case where the calibration data is processed to obtain the fault management program will be described below. Fig. 3 is a flow chart of another data processing method according to an embodiment of the present application, as shown in fig. 3, where the method includes:
s201, acquiring calibration data of terminal equipment of the vehicle.
S202, inputting the calibration data into a fault management model to obtain a fault management program output by the fault management model.
S203, the fault management program is sent to the control equipment of the vehicle.
The technical terms, effects, features, and alternative embodiments of S201-S203 may be understood with reference to S101-S103 shown in fig. 2, and will not be described in detail herein for repeated matters.
On the basis of the foregoing embodiments, fig. 4 is a schematic flow chart of another data processing method according to an embodiment of the present application, as shown in fig. 4, where the method includes:
s301, acquiring calibration data of terminal equipment of a vehicle.
S302, dividing the calibration data into at least one fault array according to the fault name of the calibration data.
S303, inputting the fault array into a fault management model to obtain a fault management program output by the fault management model.
S304, the fault management program is sent to control equipment of the vehicle.
The technical terms, effects, features, and alternative embodiments of S301-S304 may be understood with reference to S101-S103 shown in fig. 2, and will not be further described herein for repeated matters.
On the basis of the foregoing embodiment, fig. 5 is a schematic flow chart of another data processing method according to an embodiment of the present application, as shown in fig. 5, where the method includes:
s401, determining the fault type of the calibration data according to the fault name of the calibration data.
S402, sorting the calibration data according to the fault types of the calibration data.
S403, dividing the ordered calibration data into at least one fault array.
The technical terms, effects, features, and alternative embodiments of S401-S403 may be understood with reference to S102 shown in fig. 2, and will not be described again here for repeated contents.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware associated with program instructions, where the foregoing program may be stored in a computer readable storage medium, and when executed, the program performs steps including the above method embodiments; and the aforementioned storage medium includes: various media that can store program code, such as ROM, RAM, magnetic or optical disks.
Fig. 6 is a schematic structural diagram of a data processing apparatus provided in the present application, where the data processing apparatus may be implemented by software, hardware, or a combination of the two. As shown in fig. 6, the data processing apparatus 500 includes: an acquisition module 501, a processing module 502 and a sending module 503.
The acquiring module 501 is configured to acquire calibration data of a terminal device of a vehicle, where the calibration data is used to calibrate fault data in a fault management system of the terminal device;
the processing module 502 is configured to process the calibration data to obtain a fault management program, where the fault management program is configured to perform fault processing and fault diagnosis on a terminal device of the vehicle;
a transmitting module 503 for transmitting the fault management program to the control device of the vehicle.
In an alternative embodiment, the calibration data includes fault level, fault priority, fault validation time, and fault cure time.
In an alternative embodiment, the processing module 502 is further configured to input the calibration data into a fault management model, to obtain a fault management program output by the fault management model, where the fault management model is configured to simulate fault management of a terminal device of the vehicle using the calibration data, and generate the fault management program.
In an alternative embodiment, the processing module 502 is further configured to divide the calibration data into at least one failure array according to the failure name of the calibration data;
the sending module 503 is further configured to input the fault array into a fault management model, and obtain a fault management program output by the fault management model.
In an alternative embodiment, the processing module 502 is further configured to determine a fault type of the calibration data according to the fault name of the calibration data; sorting the calibration data according to the fault types of the calibration data, wherein the fault types comprise time types and event types; dividing the ordered calibration data into at least one fault array.
It should be noted that, the data processing apparatus provided in the embodiments of the present application may be used to execute the method provided in any of the embodiments, and the specific implementation manner and technical effects are similar, and are not repeated here.
Fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application. As shown in fig. 7, the electronic device may include: at least one processor 601 and a memory 602. Fig. 7 shows an electronic device, for example, a processor.
A memory 602 for storing programs. In particular, the program may include program code including computer-operating instructions.
The memory 602 may include high-speed RAM memory or may further include non-volatile memory (non-volatile memory), such as at least one disk memory.
The processor 601 is configured to execute computer-executable instructions stored in the memory 602 to implement the data processing method described above;
the processor 601 may be a central processing unit (Central Processing Unit, abbreviated as CPU), or an application specific integrated circuit (Application Specific Integrated Circuit, abbreviated as ASIC), or one or more integrated circuits configured to implement embodiments of the present application.
Alternatively, in a specific implementation, if the communication interface, the memory 602, and the processor 601 are implemented independently, the communication interface, the memory 602, and the processor 601 may be connected to each other through a bus and perform communication with each other. The bus may be an industry standard architecture (Industry Standard Architecture, abbreviated ISA) bus, an external device interconnect (Peripheral Component, abbreviated PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, abbreviated EISA) bus, among others. Buses may be divided into address buses, data buses, control buses, etc., but do not represent only one bus or one type of bus.
Alternatively, in a specific implementation, if the communication interface, the memory 602, and the processor 601 are integrated on a chip, the communication interface, the memory 602, and the processor 601 may complete communication through an internal interface.
The embodiment of the application also provides a chip, which comprises a processor and an interface. Wherein the interface is used for inputting and outputting data or instructions processed by the processor. The processor is configured to perform the methods provided in the method embodiments above. The chip can be applied to a data processing device.
The present application also provides a computer-readable storage medium, which may include: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, etc., in which program codes can be stored, and specifically, the computer-readable storage medium stores therein program information for the above-described data processing method.
The present application also provides a program which, when executed by a processor, is configured to perform the data processing method provided by the above method embodiment.
The present application also provides a program product, such as a computer readable storage medium, having instructions stored therein, which when run on a computer, cause the computer to perform the data processing method provided by the above-described method embodiments.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions in accordance with embodiments of the present invention are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another, for example, by wired (e.g., coaxial cable, fiber optic, digital Subscriber Line (DSL)), or wireless (e.g., infrared, wireless, microwave, etc.) means from one website, computer, server, or data center. Computer readable storage media can be any available media that can be accessed by a computer or data storage devices, such as servers, data centers, etc., that contain an integration of one or more available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid State Disk (SSD)), etc.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.
Claims (7)
1. A method of data processing, the method comprising:
acquiring calibration data of terminal equipment of a vehicle, wherein the calibration data are used for calibrating fault data in a fault management system of the terminal equipment of the vehicle;
processing the calibration data to obtain a fault management program, wherein the fault management program is used for carrying out fault processing and fault diagnosis on the terminal equipment of the vehicle;
transmitting the fault management program to a control device of the vehicle; so that the control device of the vehicle performs fault diagnosis, fault processing and monitoring on the terminal device of the vehicle;
the processing of the calibration data to obtain a fault management program comprises the following steps:
dividing the calibration data into at least one fault array according to the fault name of the calibration data; inputting the fault array into the fault management model to obtain a fault management program output by the fault management model; the fault management model is built for simulation software; the fault management model is used for simulating fault management of the terminal equipment of the vehicle by using the calibration data, and generating the fault management program;
the dividing the calibration data into at least one fault array according to the fault name of the calibration data includes:
determining the fault type of the calibration data according to the fault name of the calibration data; sorting the calibration data according to the fault types of the calibration data, wherein the fault types comprise time types and event types; dividing the ordered calibration data into at least one fault array;
the fault management model comprises a data configuration module, wherein the calibration data is configured in the data configuration module; the step of inputting the fault array into the fault management model to obtain a fault management program output by the fault management model comprises the following steps: and using a script to read the fault management model, automatically generating variable definitions and data assignments, and generating the fault management program.
2. The method of claim 1, wherein the calibration data includes a failure level, a failure priority, a failure validation time, and a failure cure time.
3. A data processing apparatus, the apparatus comprising:
the system comprises an acquisition module, a calibration module and a control module, wherein the acquisition module is used for acquiring calibration data of terminal equipment of a vehicle, and the calibration data is used for calibrating fault data in a fault management system of the terminal equipment of the vehicle;
the processing module is used for processing the calibration data to obtain a fault management program, and the fault management program is used for carrying out fault processing and fault diagnosis on the terminal equipment of the vehicle;
a transmission module configured to transmit the fault management program to a control device of the vehicle; so that the control device of the vehicle performs fault diagnosis, fault processing and monitoring on the terminal device of the vehicle;
the processing module is further used for inputting the calibration data into a fault management model to obtain a fault management program output by the fault management model, and the fault management model is used for simulating fault management of terminal equipment of the vehicle by using the calibration data to generate the fault management program;
the processing module is further used for dividing the calibration data into at least one fault array according to the fault name of the calibration data;
the sending module is further configured to input the fault array into the fault management model to obtain a fault management program output by the fault management model;
the processing module is also used for determining the fault type of the calibration data according to the fault name of the calibration data; sorting the calibration data according to the fault types of the calibration data, wherein the fault types comprise time types and event types; dividing the ordered calibration data into at least one fault array;
the fault management model comprises a data configuration module, wherein the calibration data is configured in the data configuration module; the sending module is specifically configured to read the fault management model by using a script, automatically generate variable definitions and data assignments, and generate the fault management program.
4. A device according to claim 3, wherein the calibration data includes fault level, fault priority, fault validation time and fault cure time.
5. An electronic device, comprising: a processor and a memory;
the memory is used for storing a computer program;
the processor is configured to invoke and run a computer program stored in the memory to perform the method according to any of claims 1-2.
6. A chip, comprising: a processor for calling and running a computer program from a memory, causing a device on which the chip is mounted to perform the method of any of claims 1-2.
7. A computer readable storage medium storing a computer program for causing a computer to perform the method of any one of claims 1-2.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109345658A (en) * | 2018-10-29 | 2019-02-15 | 百度在线网络技术（北京）有限公司 | Restorative procedure, device, equipment, medium and the vehicle of Vehicular system failure |
| CN110933090A (en) * | 2019-12-03 | 2020-03-27 | 山东爱德邦智能科技有限公司 | Fault monitoring method and device for electric vehicle and related components |
| CN111890933A (en) * | 2020-06-11 | 2020-11-06 | 恒大恒驰新能源汽车研究院(上海)有限公司 | Battery management method and system for vehicle, vehicle and server |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109345658A (en) * | 2018-10-29 | 2019-02-15 | 百度在线网络技术（北京）有限公司 | Restorative procedure, device, equipment, medium and the vehicle of Vehicular system failure |
| CN110933090A (en) * | 2019-12-03 | 2020-03-27 | 山东爱德邦智能科技有限公司 | Fault monitoring method and device for electric vehicle and related components |
| CN111890933A (en) * | 2020-06-11 | 2020-11-06 | 恒大恒驰新能源汽车研究院(上海)有限公司 | Battery management method and system for vehicle, vehicle and server |
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