CN112699648A - Data processing method and device - Google Patents
Data processing method and device Download PDFInfo
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- CN112699648A CN112699648A CN202110003013.4A CN202110003013A CN112699648A CN 112699648 A CN112699648 A CN 112699648A CN 202110003013 A CN202110003013 A CN 202110003013A CN 112699648 A CN112699648 A CN 112699648A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/166—Editing, e.g. inserting or deleting
- G06F40/174—Form filling; Merging
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/166—Editing, e.g. inserting or deleting
- G06F40/177—Editing, e.g. inserting or deleting of tables; using ruled lines
- G06F40/18—Editing, e.g. inserting or deleting of tables; using ruled lines of spreadsheets
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
Abstract
The application provides a data processing method and a device, wherein the method comprises the following steps: the method comprises the steps of obtaining calibration data of the terminal equipment of the vehicle, wherein the calibration data is 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 conducting 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 have the advantages that the calibration work of the data is advanced, the calibration data is automatically extracted when the 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 operation in the case of system abnormality, and is a series of activities for dynamically maintaining normal operation of the network and achieving a certain service level. Fault management of equipment is an important part of the management of the state of the art of production field devices. The overall fault management means that the elements of the fault, including fault location, phenomenon, degree, occurrence time, frequency, cause, etc., are comprehensively and effectively monitored, controlled, analyzed and researched, and corresponding countermeasures are taken to eliminate the obstacle.
The existing fault management system needs to fill in a form firstly and extract data in the form during integration. However, errors in filling out the form or in formatting the form may cause errors in the integration or errors in the integrated program.
Moreover, some data need to be generated first and then synthesized, and for a client without data generation and synthesis tools, the fault management system of the development platform cannot be used normally. Therefore, the maintenance difficulty of table making and data synthesis in the existing fault management system is large.
Disclosure of Invention
The embodiment of the application provides a data processing method and device, and aims to solve the problem that in the prior art, the maintenance difficulty of table making and data synthesis in a fault management system is high.
A first aspect of the present application provides a data processing method, the method including:
acquiring calibration data of terminal equipment of a vehicle, wherein the calibration data is 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 terminal equipment of the vehicle;
transmitting the fault management program to a control device of the vehicle.
In an alternative embodiment, the calibration data includes a fault level, a fault priority, a fault confirmation time, and a fault healing time.
In an optional implementation manner, 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 optional implementation manner, the fault management program that inputs the calibration data into a fault management model to obtain an 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 optional implementation manner, 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;
sequencing the calibration data according to the fault type of the calibration data, wherein the fault type comprises a time type and an event type;
and dividing the sorted 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 fault management module and a fault management 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 sending module for sending the fault management program to a control device of the vehicle.
In an alternative embodiment, the calibration data includes a fault level, a fault priority, a fault confirmation time, and a fault healing time.
In an optional implementation manner, 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 by using the calibration data, and generate the fault management program.
In an optional implementation manner, the processing module is further configured to divide the calibration data into at least one fault array according to a fault name of the calibration data;
and the sending module is also used for inputting the fault array into the fault management model 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; sequencing the calibration data according to the fault type of the calibration data, wherein the fault type comprises a time type and an event type; and dividing the sorted 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 execute the computer program stored in the memory to perform the method according to the first aspect.
A fourth aspect of the present application provides a chip comprising: a processor for calling and running the computer program from the memory so that the device on which the chip is installed performs the method according to the first aspect.
A fifth aspect of the present application provides a computer-readable storage medium for storing a computer program for causing a computer to perform the method according to the first aspect.
A sixth aspect of the application provides a computer program product comprising computer program information to make a computer execute 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 according to the first aspect.
According to the data processing method and device provided by the embodiment of the application, calibration data of the terminal device of the vehicle are firstly obtained and used for calibrating fault data in a fault management system of the terminal device 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 device of the vehicle, and finally the fault management program is sent to the control device of the vehicle. Compared with the prior art, the method and the device have the advantages that the calibration work of the data is advanced, the calibration data is automatically extracted when the 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 technical solutions of the present invention or the prior art, the following briefly introduces the drawings needed to be used in the description of the embodiments or the prior art, and obviously, the drawings in the following description are some embodiments of the present invention, and those skilled in the art can obtain other drawings according to the drawings without inventive labor.
Fig. 1 is a schematic view of an application scenario of a data processing method according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a data processing method according to an embodiment of the present application;
fig. 3 is a schematic flow chart of another data processing method according to an embodiment of the present application;
fig. 4 is a schematic flowchart of another data processing method according to an embodiment of the present application;
fig. 5 is a schematic flowchart of another data processing method according to an embodiment of the present application;
FIG. 6 is a schematic structural diagram of a data processing apparatus provided in the present application;
fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in 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 obvious that the described embodiments are some embodiments of the present application, but not all 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 application.
The fault management system has more data, more complex form and great management difficulty, and currently adopts a data combination mode for management after list extraction and integration. The existing fault management system needs to fill in a form firstly and extract data in the form during integration. However, errors in filling out the form or in formatting the form may cause errors in the integration or errors in the integrated program. Moreover, some data need to be generated first and then synthesized, and for a client without data generation and synthesis tools, the fault management system of the development platform cannot be used normally. Therefore, the maintenance difficulty of table making and data synthesis in the existing fault management system is large.
In order to solve the problems, the data processing method and the data processing device are provided, data calibration work is moved to the model building process, data of corresponding variables are filled in the model through a relevant module library, relevant variables are directly extracted and defined according to the filled data during integration, normal use programs and data are directly generated, secondary data synthesis is not needed, and therefore form maintenance and data synthesis work is simplified.
The following explains an application scenario of the present application.
Fig. 1 is a schematic view of an application scenario 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 calibration data of a fault in the terminal device 003 of the vehicle, then the terminal device 001 processes the calibration data to obtain a fault management program, finally the terminal device 001 sends 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. For example, the terminal device 001 builds a model through 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, so that 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 (AR) terminal device, a mobile phone (mobile phone), a tablet computer (pad), a wireless terminal in industrial control (industrial control), a wireless terminal in remote operation (remote medical supply), 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 server may process calibration data of the terminal device of the vehicle to obtain the fault management program, and then send the fault management program to the control device of the vehicle, where the control device of the vehicle executes the fault management program. And carrying out fault management and monitoring on the terminal equipment of the vehicle.
In the embodiment of the present application, the apparatus for implementing the function of data processing may be a terminal device or a server, or may be an apparatus capable of supporting implementation of the function, such as a chip system, and the apparatus may be installed in the terminal device or the server. In the embodiment of the present application, the chip system may be composed of 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 to this, and may also be applied to other data processing scenarios.
It can be understood that the data processing method can be implemented by the data processing apparatus provided in the embodiment of the present application, and the data processing apparatus may be a 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 apparatus integrated or installed with relevant execution codes as an example, and details the technical solution of the embodiment of the present application with specific embodiments. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
Fig. 2 is a schematic flow chart of a data processing method according to an embodiment of the present application, where an execution main 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, obtaining calibration data of the terminal equipment of the vehicle.
The calibration data is used for calibrating fault data in a fault management system of the terminal equipment of the vehicle, and the calibration data comprises a fault grade, a fault priority, fault confirmation time and fault healing time.
Moreover, the calibration data is determined according to the performance of the terminal equipment of the vehicle, namely, the calibration data of the terminal equipment of different vehicles is different, and based on the calibration data of the terminal equipment of different vehicles, the fault management program can be used in a differentiated mode without a calibration tool.
For example, a data configuration module is developed in the application, and the data configuration module includes configuration items required by various fault management systems, such as a fault name, a fault level, a fault priority, fault confirmation time, fault healing time, the number of driving cycles required for 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.
And 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 terminal equipment of the vehicle.
In the present application, the processing manner of the calibration data is not limited, and for example, the calibration data may be divided into failure arrays.
Exemplarily, the fault type of the calibration data is determined according to the fault name of the calibration data; and sorting the calibration data according to the fault type of the calibration data, and dividing the sorted calibration data into at least one fault array.
The fault type includes a time type, an event type, and the like. For example, the failure names of the calibration data are automatically sorted according to failure types, for example, the time types are arranged from 1 to the back, after the types are arranged, the failure of the event type is sorted, and so on.
In the present application, the dividing manner of the failure array is not limited, and for example, as shown in the following table, the failure level, the failure priority, the failure confirmation time, and the failure cure time are divided into the failure array according to the order.
In table 1, there are provided a sequence of five fault names and a fault level, a fault priority, a fault confirmation time, and a fault healing time according to the sequence of the fault names.
TABLE 1
Wherein, GZ1-GZ5 are short names of faults, and for example, specific faults may be a fault that the battery voltage exceeds an upper limit, a fault that the battery voltage exceeds a lower limit, a fault that the fuel pressure value exceeds an upper limit, a fault that the fuel pressure value exceeds a lower limit, an unreliable air inlet temperature, and the like.
According to the information in table 1, the fault array obtained by the present application is: fault group a [ 013321 ]; fault group b [ 022133 ]; fault group c [ 05050506060 ]; and a fault group d [ 0100100200200200 ], wherein the fault group a, the fault group b, the fault group c and the fault group d are respectively a fault level array, a fault priority array, a fault confirmation time array and a fault healing time array.
An optional mode is as shown in the following table, a data configuration module is added in the fault management module, calibration data is configured in the data configuration module, when integration is performed, the model is automatically read by using a script, data filled in by the data configuration module is read, variable definition and data assignment are automatically generated, a program generated by the model is a fault management program, and no separate data synthesis work is required.
Table 2 shows the configuration of calibration data in the data configuration module in the present application.
TABLE 2
Optionally, the calibration data is input into the 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 terminal equipment of the vehicle by using the calibration data and generating a fault management program.
In the present application, the manner 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 illustratively, the calibration data is divided into at least one fault array according to the fault name of the calibration data; and inputting the fault array into a fault management model to obtain a fault management program output by the fault management model.
And S103, sending the fault management program to the control equipment of the vehicle.
In this step, the fault management program is transmitted to the control apparatus of the vehicle.
In the present application, the type of the Control device of the vehicle is not limited, and may be, for example, an Electronic Control Unit (ECU).
And when the fault is detected, judging whether to store and output the fault according to the fault name, the corresponding fault grade, the fault priority, the fault confirmation time and the fault healing time. The fault names are sorted according to the fault types, so that the fault names can be conveniently found when the faults are detected, and the corresponding fault levels, the fault priorities, the fault confirmation time and the fault healing time can be comprehensively judged according to the sorting.
In actual situations, since the number of faults is large, all faults cannot be output, and the faults needing to be output need to be judged according to the fault level, the fault priority, the fault confirmation time and the fault healing time.
The fault management program development platform is oriented to various clients, is wide in application field, comprises traditional commercial vehicles, hydraulic vehicles, new energy resources and the like, is concentrated in the use field or product model of some clients, does not frequently modify or calibrate data, does not have a special data synthesis or calibration tool, and provides a solution for using a fault management system according to the difference of terminal equipment of the vehicles without the need of the calibration tool for the clients; for data modification and calibration, the development platform does not need a special data synthesis and calibration tool, and the tool threshold of using a fault management system is reduced.
The data processing method provided by the embodiment of the application comprises the following steps: the method comprises the steps of firstly obtaining calibration data of the terminal equipment of the vehicle, wherein the calibration data is 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, wherein the fault management program is used for carrying out fault management and fault diagnosis on the terminal equipment of the vehicle, and finally sending the fault management program to control equipment of the vehicle. Compared with the prior art, the method and the device have the advantages that the calibration work of the data is advanced, the calibration data is automatically extracted when the 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.
In addition to the above embodiments, a case where the calibration data is processed to obtain the fault management program will be described below. Fig. 3 is a schematic flow chart of another data processing method according to an embodiment of the present application, and as shown in fig. 3, the method includes:
s201, obtaining calibration data of the terminal equipment of the vehicle.
S202, inputting the calibration data into the fault management model to obtain a fault management program output by the fault management model.
And S203, sending the fault management program to the control equipment of the vehicle.
The technical terms, technical effects, technical features, and alternative embodiments of S201 to S203 can be understood with reference to S101 to S103 shown in fig. 2, and repeated descriptions thereof will not be repeated here.
On the basis of the foregoing embodiment, fig. 4 is a schematic flowchart of a further data processing method provided in the embodiment of the present application, and as shown in fig. 4, the method includes:
s301, obtaining calibration data of the terminal equipment of the vehicle.
S302, dividing the calibration data into at least one fault array according to the fault name of the calibration data.
And S303, inputting the fault array into the fault management model to obtain a fault management program output by the fault management model.
And S304, sending the fault management program to the control equipment of the vehicle.
The technical terms, technical effects, technical features, and alternative embodiments of S301 to S304 can be understood with reference to S101 to S103 shown in fig. 2, and repeated descriptions thereof will not be repeated here.
On the basis of the foregoing embodiment, fig. 5 is a schematic flowchart of another data processing method provided in the embodiment of the present application, and as shown in fig. 5, 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 type of the calibration data.
And S403, dividing the sorted calibration data into at least one fault array.
The technical terms, technical effects, technical features, and alternative embodiments of S401-S403 can be understood with reference to S102 shown in fig. 2, and repeated descriptions thereof will not be repeated here.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: various media that can store program codes, 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, and 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.
An obtaining module 501, configured to obtain 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;
a processing module 502, configured to process the calibration data to obtain a fault management program, where the fault management program is used to perform fault processing and fault diagnosis on a terminal device of a vehicle;
a sending module 503, configured to send the fault management program to a control device of the vehicle.
In an alternative embodiment, the calibration data includes a fault level, a fault priority, a fault confirmation time, and a fault healing 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 a vehicle using the calibration data to generate the fault management program.
In an optional implementation, the processing module 502 is further configured to divide the calibration data into at least one fault array according to the fault name of the calibration data;
the sending module 503 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, the processing module 502 is further configured to determine a fault type of the calibration data according to a fault name of the calibration data; according to the fault type of the calibration data, sequencing the calibration data, wherein the fault type comprises a time type and an event type; and dividing the sorted calibration data into at least one fault array.
It should be noted that the data processing apparatus provided in the embodiment of the present application may be configured to execute the method provided in any of the above embodiments, and specific implementation manners and technical effects are similar and will not be described herein again.
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 memory 602. Fig. 7 shows an electronic device as an example of a processor.
A memory 602 for storing programs. In particular, the program may include program code including computer operating instructions.
The memory 602 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
The processor 601 is used for executing computer execution instructions stored in the memory 602 to implement the data processing method;
the processor 601 may be a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement the 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 (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. Buses may be classified as address buses, data buses, control buses, etc., but do not represent only one bus or type of bus.
Alternatively, in a specific implementation, if the communication interface, the memory 602 and the processor 601 are integrated into 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 above method embodiments. The chip can be applied to a data processing device.
The present application also provides a computer-readable storage medium, which may include: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, are specifically, the computer-readable storage medium stores program information, and the program information is used in the data processing method.
Embodiments of the present application also provide a program, which is used to execute the data processing method provided in the above method embodiments when the program is executed by a processor.
Embodiments of the present application further provide a program product, such as a computer-readable storage medium, having stored therein instructions, which, when executed on a computer, cause the computer to execute the data processing method provided by the foregoing method embodiments.
In the above embodiments, the implementation may be wholly or partially realized 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. The procedures or functions according to the embodiments of the invention are brought about in whole or in part when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the 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)), among others.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (15)
1. A method of data processing, the method comprising:
acquiring calibration data of terminal equipment of a vehicle, wherein the calibration data is 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 terminal equipment of the vehicle;
transmitting the fault management program to a control device of the vehicle.
2. The method of claim 1, wherein the calibration data comprises a fault level, a fault priority, a fault confirmation time, and a fault healing time.
3. The method according to claim 1, wherein the processing the calibration data to obtain the fault management program comprises:
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.
4. The method of claim 3, wherein said inputting said calibration data into a fault management model resulting in a fault management procedure output by said fault management model comprises:
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.
5. The method as claimed in claim 4, wherein said dividing the calibration data into at least one failure array according to failure names of the calibration data comprises:
determining the fault type of the calibration data according to the fault name of the calibration data;
sequencing the calibration data according to the fault type of the calibration data, wherein the fault type comprises a time type and an event type;
and dividing the sorted calibration data into at least one fault array.
6. A data processing apparatus, characterized in that the apparatus comprises:
the system comprises an acquisition module, a fault management module and a fault management 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 sending module for sending the fault management program to a control device of the vehicle.
7. The apparatus of claim 6, wherein the calibration data comprises a fault level, a fault priority, a fault confirmation time, and a fault healing time.
8. The apparatus of claim 6, wherein 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, and the fault management model is configured to simulate fault management of a terminal device of the vehicle using the calibration data to generate the fault management program.
9. The apparatus according to claim 8, wherein the processing module is further configured to divide the calibration data into at least one fault array according to a fault name of the calibration data;
and the sending module is also used for inputting the fault array into the fault management model to obtain a fault management program output by the fault management model.
10. The apparatus according to claim 9, wherein the processing module is further configured to determine a fault type of the calibration data according to a fault name of the calibration data; sequencing the calibration data according to the fault type of the calibration data, wherein the fault type comprises a time type and an event type; and dividing the sorted calibration data into at least one fault array.
11. An electronic device, comprising: a processor and a memory;
the memory is used for storing a computer program;
the processor is used for calling and running the computer program stored in the memory and executing the method according to any one of claims 1-5.
12. A chip, comprising: a processor for calling and running a computer program from a memory so that a device on which the chip is installed performs the method of any one of claims 1-5.
13. A computer-readable storage medium for storing a computer program which causes a computer to perform the method of any one of claims 1-5.
14. A computer program product, comprising computer program information to make a computer execute the method according to any of claims 1-5.
15. A computer program, characterized in that the computer program causes a computer to perform the method according to any of claims 1-5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110003013.4A CN112699648B (en) | 2021-01-04 | 2021-01-04 | Data processing method and device |
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| CN115407746A (en) * | 2022-07-18 | 2022-11-29 | 中国第一汽车股份有限公司 | Fault information processing method and device for vehicle, storage medium and processor |
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