CN113792217A - Information display method and device, electronic equipment and storage medium - Google Patents
Information display method and device, electronic equipment and storage medium Download PDFInfo
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- 238000003745 diagnosis Methods 0.000 description 8
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- 238000004891 communication Methods 0.000 description 7
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- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0706—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment
- G06F11/0736—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment in functional embedded systems, i.e. in a data processing system designed as a combination of hardware and software dedicated to performing a certain function
- G06F11/0739—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment in functional embedded systems, i.e. in a data processing system designed as a combination of hardware and software dedicated to performing a certain function in a data processing system embedded in automotive or aircraft systems
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/904—Browsing; Visualisation therefor
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
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Abstract
The application relates to the technical field of information, and provides an information display method, which comprises the following steps: acquiring a target operation instruction of a user; acquiring the area where the user is located according to the target operation instruction; acquiring vehicle big data of the area; and adjusting the display sequence of the diagnosis software of at least one vehicle type according to the vehicle big data. The method can enable a user to quickly acquire the required diagnostic software.
Description
Technical Field
The present application relates to the field of information technologies, and in particular, to a method and an apparatus for displaying information, an electronic device, and a storage medium.
Background
As is known, a conventional vehicle fault diagnosis device is a device for detecting a technical condition or diagnosing a fault of a vehicle. The automobile fault diagnosis equipment is internally provided with a plurality of diagnosis software which are used for diagnosing the faults of vehicles of different brands and models. However, as the updating speed of vehicles is increased, the brands and models of vehicles on the market are more and more, and when various types of diagnosis software configured in the existing automobile fault diagnosis equipment cannot meet the requirements of a plurality of types of vehicles on the market, a user can purchase the required diagnosis software in a website shopping mall provided by an automobile fault diagnosis equipment manufacturer. However, the diagnostic software in the software mall is not counted and is generally displayed in a list form according to the first letter of the name of the diagnostic software. If a user wants to purchase diagnosis software which meets market requirements and is high in cost performance, the user needs to check the diagnosis software or repeatedly search keywords to find the desired target diagnosis software, and obviously, the searching mode is low in efficiency.
Disclosure of Invention
The application provides an information display method, an information display device, electronic equipment and a storage medium, which can enable a user to quickly acquire required diagnosis software.
In a first aspect, a method for displaying information is provided, including: acquiring a target operation instruction of a user; acquiring the area where the user is located according to the target operation instruction; acquiring vehicle big data of the area; and adjusting the display sequence of the diagnosis software of at least one vehicle type according to the vehicle big data.
Optionally, the vehicle big data includes a market share of at least one vehicle type, and the adjusting a display sequence of the diagnostic software of at least one vehicle type according to the vehicle big data includes: and displaying the diagnosis software corresponding to the vehicle type according to the order of the market share from high to low.
Optionally, the vehicle big data includes a failure rate of at least one vehicle type, and the adjusting a display sequence of the diagnostic software of at least one vehicle type according to the vehicle big data includes: and displaying the diagnosis software corresponding to the vehicle type according to the sequence of the fault rate from high to low.
Optionally, the vehicle big data comprises market share and failure rate of at least one vehicle type; the adjusting of the display sequence of the diagnostic software of at least one vehicle type according to the vehicle big data comprises the following steps: and displaying the diagnosis software corresponding to the vehicle type according to the order from high to low of the weighted results of the market share and the fault rate.
Optionally, the weighted result comprises a weighted sum or a weighted average.
Alternatively, the regions are divided according to countries or provincial administrative districts.
Optionally, the target operation instruction is an instruction to search or purchase diagnostic software of the vehicle type.
In a second aspect, there is provided an apparatus for information display, comprising:
the instruction acquisition unit is used for acquiring a target operation instruction of a user;
the area acquisition unit is used for acquiring the area where the user is located according to the target operation instruction;
the data acquisition unit is used for acquiring vehicle big data of the area;
and the adjusting unit is used for adjusting the display sequence of the diagnostic software of at least one vehicle type according to the vehicle big data.
In a third aspect, an electronic device is provided, which includes a processor and a memory, where the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the electronic device executes the method of any one of the first aspect.
In a fourth aspect, a computer-readable storage medium is provided, which stores a computer program that, when executed by a processor, causes the processor to perform the method of any of the first aspects.
Compared with the prior art, the technical scheme provided by the application has the beneficial effects that:
in the first aspect of the application, when the target operation instruction of the user is obtained, the display sequence of the diagnostic software of different vehicle types in the area can be adjusted according to the vehicle big data of the area where the user is located, so that the user can conveniently and quickly obtain the required diagnostic software.
Advantageous effects in the second, third and fourth aspects of the present application refer to advantageous effects of the first aspect.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
FIG. 1 is a schematic diagram illustrating display rules of various types of diagnostic software in a software mall according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a method of displaying information according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an interface for displaying diagnostic software based on market share according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of an interface for displaying diagnostic software based on failure rate in an embodiment of the present invention;
FIG. 5 is a schematic diagram of an interface displaying vehicle fault diagnosis software according to market share and fault rate in an embodiment of the present invention;
FIG. 6 is a schematic diagram of an apparatus for displaying information according to an embodiment of the present invention;
fig. 7 is a schematic diagram of an electronic device provided in an embodiment of the invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should also be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
Furthermore, in the description of the present application and the appended claims, the terms "first," "second," "third," and the like are used for distinguishing between descriptions and not necessarily for describing or implying relative importance.
Reference throughout this specification to "one embodiment" or "some embodiments," or the like, means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," or the like, in various places throughout this specification are not necessarily all referring to the same embodiment, but rather "one or more but not all embodiments" unless specifically stated otherwise. The terms "comprising," "including," "having," and variations thereof mean "including, but not limited to," unless expressly specified otherwise.
With the increasing brands and models of the vehicle models in the market, a plurality of diagnosis software configured in the existing vehicle fault diagnosis equipment cannot meet the requirements of a plurality of vehicle models in the market. The user needs to purchase the required diagnostic software in a software mall provided by the automobile failure diagnosis equipment manufacturer. However, various diagnostic software in the software mall is generally displayed in a list form according to the initials of the names of the diagnostic software, as shown in fig. 1, in which 101 is a display area of the diagnostic software, 102 is a display area of the version number of the diagnostic software, and 103 is a display area of the size of the diagnostic software. If a user wants to purchase diagnosis software which meets market requirements and has high cost performance, the user needs to check and compare the diagnosis software one by one or repeatedly search keywords to find the desired target diagnosis software, and the searching mode is not only low in efficiency but also tedious in process. Therefore, how to make the user quickly acquire the required diagnostic software is a problem which is urgently needed to be solved at present.
The present application will now be described in further detail with reference to the accompanying drawings and specific examples.
Fig. 2 is a schematic flowchart of an information display method in an embodiment of the present application, where the information display method provided in the embodiment of the present application is applied to a terminal device, and the method includes:
s201, acquiring a target operation instruction of a user.
Illustratively, the target operation instruction is an instruction to search or purchase diagnostic software; the terminal equipment is internally provided with a software mall which provides a purchase channel for a user to purchase diagnostic software or related functional services. On the software mall, a user can search for the diagnostic software which needs to be purchased by the user by clicking a trigger button for searching the diagnostic software or clicking a trigger button for purchasing the diagnostic software.
And S202, acquiring the area where the user is located according to the target operation instruction.
Illustratively, the terminal device may be a professional diagnostic device, and may also be a user terminal such as a computer, a tablet, or a mobile phone. And when the search operation instruction or the purchase operation instruction is detected, the terminal equipment acquires the current area of the user. Specifically, the area where the current terminal device is located is obtained, that is, the area where the user is currently located.
And S203, acquiring vehicle big data of the area.
Illustratively, after acquiring the area where the user is located, vehicle big data in the area is acquired according to the area where the user is located, where the vehicle big data includes: sales volume, failure rate, market share, maintenance times, etc. of each vehicle type; the sales volume refers to the sales volume of a certain vehicle type in a certain period in the region; the failure rate refers to the probability of failure of a certain vehicle type in a certain period, and can be calculated according to the sales volume of the vehicle type and the number of reported failures; the market share is the proportion of the sales quantity of a certain vehicle type in the region to the total sales quantity of all vehicle types in the market in a certain period; the maintenance times refer to the total times of maintenance of a certain vehicle type in the area in a certain period of time. When the terminal device is located in the current area of the user, vehicle big data on the market in the area can be acquired.
And S204, adjusting the display sequence of the diagnosis software of at least one vehicle type according to the vehicle big data.
Illustratively, vehicle big data of an area where a user is located are obtained, and the display sequence of diagnosis software corresponding to different vehicle types is adjusted according to the vehicle big data. For example, the display order of the diagnostic software may be adjusted according to at least one or a combination of information such as sales volume, failure rate, market share, and maintenance frequency of at least one vehicle type based on vehicle big data included in the area where the user is located. For example, the diagnostic software corresponding to the three vehicle types is displayed according to the order of sales volume from high to low; the display sequence of the diagnostic software corresponding to each vehicle type can be adjusted from high to low according to the weighting result of the sales volume and the fault rate; and sorting can be performed according to the weighted results of the failure rate and the maintenance times from high to low. In short, the combination mode of the vehicle data such as sales volume, market share, failure rate and maintenance frequency is not limited, and a user can select the combination mode according to actual requirements.
Therefore, when a user purchases or searches the diagnostic software in the software mall, the display sequence of the diagnostic software of different vehicle types in the area can be adjusted according to the vehicle big data of the area where the user is located, and the user can conveniently and quickly obtain the required diagnostic software.
As a possible implementation manner of the foregoing embodiment, the vehicle big data includes a market share of at least one vehicle type, and the step S204 of adjusting the display sequence of the diagnosis software of at least one vehicle type according to the vehicle big data includes:
and displaying the diagnosis software of the corresponding vehicle type according to the order of the market share from high to low.
Acquiring market share data of different vehicle types from vehicle big data, sorting the market share data of the different vehicle types from high to low, and then displaying diagnostic software of the different vehicle types according to the market share of the different vehicle types from high to low, as shown in fig. 3, wherein 301 is a display area of the diagnostic software, and 302 is an area position where a user is currently located. Alternatively, the diagnostic software of all the different vehicle models can be displayed in a form of paging according to the market share of the different vehicle models from high to low, wherein the diagnostic software of the vehicle model displayed in the front is the diagnostic software of the vehicle model with high popularity and high purchase rate in the current region of the user.
For example, as shown in fig. 3, the market share data of at least one vehicle type is sorted from high to low, and then diagnostic software for each vehicle type is displayed according to the market share of at least one vehicle type from high to low; the terminal device displays the diagnosis software with high market share of the vehicle type A, the vehicle type B and the vehicle type C on the home page of the display interface of the vehicle fault diagnosis software, of course, 5 or 10 diagnosis software with high market share can be displayed, and the number of the diagnosis software specifically displayed on the home page of the display interface of the vehicle fault diagnosis software is not limited in the application. The user can conveniently see three types of diagnosis software with higher market share from the first page, and can also see the price, the version number (not shown in fig. 3) and the software size (not shown in fig. 3) of the three types of diagnosis software.
As another possible implementation manner of the foregoing embodiment, the step S204 of adjusting the display sequence of the diagnosis software of at least one vehicle type according to the vehicle big data further includes a failure rate of at least one vehicle type, and includes:
and displaying the diagnosis software corresponding to the vehicle type according to the sequence of the fault rate from high to low.
And the terminal equipment acquires the fault rate data of at least one vehicle type from the vehicle big data, sorts the fault rate data of the at least one vehicle type from high to low, and then displays the diagnosis software of the at least one vehicle type according to the fault rate of the at least one vehicle type from high to low. Alternatively, the diagnostic software of at least one vehicle type may be displayed in a paginated form according to the failure rate from high to low, wherein the diagnostic software of the vehicle type displayed in the front is the diagnostic software of the vehicle type with higher failure rate in the area where the user is currently located.
For example, as shown in fig. 4, the failure rate data of at least one vehicle model is sorted from high to low, and then the diagnosis software of at least one vehicle model is displayed according to the failure rate of at least one vehicle model from high to low; the terminal device displays three diagnostic software with high failure rates, namely a vehicle type D, a vehicle type E and a vehicle type F, on the home page of the display interface of the automobile failure diagnostic software, and of course, 6 or 8 diagnostic software with high failure rates can also be displayed. The user can conveniently see the three types of diagnosis software with higher failure rate at present from the first page, and can also see the price, the version number (not shown in fig. 4) and the software size (not shown in fig. 4) of the three types of diagnosis software.
It should be noted that, in the present application, the method for adjusting the display sequence of the diagnostic software corresponding to at least one vehicle type according to the order from high sales volume to low maintenance frequency is the same as the method for adjusting the display sequence of the diagnostic software corresponding to at least one vehicle type according to the order from high market share and low failure rate, and is not described herein again.
As still another possible implementation manner of the above embodiment, the vehicle big data includes a market share and a failure rate of at least one vehicle type; the step S204 of adjusting the display sequence of the diagnosis software of at least one vehicle type according to the vehicle big data comprises the following steps:
and displaying the diagnosis software of the corresponding vehicle type from high to low according to the weighting result of the market share and the fault rate.
The weighted result includes a weighted sum or a weighted average. The terminal device obtains market share data and fault rate data of at least one vehicle type from vehicle big data, and sorts the weighted sum or weighted average of the market share data and the fault rate data of at least one vehicle type from high to low, when the weighted sum of the market share and the fault rate of the X vehicle type is higher than the weighted sum of the market share and the fault rate of the Y vehicle type, or when the weighted average of the market share and the fault rate of the X vehicle type is higher than the weighted average of the market share and the fault rate of the Y vehicle type, the diagnosis software of the X vehicle type can be arranged in front of the diagnosis software of the Y vehicle type, and then the diagnosis software of the vehicle types is displayed according to the market share and the fault rate of at least one vehicle type from high to low. Alternatively, the diagnosis software of at least one vehicle type may be displayed in a paginated form according to a weighted sum or a weighted average of the market share and the failure rate of at least one vehicle type from high to low, wherein the diagnosis software of the vehicle type displayed in the front is the diagnosis software of the vehicle type of which the popularity, the purchase rate and the failure rate of the region where the user is currently located are all high.
For example, the terminal device sorts the weighted sum or weighted average of the market share data and the fault rate data of at least one vehicle type from high to low, and then displays the diagnosis software of at least one vehicle type according to the weighted sum or weighted average of the market share and the fault rate of at least one vehicle type from high to low; the terminal device displays the diagnosis software with high weighted sum or weighted average value of the three market share and fault rate of the X1 vehicle type, the X2 vehicle type and the X3 vehicle type on the home page of the display interface of the automobile fault diagnosis software, of course, 5 or 10 diagnosis software with high weighted sum or weighted average value of the market share and fault rate can also be displayed, and the number of the diagnosis software specifically displayed on the home page of the display interface of the automobile fault diagnosis software is not limited by the application. The user can conveniently see three types of diagnosis software with higher weighted sum or weighted average of the current market share and the fault rate from the first page, and also can see the price (for example, the price of an X1 vehicle model is 5999), the version number and the software size of the three types of diagnosis software.
In the above embodiment, the region in which the user is located is obtained by dividing according to the country or provincial administrative districts, for example, the region is divided according to the country, and the region may be china or other countries in europe and america; for another example, the region is divided according to provincial administrative districts, and if the region is in China, the region where the user is located is different provinces of China (for example, Guangdong province, Hunan province, and the like); if the united states is divided into regions by states in the european and american countries, e.g., the united states, the regions may be different states of the united states (e.g., alaska, arizona, etc.); the regions can be set according to the division rules of different countries, and the rules of dividing provincial administrative districts of different countries are not limited by the application. Sales volumes for different vehicle models are different in different regions. For example, the area where the terminal device is located in the user is china, and in the china, people usually like to purchase own-country branded vehicles, such as biddi, giley, great wall, and the like, so that the market share of own-country branded vehicles is higher than that of foreign-country branded vehicles, and therefore, the terminal device displays the diagnostic software of own-country branded vehicles at the forefront, so that the user can quickly select the required diagnostic software.
In the above embodiment, the vehicle database server of the area where the user is located may be logged in through the communication address to obtain the vehicle big data of at least one vehicle type in the area where the user is located.
As another possible implementation manner of the above embodiment, displaying a ranking manner of the diagnostic software of at least one vehicle type may provide effective reference information for a user to purchase target diagnostic software. When the diagnostic software of at least one vehicle type is displayed, the display rules (i.e., the sort pattern) of the diagnostic software may be displayed below each diagnostic software. For example, as shown in fig. 3, the diagnostic software for the a-model shows a market share of 86%, the diagnostic software for the B-model shows a market share of 81%, and the diagnostic software for the C-model shows a market share of 78%, indicating that the display rules of these three types of diagnostic software are sequentially displayed according to the high-to-low market shares of the respective corresponding models.
For another example, as shown in fig. 4, the diagnostic software for the model D displays a failure rate of 55%, the diagnostic software for the model E displays a failure rate of 45%, and the diagnostic software for the model F displays a failure rate of 44%, indicating that the display rules of these three types of diagnostic software are sequentially displayed according to the failure rates of the respective corresponding models from high to low.
For another example, as shown in fig. 5, the diagnostic software for the G-model shows a market share of 77% and a failure rate of 53%, the diagnostic software for the H-model shows a market share of 68% and a failure rate of 49%, and the diagnostic software for the J-model shows a market share of 63% and a failure rate of 47%, illustrating that the display rules of these three types of diagnostic software are sequentially displayed according to the high-to-low market share and the high-to-low failure rate of the respective corresponding models.
It is noted that the display rule of the diagnostic software is a weighted combination result display according to at least one or more of the high-to-low sales volume, market share, failure rate and maintenance frequency of the respective corresponding vehicle model.
For ease of understanding, the overall flow steps of the method of displaying information provided herein are illustrated below.
For example, a user of the a-zone purchases a car malfunction diagnosis apparatus and clicks a search or purchase button of a car type software (i.e., a software mall) on the car malfunction diagnosis apparatus. At this time, if the current area position of the user is the area a, the vehicle failure rate data information of the area a in the past half year time is acquired, and it is determined that the vehicle type with a large vehicle failure rate in the past half year time is biddie, giri or popular. Therefore, the terminal equipment adjusts the diagnostic software list information of different vehicle types in the vehicle type software mall according to the confirmed vehicle fault rate ranking information, and ranks and displays the diagnostic software information of three vehicle types, namely BYD, Jili and Volkswagen. Meanwhile, display rules of diagnostic software information of the biddi, the Jili and the general are displayed below each piece of diagnostic software, so that a user can conveniently know that the three vehicle types are vehicle types with high vehicle failure rate in the last half year and recommend to purchase the vehicle types.
Similarly, the terminal device can also obtain vehicle type data with higher vehicle type market share within half a year of the area a, and adjust and display the display sequence of the diagnosis software of different vehicle types in the software mall according to the vehicle type data to the user.
Similarly, the terminal device can also obtain vehicle type data with high vehicle type market share and failure rate in the area A within half a year, and adjust and display the display sequence of the diagnosis software of different vehicle types in the software mall according to the vehicle type data to the user.
Fig. 6 is a schematic structural diagram of an information display device provided in the present application. The apparatus 600 includes an instruction acquisition unit 601, an area acquisition unit 602, a data acquisition unit 603, and an adjustment unit 604;
an instruction obtaining unit 601, configured to obtain a target operation instruction of a user;
an area obtaining unit 602, configured to obtain an area where a user is located according to a target operation instruction;
a data acquisition unit 603 for acquiring vehicle big data of an area;
an adjusting unit 604, configured to adjust a display sequence of the diagnostic software of at least one vehicle type according to the vehicle big data.
The specific manner in which the apparatus 600 performs the method for displaying information and the resulting beneficial effects can be seen from the related description in the method embodiment shown in fig. 2.
In the apparatus shown in fig. 6, the adjusting unit 604 is specifically configured to display the diagnostic software of the corresponding vehicle models in order from high to low according to the market share. The beneficial effect of the adjusting unit 604 performing this step can be seen in the above embodiments.
In the apparatus shown in fig. 6, the adjusting unit 604 is further specifically configured to display the diagnostic software of the corresponding vehicle type according to the order from high to low of the failure rate. The beneficial effect of the adjusting unit 604 performing this step can be seen in the above embodiments.
In the apparatus shown in fig. 6, the adjusting unit 604 is further specifically configured to display the diagnostic software of the corresponding vehicle type in order from high to low according to the weighted results of the market share and the failure rate. The beneficial effect of the adjusting unit 604 performing this step can be seen in the above embodiments.
In the above embodiment, the weighting result includes a weighted sum or a weighted average.
In the above embodiment, the regions are divided according to countries or provincial administrative districts.
In the above embodiment, the target operation instruction is an instruction to search for or purchase diagnostic software of a vehicle type.
Fig. 7 shows a schematic structural diagram of an electronic device provided in the present application. The dashed lines in fig. 7 indicate that the unit or the module is optional. The electronic device 700 may be used to implement the methods described in the method embodiments above. The electronic device 700 may be a terminal device or a server or a chip.
The electronic device 700 includes one or more processors 701, and the one or more processors 701 may support the electronic device 700 to implement the method in the method embodiment corresponding to fig. 2. The processor 701 may be a general purpose processor or a special purpose processor. For example, processor 701 may be a Central Processing Unit (CPU). The CPU may be configured to control the electronic device 700, execute software programs, and process data of the software programs. The electronic device 700 may further include a communication unit 705 to enable input (reception) and output (transmission) of signals.
For example, the electronic device 700 may be a chip and the communication unit 705 may be an input and/or output circuit of the chip, or the communication unit 705 may be a communication interface of the chip, which may be a component of a terminal device.
Also for example, the electronic device 700 may be a terminal device and the communication unit 705 may be a transceiver of the terminal device, or the communication unit 705 may be a transceiver circuit of the terminal device.
The electronic device 700 may comprise one or more memories 702, on which programs 704 are stored, and the programs 704 may be executed by the processor 701, and generate instructions 703, so that the processor 701 may execute the method described in the above method embodiment according to the instructions 703. Optionally, data may also be stored in the memory 702. Alternatively, the processor 701 may also read data stored in the memory 702, the data may be stored at the same memory address as the program 704, or the data may be stored at a different memory address from the program 704.
The processor 701 and the memory 702 may be provided separately or integrated together, for example, On a System On Chip (SOC) of the terminal device.
The specific manner in which the processor 701 executes the fault code display method may be referred to in the description of the method embodiment.
It should be understood that the steps of the above-described method embodiments may be performed by logic circuits in the form of hardware or instructions in the form of software in the processor 701. The Processor 701 may be a CPU, a Digital Signal Processor (DSP), a Field Programmable Gate Array (FPGA), or other Programmable logic device, such as discrete gates, transistor logic, or discrete hardware components.
The application also provides a computer program product which, when executed by the processor 701, implements the method according to any of the method embodiments of the application.
The computer program product may be stored in the memory 702, for example, as the program 704, and the program 704 is finally converted into an executable object file capable of being executed by the processor 701 through preprocessing, compiling, assembling, linking and the like.
The present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a computer, implements the method of any of the method embodiments of the present application. The computer program may be a high-level language program or an executable object program.
Such as memory 702. Memory 702 may be either volatile memory or nonvolatile memory, or memory 702 may include both volatile and nonvolatile memory. The non-volatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash Memory. Volatile Memory can be Random Access Memory (RAM), which acts as external cache Memory. By way of example, but not limitation, many forms of RAM are available, such as Static random access memory (Static RAM, SRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic random access memory (Synchronous DRAM, SDRAM), Double Data Rate Synchronous Dynamic random access memory (DDR SDRAM), Enhanced Synchronous SDRAM (ESDRAM), SLDRAM, and Direct Rambus RAM (DRRAM).
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes and the generated technical effects of the above-described apparatuses and devices may refer to the corresponding processes and technical effects in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, the disclosed system, apparatus and method may be implemented in other ways. For example, some features of the method embodiments described above may be omitted, or not performed. The above-described embodiments of the apparatus are merely exemplary, the division of the unit is only one logical function division, and there may be other division ways in actual implementation, and a plurality of units or components may be combined or integrated into another system. In addition, the coupling between the units or the coupling between the components may be direct coupling or indirect coupling, and the coupling includes electrical, mechanical or other connections.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same. Although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: it is to be understood that modifications may be made to the above-described embodiments, or equivalents may be substituted for some of the features of the embodiments, and such modifications or substitutions are not to be construed as essential to the spirit and scope of the embodiments of the present invention.
Claims (10)
1. A method of information display, the method comprising:
acquiring a target operation instruction of a user;
acquiring the area where the user is located according to the target operation instruction;
acquiring vehicle big data of the area;
and adjusting the display sequence of the diagnosis software of at least one vehicle type according to the vehicle big data.
2. The method of claim 1, wherein the vehicle big data comprises a market share of at least one vehicle type, and the adjusting the display order of the diagnostic software of at least one vehicle type according to the vehicle big data comprises:
and displaying the diagnosis software corresponding to the vehicle type according to the order of the market share from high to low.
3. The method of claim 1, wherein the vehicle big data comprises a failure rate of at least one vehicle type, and the adjusting the display order of the diagnostic software of at least one vehicle type according to the vehicle big data comprises:
and displaying the diagnosis software corresponding to the vehicle type according to the sequence of the fault rate from high to low.
4. The method of claim 1, wherein the vehicle big data comprises a market share and a failure rate of at least one vehicle type; the adjusting of the display sequence of the diagnostic software of at least one vehicle type according to the vehicle big data comprises the following steps:
and displaying the diagnosis software corresponding to the vehicle type according to the order from high to low of the weighted results of the market share and the fault rate.
5. The method of claim 4, wherein the weighted result comprises a weighted sum or a weighted average.
6. The method according to any one of claims 1 to 5, wherein the regions are divided according to countries or provincial administrative districts.
7. The method according to any one of claims 1 to 5, wherein the target operation instruction is an instruction to search for or purchase diagnostic software of the vehicle type.
8. An apparatus for displaying information, the apparatus comprising:
the instruction acquisition unit is used for acquiring a target operation instruction of a user;
the area acquisition unit is used for acquiring the area where the user is located according to the target operation instruction;
the data acquisition unit is used for acquiring vehicle big data of the area;
and the adjusting unit is used for adjusting the display sequence of the diagnostic software of at least one vehicle type according to the vehicle big data.
9. An electronic device, comprising a processor and a memory, the memory storing a computer program, the processor being configured to invoke and run the computer program from the memory such that the device performs the method of any of claims 1 to 7.
10. A computer-readable storage medium, in which a computer program is stored which, when executed by a processor, causes the processor to carry out the method of any one of claims 1 to 7.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202111115395.6A CN113792217A (en) | 2021-09-23 | 2021-09-23 | Information display method and device, electronic equipment and storage medium |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202111115395.6A CN113792217A (en) | 2021-09-23 | 2021-09-23 | Information display method and device, electronic equipment and storage medium |
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