Index system construction method, device, electronic device and storage medium

Abstract

The present application provides an indicator system construction method, device, electronic device and storage medium. By obtaining multiple preset meta-indicators and cloud indicator identifiers of each preset meta-indicator, at least two preset meta-indicators are processed to obtain at least one derivative indicator, and a derivative indicator identifier is set for each derivative indicator, the indicator identifier to be managed and the indicator management content are obtained, the indicator to be managed is determined according to the indicator identifier to be managed, the cloud indicator identifier and the derivative indicator identifier, the indicator to be managed is deleted or modified, and each indicator to be labeled in the indicator set to be labeled is labeled with a smart car cloud application business label, and an indicator system for smart car cloud application business is constructed based on the smart car cloud application business label of each indicator to be labeled. A method for modifying and managing indicators is provided, and then an indicator system is generated according to at least a part of the indicators after management. The adjustment of the indicator system is more flexible and can meet the needs of business development.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of vehicle technology, and specifically to an indicator system construction method, device, electronic device and storage medium. Background Art

[0002] In recent years, intelligent connected cars have become more and more popular, and vehicles are developing more and more towards intelligence and networking. The intelligent car cloud platform is an important part of autonomous driving, with functions such as navigation, positioning, and early warning. Various businesses in the field of intelligent car cloud have seen integration and cooperation, and are developing rapidly, which has high requirements for the management of the indicator system.

[0003] In the related technologies, the construction of the indicator system in the field of smart car cloud is often based on the manual definition of relevant indicators and the construction of the indicator system by relevant technical personnel. The indicator system is relatively rigid and cannot meet the needs of business development. Summary of the invention

[0004] In view of the above-mentioned shortcomings of the prior art, the embodiments of the present invention provide an indicator system construction method, device, electronic device and storage medium to solve the technical problem that the indicator system in the related technology is relatively rigid and cannot meet the development needs of the business.

[0005] An embodiment of the present invention provides a method for constructing an indicator system, and the method for constructing an indicator system includes:

[0006] Acquire multiple preset meta-indicators and cloud indicator identifiers of the preset meta-indicators, wherein the preset meta-indicators are used to count the absolute amount of smart car cloud service data;

[0007] Performing indicator processing on at least two of the preset meta-indicators to obtain at least one derived indicator, and setting a derived indicator identifier for each of the derived indicators;

[0008] Obtaining an indicator identifier to be managed and indicator management content, determining the indicator to be managed according to the indicator identifier to be managed, the cloud indicator identifier and the derived indicator identifier, and deleting or modifying the indicator to be managed, wherein the indicator to be managed includes at least one of the preset meta-indicator and the derived indicator;

[0009] Respectively labeling the smart car cloud application business label for each indicator to be labeled in the indicator set to be labeled, wherein the indicator set to be labeled includes the remaining preset meta-indicators, the remaining derived indicators, the modified preset meta-indicators, and the modified derived indicators;

[0010] An indicator system for the smart car cloud application business is constructed based on the smart car cloud application business labels of the indicators to be labeled.

[0011] In one embodiment of the present invention, at least two of the preset meta-indicators are processed to obtain at least one derived indicator, which includes at least one of the following:

[0012] Comparing at least two of the preset meta-indicators to obtain at least one derived indicator;

[0013] Calculating statistics for at least two of the preset meta-indicators to obtain at least one derived indicator;

[0014] Calculate statistics and compare at least two of the preset meta-indicators to obtain at least one derived indicator.

[0015] In one embodiment of the present invention, an indicator identifier to be managed and indicator management content are obtained, and the indicator to be managed is determined according to the indicator identifier to be managed, the cloud indicator identifier and the derived indicator identifier. Before deleting or modifying the indicator to be managed, the indicator system construction method further includes:

[0016] Generating a derived indicator by applying a time period restriction or a range restriction to the existing indicator, wherein the existing indicator includes at least one of a preset meta-indicator and a derived indicator;

[0017] At this time, the indicator to be managed also includes the derived indicator.

[0018] In one embodiment of the present invention, modifying the indicator to be managed includes any one of the following:

[0019] Modify the indicator logic of the indicator to be managed;

[0020] Modify the indicator limitation conditions of the indicator to be managed.

[0021] In one embodiment of the present invention, performing indicator processing on at least two of the preset meta-indicators to obtain at least one derived indicator includes:

[0022] Obtaining the indicator logic of each of the preset indicators;

[0023] Perform similarity comparison on the indicator logic of each of the preset meta-indicators,

[0024] Determine the preset meta-indicators with a similarity greater than a preset similarity as having an indicator association relationship;

[0025] The preset meta-indicator having the indicator association relationship is subjected to indicator processing to obtain at least one derived indicator.

[0026] In one embodiment of the present invention, labeling each indicator in the set of indicators to be labeled with a smart car cloud application business label includes:

[0027] Obtaining a preset application service label marking rule, wherein the preset application service label marking rule includes at least one of a service data type, a service data source, and a service application field;

[0028] According to the preset application service labeling rule, each indicator to be labeled in the indicator set to be labeled is labeled with a smart car cloud application service label.

[0029] In one embodiment of the present invention, if the application service tag includes the smart car cloud smart network index, the index system of the application service includes the number of vehicles in use, the number of vehicles equipped, and the number of vehicles activated for network connection;

[0030] If the application service tag includes OTA indicators, the indicator system of the application service includes component name, number of upgraded vehicles, number of vehicles that failed to upgrade, and upgrade failure rate.

[0031] The present invention also provides an indicator system construction device, the indicator system construction device comprising:

[0032] An acquisition module, used to acquire a plurality of preset meta-indicators and cloud indicator identifiers of the preset meta-indicators, wherein the preset meta-indicators are used to count the absolute amount of smart car cloud service data;

[0033] An indicator processing module, used for performing indicator processing on at least two of the preset meta-indicators to obtain at least one derived indicator, and setting a derived indicator identifier for each of the derived indicators;

[0034] An indicator management module, used to obtain an indicator identifier to be managed and an indicator management content, determine the indicator to be managed according to the indicator identifier to be managed, the cloud indicator identifier and the derived indicator identifier, and delete or modify the indicator to be managed, wherein the indicator to be managed includes at least one of the preset meta-indicator and the derived indicator;

[0035] An indicator labeling module, used to label each indicator to be labeled in the indicator set to be labeled with a smart car cloud application business label, wherein the indicator set to be labeled includes the remaining preset meta-indicators, the remaining derived indicators, the modified preset meta-indicators, and the modified derived indicators;

[0036] The indicator system construction module is used to construct an indicator system for the smart car cloud application business based on the smart car cloud application business labels of each of the indicators to be labeled.

[0037] An embodiment of the present invention further provides an electronic device, including:

[0038] one or more processors;

[0039] A storage device is used to store one or more programs. When the one or more programs are executed by the one or more processors, the electronic device implements the indicator system construction method as described in any one of the above embodiments.

[0040] An embodiment of the present invention further provides a computer-readable storage medium having computer-readable instructions stored thereon. When the computer-readable instructions are executed by a processor of a computer, the computer executes the indicator system construction method described in any one of the above embodiments.

[0041] Beneficial effects of the embodiments of the present invention: The indicator system construction method, device, electronic device and storage medium in the embodiments of the present invention, by obtaining multiple preset meta-indicators and cloud indicator identifiers of each preset meta-indicator, perform indicator processing on at least two preset meta-indicators to obtain at least one derivative indicator, and set a derivative indicator identifier for each derivative indicator, obtain the indicator identifier to be managed and the indicator management content, determine the indicator to be managed according to the indicator identifier to be managed, the cloud indicator identifier and the derivative indicator identifier, delete or modify the indicator to be managed, and respectively annotate each indicator to be labeled in the set of annotated indicators with a smart car cloud application business label, and construct an indicator system for the smart car cloud application business based on the smart car cloud application business label of each indicator to be labeled, provide a method for modifying and managing indicators, and then generate an indicator system based on at least a part of the indicators after management, the adjustment of the indicator system is more flexible and can meet business development needs.

[0042] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The drawings herein are incorporated into the specification and constitute a part of the specification, showing embodiments consistent with the present application, and together with the specification, are used to explain the principles of the present application. Obviously, the drawings described below are only some embodiments of the present application, and for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0044] Figure 1 is a schematic diagram of an implementation environment of an indicator system construction method shown in an exemplary embodiment of the present application;

[0045] Figure 2 is a flow chart of an indicator system construction method shown in an exemplary embodiment of the present application;

[0046] Figure 3 is a flowchart of a meta-indicator definition shown in an exemplary embodiment of the present application;

[0047] Figure 4is a flowchart of meta-indicator processing shown in an exemplary embodiment of the present application;

[0048] Figure 5 is a flowchart of meta-indicator management shown in an exemplary embodiment of the present application;

[0049] Figure 6 is a flowchart of an indicator system generation shown in an exemplary embodiment of the present application;

[0050] Figure 7 is a block diagram of an indicator system construction device shown in an exemplary embodiment of the present application;

[0051] Figure 8 A schematic diagram of the structure of a computer system suitable for implementing an electronic device of an embodiment of the present application is shown. DETAILED DESCRIPTION

[0052] The following will describe the embodiments of the present invention with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are only for illustrating the present invention, not for limiting the scope of protection of the present invention.

[0053] It should be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present invention, and thus the drawings only show components related to the present invention rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.

[0054] In the following description, numerous details are discussed to provide a more thorough explanation of the embodiments of the present invention. However, it is obvious to those skilled in the art that the embodiments of the present invention can be implemented without these specific details. In other embodiments, well-known structures and devices are shown in the form of block diagrams rather than in detail to avoid making the embodiments of the present invention difficult to understand.

[0055] Figure 1 is a schematic diagram of an implementation environment of an indicator system construction system shown in an exemplary embodiment of the present application, such as Figure 1As shown, the system includes a vehicle 101, a cloud 102, and a client 103, wherein various data during vehicle driving and parking are collected as raw data. After the client obtains the raw data, it cleans, processes, and abstracts the data to obtain meta-indicators (preset meta-indicators), and processes the meta-indicators to obtain derivative indicators and derived indicators. At least one of the above meta-indicators, derivative indicators, and pan-genetic indicators is modified or deleted according to business needs, and finally a certain number of indicators are extracted from the remaining indicators to construct an indicator system. The client in the system can be a device implementation known to those skilled in the art, and is not limited here. The way the client obtains raw data Figure 1 This is just an example, and those skilled in the art may also select other methods to implement it as needed.

[0056] See also Figure 2 , Figure 2 FIG. 1 is a flowchart of an exemplary embodiment of the present application showing a method for constructing an indicator system. Figure 2 As shown, in an exemplary embodiment, the index system construction method includes at least steps S201 to S205, which are described in detail as follows:

[0057] Step S201, obtaining a plurality of preset meta-indicators and a cloud indicator identifier of each preset meta-indicator.

[0058] Among them, the preset meta-indicators are used to count the absolute amount of smart car cloud business data.

[0059] The smart car cloud business data is collected by technicians in this field according to methods known to them.

[0060] An optional method for generating preset meta-indicators is to organize the original data obtained through data collection (such as deleting useless data, deleting abnormal data, etc.), combine it with the detailed application business in the field of smart car cloud, analyze the current pain points and bottlenecks of the application business, and realize abstract extraction to form a meta-indicator. After defining the name and range of the meta-indicator, combine it with the application business needs, define the existing meta-indicator logic, and finally complete the generation of the preset meta-indicator. The generation method of the preset meta-indicator can also be realized by other methods known to those skilled in the art.

[0061] For example, for the parking business, after analysis and abstraction, it is believed that the parking success rate can be used as a meta-indicator. By setting the indicator logic and restriction conditions of the parking success rate, the parking success rate as the preset meta-indicator can be obtained. For example, the ratio of the number of successful parking times to the total number of parking times within a certain period of time is determined as the parking success rate. The parking success rate is limited to the state of parking in the parking space, and temporary parking on the roadside is not taken into consideration.

[0062] For another example, various types of smart car cloud business data collected from smart car cloud application business are filtered and cleaned, and SQL (Structured Query Language) code is written in combination with the actual application logic of the business, and then the processed data is input into each business line. According to the actual indicator requirements of users in the field of smart car cloud, through demand research and analysis, combined with specific business logic, the business demand data is used to complete the meta-indicator generation according to the name, scope, and calculation logic. For example: in the field of smart car cloud, through the user's active business needs for product functions, through research and analysis, it is confirmed that the first indicators are the number of product uses, the number of rides, the average number of passengers, and the mileage. Then, according to the user's needs for each indicator and the actual situation of the business, the number of uses is the number of vehicles after deduplication, and the number of rides is the number of vehicles equipped with this function. The same is true for other indicators.

[0063] See also Figure 3 , Figure 3 FIG. 1 is a flowchart of a meta-indicator definition shown in an exemplary embodiment of the present application. Figure 3 As shown, the collected business raw data is cleaned and processed to obtain business processed data, and the business processed data is abstracted and added with name, time, range and logic to obtain preset meta-indicators ( Figure 3 metric in .

[0064] Step S202: Process at least two preset meta-indicators to obtain at least one derived indicator, and set a derived indicator identifier for each derived indicator.

[0065] In one embodiment, the at least two preset meta-indicators are processed to obtain at least one derived indicator, which includes at least one of the following:

[0066] Comparing at least two preset meta-indicators to obtain at least one derived indicator;

[0067] Calculate statistics for at least two preset meta-indicators to obtain at least one derived indicator;

[0068] Calculate statistics and compare at least two preset meta-indicators to obtain at least one derived indicator.

[0069] In one embodiment, the indicator processing includes but is not limited to at least one of comparison and calculation of statistics, wherein the specific method of the indicator processing can be set according to the needs of the application business.

[0070] The preset meta-indicators are processed by comparing, counting and limiting the dimensions of the indicators. The processing of preset meta-indicators needs to be based on the actual business situation and completed by combining comparison, statistics and other means to form derivative indicators through the processing of preset meta-indicators.

[0071] In one embodiment, performing indicator processing on at least two preset meta-indicators to obtain at least one derived indicator includes:

[0072] Get the indicator logic of each preset meta-indicator;

[0073] Compare the similarity of the indicator logic of each preset meta-indicator.

[0074] Determine each preset meta-indicator with a similarity greater than a preset similarity as having an indicator association relationship;

[0075] Indicator processing is performed on preset meta-indicators having indicator association relationships to obtain at least one derived indicator.

[0076] The indicator logic can be described in words. The semantic similarity of the indicator logic of different preset meta-indicators can determine whether there is an indicator association relationship between the preset meta-indicators. For example, if two preset meta-indicators both include the word "parking", it means that the two preset meta-indicators may have an indicator association relationship. The higher the similarity of the text description of the indicator logic, the stronger the indicator association relationship between the two preset meta-indicators. At this time, the strength of the indicator association relationship can be controlled by setting the preset similarity. Then, by performing indicator processing on two or more preset meta-indicators with an indicator association relationship, at least one derived indicator is obtained.

[0077] In one embodiment, before step S203 and after step S202, the method further includes:

[0078] Generating a derived indicator by applying a time period restriction or a range restriction to an existing indicator, wherein the existing indicator includes at least one of a preset meta-indicator and a derived indicator;

[0079] At this time, the indicators to be managed in the subsequent step S203 also include derived indicators.

[0080] For example, after the initial abstraction and business definition of the smart car cloud business data, preset meta-indicators are formed, such as the number of vehicles in use, mileage, etc. The preset meta-indicators are processed in at least one of the three ways to form derivative indicators of the preset meta-indicators. The processing methods are: comparison, calculation of statistics, index design (combination of comparison and statistical calculation). At the same time, when the meta-indicators and their derivative indicators are limited in dimension, the derived indicators are formed.

[0081] Among them, the preset meta-indicators are statistics on the absolute number of business data. By comparing the preset meta-indicators, that is, the value of a phenomenon in the reporting period / the value of a phenomenon in the base period, such as activity (number of vehicles in use / number of vehicles on board), there are also relative intensity numbers, that is, the value of a certain total indicator + the value of another related but different total indicator, such as the number of connected vehicles (number of SUV connected vehicles + number of coupe connected vehicles); by statistically quantifying the preset meta-indicators, different derivative indicators can also be formed, such as average mileage, number of uses, etc.

[0082] By restricting the above-mentioned indicators (at least one of the preset meta-indicators and derived indicators) by time period, application scope, etc., derived indicators are formed, such as the activity rate of the opening sunroof function.

[0083] See also Figure 4 , Figure 4 FIG. 1 is a flowchart of a meta-indicator processing shown in an exemplary embodiment of the present application. Figure 4 As shown, this process obtains derived indicators by comparing and statistically processing (calculating statistics) meta-indicators (preset meta-indicators), and adds additional limiting conditions to meta-indicators and derived indicators, such as data time limitations, data range (qualified data, unqualified data, total data), etc., to obtain derived indicators.

[0084] Step S203, obtaining the indicator identifier to be managed and the indicator management content, determining the indicator to be managed according to the indicator identifier to be managed, the cloud indicator identifier and the derived indicator identifier, and deleting or modifying the indicator to be managed.

[0085] The indicators to be managed include at least one of preset meta-indicators and derived indicators.

[0086] The generation of the indicator identification to be managed and the indicator management content can be determined according to business needs. According to the business needs, the indicators that need to be modified (the indicator identification to be managed) and how to modify the indicators (the modification content) are determined.

[0087] In one embodiment, modifying the indicator to be managed includes any one of the following:

[0088] Modify the indicator logic of the management indicators;

[0089] Modify the indicator qualification conditions of the indicators to be managed;

[0090] Modify the name of the management indicator.

[0091] Among them, the indicator logic can be the indicator value method, calculation method, etc. of the indicator to be managed. The indicator restriction condition can be the indicator value time period. For example, the data collected before 2020 is processed by the indicator logic 1 of the indicator to be managed, and the data after 2020 is processed by the indicator logic 2 of the indicator to be managed. Although the name of the management indicator has not changed on the surface, its internal value range and indicator logic have changed. This makes it easier to manage and adjust the indicator according to business needs to meet current business needs.

[0092] Due to the rapid business development today, the previously preset meta-indicators need to be updated, deleted, and other operations implemented according to the actual business situation after the definition is completed in order to manage the meta-indicators. Meta-indicator management can modify the meta-indicator name, scope, logic, etc. to better meet current business needs.

[0093] Since there are some limiting conditions in the process of indicator processing, such as application time, scope of use, etc., as the business develops and changes, many indicators are often not applicable to the current environment, or the indicator definition personnel find that some logic of the indicator does not meet the requirements during the application of the indicator. Therefore, it is necessary to manage the defined meta-indicators, such as deleting, modifying the logic, modifying the limiting conditions, etc., to better adapt to the current business needs.

[0094] See also Figure 5 , Figure 5 FIG. 1 is a flowchart of meta-indicator management shown in an exemplary embodiment of the present application. Figure 5 As shown, the time, name, and scope of meta-indicators, derived indicators, and derived indicators can be modified according to business needs to achieve meta-indicator management and meet current business needs.

[0095] Step S204 , labeling each indicator to be labeled in the set of indicators to be labeled with a smart car cloud application business label.

[0096] The set of indicators to be labeled includes the remaining preset meta-indicators, the remaining derived indicators, the modified preset meta-indicators and the modified derived indicators.

[0097] In one embodiment, labeling each indicator to be labeled in the set of indicators to be labeled with a smart car cloud application business label includes:

[0098] Obtaining a preset application business label marking rule, where the preset application business label marking rule includes at least one of a business data type, a business data source, and a business application field;

[0099] According to the preset application business labeling rules, each indicator to be labeled in the indicator set to be labeled is labeled with the smart car cloud application business label.

[0100] By pre-labeling each indicator to be labeled with a smart car cloud application business label, it is easier to find more suitable indicators in a timely and rapid manner when there are related business needs in the future, so as to generate an indicator system. Among them, the business data type can be a business data type set by technical personnel in this field based on the original data. For different indicators to be labeled, the basic data (original data) from which the indicators to be labeled are obtained can be labeled with the business data type of these original data. The business data source can also be the basic data (original data) from which the indicators to be labeled are obtained, the operating data of which devices the original data belongs to, or the data collected by which devices, etc. The business data source of the original data labels the indicators to be labeled generated by the original data.

[0101] Step S205 , constructing an indicator system for the smart car cloud application business based on the smart car cloud application business tags of each indicator to be labeled.

[0102] For example, keywords can be extracted from the needs of smart car cloud application services, multiple target tags can be determined from the keywords of each smart car cloud application service tag, and the indicators to be labeled with target tags can be constructed to obtain an indicator system for at least one smart car cloud application service.

[0103] Among them, one tag to be labeled can correspond to one or more smart car cloud application business tags.

[0104] In one embodiment, if the application service tag includes the smart car cloud smart network indicator, the indicator system of the application service includes the number of vehicles in use, the number of vehicles equipped, and the number of vehicles activated for network connection;

[0105] If the application business tag includes OTA indicators, the indicator system of the application business includes component name, number of upgraded vehicles, number of vehicles with failed upgrades, and upgrade failure rate.

[0106] After the meta-indicators are generated through a series of operations, they are combined with specific business classifications to complete the construction of the relevant indicator system.

[0107] Through the definition and processing of meta-indicators, the corresponding indicator system is generated in combination with the product lines of each business field in the smart car cloud. For example, the smart car cloud intelligent network indicator system includes: the number of vehicles in use, the number of equipped vehicles, the number of networked activated vehicles, etc. Under the OTA indicator system: component name, number of upgraded vehicles, number of vehicles with failed upgrades, upgrade failure rate, etc.

[0108] See also Figure 6 , Figure 6 FIG. 1 is a flowchart of an exemplary embodiment of the present application showing the generation of an indicator system. Figure 6As shown, by extracting the meta-indicators, derivative indicators, and derived indicators in each business product domain, an indicator system for the smart car cloud application business is constructed. The division of each business product domain can use the above-mentioned smart car cloud application business tags to associate the business product domain, associate some smart car cloud application business tags to the business product domain, and then generate indicator extraction. The way to associate the smart car cloud application business tag to the business product domain can be achieved by using the above-mentioned target tag determination method, extracting corresponding keywords for different business product domains, and then associating them with the smart car cloud application business tags.

[0109] Starting from the indicator definition, processing, management, and application value chain, the indicator name, scope, and logic definition are completed through the indicator definition library to achieve meta-indicator definition, and meta-indicator processing is achieved through indicator comparison, statistics, and dimension limitation. Meta-indicator management is achieved through name, scope, and logic management. The indicator system is generated based on the above method steps and can be applied to application scenarios such as active product functions and application store preference analysis in the smart car cloud. The indicator application supports a variety of business needs in the smart car cloud field, and realizes the update and development of the indicator system based on business development and update needs in the smart car cloud field.

[0110] The indicator system construction method provided in the above embodiment obtains multiple preset meta-indicators and cloud indicator identifiers of each preset meta-indicator, processes at least two preset meta-indicators, obtains at least one derivative indicator, and sets a derivative indicator identifier for each derivative indicator, obtains the indicator identifier to be managed and the indicator management content, determines the indicator to be managed according to the indicator identifier to be managed, the cloud indicator identifier and the derivative indicator identifier, deletes or modifies the indicator to be managed, and labels each indicator to be labeled in the indicator set with a smart car cloud application business label, and constructs an indicator system for the smart car cloud application business based on the smart car cloud application business label of each indicator to be labeled, provides a method for modifying and managing indicators, and then generates an indicator system based on at least a part of the indicators after management, and the adjustment of the indicator system is more flexible and can meet business development needs.

[0111] Figure 7 is a block diagram of an indicator system construction device shown in an exemplary embodiment of the present application. The device can be applied to Figure 1 The device may also be applicable to other exemplary implementation environments and specifically configured in other devices, and this embodiment does not limit the implementation environment to which the device is applicable.

[0112] like Figure 7 As shown, the exemplary indicator system construction device 700 includes:

[0113] An acquisition module 701 is used to acquire a plurality of preset meta-indicators and cloud indicator identifiers of the preset meta-indicators, wherein the preset meta-indicators are used to count the absolute amount of smart car cloud service data;

[0114] The indicator processing module 702 is used to perform indicator processing on at least two preset meta-indicators to obtain at least one derived indicator, and set a derived indicator identifier for each derived indicator;

[0115] The indicator management module 703 is used to obtain the indicator identifier to be managed and the indicator management content, determine the indicator to be managed according to the indicator identifier to be managed, the cloud indicator identifier and the derived indicator identifier, and delete or modify the indicator to be managed. The indicator to be managed includes at least one of a preset meta-indicator and a derived indicator.

[0116] The indicator labeling module 704 is used to label each indicator to be labeled in the indicator set with a smart car cloud application business label, and the indicator set to be labeled includes the remaining preset meta-indicators, the remaining derived indicators, the modified preset meta-indicators, and the modified derived indicators;

[0117] The indicator system construction module 705 is used to construct an indicator system for the smart car cloud application business based on the smart car cloud application business label of each indicator to be labeled.

[0118] It should be noted that the indicator system construction device provided in the above embodiment is different from the above embodiment. Figure 2 The provided index system construction method belongs to the same concept, in which the specific way in which each module and unit performs the operation has been described in detail in the method embodiment, and will not be repeated here. In practical applications, the index system construction device provided in the above embodiment can allocate the above functions to different functional modules as needed, that is, divide the internal structure of the device into different functional modules to complete all or part of the functions described above, and this is not limited here.

[0119] An embodiment of the present application also provides an electronic device, comprising: one or more processors; a storage device for storing one or more programs, and when the one or more programs are executed by the one or more processors, the electronic device implements the indicator system construction method provided in the above-mentioned embodiments.

[0120] Figure 8 The structure diagram of the computer system suitable for implementing the electronic device of the embodiment of the present application is shown. It should be noted that: Figure 8 The computer system 800 of the electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0121] like Figure 8As shown, the computer system 800 includes a central processing unit (CPU) 801, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 802 or the program loaded from the storage part 808 to the random access memory (RAM) 803, such as executing the method described in the above embodiment. In the RAM 803, various programs and data required for system operation are also stored. The CPU 801, ROM 802 and RAM 803 are connected to each other through a bus 804. An input / output (I / O) interface 805 is also connected to the bus 804.

[0122] The following components are connected to the I / O interface 805: an input section 806 including a keyboard, a mouse, etc.; an output section 807 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker; a storage section 808 including a hard disk, etc.; and a communication section 809 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 809 performs communication processing via a network such as the Internet. A drive 810 is also connected to the I / O interface 805 as needed. A removable medium 811, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 810 as needed so that a computer program read therefrom is installed into the storage section 808 as needed.

[0123] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication section 809, and / or installed from a removable medium 811. When the computer program is executed by a central processing unit (CPU) 801, various functions defined in the system of the present application are executed.

[0124] It should be noted that the computer-readable medium shown in the embodiment of the present application can be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium can be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media can include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, wherein a computer-readable computer program is carried. This propagated data signal can take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. A computer program contained on a computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0125] The flowchart and block diagram in the accompanying drawings illustrate the possible architecture, functions and operations of the system, method and computer program product according to various embodiments of the present application. Wherein, each box in the flowchart or block diagram can represent a module, a program segment, or a part of the code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0126] The units involved in the embodiments described in this application may be implemented by software or hardware, and the units described may also be set in a processor. The names of these units do not, in some cases, constitute limitations on the units themselves.

[0127] Another aspect of the present application further provides a computer-readable storage medium having a computer program stored thereon, which implements the index system construction method as described above when the computer program is executed by a processor. The computer-readable storage medium may be included in the electronic device described in the above embodiment, or may exist independently without being assembled into the electronic device.

[0128] Another aspect of the present application also provides a computer program product or a computer program, which includes a computer instruction stored in a computer-readable storage medium. A processor of a computer device reads the computer instruction from the computer-readable storage medium, and the processor executes the computer instruction, so that the computer device executes the index system construction method provided in each of the above embodiments.

[0129] The above embodiments are merely illustrative of the principles and effects of the present invention, and are not intended to limit the present invention. Anyone familiar with the technology may modify or change the above embodiments without violating the spirit and scope of the present invention. Therefore, all equivalent modifications or changes made by a person of ordinary skill in the art without departing from the spirit and technical ideas disclosed by the present invention shall still be covered by the claims of the present invention.

Claims

1. A method for constructing an indicator system, characterized in that: The indicator system construction method includes: Acquire multiple preset meta-indicators and cloud indicator identifiers of the preset meta-indicators, wherein the preset meta-indicators are used to count the absolute amount of smart car cloud service data; Performing indicator processing on at least two of the preset meta-indicators to obtain at least one derived indicator, and setting a derived indicator identifier for each of the derived indicators, wherein performing indicator processing on at least two of the preset meta-indicators to obtain at least one derived indicator includes: obtaining the indicator logic of each of the preset meta-indicators; performing similarity comparison on the indicator logic of each of the preset meta-indicators, and determining each of the preset meta-indicators with a similarity greater than a preset similarity as having an indicator association relationship; performing indicator processing on the preset meta-indicators having the indicator association relationship to obtain at least one derived indicator; Obtaining the indicator identifier to be managed and the indicator management content, determining the indicator to be managed according to the indicator identifier to be managed, the cloud indicator identifier and the derived indicator identifier, and deleting or modifying the indicator to be managed, wherein the indicator to be managed includes the preset meta-indicator and the derived indicator; Respectively labeling the smart car cloud application business label for each indicator to be labeled in the indicator set to be labeled, wherein the indicator set to be labeled includes the remaining preset meta-indicators, the remaining derived indicators, the modified preset meta-indicators, and the modified derived indicators; An indicator system for the smart car cloud application business is constructed based on the smart car cloud application business labels of the indicators to be labeled.

2. The method for constructing an indicator system according to claim 1, characterized in that: The at least two preset meta-indicators are processed to obtain at least one derived indicator, including at least one of the following: Comparing at least two of the preset meta-indicators to obtain at least one derived indicator; Calculating statistics for at least two of the preset meta-indicators to obtain at least one derived indicator; Calculate statistics and compare at least two of the preset meta-indicators to obtain at least one derived indicator.

3. The method for constructing an indicator system according to claim 1, characterized in that: Obtaining the indicator identifier to be managed and the indicator management content, determining the indicator to be managed according to the indicator identifier to be managed, the cloud indicator identifier and the derived indicator identifier, and before deleting or modifying the indicator to be managed, the indicator system construction method further includes: Generating a derived indicator by applying a time period restriction or a range restriction to the existing indicator, wherein the existing indicator includes at least one of a preset meta-indicator and a derived indicator; At this time, the indicator to be managed also includes the derived indicator.

4. The method for constructing an indicator system according to claim 1, characterized in that: Modifying the indicator to be managed includes any of the following: Modify the indicator logic of the indicator to be managed; Modify the indicator limitation conditions of the indicator to be managed.

5. The method for constructing an indicator system according to any one of claims 1 to 4, characterized in that: Labeling the smart car cloud application business label for each indicator in the set of indicators to be labeled includes: Obtaining a preset application service label marking rule, wherein the preset application service label marking rule includes at least one of a service data type, a service data source, and a service application field; According to the preset application service labeling rule, each indicator to be labeled in the indicator set to be labeled is labeled with a smart car cloud application service label.

6. The method for constructing an indicator system according to claim 5, characterized in that: If the application service tag includes the smart car cloud smart network indicator, the indicator system of the application service includes the number of vehicles in use, the number of vehicles equipped, and the number of vehicles activated for network connection; If the application service tag includes OTA indicators, the indicator system of the application service includes component name, number of upgraded vehicles, number of vehicles that failed to upgrade, and upgrade failure rate.

7. An indicator system construction device, characterized in that: The indicator system construction device comprises: An acquisition module, used to acquire a plurality of preset meta-indicators and cloud indicator identifiers of the preset meta-indicators, wherein the preset meta-indicators are used to count the absolute amount of smart car cloud service data; An indicator processing module is used to perform indicator processing on at least two of the preset meta-indicators to obtain at least one derived indicator, and set a derived indicator identifier for each of the derived indicators, wherein the indicator processing on at least two of the preset meta-indicators to obtain at least one derived indicator includes: obtaining the indicator logic of each of the preset meta-indicators; performing a similarity comparison on the indicator logic of each of the preset meta-indicators, and determining each of the preset meta-indicators with a similarity greater than a preset similarity as having an indicator association relationship; performing indicator processing on the preset meta-indicators having the indicator association relationship to obtain at least one derived indicator; An indicator management module, used to obtain an indicator identifier to be managed and an indicator management content, determine the indicator to be managed according to the indicator identifier to be managed, the cloud indicator identifier and the derived indicator identifier, and delete or modify the indicator to be managed, wherein the indicator to be managed includes the preset meta-indicator and the derived indicator; An indicator labeling module, used to label each indicator to be labeled in the indicator set to be labeled with a smart car cloud application business label, wherein the indicator set to be labeled includes the remaining preset meta-indicators, the remaining derived indicators, the modified preset meta-indicators, and the modified derived indicators; The indicator system construction module is used to construct an indicator system for the smart car cloud application business based on the smart car cloud application business labels of each of the indicators to be labeled.

8. An electronic device, characterized in that: include: one or more processors; A storage device for storing one or more programs, which, when executed by the one or more processors, enables the electronic device to implement the indicator system construction method as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: Computer-readable instructions are stored thereon, and when the computer-readable instructions are executed by a processor of a computer, the computer is caused to execute the indicator system construction method according to any one of claims 1 to 6.

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