CN115115231A - Index system construction method and device, electronic equipment and storage medium - Google Patents
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Abstract
The application provides an index system construction method, an index system construction device, electronic equipment and a storage medium, wherein a plurality of preset element indexes and cloud index identifications of the preset element indexes are obtained, at least two preset element indexes are subjected to index processing to obtain at least one derivative index, derivative index identifications are arranged on the derivative indexes, the identification of the indexes to be managed and index management contents are obtained, the indexes to be managed are determined according to the identification of the indexes to be managed, the cloud index identifications and the derivative index identifications, the indexes to be managed are deleted or modified, the indexes to be labeled in an index set are respectively labeled with intelligent vehicle cloud application service labels, the index system of the intelligent vehicle cloud application service is constructed based on the intelligent vehicle cloud application service labels of the indexes to be labeled, a mode for modifying and managing the indexes is provided, and the index system is further generated according to at least one part of the managed indexes, the adjustment of the index system is more flexible, and the requirement of service development can be met.
Description
Technical Field
The embodiment of the application relates to the technical field of vehicles, in particular to an index system construction method and device, electronic equipment and a storage medium.
Background
In recent years, intelligent networked automobiles are more and more popular, and the development of the automobiles is more and more towards intellectualization and networking. The intelligent vehicle cloud platform is an important component in automatic driving and has the functions of navigation, positioning, early warning and the like. And various services in the field of intelligent vehicle cloud are converged and cooperated, the development is fast, and the management requirement on an index system is high.
In the related art, the construction of the index system in the field of the intelligent vehicle cloud is usually based on the manual definition and construction of the index system of related indexes by related technicians, and the index system is relatively rigid and cannot meet the development requirement of services.
Disclosure of Invention
In view of the above disadvantages of the prior art, embodiments of the present invention provide an index system construction method, an apparatus, an electronic device, and a storage medium, so as to solve the technical problem that an index system in the related art is relatively rigid and cannot meet the development requirement of a service.
The embodiment of the invention provides an index system construction method, which comprises the following steps:
acquiring a plurality of preset meta indexes and cloud index identifications of the preset meta indexes, wherein the preset meta indexes are used for counting the absolute quantity of cloud service data of the intelligent vehicle;
performing index processing on at least two preset meta indexes to obtain at least one derivative index, and setting a derivative index identifier for each derivative index;
acquiring an index identifier to be managed and index management content, determining an index to be managed according to the index identifier to be managed, the cloud index identifier and the derived index identifier, and deleting or modifying the index to be managed, wherein the index to be managed comprises at least one of the preset meta index and the derived index;
labeling the intelligent vehicle cloud application service labels for each index to be labeled in an index set to be labeled respectively, wherein the index set to be labeled comprises each remaining preset meta index, each remaining derivative index, each modified preset meta index and each modified derivative index;
and constructing an index system of the intelligent vehicle cloud application service based on the intelligent vehicle cloud application service labels of the indexes to be labeled.
In an embodiment of the present invention, the index processing on at least two of the predetermined meta-indexes to obtain at least one derived index includes at least one of the following:
comparing at least two preset element indexes to obtain at least one derivative index;
calculating statistics of at least two preset meta-indexes to obtain at least one derivative index;
and calculating statistic and comparison on at least two preset meta indexes to obtain at least one derivative index.
In an embodiment of the present invention, an index identifier to be managed and index management content are obtained, an index to be managed is determined according to the index identifier to be managed, the cloud index identifier and a derived index identifier, and before the index to be managed is deleted or modified, the index system construction method further includes:
limiting the existing index by a time period or an application range to generate a derivative index, wherein the existing index comprises at least one of a preset meta index and a derivative index;
at this time, the to-be-managed index further includes the derived index.
In an embodiment of the present invention, modifying the index to be managed includes any one of:
modifying the index logic of the index to be managed;
and modifying the index limiting conditions of the index to be managed.
In an embodiment of the present invention, the performing index processing on at least two of the predetermined meta-indexes to obtain at least one derived index includes:
acquiring index logic of each preset index;
comparing the similarity of the index logic of each preset meta index,
determining each preset element index with similarity larger than preset similarity as having index association relationship;
and carrying out index processing on the preset meta index with the index association relation to obtain at least one derivative index.
In an embodiment of the present invention, the labeling of the smart car cloud application service tag on each to-be-labeled index in the to-be-labeled index set respectively includes:
acquiring a preset application service label marking rule, wherein the preset application service label marking rule comprises at least one of a service data type, a service data source and a service application field;
and marking the intelligent vehicle cloud application service label on each index to be marked in the index set to be marked according to the preset application service label marking rule.
In an embodiment of the present invention, if the application service tag includes an intelligent vehicle cloud intelligent network connection index, the index system of the application service includes the number of used vehicles, the number of carrying vehicles, and the number of network connection activated vehicles;
and if the application service label comprises an OTA index, the index system of the application service comprises a component name, the number of upgrading vehicles, the number of upgrading failure vehicles and the upgrading failure rate.
The invention also provides an index system construction device, which comprises:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring a plurality of preset meta indexes and cloud index identifications of the preset meta indexes, and the preset meta indexes are used for counting the absolute quantity of cloud service data of the intelligent vehicle;
the index processing module is used for performing index processing on at least two preset element indexes to obtain at least one derivative index and setting a derivative index identifier for each derivative index;
the index management module is used for acquiring an index identifier to be managed and index management content, determining an index to be managed according to the index identifier to be managed, the cloud index identifier and the derived index identifier, and deleting or modifying the index to be managed, wherein the index to be managed comprises at least one of the preset meta index and the derived index;
the index marking module is used for marking each index to be marked in an index set to be marked by an intelligent vehicle cloud application service label, wherein the index set to be marked comprises each remaining preset meta index, each remaining derivative index, each modified preset meta index and each modified derivative index;
and the index system building module is used for building an index system of the intelligent vehicle cloud application service based on the intelligent vehicle cloud application service labels of the indexes to be marked.
An embodiment of the present invention further provides an electronic device, including:
one or more processors;
storage means for storing one or more programs which, when executed by the one or more processors, cause the electronic device to implement the index architecture construction method as described in any of the above embodiments.
Embodiments of the present invention also provide a computer-readable storage medium, on which computer-readable instructions are stored, and when the computer-readable instructions are executed by a processor of a computer, the computer is caused to execute the index system construction method described in any one of the above embodiments.
The embodiment of the invention has the following beneficial effects: the index system construction method, the device, the electronic equipment and the storage medium in the embodiment of the invention are characterized in that a plurality of preset element indexes and cloud index identifications of the preset element indexes are obtained, at least two preset element indexes are subjected to index processing to obtain at least one derivative index, derivative index identifications are set for the derivative indexes to obtain an index identification to be managed and index management contents, the index to be managed is determined according to the index identification to be managed, the cloud index identification and the derivative index identifications, the index to be managed is deleted or modified, each index to be labeled in an index set is labeled with an intelligent vehicle cloud application service label, the index system of the intelligent vehicle cloud application service is constructed based on the intelligent vehicle cloud application service labels of the indexes to be labeled, a mode of modifying and managing the indexes is provided, and the index system is further generated according to at least one part of the managed indexes, the adjustment of the index system is more flexible, and the requirement of service development can be met.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application. It is obvious that the drawings in the following description are only some embodiments of the application, and that for a person skilled in the art, other drawings can be derived from them without inventive effort. In the drawings:
FIG. 1 is a schematic diagram of an implementation environment of a method for constructing an index architecture according to an exemplary embodiment of the present application;
FIG. 2 is a flow diagram illustrating a method of index architecture construction in accordance with an exemplary embodiment of the present application;
FIG. 3 is a flow diagram illustrating meta-metric definition in an exemplary embodiment of the present application;
FIG. 4 is a flow diagram illustrating meta-metric processing according to an exemplary embodiment of the present application;
FIG. 5 is a flow diagram illustrating meta index management in an exemplary embodiment of the present application;
FIG. 6 is a flow diagram illustrating the generation of an index hierarchy in accordance with an exemplary embodiment of the present application;
FIG. 7 is a block diagram of an index architecture building apparatus shown in an exemplary embodiment of the present application;
FIG. 8 illustrates a schematic structural diagram of a computer system suitable for use in implementing the electronic device of an embodiment of the present application.
Detailed Description
Other advantages and effects of the present invention will become apparent to those skilled in the art from the disclosure herein, wherein the embodiments of the present invention are described in detail with reference to the accompanying drawings and preferred embodiments. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It should be understood that the preferred embodiments are only for illustrating the present invention, and are not intended to limit the scope of the present invention.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
In the following description, numerous details are set forth to provide a more thorough explanation of embodiments of the present invention, however, it will be apparent to one skilled in the art that embodiments of the present invention may be practiced without these specific details, and in other embodiments, well-known structures and devices are shown in block diagram form, rather than in detail, in order to avoid obscuring embodiments of the present invention.
Fig. 1 is a schematic diagram of an implementation environment of an index system construction system according to an exemplary embodiment of the present application, as shown in fig. 1, the system includes a vehicle 101, a cloud 102, and a client 103, where each item of data in a vehicle driving and parking process is collected as original data, the client obtains the original data and then performs processing such as cleaning, processing, and abstracting on the data to obtain a meta-index (a preset meta-index), performs index processing on the meta-index to obtain a derivative index and a derivative index, modifies or deletes at least one of the meta-index, the derivative index, and the generic index according to a service requirement, and finally extracts a certain number of indexes from the remaining indexes to construct an index system. The client in the system may be a device implementation known to those skilled in the art, and is not limited herein. The manner in which the client acquires the original data is also shown in fig. 1 as an example, and those skilled in the art may select other manners as needed to implement the method.
Referring to fig. 2, fig. 2 is a flowchart illustrating a method for constructing an index architecture according to an exemplary embodiment of the present application. As shown in fig. 2, in an exemplary embodiment, the index system building method at least includes steps S201 to S205, which are described in detail as follows:
step S201, a plurality of preset meta indexes and cloud index identifiers of the preset meta indexes are obtained.
The preset meta-index is used for counting the absolute quantity of the cloud service data of the intelligent vehicle.
The smart car cloud service data is collected by a person skilled in the art according to a known manner.
An optional preset meta-index generation method comprises the steps of sorting original data obtained through data acquisition (such as deleting useless data and abnormal data), combining detailed application services in the field of intelligent vehicle cloud, realizing abstract extraction after analyzing current pain points and blockage points of the application services to form a meta-index, defining the name and range of the meta-index, combining application service requirements, defining the logic of the existing meta-index, and finally completing the generation of the preset meta-index. The generation mode of the preset meta index can also be realized by other modes known by those skilled in the art.
For example, for a parking service, after the analysis and the abstraction, it is considered that the parking success rate can be used as a meta-index, and the index logic and the limiting conditions of the parking success rate are set, so as to obtain the parking success rate as a preset meta-index, for example, the ratio of the number of successful parking times to the total number of parking times within a certain time is determined as the parking success rate, which is limited to the state of stopping at the parking space, and the roadside imminent parking is not considered.
For another example, various smart car cloud service data collected from the smart car cloud application service are subjected to screening and cleaning, SQL (Structured Query Language) code writing is performed in combination with actual application logic of the service, and then the processed data are input to each service line. According to actual index requirements of users in the field of intelligent vehicle cloud, through requirement investigation and analysis and by combining with specific business logic, the business requirement data is subjected to meta-index generation according to name, range and computational logic, such as: in the field of intelligent vehicle cloud, indexes such as the number of used products, the carrying number, the average number of people, mileage and the like are firstly confirmed through investigation and analysis according to business requirements of users on the product with active functions. Then, according to the requirements of users on each index and the actual condition of the service, the number of the used vehicles and the number of the loaded vehicles are the number of the vehicles loaded with the function, and other indexes are similar.
Referring to fig. 3, fig. 3 is a flow chart illustrating meta indicator definition according to an exemplary embodiment of the present application. As shown in fig. 3, the collected original service data is cleaned and processed to obtain service processing data, and the service processing data is abstracted and added with name, time, range, logic, and the like to obtain a preset meta index (the meta index in fig. 3).
Step S202, index processing is carried out on at least two preset meta indexes to obtain at least one derivative index, and derivative index identification is set for each derivative index.
In an embodiment, the index processing is performed on at least two preset meta indexes, and the obtaining of the at least one derived index includes at least one of:
comparing at least two preset element indexes to obtain at least one derivative index;
calculating statistics of at least two preset meta indexes to obtain at least one derivative index;
and calculating statistic and comparison on at least two preset meta indexes to obtain at least one derivative index.
In one embodiment, the index processing includes but is not limited to at least one of comparing and calculating statistics, wherein the specific mode of index processing can be set according to the needs of application business.
The preset meta-index is processed by comparing, counting and defining the dimension of the index. The preset meta-index processing needs to be completed based on the actual service condition by means of comparison, statistics and the like, and derivative indexes are formed by processing the preset meta-index.
In an embodiment, the index processing of the at least two preset meta indexes to obtain at least one derived index includes:
acquiring index logic of each preset meta index;
comparing the similarity of the index logic of each preset meta index,
determining each preset element index with the similarity greater than the preset similarity as having an index association relationship;
and carrying out index processing on the preset meta-index with the index association relation to obtain at least one derivative index.
The index logic can be described through characters, and whether index association relationship exists between the preset element indexes can be determined based on semantic similarity of the index logic of different preset element indexes, for example, if two preset element indexes comprise parking characters, the index association relationship possibly exists between the two preset element indexes, and if the character description similarity of the index logic is higher, the index association relationship between the two preset element indexes is stronger. At the moment, the strength of the index association relation can be controlled by setting the preset similarity. And then, carrying out index processing on two or more preset meta indexes with the index association relation to obtain at least one derivative index.
In an embodiment, before step S203, after step S202, the method further includes:
limiting the time period or the application range of the existing index to generate a derivative index, wherein the existing index comprises at least one of a preset meta index and the derivative index;
at this time, the indexes to be managed in the subsequent step S203 include also derived indexes.
For example, after the intelligent vehicle cloud service data is subjected to preliminary abstraction and service definition to form preset meta indexes, such as the number of vehicles and mileage. The preset element index is subjected to at least one of three processing modes to form a derivative index of the preset element index, wherein the processing modes are as follows: and carrying out comparison, calculation of statistics and index design (combining comparison and statistical calculation), and forming a derivative index after dimension limitation is carried out on the meta index and the derivative index thereof.
The preset meta-indexes are statistics of the absolute quantity of the service data, and the preset meta-indexes are compared, namely a certain phenomenon report period value/a certain phenomenon base period value, such as the activity (the number of vehicles used/the number of vehicles carried), and relative intensity values, namely a certain total index value + another linked and different total index values, such as the number of networked vehicles (SUV number of networked vehicles + the number of cars running networked vehicles); different derivative indexes such as average mileage, use times and the like can be formed by carrying out statistics on the preset element indexes.
And limiting the time period, the application range and the like of the index (at least one of the preset meta index and the derivative index) to form a derivative index, such as the active rate of the function of opening the skylight.
Referring to fig. 4, fig. 4 is a flow chart illustrating meta-metric processing according to an exemplary embodiment of the present application. As shown in fig. 4, in the process, a derivative index is obtained by comparing meta indexes (preset meta indexes) and performing statistical (statistic calculation) processing, and an accessory limitation condition, such as a data time limitation, a data range (qualified data, unqualified data, and total data), is performed on the meta indexes and the derivative index, so as to obtain the derivative index.
Step S203, acquiring the index identifier to be managed and the index management content, determining the index to be managed according to the index identifier to be managed, the cloud index identifier and the derived index identifier, and deleting or modifying the index to be managed.
The index to be managed comprises at least one of a preset meta index and a derivative index.
The generation of the index identifier to be managed and the index management content can be determined according to the business requirements, the index to be modified (the index identifier to be managed) is determined according to the business requirements, and how to modify the index (the content is modified).
In an embodiment, modifying the index to be managed includes any one of:
modifying the index logic of the index to be managed;
modifying the index limiting condition of the index to be managed;
and modifying the name of the index to be managed.
The index logic may be an index value mode, a calculation mode, and the like of the index to be managed. The index limiting condition may be a value time period of the index, for example, data acquired before 2020 is processed by an index logic one of the index to be managed, and data after 2020 is processed by an index logic two of the index to be managed, and although the name of the index to be managed is not changed on the surface, the value range and the index logic inside the index to be managed are changed, so that the index can be managed and adjusted according to the service requirement to fit the current service requirement.
Due to the fact that the current business development speed is high, after the preset meta-index is defined, operations such as updating and deleting need to be achieved according to the actual situation of the business, management of the meta-index is achieved, and modification of the name, the range, the logic and the like of the meta-index can be achieved through meta-index management, so that the current business requirements can be met better.
Because some of the indexes are subjected to limiting conditions in the processing process, such as application time, use range and the like, but with the development and change of the service, many indexes cannot be suitable for the current environment, or some logic of the indexes found by a marker definition worker in the application process of the indexes does not meet the requirements, the defined meta indexes need to be managed, such as deletion, logic modification, limiting condition modification and the like, so as to better adapt to the current service requirements.
Referring to fig. 5, fig. 5 is a flowchart illustrating meta indicator management according to an exemplary embodiment of the present application. As shown in fig. 5, the meta index, the derived index, and the derived index may be modified in time, name, and range according to the service requirement to manage the meta index, so as to meet the current service requirement.
And S204, respectively labeling the intelligent vehicle cloud application service labels for each index to be labeled in the index set to be labeled.
The index set to be labeled comprises the remaining preset element indexes, the remaining derivative indexes, the modified preset element indexes and the modified derivative indexes.
In one embodiment, the labeling of the intelligent vehicle cloud application service label on each index to be labeled in the index set to be labeled respectively comprises:
acquiring a preset application service label marking rule, wherein the preset application service label marking rule comprises at least one of a service data type, a service data source and a service application field;
and marking the intelligent vehicle cloud application service label on each index to be marked in the index set to be marked according to a preset application service label marking rule.
By marking each index to be marked with the intelligent vehicle cloud application service label in advance, the index which meets the requirement can be found timely and quickly more conveniently when relevant service requirements exist in the follow-up process, and an index system can be generated. The service data type may be a service data type set by a person skilled in the art based on the original data, and for different indexes to be labeled, which are obtained from which basic data (original data), the service data type of the original data may be correspondingly labeled. The service data source may also be an index to be labeled obtained from which basic data (original data), the original data being operation data of which devices, data collected by which devices, and the like, the service data source of the original data labeling the index to be labeled generated by the original data.
And S205, constructing an index system of the intelligent vehicle cloud application service based on the intelligent vehicle cloud application service labels of each index to be labeled.
For example, keyword extraction can be performed on the requirements of the smart car cloud application services, a plurality of target tags are determined from each smart car cloud application service tag by the keyword, and an index system of at least one smart car cloud application service is constructed by the index to be labeled with the target tags.
One label to be labeled can correspond to one or more intelligent vehicle cloud application service labels.
In one embodiment, if the application service label comprises an intelligent vehicle cloud intelligent network connection index, an index system of the application service comprises the number of using vehicles, the number of carrying vehicles and the number of network connection activation vehicles;
if the application service label comprises OTA indexes, an index system of the application service comprises a component name, the number of upgrading vehicles, the number of upgrading failure vehicles and the upgrading failure rate.
After the generation of the meta-index is realized through a series of operations, the construction of a related index system is completed by combining with the classification of specific services.
Through the indexes formed after defining and processing the meta indexes, the generation of a corresponding index system is completed by combining the belongings of all business field product lines in all intelligent vehicle clouds, and if the intelligent vehicle cloud intelligent network connection index system comprises: using the number of vehicles, the number of loaded vehicles, the number of internet enabled vehicles and the like, under an OTA index system: component name, number of upgrade vehicles, number of upgrade failure vehicles, upgrade failure rate, and the like.
Referring to FIG. 6, FIG. 6 is a flow chart illustrating the generation of an index system in accordance with an exemplary embodiment of the present application. As shown in fig. 6, an index system of the smart car cloud application service is constructed by extracting meta indexes, derivative indexes, and derivative indexes in each service product domain. The division of each service product domain can adopt the intelligent vehicle cloud application service tags to carry out association of the service product domains, certain intelligent vehicle cloud application service tags are associated to the service product domains, indexes are further generated and extracted, the mode that the intelligent vehicle cloud application service tags are associated to the service product domains can be realized by adopting the determining mode of the target tags, corresponding keywords are extracted for different service product domains, and then the keywords are associated to the intelligent vehicle cloud application service tags.
According to the method, the index definition, the processing, the management and the application value chain are started, the meta-index definition is realized by completing the index name, range and logic definition through the index definition library, the meta-index processing is realized by index comparison, statistics and dimension limitation, the meta-index is managed by managing the name, range and logic, the generation of an index system is realized based on the method steps, and the method can be applied to application scenes such as product function activity and application store preference analysis in the intelligent vehicle cloud. The index application supports business requirements of various intelligent vehicle cloud fields, and updating development of an index system based on the business development updating requirements in the intelligent vehicle cloud field is achieved.
The index system construction method provided in the above embodiment includes obtaining a plurality of preset element indexes and cloud index identifiers of the preset element indexes, performing index processing on at least two preset element indexes to obtain at least one derivative index, setting a derivative index identifier for each derivative index, obtaining an index identifier to be managed and index management contents, determining an index to be managed according to the index identifier to be managed, the cloud index identifier and the derivative index identifier, deleting or modifying the index to be managed, labeling an intelligent vehicle cloud application service label for each index to be labeled in an index set, constructing an index system of an intelligent vehicle cloud application service based on the intelligent vehicle cloud application service label for each index to be labeled, providing a way of modifying and managing the indexes, and further generating an index system according to at least a part of managed indexes, the adjustment of the index system is more flexible, and the requirement of service development can be met.
Fig. 7 is a block diagram of an index architecture construction apparatus shown in an exemplary embodiment of the present application. The apparatus may be applied to the implementation environment shown in fig. 1. The apparatus may also be applied to other exemplary implementation environments, and is specifically configured in other devices, and the embodiment does not limit the implementation environment to which the apparatus is applied.
As shown in FIG. 7, the exemplary index architecture building apparatus 700 includes:
the acquiring module 701 is used for acquiring a plurality of preset meta indexes and cloud index identifiers of the preset meta indexes, wherein the preset meta indexes are used for counting the absolute quantity of the cloud service data of the intelligent vehicle;
an index processing module 702, configured to perform index processing on at least two preset meta indexes to obtain at least one derivative index, and set a derivative index identifier for each derivative index;
the index management module 703 is configured to obtain an identifier of an index to be managed and index management content, determine the index to be managed according to the identifier of the index to be managed, the identifier of a cloud index, and the identifier of a derivative index, and delete or modify the index to be managed, where the index to be managed includes at least one of a preset meta index and a derivative index;
the index labeling module 704 is used for labeling the intelligent vehicle cloud application service labels on each index to be labeled in the index set to be labeled respectively, wherein the index set to be labeled comprises the remaining preset meta indexes, the remaining derivative indexes, the modified preset meta indexes and the modified derivative indexes;
an index system building module 705, configured to build an index system of the smart car cloud application service based on the smart car cloud application service tag of each index to be labeled.
It should be noted that the index architecture constructing apparatus provided in the foregoing embodiment and the index architecture constructing method provided in fig. 2 belong to the same concept, and specific ways of executing operations by each module and unit have been described in detail in the method embodiment, and are not described herein again. In practical applications, the index system building apparatus provided in the foregoing embodiment may distribute the functions to different functional modules according to needs, that is, divide the internal structure of the apparatus into different functional modules to complete all or part of the functions described above, which is not limited herein.
An embodiment of the present application further provides an electronic device, including: one or more processors; a storage device, configured to store one or more programs, which when executed by the one or more processors, cause the electronic device to implement the index architecture construction method provided in the foregoing embodiments.
FIG. 8 illustrates a schematic structural diagram of a computer system suitable for use in implementing the electronic device of an embodiment of the present application. It should be noted that the computer system 800 of the electronic device shown in fig. 8 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 8, the computer system 800 includes a Central Processing Unit (CPU)801, which can perform various appropriate actions and processes, such as executing the method described in the above embodiments, according to a program stored in a Read-Only Memory (ROM) 802 or a program loaded from a storage portion 808 into a Random Access Memory (RAM) 803. In the RAM 803, various programs and data necessary for system operation are also stored. The CPU801, ROM 802, and RAM 803 are connected to each other via a bus 804. An Input/Output (I/O) interface 805 is also connected to bus 804.
The following components are connected to the I/O interface 805: an input portion 806 including a keyboard, a mouse, and the like; an output section 807 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and a speaker; a storage section 808 including a hard disk and the like; and a communication section 809 including a Network interface card such as a LAN (Local Area Network) card, a modem, or the like. 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 necessary. A removable medium 811 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 810 as necessary, so that a computer program read out therefrom is mounted on the storage section 808 as necessary.
In particular, according to embodiments of the application, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising a computer program for performing the method illustrated by the flow chart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication section 809 and/or installed from the removable medium 811. When the computer program is executed by the Central Processing Unit (CPU)801, various functions defined in the system of the present application are executed.
It should be noted that the computer readable medium shown in the embodiments of the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. The computer readable storage medium may be, for example, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, 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 Disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer-readable signal medium may comprise a propagated data signal with a computer-readable computer program embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. The computer program embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. Each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present application may be implemented by software, or may be implemented by hardware, and the described units may also be disposed in a processor. Wherein the names of the elements do not in some way constitute a limitation on the elements themselves.
Yet another aspect of the present application provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the index architecture construction method as described above. The computer-readable storage medium may be included in the electronic device described in the above embodiment, or may exist separately without being incorporated in the electronic device.
Another aspect of the application also provides a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and executes the computer instructions, so that the computer device executes the index architecture construction method provided in the above embodiments.
The foregoing embodiments are merely illustrative of the principles of the present invention and its efficacy, and are not to be construed as limiting the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (10)
1. An index system construction method, characterized in that the index system construction method comprises:
acquiring a plurality of preset meta indexes and cloud index identifications of the preset meta indexes, wherein the preset meta indexes are used for counting the absolute quantity of cloud service data of the intelligent vehicle;
performing index processing on at least two preset meta indexes to obtain at least one derivative index, and setting a derivative index identifier for each derivative index;
acquiring an index identifier to be managed and index management content, determining an index to be managed according to the index identifier to be managed, the cloud index identifier and the derived index identifier, and deleting or modifying the index to be managed, wherein the index to be managed comprises at least one of the preset meta index and the derived index;
labeling the intelligent vehicle cloud application service labels for each index to be labeled in an index set to be labeled respectively, wherein the index set to be labeled comprises each remaining preset meta index, each remaining derivative index, each modified preset meta index and each modified derivative index;
and constructing an index system of the intelligent vehicle cloud application service based on the intelligent vehicle cloud application service labels of the indexes to be labeled.
2. The index system construction method of claim 1, wherein index processing at least two of the predetermined meta-indices to obtain at least one derived index comprises at least one of:
comparing at least two preset element indexes to obtain at least one derivative index;
calculating statistics of at least two preset meta-indexes to obtain at least one derivative index;
and calculating statistic and comparison on at least two preset meta indexes to obtain at least one derivative index.
3. The index system construction method according to claim 1, wherein an index identifier to be managed and index management content are acquired, an index to be managed is determined according to the index identifier to be managed, the cloud index identifier and a derived index identifier, and before the index to be managed is deleted or modified, the index system construction method further comprises:
limiting the existing index by a time period or an application range to generate a derivative index, wherein the existing index comprises at least one of a preset meta index and a derivative index;
at this time, the to-be-managed index further includes the derived index.
4. The index architecture construction method of claim 1, wherein modifying the index to be managed comprises any one of:
modifying the index logic of the index to be managed;
and modifying the index limiting conditions of the index to be managed.
5. The method for constructing the index system according to claim 1, wherein the index processing of at least two of the preset meta-indices to obtain at least one derived index comprises:
acquiring index logic of each preset index;
comparing the similarity of the index logic of each preset meta index,
determining each preset meta index with the similarity greater than the preset similarity as having an index association relationship;
and carrying out index processing on the preset meta-index with the index association relation to obtain at least one derivative index.
6. The index system construction method of any one of claims 1 to 5, wherein the labeling of the smart car cloud application service label for each index to be labeled in the index set to be labeled respectively comprises:
acquiring a preset application service label marking rule, wherein the preset application service label marking rule comprises at least one of a service data type, a service data source and a service application field;
and marking the intelligent vehicle cloud application service label on each index to be marked in the index set to be marked according to the preset application service label marking rule.
7. The index architecture construction method of claim 6,
if the application service label comprises an intelligent vehicle cloud intelligent network connection index, an index system of the application service comprises the number of used vehicles, the number of carrying vehicles and the number of network connection activated vehicles;
and if the application service label comprises an OTA index, the index system of the application service comprises a component name, the number of upgrading vehicles, the number of upgrading failure vehicles and the upgrading failure rate.
8. An index system construction apparatus, characterized in that the index system construction apparatus comprises:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring a plurality of preset meta indexes and cloud index identifications of the preset meta indexes, and the preset meta indexes are used for counting the absolute quantity of cloud service data of the intelligent vehicle;
the index processing module is used for performing index processing on at least two preset element indexes to obtain at least one derivative index and setting a derivative index identifier for each derivative index;
the index management module is used for acquiring an index identifier to be managed and index management content, determining an index to be managed according to the index identifier to be managed, the cloud index identifier and the derived index identifier, and deleting or modifying the index to be managed, wherein the index to be managed comprises at least one of the preset meta index and the derived index;
the index marking module is used for marking each index to be marked in an index set to be marked by an intelligent vehicle cloud application service label, wherein the index set to be marked comprises each remaining preset meta index, each remaining derivative index, each modified preset meta index and each modified derivative index;
and the index system building module is used for building an index system of the intelligent vehicle cloud application service based on the intelligent vehicle cloud application service labels of the indexes to be marked.
9. An electronic device, comprising:
one or more processors;
storage means for storing one or more programs which, when executed by the one or more processors, cause the electronic device to implement the index architecture construction method of any one of claims 1 to 7.
10. A computer-readable storage medium having stored thereon computer-readable instructions which, when executed by a processor of a computer, cause the computer to perform the index architecture construction method of any one of claims 1 to 7.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115374187A (en) * | 2022-10-24 | 2022-11-22 | 北京国电通网络技术有限公司 | Index data acquisition method and device, electronic equipment and computer readable medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115374187A (en) * | 2022-10-24 | 2022-11-22 | 北京国电通网络技术有限公司 | Index data acquisition method and device, electronic equipment and computer readable medium |
| CN115374187B (en) * | 2022-10-24 | 2023-01-13 | 北京国电通网络技术有限公司 | Index data acquisition method and device, electronic equipment and computer readable medium |
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