CN115729947A - Method and device for managing aggregated data of vehicle and electronic equipment - Google Patents

Method and device for managing aggregated data of vehicle and electronic equipment Download PDF

Info

Publication number
CN115729947A
CN115729947A CN202211511796.8A CN202211511796A CN115729947A CN 115729947 A CN115729947 A CN 115729947A CN 202211511796 A CN202211511796 A CN 202211511796A CN 115729947 A CN115729947 A CN 115729947A
Authority
CN
China
Prior art keywords
index
vehicle data
vehicle
data aggregation
indexes
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202211511796.8A
Other languages
Chinese (zh)
Inventor
唐泽坤
王晓晨
何金金
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Chongqing Changan Automobile Co Ltd
Original Assignee
Chongqing Changan Automobile Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Chongqing Changan Automobile Co Ltd filed Critical Chongqing Changan Automobile Co Ltd
Priority to CN202211511796.8A priority Critical patent/CN115729947A/en
Publication of CN115729947A publication Critical patent/CN115729947A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Landscapes

  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The application relates to the technical field of vehicles, in particular to a method, a device and an electronic device for managing aggregated data of a vehicle, wherein the method comprises the following steps: determining a plurality of vehicle data aggregation indexes to be created, wherein the attributes of the plurality of vehicle data aggregation indexes are divided into a required filling attribute and a selected filling attribute, acquiring vehicle data aggregation indexes of the selected filling attribute which are filled in the plurality of vehicle data aggregation indexes, judging whether the vehicle data aggregation indexes of the required filling attribute are all filled, and if the vehicle data aggregation indexes are all filled, creating a data management system according to the vehicle data aggregation indexes of the required filling attribute and the vehicle data aggregation indexes of the selected filling attribute which are filled in, so as to manage the aggregation data of the vehicle. Therefore, by uniformly and clearly defining the aperture of the aggregated index of the use data acquired after the sale of the vehicle, the problem that the data are difficult to manage and analyze due to different requirements, comprehension and definitions of each business department on the data index is solved, and the retrieval and the monitoring are convenient.

Description

Method and device for managing aggregated data of vehicle and electronic equipment
Technical Field
The present disclosure relates to the field of vehicle technologies, and in particular, to a method and an apparatus for managing aggregated data of a vehicle, and an electronic device.
Background
With the development of intelligent automobiles and the gradual maturity of the car networking technology, the vehicle sensors are more and more abundant, and more vehicle data can be collected and transmitted back to automobile manufacturers. Vehicle manufacturers pay more and more attention to management and analysis of collected data, but requirements, understanding and definitions of all business departments for data indexes are different, so that the data management departments need to unify the index calibers to better serve the requirements of all business departments for the data.
In the related art, the data management method mainly aims at the preparation work of automobile manufacturers before selling, and can effectively understand and control the updating dynamics of the vehicle type configuration data.
However, this method cannot manage, classify, define, retrieve, and monitor the data after sale of the vehicle, and improvement is needed.
Disclosure of Invention
The application provides a method and a device for managing aggregated data of a vehicle and electronic equipment, which are used for solving the problems that the requirements, comprehension and definition of each business department on data indexes are different, and the data is difficult to manage and analyze, and are convenient to retrieve and monitor.
An embodiment of a first aspect of the present application provides an aggregated data management method for a vehicle, including the following steps:
determining a plurality of vehicle data aggregation indexes to be created, wherein the attributes of the plurality of vehicle data aggregation indexes are divided into a filling-necessary attribute and a filling-selecting attribute;
acquiring vehicle data aggregation indexes of filling-selected attributes in the plurality of vehicle data aggregation indexes, and judging whether filling of vehicle data aggregation indexes of filling-required attributes in the plurality of vehicle data aggregation indexes is completed; and
if the vehicle data aggregation indexes of the mandatory filling attributes in the plurality of vehicle data aggregation indexes are filled completely, a data management system is established according to the vehicle data aggregation indexes of the mandatory filling attributes and the filled vehicle data aggregation indexes of the optional filling attributes, so that the aggregated data of the vehicle is managed through the data management system.
According to the technical means, the embodiment of the application provides a data management system for uniformly and clearly defining the aperture of the aggregated index of the use data acquired after the vehicle is sold, and the retrieval and the monitoring are convenient.
Further, the vehicle data aggregation index of the mandatory filling attribute comprises an index name, an index state, an index type, an atomic index, an index modifier, an index definition, a calculation logic, a primary theme domain, an index unit, an index precision, an index classification, a creation demander, a creation requirement department and a creation time;
the vehicle data aggregation indexes with the selected filling attributes comprise secondary theme domains, signals/events, associated data tables, associated fields, index updating conditions, data source types and index remarks.
According to the technical means, the indexes are clearer due to the detailed recording and definition, the follow-up development of data development engineers is facilitated, and the communication cost is reduced.
Further, the above method for managing aggregated data of a vehicle further includes:
receiving an update data instruction sent by an update demander;
analyzing the updated data command to obtain updated contents of the plurality of vehicle data aggregation indexes;
and inputting the update demanders, the current update demand departments and the current update time while updating the plurality of vehicle data aggregation indexes according to the update contents.
According to the technical means, the operators update the existing indexes, and shield the old indexes in the original database, so that the subsequent development of data development engineers is facilitated, and the communication cost is reduced.
Further, the above method for managing aggregated data of a vehicle further includes:
receiving a data deleting instruction sent by the update demander;
analyzing the data deleting instruction, and determining a current vehicle data aggregation index to be deleted;
and deleting the current vehicle data aggregation index to be deleted from the plurality of vehicle data aggregation indexes after the current vehicle data aggregation index to be deleted passes the approval.
According to the technical means, untimely indexes are shielded, the display interface is purified, the subsequent development of data development engineers is facilitated, and the working efficiency is improved.
Further, the above method for managing aggregated data of a vehicle further comprises:
receiving a retrieval instruction sent by a query demander, wherein the retrieval instruction comprises a name of an index to be queried, an atomic index to be queried, an index modifier to be queried, a primary topic domain to be queried, the index demander to be queried and update time to be queried;
and retrieving the vehicle data aggregation indexes corresponding to the query instruction from the plurality of vehicle data aggregation indexes according to the index name to be queried, the atomic index to be queried, the index modifier to be queried, the primary theme domain to be queried, the index demander to be queried and the update time to be queried.
According to the technical means, the required indexes are inquired through shortcuts, and the working efficiency is improved
Further, the above method for managing aggregated data of a vehicle further comprises:
receiving a batch viewing instruction sent by the query demander;
and generating a display result corresponding to the batch viewing instruction based on the batch viewing instruction, and displaying the display result to the inquiry demanders.
According to the technical means, operators can see all vehicle data indexes meeting the conditions in batch, and subsequent development of data development engineers is facilitated.
Further, after the displaying the display result to the query demander, the method further includes:
receiving a single index viewing instruction or a jump index monitoring instruction of the inquiry demander;
and skipping to a single vehicle data aggregation index page according to the single index checking instruction, or skipping to an index monitoring page according to the skipping index monitoring instruction.
According to the technical means, an operator can click the index monitoring link, so that the operator can quickly jump to the index monitoring page, and the working efficiency is improved.
Further, after jumping to the index monitoring page according to the jump index monitoring instruction, the method further includes:
receiving a screening instruction of the query demander;
and screening out the developed vehicle data aggregation indexes on the index monitoring page based on the screening instruction.
According to the technical means, the user can screen according to the index name and the time, and the operation is convenient and fast.
The embodiment of the second aspect of the present application provides an aggregated data management device for a vehicle, including:
the determining module is used for determining a plurality of vehicle data aggregation indexes to be created, wherein the attributes of the plurality of vehicle data aggregation indexes are divided into a filling attribute and a selecting and filling attribute;
the acquisition module is used for acquiring the vehicle data aggregation indexes of the filling-selecting attributes which are filled in the plurality of vehicle data aggregation indexes, and judging whether the vehicle data aggregation indexes of the filling-necessary attributes in the plurality of vehicle data aggregation indexes are all filled; and
and the management module is used for creating a data management system according to the vehicle data aggregation indexes of the mandatory filling attributes and the filled vehicle data aggregation indexes of the selected filling attributes if the filling of the vehicle data aggregation indexes of the mandatory filling attributes in the plurality of vehicle data aggregation indexes is completed, so as to manage the aggregated data of the vehicle through the data management system.
An embodiment of a third aspect of the present application provides an electronic device, including: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the program to implement the method of aggregate data management for a vehicle as described in the above embodiments.
Therefore, the vehicle data aggregation indexes of the filling-optional attributes which are filled in are obtained by determining that the attributes to be created are divided into the vehicle data aggregation indexes of the filling-optional attributes and the filling-optional attributes, whether the vehicle data aggregation indexes of the filling-optional attributes are filled in completely is judged, and if the filling-optional attributes are filled in completely, a data management system is created according to the vehicle data aggregation indexes of the filling-optional attributes and the vehicle data aggregation indexes of the filling-optional attributes, so that the aggregated data of the vehicle is managed. Therefore, the problems that the requirements, comprehension and definition of each business department on data indexes are different, and data is difficult to manage and analyze are solved, and retrieval and monitoring are facilitated.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
The above and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a flowchart of an aggregated data management method for a vehicle according to an embodiment of the present application;
FIG. 2 is a flow diagram of creating a vehicle data index according to one embodiment of the present application;
FIG. 3 is a flow diagram of editing an existing vehicle data index according to one embodiment of the present application;
FIG. 4 is a flow diagram of deleting an existing vehicle data index according to an embodiment of the present application;
FIG. 5 is a flow chart of retrieving an existing vehicle data index according to one embodiment of the present application;
FIG. 6 is a flow chart of vehicle data index monitoring according to one embodiment of the present application;
FIG. 7 is a flow diagram of a method of aggregated data management for a vehicle according to one embodiment of the present application;
FIG. 8 is a block diagram illustrating an aggregated data management device for a vehicle according to an embodiment of the present disclosure;
fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the application.
Description of reference numerals: 10-aggregate data management device of vehicle, 100-determination module, 200-acquisition module, 300-management module, 901-memory, 902-processor, 903-communication interface.
Detailed Description
Reference will now be made in detail to the embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application.
The following describes an aggregate data management method and apparatus for a vehicle, and an electronic device according to an embodiment of the present application with reference to the drawings.
Before describing the aggregate data management method for a vehicle according to the embodiment of the present application, a data management method in the related art will be briefly described.
According to the configuration data management method, the configuration data management device and the vehicle management system, the configuration item nodes are created to store vehicle configuration data, the configuration item nodes are created to store the configuration item data, the updated configuration item data are sent to the vehicle under the condition that the configuration item data are updated, centralized management of the configuration item data can be achieved, the update period of vehicle configuration information is shortened, and the update efficiency is improved.
However, this method mainly aims at the preparation work before the vehicle is sold by the vehicle manufacturer, and has stronger control and understanding on the update dynamics of the vehicle type configuration data, but cannot manage, classify, define, retrieve and monitor the data after the vehicle is sold.
The method includes determining a plurality of attributes to be created to be classified into a required filling attribute and a vehicle data aggregation index of a selected filling attribute, acquiring the vehicle data aggregation index of the selected filling attribute which is filled in the vehicle data aggregation index, judging whether the vehicle data aggregation index of the required filling attribute is filled in all the vehicle data aggregation indexes, and if the vehicle data aggregation indexes are filled in all the vehicle data aggregation indexes, creating a data management system according to the vehicle data aggregation index of the required filling attribute and the vehicle data aggregation index of the selected filling attribute which is filled in all the vehicle data aggregation indexes so as to manage aggregated data of vehicles. Therefore, the problems that the requirements, comprehension and definition of each business department on data indexes are different, and data is difficult to manage and analyze are solved, and retrieval and monitoring are facilitated.
Specifically, fig. 1 is a schematic flowchart of a method for managing aggregated data of a vehicle according to an embodiment of the present disclosure.
As shown in fig. 1, the aggregated data management method of a vehicle includes the steps of:
in step S101, a plurality of vehicle data aggregation indexes to be created are determined, wherein attributes of the plurality of vehicle data aggregation indexes are divided into a required filling attribute and a selected filling attribute.
It will be appreciated that the demander, when creating the vehicle data aggregation index, needs to enter index name attributes, some of which are required to be filled and some of which are optional, the purpose of the required attributes being to ensure that the index can be created correctly.
In some embodiments, the vehicle data aggregation index of the mandatory fill attribute includes an index name, an index state, an index type, an atomic index, an index modifier, an index definition, a calculation logic, a primary topic domain, an index unit, an index precision, an index classification, a creation demander, a creation demand department, and a creation time; the vehicle data aggregation indexes with the selected filling attributes comprise secondary theme fields, signals/events, associated data tables, associated fields, index updating conditions, data source types and index remarks.
Specifically, fig. 2 is a schematic flow chart of creating a vehicle data index according to an embodiment of the present application, and details various attributes of the lower aggregate index are described in conjunction with fig. 2.
Wherein the fill attribute comprises: (1) The index name cannot be renamed with any index existing in the field, otherwise the creation fails.
(2) The index state has two options of online and to be developed at present.
(3) The index type comprises three options of an atomic index, a derivative index and a composite index, wherein the atomic index is the most basic index and can not be subdivided, and when the index type is selected as the atomic index by a data analyst, the following essential items of the atomic index disappear and do not need to be input again; the derivative indexes are obtained by adding qualifiers on the basis of the atomic indexes to form new indexes, and when a data analyst selects an index type as a derivative index, one of the subsequent atomic options needs to be selected; and the composite index is formed by fusing a plurality of indexes, and when the data analyst selects the index type as the composite index, the included basic indexes need to be manually input.
(4) The index modifiers can limit and distinguish the indexes, and can be specifically divided into modifier categories and specific modifiers. Wherein, modifier classification includes: function, model, time, screening conditions, status, and others; specific modifiers under functional classification include: remote control of parking, taking over alarm, remote vehicle moving and the like; the specific modifiers under the vehicle type classification include: the codes of all vehicle types of the Changan automobile already produced in mass production; specific modifiers under the temporal classification include: day, near 7 days, week, month; specific modifiers under the classification of the screening conditions include: real name authentication, parking out, parking in, etc.; specific modifiers under state classification include: activate, fail, wait, etc.; specific modifiers under other categories include: average mileage, exit rate, zhou Liucun rate, etc.
(5) The index definition refers to the condition that a data analyst is required to clearly describe the value and monitoring meaning of the index.
(6) The calculation logic refers to all parameters related to the index calculation and calculation formulas which need to be listed in definite detail by a data analyst.
(7) And in the primary theme domain, the person entering the primary theme domain can select any one of an intelligent cabin domain, an intelligent ecological domain, an intelligent quality domain, an intelligent vehicle cloud domain, an intelligent vehicle control domain and an intelligent driving domain.
(8) The index unit has a plurality of options, and only one of times, individuals, vehicles, kilometers and percent is needed to be selected when the index unit is recorded.
(9) The index precision refers to the calculation precision of an index unit, namely, the requirement on how many decimal places the calculation result needs to be reserved.
(10) Indexes are graded, and the indexes have three grades of 1, 2 and 3, and are generally graded by default as grade 3.
(11) The establishment demanders and the establishment demand departments can be obtained according to the account number association information of the data analysts during login and automatically filled in.
(12) And creating time, and automatically filling in the system at the creating moment.
Further, selecting the filling attribute comprises: (1) The secondary theme domain refers to a sub-domain which needs to be input by a data analyst under the theme domain, cannot be selected and needs to be input manually.
(2) The signal/event, the signal or event on which the indicator depends, i.e. what signal or event is required to trigger, needs to be manually entered by the data analyst.
(3) And the associated data table refers to a data storage table related to the vehicle data index calculation which is confirmed by the data analyst in the previous data exploration, and the specific subarea position of the data table in the data warehouse.
(4) The related fields refer to specific storage fields in the related data table, and the fields are the source of parameters required in calculation.
(5) The index updating condition is the frequency of vehicle data index updating, namely how often the vehicle data index updating needs to be calculated, and generally suggests T-1 day, namely calculating yesterday data today.
(6) And the data source type can be selected from any one of controller data, APP embedded points, vehicle embedded points and service systems by a data analyst.
(7) And index remarks refer to special comments, namely, information remarks which need special attention or need to be shared with other viewers.
In step S102, a filled vehicle data aggregation indicator of the selected filling attribute is obtained from the plurality of vehicle data aggregation indicators, and it is determined whether all the filled vehicle data aggregation indicators of the necessary filling attribute are filled.
That is to say, when the vehicle data aggregation index is created, it is checked whether all the required entries are filled correctly, and if the required entries are not filled, the required entries cannot be created. The method and the system encourage data analysts to record and define as detailed as possible, so that indexes are clearer, follow-up development of data development engineers is facilitated, and communication cost is reduced.
In step S103, if all the vehicle data aggregation indexes of the mandatory filling attributes in the plurality of vehicle data aggregation indexes are completely filled, a data management system is created according to the vehicle data aggregation indexes of the mandatory filling attributes and the vehicle data aggregation indexes of the filled optional filling attributes, so as to manage the aggregated data of the vehicles through the data management system.
The embodiment of the application supports operations such as editing, updating, deleting, retrieving, batch and/or single viewing, page jumping and screening of the aggregated data of the vehicles through the data management system.
Further, in some embodiments, the above method for managing aggregated data of a vehicle further includes: receiving an update data instruction sent by an update demander; analyzing the update data instruction to obtain the update contents of the plurality of vehicle data aggregation indexes; and updating a plurality of vehicle data aggregation indexes according to the updating content, and simultaneously inputting an updating demander, a current updating demand department and current updating time.
Specifically, as shown in fig. 3, after the vehicle data index is created, the vehicle data index may also be edited and updated, and the basic principle that the vehicle data index follows is substantially consistent with the created index, and the verification rule is also substantially consistent, the biggest difference is that the editor cannot modify the index name, and the system will automatically fill in the information of the update demander and the update demand department at the time of submission, and the update time is also automatically filled in.
It should be noted that after the operator updates the existing index, the old index in the original database is not really replaced by the updated index, but is masked and is not subsequently displayed.
Further, in some embodiments, the above method for managing aggregated data of a vehicle further includes: receiving a data deleting instruction sent by an update demander; analyzing the data deleting instruction, and determining a current vehicle data aggregation index to be deleted; and after the vehicle data aggregation index to be deleted passes the approval, deleting the vehicle data aggregation index to be deleted from the plurality of vehicle data aggregation indexes.
It can be understood that when a certain vehicle data aggregation index is already out of time and needs to be offline, after a deletion application is made by a person creating a demander or an updating demander, the person concerned in the white list confirms that the vehicle data aggregation index can be offline after approval.
Specifically, as shown in fig. 4, it is first required to determine whether the operator has the right to delete, and only the creator, the requirement updater, and the domain responsible person in the white list are required to have the right; if there is no delete permission, then the delete button will not be seen; if the vehicle data index has the deletion authority, after deletion, the deletion process enters the next stage, and related domain responsible persons in the white list check the vehicle data index, namely whether the vehicle data index is allowed to be offline or not; the party may take the index off-line after approval by only the responsible person.
It should be noted that, in the embodiment of the present application, a double audit system is adopted, so as to avoid misoperation of an operator, and in addition, the deletion operation is not really deleting the index in the database, but only offline shielding, so that the data asset is precipitated, and even if the index is deleted by mistake, the technical recovery can be performed.
Further, in some embodiments, the above method for managing aggregated data of a vehicle further includes: receiving a retrieval instruction sent by a query demander, wherein the retrieval instruction comprises a name of an index to be queried, an atomic index to be queried, an index modifier to be queried, a primary topic domain to be queried, the index demander to be queried and update time to be queried; and retrieving the vehicle data aggregation indexes corresponding to the query instruction from the plurality of vehicle data aggregation indexes according to the name of the index to be queried, the atomic index to be queried, the index modifier to be queried, the primary theme domain to be queried, the index demander to be queried and the update time to be queried.
Specifically, as shown in fig. 5, the operator can quickly locate the vehicle data aggregation index by the name of the index to be queried, the atomic index to be queried, the modifier of the index to be queried, the primary topic domain to be queried, the requester of the index to be queried, and the update time to be queried. The index with the similar name can be found by inputting characters or characters by an operator, wherein the name of the index to be inquired supports fuzzy search; the atomic index to be inquired can be selected by an operator at will, and all vehicle data indexes developed based on the atomic index to be inquired can be found; the vehicle data indexes related to the modifiers to be inquired can be found by selecting one or more modifiers by an operator; the topic domain to be inquired can locate the relevant indexes only through single selection; people are required for index query, namely all indexes provided by the people are found out; and (4) searching for the updating time, namely finding out all created or updated indexes in a certain time interval.
It should be noted that all the above retrieval attributes are selectable, and these indexes can also be retrieved compositely to find out the indexes that satisfy all the screening conditions at the same time, and if all the indexes are not selected, the indexes are regarded as default values to find out all the indexes.
Further, in some embodiments, the above method for managing aggregated data of a vehicle further includes: receiving a batch viewing instruction sent by a query demander; and generating a display result corresponding to the batch viewing instruction based on the batch viewing instruction, and displaying the display result to the inquiry demanders.
That is, after the operator queries, all vehicle data indexes meeting the conditions can be seen in batch, wherein the displayed query results include: index name, index modifier, atomic index, index definition, theme zone, index demander and update time of the existing index.
Further, in some embodiments, the above method for managing aggregated data of a vehicle further includes: receiving a single index checking instruction or a jump index monitoring instruction of a query demander; and skipping to a single vehicle data aggregation index page according to the single index checking instruction, or skipping to an index monitoring page according to the skipping index monitoring instruction.
In addition, if the index is defined and developed, the operator can click the index monitoring link, jump to the index monitoring page, and jump together with the name of the index during jumping, so that the page can display monitoring information at the same time.
It should be noted that, by clicking the index details of the batch detail pages, the vehicle data aggregation index detail pages can be skipped to, only information can be viewed and editing is not possible on the page, and on the page, the index names, the index states, the index types, the atomic indexes, the index modifiers, the index definitions, the calculation logics, the primary theme domain, the secondary theme domain, the index units, the index precision, signals/events, the index classification, the associated data table, the associated fields, the index update condition, the data source types, the index remarks, the creation demanders, the creation demand departments, the creation time, the update demanders, the update demand departments, the update time, the index loggers, the loggers and the like can be viewed.
Further, in some embodiments, after jumping to the index monitoring page according to the jump index monitoring instruction, the method further includes: receiving a screening instruction of a query demander; and screening out the developed vehicle data aggregation indexes on an index monitoring page based on the screening instruction.
That is to say, on the index monitoring page, the developed vehicle data aggregation index can be screened, the user can screen according to the index name and time, and after the screening, the distribution condition, the trend condition of the last year, the performance of different vehicle types and the trend condition of the last year of different vehicle types of the vehicle data index can be checked.
Specifically, as shown in fig. 6, the operator may filter the vehicle data index through the index name and the time selection, where both the index name and the time selection are the required attributes, the index must be the vehicle data index that has been created by the data analyst before, and the time has a default value, that is, the last month.
Furthermore, after the query, the performance conditions of the vehicle data indexes in different provinces in the country, the index performance of the past 12 months in the last year, the index performance on different vehicle types, the index performance of the last year of different vehicle types and the performance of the different provinces in the country can be seen, namely, the performance of the province in a month is marked on each province region of the whole Chinese map, and meanwhile, the region of each province is marked with different colors according to the degree of the index.
Wherein, the index of the past 12 months in the last year identifies the comprehensive performance of the index in the past 12 months including the selected month, and different months, thereby clearly knowing the trend of the index in the past 12 months; the performance of the indexes on different vehicle types is generally displayed in a histogram on the performance distribution of the indexes on each relevant mass production vehicle type in Changan, so that a data analyst can quickly observe the quality comparison of each vehicle type on the vehicle data indexes; the performance of the indexes of different vehicle types in the last year is integrated, two dimensions of time and vehicle types are combined, and the performance trend of the vehicle data indexes in the last 12 months of a selected month is displayed together, so that a data analyst can click 5 vehicle systems at most simultaneously for comparison display, and the performance difference of different vehicle types in different months can be observed conveniently.
In order to facilitate those skilled in the art to further understand the aggregate data management method for a vehicle according to the embodiments of the present application, the detailed description is provided in conjunction with fig. 7.
As shown in fig. 7, fig. 7 is a flowchart of an aggregated data management method of a vehicle according to an embodiment of the present application, the aggregated data management method of a vehicle including the steps of:
and S701, starting.
S702, defining an index.
And S703, index details.
That is, after the data analyst enters the defined vehicle data index, the vehicle data index details may be consulted.
S704, (determine whether the vehicle data index) has been developed.
If the vehicle data index has been developed, S705 is performed, and index monitoring is performed. That is, research and development co-workers can enter the index monitoring page through link jump to check the performance of the index.
If the vehicle data index is not developed, S710 is executed and the process ends.
S706, (determine vehicle data index) whether editing is required.
If the data analyst finds that the definition content of the index needs to be updated, S707 is executed to obtain new details of the index. Namely, the index content is changed by entering an editing mode through the link.
If the data analyst finds that the definition content of the index needs to be updated, S710 is executed, and the process is ended.
S708, (determine whether the vehicle data index) needs to be deleted.
If the data analyst determines that the index is not timely, S709 is executed, and the index is offline. I.e. the index is deleted.
If the data analyst determines that the index does not need to be deleted, S710 is executed, and the process ends.
According to the method for managing the aggregated data of the vehicle, the vehicle data aggregation indexes of the filling-required attributes and the filling-selected attributes are determined to be divided into the vehicle data aggregation indexes of the filling-required attributes and the filling-selected attributes, the vehicle data aggregation indexes of the filling-required attributes are obtained, whether the filling-required attributes are filled in the vehicle data aggregation indexes are all judged, if the filling-required attributes are all filled in the vehicle data aggregation indexes, a data management system is created according to the vehicle data aggregation indexes of the filling-required attributes and the vehicle data aggregation indexes of the filling-required attributes, and the aggregated data of the vehicle is managed. Therefore, the problems that the requirements, comprehension and definition of each business department on data indexes are different, and data is difficult to manage and analyze are solved, and retrieval and monitoring are facilitated.
Next, an aggregate data management apparatus for a vehicle according to an embodiment of the present application will be described with reference to the drawings.
Fig. 8 is a block diagram illustrating an aggregated data management device of a vehicle according to an embodiment of the present application.
As shown in fig. 8, the aggregated data management device 10 of the vehicle includes: a determination module 100, an acquisition module 200 and a management module 300.
The determining module 100 is configured to determine a plurality of vehicle data aggregation indicators to be created, where attributes of the plurality of vehicle data aggregation indicators are divided into a filling-necessary attribute and a filling-selected attribute;
the acquiring module 200 is configured to acquire filled vehicle data aggregation indexes of the selected filling attributes in the plurality of vehicle data aggregation indexes, and determine whether all the filled vehicle data aggregation indexes of the necessary filling attributes in the plurality of vehicle data aggregation indexes are completely filled; and
the management module 300 is configured to, if all the vehicle data aggregation indexes of the mandatory filling attributes in the plurality of vehicle data aggregation indexes are completely filled, create a data management system according to the vehicle data aggregation indexes of the mandatory filling attributes and the filled vehicle data aggregation indexes of the optional filling attributes, so as to manage the aggregated data of the vehicle through the data management system.
According to the vehicle aggregated data management device provided by the embodiment of the application, the vehicle data aggregated indexes of which the filled selected attributes are completed are obtained by determining the vehicle data aggregated indexes of which the attributes to be created are divided into the required filling attributes and the selected filling attributes, whether the vehicle data aggregated indexes of which the required filling attributes are completely filled is judged, and if the required filling attributes are completely filled, a data management system is created according to the vehicle data aggregated indexes of which the required filling attributes and the vehicle data aggregated indexes of which the selected filling attributes are completely filled so as to manage the vehicle aggregated data. Therefore, the problem that the data are difficult to manage and analyze due to different requirements, understanding and definitions of each business department on data indexes is solved, and the retrieval and the monitoring are facilitated.
Fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present application. The electronic device may include:
memory 901, processor 902, and computer programs stored on memory 901 and operable on processor 902.
The processor 902, when executing the program, implements the aggregate data management method for vehicles provided in the above-described embodiments.
Further, the electronic device further includes:
a communication interface 903 for communication between the memory 901 and the processor 902.
A memory 901 for storing computer programs executable on the processor 902.
The Memory 901 may include a high-speed RAM (Random Access Memory) Memory, and may also include a nonvolatile Memory, such as at least one disk Memory.
If the memory 901, the processor 902, and the communication interface 903 are implemented independently, the communication interface 903, the memory 901, and the processor 902 may be connected to each other through a bus and perform communication with each other. The bus may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 9, but this does not indicate only one bus or one type of bus.
Optionally, in a specific implementation, if the memory 901, the processor 902, and the communication interface 903 are integrated on a chip, the memory 901, the processor 902, and the communication interface 903 may complete mutual communication through an internal interface.
The processor 902 may be a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement embodiments of the present Application.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or N embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "N" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more N executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of implementing the embodiments of the present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable gate arrays, field programmable gate arrays, and the like.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.

Claims (10)

1. A method for aggregate data management of a vehicle, comprising the steps of:
determining a plurality of vehicle data aggregation indexes to be created, wherein the attributes of the plurality of vehicle data aggregation indexes are divided into a filling-necessary attribute and a filling-selecting attribute;
acquiring vehicle data aggregation indexes of filling-selected attributes in the plurality of vehicle data aggregation indexes, and judging whether filling of vehicle data aggregation indexes of filling-required attributes in the plurality of vehicle data aggregation indexes is completed; and
if the vehicle data aggregation indexes of the mandatory filling attributes in the plurality of vehicle data aggregation indexes are filled completely, a data management system is established according to the vehicle data aggregation indexes of the mandatory filling attributes and the filled vehicle data aggregation indexes of the optional filling attributes, so that the aggregated data of the vehicle is managed through the data management system.
2. The method of claim 1,
the vehicle data aggregation indexes with the mandatory filling attributes comprise index names, index states, index types, atomic indexes, index modifiers, index definitions, calculation logics, primary theme domains, index units, index precision, index grading, creation demanders, creation demand departments and creation time;
the vehicle data aggregation indexes with the selected filling attributes comprise secondary theme domains, signals/events, associated data tables, associated fields, index updating conditions, data source types and index remarks.
3. The method of claim 2, further comprising:
receiving an update data instruction sent by an update demander;
analyzing the updated data instruction to obtain updated contents of the plurality of vehicle data aggregation indexes;
and inputting the update demanders, the current update demand departments and the current update time while updating the plurality of vehicle data aggregation indexes according to the update contents.
4. The method of claim 3, further comprising:
receiving a data deleting instruction sent by the update demander;
analyzing the data deleting instruction, and determining a current vehicle data aggregation index to be deleted;
and deleting the current vehicle data aggregation index to be deleted from the plurality of vehicle data aggregation indexes after the current vehicle data aggregation index to be deleted passes the approval.
5. The method of claim 4, further comprising:
receiving a retrieval instruction sent by a query demander, wherein the retrieval instruction comprises a name of an index to be queried, an atomic index to be queried, an index modifier to be queried, a primary topic domain to be queried, the index demander to be queried and update time to be queried;
and retrieving the vehicle data aggregation indexes corresponding to the query instruction from the plurality of vehicle data aggregation indexes according to the index name to be queried, the atomic index to be queried, the index modifier to be queried, the primary theme domain to be queried, the index demander to be queried and the update time to be queried.
6. The method of claim 5, further comprising:
receiving a batch viewing instruction sent by the query demander;
and generating a display result corresponding to the batch viewing instruction based on the batch viewing instruction, and displaying the display result to the inquiry demanders.
7. The method of claim 6, further comprising, after presenting the presentation result to the query demander:
receiving a single index viewing instruction or a jump index monitoring instruction of the inquiry demander;
and skipping to enter a single vehicle data aggregation index page according to the single index checking instruction, or skipping to an index monitoring page according to the skipping index monitoring instruction.
8. The method of claim 7, after jumping to the metric monitoring page according to the jump metric monitoring instruction, further comprising:
receiving a screening instruction of the query demander;
and screening out the developed vehicle data aggregation indexes on the index monitoring page based on the screening instruction.
9. An aggregated data management apparatus of a vehicle, characterized by comprising:
the determining module is used for determining a plurality of vehicle data aggregation indexes to be created, wherein the attributes of the plurality of vehicle data aggregation indexes are divided into a filling attribute and a selecting and filling attribute;
the acquisition module is used for acquiring the vehicle data aggregation indexes of the filling-selecting attributes which are filled in the plurality of vehicle data aggregation indexes, and judging whether the vehicle data aggregation indexes of the filling-necessary attributes in the plurality of vehicle data aggregation indexes are all filled; and
and the management module is used for creating a data management system according to the vehicle data aggregation indexes of the mandatory filling attributes and the filled vehicle data aggregation indexes of the selected filling attributes if the filling of the vehicle data aggregation indexes of the mandatory filling attributes in the plurality of vehicle data aggregation indexes is completed, so as to manage the aggregated data of the vehicle through the data management system.
10. An electronic device, comprising: memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the program to implement the method of aggregate data management for a vehicle of any of claims 1-8.
CN202211511796.8A 2022-11-29 2022-11-29 Method and device for managing aggregated data of vehicle and electronic equipment Pending CN115729947A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211511796.8A CN115729947A (en) 2022-11-29 2022-11-29 Method and device for managing aggregated data of vehicle and electronic equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211511796.8A CN115729947A (en) 2022-11-29 2022-11-29 Method and device for managing aggregated data of vehicle and electronic equipment

Publications (1)

Publication Number Publication Date
CN115729947A true CN115729947A (en) 2023-03-03

Family

ID=85299033

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211511796.8A Pending CN115729947A (en) 2022-11-29 2022-11-29 Method and device for managing aggregated data of vehicle and electronic equipment

Country Status (1)

Country Link
CN (1) CN115729947A (en)

Similar Documents

Publication Publication Date Title
JP3824153B2 (en) Electronic parts list system
US8239757B2 (en) System and method for creating and modifying test data files
US8566903B2 (en) Enterprise evidence repository providing access control to collected artifacts
US9384177B2 (en) File history recording system, file history management system and file history recording method
US10289286B2 (en) Thing modeler for internet of things
US20140379764A1 (en) Enterprise evidence repository
US20100017256A1 (en) Project management method and project management system
JP2011503681A (en) Method and system for analysis of systems for matching data records
CN107657100B (en) Generation method and device of rail transit train product
CA2673422C (en) Software for facet classification and information management
CN104937557A (en) Methods and systems for utilizing repair orders in determining diagnostic repairs
KR101125417B1 (en) Method and system for assessing data quality
US11851034B2 (en) Predicting vehicle repair operations
CN111414410A (en) Data processing method, device, equipment and storage medium
US20120291018A1 (en) Method and apparatus for managing evaluation of computer program code
US8145647B2 (en) System, method and computer program product for electronically responding to requests for product related data
CN112488730A (en) Product recall task processing method, device and equipment
CN112183044A (en) Analysis report generation method, device, platform and readable medium
US20040024479A1 (en) Work assistance apparatus and memory medium for use therein
CN115729947A (en) Method and device for managing aggregated data of vehicle and electronic equipment
US20100306199A1 (en) User-defined hierarchical categorization system and method for generating operational metrics
CN114124977A (en) Cross-tenant data sharing method and device and electronic equipment
JP4810113B2 (en) Database tuning apparatus, database tuning method, and program
JP2023034888A (en) System and method for displaying causal loop diagram to user
CN113469584A (en) Risk management method and device for business service operation

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination