CN105843936A - Service data report form method and system - Google Patents
Service data report form method and system Download PDFInfo
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- CN105843936A CN105843936A CN201610201037.XA CN201610201037A CN105843936A CN 105843936 A CN105843936 A CN 105843936A CN 201610201037 A CN201610201037 A CN 201610201037A CN 105843936 A CN105843936 A CN 105843936A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/283—Multi-dimensional databases or data warehouses, e.g. MOLAP or ROLAP
Abstract
The invention discloses a service data report form method and system. The method comprises following steps of generating and storing original data demanded for generating service report forms; receiving the original data; carrying out dimension reduction processing to the original data; generating a multi-dimensional data set according to the data after the dimension reduction processing; and generating the report forms according to the multi-dimensional data set. According to the method and the system, through utilization of the technical scheme that the original data is received, the dimension reduction processing is carried out, the standard format data is sorted out from the massive disordered original data and is written in the multi-dimensional data set, and the report forms are generated according to the demands of different angles, storage, sorting and displaying of massive data can be borne, and the normal working can be realized under the big data environment of a service data center.
Description
Technical field
The present invention relates to big data processing field, especially, relate to a kind of business datum report method and be
System.
Background technology
Data center is the facility of a whole set of complexity.It not only includes that computer system and other are joined therewith
The equipment (such as communicating and storage system) of set, also comprises the data communication connection of redundancy, environmental Kuznets Curves sets
Standby, monitoring device and various safety device.In terms of application, including operation system, based on data
The analysis system in warehouse；In terms of data plane, including manipulation type data and analytic type data and data with
Integrated/integration the flow process of data；In terms of infrastructure aspect, including server, network, storage and entirety
IT operating maintenance service.
Reporting system is to make for statistical report form and enterprise-level statement analysis that form and data are made a report on is soft
Part.Form is basic measures and the approach of business administration, is the basic service requirement of enterprise, is also to implement
The basis of BI strategy.Form can help accessed enterprise, format data, and data message with reliably
User is presented to the mode of safety.But, the treatable data volume of reporting system is far smaller than data
Data volume to be processed needed for center, enterprise operation system does not exist business datum center can complete
Reporting system.
For prior art does not exist business datum center can the problem of complete reporting system, mesh
Before still there is no effective solution.
Summary of the invention
In view of this, it is an object of the invention to propose a kind of business datum report method and system, it is possible to
To data center needing the mass data processed carry out form, audit for user.
Based on above-mentioned purpose, the technical scheme that the present invention provides is as follows:
According to an aspect of the invention, it is provided a kind of business datum report method, including:
Generate and store the initial data generated needed for bordereau；
Receive initial data, and initial data is carried out dimension-reduction treatment；
According to the data genaration cube after dimension-reduction treatment；
Form is generated according to cube.
Wherein, while initial data is carried out dimension-reduction treatment, also carry out following process, including:
Collect initial data, and extract valid data and variable；
Identify the value in data, the value that fills a vacancy, reduce data noise, the inconsistency of elimination data；
By data and variable standardization, discretization.
Further, generate and store the step of initial data and include at least one mode following:
By the data produced at line service, and it is stored in Service Database；
Asynchronous generation message, and be stored in asynchronous message queue；
Interface is used to obtain the high real-time data that extraneous platform generates；
The event data that record operation generates, and be stored in journal file.
Further, by the data produced at line service, and it is stored in Service Database and includes: to business
Database carries out master-slave back-up, and using ETL instrument collection from storehouse and receiving number at Service Database
According to, wherein, the master library of Service Database with from storehouse, there is data isolation；
The event data that record operation generates, and be stored in journal file and include: create timed task,
And gather from journal file according to timed task and receive data, wherein, in timed task, record has finger
Fixed data acquisition time.
It addition, after initial data is carried out dimension-reduction treatment, the also data after storage dimension-reduction treatment；
According to the data genaration cube after dimension-reduction treatment it is: obtain the number after the dimension-reduction treatment of storage
According to and use Mathematical Modeling based on on-line analysis processing data to be carried out clustering processing, according to reality
Business demand generates cube.
Further, cube includes monitoring business data, live broadcast service data and demand (telecommunication) service data.
Further, generate form according to cube to include:
Obtain cube, and store frequently-used data and the data inquired about；
Live broadcast service form, demand (telecommunication) service form and monitoring is formed with the data inquired about according to frequently-used data
Bordereau；
Use and graphically show bordereau, demand (telecommunication) service form and monitoring business form respectively.
According to another aspect of the present invention, it is provided that a kind of business datum reporting system, including:
Data source modules, data source modules is the starting point of business datum reporting system, and data source modules stores
For generating the initial data needed for bordereau；
Data acquisition module, data acquisition module is connected to data source modules, and data acquisition module includes number
According to yojan unit, Data Reduction unit receives data from data source modules and carries out dimension-reduction treatment；
Data analysis module, data analysis module is connected to data acquisition module, and data analysis module obtains
Data after data acquisition module dimension-reduction treatment also generate cube；
Reports module, Reports module is connected to data analysis module, and Reports module obtains data analysis module
Generate cube and form form.
Wherein, data acquisition module also includes that Data Integration unit, data cleansing unit and data conversion are single
Unit, wherein:
Data Integration unit is for collecting initial data from data source modules, and extracts the data of necessity
And variable；
Data cleansing unit is connected to Data Integration unit, for obtaining the data that Data Integration unit extracts
And variable, and identify the value in data, the value that fills a vacancy, minimizing data noise, eliminate differing of data
Cause property；
Data conversion unit is connected to data cleansing unit, for obtaining the data of data cleansing cell processing
With variable, and by data and variable standardization, discretization.
Further, data source modules includes at least one of:
Service Database, Service Database is stored in the data that line service produces；
Message elements, message elements uses asynchronous message queue to send data；
Interface unit, interface unit is used for transmitting high real-time data；
Journal file, journal file is used for recording Action Events.
Further, data acquisition module includes from Service Database reception data: data acquisition module is to business
Database carries out master-slave back-up, and using ETL instrument collection from storehouse and receiving number at Service Database
According to, wherein, the master library of Service Database with from storehouse, there is data isolation；
Data acquisition module receives data from journal file and includes: data acquisition module creates timed task,
And gather from journal file according to timed task and receive data, wherein, in timed task, record has finger
Fixed data acquisition time.
It addition, data acquisition module also includes data warehouse, initial data is dropped by data acquisition module
After dimension processes, the also data after dimension-reduction treatment store data warehouse；
Data analysis module obtain data warehouse storage dimension-reduction treatment after data and generate cube
Data after obtaining data acquisition module dimension-reduction treatment for: data analysis module also use based on on-line analysis
The Mathematical Modeling for the treatment of technology carries out clustering processing to data, generates multidimensional data according to practical business demand
Collection.
Further, cube includes monitoring business data, live broadcast service data and demand (telecommunication) service data.
Further, Reports module includes:
Buffer unit, buffer unit storage frequently-used data and the data inquired about；
Form unit, form unit is used for forming live broadcast service form, demand (telecommunication) service form and monitoring business
Form；
Page presentation unit, page presentation unit uses graphical representation bordereau, demand (telecommunication) service respectively
Form and monitoring business form.
From the above it can be seen that the technical scheme that the embodiment of the present invention provides is by using reception original
Data, carry out dimension-reduction treatment, and the formatted data sorting out standard from the most confusing initial data is write
Enter cube, generate form according to the requirement of different angles, it is possible to the storage of carrying mass data,
Arrange and present, can normally work under the big data environment at business datum center.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to reality
Execute the required accompanying drawing used in example to be briefly described, it should be apparent that, the accompanying drawing in describing below is only
It is only some embodiments of the present invention, for those of ordinary skill in the art, is not paying creativeness
On the premise of work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the flow chart of the business datum report method of the embodiment of the present invention；
Fig. 2 is the structure chart of the business datum reporting system of the embodiment of the present invention；
Fig. 3 is the detailed structure view of the business datum reporting system of the embodiment of the present invention.
Detailed description of the invention
For making the object, technical solutions and advantages of the present invention clearer, below in conjunction with the present invention
Accompanying drawing in embodiment, carries out clear, complete, detailed further to the technical scheme in the embodiment of the present invention
Carefully describe, it is clear that described embodiment is only a part of embodiment of the present invention rather than all
Embodiment.Based on the embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained
Embodiment, broadly falls into the scope of protection of the invention.
According to one embodiment of present invention, it is provided that a kind of business datum report method.
As it is shown in figure 1, the business datum report method provided according to embodiments of the present invention includes:
Step S101, generates and stores the initial data generated needed for bordereau；
Step S102, receives initial data, and initial data is carried out dimension-reduction treatment；
Step S103, according to the data genaration cube after dimension-reduction treatment；
Step S104, generates form according to cube.
Wherein, before initial data is carried out dimension-reduction treatment, also can carry out following process, including:
Collect initial data, and extract valid data and variable；
Identify the value in data, the value that fills a vacancy, reduce data noise, the inconsistency of elimination data；
By data and variable standardization, discretization.
Further, generate and store the step of initial data and include at least one mode following:
By the data produced at line service, and it is stored in Service Database；
Asynchronous generation message, and be stored in asynchronous message queue；
Interface is used to obtain the high real-time data that extraneous platform generates；
The event data that record operation generates, and be stored in journal file.
Further, by the data produced at line service, and it is stored in Service Database and includes: to business
Database carries out master-slave back-up, and using ETL instrument collection from storehouse and receiving number at Service Database
According to, wherein, the master library of Service Database with from storehouse, there is data isolation；
The event data that record operation generates, and be stored in journal file and include: create timed task,
And gather from journal file according to timed task and receive data, wherein, in timed task, record has finger
Fixed data acquisition time.
It addition, after initial data is carried out dimension-reduction treatment, the also data after storage dimension-reduction treatment；
According to the data genaration cube after dimension-reduction treatment it is: obtain the number after the dimension-reduction treatment of storage
According to and use Mathematical Modeling based on on-line analysis processing data to be carried out clustering processing, according to reality
Business demand generates cube.
Further, cube includes monitoring business data, live broadcast service data and demand (telecommunication) service data.
Further, generate form according to cube to include:
Obtain cube, and store frequently-used data and the data inquired about；
Live broadcast service form, demand (telecommunication) service form and monitoring is formed with the data inquired about according to frequently-used data
Bordereau；
Use and graphically show bordereau, demand (telecommunication) service form and monitoring business form respectively.
According to another aspect of the present invention, it is provided that a kind of business datum reporting system.
As in figure 2 it is shown, the business datum reporting system provided according to embodiments of the present invention includes:
Data source modules 21, for the starting point of business datum reporting system, data source modules 21 storage is used for
Generate the initial data needed for bordereau；
Data acquisition module 22, is connected to data source modules 21, and data acquisition module 22 includes that data are about
Simple unit, Data Reduction unit receives data from data source modules 21 and carries out dimension-reduction treatment；
Data analysis module 23, is connected to data acquisition module 22, and data analysis module 23 obtains data
Data after acquisition module 22 dimension-reduction treatment also generate cube；
Reports module 24, is connected to data analysis module 23, and Reports module 24 obtains data analysis module
23 cubes generated also form form.
Wherein, data acquisition module 22 also includes Data Integration unit, data cleansing unit and data conversion
Unit, wherein:
Data Integration unit is for collecting initial data from data source modules 21, and extracts the number of necessity
According to and variable；
Data cleansing unit is connected to Data Integration unit, for obtaining the data that Data Integration unit extracts
And variable, and identify the value in data, the value that fills a vacancy, minimizing data noise, eliminate differing of data
Cause property；
Data conversion unit is connected to data cleansing unit, for obtaining the data of data cleansing cell processing
With variable, and by data and variable standardization, discretization.
Further, data source modules 21 includes at least one of:
Service Database, Service Database is stored in the data that line service produces；
Message elements, message elements uses asynchronous message queue to send data；
Interface unit, interface unit is used for transmitting high real-time data；
Journal file, journal file is used for recording Action Events.
Further, data acquisition module 22 includes from Service Database reception data: data acquisition module 22
Service Database is carried out master-slave back-up, and gathers also at the ETL instrument that uses from storehouse of Service Database
Receive data, wherein, the master library of Service Database with from storehouse, there is data isolation；
Data acquisition module 22 receives data from journal file and includes: data acquisition module 22 creates timing
Task, and gather from journal file according to timed task and receive data, wherein, timed task is remembered
Record has the data acquisition time specified.
It addition, data acquisition module 22 also includes data warehouse, data acquisition module 22 is to initial data
After carrying out dimension-reduction treatment, the also data after dimension-reduction treatment store data warehouse；
Data analysis module 23 obtain the dimension-reduction treatment of data warehouse storage after data and generate multidimensional data
Collection is: data analysis module 23 obtain data acquisition module 22 dimension-reduction treatment after data and use based on
The Mathematical Modeling of on-line analysis processing carries out clustering processing to data, generates according to practical business demand
Cube.
Further, cube includes monitoring business data, live broadcast service data and demand (telecommunication) service data.
Further, Reports module 24 includes:
Buffer unit, buffer unit storage frequently-used data and the data inquired about；
Form unit, form unit is used for forming live broadcast service form, demand (telecommunication) service form and monitoring business
Form；
Page presentation unit, page presentation unit uses graphical representation bordereau, demand (telecommunication) service respectively
Form and monitoring business form.
Technical scheme is expanded on further below according to specific embodiment.
Fig. 3 is illustrated that the detailed structure view of business datum reporting system.
Data source modules includes that Service Database, message elements, interface unit, journal file etc. are for giving birth to
The unit becoming initial data can serve as data source modules.
Data acquisition module, gathers journal file, ETL instrument (Extract-by timed task
Transform-Load, in translate data warehouse technology) capturing service database.
The dimension-reduction treatment of the Data Reduction unit of data acquisition module 22 is a kind of method of message sink coding, energy
Enough reduce the quality of data, reduce transmission cost, and data warehouse can be dropped by temporal data yojan unit
The data that dimension processed carry out the imbalance of coordinating transmissions data speed and dimension-reduction treatment data speed.Meanwhile,
The Data Integration unit of data acquisition module, data cleansing unit and data conversion unit are Data Reduction lists
Unit front end units, for from initial data extract available information and make it standardize, standard, make
It can be processed by Data Reduction unit.
Data Reduction unit carry out dimension-reduction treatment for by data from its high-dimensional condition conversion to low dimensional shape
State.In original higher dimensional space, data may include redundancy and noise information, should in reality
In such as identifying, cause error, reduce accuracy rate；And by dimensionality reduction, redundancy
Can reduce, the error caused reduces the most accordingly, improves the precision of data.Meanwhile, Data Dimensionality Reduction can contract
Short subsequent transmission and the time calculating trumpet, on the other hand, Data Reduction unit also can pass through dimension-reduction algorithm
Find the essential structure feature within data.
In one embodiment, it is possible to use (Principal Component Analysis Algorithm, full name is Principal to PCA
Component Analysis) carry out Data Dimensionality Reduction.The method of PCA is that all of data point is mapped to
Together, then almost all of information as point with point between distance relation all lost, and
If variance is the biggest after Ying Sheing, then data point then can spread out, and retains more with this
Information.May certify that, PCA is to lose a kind of linear dimensionality reduction mode that primary data information (pdi) is minimum.Actual
On be just closest to initial data, but be not intended to heuristic data immanent structure.
What PCA pursued is the internal information that can maximize after dimensionality reduction and keep data, and by weighing
The size of the data variance on projecting direction weighs the importance of the direction.But so after projection
To the differentiation effect of data little, data point may be made on the contrary to rub and miscellaneous to cannot be distinguished by together.This is also
Being one problem of maximum of PCA existence, this causes using PCA classifying quality under many circumstances also
Bad.
In another embodiment, it is possible to use (Local Liner Prediction, full name is Locally to LLE
Linear embedding) carry out Data Dimensionality Reduction.LLE algorithm is the dimension reduction method for nonlinear data,
Low-dimensional data after process all can keep original topological relation, is widely used in the classification of view data
With in the fields such as cluster, Text region, the visualization of multidimensional data and bioinformatics.LLE calculates
Method can be attributed to three steps: (1) finds k Neighbor Points of each sample point；(2) by each sample point
Neighbor Points calculates the partial reconstruction weight matrix of this sample point；(3) weighed by the partial reconstruction of this sample point
Value matrix and its Neighbor Points calculate the output valve of this sample point.
The Service Database of data source is online database, and the meaning carrying out master-slave back-up is data acquisition
Module does not interferes with the normal operation of Service Database itself to the access of Service Database.Master-slave back-up phase
Mutually in the case of isolation, no matter how data acquisition module 22 accesses from storehouse, all without the money taking master library
Source or affect master library provide service, on the other hand, also will not be affected by the adverse events of master library from storehouse
And continue to possess effective online data.
Data analysis module obtains the data genaration cube of data acquisition module.Cube can
To be conducted interviews by multiple different dimensions, each dimension can represent a query vector or business
Demand, in different dimensions, multi-dimensional database will reveal whether the projection of data based on this dimension, this throwing
The content part of the i.e. form of shadow.As, there is the business demand of the aspects such as production, operation, resource, user
Time, can retrieve in multi-dimensional database as query vector, multi-dimensional database can return number
According to, and formed the form for different business demand by form unit, such as operation data form, produced
Journey data sheet, resource utilization form, user behavior data form, media information data sheet, property
Energy form etc..The uploading of operation data report form statistics different user and service line, transcoded data amount, each ring
Joint success rate, mortality tendency, upload user Regional Distribution and the amount of uploading Regional Distribution information；Produced
Number of passes is uploaded according to report form statistics, transcoding, distribution each submodule status data, failed configuration details and accounting
Information；Resource utilization report form statistics transcoding machine utilization rate, transcoding capacity utilization and each link are the fastest
Degree compares information；The user type of user behavior data report form statistics uploaded videos and user's active time section
Information；The statistics video code rate analysis of media information data sheet, duration analysis, video content analysis letter
Breath；Performance report statistics is uploaded, transcoding, distribution speed data information.Above form after generation by page
Face display unit illustrates.
The buffer unit of Reports module obtains data for form cell call from cube.For form
The data that unit often calls, buffer unit can carry out caching to reduce access cube, improve and ring
Answer speed.
In sum, by means of the technique scheme of the present invention, receive initial data by using, enter
Row dimension-reduction treatment, the formatted data sorting out standard from the most confusing initial data writes many dimensions
According to collection, generate the technical scheme of form according to the requirement of different angles, it is possible to depositing of carrying mass data
Store up, arrange and present, can normally work under the big data environment at business datum center.
Those of ordinary skill in the field are it is understood that the foregoing is only the specific embodiment of the present invention
, be not limited to the present invention, all within the spirit and principles in the present invention, that is done any repaiies
Change, equivalent, improvement etc., should be included within the scope of the present invention.
Claims (14)
1. a business datum report method, it is characterised in that including:
Generate and store the initial data generated needed for bordereau；
Receive described initial data, and described initial data is carried out dimension-reduction treatment；
According to the data genaration cube after dimension-reduction treatment；
Form is generated according to described cube.
Method the most according to claim 1, it is characterised in that described initial data is carried out dimensionality reduction
Process front further comprising the steps of:
Collect described initial data, and extract valid data and variable；
Identifying the value in data, fill a vacancy value, reduces data noise, eliminates the inconsistency of data；
By data and variable standardization, discretization.
Method the most according to claim 2, it is characterised in that described generation also stores initial data
Step include at least one mode following:
By the data produced at line service, and it is stored in Service Database；
Asynchronous generation message, and be stored in asynchronous message queue；
Interface is used to obtain the high real-time data that extraneous platform generates；
The event data that record operation generates, and be stored in journal file.
Method the most according to claim 3, it is characterised in that
The described data by producing at line service, and be stored in Service Database and include: to described industry
Business database carries out master-slave back-up, and gathers also at the ETL instrument that uses from storehouse of described Service Database
Receive data, wherein, the master library of described Service Database with from storehouse, there is data isolation；
The event data that described record operation generates, and be stored in journal file and include: create timing and appoint
Business, and gather from described journal file according to described timed task and receive data, wherein, described fixed
Time task in record have the data acquisition time specified.
Method the most according to claim 2, it is characterised in that described initial data is carried out dimensionality reduction
After process, the also data after storage dimension-reduction treatment；
According to the data genaration cube after dimension-reduction treatment it is: obtain the number after the dimension-reduction treatment of storage
According to and use Mathematical Modeling based on on-line analysis processing data to be carried out clustering processing, according to reality
Business demand generates cube.
Method the most according to claim 5, it is characterised in that described cube includes monitoring
Business datum, live broadcast service data and demand (telecommunication) service data.
Method the most according to claim 6, it is characterised in that generate according to described cube
Form includes:
Obtain cube, and store frequently-used data and the data inquired about；
Live broadcast service form, demand (telecommunication) service form and monitoring is formed with the data inquired about according to frequently-used data
Bordereau；
Use and graphically show described bordereau, demand (telecommunication) service form and monitoring business form respectively.
8. a business datum reporting system, it is characterised in that including:
Data source modules, described data source modules is the starting point of business datum reporting system, described data source
Module storage is for generating the initial data needed for bordereau；
Data acquisition module, described data acquisition module is connected to described data source modules, described data acquisition
Collection module includes Data Reduction unit, and described Data Reduction unit receives data also from described data source modules
Carry out dimension-reduction treatment；
Data analysis module, described data analysis module is connected to described data acquisition module, described data
Analyze the data after module obtains described data acquisition module dimension-reduction treatment and generate cube；
Reports module, described Reports module is connected to described data analysis module, and described Reports module obtains
Described data analysis module generate cube and form form.
System the most according to claim 8, it is characterised in that described data acquisition module also includes
Data Integration unit, data cleansing unit and data conversion unit, wherein:
Described Data Integration unit is for collecting described initial data from described data source modules, and extracts
Go out data and the variable of necessity；
Described data cleansing unit is connected to described Data Integration unit, is used for obtaining described Data Integration list
The data of unit's extraction and variable, and identify the value in data, the value that fills a vacancy, minimizing data noise, disappear
The inconsistency of divisor evidence；
Described data conversion unit is connected to described data cleansing unit, is used for obtaining described data cleansing list
The data of unit's process and variable, and by data and variable standardization, discretization.
System the most according to claim 9, it is characterised in that described data source modules include with
At least one lower:
Service Database, described Service Database is stored in the data that line service produces；
Message elements, described message elements uses asynchronous message queue to send data；
Interface unit, described interface unit is used for transmitting high real-time data；
Journal file, described journal file is used for recording Action Events.
11. systems according to claim 10, it is characterised in that
Described data acquisition module receives data from described Service Database and includes: described data acquisition module
Described Service Database is carried out master-slave back-up, and in the use ETL work from storehouse of described Service Database
Tool gathers and also receives data, wherein, the master library of described Service Database with from storehouse, there is data isolation；
Described data acquisition module receives data from described journal file and includes: described data acquisition module is created
Build timed task, and gather from described journal file according to described timed task and receive data, its
In, in described timed task, record has the data acquisition time specified.
12. systems according to claim 9, it is characterised in that described data acquisition module also wraps
Include data warehouse, after described data acquisition module carries out dimension-reduction treatment to described initial data, go back dimensionality reduction
Data after process store described data warehouse；
Described data analysis module obtains the data after the dimension-reduction treatment of described data warehouse storage and generates many
Dimension data collection is: described data analysis module obtains the data after described data acquisition module dimension-reduction treatment also
Mathematical Modeling based on on-line analysis processing is used data to be carried out clustering processing, according to practical business
Demand generates cube.
13. systems according to claim 12, it is characterised in that described cube includes prison
Control business datum, live broadcast service data and demand (telecommunication) service data.
14. systems according to claim 13, it is characterised in that described Reports module includes:
Buffer unit, described buffer unit storage frequently-used data and the data inquired about；
Form unit, described form unit is used for forming live broadcast service form, demand (telecommunication) service form and monitoring
Bordereau；
Page presentation unit, described page presentation unit use graphical representation described bordereau respectively,
Demand (telecommunication) service form and monitoring business form.
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| CN201610201037.XA CN105843936A (en) | 2016-03-31 | 2016-03-31 | Service data report form method and system |
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| CN108735275A (en) * | 2018-05-28 | 2018-11-02 | 重庆浩雅宇殊科技有限公司 | A kind of automatic report preparing system and report-generating method |
| CN109271432A (en) * | 2018-08-21 | 2019-01-25 | 中国平安人寿保险股份有限公司 | Processing method, device, computer equipment and the storage medium of report data |
| CN109272223A (en) * | 2018-09-06 | 2019-01-25 | 广州微印信息科技有限公司 | One kind being based on section's purpose task cooperative system and method |
| CN110309218A (en) * | 2018-02-09 | 2019-10-08 | 杭州数梦工场科技有限公司 | A kind of data exchange system and method for writing data |
| CN111488363A (en) * | 2020-06-28 | 2020-08-04 | 平安国际智慧城市科技股份有限公司 | Data processing method, device, electronic equipment and medium |
| CN111797178A (en) * | 2020-07-06 | 2020-10-20 | 国网安徽省电力有限公司 | Data acquisition and processing method based on report tool |
| WO2022088632A1 (en) * | 2020-11-02 | 2022-05-05 | 平安科技（深圳）有限公司 | User data monitoring and analysis method, apparatus, device, and medium |
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| CN111488363A (en) * | 2020-06-28 | 2020-08-04 | 平安国际智慧城市科技股份有限公司 | Data processing method, device, electronic equipment and medium |
| CN111488363B (en) * | 2020-06-28 | 2020-10-02 | 平安国际智慧城市科技股份有限公司 | Data processing method, device, electronic equipment and medium |
| CN111797178A (en) * | 2020-07-06 | 2020-10-20 | 国网安徽省电力有限公司 | Data acquisition and processing method based on report tool |
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