CN109376147A - A kind of data processing method and system - Google Patents
A kind of data processing method and system Download PDFInfo
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- CN109376147A CN109376147A CN201811416470.0A CN201811416470A CN109376147A CN 109376147 A CN109376147 A CN 109376147A CN 201811416470 A CN201811416470 A CN 201811416470A CN 109376147 A CN109376147 A CN 109376147A
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Abstract
The invention discloses a kind of data processing method and systems, this method comprises: the enterprise business data that will acquire is pre-processed, and classification storage is into the data warehouse of foundation；Based on preset physical model, the data in the data warehouse are handled, and determine the data information in enterprise report, wherein the data information includes row project, column index, template and data formula；According to the data information, enterprise report is generated.The present invention realizes can be based on the distribution and report generation of the complete paired data of physical model.And then the collection for realizing data neutralizes unified management, the application convenient for user to data improves experience effect.
Description
Technical field
The present invention relates to field of computer technology, more particularly to a kind of data processing method and system.
Background technique
It is carried out in production process in enterprise, enterprise's Production database server stores large-scale creation data, these lifes
How production data, which are enterprise, is done production inventory analysis, semi-finished product and feedstock optimization, and the times such as product sale optimizing provide important
Process.These data usually have following characteristics in this process:
Creation data physical extent is widely distributed, many parts of process data distributed enterprise, as oil refining enterprise tank field,
Harbour, ground pump, tank car；Feed bin, the Automatic Warehouse of chemical company；Manufacture automated workshop, the robot, packaging of enterprise
Platform etc.；
It is more that creation data is related to professional domain, for example, being related to enterprise real-time data library, the purchasing of raw materials, semi-finished product add
Work, sale of finished goods, process data, safety and environmental protection data, equipment lubrication and depreciation data etc.；
Data storage is without rule, for example, the data acquiring frequency of real-time data base is wanted with the steady rate data of apparatus and process
Reach second grade, material purchases take day or moon grade, and equipment depreciation takes the moon or grade.
So being a complicated job to the analysis of these storing datas.In the prior art to the processing of these data
System needs constantly to open connection and open source with enterprise database, again when user's tie point is disconnected or serviced and deactivates
The resource of database connection and release busy is ceaselessly closed, if enterprise's application point quantity is excessive, will result in route blocking
The excessive opening with resource, it is poor to user's bring experience effect.
Summary of the invention
It is directed to the above problem, the present invention provides a kind of data processing method and system, the collection for realizing data neutralize system
One management, the application convenient for user to data improve experience effect.
To achieve the goals above, the present invention provides the following technical scheme that
A kind of data processing method, this method comprises:
The enterprise business data that will acquire is pre-processed, and classification storage is into the data warehouse of foundation；
Based on preset physical model, the data in the data warehouse are handled, and are determined in enterprise report
Data information, wherein the data information includes row project, column index, template and data formula；
According to the data information, enterprise report is generated.
Optionally, pre-processed in the enterprise business data that will acquire, and classification storage to establish data
Before in warehouse, this method comprises:
Job queue is created, data task is loaded into the job queue；
Sequence is executed according to the queue in the job queue, respond the data task and gets business event number
According to.
Optionally, the enterprise business data that will acquire is pre-processed, and classification storage to establish data bins
In library, comprising:
The enterprise business data that will acquire carries out data cleansing according to preset data cleaning rule, the number after being cleaned
According to；
According to the class of business data, data classification is carried out to the data after the cleaning, and according to sorted data
Establish data warehouse；
The sorted data are stored into the data warehouse.
Optionally, described to be based on preset physical model, the data in the data warehouse are handled, and determine enterprise
Data information in retribution for sins table, comprising:
Based on preset physical model, the row project, column index and template of enterprise report are determined；
Based on preset physical model, underlying parameter and non-basic parameter are determined；
Data formula is generated according to the underlying parameter and non-basic parameter definition.
Optionally, this method further include:
Enterprise report is backed up, so that the enterprise report after backup is utilized by a business and analyzes.
A kind of data processing system, the system include:
Storage unit, the enterprise business data for will acquire are pre-processed, and classification storage to establish data
In warehouse；
Processing unit is handled the data in the data warehouse, and determine for being based on preset physical model
Data information in enterprise report, wherein the data information includes row project, column index, template and data formula；
Generation unit, for generating enterprise report according to the data information.
Optionally, the system further include:
Data task is loaded into the job queue by creating unit for creating job queue；
Response unit, for executing sequence according to the queue in the job queue, responding the data task and obtaining
To enterprise business data.
Optionally, the storage unit includes:
Subelement is cleaned, the enterprise business data for will acquire is clear according to preset data cleaning rule progress data
It washes, the data after being cleaned；
Classification subelement, for the class according to business data, to the data progress data classification after the cleaning, and according to
Data warehouse is established according to sorted data；
Storing sub-units, for storing the sorted data into the data warehouse.
Optionally, the processing unit includes:
First determines subelement, for being based on preset physical model, determines the row project, column index and mould of enterprise report
Plate；
Second determines subelement, for being based on preset physical model, determines underlying parameter and non-basic parameter；
Formula generates subelement, for generating data formula according to the underlying parameter and non-basic parameter definition.
Optionally, the system further include:
Backup units, for being backed up to enterprise report, so that the enterprise report after backup is utilized by a business and analyzes.
Compared to the prior art, the present invention provides a kind of data processing method and system, the business event that will acquire
After data are pre-processed, and classification storage realizes and the business datum of dispersion is integrated and handled into data warehouse,
It convenient for subsequent statistics and analysis, and is handled, is determined in enterprise report to be generated based on preset physical model
Each data information, realizing can be based on the distribution and report generation of the complete paired data of physical model.In conclusion realizing
The collection of data neutralizes unified management, and the application convenient for user to data improves experience effect.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The embodiment of invention for those of ordinary skill in the art without creative efforts, can also basis
The attached drawing of offer obtains other attached drawings.
Fig. 1 is a kind of flow diagram of data processing method provided in an embodiment of the present invention；
Fig. 2 is a kind of structural schematic diagram of data processing system provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Term " first " and " second " in description and claims of this specification and above-mentioned attached drawing etc. are for area
Not different objects, rather than for describing specific sequence.Furthermore term " includes " and " having " and their any deformations,
It is intended to cover and non-exclusive includes.Such as it contains the process, method of a series of steps or units, system, product or sets
It is standby not to be set in listed step or unit, but may include the step of not listing or unit.
It is to be used in the embodiment of the present invention referring to table 1 in order to which the method in the embodiment of the present invention is explained
Relational language.
Table 1
A kind of data processing method is provided in embodiments of the present invention, referring to Fig. 1, this method comprises:
S101, the enterprise business data that will acquire are pre-processed, and classification storage is into the data warehouse of foundation.
In the embodiment of the present invention by a unified data-interface, i.e., one with the interface channel of user's business data,
Complete the access to enterprise business data library.When user has data task, task is added to the job queue being pre-created
In, it determines and executes the time, data are obtained.It, can be in User Activity due to carrying out data importing according to the execution time
The relatively sluggish period completes the loading to enterprise's production business datum.
The method that a kind of pair of business datum is handled and classified is additionally provided in another embodiment of the invention, including
Following steps:
The enterprise business data that will acquire carries out data cleansing according to preset data cleaning rule, the number after being cleaned
According to；
According to the class of business data, data classification is carried out to the data after the cleaning, and according to sorted data
Establish data warehouse；
The sorted data are stored into the data warehouse.
Specifically, the data warehouse of business datum is established completing the access to enterprise business data library, it is pre- using data
Processing is data cleansing data, for example, by the creation data of enterprise, energy consumption data, equipment lubrication data, environment protection digital, enterprise
Technical process data, analysis data go being stored in data warehouse of equal part Men Bielie.
S102, it is based on preset physical model, the data in the data warehouse is handled, and determine enterprise report
In data information, wherein the data information includes row project, column index, template and data formula；
Physical model is used in the present invention, project, column index, report template and the business formula of standardization, complete at once
The distribution of paired data.Physical model such as system needs to extract the temperature property of computer, and system will establish standardization formula
ZZDTEMP (NAME, TIME) uses the parameter model in any scene in the present system by the definition of this normalized form,
Some computer can be extracted in integrated temperature sometime.
It is described below for data formula used in the embodiment of the present invention, that is, report form formula analytic technique.
It first has to determine the parameter model in data formula, and basic data is expressed as ExpressionValue=
{ ParameterA, ParameterB, ParameterC }, wherein middle ExpressionValue is mentioned by the formula by parsing
The value for evidence of fetching, ParameterA are underlying parameter value a required for the value of the extraction formula；ParameterB is the extraction
Underlying parameter value b required for the value of the formula, ParameterC are underlying parameter value required for the value of the extraction formula
c.ExpressionValue is basic data.
The non-basic data are indicated, the non-basic data are expressed as at least one or more subdata
Arithmetic；For example, non-basic data are expressed as DataValue={ ExpressionValueA*1000+
ExpressionValueB/ExpressionValueC}。
It should be noted that basic data is exactly the data directly extracted by physical model, non-basic data refer to
It is that standardization formula is applied to by four fundamental rules hybrid operation and evolution, index, idempotent by calculating obtained data.
The normalized form of basic data can be defined by certain rule.Such as EnergyPipeNode
(NETNAME, ENERGYNAME, FLAG), EnergyPipeNode are the numbers to certain medium for extracting energy pipe network in report
According to the definition that is standardized of formula, by the title of energy pipe network, the title of energy medium, into " into " of energy pipe network
Or " out " mark carries out the extraction to data.
Wherein, rule refers to that the parameter in the same normalized form is different, and represented content is just different, such as above
Example ZZDTEMP (NAME, TIME), indicates the integrated temperature of this computer at some time point.
ZZDTEMP (NAME, TIME, 1), indicates the cpu temperature of this computer at some time point；
ZZDTEMP (NAME, TIME, 2) indicates the mainboard temperature of this computer at some time point；
ZZDTEMP (NAME, TIME, 3) indicates the video card temperature of this computer at some time point；
ZZDTEMP (NAME, TIME, 4), indicates the hard disk temperature of this computer at some time point.
If this formula only one parameter model ZZDTEMP (NAME), when extracted data, this computer is very
Most evidences have temperature, battery dump energy, disk running speed, remaining space of hard disk etc..So even if formula name is identical,
Different basic datas can be obtained from different rules.
S103, according to the data information, generate enterprise report.
Through the above steps establish be uniformly accessed into mouth, job queue is added in task, determine execute the time, by data into
Row cleaning, is stored in different data warehouses.According to the report of enterprise, the row project of report is determined；According to the report of enterprise
The column index of report is determined by table；By the way that by the row project of report, the rapid build foundation forms of column index determines report
Table row column intersect basic data formula or non-basic data formula in coordinate.The mark built in system can be used in the configuration of formula
Quasi- model formation also can be used normalized form by four fundamental rules and run progress mixed configuration.Enterprise report thus can be generated,
Convenient for providing Data Mart for the large-scale display platform such as big data analysis platform or business decision.
In another embodiment of the invention further include:
The one one-key backup report: such operation, which can be distributed, answers row project, column index, the ranks intersection coordinate pair in report
Formula report template carry out quick backup；
One key generates the report: such operation can will select the report template in report, row project, column index, ranks to hand over
Formula and formwork style in fork cell replicate identical version and come out.
The object that the embodiment of the present invention is directed to, that is, by Formula Parsing technology, will be reported using Report form application object as carrier
Formula meaning in table is described as the machine language that data can identify, is completed jointly with time granularity, row project, column index to report
The effective expression of table data.The business datum of dispersion is integrated, is allowed to carry out data using unified platform and approach
Inquiry, statistics and analysis, terminal user be not necessarily to development Experience and development technique, be only appreciated that report meaning, letter can be passed through
Single report forms configuration completes the development and application to the various reports of enterprise.The invention realizes the centralization of data and the pipe that unitizes
Reason, and reduce the settlement efficiency of enterprise, it is more convenient the maintenance that later period report changes.
The present invention provides a kind of data processing method, after the enterprise business data that will acquire is pre-processed, and point
Class is stored into data warehouse, realizes and the business datum of dispersion is integrated and handled, and is convenient for subsequent statistics and analysis,
And it is handled based on pre- non-physical model, determines each data information in enterprise report to be generated, realize energy
Enough distribution and report generation based on the complete paired data of physical model.In conclusion the collection for realizing data neutralizes unified management,
Application convenient for user to data, improves experience effect.
It is corresponding, referring to fig. 2, a kind of data processing system is additionally provided in another embodiment of the invention, the system
Include:
Storage unit 201, the enterprise business data for will acquire are pre-processed, and classification storage to establish number
According in warehouse；
Processing unit 202, for handling the data in the data warehouse based on preset physical model, and
Determine the data information in enterprise report, wherein the data information includes row project, column index, template and data formula；
Generation unit 203, for generating enterprise report according to the data information.
The present invention provides a kind of data processing system, the enterprise business data that will acquire in the memory unit carries out pre-
After processing, and classification storage realizes and the business datum of dispersion is integrated and handled into data warehouse, convenient for subsequent
Statistics and analysis, and handled in processing unit based on preset physical model, it determines in enterprise report to be generated
Each data information, generation unit realizes can be based on the distribution and report generation of the complete paired data of physical model.To sum up
Described, the collection for realizing data neutralizes unified management, and the application convenient for user to data improves experience effect.
Optionally, the system further include:
Data task is loaded into the job queue by creating unit for creating job queue；
Response unit, for executing sequence according to the queue in the job queue, responding the data task and obtaining
To enterprise business data.
On the basis of the above embodiments, the storage unit includes:
Subelement is cleaned, the enterprise business data for will acquire is clear according to preset data cleaning rule progress data
It washes, the data after being cleaned；
Classification subelement, for the class according to business data, to the data progress data classification after the cleaning, and according to
Data warehouse is established according to sorted data；
Storing sub-units, for storing the sorted data into the data warehouse.
On the basis of the above embodiments, the processing unit includes:
First determines subelement, for being based on preset physical model, determines the row project, column index and mould of enterprise report
Plate；
Second determines subelement, for being based on preset physical model, determines underlying parameter and non-basic parameter；
Formula generates subelement, for generating data formula according to the underlying parameter and non-basic parameter definition.
On the basis of the above embodiments, the system further include:
Backup units, for being backed up to enterprise report, so that the enterprise report after backup is utilized by a business and analyzes.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with other
The difference of embodiment, the same or similar parts in each embodiment may refer to each other.For device disclosed in embodiment
For, since it is corresponded to the methods disclosed in the examples, so being described relatively simple, related place is said referring to method part
It is bright.
The foregoing description of the disclosed embodiments enables those skilled in the art to implement or use the present invention.
Various modifications to these embodiments will be readily apparent to those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, of the invention
It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one
The widest scope of cause.
Claims (10)
1. a kind of data processing method, which is characterized in that this method comprises:
The enterprise business data that will acquire is pre-processed, and classification storage is into the data warehouse of foundation；
Based on preset physical model, the data in the data warehouse are handled, and determine the data in enterprise report
Information, wherein the data information includes row project, column index, template and data formula；
According to the data information, enterprise report is generated.
2. the method according to claim 1, wherein being located in advance in the enterprise business data that will acquire
Reason, and before classification storage is into the data warehouse of foundation, this method comprises:
Job queue is created, data task is loaded into the job queue；
Sequence is executed according to the queue in the job queue, respond the data task and gets enterprise business data.
3. according to the method described in claim 2, it is characterized in that, the enterprise business data that will acquire is located in advance
Reason, and classification storage is into the data warehouse of foundation, comprising:
The enterprise business data that will acquire carries out data cleansing according to preset data cleaning rule, the data after being cleaned；
According to the class of business data, data classification is carried out to the data after the cleaning, and establish according to sorted data
Data warehouse；
The sorted data are stored into the data warehouse.
4. according to the method described in claim 3, it is characterized in that, described be based on preset physical model, to the data bins
Data in library are handled, and determine the data information in enterprise report, comprising:
Based on preset physical model, the row project, column index and template of enterprise report are determined；
Based on preset physical model, underlying parameter and non-basic parameter are determined；
Data formula is generated according to the underlying parameter and non-basic parameter definition.
5. according to the method described in claim 4, it is characterized in that, this method further include:
Enterprise report is backed up, so that the enterprise report after backup is utilized by a business and analyzes.
6. a kind of data processing system, which is characterized in that the system includes:
Storage unit, the enterprise business data for will acquire are pre-processed, and classification storage to establish data warehouse
In；
Processing unit is handled the data in the data warehouse, and determine enterprise for being based on preset physical model
Data information in report, wherein the data information includes row project, column index, template and data formula；
Generation unit, for generating enterprise report according to the data information.
7. system according to claim 6, which is characterized in that the system further include:
Data task is loaded into the job queue by creating unit for creating job queue；
Response unit, for executing sequence according to the queue in the job queue, responding the data task and getting enterprise
Industry business datum.
8. system according to claim 7, which is characterized in that the storage unit includes:
Subelement is cleaned, the enterprise business data for will acquire carries out data cleansing according to preset data cleaning rule, obtains
Data after must cleaning；
Classification subelement carries out data classification, and foundation point to the data after the cleaning for the class according to business data
Data after class establish data warehouse；
Storing sub-units, for storing the sorted data into the data warehouse.
9. system according to claim 8, which is characterized in that the processing unit includes:
First determines subelement, for being based on preset physical model, determines the row project, column index and template of enterprise report；
Second determines subelement, for being based on preset physical model, determines underlying parameter and non-basic parameter；
Formula generates subelement, for generating data formula according to the underlying parameter and non-basic parameter definition.
10. system according to claim 9, which is characterized in that the system further include:
Backup units, for being backed up to enterprise report, so that the enterprise report after backup is utilized by a business and analyzes.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110598993A (en) * | 2019-08-19 | 2019-12-20 | 深圳市鹏海运电子数据交换有限公司 | Data processing method and device |
| CN111597173A (en) * | 2020-04-02 | 2020-08-28 | 上海瀚之友信息技术服务有限公司 | Data warehouse system |
| CN111915137A (en) * | 2020-07-01 | 2020-11-10 | 物耀安全科技(杭州)有限公司 | Construction method of manufacturing industry data model |
| CN113220799A (en) * | 2021-05-13 | 2021-08-06 | 北京德风新征程科技有限公司 | Big data early warning management system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101075304A (en) * | 2006-05-18 | 2007-11-21 | 河北全通通信有限公司 | Method for constructing decision supporting system of telecommunication industry based on database |
| US20140268168A1 (en) * | 2013-03-14 | 2014-09-18 | Research Development Foundation | Apparatus and methods for optical coherence tomography and two-photon luminescence imaging |
| CN104299105A (en) * | 2014-11-02 | 2015-01-21 | 中国科学院软件研究所 | Credit data management system supporting complex enterprise environment and credit data management method |
| CN104699803A (en) * | 2015-03-20 | 2015-06-10 | 浪潮通用软件有限公司 | XBRL (extensible business reporting language) report writing method meeting requirement for multi-specification submission |
| CN107918600A (en) * | 2017-11-15 | 2018-04-17 | 泰康保险集团股份有限公司 | report development system and method, storage medium and electronic equipment |
| CN108846691A (en) * | 2018-06-04 | 2018-11-20 | 中国天津粮油批发交易市场 | Regional grain and oil market price monitoring analysing and predicting system and monitoring method |
-
2018
- 2018-11-26 CN CN201811416470.0A patent/CN109376147A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101075304A (en) * | 2006-05-18 | 2007-11-21 | 河北全通通信有限公司 | Method for constructing decision supporting system of telecommunication industry based on database |
| US20140268168A1 (en) * | 2013-03-14 | 2014-09-18 | Research Development Foundation | Apparatus and methods for optical coherence tomography and two-photon luminescence imaging |
| CN104299105A (en) * | 2014-11-02 | 2015-01-21 | 中国科学院软件研究所 | Credit data management system supporting complex enterprise environment and credit data management method |
| CN104699803A (en) * | 2015-03-20 | 2015-06-10 | 浪潮通用软件有限公司 | XBRL (extensible business reporting language) report writing method meeting requirement for multi-specification submission |
| CN107918600A (en) * | 2017-11-15 | 2018-04-17 | 泰康保险集团股份有限公司 | report development system and method, storage medium and electronic equipment |
| CN108846691A (en) * | 2018-06-04 | 2018-11-20 | 中国天津粮油批发交易市场 | Regional grain and oil market price monitoring analysing and predicting system and monitoring method |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110598993A (en) * | 2019-08-19 | 2019-12-20 | 深圳市鹏海运电子数据交换有限公司 | Data processing method and device |
| CN111597173A (en) * | 2020-04-02 | 2020-08-28 | 上海瀚之友信息技术服务有限公司 | Data warehouse system |
| CN111915137A (en) * | 2020-07-01 | 2020-11-10 | 物耀安全科技(杭州)有限公司 | Construction method of manufacturing industry data model |
| CN113220799A (en) * | 2021-05-13 | 2021-08-06 | 北京德风新征程科技有限公司 | Big data early warning management system |
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