CN106709017B - A kind of aid decision-making method based on big data - Google Patents
A kind of aid decision-making method based on big data Download PDFInfo
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- CN106709017B CN106709017B CN201611226754.4A CN201611226754A CN106709017B CN 106709017 B CN106709017 B CN 106709017B CN 201611226754 A CN201611226754 A CN 201611226754A CN 106709017 B CN106709017 B CN 106709017B
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2465—Query processing support for facilitating data mining operations in structured databases
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Abstract
The invention discloses a kind of aid decision-making method based on big data, it carries out selection data dictionary according to decision requirements, carry out establishing basic model storehouse using keyword mechanism, the data in basic model storehouse are analyzed according to decision requirements, shown, carrying out data mining to data results obtains decision data.Present invention uses big data platform technology, data dictionary, model construction effectively tissue to together, data analysis system is quickly and easily built, carries out aid decision, effectively reduced the time-consuming of information requirement expression, ensure that the degree of accuracy, improve the efficiency of decision-making.
Description
Technical field
The present invention relates to a kind of aid decision-making method based on big data, belongs to big data mining analysis technical field.
Background technology
With being continuously increased for personalized decision data service content, the busincess intelligence based on data warehouse is
As the important means of big data industry future competition, more demand requirements are excavated to more valuable from big data platform
Content information, the more brilliant decision-making of auxiliary provide data analysis and helped.Based on big data platform, information source and storage form
There is diversity, multiple types, data representation isomery, in face of the quick-searching of mass data, Analysis of Policy Making, drill through step by step
Deng the dependency relation between data is from the system application of single fixation, the multisystem data correlation gone in big data environment, logarithm
Higher requirement is proposed with treatment efficiency, the data service modes under big data environment, preferably provided for decision-making according to excavating
The demand that data are supported increasingly highlights.
The content of the invention
For above-mentioned deficiency, the invention provides a kind of aid decision-making method based on big data, and it can make decision-making party
Method is quick, simple, efficient to be used.
The present invention solves its technical problem and adopted the technical scheme that：A kind of aid decision-making method based on big data, its
It is characterized in, selection data dictionary is carried out according to decision requirements, carries out establishing basic model storehouse using keyword mechanism, according to decision-making
Demand is analyzed the data in basic model storehouse, shown that carrying out data mining to data results obtains decision data.
Further, the aid decision-making method based on big data is somebody's turn to do to comprise the following steps：
Step 1：It is proposed decision requirements：User proposes to be carried out the decision-making needs of data mining and displaying, the decision-making
Need to comprise at least involved service point and excavate purpose；
Step 2：Choose data dictionary：Carry out choosing corresponding data dictionary according to the decision requirements that user proposes；
Step 3：Establish keyword mechanism：In data retrieval, according to the keyword search key storehouse of retrieval, if
The retrieval result of the keyword in key word library is then called with the keyword match in key word library, if the keyword and key
Keyword in character library mismatches, and is retrieved from the data dictionary of selection, and by the data retrieved from data dictionary
Appearance is saved in key word library；
Step 4：Establish basic model storehouse：Keyword, decision requirements and data dictionary are associated according to retrieval result
Basic model is established, and the basic model of foundation is saved in plinth model library；
Step 5：Carry out data analysis, displaying：Basic model storehouse is called according to decision requirements and relevant rudimentary model is entered
Data results are shown by row analysis with patterned form；
Step 6：Carry out data mining：Data mining is carried out to data results, finds data root, forms decision-making
Data.
Further, the data dictionary includes knowledge base, policies and regulations storehouse, System Documents storehouse, job instruction, basis
Database, production business library, exchange shared library, Analysis of Policy Making storehouse.
Further, the knowledge base includes problem base, hidden danger storehouse and data bank, for quick autonomous learning, searches and asks
Topic, solves problem；The basic database is used to deposit all kinds of basic dictionary datas and basic agricultural object data, agriculture industry
Be engaged in object mainly include cultivated land resource, fertilization compositions based on earth measurement, agricultural product price market, agricultural pest, agriculture feelings and production management,
Agriculture Internet of Things, confirmation of land right；The production business library is used to deposit business caused by all kinds of operation system routine work operations
Data；The need for exchanging shared library and being used to realize the data share exchange between agriculture the superior and the subordinate, external unit and the Ministry of Agriculture
Ask, be provided with and exchange sharing data area, the agriculture business datum for exchanging having shared demand is stored and managed, agricultural sector
Shared data bank should exchange the data source of shared library in production business library with producing business library logical separation；The decision-making point
Analysis storehouse is used to deposit the related all kinds of operational datas of agriculture business.To realize agricultural data in-depth analysis and aid decision, with
Data are carried out based on production business library slightly to collect, and form Analysis of Policy Making storehouse, and divide the characteristics of combination agricultural data with decision-making
Analysis needs to build subject analysis model.
Further, the basic model includes soil moisture content Early-warning Model, pestforecasting Early-warning Model, envirment factor
Model, agricultural extension model.
Further, in step 5, if not meeting decision requirements in basic model storehouse when calling basic model storehouse
Basic model, then establish new basic model and be saved in basic model storehouse.
Further, the patterned form being shown to data results includes pie chart, block diagram, curve map and row
Table.
The beneficial effects of the invention are as follows：
For the efficiency of accurate retrieval decision-making effective information in lifting big data environment, fast and effectively find closing in data
Connection and influence factor, allow data to maximize degree and support decision-making, present invention uses big data platform technology, data dictionary, mould
Type builds effectively tissue and, to together, quickly and easily builds data analysis system, carries out aid decision, and effectively reducing information needs
The time-consuming of expression is asked, the degree of accuracy is ensure that, improves the efficiency of decision-making.
The invention has the characteristics that：
(1) proposition of decision requirements is the premise of data mining and displaying, and user needs the industry clearly involved by the decision-making
Business point and excavation purpose；
(2) application of data dictionary is analyzed according to existing information excavating, for customizing data analysis, it is necessary to establish new
Data model and data dictionary carry out meet demand；
(3) establish keyword mechanism be in order to improve recall precision in data retrieval, can with fast positioning, go out to sign an undertaking
Fruit；
(4) establish basic model storehouse and be used for business datum mining analysis, data mining service is provided for decision requirements；
(5) drilling through for data is to look for data root according to data results, forms decision data.
Brief description of the drawings
With reference to Figure of description, the present invention will be described.
Fig. 1 is flow chart of the method for the present invention；
Flow chart is embodied in agricultural is applied for the present invention in Fig. 2.
Embodiment
For the technical characterstic for illustrating this programme can be understood, below by embodiment, and its accompanying drawing is combined, to this hair
It is bright to be described in detail.Following disclosure provides many different embodiments or example is used for realizing the different knots of the present invention
Structure.In order to simplify disclosure of the invention, hereinafter the part and setting of specific examples are described.In addition, the present invention can be with
Repeat reference numerals and/or letter in different examples.This repetition is that for purposes of simplicity and clarity, itself is not indicated
Relation between various embodiments are discussed and/or set.It should be noted that part illustrated in the accompanying drawings is not necessarily to scale
Draw.Present invention omits the description to known assemblies and treatment technology and process to avoid being unnecessarily limiting the present invention.
A kind of aid decision-making method based on big data of the present invention, it carries out selection data dictionary according to decision requirements,
Carry out establishing basic model storehouse using keyword mechanism, the data in basic model storehouse are analyzed according to decision requirements, opened up
Show, carrying out data mining to data results obtains decision data.
As shown in figure 1, being somebody's turn to do the aid decision-making method based on big data includes step in detail below：
Step 1：It is proposed decision requirements：User proposes to be carried out the decision-making needs of data mining and displaying, the decision-making
Need to comprise at least involved service point and excavate purpose.The it is proposed of decision requirements, it is the premise of data mining and displaying, uses
Family needs clearly to do the involved service point of this calculating, clearly excavates purpose.
Step 2：Choose data dictionary：Carry out choosing corresponding data dictionary according to the decision requirements that user proposes.This hair
It is bright to carry out existing information excavating analysis, for customizing data analysis, it is necessary to establish new data model with data dictionary to expire
Sufficient demand.Data dictionary built in system, used for quick-searching matched data.
Step 3：Establish keyword mechanism：In data retrieval, according to the keyword search key storehouse of retrieval, if
The retrieval result of the keyword in key word library is then called with the keyword match in key word library, if the keyword and key
Keyword in character library mismatches, and is retrieved from the data dictionary of selection, and by the data retrieved from data dictionary
Appearance is saved in key word library.In data retrieval, the key search repeated can cause the processing task of machine constantly to repeat,
To improve recall precision, establish keyword mechanism, the keyword message of systematic collection retrieval input, incidence relation, data model,
As a result output etc. range of information, when have duplicate key word input when, can with fast positioning, provide result.
Step 4：Establish basic model storehouse：Keyword, decision requirements and data dictionary are associated according to retrieval result
Basic model is established, and the basic model of foundation is saved in plinth model library.Basic model storehouse is used for business datum excavation point
Analysis, the durability in basic model storehouse is strong and precision is continued to optimize with the application of Result.Basic model storehouse is established, by institute
There is the content that the needs covered in business model, it is unified to arrive model library, preferably provide data mining service for decision requirements.
Step 5：Carry out data analysis, displaying：Basic model storehouse is called according to decision requirements and relevant rudimentary model is entered
Data results are shown by row analysis with patterned form.Decision-making level draws data result by the system.
Step 6：Carry out data mining：Data mining is carried out to data results, finds data root, forms decision-making
Data.Data results content is drilled through step by step, looks for data root, accomplishes that any decision data has evidence can
According to.
Flow chart is embodied in agricultural is applied for the present invention in Fig. 2.As shown in Fig. 2 when the present invention is applied in agricultural
Specific implementation process it is as follows：
First, decision requirements are proposed
The data dictionary that decision requirements can be used with auto-associating, associate applicable basic model storehouse.Data dictionary includes
Knowledge base, policies and regulations storehouse, job instruction, basic database, production business library, exchange shared library, Analysis of Policy Making storehouse etc..
Knowledge base：Including basic databases such as problem base, hidden danger storehouse, data bank.For quick autonomous learning, search and ask
Topic, solves problem.
Basic database：Base library is mainly used in depositing all kinds of basic dictionary datas and basic agricultural object data.Respectively
Class agricultural business object mainly include cultivated land resource, fertilization compositions based on earth measurement, agricultural product price market, agricultural pest, agriculture feelings and
Production management.The basic datas such as agriculture Internet of Things, confirmation of land right.Each application system of the future of agriculture integrated service all should follow basis
The basic dictionary standard in storehouse, it is unified to use basic agricultural object data.
Produce business library：For depositing business datum caused by all kinds of operation system routine work operations.Business datum
Storage is arranged and divided according to business scope, and strictly controls access rights, ensures the storage safety of all kinds of operation systems
Property.
Exchange shared library：To realize the need of the data share exchange between agriculture the superior and the subordinate, external unit and the Ministry of Agriculture
Ask, special exchange sharing data area is set, the agriculture business datum for exchanging having shared demand is stored and managed, agricultural
Department's shared data bank should be with producing business library logical separation, and its data source is in production business library.
Analysis of Policy Making storehouse：What production business stock was put is the related all kinds of operational datas of agriculture business.To realize agricultural
Data in-depth analysis and aid decision, progress data slightly collect based on producing business library, form Analysis of Policy Making storehouse, and tie
The characteristics of closing agricultural data and Analysis of Policy Making need to build subject analysis model.
2nd, the data dictionary needed for selection
Data dictionary is various under big data platform, such as knowledge base, policies and regulations storehouse, System Documents storehouse, job instruction,
Decision requirements are needed to screen related content, and basic data input is provided for rapid data retrieval.When user proposes decision requirements,
It is current if desired for influence of the analysis policies and regulations to the price trend of agricultural product, click data dictionary, the matching of system automatic screening
The dictionary list (price storehouse, policies and regulations storehouse, knowledge base etc.) most agreed with demand, user can also self-defined retrieval data word
Allusion quotation, several data dictionaries used in demand are chosen as data input.
3rd, auto-associating search key
Data retrieval business under big data platform is more, and repeated retrieval tasks are also more, establishes keyword association mechanism,
Data retrieval tasks are efficiently completed, the key search result occurred before are taken out, newly-increased key search
Content is added in keyword association storehouse, is used for later Data duplication retrieval.User inputs the keyword for needing to retrieve, and is
System search key storehouse automatic first, if repeatability inquiry, the content results that system was retrieved before finding, is directly exported
To displaying interface；If keyword is not present, it is considered as keyword and increases newly, the data content and incidence relation covered in retrieving
Will exist in key word library, convenient repeated retrieval in the future uses.
4th, application foundation model library
After data content prepares completely, calling model storehouse, data analysis and data mining are realized.In basic model storehouse
Model can not such as meet existing demand, and new model can be established by mode input to basic model storehouse, system preservation model
Algorithm realizes content, there is provided is used to later data.Under big data platform, the storage forms of data have it is a variety of, HDFS points
Cloth file stores, HBase distributed data library storages, Hive data warehouse storages etc., and behind calling model storehouse, system is by model
The data used retrieval analysis from HBase or Hive comes out, and can also build Spark according to data scale and demand scene
Memory database improves data-handling efficiency.It is real by distributed type assemblies by using big data platform and technology, mass data
Now analysis displaying.Basic model includes soil moisture content Early-warning Model, pestforecasting Early-warning Model, envirment factor model, agricultural
Rate Based On The Extended Creep Model etc..The implementation process of big data, it is the degree of accuracy that model calculates by data input, model calculating, result application
The result of output is had a direct impact.Soil moisture content Early-warning Model, pestforecasting Early-warning Model, envirment factor model, agriculture
The various basic models such as industry Rate Based On The Extended Creep Model can use existing model and carry out adaptation to it, it is preferably applied
In the present invention.
5th, data results are provided
By using Dictionary Database, basic model storehouse, data are shown in the page with patterned form, are in the page
Existing content, it is to be carried out by Hive in big data Hadoop at data such as agricultural product (apple) upward price trend analysis graph
Shown after reason, displayed page is by calling JSON to realize that data are shown.
6th, data mining
The result of data analysis can drill through step by step, find data source.The purpose of data mining, it is by data mining point
Result is analysed, data root is found, accomplishes that data are evidence-based, make the result of decision authentic and valid.User can click data analysis page
The data of any positions such as the pie chart in face, block diagram, curve map, list, under get into two level, the three-level page, each page has
Data analysis content, is shown from different aspect.
7th, result application.By data analysis displaying with drilling through, reliability, the availability of result of calculation are determined, is decision-making
There is provided and support, result is applied in decision-making.As a result the standardization standard content provided using words art according to system, enhancement information
The efficiency of requirement express.
The present invention can realize the flexible linkage of data dictionary, dynamic increase and decrease and Rapid matching, there is provided basic data mould
The implementation of type, for general utility functions rapid modeling, allow decision-making technique is quick in every field, simple, efficient to use.
Simply the preferred embodiment of the present invention described above, for those skilled in the art,
Without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications are also regarded as this hair
Bright protection domain.
Claims (6)
1. a kind of aid decision-making method based on big data, it is characterized in that, selection data dictionary is carried out according to decision requirements, is utilized
Keyword mechanism is carried out establishing basic model storehouse, and the data in basic model storehouse are analyzed according to decision requirements, shown, right
Data results carry out data mining and obtain decision data；
The aid decision-making method based on big data comprises the following steps：
Step 1：It is proposed decision requirements：User proposes to be carried out the decision-making needs of data mining and displaying, the decision-making needs
Including at least involved service point and excavate purpose；
Step 2：Choose data dictionary：Carry out choosing corresponding data dictionary according to the decision requirements that user proposes；
Step 3：Establish keyword mechanism：In data retrieval, according to the keyword search key storehouse of retrieval, if with pass
Keyword match in key character library then calls the retrieval result of the keyword in key word library, if the keyword and key word library
In keyword mismatch, retrieved from the data dictionary of selection, and by the data content retrieved from data dictionary protect
It is stored in key word library；
Step 4：Establish basic model storehouse：Keyword, decision requirements and data dictionary are associated by foundation according to retrieval result
Basic model, and the basic model of foundation is saved in plinth model library；
Step 5：Carry out data analysis, displaying：Basic model storehouse is called according to decision requirements and relevant rudimentary model is divided
Data results are shown by analysis with patterned form；
Step 6：Carry out data mining：Data mining is carried out to data results, finds data root, forms decision data.
2. a kind of aid decision-making method based on big data according to claim 1, it is characterized in that, the data dictionary bag
Include knowledge base, policies and regulations storehouse, System Documents storehouse, job instruction, basic database, production business library, exchange shared library, certainly
Plan analyzes storehouse.
3. a kind of aid decision-making method based on big data according to claim 2, it is characterized in that,
The knowledge base includes problem base, hidden danger storehouse and data bank, for quick autonomous learning, searches problem, solves the problems, such as；
The basic database is used to deposit all kinds of basic dictionary datas and basic agricultural object data, agriculture business object master
To include cultivated land resource, fertilization compositions based on earth measurement, agricultural product price market, agricultural pest, agriculture feelings and production management, agriculture thing
Networking, confirmation of land right；
The production business library is used to deposit business datum caused by all kinds of operation system routine work operations；
The need for exchanging shared library and being used to realize the data share exchange between agriculture the superior and the subordinate, external unit and the Ministry of Agriculture
Ask, be provided with and exchange sharing data area, the agriculture business datum for exchanging having shared demand is stored and managed, agricultural sector
Shared data bank should exchange the data source of shared library in production business library with producing business library logical separation；
The Analysis of Policy Making storehouse is used to deposit the related all kinds of operational datas of agriculture business, to realize agricultural data in-depth analysis
And aid decision, progress data slightly collect based on producing business library, form Analysis of Policy Making storehouse, and combine agricultural data
Feature and Analysis of Policy Making need to build subject analysis model.
4. a kind of aid decision-making method based on big data according to claim 3, it is characterized in that, the basic model bag
Early-warning Model containing soil moisture content, pestforecasting Early-warning Model, envirment factor model, agricultural extension model.
5. a kind of aid decision-making method based on big data according to claim 1, it is characterized in that, in step 5, adjust
If with the basic model for not meeting decision requirements in basic model storehouse during basic model storehouse, new basic model is established simultaneously
It is saved in basic model storehouse.
6. a kind of aid decision-making method based on big data according to claim 1, it is characterized in that, to data results
The patterned form being shown includes pie chart, block diagram, curve map and list.
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| CN107451195A (en) * | 2017-07-03 | 2017-12-08 | 三峡大学 | One kind is based on the visual war game simulation system of big data |
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| CN112380251A (en) * | 2020-11-17 | 2021-02-19 | 北京航空航天大学 | Multi-decision and data retrieval method based on data space |
| CN113297196A (en) * | 2021-07-28 | 2021-08-24 | 深圳市爱云信息科技有限公司 | Intelligent agricultural AIOT distributed big data storage platform |
| CN116910607A (en) * | 2023-06-21 | 2023-10-20 | 河北志晟信息技术股份有限公司 | Grassroots social governance data integration decision analysis method and system based on big data |
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