CN102591929A - Library data processing system and data processing method thereof - Google Patents

Abstract

The invention provides a library data processing system and a processing method of the system. The library data processing system comprises a data acquisition subsystem, a statistical operating subsystem, a data evaluating and processing subsystem and an output processing subsystem, wherein the data acquisition subsystem comprises a data frame module, a data filling and reporting module and a data verification module, and is used for collecting the data of an external library information database; the statistical operating subsystem comprises a data processing module and a graphic processing module, and is used used for statistically processing the library information output by the data acquisition subsystem; the data evaluating and processing subsystem comprises a transverse item processing module, a longitudinal item processing module and a comprehensive processing module; and the output processing subsystem comprises a command type library module, a command processing module and a commend result output module, and is used for processing the information output by the data evaluating and processing subsystem according to the command data input by an external command database.

Description

A kind of library data handling system and data processing method thereof

Technical field

The present invention relates to a kind of library application system, relate in particular to a kind of library data handling system and data processing method thereof.

Background technology

Since the nineties in last century; The library is set up relevant issues such as estimating management system both at home and abroad and carried out certain research argumentation; Wherein, Shi Guohong " academic library service quality assessment indicator system construction " proposes the utilization Kano model and separates out methods such as Reader's Demand index; Huang Youjun " libraries of the universities' Sustainable Development Evaluation is handled index system and made up research " utilizes analytical hierarchy process that libraries of the universities' Sustainable Development Evaluation is handled index system and makes up research; Zhao Liangying " Research on Index System is handled in the compound library information resources evaluation based on multi-layer fuzzy comprehensive "; Set up index system based on the compound library resource evaluation of multi-layer fuzzy comprehensive model; And combined to confirm that each item index is to weighted value of general objective etc. to other user investigation methods with analytical hierarchy process; But; All systematically do not adopt the software and hardware system that library system is carried out integrated management both at home and abroad, the information clutter in each library disperses, and can't realize estimating processing and wait operation.

And foreign study present situation and trend mainly concentrate on the positive research and the applied research aspect of nonsystematic platform condition; The comprehensive performance research method of external academic library construction and development aspect is discussed with report many; Since the seventies in last century; From external academic library educational circles the appraisement system of building the library is constantly guided into deeply; And a lot of inspiration of the appraisement system that gives global academic library construction and development, but still do not realize robotization and intelligentized library data handling system.

In the prior art,, only be used for the brass tacks data of regional libraries of the universities such as the statistical computation whole nation or Hainan Province though also have libraries of the universities factual database system; Can not automatic time gather the various information in library, also do not handle accordingly and analyze, in practical application; The information in library is still mixed and disorderly; Realize that by manual work workload is big, the not reproducible statistics that also is difficult to.

Prior art also has the intellectuality statistics of the e-sourcing that comes from the exploitation of the EQUNIOX of European Union project and the statistics that the measurement index system can generate relevant library automation automatically; But under the external network environment; The growth data analysis of log file but often is subject to its technology and method Tianjin factor; The intelligent network statistics can't cover 3 aspects such as market utilization rate, user's service location and the resource service etc. of e-sourcing, compares with other user investigations, and the external mode of telephone poll that adopts usually reduces system mistake; Improve the representativeness of random searching; So that for management and the reliable foundation of decision-making raising, reliable inadequately as much as possible, can't realize automatic, intelligentized library's information disposal system but such system is still.

Therefore, for data aggregation, statistical calculation, analysis and management system, it is extremely urgent with the data aggregation and the report mechanism of data evaluation processing to form standardization and normalized library networks statistics.

What the present invention adopted is to build guide and estimate the method that document information content is known, builds together, shared to the index calmodulin binding domain CaM altogether of handling; At present; Library's comprehensive performance evaluation study only is in the theoretical research aspect, and library's data handling system at home and abroad university be almost equal to zero especially, but in books intelligence work steering committee of the Ministry of Education of the state " 12 " planning, mention and will further improve library's factual data library facility and application; The factual data library facility is changed to the overall evaluation system function; So, during " 12 ", realize the academic library great-leap-forward development, just need to improve the service efficiency and each shop resource distribution of optimization of documentation & info; The present invention can provide strong support for reform in education and teaching, promotes the robotization renewal and the intelligent management of library's information data.

Different with prior art is; The present invention at first sets up and is used for the data acquisition subsystem that automatic time is gathered outside library's information data; Realization is obtained each library's data automatically, and can make a report on statistics from network simultaneously, accomplishes making a report on and gathering automatically of data; Secondly, adopt the present invention that data such as library's construction, management and service are unified standard arrangement, statistical calculation, graphics process, step analysis, command process and intelligence output, thereby comprehensively, accurately, systematically obtain the library's development situation; Have again; The present invention carries out data preparation, statistics, analysis, evaluation processing and intelligent output processing to each library's construction situation; The gap of pointing out to exist is with not enough; For the each item in all types of libraries of development and perfection function index provides effective feedback, have and be different from simple evaluation disposal system and factual database is made a report on the self-learning function of system; Simultaneously; Can also be in usable range directly provide the data sheet of each shop construction situation, calendar year statistics data relatively to wait tracing analysis and evaluation map, intuitively, for competent authorities carry out data statistics, analysis, evaluation processing and improvement reference is provided visually to data result.

The present invention includes data acquisition subsystem, statistical calculation subsystem, data evaluation processing subsystem and output processing subsystem; Can gather library's information data, specification handles automatically and dynamically generate on the basis of library statistics data; Can also draw comprehensively to library's data from horizontal subitem, vertical subitem and comprehensively handling, the achievement data storehouses, library of different angles, further; Can also realize that data are made a report on data and preserve automatically; And then gather the information in each library comprehensively, exactly automatically, and the information of gathering is added up, analyzed and handles, realizes automatic, intelligentized library's information management and export.

Preferably, said data are made a report on module and are comprised the ID unit, library that is used to identify its identity.

The present invention further adopts above-mentioned technical characterictic, and its advantage is, can gather library's information data, specification handles automatically and dynamically generate the library statistics data; Library's data from horizontal subitem, vertical subitem and comprehensively handling, are drawn comprehensively, the achievement data storehouses, library of different angles, more further; Can also realize that data are made a report on data and preserve automatically; And then gather the information in each library comprehensively, exactly automatically, and the information of gathering is added up, analyzed and handles, realizes automatic, intelligentized library's information management and export; On this basis; Said data are made a report on module and are comprised the ID unit, library that is used to identify its identity, that is, and and the identity of the library's data that can Recognition and Acquisition arrive source; Automatically reflect concrete Data Source, more help the robotization processing and the intelligent management of library's information data.

Preferably, said library's information database is sent to the data check module with the library's temporary information that obtains, and verification is through then feeding back to the library's information database, as the final information in library.

The present invention further adopts above-mentioned technical characterictic, and its advantage is, can gather library's information data, specification handles automatically and dynamically generate the library statistics data; Library's data from horizontal subitem, vertical subitem and comprehensively handling, are drawn comprehensively, the achievement data storehouses, library of different angles, more further; Can also realize that data are made a report on data and preserve automatically, and then gather the information in each library automatically comprehensively, exactly, discern the identity source of library's data automatically; Be very beneficial for the robotization processing and the intelligent management of library's information, on this basis, said library's information database is sent to the data check module with the library's temporary information that obtains; Verification is through then feeding back to the library's information database, as the final information in library, when the library's temporary information that obtains meets the verification of data check module; Just can feed back library's information database; As the final information in library, can avoid the mistake of information updating, and; The record of Data Update be can also preserve automatically, self-defining output and data statistics are convenient to carry out.

Whether preferably, said data check module comprises Tip element, be used to point out the data of collection to conform to predefined span.

Wherein, Data acquisition subsystem can be gathered the data in library automatically, and automatic realization being made a report on and preserving data, and said data check module will be made a report on qualificationss such as type and span according to related data; Carry out discriminating data and verification; A kind of embodiment of the present invention is that data check is errorless, then preserves automatically, and points out successfully; If data are lack of standardization, will eject dialog box, send the prompting of " data do not conform to standard, please carefully check data then fill in ".

The present invention further adopts above-mentioned technical characterictic, and its advantage is, can gather library's information data, specification handles automatically and dynamically generate the library statistics data; Library's data from horizontal subitem, vertical subitem and comprehensively handling, are drawn comprehensively, the achievement data storehouses, library of different angles, more further; Can also realize that data are made a report on data and preserve automatically; And then gather the information in each library comprehensively, exactly automatically, and the information of gathering is added up, analyzed and handles, realizes automatic, intelligentized library's information management and export; On this basis; Whether said data check module comprises Tip element, be used to point out the data of collection to conform to predefined span, improves the human oriented design of library's information disposal system.

Preferably, said statistical calculation subsystem adopts the fuzzy judgment matrix unit of three-fies system framework to confirm the weight of image data.

Wherein, the statistical calculation subsystem is being set up on the fuzzy judgment matrix unit basis of three-fies system framework, confirms to estimate each level weight coefficient of handling index, promptly confirms fuzzy weight vectors, is used for the Various types of data that Statistical Library gathers; The statistical calculation subsystem module is handled index to the evaluation of three grades in library, secondary and one-level, according to each level weight coefficient, calculates respectively and adds up, and generates library's seniority among brothers and sisters dissimilar, different indexs; Laterally subitem estimate processing module to one-level, secondary and three grades etc. in detail the quantitative evaluation result of index carry out qualitative evaluation respectively and handle, its estimate the content sources handled in the library achievement data storehouse; The command result output module solves three grades and estimates the automatic generation output of processing result, and the present invention can adopt the automatic generation of the dynamic method of formation of combination deduction to estimate the output of handling correspondence for three grades, can comprise opinions and suggestions.

The present invention further adopts above-mentioned technical characterictic, and its advantage is, can gather library's information data, specification handles automatically and dynamically generate the library statistics data; To library's data from horizontal subitem, vertically the subitem and comprehensively handle; Draw achievement data storehouses, library comprehensive, different angles, realize automatic, intelligentized library's information management and output, on this basis; Said statistical calculation subsystem adopts the fuzzy judgment matrix unit of three-fies system framework to confirm the weight of image data; More accurately library's data are handled in layering, form the order data storehouse, intelligent output data result.

Whether up to standard preferably, said pattern process module comprises indexing unit, be used for mark index situation.

The present invention further adopts above-mentioned technical characterictic; Its advantage is, can gather library's information data, specification handles automatically and dynamically generate the library statistics data, to library's data from horizontal subitem, vertical subitem and comprehensively handling; Draw achievement data storehouses, library comprehensive, different angles; Whether up to standard realize management of automatic, intelligentized library's information and output, said pattern process module comprises indexing unit, be used for mark index situation; A kind of embodiment of the present invention adopts that Green Marker is up to standard, red-label is below standard, intuitively reflects the index situation.

The present invention also provides a kind of library's data processing method that adopts above-mentioned library data handling system, comprises the steps:

Data acquisition step is gathered outside library's information data of database, comprises following substep: the data framework substep that data framework is provided; The data that propose requirements for access to this library's information database are made a report on substep and the data check substep to being handled by the library's information of this library's information database input;

The statistical calculation step; Be used for by the library's information of said data acquisition subsystem output and carry out statistical treatment; Comprise following substep: deal with data information also is sent to statistical report form outside library statistics data of database is handled substep and process graphics information and statistical report form is sent to the graphics process substep of outside library statistics database;

The data evaluation treatment step; The library statistics operational data of said statistical calculation subsystem output is handled and result is sent to outside achievement data storehouse, library; Comprise following substep: vertical subitem that the result that the horizontal subitem to this library statistics operational data is handled handles substep, handle substep to said horizontal subitem handles is handled substep and said vertical subitem is handled the overall treatment module that the substep result handles; And,

The output treatment step; Order data according to the order data storehouse of outside is imported is handled the information of being exported by said data evaluation processing subsystem; Comprise following substep: to this order data storehouse obtain the command type storehouse substep of order, command process substep that the result of said command type storehouse substep is handled and the result of said command process substep handled and command processing result delivered to the command result output substep in this order data storehouse.

The present invention realizes gathering automatically the data in all types of libraries; Simultaneously can make a report on statistics from network; Accomplish all types of libraries data and make a report on and gather automatically, combined with hardware module and software steps are carried out standard arrangement, statistical calculation, evaluation processing and output to the data of obtaining, thereby comprehensively, accurately, systematically reflect the library's development situation; For library's construction and development provide the evaluation and test data; From horizontal subitem, vertically subitem and overall target are set up perfect achievement data storehouse, library, can carry out statistical and output directly perceived to data over the years according to user's request, have broken through the limitation of existing library factual database; Introduce multiple different treatment step; Adopted the technological means such as fuzzy classification, Analysis of Hierarchy Structure and the dynamic generation of combination deduction that combine library's actual conditions, improved the service efficiency of library's document information, helped distributing rationally each Library Resources.

Preferably, said data evaluation treatment step adopts the data framework that quantizes to set up three grades of indexs, to pass judgment on its border threshold values.

Said data evaluation processing subsystem can correspondingly adopt following steps on the whole:

Step 1 is confirmed to estimate the processing set of factors and is collected with confirming to estimate to handle, and sets up and passs rank type hierarchical structure for three grades based on the library of fuzzy classification model;

Step 2 is confirmed the fuzzy judgment matrix unit of three-fies system framework;

Step 3 adopts the step analysis structure to confirm to estimate the weight coefficient of handling index, promptly confirms fuzzy weight vectors;

Step 4 is set up the model based on the step analysis structure, utilizes the fuzzy classification of estimating deal with data foundation to confirm the threshold boundaries of evaluation index;

Step 5 is carried out from horizontal subitem, the vertically subitem and statistics, analysis and the processing of overall target data through statistical calculation subsystem and data evaluation processing subsystem;

Step 6 is handled the data in all libraries automatically, draws gross score automatically with reference to estimating processing quantification of targets definite value, weight coefficient and Analysis of Hierarchy Structure, calculates the quantitative evaluation process result of one-level, secondary and three grades of index classifications.

The present invention further adopts above-mentioned technical characterictic; Its advantage is; Can accomplish all types of libraries data and make a report on and automatically gather, standard arrangement, statistical calculation, evaluation that combined with hardware module and software steps are carried out three grades of indexs to the data of obtaining are handled and output, from horizontal subitem, vertically itemize and overall target is set up three grades of achievement data storehouses, perfect library; Comprehensively, the branch rank is located in reason library data; Realize intellectualized management, improved the service efficiency of library's document information, help distributing rationally each Library Resources.

Preferably, the said data framework of setting up three grades of indexs comprises the steps:

Set up the hierarchical structure step, quantitatively evaluating is handled index, sets up multi-level dynamic hiberarchy;

The fuzzy classification step adopts fuzzy tree-shaped classification to set the span of each quantitative evaluation process, sets up boundary threshold, the hierarchical structure of data judge and makes a report on type;

The form step is made a report in generation, said make a report on type be set to generation type automatically, logical type, single type selecting, multiselect type, numeric type and explanatory note type totally 6 kinds of normalized data make a report on form;

Form the data framework step, estimate to three grades by first class index and handle the data-switching that quantification of targets is successively realized quantitative refinement, form and preserve the data framework of three grades of indexs;

The output step is made a report on type based on data and is exported the evaluation processing that is used to make a report on each concrete data automatically.

The present invention further adopts above-mentioned technical characterictic; Its advantage is; Can accomplish all types of libraries data makes a report on and gathers automatically; Set up more accurate three grades of achievement data frameworks, standard arrangement, statistical calculation, evaluation that combined with hardware module and software steps are carried out three grades of indexs to the data of obtaining are handled and output, from horizontal subitem, vertically subitem and overall target are set up three grades of achievement data storehouses, perfect library; Comprehensively, the branch rank is located in reason library data, further realizes intellectualized management again.

Preferably, said output treatment step also comprises the assist command substep, comprising:

Build hierarchical structure step by step, confirm to estimate the processing level of hierarchy, set up qualitative data from bottom to top, combination is deduced and is dynamically generated the hierarchical data of last layer, and realization is quantitatively passed rank type hierarchical structure to three grades of qualitative conversion;

Set up assist command step by step, combination is deduced and is estimated the qualitative hiberarchy data of handling, and dynamically generates the third level and estimates the assist command collection of handling;

Set up the auxiliary characteristics collection step by step, dynamically estimate the auxiliary characteristics collection of handling in the generation second level according to setting up the corresponding step by step assist command combination deduction of assist command;

Set up the auxiliary evaluation processing and collect step by step, according to setting up the auxiliary evaluation processing collection that the combination step by step of auxiliary characteristics collection is deduced and dynamically generated first order evaluation processing;

Output is set up three grades of assist command storehouses of passing rank type hierarchical structure step by step, exports the order data storehouse to, and feeds back to command type storehouse substep.

The present invention further adopts above-mentioned technical characterictic, and its advantage is, can accomplish all types of libraries data and make a report on and gather automatically; Combined with hardware module and software steps carry out to the data of obtaining that standard arrangement, statistical calculation, evaluation are handled and output, from horizontal subitem, vertically subitem and overall target are set up perfect achievement data storehouse, library, comprehensively, branchs rank is located in and manages library's data; Realize intellectualized management; On this basis, said output treatment step also comprises the assist command substep, and said assist command substep is used to feed back assist command storehouse to command type library module; The contrast command instruction is carried out more accurate command process.

In the prior art,, only be used for the brass tacks data of regional libraries of the universities such as the statistical computation whole nation or Hainan Province though also have libraries of the universities factual database system; Can not automatic time gather the various information in library, also do not handle accordingly and analyze, in practical application; The information in library is still mixed and disorderly; Realize that by manual work workload is big, the not reproducible statistics that also is difficult to.

Prior art also has the intellectuality statistics of the e-sourcing that comes from the exploitation of the EQUNIOX of European Union project and the statistics that the measurement index system can generate relevant library automation automatically; But under the external network environment; The growth data analysis of log file but often is subject to its technology and method Tianjin factor; The intelligent network statistics can't cover 3 aspects such as market utilization rate, user's service location and the resource service etc. of e-sourcing, compares with other user investigations, and the external mode of telephone poll that adopts usually reduces system mistake; Improve the representativeness of random searching; So that for management and the reliable foundation of decision-making raising, reliable inadequately as much as possible, can't realize automatic, intelligentized library's information disposal system but such system is still.

Therefore, for data aggregation, statistical calculation, analysis and management system, it is extremely urgent with the data aggregation and the report mechanism of data evaluation processing to form standardization and normalized library networks statistics.

What this example adopted is to build guide and estimate the method that document information content is known, builds together, shared to the index calmodulin binding domain CaM altogether of handling; At present; Library's comprehensive performance evaluation study only is in the theoretical research aspect, and the library's information disposal system at home and abroad university be almost equal to zero especially, but in books intelligence work steering committee of the Ministry of Education of the state " 12 " planning, mention and will further improve library's factual data library facility and application; The factual data library facility is changed to the overall evaluation system function; So, during " 12 ", realize the academic library great-leap-forward development, just need to improve the service efficiency and each shop resource distribution of optimization of documentation & info; This example can provide strong support for reform in education and teaching, promotes the robotization renewal and the intelligent management of library's information data.

Different with prior art is; This example is at first set up and is used for the data acquisition subsystem that automatic time is gathered outside library's information data; Realization is obtained each library's data automatically, and can make a report on statistics from network simultaneously, accomplishes making a report on and gathering automatically of data; Secondly, adopt this example that data such as library's construction, management and service are unified standard arrangement, statistical calculation, graphics process, step analysis, command process and intelligence output, thereby comprehensively, accurately, systematically obtain the library's development situation; Have again; This example is carried out data preparation, statistics, analysis, evaluation processing and intelligent output processing to each library's construction situation; The gap of pointing out to exist is with not enough; For the each item in all types of libraries of development and perfection function index provides effective feedback, have and be different from simple evaluation disposal system and factual database is made a report on the self-learning function of system; Simultaneously; Can also be in usable range directly provide the data sheet of each shop construction situation, calendar year statistics data relatively to wait tracing analysis and evaluation map, intuitively, for competent authorities carry out data statistics, analysis, evaluation processing and improvement reference is provided visually to data result.

Mistake made a report in order of magnitude mistake, numeral and letter during this routine said data check module can be discerned and make a report on; And give the literal prompting and correctly make a report on prompting, its data are made a report in the module can comprise following tables of data: compositions such as index table, index column table, index detailed rules and regulations table, grade form, library's base data table, library's table and library's tables of data.

Wherein, said index table comprises index name, index introduction, user mode, maker, brings into use the time and finishes service time etc., is used to write down different evaluation indexes; Index column table comprises nodename, node content, sub-column number, put in order and pointer type etc., sets the evaluation index, span of minimum unit etc.; Index detailed rules and regulations table comprises detailed rules and regulations classification, operational method, unit detailed rules and regulations guidance and score value etc., sets the quantitatively evaluating processing parameter of each item index column; Library's base data table comprises library building area, library's type, Library Reading seat, reader's sum, the library basic datas such as number, the professional number of information, computer-related speciality number of delimiting the organizational structure, and basic data can generate related data automatically according to the setting of index column; Library's table comprises library's type, library's network address, date created, address, postcode, contact person and contact method etc.; Library's tables of data comprises library's numbering, index system numbering, index numbering, index score value etc., each association of the library that record acquisition arrives.

This example can also be provided with keeper and user's pattern; As shown in Figure 3; After keeper's login system, handle, set to estimate and handle index name and particular content according to perfect index; Content is set up evaluation index column, first class index system column, two-level index system column and three grades of index system columns respectively according to each other index of level.

Such as, can comprise: set library's index system and index column; Set library's indexs at different levels; According to the indexs at different levels that configured and library's basic data, generate library's master data automatically and make a report on the page, automatic data collection or make a report on data; After accomplishing the collection of library's basic data and making a report on, handle automatically and add up according to index, and be kept in real time in library's tables of data.

This example comprises data acquisition subsystem, statistical calculation subsystem, data evaluation processing subsystem and output processing subsystem; Can gather library's information data, specification handles automatically and dynamically generate on the basis of library statistics data; Can also draw comprehensively to library's data from horizontal subitem, vertical subitem and comprehensively handling, the achievement data storehouses, library of different angles, further; Can also realize that data are made a report on data and preserve automatically; And then gather the information in each library comprehensively, exactly automatically, and the information of gathering is added up, analyzed and handles, realizes automatic, intelligentized library's information management and export.

Described each module of this example is the functional module of combined with hardware and software realization.

Summary of the invention

Technical matters to be solved by this invention provides a kind of library's data handling system that comprises data acquisition subsystem; The information of gathering each library is automatically added up, is analyzed and handles; Realize automatic, intellectualized management, and its information processing method is provided.

To this, the present invention provides a kind of library data handling system, comprising:

Data acquisition subsystem; Be used to gather outside library's information data of database; Comprise: be used to provide the data framework module of data framework, be connected the data that are used for proposing requirements for access with said data framework module and make a report on module, and make a report on module with said data and is connected the data check module that the library's information of being imported by this library's information database is handled to this library's information database;

The statistical calculation subsystem; Be used for by the library's information of said data acquisition subsystem output and carry out statistical treatment; Comprise: be used for deal with data information and statistical report form is sent to outside library statistics data of database processing module and is used for process graphics information and statistical report form is sent to the pattern process module of outside library statistics database;

The data evaluation processing subsystem; Be used for the library statistics operational data of said statistical calculation subsystem output is handled and result is sent to outside achievement data storehouse, library; Comprise: the horizontal subitem processing module that is used for this library statistics operational data is handled, being connected with said horizontal subitem processing module is used for vertical subitem processing module that this library statistics operational data is handled, with the overall treatment module that is connected with said vertical subitem processing module; And,

The output processing subsystem; The order data that is used for importing according to the order data storehouse of outside is to being handled by the information of said data evaluation processing subsystem output; Comprise: the command type library module that is connected with this order data storehouse, the command processing module that is connected with said command type library module are connected and command processing result are delivered to the command result output module in this order data storehouse with said command processing module.

The present invention includes 4 sub-systems: data acquisition subsystem, statistical calculation subsystem, data evaluation processing subsystem and output processing subsystem.

Wherein, Said data acquisition subsystem is used for corresponding the evaluation and handles the data framework module that index forms; Realized to the library's information data automatic collecting with obtain, this process is set up the fuzzy classification model, will estimate to handle the index input space and be divided into a plurality of evaluations to handle corresponding fuzzy regional; Confirm the fuzzy classification of fuzzy region with tree-shaped sorting technique; Fuzzy classification is handled with nondimensionalization estimate handling the normalization of classifying of required data, generates to be used to estimate and handles the boundary threshold of differentiating, to satisfy the demand to data verification differentiation.

Said data are made a report on module and automatic generation type, logical type, single type selecting, multiselect type, numeric type and 6 normalized numbers of explanatory note type are set according to making a report on form, are convenient to the standardization processing that data are made a report on; The recognition function module that said data check module is the data acquisition correctness; Preestablish span; The mistake or the dimension mistake of the order of magnitude appears in prompting; Said data check module can also be provided with data and make a report on the state recognition function, differentiate column whether fill in, whether imperfect or do not fill in etc.

Said data check module is provided with numeral and alphabetical recognition function; Can eliminate the mistake or the dimension mistake of making a report on very effectively; The preservation unit is made a report in said data acquisition subsystem setting, and platform will be made a report on qualificationss such as type and span according to related data, carry out discriminating data and verification; Data check is errorless, then preserves automatically.

Said statistical calculation subsystem comprises data operation module and pattern process module; The statistical calculation subsystem is according to the data framework module, adopts to pass the rank type and realize the statistics of multilayered structure and gather, and can add up respectively and gathers from three grades, secondary and one-level level; Generate all kinds of ranking lists and statistical report form at last through data operation, graphics process; Ranking data and form that said statistical calculation subsystem generates all can derive, print, and when data acquisition subsystem obtains or revises related data, said statistical calculation subsystem will recomputate its corresponding statistics automatically; Generate chart, real-time update library statistics database.

In the statistical calculation subsystem, the statistics of data seniority among brothers and sisters is not limited to work as annual data, also can be used for the seniority among brothers and sisters toward annual data, when the data of needs seniority among brothers and sisters were same year, its zero-time and requirement closing time were consistent; Said pattern process module is used for the result of statistical summaries data, adopts at least aly in 3-D histogram, two-dimensional histogram, pie chart, curve map or the broken line graph to present patterned mode and export demonstration, is convenient to intuitively show the situation of each item index; Said statistical calculation subsystem has adopted comparing unit, can add up automatically to generate library users and build data up to standard and data not up to standard in the evolution, as one of the content in library statistics database and achievement data storehouse, library.

Said data evaluation processing subsystem comprises horizontal subitem processing module, vertically itemize processing module and overall treatment module; The data evaluation processing subsystem is based upon on fuzzy classification model and the Analysis of Hierarchy Structure model based; Adopt software and hardware to make up the automatic Evaluation system for handling to data, the horizontal subitem that can inquire about, obtain the library is in real time estimated result, vertically subitem is estimated result and overall treatment result.

Laterally subitem evaluation processing module is carried out qualitative processing respectively to the data of detailed indexs at different levels, and the content sources that evaluation is handled is the achievement data storehouse in the library; Vertically subitem is estimated processing module combination library data statistics operation result over the years, itemizes after the comparative analysis to estimate and handles; The overall treatment module is used for generating the evaluation mabage report; A kind of embodiment of the present invention does; Estimate mabage report and adopt unified statistical report template: first's content is the basic data statistics of all library users, comprises house area, paper resources, e-sourcing, funds expenditure etc.; The second portion content is statistical study, calculates the data up to standard and data not up to standard of the construction and development of all library users; The third part content is laterally subitem, vertically subitem and overall treatment result, this first, second with the third part content respectively by data acquisition subsystem, statistical calculation subsystem and the generation of data evaluation processing subsystem.

Said output processing subsystem comprises command type library module, command processing module and command result output module; The output processing subsystem is used for intelligence output; Be convenient to aid decision making; Can carry out intelligent decision to the quantitative conclusion that statistical calculation subsystem and data evaluation processing subsystem draw, feed back automatically.

The command type library module erects a library to estimate and handles index corresponding command typelib; Realize quantitative conversion to qualitative processing; And according to quantitative statistics and evaluation result; Automatically generate the corresponding command database, intelligently provide automatic opinion and resolution and suggestion, be convenient to other user's aid decision makings.

The present invention is gathering library's information data, specification handles automatically and is dynamically generating on the basis of library statistics data; Can also realize that data are submitted to and data are preserved automatically; The information of gathering each library is automatically added up, is analyzed and handles, and realizes automatically, intellectualized management and output.

Description of drawings

Fig. 1 is the structural representation of an embodiment of the present invention;

Fig. 2 is the structural representation of the another kind of embodiment of the present invention;

Fig. 3 is the workflow diagram of the another kind of embodiment of the present invention;

Fig. 4 is the data flow figure of the another kind of embodiment of the present invention;

Fig. 5 is the data flow figure of the data acquisition subsystem of the another kind of embodiment of the present invention;

Fig. 6 is the data flow figure of the statistical calculation subsystem of the another kind of embodiment of the present invention;

Fig. 7 is the data flow figure of the data evaluation processing subsystem of the another kind of embodiment of the present invention;

Fig. 8 is the data flow figure of the output processing subsystem of the another kind of embodiment of the present invention.

Embodiment

Below in conjunction with accompanying drawing, more excellent embodiment of the present invention is done further detailed description:

Embodiment 1:

As shown in Figure 1, this example provides a kind of library data handling system, comprising:

Data acquisition subsystem; Be used to gather outside library's information data of database; Comprise: be used to provide the data framework module of data framework, be connected the data that are used for proposing requirements for access with said data framework module and make a report on module, and make a report on module with said data and is connected the data check module that the library's information of being imported by this library's information database is handled to this library's information database;

The statistical calculation subsystem; Be used for by the library's information of said data acquisition subsystem output and carry out statistical treatment; Comprise: be used for deal with data information and statistical report form is sent to outside library statistics data of database processing module and is used for process graphics information and statistical report form is sent to the pattern process module of outside library statistics database;

The data evaluation processing subsystem; Be used for the library statistics operational data of said statistical calculation subsystem output is handled and result is sent to outside achievement data storehouse, library; Comprise: the horizontal subitem processing module that is used for this library statistics operational data is handled, being connected with said horizontal subitem processing module is used for vertical subitem processing module that this library statistics operational data is handled, with the overall treatment module that is connected with said vertical subitem processing module; And,

The output processing subsystem; The order data that is used for importing according to the order data storehouse of outside is to being handled by the information of said data evaluation processing subsystem output; Comprise: the command type library module that is connected with this order data storehouse, the command processing module that is connected with said command type library module are connected and command processing result are delivered to the command result output module in this order data storehouse with said command processing module.

As shown in Figure 2, this example comprises 4 sub-systems: data acquisition subsystem, statistical calculation subsystem, data evaluation processing subsystem and output processing subsystem, and to more concrete being described below of each sub-systems.

Wherein, Said data acquisition subsystem is used for corresponding the evaluation and handles the data framework module that index forms; Realized to the library's information data automatic collecting with obtain, this process is set up the fuzzy classification model, will estimate to handle the index input space and be divided into a plurality of evaluations to handle corresponding fuzzy regional; Confirm the fuzzy classification of fuzzy region with tree-shaped sorting technique; Fuzzy classification is handled with nondimensionalization estimate handling the normalization of classifying of required data, generates to be used to estimate and handles the boundary threshold of differentiating, to satisfy the demand to data verification differentiation.

Tree-shaped be categorized as division once produce one with the corresponding division of fuzzy region, set up the corresponding specific evaluation index fuzzy region of fuzzy rule of evaluation index detailed rules and regulations set thus, the said tree-shaped sorting technique of this example adopts the triangle subordinate function, use μ ₁(), μ ₂(), μ _c() } expression cIndividual fuzzy set with u _Ij ( j=1 ..., d i=1 ..., c). u _Ij Be dIndividual target data exists cDegree of membership on the individual fuzzy set.

Said data are made a report on module and automatic generation type, logical type, single type selecting, multiselect type, numeric type and 6 normalized numbers of explanatory note type are set according to making a report on form, are convenient to the standardization processing that data are made a report on; The recognition function module that said data check module is the data acquisition correctness; Preestablish span; The mistake or the dimension mistake of the order of magnitude appears in prompting; Said data check module can also be provided with data and make a report on the state recognition function, differentiate column whether fill in, whether imperfect or do not fill in etc.

Said data check module is provided with numeral and alphabetical recognition function; Can eliminate the mistake or the dimension mistake of making a report on very effectively; The preservation unit is made a report in said data acquisition subsystem setting, and platform will be made a report on qualificationss such as type and span according to related data, carry out discriminating data and verification; Data check is errorless, then preserves automatically.

Said statistical calculation subsystem comprises data operation module and pattern process module; The statistical calculation subsystem is according to the data framework module, adopts to pass the rank type and realize the statistics of multilayered structure and gather, and can add up respectively and gathers from three grades, secondary and one-level level; Generate all kinds of ranking lists and statistical report form at last through data operation, graphics process; Ranking data and form that said statistical calculation subsystem generates all can derive, print, and when data acquisition subsystem obtains or revises related data, said statistical calculation subsystem will recomputate its corresponding statistics automatically; Generate chart, real-time update library statistics database.

In the statistical calculation subsystem, the statistics of data seniority among brothers and sisters is not limited to work as annual data, also can be used for the seniority among brothers and sisters toward annual data, when the data of needs seniority among brothers and sisters were same year, its zero-time and requirement closing time were consistent; Said pattern process module is used for the result of statistical summaries data, adopts at least aly in 3-D histogram, two-dimensional histogram, pie chart, curve map or the broken line graph to present patterned mode and export demonstration, is convenient to intuitively show the situation of each item index; Said statistical calculation subsystem has adopted comparing unit, can add up automatically to generate library users and build data up to standard and data not up to standard in the evolution, as one of the content in library statistics database and achievement data storehouse, library.

Said data evaluation processing subsystem comprises horizontal subitem processing module, vertically itemize processing module and overall treatment module; The data evaluation processing subsystem is based upon on fuzzy classification model and the Analysis of Hierarchy Structure model based; Adopt software and hardware to make up the automatic Evaluation system for handling to data, the horizontal subitem that can inquire about, obtain the library is in real time estimated result, vertically subitem is estimated result and overall treatment result.

Laterally subitem evaluation processing module is carried out qualitative processing respectively to the data of detailed indexs at different levels, and the content sources that evaluation is handled is the achievement data storehouse in the library; Vertically subitem is estimated processing module combination library data statistics operation result over the years, itemizes after the comparative analysis to estimate and handles; The overall treatment module is used for generating the evaluation mabage report; A kind of embodiment of this example does; Estimate mabage report and adopt unified statistical report template: first's content is the basic data statistics of all library users, comprises house area, paper resources, e-sourcing, funds expenditure etc.; The second portion content is statistical study, calculates the data up to standard and data not up to standard of the construction and development of all library users; The third part content is laterally subitem, vertically subitem and overall treatment result, this first, second with the third part content respectively by data acquisition subsystem, statistical calculation subsystem and the generation of data evaluation processing subsystem.

Said output processing subsystem comprises command type library module, command processing module and command result output module; The output processing subsystem is used for intelligence output; Be convenient to aid decision making; Can carry out intelligent decision to the quantitative conclusion that statistical calculation subsystem and data evaluation processing subsystem draw, feed back automatically.

The command type library module erects a library to estimate and handles index corresponding command typelib; Realize quantitative conversion to qualitative processing; And according to quantitative statistics and evaluation result; Automatically generate the corresponding command database, intelligently provide automatic opinion and resolution and suggestion, also claim other user's aid decision makings.

This example is being gathered library's information data, specification handles automatically and is dynamically being generated on the basis of library statistics data; Can also realize that data are submitted to and data are preserved automatically; The information of gathering each library is automatically added up, is analyzed and handles, and realizes automatically, intellectualized management and output.

Embodiment 2:

Different with embodiment 1 is that these routine said data are made a report on module and comprised the ID unit, library that is used to identify its identity.

This example further adopts above-mentioned technical characterictic, and its advantage is, can gather library's information data, specification handles automatically and dynamically generate the library statistics data; Library's data from horizontal subitem, vertical subitem and comprehensively handling, are drawn comprehensively, the achievement data storehouses, library of different angles, more further; Can also realize that data are made a report on data and preserve automatically; And then gather the information in each library comprehensively, exactly automatically, and the information of gathering is added up, analyzed and handles, realizes automatic, intelligentized library's information management and export; On this basis; Said data are made a report on module and are comprised the ID unit, library that is used to identify its identity, that is, and and the identity of the library's data that can Recognition and Acquisition arrive source; Automatically reflect concrete Data Source, more help the robotization processing and the intelligent management of library's information.

Embodiment 3:

Different with embodiment 2 is, this routine said library's information database is sent to the data check module with the library's temporary information that obtains, and verification is through then feeding back to the library's information database, as the final information in library.

This example further adopts above-mentioned technical characterictic, and its advantage is, can gather library's information data, specification handles automatically and dynamically generate the library statistics data; Library's data from horizontal subitem, vertical subitem and comprehensively handling, are drawn comprehensively, the achievement data storehouses, library of different angles, more further; Can also realize that data are made a report on data and preserve automatically, and then gather the information in each library automatically comprehensively, exactly, discern the identity source of library's data automatically; Be very beneficial for the robotization processing and the intelligent management of library's information, on this basis, said library's information database is sent to the data check module with the library's temporary information that obtains; Verification is through then feeding back to the library's information database, as the final information in library, when the library's temporary information that obtains meets the verification of data check module; Just can feed back library's information database; As the final information in library, can avoid the mistake of information updating, and; The record of Data Update be can also preserve automatically, self-defining output and data statistics are convenient to carry out.

Embodiment 4:

Different with embodiment 1 is whether this routine said data check module comprises Tip element, be used to point out the data of collection to conform to predefined span.

Wherein, Data acquisition subsystem can be gathered the data in library automatically, and automatic realization being made a report on and preserving data, and said data check module will be made a report on qualificationss such as type and span according to related data; Carry out discriminating data and verification; A kind of embodiment of this example is that data check is errorless, then preserves automatically, and points out successfully; If data are lack of standardization, will eject dialog box, send the prompting of " data do not conform to standard, please carefully check data then fill in ".

This example further adopts above-mentioned technical characterictic, and its advantage is, can gather library's information data, specification handles automatically and dynamically generate the library statistics data; Library's data from horizontal subitem, vertical subitem and comprehensively handling, are drawn comprehensively, the achievement data storehouses, library of different angles, more further; Can also realize that data are made a report on data and preserve automatically; And then gather the information in each library comprehensively, exactly automatically, and the information of gathering is added up, analyzed and handles, realizes automatic, intelligentized library's information management and export; On this basis; Whether said data check module comprises Tip element, be used to point out the data of collection to conform to predefined span, improves the human oriented design of library's information disposal system.

This example also is applicable to embodiment 2 and embodiment 3.

Embodiment 5:

Different with embodiment 1 is that this routine said statistical calculation subsystem adopts the fuzzy judgment matrix unit of three-fies system framework to confirm the weight of image data.

Wherein, the statistical calculation subsystem is being set up on the fuzzy judgment matrix unit basis of three-fies system framework, confirms to estimate each level weight coefficient of handling index, promptly confirms fuzzy weight vectors, is used for the Various types of data that Statistical Library gathers; The statistical calculation subsystem module is handled index to the evaluation of three grades in library, secondary and one-level, according to each level weight coefficient, calculates respectively and adds up, and generates library's seniority among brothers and sisters dissimilar, different indexs; Laterally subitem estimate processing module to one-level, secondary and three grades etc. in detail the quantitative evaluation result of index carry out qualitative evaluation respectively and handle, its estimate the content sources handled in the library achievement data storehouse; The command result output module solves three grades and estimates the automatic generation output of processing result, and this example can adopt the automatic generation of the dynamic method of formation of combination deduction to estimate the output of handling correspondence for three grades, can comprise opinions and suggestions.

This example further adopts above-mentioned technical characterictic, and its advantage is, can gather library's information data, specification handles automatically and dynamically generate the library statistics data; To library's data from horizontal subitem, vertically the subitem and comprehensively handle; Draw achievement data storehouses, library comprehensive, different angles, realize automatic, intelligentized library's information management and output, on this basis; Said statistical calculation subsystem adopts the fuzzy judgment matrix unit of three-fies system framework to confirm the weight of image data; More accurately library's data are handled in layering, form the order data storehouse, intelligent output data result.

This example also is applicable to other embodiment of the present invention.

Embodiment 6:

Whether up to standard different with embodiment 1 is, this routine said pattern process module comprises indexing unit, be used for mark index situation.

This example further adopts above-mentioned technical characterictic; Its advantage is, can gather library's information data, specification handles automatically and dynamically generate the library statistics data, to library's data from horizontal subitem, vertical subitem and comprehensively handling; Draw achievement data storehouses, library comprehensive, different angles; Whether up to standard realize management of automatic, intelligentized library's information and output, said pattern process module comprises indexing unit, be used for mark index situation; A kind of embodiment of this example adopts that Green Marker is up to standard, red-label is below standard, intuitively reflects the index situation.

This example also is applicable to other embodiment of the present invention.

Embodiment 7:

This example: a kind of library's data processing method that adopts above-mentioned library data handling system is provided, comprises the steps:

Data acquisition step is gathered outside library's information data of database, comprises following substep: the data framework substep that data framework is provided; The data that propose requirements for access to this library's information database are made a report on substep and the data check substep to being handled by the library's information of this library's information database input;

The statistical calculation step; Be used for by the library's information of said data acquisition subsystem output and carry out statistical treatment; Comprise following substep: deal with data information also is sent to statistical report form outside library statistics data of database is handled substep and process graphics information and statistical report form is sent to the graphics process substep of outside library statistics database;

The data evaluation treatment step; The library statistics operational data of said statistical calculation subsystem output is handled and result is sent to outside achievement data storehouse, library; Comprise following substep: vertical subitem that the result that the horizontal subitem to this library statistics operational data is handled handles substep, handle substep to said horizontal subitem handles is handled substep and said vertical subitem is handled the overall treatment module that the substep result handles; And,

The output treatment step; Order data according to the order data storehouse of outside is imported is handled the information of being exported by said data evaluation processing subsystem; Comprise following substep: to this order data storehouse obtain the command type storehouse substep of order, command process substep that the result of said command type storehouse substep is handled and the result of said command process substep handled and command processing result delivered to the command result output substep in this order data storehouse.

This example realizes gathering automatically the data in all types of libraries; Simultaneously can make a report on statistics from network; Accomplish all types of libraries data and make a report on and gather automatically, combined with hardware module and software steps are carried out standard arrangement, statistical calculation, evaluation processing and output to the data of obtaining, thereby comprehensively, accurately, systematically reflect the library's development situation; For library's construction and development provide the evaluation and test data; From horizontal subitem, vertically subitem and overall target are set up perfect achievement data storehouse, library, can carry out statistical and output directly perceived to data over the years according to user's request, have broken through the limitation of existing library factual database; Introduce multiple different treatment step; Adopted the technological means such as fuzzy classification, Analysis of Hierarchy Structure and the dynamic generation of combination deduction that combine library's actual conditions, improved the service efficiency of library's document information, helped distributing rationally each Library Resources.

This example can also be continued to use keeper and the user's of embodiment 1 pattern, such as: a user is expanded to mOther users of position expand one group of judgment matrix to mThe group judgment matrix through the COMPREHENSIVE CALCULATING of evaluation result is relatively handled, obtains the ordering about index importance, thereby provides the concrete steps of decision-making foundation of quantitative form following.

Steps A, structure compare judgment matrix in twos, adopt 1-9 scaling laws to obtain judgment matrix.Numeral 1-9 explanations iWith respect to index jImportance;

Step B judges the order consistance, if a _Ij ＞1, a _Jk ＞1, can derive a _Ij ＞1, claim that then judgment matrix has the order consistance; Otherwise a _Ik ＜1, claim that judgment matrix does not have the order consistance, give up;

Step C calculates the satisfactory consistency ratio CR, judgment matrix AEvery row element long-pending: M _i =

, right M _i nTh root

=

Carry out normalization and obtain the weight of each index: W _i = /

, ( i=1,2,3 ..., n);

Step D, the weight of the index i that draws according to the judgment matrix of k position index does ( k=1,2,3 ..., m) judgment matrix AEigenvalue of maximum;

Step e, the kThe judgement square of position index A _k Eigenvalue of maximum be ( k=1,2,3 ..., m), the judgment matrix of k position index then A _k The satisfactory consistency ratio:

When CR, explain that judgment matrix meets the satisfactory consistency condition at＜0.1 o'clock; And CR＞0.1 o'clock, explain that then judgment matrix does not meet satisfactory consistency, should give up;

Step F is utilized CRTry to achieve the index relative weighting, ( a＞0, k=1,2,3 ..., m), will P _k Carry out normalization and handle, obtain the relative weighting of index:, parameter aPlay regulating action, among the present invention aValue is 10;

Step G, many indexs index relative weighting confirm that prerequisite is tried to achieve the relative weighting and the index weight of index, just can try to achieve the relative weighting of many indexs index,, right WiCarry out normalization and handle, obtain the relative weighting of many indexs index;

Step H, the comprehensive weight of evaluation index detailed rules and regulations of the present invention is designated as

, wherein xBe the sequence number of the corresponding first class index of these three grades of indexs, yFor being the sequence number of the corresponding two-level index of these three grades of indexs, zFor being the sequence number of three grades of corresponding indexs of these three grades of indexs, therefore,

=

Concrete data evaluation subsystem comprises that step is following:

Step a confirms the factor domain of evaluation object: be provided with PIndividual evaluation index, definition u=| u ₁, u ₂..., u _p|;

Step b, confirm comment grade domain: v=| v ₁, v ₂..., v _p|, i.e. class set, the corresponding fuzzy subset of each grade;

Step c sets up fuzzy relation matrix RTectonic magnitude fuzzy subset is one by one to being estimated things from each factor u _i (1,2 ..., quantize on p), promptly confirm to be estimated the degree of membership (R|ui) of things, and then obtain fuzzy relation matrix the grade fuzzy subset from single factor;

Steps d is confirmed the weight vector of factor of evaluation, A=( a ₁, a ₂..., a _p) weight vector AIn element a _i Be that factor is right in essence u _i The degree of membership of fuzzy operator { to being estimated the important factor of things } is used analytical hierarchy process to confirm the relative importance order between evaluation index, thereby is confirmed weight coefficient, and normalization before synthesizing, that is, ( a _i >=0, i=1,2 ..., n);

Step e, synthetic fuzzy overall evaluation result vector utilizes appropriate operators to incite somebody to action AEstimated things with each RSynthesize, obtain the fuzzy overall evaluation result vector that each is estimated things B

Embodiment 8:

Different with embodiment 7 is that this routine said data evaluation treatment step adopts the data framework that quantizes to set up three grades of indexs, to pass judgment on its border threshold values.

Said data evaluation processing subsystem can correspondingly adopt following steps on the whole:

Step 1 is confirmed to estimate the processing set of factors and is collected with confirming to estimate to handle, and sets up and passs rank type hierarchical structure for three grades based on the library of fuzzy classification model;

Step 2 is confirmed the fuzzy judgment matrix unit of three-fies system framework;

Step 3 adopts the step analysis structure to confirm to estimate the weight coefficient of handling index, promptly confirms fuzzy weight vectors;

Step 4 is set up the model based on the step analysis structure, utilizes the fuzzy classification of estimating deal with data foundation to confirm the threshold boundaries of evaluation index;

Step 5 is carried out from horizontal subitem, the vertically subitem and statistics, analysis and the processing of overall target data through statistical calculation subsystem and data evaluation processing subsystem;

Step 6 is handled the data in all libraries automatically, draws gross score automatically with reference to estimating processing quantification of targets definite value, weight coefficient and Analysis of Hierarchy Structure, calculates the quantitative evaluation process result of one-level, secondary and three grades of index classifications.

This example further adopts above-mentioned technical characterictic; Its advantage is; Can accomplish all types of libraries data and make a report on and automatically gather, standard arrangement, statistical calculation, evaluation that combined with hardware module and software steps are carried out three grades of indexs to the data of obtaining are handled and output, from horizontal subitem, vertically itemize and overall target is set up three grades of achievement data storehouses, perfect library; Comprehensively, the branch rank is located in reason library data; Realize intellectualized management, improved the service efficiency of library's document information, help distributing rationally each Library Resources.

Embodiment 9:

Different with embodiment 8 is that the said data framework of setting up three grades of indexs of this example comprises the steps:

Set up the hierarchical structure step, quantitatively evaluating is handled index, sets up multi-level dynamic hiberarchy;

The fuzzy classification step adopts fuzzy tree-shaped classification to set the span of each quantitative evaluation process, sets up boundary threshold, the hierarchical structure of data judge and makes a report on type;

The form step is made a report in generation, said make a report on type be set to generation type automatically, logical type, single type selecting, multiselect type, numeric type and explanatory note type totally 6 kinds of normalized data make a report on form;

Form the data framework step, estimate to three grades by first class index and handle the data-switching that quantification of targets is successively realized quantitative refinement, form and preserve the data framework of three grades of indexs;

The output step is made a report on type based on data and is exported the evaluation processing that is used to make a report on each concrete data automatically.

This example further adopts above-mentioned technical characterictic; Its advantage is; Can accomplish all types of libraries data makes a report on and gathers automatically; Set up more accurate three grades of achievement data frameworks, standard arrangement, statistical calculation, evaluation that combined with hardware module and software steps are carried out three grades of indexs to the data of obtaining are handled and output, from horizontal subitem, vertically subitem and overall target are set up three grades of achievement data storehouses, perfect library; Comprehensively, the branch rank is located in reason library data, further realizes intellectualized management again.

This routine said data flow figure is as shown in Figure 4, comprises data acquisition 10, statistical calculation 11, estimates processing 12, exports steps such as processing 13 and data check 14; Wherein, Fig. 5 is the data flow figure of this routine data acquisition subsystem; Can find out by this figure; Data acquisition subsystem comprised data framework 101, output-index column numbering index name of tv column, content and Class1 02, assign weight 103, score value 104 and data make a report on substeps such as 105, and with said data check 14 couplings; Fig. 6 is the data flow figure of this routine statistical calculation subsystem, can be found out by this figure, and the statistical calculation subsystem comprises data acquisition 111, substep such as three grades of indexs 112, two-level index 113, first class index 114, data operation 115 and graphics process 116; Fig. 7 is the data flow figure of this routine data evaluation processing subsystem; Can find out that by this figure said data evaluation processing subsystem comprises substeps such as 121, three grades of index evaluations 122 of horizontal subitem evaluation, two-level index evaluation 123, first class index evaluation 124, vertical subitem evaluation 125 and comprehensive evaluation processing 126; Fig. 8 is the data flow figure of this routine output processing subsystem; Can find out that by this figure said output processing subsystem comprises that order data storehouse 131, command process 132, three grades of index combinations deduce 133, the two-level index combination is deduced 134, the first class index combination is deduced 135 and substep such as command result output 136.

Embodiment 10:

Different with embodiment 7 is that this routine said output treatment step also comprises the assist command substep, comprising:

Build hierarchical structure step by step, confirm to estimate the processing level of hierarchy, set up qualitative data from bottom to top, combination is deduced and is dynamically generated the hierarchical data of last layer, and realization is quantitatively passed rank type hierarchical structure to three grades of qualitative conversion;

Set up assist command step by step, combination is deduced and is estimated the qualitative hiberarchy data of handling, and dynamically generates the third level and estimates the assist command collection of handling;

Set up the auxiliary characteristics collection step by step, dynamically estimate the auxiliary characteristics collection of handling in the generation second level according to setting up the corresponding step by step assist command combination deduction of assist command;

Set up the auxiliary evaluation processing and collect step by step, according to setting up the auxiliary evaluation processing collection that the combination step by step of auxiliary characteristics collection is deduced and dynamically generated first order evaluation processing;

Output is set up three grades of assist command storehouses of passing rank type hierarchical structure step by step, exports the order data storehouse to, and feeds back to command type storehouse substep.

This example further adopts above-mentioned technical characterictic, and its advantage is, can accomplish all types of libraries data and make a report on and gather automatically; Combined with hardware module and software steps carry out to the data of obtaining that standard arrangement, statistical calculation, evaluation are handled and output, from horizontal subitem, vertically subitem and overall target are set up perfect achievement data storehouse, library, comprehensively, branchs rank is located in and manages library's data; Realize intellectualized management; On this basis, said output treatment step also comprises the assist command substep, and said assist command substep is used to feed back assist command storehouse to command type library module; The contrast command instruction is carried out more accurate command process.

Above content is to combine concrete preferred implementation to the further explain that the present invention did, and can not assert that practical implementation of the present invention is confined to these explanations.Under the present invention, the those of ordinary skill of technical field, under the prerequisite that does not break away from the present invention's design, also can make some simple deduction or replace, all should be regarded as belonging to protection scope of the present invention.

Claims (10)

1. library's data handling system is characterized in that, comprising:

Data acquisition subsystem; Be used to gather outside library's information data of database; Comprise: be used to provide the data framework module of data framework, be connected the data that are used for proposing requirements for access with said data framework module and make a report on module, and make a report on module with said data and is connected the data check module that the library's information of being imported by this library's information database is handled to this library's information database;

The statistical calculation subsystem; Be used for by the library's information of said data acquisition subsystem output and carry out statistical treatment; Comprise: be used for deal with data information and statistical report form is sent to outside library statistics data of database processing module and is used for process graphics information and statistical report form is sent to the pattern process module of outside library statistics database;

The data evaluation processing subsystem; Be used for the library statistics operational data of said statistical calculation subsystem output is handled and result is sent to outside achievement data storehouse, library; Comprise: the horizontal subitem processing module that is used for this library statistics operational data is handled, being connected with said horizontal subitem processing module is used for this library statistics operational data is handled the processing module of vertically itemizing and the overall treatment module that is connected with said vertical subitem processing module; And,

The output processing subsystem; The order data that is used for importing according to the order data storehouse of outside is to being handled by the information of said data evaluation processing subsystem output; Comprise: the command type library module that is connected with this order data storehouse, the command processing module that is connected with said command type library module are connected and command processing result are delivered to the command result output module in this order data storehouse with said command processing module.

2. library according to claim 1 data handling system is characterized in that, said data are made a report on module and comprised the ID unit, library that is used to identify its identity.

3. library according to claim 2 data handling system; It is characterized in that; Said library's information database is sent to the data check module with the library's temporary information that obtains, and verification is through then feeding back to the library's information database, as the final information in library.

4. according to any described library data handling system of claim 1 to 3, it is characterized in that said data check module comprises Tip element, be used to point out the data of collection whether to conform to predefined span.

5. according to any described library data handling system of claim 1 to 3, it is characterized in that said statistical calculation subsystem adopts the fuzzy judgment matrix unit of three-fies system framework to confirm the weight of image data.

6. according to any described library data handling system of claim 1 to 3, it is characterized in that said pattern process module comprises indexing unit, be used for mark index situation whether up to standard.

7. the library's data processing method that adopts the described library of claim 1 data handling system is characterized in that, comprises the steps:

Data acquisition step is gathered outside library's information data of database, comprises following substep: the data framework substep that data framework is provided; The data that propose requirements for access to this library's information database are made a report on substep and the data check substep to being handled by the library's information of this library's information database input;

The statistical calculation step; Be used for by the library's information of said data acquisition subsystem output and carry out statistical treatment; Comprise following substep: deal with data information also is sent to statistical report form outside library statistics data of database is handled substep and process graphics information and statistical report form is sent to the graphics process substep of outside library statistics database;

The data evaluation treatment step; The library statistics operational data of said statistical calculation subsystem output is handled and result is sent to outside achievement data storehouse, library; Comprise following substep: vertical subitem that the result that the horizontal subitem to this library statistics operational data is handled handles substep, handle substep to said horizontal subitem handles is handled substep and said vertical subitem is handled the overall treatment module that the substep result handles; And,

The output treatment step; Order data according to the order data storehouse of outside is imported is handled the information of being exported by said data evaluation processing subsystem; Comprise following substep: to this order data storehouse obtain the command type storehouse substep of order, command process substep that the result of said command type storehouse substep is handled and the result of said command process substep handled and command processing result delivered to the command result output substep in this order data storehouse.

8. library according to claim 7 data processing method is characterized in that, said data evaluation treatment step adopts the data framework that quantizes to set up three grades of indexs, to pass judgment on its border threshold values.

9. library according to claim 8 data processing method is characterized in that, the said data framework of setting up three grades of indexs comprises the steps:

Set up the hierarchical structure step, quantitatively evaluating is handled index, sets up multi-level dynamic hiberarchy;

The fuzzy classification step adopts fuzzy tree-shaped classification to set the span of each quantitative evaluation process, sets up boundary threshold, the hierarchical structure of data judge and makes a report on type;

The form step is made a report in generation, said make a report on type be set to generation type automatically, logical type, single type selecting, multiselect type, numeric type and explanatory note type totally 6 kinds of normalized data make a report on form;

Form the data framework step, estimate to three grades by first class index and handle the data-switching that quantification of targets is successively realized quantitative refinement, form and preserve the data framework of three grades of indexs;

The output step is made a report on type based on data and is exported the evaluation processing that is used to make a report on each concrete data automatically.

10. library according to claim 7 data processing method is characterized in that, said output treatment step also comprises the assist command substep, comprising:

Build hierarchical structure step by step, confirm to estimate the processing level of hierarchy, set up qualitative data from bottom to top, combination is deduced and is dynamically generated the hierarchical data of last layer, and realization is quantitatively passed rank type hierarchical structure to three grades of qualitative conversion;

Set up assist command step by step, combination is deduced and is estimated the qualitative hiberarchy data of handling, and dynamically generates the third level and estimates the assist command collection of handling;

Set up the auxiliary characteristics collection step by step, dynamically estimate the auxiliary characteristics collection of handling in the generation second level according to setting up the corresponding step by step assist command combination deduction of assist command;

Set up the auxiliary evaluation processing and collect step by step, according to setting up the auxiliary evaluation processing collection that the combination step by step of auxiliary characteristics collection is deduced and dynamically generated first order evaluation processing;

Output is set up three grades of assist command storehouses of passing rank type hierarchical structure step by step, exports the order data storehouse to, and feeds back to command type storehouse substep.

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