CN104133838A - Data processing method and system with system detection function - Google Patents
Data processing method and system with system detection function Download PDFInfo
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- CN104133838A CN104133838A CN201410290085.1A CN201410290085A CN104133838A CN 104133838 A CN104133838 A CN 104133838A CN 201410290085 A CN201410290085 A CN 201410290085A CN 104133838 A CN104133838 A CN 104133838A
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Abstract
The invention discloses a data processing method and system with a system detection function. The data processing method comprises the following steps: 1) collecting data of an application project; 2) reading data in a main data table and each child data table of a project application database, and judging whether the data conforms to requirements; and 3) synchronizing the project data which conforms to the requirements in the step 2) from the project application database to a review database, carrying out three-time screening to the project data which conforms to the requirements, and outputting data of the final winning project stored in a third cache region in the review database. The invention has the data judging advantages that the system automatically extracts duplicate checking factors to carry out complex matching calculation, so that human factors are reduced, the accuracy of a duplicate checking result is improved, the workload of staff is lightened, and working efficiency is greatly improved.
Description
Technical field
The present invention relates to a kind of data processing method and system with system measuring ability.
Background technology
Current scientific and technological reward management project has following shortcoming in data processing:
The data volume of scientific and technological reward management project is large, has a large amount of data to need to process every year, and in the process of processing, the screening of data is reasonable not, in addition, and the function that existing system lacks automatic duplicate checking, automatically processes.
In a large number, the screening difficulty of loaded down with trivial details data is large, processing procedure is reasonable not, original system carries out primary screening to data, screening is according to single, human intervention factor is many, lacks fair and reasonable property.Artificial treatment workload data is large, efficiency is low, and original system need to manually carry out the comparison of consulting of data, inefficiency, and task is heavy.
When declaring scientific and technological reward, the declaration material of making a report on is more, when declaration material fill in for project name or paper treatise title time and project while completing people and patent documentation, need to judge whether to exist the suspicion that repeats application according to title, at present, this work is all by artificial identification, and because the amount of declaration data is large, artificial identification accuracy is inadequate.
Summary of the invention
Object of the present invention is exactly in order to address the above problem, a kind of project application data processing method and system are provided, data judgement advantage of the present invention is the automatic heavy factor of looking into of extracting of system, carry out complex match calculating, reduce human factor, improve the just and correctness of looking into heavy result, alleviate staff's workload, greatly increase work efficiency.
To achieve these goals, the present invention adopts following technical scheme:
A data processing method with system measuring ability, comprises the steps:
Step 1: automatically detect active user by JS script and use browser version, point out for non-IE series browser, and close; Detect and use the browser i.e. system of entering that meets the requirements to carry out data acquisition;
Step 2: the data information memory of the project of declaring of collection is to the buffer area of the webserver, principal computer call the webserver buffer area the project of declaring data message and store the first buffer area of principal computer into; The picture, Word and the PDF document data that gather are stored to the second buffer area of principal computer with document form, document relative path is stored in project application database attachments subdatasheet;
Step 3: principal computer reads the information of the project of declaring in the first buffer area, judges whether data meet the requirements; For photo-document, utilize document path in project application database attachments subdatasheet to call the second buffer area photo-document of principal computer, if declare the information of project and photo-document in project application tables of data, all meet the requirements and just enter step 4, if met, just do not return to step 2;
Step 4: from project application database synchronization to review data storehouse, this synchronizing process is taked one-way synchronization by satisfactory project data in step 3; The information of declaring in review data storehouse is carried out to three screenings, and final data is exported on the browsing pages of server.
In described step 2, be specially: the data directly related with project are stored in the master data sheet of project application storehouse, every corresponding unique bullets of data, store in each subdatasheet of project application storehouse with the data of project indirect correlation, in subdatasheet, to be set to external key associated with master data sheet for unique bullets; In the subdatasheet in declaration data storehouse, also store history item and declare information.
Described directly related data comprise project essential information; The data of indirect correlation comprise project brief, main scientific and technical innovation, third party evaluation, economic results in society, once obtained scientific and technological reward, complete people, the unit of completing, recommend unit suggestion, intellecture property, paper treatise and annex;
Described project essential information comprises: project name, project subject, technical field, item source and affiliated industrial sectors of national economy etc.; Described intellecture property comprises: number of patent application, patent name, inventor and license day; The described people of completing comprises: complete people's name, identification card number and complete people's order.In described step 1, data file layout comprises: tables of data, picture, Word document and PDF document.Be stored as data in different formats, tables of data is convenient to inquiry, statistics, and picture and PDF document are guaranteed data validity, and Word document, for the ease of keeping the original form of data, is convenient to check.
In described step 3, the data of each subdatasheet storage of project application storehouse are carried out participle or directly mated, utilize judge module to judge whether the information of the current project of declaring is project name or paper treatise title, if just enter keyword comparison module, if not, what determine whether project completes people's name and identification card number or intellecture property number again, if so, enters direct matching module.
Utilize keyword comparison module that the project name of the information of the current project of declaring or paper treatise title and history item are declared to another in information and declare the project name of project or the keyword comparison of paper treatise title, if similarity is not less than setting value, judge and repeat, otherwise do not repeat;
Utilizing direct matching module that people's name and identification card number or intellecture property number and history item another project of declaring project in information of declaring that completes of the information project of the current project of declaring is completed to people's name and identification card number or intellecture property number directly mates, if identical judgement repeats, otherwise does not repeat;
Utilize memory module by keyword comparison module and directly matching module judge that the information that does not repeat the project of declaring stores the buffer area of principal computer into, store the information of judging the project of declaring repeating into project application database in principal computer and look into heavily in table.
Described keyword comparison module is declared another in information by the project name of the information of the current project of declaring or paper treatise title and history item and is declared the project name of project or the keyword comparison of paper treatise title, if similarity is not less than setting value, judge and repeat, otherwise do not repeat, detailed process is:
Utilize keyword extracting module to take out current information and history item of declaring project and declare in information, the information of taking out is carried out to participle, the keyword decompositing is stored into respectively in two arrays corresponding to project declaration data storehouse in principal computer;
Utilize keyword matching module to travel through recycle ratio to the keyword in two arrays corresponding to project application database, draw same keyword number and respectively organize keyword number;
According to similarity module, draw the current information of project and the similarity that history item is declared the project information in information of declaring, by this similarity and setting value comparison, if similarity is not less than setting value, judges and repeat, otherwise do not repeat.
Described current information and the history item of declaring project of keyword extracting module taking-up of utilizing declared in information, and the information of taking out is carried out to participle, adopts ShootSearch assembly participle.
Described similarity module, specifically for keyword number size in two arrays corresponding to item compared declaration data storehouse, is taken out less keyword number, with same keyword number, divided by less keyword number, draws similarity.
The direct matching module of described utilization completes people's name and identification card number or intellecture property number by people's name and identification card number or intellecture property number and history item another project of declaring project in information of declaring that completes of the information project of the current project of declaring and directly mates, and is specially:
The history item information of declaring in the subdatasheet in the information of the project of declaring of remote data acquisition terminal collection and declaration data storehouse is directly traveled through to circulation and mate, judge whether coupling, if coupling is judged repetition, otherwise, do not repeat.
What described information of declaring project comprised project name, paper treatise title, project completes people's name and identification card number and intellecture property number, and what the history item information of declaring comprised project name in current annual sundry item or nearly 3 years all items, paper treatise title, project completes people's name and identification card number and intellecture property number.Intellecture property number is number of patent application or patent publication No..
By similarity account form, looking into heavily, is in order to inquire to a greater extent duplicated project, avoids reconfiguring project and repeats to declare; The data of described participle comprise project name and paper treatise title; The data of described direct coupling comprise: the name and identification card number and the intellecture property number that complete people.It is heavily the important step in whole scientific and technological reward system that data are looked into, and data handling procedure is complicated, and processing means are different.For different pieces of information, taking different modes to look into heavily, is to avoid false drop and under-enumeration.Completing people's name and identification card number and intellecture property number is complete sign, does not have the possibility of combination.Project name and paper treatise title can be decomposed restructuring, carry out participle calculating similarity and can inquire about more accurately duplicated project.
In described step 3, the information of declaring in review data storehouse is carried out to three screenings, is specially:
Project in satisfactory review data storehouse is screened for the first time, according to project information, select corresponding network evaluation expert, by network evaluation, the data that are synchronized in review data storehouse are screened; Store the project data of declaring filtering out into the 3rd buffer area in review data storehouse;
The project data of declaring storing in the 3rd buffer area is carried out to programmed screening; According to project information, select Senior Expert, the data that screening is taken out are for the first time carried out to expert's ballot, from voting results, take out preliminary award-winning item, store the data of preliminary award-winning item into the 4th buffer area in review data storehouse;
The project data of declaring storing in the 4th buffer area is screened for the third time; According to project information, select the expert of Technology Committee, the data of taking out in programmed screening are carried out to expert's audit, from auditing result, take out final award-winning item, store final award-winning item into the 5th buffer area in review data storehouse.
When screening, the weight of Score index is set, select expert, synchronous data are carried out to expert's scoring, according to weight, expert's scoring is summed up and obtains project score, according to project score, sort from high to low, from ranking results, take out the project of setting number.Ballot comprises: the first prize, second prize, third prize and do not decide on awards through discussion.Audit includes objection and without demur.
In described three screenings, expert's the process of selecting is specially:
S1: the form by science and technology item discipline information with data set A is stored in the subdatasheet in review data storehouse, also stores the expert's discipline information with the form storage of data set B in the subdatasheet in review data storehouse;
S2: choose expert's discipline information and as condition element in data set B, whether the condition element that judges this expert's discipline information is one-level subject, if, the key factor of the science and technology item discipline information of this condition element being stored with the form with data set A is mated, whether the condition element in traversal expert discipline information comprises key factor, if comprised, and coupling, and enter step S5, otherwise do not mate, enter step S3;
S3: whether the condition element that judges this expert info is secondary subject, if, the key factor of the science and technology item information of this condition element being stored with the form with data set A is mated, whether the condition element in traversal expert info comprises key factor, if comprised, coupling, enter step S5, otherwise do not mate, enter step S4;
S4: whether the condition element that judges this expert info is three grades of subjects, if, the key factor of the science and technology item information of this condition element being stored with the form with data set A is mated, whether the condition element in traversal expert info comprises key factor, if comprised, coupling, enter S5, otherwise do not mate;
S5: choose at random the expert's quantity matching with science and technology item from the data set B of expert's discipline information of storage, and the data of taking-up are stored to review data storehouse;
Described step S5 is specially, according to Random (at random) function, return zero to the random number specifying number, choose data, until select, enough specify number.
Three screenings are different, different to the evaluation of data, and screening is for the first time that marking, programmed screening are that ballot graduation, screening are for the third time to vote.But the process that in three screenings, expert selects is identical.The data output filtering out, output form is Word format file.The output of Word format file, is convenient to user and adjusts voluntarily data layout.
A data handling system with system measuring ability, comprises system check module, for automatically detecting active user by JS script, uses browser version, points out, and close for non-IE series browser; Detect and use the browser i.e. system of entering that meets the requirements to carry out data acquisition;
Remote data acquisition terminal, for the buffer area to the webserver by the data information memory of the project of declaring gathering;
Principal computer, for call the webserver buffer area the project of declaring data message and store the first buffer area of principal computer into; The picture, Word and the PDF document data that gather are stored to the second buffer area of principal computer with document form, document relative path is stored in project application database attachments subdatasheet;
Look into heavy judge module, for read the information of the project of declaring of the first buffer area according to principal computer, judge whether data meet the requirements; For photo-document, utilize document path in project application database attachments subdatasheet to call the second buffer area photo-document of principal computer, if declare the information of project and photo-document in project application tables of data, all meet the requirements and just enter screening module, if do not met with regard to Resurvey data;
Output module, for by satisfactory project data from project application database synchronization to review data storehouse; The information of declaring in review data storehouse is carried out to three screenings, and final data is exported on the browsing pages of server.
Described data handling system also comprises data allocations module, specifically for the data directly related with project being stored in the master data sheet of project application storehouse, store in each subdatasheet of project application storehouse with the data of project indirect correlation, associated by project major key between subdatasheet; In the subdatasheet in declaration data storehouse, also store history item and declare information.
Described looking in heavy judge module, specifically also comprise selection module, select module carry out participle or directly mate for principal computer being read to the data of each subdatasheet storage of project application storehouse of the first buffer area, utilize and judge whether the information of the current project of declaring is project name or paper treatise title, if just enter keyword comparison module, if not, what determine whether project completes people's name and identification card number or intellecture property number again, if so, enter direct matching module;
Keyword comparison module, for another that the project name of the information of the current project of declaring or paper treatise title and history item are declared to information, declare the project name of project or the keyword comparison of paper treatise title, if similarity is not less than setting value, judge and repeat, otherwise do not repeat;
Direct matching module, for complete people's name and identification card number or intellecture property number and the history item of the information project of the current project of declaring are declared to another project of declaring project of information and are completed people's name and identification card number or intellecture property number and directly mate, if identical judgement repeats, otherwise does not repeat;
Memory module, for by keyword comparison module and directly matching module judge that the information that does not repeat the project of declaring stores the buffer area of principal computer into, store the information of judging the project of declaring repeating into project application database in principal computer and look into heavily in table.
Described keyword comparison module, specifically comprises:
Keyword extracting module, declares of information for taking out current information of declaring project and history item, and the information of taking out is carried out to participle, and the keyword decompositing is stored into respectively in two arrays corresponding to project declaration data storehouse in principal computer;
Similarity module, for drawing the current information of project and the similarity of the project information that history item is declared information of declaring, by this similarity and setting value comparison, if similarity is not less than setting value, judges and repeats, otherwise do not repeat.
Described current information and the history item of declaring project of keyword extracting module taking-up of utilizing declared in information, and the information of taking out is carried out to participle, adopts ShootSearch assembly participle.
Described similarity module, specifically for keyword number size in two arrays corresponding to item compared declaration data storehouse, is taken out less keyword number, with same keyword number, divided by less keyword number, draws similarity.
Described direct matching module, specifically comprises:
Matching module, mates for the information of the project of declaring of remote data acquisition terminal collection and the subdatasheet history item in the declaration data storehouse information of declaring directly being traveled through to circulation, judges whether coupling, if coupling is judged repetition, otherwise, do not repeat.
Described screening module, specifically comprises:
Screening memory module, for calling science and technology item discipline information and being stored in the subdatasheet in review data storehouse with the form of data set A, also stores the expert's discipline information with the form storage of data set B in the subdatasheet in review data storehouse;
One-level subject extraction module, for choosing expert's discipline information and as condition element at data set B, whether the condition element that judges this expert's discipline information is one-level subject, if, the key factor of the science and technology item discipline information of this condition element being stored with the form with data set A is mated, whether the condition element in traversal expert discipline information comprises key factor, if comprised, and coupling, otherwise do not mate;
Secondary subject extraction module, for judging whether the condition element of this expert info is secondary subject, if, the key factor of the science and technology item information of this condition element being stored with the form with data set A is mated, whether the condition element in traversal expert info comprises key factor, if comprised, coupling, otherwise do not mate;
Three grades of subject extraction modules, for judging whether the condition element of this expert info is three grades of subjects, if, the key factor of the science and technology item information of this condition element being stored with the form with data set A is mated, whether the condition element in traversal expert info comprises key factor, if comprised, coupling, otherwise do not mate;
Random data generation module, for choosing at random from the data set B of expert's discipline information of storage the expert's quantity matching with science and technology item, and is stored to review data storehouse by the data of taking-up;
Described random data generation module is specially, according to Random (at random) function, return zero to the random number specifying number, choose data, until select, enough specify number.
Described screening module comprises primary screening module, postsearch screening module and three screening modules, described primary screening module is for screening for the first time satisfactory project, according to project information, select corresponding network evaluation expert, by network evaluation, the data that are synchronized in review data storehouse are screened; Store the project data of declaring filtering out into the 3rd buffer area in review data storehouse;
Described postsearch screening module is for carrying out programmed screening to storing the project data of declaring of the 3rd buffer area into; According to project information, select Senior Expert, the data of taking out in primary screening module are carried out to expert's ballot, from voting results, take out preliminary award-winning item, store the data of preliminary award-winning item into the 4th buffer area in review data storehouse;
Described three screening modules are for carrying out data and screen for the third time storing the project data of declaring of the 4th buffer area into; According to project information, select the expert of Technology Committee, the data of taking out in postsearch screening module are carried out to expert's audit, from auditing result, take out final award-winning item, store final award-winning item into the 5th buffer area in review data storehouse; By the data output of the final award-winning item in the 5th buffer area being stored in review data storehouse.
Directly related data comprise project essential information; The data of indirect correlation comprise project brief, main scientific and technical innovation, third party evaluation, economic results in society, once obtained scientific and technological reward, complete people, the unit of completing, recommend unit suggestion, intellecture property, paper treatise and annex; Image data comprises: project essential information, project brief, main scientific and technical innovation, third party evaluation, economic results in society, once obtained scientific and technological reward, complete people, the unit of completing, recommend unit suggestion, intellecture property, paper treatise and annex; Described project essential information comprises: project name, project subject, technical field, item source and affiliated industrial sectors of national economy etc.; Described intellecture property comprises: intellecture property number, intellecture property title, intellectual property obligee and intellecture property obtain the time; The described people of completing comprises: complete people's name, identification card number and complete people's order.
In described project acquisition module, data file layout comprises: tables of data, picture, Word document and PDF document, be stored as data in different formats, tables of data is convenient to inquiry, statistics, and picture and PDF document are guaranteed data validity, Word document, for the ease of keeping the original form of data, is convenient to check.
Described primary screening module, postsearch screening module and three screening modules are different, and different to the evaluation of data, primary screening module is used for giving a mark, postsearch screening module is used for voting graduation, three screening modules are used for voting.But the process that in primary screening module, postsearch screening module and three screening modules, expert selects is identical.
Beneficial effect of the present invention:
Data judgement advantage is that system is automatically extracted and looks into heavy factor, carries out complex match calculating, reduces human factor, improves the just and correctness of looking into heavy result, alleviates staff's workload, greatly increases work efficiency.It is heavily the important step in whole scientific and technological reward system that data are looked into, and data handling procedure is complicated, and processing means are different.For different pieces of information, taking different modes to look into heavily, is to avoid false drop and under-enumeration.Completing people's name and identification card number and intellecture property number is complete sign, does not have the possibility of combination.Project name and paper treatise title can be decomposed restructuring, carry out participle calculating similarity and can inquire about more accurately duplicated project.
By network evaluation, carry out the advantage of data screening, reduce job costs, the interference that screening process reduces other factors makes screening more objective.Expert's advantage of selecting is to choose at random expert and associated with expert's subject according to project subject, makes expert select fair and just, expert and has more specific aim, and review result quality is higher.
Accompanying drawing explanation
Fig. 1 is main flow schematic diagram of the present invention;
Fig. 2 is data judgement schematic flow sheet of the present invention;
Fig. 3 data judgement of the present invention keyword is schematic flow sheet relatively;
Fig. 4 is directly coupling schematic flow sheet of data judgement of the present invention;
Fig. 5 is that expert of the present invention selects schematic flow sheet.
Embodiment
Below in conjunction with accompanying drawing and embodiment, the invention will be further described.
As shown in Figure 1, a kind of data processing method with system measuring ability, comprises the steps:
Step 1: system detects, is used browser to open website, automatically detects active user use browser version by JS script, points out, and close for non-IE series browser; Detect and use the browser i.e. system of entering that meets the requirements to carry out data acquisition;
Step 2: the data directly related with project that gather are stored in the master data sheet of project application storehouse, every corresponding unique bullets of data, store in each subdatasheet of project application storehouse with the data of project indirect correlation, bullets is set associated with master data sheet as external key in subdatasheet; The picture, Word and the PDF document data that gather are stored to server buffer district with document form, and document relative path is stored in the annex subdatasheet of project application storehouse;
Step 3: read data in project application storehouse master data sheet and each subdatasheet, judge whether data meet the requirements; For photo-document, utilize invoking server buffer area photo-document in document path in the annex subdatasheet of project application storehouse, if declare the information of project and photo-document in project application tables of data, all meet the requirements and just enter step 4, if met, just do not return to step 2;
Step 4: from project application database synchronization to review data storehouse, this synchronizing process is one-way synchronization by satisfactory project data in step 2;
Step 5: satisfactory project is repeatedly screened, select corresponding network evaluation expert according to project information, by network evaluation, the data that are synchronized in review data storehouse are screened; Store the project data of declaring filtering out into the first buffer area in review data storehouse; The project data of declaring storing in the first buffer area is carried out to programmed screening; According to project information, select Senior Expert, the data of taking out in step 4 are carried out to expert's ballot, from voting results, take out preliminary award-winning item, store the data of preliminary award-winning item into the second buffer area in review data storehouse; The project data of declaring storing in the second buffer area is carried out data and screened for the third time; According to project information, select the expert of Technology Committee, the data of taking out in step 5 are carried out to expert's audit, from auditing result, take out final award-winning item, store final award-winning item into the 3rd buffer area in review data storehouse;
Step 6: by the data output of the final award-winning item in the 3rd buffer area being stored in review data storehouse.
In described step 2, directly related data comprise project essential information;
The data of indirect correlation comprise project brief, main scientific and technical innovation, third party evaluation, economic results in society, once obtained scientific and technological reward, complete people, the unit of completing, recommend unit suggestion, intellecture property, paper treatise and annex;
Image data comprises: project essential information, project brief, main scientific and technical innovation, third party evaluation, economic results in society, once obtained scientific and technological reward, complete people, the unit of completing, recommend unit suggestion, intellecture property, paper treatise and annex;
Described project essential information comprises: project name, project subject, technical field, item source and affiliated industrial sectors of national economy etc.;
Described intellecture property comprises: intellecture property number, intellecture property title, intellectual property obligee and intellecture property obtain the time;
The described people of completing comprises: complete people's name, identification card number and complete people's order.
In described step 2, data file layout comprises: tables of data, picture, Word document and PDF document, be stored as data in different formats, tables of data is convenient to inquiry, statistics, and picture and PDF document are guaranteed data validity, Word document, for the ease of keeping the original form of data, is convenient to check.
In described step 3, the data of storing in step 2 carried out participle or directly mated, calculating similarity, if similarity, lower than setting value, is just judged as and meets the requirements, otherwise, be judged as undesirable.By similarity account form, looking into heavily, is in order to inquire to a greater extent duplicated project, avoids reconfiguring project and repeats to declare; The data of described participle comprise project name and paper treatise title; The data of described direct coupling comprise: the name and identification card number and the intellecture property number that complete people.
In described step 5, detailed process is: the weight that Score index is set, select expert, data synchronous in step 3 are carried out to expert's scoring, according to weight, expert's scoring is summed up and obtains project score, according to project score, sort from high to low, from ranking results, take out the project of setting number.
Ballot in described step 5 comprises: the first prize, second prize, third prize and do not decide on awards through discussion.
In described step 5, audit includes objection and without demur.
Described step 6, the data that step 6 is filtered out output, output form is Word format file.The output of Word format file, is convenient to user and adjusts voluntarily data layout.
As shown in Figure 2, described step 3 is got data in project application storehouse master data sheet and each subdatasheet, judges that the whether satisfactory step of data comprises:
Step (3-1): from project application storehouse master data sheet and each subdatasheet extraction factor; Described factor comprises: project name, project complete people's name and identification card number, intellecture property number, paper treatise title;
Step (3-2): whether factor of judgment is project name and paper treatise title, if just enter step (3-3), otherwise just enters step (3-4);
Step (3-3): by keyword comparison in project name and paper treatise title and another project, if identical, judgement project repeats, otherwise project does not repeat;
Step (3-4): by project complete people's name and identification card number, intellecture property number is directly mated with another project, if identical, judgement project repeats, otherwise project does not repeat;
Step (3-5): result store; To step (3-3) and step (3-4) relatively and matching result store project application database into.
It is heavily the important step in whole scientific and technological reward system that data are looked into, and data handling procedure is complicated, and processing means are different.For different pieces of information, taking different modes to look into heavily, is to avoid false drop and under-enumeration.Completing people's name and identification card number and intellecture property number is complete sign, does not have the possibility of combination.Project name and paper treatise title can be decomposed restructuring, carry out participle calculating similarity and can inquire about more accurately duplicated project.
As shown in Figure 3, the concrete steps of described step (3-3) keyword comparison comprise:
Step (3-3-1): take out current project and another object project name or paper treatise title from project application database; Described another project refers to a project in current annual sundry item or the first three years all items;
Step (3-3-2): extract keyword; ShootSearch assembly participle for the data acquisition that step (3-3-1) is taken out, stores respectively the keyword decompositing into array;
Step (3-3-3): keyword coupling; Two arrays that step (3-3-2) is obtained travel through recycle ratio, draw same keyword number and respectively organize keyword number;
Step (3-3-4): calculate similarity; Two groups of keyword number sizes that comparison step (3-3-3) draws, take out less keyword number, with same keyword number, divided by less keyword number, draw similarity;
Step (3-3-5): judge whether repetition; The similarity that step (3-3-4) is drawn and setting value comparison, if similarity is not less than setting value, judges and repeat, otherwise do not repeat;
Step (3-3-6): data storage; Step (3-3-5) is sentenced to heavy data and store project application database into.
As shown in Figure 4, the step that described step (3-4) is directly mated comprises:
Step (3-4-1): take out current project and another project completes people's name and identification card number or intellecture property number from project application database; Described another project: when completing people's name or identification card number, refer to a project in the sundry item in current year in factor; When factor is intellecture property, refer to the sundry item in current year or a project in the first three years all items.
Step (3-4-2): directly mate; The data that step (3-4-1) is taken out directly compare;
Step (3-4-3): judge whether repetition; Judgement more identical in step (3-4-2) is repeated, otherwise do not repeat;
Step (3-4-4): data storage, step (3-4-3) is sentenced to heavy data and store project application database into.
As shown in Figure 5, the selection process of the expert in described step 5 is as follows:
Step (I): being that to take out key factor the set of project subject be project the first subject from data set A, is the i.e. i.e. i.e. trivium of the second subject and factor 3 of the first subject, factor 2 of taking-up factor 1 set of expert's subject from data set B;
Step (II): choose condition element; Affiliated condition element comprises: the first subject, the second subject and trivium;
Step (III): whether Rule of judgment factor is i.e. the first subject of factor 1, if just enter step (IV) and make n=1, otherwise enters step (V);
Step (IV): factor n is mated with key factor; In traversal factor n, whether comprise key factor, if comprised, coupling, otherwise do not mate; If coupling, enters step (VI), otherwise returns to step (II);
Step (V): whether Rule of judgment factor is i.e. the second subject of factor 2, if just enter step (IV) and make n=2, otherwise enters step (IV) and makes n=3;
Step (VI): B chooses matched data from data set; According to step (IV) matching result, choose data;
Step (VII): choose at random and specify number data; Zero random number to appointment bibliography of returning according to Random function, chooses data, until choosing enough specifies number;
Step (VIII): data storage; The data that step (VII) is taken out are stored to review data storehouse.
A data handling system with system measuring ability, comprises remote data acquisition terminal, for the buffer area to the webserver by the data information memory of the project of declaring gathering;
Principal computer, for call the webserver buffer area the project of declaring data message and store the first buffer area of principal computer into; The picture, Word and the PDF document data that gather are stored to the second buffer area of principal computer with document form, document relative path is stored in project application database attachments subdatasheet;
Look into heavy judge module, for read the information of the project of declaring of the first buffer area according to principal computer, judge whether data meet the requirements; For photo-document, utilize document path in project application database attachments subdatasheet to call the second buffer area photo-document of principal computer, whether judgement conforms to corresponding data subset, if declare the information of project and photo-document in project application tables of data, all meet the requirements and just enter screening module, if do not met with regard to Resurvey data;
Output module, for by satisfactory project data from project application database synchronization to review data storehouse; The information of declaring in review data storehouse is carried out to three screenings, and final data is exported on the browsing pages of server.
Described data handling system also comprises data allocations module, specifically for the data directly related with project being stored in the master data sheet of project application storehouse, store in each subdatasheet of project application storehouse with the data of project indirect correlation, associated by project major key between subdatasheet; In the subdatasheet in declaration data storehouse, also store history item and declare information.
Described looking in heavy judge module, specifically also comprise selection module, select module carry out participle or directly mate for principal computer being read to the data of each subdatasheet storage of project application storehouse of the first buffer area, utilize and judge whether the information of the current project of declaring is project name or paper treatise title, if just enter keyword comparison module, if not, what determine whether project completes people's name and identification card number or intellecture property number again, if so, enter direct matching module;
Keyword comparison module, for another that the project name of the information of the current project of declaring or paper treatise title and history item are declared to information, declare the project name of project or the keyword comparison of paper treatise title, if similarity is not less than setting value, judge and repeat, otherwise do not repeat;
Direct matching module, for complete people's name and identification card number or intellecture property number and the history item of the information project of the current project of declaring are declared to another project of declaring project of information and are completed people's name and identification card number or intellecture property number and directly mate, if identical judgement repeats, otherwise does not repeat;
Memory module, for by keyword comparison module and directly matching module judge that the information that does not repeat the project of declaring stores the buffer area of principal computer into, store the information of judging the project of declaring repeating into project application database in principal computer and look into heavily in table.
Described keyword comparison module, specifically comprises:
Keyword extracting module, declares of information for taking out current information of declaring project and history item, and the information of taking out is carried out to participle, and the keyword decompositing is stored into respectively in two arrays corresponding to project declaration data storehouse in principal computer;
Similarity module, for drawing the current information of project and the similarity of the project information that history item is declared information of declaring, by this similarity and setting value comparison, if similarity is not less than setting value, judges and repeats, otherwise do not repeat.
Described current information and the history item of declaring project of keyword extracting module taking-up of utilizing declared in information, and the information of taking out is carried out to participle, adopts ShootSearch assembly participle.
Described similarity module, specifically for keyword number size in two arrays corresponding to item compared declaration data storehouse, is taken out less keyword number, with same keyword number, divided by less keyword number, draws similarity.
Described direct matching module, specifically comprises:
Matching module, mates for the information of the project of declaring of remote data acquisition terminal collection and the subdatasheet history item in the declaration data storehouse information of declaring directly being traveled through to circulation, judges whether coupling, if coupling is judged repetition, otherwise, do not repeat.
Described screening module, specifically comprises:
Screening memory module, for calling science and technology item discipline information and being stored in the subdatasheet in review data storehouse with the form of data set A, also stores the expert's discipline information with the form storage of data set B in the subdatasheet in review data storehouse;
One-level subject extraction module, for choosing expert's discipline information and as condition element at data set B, whether the condition element that judges this expert's discipline information is one-level subject, if, the key factor of the science and technology item discipline information of this condition element being stored with the form with data set A is mated, whether the condition element in traversal expert discipline information comprises key factor, if comprised, and coupling, otherwise do not mate;
Secondary subject extraction module, for judging whether the condition element of this expert info is secondary subject, if, the key factor of the science and technology item information of this condition element being stored with the form with data set A is mated, whether the condition element in traversal expert info comprises key factor, if comprised, coupling, otherwise do not mate;
Three grades of subject extraction modules, for judging whether the condition element of this expert info is three grades of subjects, if, the key factor of the science and technology item information of this condition element being stored with the form with data set A is mated, whether the condition element in traversal expert info comprises key factor, if comprised, coupling, otherwise do not mate;
Random data generation module, for choosing at random from the data set B of expert's discipline information of storage the expert's quantity matching with science and technology item, and is stored to review data storehouse by the data of taking-up;
Described random data generation module is specially, according to Random (at random) function, return zero to the random number specifying number, choose data, until select, enough specify number.
Described screening module comprises primary screening module, postsearch screening module and three screening modules, described primary screening module is for screening for the first time satisfactory project, according to project information, select corresponding network evaluation expert, by network evaluation, the data that are synchronized in review data storehouse are screened; Store the project data of declaring filtering out into the 3rd buffer area in review data storehouse;
Described postsearch screening module is for carrying out programmed screening to storing the project data of declaring of the 3rd buffer area into; According to project information, select Senior Expert, the data of taking out in primary screening module are carried out to expert's ballot, from voting results, take out preliminary award-winning item, store the data of preliminary award-winning item into the 4th buffer area in review data storehouse;
Described three screening modules are for carrying out data and screen for the third time storing the project data of declaring of the 4th buffer area into; According to project information, select the expert of Technology Committee, the data of taking out in postsearch screening module are carried out to expert's audit, from auditing result, take out final award-winning item, store final award-winning item into the 5th buffer area in review data storehouse; By the data output of the final award-winning item in the 5th buffer area being stored in review data storehouse.
Directly related data comprise project essential information; The data of indirect correlation comprise project brief, main scientific and technical innovation, third party evaluation, economic results in society, once obtained scientific and technological reward, complete people, the unit of completing, recommend unit suggestion, intellecture property, paper treatise and annex; Image data comprises: project essential information, project brief, main scientific and technical innovation, third party evaluation, economic results in society, once obtained scientific and technological reward, complete people, the unit of completing, recommend unit suggestion, intellecture property, paper treatise and annex; Described project essential information comprises: project name, project subject, technical field, item source and affiliated industrial sectors of national economy etc.; Described intellecture property comprises: intellecture property number, intellecture property title, intellectual property obligee and intellecture property obtain the time; The described people of completing comprises: complete people's name, identification card number and complete people's order.
In described project acquisition module, data file layout comprises: tables of data, picture, Word document and PDF document, be stored as data in different formats, tables of data is convenient to inquiry, statistics, and picture and PDF document are guaranteed data validity, Word document, for the ease of keeping the original form of data, is convenient to check.
Described primary screening module, postsearch screening module and three screening modules are different, and different to the evaluation of data, primary screening module is used for giving a mark, postsearch screening module is used for voting graduation, three screening modules are used for voting.But the process that in primary screening module, postsearch screening module and three screening modules, expert selects is identical.
Data judgement advantage of the present invention is that system is automatically extracted and looks into heavy factor, carries out complex match calculating, reduces human factor, improves the just and correctness of looking into heavy result, alleviates staff's workload, greatly increases work efficiency.It is heavily the important step in whole scientific and technological reward system that data are looked into, and data handling procedure is complicated, and processing means are different.For different pieces of information, taking different modes to look into heavily, is to avoid false drop and under-enumeration.Completing people's name and identification card number and intellecture property number is complete sign, does not have the possibility of combination.Project name and paper treatise title can be decomposed restructuring, carry out participle calculating similarity and can inquire about more accurately duplicated project.
By network evaluation, carry out the advantage of data screening, reduce job costs, the interference that screening process reduces other factors makes screening more objective.Expert's advantage of selecting is to choose at random expert and associated with expert's subject according to project subject, makes expert select fair and just, expert and has more specific aim, and review result quality is higher.
Although above-mentioned, by reference to the accompanying drawings the specific embodiment of the present invention is described; but be not limiting the scope of the invention; one of ordinary skill in the art should be understood that; on the basis of technical scheme of the present invention, those skilled in the art do not need to pay various modifications that creative work can make or distortion still in protection scope of the present invention.
Claims (10)
1. a data processing method with system measuring ability, is characterized in that, comprises the steps:
Step 1: automatically detect active user by JS script and use browser version, point out for non-IE series browser, and close; Detect and use the browser i.e. system of entering that meets the requirements to carry out data acquisition;
Step 2: the data information memory of the project of declaring of collection is to the buffer area of the webserver, principal computer call the webserver buffer area the project of declaring data message and store the first buffer area of principal computer into; The picture, Word and the PDF document data that gather are stored to the second buffer area of principal computer with document form, document relative path is stored in project application database attachments subdatasheet;
Step 3: principal computer reads the information of the project of declaring in the first buffer area, judges whether data meet the requirements; For photo-document, utilize document path in project application database attachments subdatasheet to call the second buffer area photo-document of principal computer, if declare the information of project and photo-document in project application tables of data, all meet the requirements and just enter step 4, if met, just do not return to step 2;
Step 4: from project application database synchronization to review data storehouse, this synchronizing process is taked one-way synchronization by satisfactory project data in step 3; The information of declaring in review data storehouse is carried out to three screenings, and final data is exported on the browsing pages of server;
In described step 2, be specially: the data directly related with project are stored in the master data sheet of project application storehouse, every corresponding unique bullets of data, store in each subdatasheet of project application storehouse with the data of project indirect correlation, in subdatasheet, to be set to external key associated with master data sheet for unique bullets; In the subdatasheet in declaration data storehouse, also store history item and declare information.
2. a kind of data processing method with system measuring ability as claimed in claim 1, it is characterized in that, in described step 2, the data of each subdatasheet storage of project application storehouse are carried out participle or directly mated, utilize judge module to judge whether the information of the current project of declaring is project name or paper treatise title, if just enter keyword comparison module, if not, what determine whether project completes people's name and identification card number or intellecture property number again, if so, enter direct matching module;
Utilize keyword comparison module that the project name of the information of the current project of declaring or paper treatise title and history item are declared to another in information and declare the project name of project or the keyword comparison of paper treatise title, if similarity is not less than setting value, judge and repeat, otherwise do not repeat;
Utilizing direct matching module that people's name and identification card number or intellecture property number and history item another project of declaring project in information of declaring that completes of the information project of the current project of declaring is completed to people's name and identification card number or intellecture property number directly mates, if identical judgement repeats, otherwise does not repeat;
Utilize memory module by keyword comparison module and directly matching module judge that the information that does not repeat the project of declaring stores the buffer area of principal computer into, store the information of judging the project of declaring repeating into project application database in principal computer and look into heavily in table.
3. a kind of data processing method with system measuring ability as claimed in claim 2, it is characterized in that, described keyword comparison module is declared another in information by the project name of the information of the current project of declaring or paper treatise title and history item and is declared the project name of project or the keyword comparison of paper treatise title, if similarity is not less than setting value, judge and repeat, otherwise do not repeat, detailed process is:
Utilize keyword extracting module to take out current information and history item of declaring project and declare in information, the information of taking out is carried out to participle, the keyword decompositing is stored into respectively in two arrays corresponding to project declaration data storehouse in principal computer;
Utilize keyword matching module to travel through recycle ratio to the keyword in two arrays corresponding to project application database, draw same keyword number and respectively organize keyword number;
According to similarity module, draw the current information of project and the similarity that history item is declared the project information in information of declaring, by this similarity and setting value comparison, if similarity is not less than setting value, judges and repeat, otherwise do not repeat;
Described current information and the history item of declaring project of keyword extracting module taking-up of utilizing declared in information, and the information of taking out is carried out to participle, adopts ShootSearch assembly participle;
Described similarity module, specifically for keyword number size in two arrays corresponding to item compared declaration data storehouse, is taken out less keyword number, with same keyword number, divided by less keyword number, draws similarity.
4. a kind of data processing method with system measuring ability as claimed in claim 1, is characterized in that, in described step 3, the information of declaring in review data storehouse is carried out to three screenings, is specially:
Project in satisfactory review data storehouse is screened for the first time, according to project information, select corresponding network evaluation expert, by network evaluation, the data that are synchronized in review data storehouse are screened; Store the project data of declaring filtering out into the 3rd buffer area in review data storehouse;
The project data of declaring storing in the 3rd buffer area is carried out to programmed screening; According to project information, select Senior Expert, the data that screening is taken out are for the first time carried out to expert's ballot, from voting results, take out preliminary award-winning item, store the data of preliminary award-winning item into the 4th buffer area in review data storehouse;
The project data of declaring storing in the 4th buffer area is screened for the third time; According to project information, select the expert of Technology Committee, the data of taking out in programmed screening are carried out to expert's audit, from auditing result, take out final award-winning item, store final award-winning item into the 5th buffer area in review data storehouse.
5. a kind of data processing method with system measuring ability as claimed in claim 1, is characterized in that, in described three screenings, expert's the process of selecting is specially:
S1: the form by science and technology item discipline information with data set A is stored in the subdatasheet in review data storehouse, also stores the expert's discipline information with the form storage of data set B in the subdatasheet in review data storehouse;
S2: choose expert's discipline information and as condition element in data set B, whether the condition element that judges this expert's discipline information is one-level subject, if, the key factor of the science and technology item discipline information of this condition element being stored with the form with data set A is mated, whether the condition element in traversal expert discipline information comprises key factor, if comprised, and coupling, and enter step S5, otherwise do not mate, enter step S3;
S3: whether the condition element that judges this expert info is secondary subject, if, the key factor of the science and technology item information of this condition element being stored with the form with data set A is mated, whether the condition element in traversal expert info comprises key factor, if comprised, coupling, enter step S5, otherwise do not mate, enter step S4;
S4: whether the condition element that judges this expert info is three grades of subjects, if, the key factor of the science and technology item information of this condition element being stored with the form with data set A is mated, whether the condition element in traversal expert info comprises key factor, if comprised, coupling, enter S5, otherwise do not mate;
S5: choose at random the expert's quantity matching with science and technology item from the data set B of expert's discipline information of storage, and the data of taking-up are stored to review data storehouse.
6. a kind of data handling system with system measuring ability as claimed in claim 1, is characterized in that, comprising:
System check module, is used browser version for automatically detecting active user by JS script, points out, and close for non-IE series browser; Detect and use the browser i.e. system of entering that meets the requirements to carry out data acquisition;
Remote data acquisition terminal, for the buffer area to the webserver by the data information memory of the project of declaring gathering;
Principal computer, for call the webserver buffer area the project of declaring data message and store the first buffer area of principal computer into; The picture, Word and the PDF document data that gather are stored to the second buffer area of principal computer with document form, document relative path is stored in project application database attachments subdatasheet;
Look into heavy judge module, for read the information of the project of declaring of the first buffer area according to principal computer, judge whether data meet the requirements; For photo-document, utilize document path in project application database attachments subdatasheet to call the second buffer area photo-document of principal computer, whether judgement conforms to corresponding data subset, if declare the information of project and photo-document in project application tables of data, all meet the requirements and just enter screening module, if do not met with regard to Resurvey data;
Output module, for by satisfactory project data from project application database synchronization to review data storehouse; The information of declaring in review data storehouse is carried out to three screenings, and final data is exported on the browsing pages of server;
Described data handling system also comprises data allocations module, specifically for the data directly related with project being stored in the master data sheet of project application storehouse, store in each subdatasheet of project application storehouse with the data of project indirect correlation, associated by project major key between subdatasheet; In the subdatasheet in declaration data storehouse, also store history item and declare information.
7. a kind of data handling system with system measuring ability as claimed in claim 6, it is characterized in that, described looking in heavy judge module, specifically also comprise selection module, select module carry out participle or directly mate for principal computer being read to the data of each subdatasheet storage of project application storehouse of the first buffer area, utilize and judge whether the information of the current project of declaring is project name or paper treatise title, if just enter keyword comparison module, if not, what determine whether project completes people's name and identification card number or intellecture property number again, if, enter direct matching module,
Keyword comparison module, for another that the project name of the information of the current project of declaring or paper treatise title and history item are declared to information, declare the project name of project or the keyword comparison of paper treatise title, if similarity is not less than setting value, judge and repeat, otherwise do not repeat;
Direct matching module, for complete people's name and identification card number or intellecture property number and the history item of the information project of the current project of declaring are declared to another project of declaring project of information and are completed people's name and identification card number or intellecture property number and directly mate, if identical judgement repeats, otherwise does not repeat;
Memory module, for by keyword comparison module and directly matching module judge that the information that does not repeat the project of declaring stores the buffer area of principal computer into, store the information of judging the project of declaring repeating into project application database in principal computer and look into heavily in table.
8. a kind of data handling system with system measuring ability as claimed in claim 7, is characterized in that, described keyword comparison module, specifically comprises:
Keyword extracting module, declares of information for taking out current information of declaring project and history item, and the information of taking out is carried out to participle, and the keyword decompositing is stored into respectively in two arrays corresponding to project declaration data storehouse in principal computer;
Similarity module, for drawing the current information of project and the similarity of the project information that history item is declared information of declaring, by this similarity and setting value comparison, if similarity is not less than setting value, judges and repeats, otherwise do not repeat;
Described current information and the history item of declaring project of keyword extracting module taking-up of utilizing declared in information, and the information of taking out is carried out to participle, adopts ShootSearch assembly participle;
Described similarity module, specifically for keyword number size in two arrays corresponding to item compared declaration data storehouse, is taken out less keyword number, with same keyword number, divided by less keyword number, draws similarity.
9. a kind of data handling system with system measuring ability as claimed in claim 6, it is characterized in that, described screening module comprises primary screening module, postsearch screening module and three screening modules, described primary screening module is for screening for the first time satisfactory project, according to project information, select corresponding network evaluation expert, by network evaluation, the data that are synchronized in review data storehouse are screened; Store the project data of declaring filtering out into the 3rd buffer area in review data storehouse;
Described postsearch screening module is for carrying out programmed screening to storing the project data of declaring of the 3rd buffer area into; According to project information, select Senior Expert, the data of taking out in primary screening module are carried out to expert's ballot, from voting results, take out preliminary award-winning item, store the data of preliminary award-winning item into the 4th buffer area in review data storehouse;
Described three screening modules are for carrying out data and screen for the third time storing the project data of declaring of the 4th buffer area into; According to project information, select the expert of Technology Committee, the data of taking out in postsearch screening module are carried out to expert's audit, from auditing result, take out final award-winning item, store final award-winning item into the 5th buffer area in review data storehouse; By the data output of the final award-winning item in the 5th buffer area being stored in review data storehouse.
10. a kind of data handling system with system measuring ability as claimed in claim 6, is characterized in that, described screening module, specifically comprises:
Screening memory module, for calling science and technology item discipline information and being stored in the subdatasheet in review data storehouse with the form of data set A, also stores the expert's discipline information with the form storage of data set B in the subdatasheet in review data storehouse;
One-level subject extraction module, for choosing expert's discipline information and as condition element at data set B, whether the condition element that judges this expert's discipline information is one-level subject, if, the key factor of the science and technology item discipline information of this condition element being stored with the form with data set A is mated, whether the condition element in traversal expert discipline information comprises key factor, if comprised, and coupling, otherwise do not mate;
Secondary subject extraction module, for judging whether the condition element of this expert info is secondary subject, if, the key factor of the science and technology item information of this condition element being stored with the form with data set A is mated, whether the condition element in traversal expert info comprises key factor, if comprised, coupling, otherwise do not mate;
Three grades of subject extraction modules, for judging whether the condition element of this expert info is three grades of subjects, if, the key factor of the science and technology item information of this condition element being stored with the form with data set A is mated, whether the condition element in traversal expert info comprises key factor, if comprised, coupling, otherwise do not mate;
Random data generation module, for choosing at random from the data set B of expert's discipline information of storage the expert's quantity matching with science and technology item, and is stored to review data storehouse by the data of taking-up.
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