CN110310083A - A kind of submission system of science and technology item data report - Google Patents
A kind of submission system of science and technology item data report Download PDFInfo
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- CN110310083A CN110310083A CN201910479199.3A CN201910479199A CN110310083A CN 110310083 A CN110310083 A CN 110310083A CN 201910479199 A CN201910479199 A CN 201910479199A CN 110310083 A CN110310083 A CN 110310083A
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Abstract
The invention discloses a kind of submission systems of science and technology item data report, it include: user client, firewall, WEB server, preliminary investigation unit, data preparation unit and data storage server, user client logs in the operation and control interface of software for user, and user client connects preliminary investigation unit by WEB server；Firewall is used to carry out killing and isolation to the lower data of confidence level；Preliminary investigation unit includes detection unit and supply unit, and for detection unit for carrying out detection identification to the science and technology item data of submission, the signal output end of supply unit is separately connected data preparation unit and user client；Data preparation unit is used to carry out taxonomic revision to the science and technology item data after preliminary investigation；Data storage server is for storing the science and technology item data after taxonomic revision.A kind of submission system of science and technology item data report disclosed by the invention can be improved the review efficiency of science and technology item report, reduce audit difficulty.
Description
Technical field
The present invention relates to science and technology item data to submit field more particularly to a kind of submission system of science and technology item data report
System.
Background technique
Science and technology item refers to the project individually set up the project using scientific research and technological development as content, and its object is to solve
The matter of science and technology occurred in economy and society development.
The present inventor has found in the practice of the invention, and existing Science Report submits that there are following technical problems:
Science and technology item is declared needs and is submitted to relevant portion, and due to a lack of professional research and development project management personnel, there are numbers
It is mixed and disorderly according to storage, do not concluded by same area, time, the auditor in each field needs to consult for a long time in audit,
Job schedule has been seriously affected, while being easy to lead to system crash because of doping virus when receiving the data for declaring personnel's submission
In addition problem does not have preliminary investigation system in existing submission system, so audit requires auditor's operation, virtually increase
The labor intensity of auditor.
Summary of the invention
The embodiment of the present invention provides a kind of submission system of science and technology item data report, can be improved science and technology item report
Review efficiency reduces audit difficulty.
The embodiment of the present invention provides a kind of submission system of science and technology item data report, comprising: user client, fire prevention
Wall, WEB server, preliminary investigation unit, data preparation unit and data storage server, which is characterized in that the user client
The operation and control interface of software is logged in for user, and user client connects preliminary investigation unit by WEB server, for submitting science and technology
Project data；
The firewall is used to carry out killing and isolation to the lower data of confidence level in science and technology item data；
The preliminary investigation unit includes detection unit and supply unit, detection unit be used for the science and technology item data of submission into
Row detection identification, the signal output end of supply unit are separately connected data preparation unit and user client, are used for transmission detection
Science and technology item data afterwards；
The data preparation unit is used to carry out taxonomic revision to the science and technology item data after preliminary investigation；
The data storage server is for storing the science and technology item data after taxonomic revision.
As an improvement of the above scheme, the detection content of the detection unit includes data duplicate checking and wrong word, and is detected
Unit further includes convolutional neural networks model.
As an improvement of the above scheme, the convolutional neural networks model further includes identification module subelement and depth training
Learn subelement, depth training study subelement is used to carry out science and technology item data in the prior art and text culture deep
Learning training is spent, and generates network model for identification, identification module subelement is used for according to network model to the number of submission
According to carrying out calculating identification.
As an improvement of the above scheme, the depth training study subelement includes acquisition module, memory module and depth
Learning training module, acquisition module is used to acquire existing science and technology item data by internet, and the signal of acquisition module is defeated
Outlet connects the signal receiving end of memory module, and for storing to the data after acquisition, deep learning training module is used for
Learning training is carried out to the data in memory module and generates model.
As an improvement of the above scheme, the acquisition module uses web crawlers, the transmission line of web crawlers and internet
Filter is connected in road, the memory module uses solid state hard disk.
As an improvement of the above scheme, the data preparation unit includes cluster analysis unit, and specially K-KEANS is calculated
Method, K-KEANS algorithm receive input quantity K.
As an improvement of the above scheme, the K-KEANS algorithm, specifically includes:
Arbitrarily select K object as initial cluster center from n data object；
Each object is calculated separately to the distance of each cluster centre, object is assigned in nearest cluster；
After all objects are assigned, the center of K cluster is recalculated；
It is compared with preceding K cluster centre being once calculated；
Output cluster result is simultaneously stored in data storage server.
As an improvement of the above scheme, described when being compared with preceding K cluster centre being once calculated, work as cluster
Each object is calculated separately when center changes again to the distance of each cluster centre, it is nearest that object is assigned to distance
In cluster, when cluster centre does not change, exports cluster result and be stored in data storage server.
A kind of submission system of science and technology item data report provided in an embodiment of the present invention compared with prior art, has such as
It is lower the utility model has the advantages that
Data duplicate checking and wrong word preliminary investigation are carried out using science and technology item data of the convolutional neural networks model to submission, is not necessarily to
Auditor examines in person, reduces the labor intensity of auditor, has saved the time, while passing through deep learning training module
Training is practised, the network model of continuous optimization for identification ensure that the accuracy of preliminary investigation, and data preparation unit uses K-
KEANS algorithm carries out taxonomic revision to the data after preliminary investigation, carries out check mark audit convenient for the auditor in each field, has saved and browsed
Time effectively raises whole work efficiency.
Detailed description of the invention
Fig. 1 is a kind of principle framework figure of the submission system of science and technology item data report provided in an embodiment of the present invention.
Fig. 2 is convolutional neural networks mould in a kind of submission system of science and technology item data report provided in an embodiment of the present invention
The composition frame diagram of type.
Fig. 3 is depth training study in a kind of submission system of science and technology item data report provided in an embodiment of the present invention
The composition frame diagram of unit.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
It is a kind of structural representation of the submission system of science and technology item data report provided in an embodiment of the present invention referring to Fig. 1
Figure, comprising: user client 10, firewall 20, WEB server 30, preliminary investigation unit 40, data preparation unit 50 and data storage
Server 60, user client 10 logs in the operation and control interface of software for user, and user client 10 passes through WEB server 30
Preliminary investigation unit 40 is connected, for submitting science and technology item data；
Firewall is used to carry out killing and isolation to the lower data of confidence level in science and technology item data；
Preliminary investigation unit 40 includes detection unit and supply unit, and detection unit is used to carry out the science and technology item data of submission
Detection identification, the signal output end of supply unit are separately connected data preparation unit and user client 10, are used for transmission detection
Science and technology item data afterwards；
Data preparation unit is used to carry out taxonomic revision to the science and technology item data after preliminary investigation；
Data storage server 60 is for storing the science and technology item data after taxonomic revision.
As an improvement of the above scheme, the detection content of detection unit includes data duplicate checking and wrong word, and detection unit
It further include convolutional neural networks model.
As an improvement of the above scheme, convolutional neural networks model further includes identification module subelement and depth training study
Subelement, depth training study subelement are used to carry out depth to science and technology item data in the prior art and text culture
Practise training, and generate network model for identification, identification module subelement be used for according to network model to the data of submission into
Row calculates identification.
As an improvement of the above scheme, depth training study subelement includes acquisition module, memory module and deep learning
Training module, acquisition module are used to acquire existing science and technology item data, and the signal output end of acquisition module by internet
The signal receiving end for connecting memory module, for storing to the data after acquisition, deep learning training module is used for depositing
It stores up the data in module and carries out learning training generation model.
As an improvement of the above scheme, acquisition module uses web crawlers, in the transmission line of web crawlers and internet
It is connected with filter, memory module uses solid state hard disk.
As an improvement of the above scheme, data preparation unit includes cluster analysis unit, specially K-KEANS algorithm, K-
KEANS algorithm receives input quantity K.
As an improvement of the above scheme, K-KEANS algorithm specifically includes:
Arbitrarily select K object as initial cluster center from n data object；
Each object is calculated separately to the distance of each cluster centre, object is assigned in nearest cluster；
After all objects are assigned, the center of K cluster is recalculated；
It is compared with preceding K cluster centre being once calculated；
Output cluster result is simultaneously stored in data storage server 60.
As an improvement of the above scheme, when being compared with preceding K cluster centre being once calculated, work as cluster centre
Each object is calculated separately when changing again to the distance of each cluster centre, object is assigned to apart from nearest cluster
In, when cluster centre does not change, exports cluster result and be stored in data storage server 60.
In a specific embodiment, a kind of science and technology item data report provided in an embodiment of the present invention is being used first
Submission system when, user by account number cipher log in software user client, user can write oneself after login
Science and technology item is submitted by WEB server, and for science and technology item data in transmission, firewall can be to Feasible degree in science and technology item
Lower data carry out isolation and killing, and the overall performance of system is effectively guaranteed, and avoid causing system paralysed because of poisoning intrusion
The problem of paralysis, the data secondly submitted carry out data duplicate checking by preliminary investigation unit and wrong word detects, underproof science and technology item number
According to then have supply unit transmission can user client rectified and improved, preliminary investigation it is qualified then can be by K-KEANS algorithm to identical neck
Domain, the science and technology item of time carry out taxonomic revision, facilitate the auditor in each field to audit, when effectively reducing access
Between, it improves work efficiency.
A kind of submission system of science and technology item data report provided in an embodiment of the present invention compared with prior art, has such as
It is lower the utility model has the advantages that
Data duplicate checking and wrong word preliminary investigation are carried out using science and technology item data of the convolutional neural networks model to submission, is not necessarily to
Auditor examines in person, reduces the labor intensity of auditor, has saved the time, while passing through deep learning training module
Training is practised, the network model of continuous optimization for identification ensure that the accuracy of preliminary investigation, and data preparation unit uses K-
KEANS algorithm carries out taxonomic revision to the data after preliminary investigation, carries out check mark audit convenient for the auditor in each field, has saved and browsed
Time effectively raises whole work efficiency.
If the integrated module of the submission system of the science and technology item data report is realized in the form of SFU software functional unit
And when sold or used as an independent product, it can store in a computer readable storage medium.
It should be noted that the apparatus embodiments described above are merely exemplary, wherein described be used as separation unit
The unit of explanation may or may not be physically separated, and component shown as a unit can be or can also be with
It is not physical unit, it can it is in one place, or may be distributed over multiple network units.It can be according to actual
It needs that some or all of the modules therein is selected to achieve the purpose of the solution of this embodiment.In addition, device provided by the invention
In embodiment attached drawing, the connection relationship between module indicate between them have communication connection, specifically can be implemented as one or
A plurality of communication bus or signal wire.Those of ordinary skill in the art are without creative efforts, it can understand
And implement.
The above is a preferred embodiment of the present invention, it is noted that for those skilled in the art
For, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also considered as
Protection scope of the present invention.
Claims (8)
1. a kind of submission system of science and technology item data report, comprising: user client, firewall, WEB server, first verification certificate
Member, data preparation unit and data storage server, which is characterized in that the user client logs in the behaviour of software for user
Interface is controlled, and user client connects preliminary investigation unit by WEB server, for submitting science and technology item data；
The firewall is used to carry out killing and isolation to the lower data of confidence level in science and technology item data；
The preliminary investigation unit includes detection unit and supply unit, and detection unit is for examining the science and technology item data of submission
Identification is surveyed, the signal output end of supply unit is separately connected data preparation unit and user client, after being used for transmission detection
Science and technology item data；
The data preparation unit is used to carry out taxonomic revision to the science and technology item data after preliminary investigation；
The data storage server is for storing the science and technology item data after taxonomic revision.
2. a kind of submission system of science and technology item data report as described in claim 1, which is characterized in that the detection unit
Detection content include data duplicate checking and wrong word, and detection unit further includes convolutional neural networks model.
3. a kind of submission system of science and technology item data report as claimed in claim 2, which is characterized in that the convolutional Neural
Network model further includes identification module subelement and depth training study subelement, and depth training study subelement is used for existing
Science and technology item data and text culture in technology carry out deep learning training, and generate network model for identification, know
Other modular sub-units are used to carry out calculating identification according to data of the network model to submission.
4. a kind of submission system of science and technology item data report as claimed in claim 3, which is characterized in that the depth training
Study subelement includes acquisition module, memory module and deep learning training module, and acquisition module is used to acquire by internet
Existing science and technology item data, and the signal receiving end of the signal output end connection memory module of acquisition module, for acquisition
Data afterwards are stored, and deep learning training module is used to carry out learning training to the data in memory module to generate model.
5. a kind of submission system of science and technology item data report as claimed in claim 4, which is characterized in that the acquisition module
Using web crawlers, filter is connected in the transmission line of web crawlers and internet, the memory module is hard using solid-state
Disk.
6. a kind of submission system of science and technology item data report as claimed in claim 5, which is characterized in that the data preparation
Unit includes cluster analysis unit, specially K-KEANS algorithm, and K-KEANS algorithm receives input quantity K.
7. a kind of submission system of science and technology item data report as claimed in claim 6, which is characterized in that the K-KEANS
Algorithm specifically includes:
Arbitrarily select K object as initial cluster center from n data object；
Each object is calculated separately to the distance of each cluster centre, object is assigned in nearest cluster；
After all objects are assigned, the center of K cluster is recalculated；
It is compared with preceding K cluster centre being once calculated；
Output cluster result is simultaneously stored in data storage server.
8. a kind of submission system of science and technology item data report as claimed in claim 7, which is characterized in that described and preceding primary
When K cluster centre being calculated is compared, each object is calculated separately again when cluster centre changes to respectively
The distance of a cluster centre is assigned to object in nearest cluster, when cluster centre does not change, output cluster knot
Fruit is simultaneously stored in data storage server.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110807449A (en) * | 2020-01-08 | 2020-02-18 | 杭州皓智天诚信息科技有限公司 | Science and technology project application on-line service terminal |
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Application publication date: 20191008 |