CN113128915A - Intelligent scientific research data management and analysis system and analysis method - Google Patents
Intelligent scientific research data management and analysis system and analysis method Download PDFInfo
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Abstract
The invention belongs to the technical field of scientific research data management, and particularly relates to an intelligent scientific research data management and analysis system and an intelligent scientific research data management and analysis method. According to the intelligent scientific research data management and analysis system and method, data is set to be sent to the cooperative platform in a forward direction or received, processed and stored in the database in a reverse direction so as to complete automatic and timely updating, and therefore the technical problems that a traditional management mode is exposed, information transmission efficiency is low, updating cannot be performed timely, retrieval and lookup are difficult, and the control force of a scientific research direction is limited are solved.
Description
Technical Field
The invention relates to the technical field of scientific research data management, in particular to an intelligent scientific research data management and analysis system and an intelligent scientific research data management and analysis method.
Background
In the scientific research development field, the conventional scientific and technological data reporting work mainly adopts paper or electronic form reporting to perform manual summary, and filing, sorting and management of data consume a great deal of energy of management department staff. When a management department makes scientific and technological decisions and plans the scientific and technological force input direction, a large amount of scientific and technological information is needed. These scientific and technical intelligence are currently only manually recorded and summarized. With the continuous increase of scientific and technological achievements, the traditional management mode has exposed the problems of low information transmission efficiency, incapability of updating in time, difficulty in retrieval and lookup, lack of pertinence in management, limited control force of scientific research direction and the like, the scientific research advantages of companies can not be fully exerted, and the automatic cooperation of scientific and technological resource management work is not realized.
Disclosure of Invention
The invention provides an intelligent scientific research data management and analysis system and an intelligent scientific research data management and analysis method based on the technical problems that the existing traditional management mode has low information transmission efficiency, cannot be updated in time, is difficult to retrieve and look up and limits the control force of scientific research directions.
The invention provides an intelligent scientific research data management and analysis system which comprises a collaborative management platform, wherein a display operation unit is arranged in the collaborative management platform and comprises a homepage, and the display operation unit is also provided with an access window of a scientific and technological ledger management module, a scientific research management module, a result reward management module, a supervision task management module, a report management module and a system configuration module which are displayed in parallel with the homepage of the platform;
the scientific and technological standing account management module comprises a patent standing account sub-module, a software copyright standing account sub-module, a result standing account sub-module, a reward standing account sub-module, a standard standing account sub-module, a first-aid technology standing account sub-module, an innovation platform standing account sub-module, a scientific and technological development plan standing account sub-module, a work and comment standing account sub-module, an expert resource library sub-module and a subject library sub-module;
the scientific research management module comprises a guide suggestion collection submodule, a subject item establishment submodule, a subject contract signing submodule, a subject progress management submodule, a scientific research expenditure payment submodule, a subject change management submodule, an outcome check and acceptance submodule and an external subject record declaration submodule;
the result reward management module comprises a result evaluation sub-module, a reward evaluation sub-module and a social reward filing and reporting sub-module.
The cooperative management platform is also internally provided with a data analysis unit, the data analysis unit comprises a background server used for data stack storage, the background server is in signal connection with a data analyzer used for processing data types, and the data analyzer controls a network distributor to respectively utilize a wired/wireless network to forward and send data to the cooperative management platform or reversely receive, process and store the data in a database according to the types after the data types are sorted out.
Preferably, the data analyzer classifies, calls and stores formats of document data, picture data and video data;
and the data analyzer classifies the document data and the picture data in the data analyzer by adopting an RBF neural network.
Through the technical scheme, the scientific research data are divided into common types, and the whole background server can conveniently realize centralized management according to the data types.
Preferably, the network distributor distributes the document data, the picture data and the video data, which are transmitted from the data analyzer, to the wired/wireless network before being transmitted according to format/size.
By the technical scheme, the applicable networks are respectively adopted for transmission according to the types of the document data, the picture data and the video data, so that the slow jamming problem of a single-type network in the process of large data transmission can be avoided.
Preferably, the wired/wireless network is transmitted to the cooperative management platform or back to the database according to different types of data, and the wired/wireless network comprises a wired network of an optical fiber network cable and a wireless network of 3G/4G/5G.
By the technical scheme, all the split data are respectively stored in the database according to different types of the split data, so that centralized intelligent management is facilitated;
meanwhile, an optimal transmission network is selected according to the data type, because the transmission time and the transmission speed of different types of data have large front-back difference, the network speed of a single network is greatly occupied, and other idle networks are wasted, for example, when a single machine account or a single type in the analysis display system simultaneously contains document, picture and video information, the document or the picture with small storage can be transmitted by using a partially idle G network according to the existing network type, when the data volume is large, the G network is used for assisting transmission, and the video is transmitted by using G/G with relatively high speed, so that the network congestion can not be caused in the same transmission time, the transmission requirement can also be realized, and the cost can be reduced.
Preferably, the display operation unit is further provided with a retrieval module, the retrieval module is in signal connection with the database, a retrieval keyword is input through the retrieval module, associated target data in the database are taken out and displayed through the display operation unit, the target data information is sorted according to the matching weight, and content corresponding to the retrieval keyword in the target data information is highlighted.
The invention also discloses an intelligent scientific research data management and analysis method, wherein the analysis method comprises a website for user module login, and the user module clicks the website login and selects a corresponding analysis window to initiate a data analysis task;
the data analysis unit splits the data type in the data task according to the analysis window, and establishes a temporary comparison library and sets a comparison threshold after splitting the data type into keywords, pictures and videos in the data type;
matching, comparing and analyzing the data in the temporary comparison library and the data in the database to obtain a threshold value of similarity, and judging whether the threshold value is qualified or not after the threshold value is compared with the comparison threshold value:
if the result is qualified, continuing to execute the next step of analysis and comparison;
if not, returning to modify or refute;
after the threshold is judged to be qualified after being compared with the comparison threshold, the temporary database is reorganized and stored into the database according to the data in the temporary database which is judged to be qualified at the last time, and is finally displayed in each analysis window according to the data type;
and the user module logs in through the website to refresh and check the finally updated real-time state of the data task, and exports data according to the respective data demand type of the updated data in the database at each analysis window.
Through the technical scheme, the P1 and the user module enter a platform homepage through a website and log in the whole data system by using an account and a password applied by an administrator;
p2, transacting specific affairs through entering each window of the scientific and technological ledger management module, the scientific and technological management module, the achievement reward management module, the supervision task management module, the report management module and the system configuration module displayed in the home page;
the P3 system searches the keyword in the document, picture or video according to the request information of the task, compares the keyword with the preset comparison threshold value again, separates the information in the threshold value within the comparison threshold value and transmits the information through the wired/wireless network;
and P4, when the information is transmitted to the task starting point, the information is refreshed according to the types of the information and then is respectively displayed on the scientific and technical ledger management module, the scientific research management module, the achievement reward management module, the supervision task management module, the report management module and the system configuration module for checking.
Preferably, the website login comprises an account module and a password module;
the account module and the password module are acquired by issuing by an administrator after the user module registers by means of identity information and a mobile phone number, and the password module can modify the verification code through the mobile phone number.
Through the technical scheme, real-name registration is carried out by utilizing real information of individuals or organizations, password modification is carried out through mobile phone numbers, applicability can be increased to a great extent, one person can carry out password modification, disorder is avoided, work relations which are not in the system in the later stage can be closed by an administrator, and information safety is guaranteed.
Preferably, the initiating form of the data task includes a document data form, a picture data form and a video data form, after the user module (8) initiates the data task, an operation authority level is preset corresponding to each user module (8), and the operation authority level can be modified through application of an administrator.
By the technical scheme, data can be intelligently managed conveniently, the set threshold value and the threshold value can be modified according to different types and sizes of the data, and the finished or outdated data can be automatically filtered.
Preferably, after the threshold is compared with the comparison threshold, the data in the data task is reversely stored into the database to expand the database after being judged to be qualified.
By the technical scheme, after the newly-initiated task is completed, the whole data is automatically stored in the database, so that the information in the database is updated conveniently, and the self-learning effect of the system is realized.
Preferably, an accumulator for recording the number of times of modification of a single data task is arranged in the temporary comparison library, and when it is determined that the number of times of ineligibility of the threshold is added to a set value after the threshold is compared with the comparison threshold, the data analysis unit executes a reject instruction;
and processing the data of the threshold and the comparison threshold by adopting a perception neural network.
Through the technical scheme, when the modification times initiated by the task exceed a certain number, the task is automatically rejected, and the management of a data system can be facilitated.
Preferably, after the user module logs in through the website, the user module exports data according to the respective data demand types of the updated data in the database in each analysis window.
Through the technical scheme, the data packets can be downloaded according to respective requirements and respective authorities.
The beneficial effects of the invention are as follows:
the invention realizes the effect of high overall data transmission efficiency by setting different types of wired/wireless networks; setting data to be sent to the collaborative management platform in a forward direction or reversely received, processed and stored in a database so as to complete automatic and timely updating; in addition, after being refreshed according to various information categories, the information is respectively displayed on a scientific and technological ledger management module, a scientific and technological management module, a result reward management module, a supervision task management module, a report management module and a system configuration module for checking, so that the problems that the retrieval and the checking are difficult and the control force of the scientific research direction is limited in the conventional scientific and technological data management method can be solved; therefore, the technical problems that the traditional management mode is exposed, the information transmission efficiency is low, the information cannot be updated in time, the retrieval and the lookup are difficult, and the control of the scientific research direction is limited are solved.
Drawings
FIG. 1 is a block diagram of an intelligent scientific research data management and analysis system according to the present invention;
FIG. 2 is a schematic diagram of an intelligent scientific data management analysis method according to the present invention;
FIG. 3 is a first page diagram of website login for an intelligent scientific research data management and analysis system and method according to the present invention;
FIG. 4 is a display diagram of a home page of an intelligent scientific data management and analysis system and method according to the present invention;
FIG. 5 is a click diagram of a password modification window of an intelligent scientific data management and analysis system and method according to the present invention;
FIG. 6 is a modified password window input diagram of an intelligent scientific data management and analysis system and method according to the present invention;
FIG. 7 is a diagram of a system configuration module permission setting for an intelligent scientific research data management and analysis system and method according to the present invention;
fig. 8 is a display diagram of a report management module of an intelligent scientific research data management and analysis system and an intelligent scientific research data management and analysis method according to the present invention.
In the figure: 1. a collaborative management platform; 2. a platform homepage; 21. a scientific and technological ledger management module; 22. a scientific research management module; 23. a result reward management module; 24. a supervision task management module; 25. a report management module; 26. a system configuration module; 3. a background server; 4. a data analyzer; (ii) a 5. A network distributor; 6. a wired/wireless network; 7. a database; 8. a user module; 9. a web address; 10. comparing threshold values; 11. a threshold value; 12. an account module; 13. a cryptographic module; 14. and an accumulator.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Referring to fig. 1-8, an intelligent scientific research data management and analysis system comprises a collaborative management platform 1, wherein a display operation unit is arranged in the collaborative management platform 1, and the display operation unit comprises a platform homepage 2;
as shown in fig. 3-4, after the platform homepage 2 is logged in, the display operation unit further includes an access window for a scientific and technological ledger management module 21, a scientific research management module 22, a result reward management module 23, an administration task management module 24, a report management module 25, and a system configuration module 26, which are displayed in parallel with the platform homepage 2;
the scientific and technological standing management module 21 comprises a patent standing sub-module 211, a software copyright standing sub-module 212, a result standing sub-module 213, a reward standing sub-module 214, a standard standing sub-module 215, a first-creation technology standing sub-module 216, an innovation platform standing sub-module 217, a scientific and technological development plan standing sub-module 218, a work-annotation standing sub-module 219, an expert resource library sub-module 220 and a subject library sub-module 221;
the patent standing book submodule 211 is configured to manage calculation statistics of application, progress tracking, and fee payment of the whole patent; the software copyright standing book sub-module 212 is used for managing the software copyright, and the management mode is the same as that of the patent standing book sub-module; the achievement standing book sub-module 213 is used for managing later application and experiment management of the patent or software works; the reward account sub-module 214 is used for reward management of various account generations; the standard standing book sub-module 215 is used for standard line management generated by each standing book; the initiative technology standing account sub-module 216 is used for technology management of first innovation; the innovation platform ledger module 217 is used for management of new ideas, solutions or opinions; the scientific and technological development plan ledger sub-module 218 is used for management on technical planned development; the work annotating platform account sub-module 219 is used for the work and business management of various sub-companies related to the work of the system; the expert resource library submodule 220 is used for the management of technical experts in the whole system; topic library submodule 221 is used to manage all topics that need to be studied or are being studied within the system. The user can also add new ledger options or adjust the use and use mode of one or some ledger options according to the needs of production and management. The standing book input comprises input of system internal data and external data, and comprehensiveness of the standing book data is improved.
The scientific research management module 22 comprises a guideline suggestion collection submodule 222, a topic establishment submodule 223, a topic contract signing submodule 224, a topic progress management submodule 225, a scientific research expenditure payment submodule 226, a topic change management submodule 227, an outcome check and acceptance submodule 228 and an external topic record declaration submodule 229;
wherein the guide suggestion solicitation sub-module 222 is used to manage suggestions or ideas in the various jobs; the topic project establishment submodule 223 is used for managing project establishment implementation of feasibility topics; the topic contract signing submodule 224 is used for managing contract signing on the determined topic; the topic progress management submodule 225 is used for tracking the progress after the topic contract submodule 224 is signed; the scientific research fund payment submodule 226 is used for the payment management of all expenses; the topic change management submodule 227 is used for change management in the process of topic progress; the question ending acceptance submodule 228 is used for managing the acceptance of the task ending; the external topic registration declaration sub-module 229 is used for registration management of external topics of the system.
The result reward management module 23 comprises a result evaluation sub-module 231, a reward evaluation sub-module 232 and a social reward filing and reporting sub-module 233;
the result evaluation submodule 231 is used for evaluating various results; the reward evaluation submodule 232 is used for managing the establishment of various reward evaluation submodule standards; the social reward docketing sub-module 233 is used for docketing management of reward mechanisms generated by collaboration outside the system.
The supervision task management module 24 is used for supervising tasks in the whole system; the report management module 25 is used for importing and exporting data in all authorities; the system configuration module 26 is used for setting all accounts, passwords, rights and the like in the system by an administrator.
As shown in fig. 1, a data analysis unit is further disposed in the cooperative management platform 1, the data analysis system includes a background server 3 for data stack storage, the background server 3 is connected with a data analyzer 4 for processing data types in a signal manner, and the data analyzer 4 controls a network distributor 5 to forward and send data to the cooperative management platform 1 or reversely receive, process and store the data in a database 7 according to the type after the data types are sorted out by the data analyzer 4.
The data analyzer 4 can analyze data in the scientific and technological ledger management module 21, the scientific research management module 22, the achievement reward management module 23, the supervision task management module 24, the report management module 25 and the system configuration module 26, specifically, the data can be in the format of document data, picture data and video data, and the data analyzer 4 classifies, calls and stores the format of the document data, the picture data and the video data. So that the data of different functional modules can be analyzed separately and stored and used independently. The calling work can generate reports as required, so that the overall control is convenient, in scientific research management, data analyzed by the scientific and technological ledger management module 21, the scientific research management module 22, the achievement reward management module 23, the supervision task management module 24, the report management module 25 and the system configuration module 26 can be conveniently combined with enterprise management requirements, users can integrate service management and data analysis into a whole, support each other, and guide historical data to analyze deviation and evaluate reasons generated by contrasting the historical data with the existing data conditions of current establishment, achievement, reward and the like, so as to guide establishment, achievement and reward evaluation.
Meanwhile, for the progress of each functional module, a short message reminding function can be set to remind a project progress report, finish examination and approval and an expert to review, so that a user can master work better and promote the progress of the project.
Specifically, the data analyzer 4 classifies document and picture data therein using an RBF neural network. The RBF neural network (RBF — Radial Basis Function), also known as the Radial Basis Function, is a neural network proposed by j.moody and c.darken at the end of the 80 s, which is a three-layer feed-forward network with a single hidden layer. Because the RBF network simulates the neural network structure of local adjustment and mutual coverage of receiving domains in the human brain, the RBF network is a local approximation network, can approximate any continuous function with any precision, and is particularly suitable for solving the problem of image classification. The invention classifies the document and picture data by adopting the RBF neural network, and can improve the accuracy of classifying the document and picture data. The scientific research data are divided into common types, so that the whole background server 3 can conveniently realize centralized management according to the data types.
Further, the network distributor 5 distributes the document data, the picture data, and the video data, which are analyzed and transmitted from the data analyzer 4, to the wired/wireless network 6 before transmission according to the format/size.
And the data are respectively transmitted by adopting the applicable networks according to the types of the document data, the picture data and the video data, so that the problem of slow jamming of a single-type network in the process of transmitting big data is avoided.
Further, the wired/wireless network 6 is transmitted to the collaborative management platform 1 or back to the database 7 according to different types of data, and the wired/wireless network 6 comprises a wired network of an optical fiber network and a wireless network of 3G/4G/5G.
All the split data are respectively stored in the database 7 according to different types, so that centralized intelligent management is facilitated;
in this embodiment, an optimal transmission network is selected according to the data type, because the difference between the transmission time and the transmission speed of different types of data is large, the network speed of a single network is occupied greatly, and other idle networks are wasted, for example, when a single account or category in the analysis display system simultaneously contains documents, pictures and video information, documents or pictures with small storage can be transmitted by using a 3G network which is already partially idle according to the existing network type, when the data amount is large, the 4G network is used for assisting transmission, and videos are transmitted by using 4G/5G with relatively high speed, so that the network congestion is not caused in the same transmission time, the transmission requirement can be realized, and the cost can be reduced.
Preferably, the display operation unit of the invention is further provided with a retrieval module for retrieving and calling data in the database 7, the retrieval module is in signal connection with the database 7, a retrieval keyword is input through the retrieval module, associated target data in the database 7 are called out and displayed through the display operation unit, the target data information is sorted according to the matching weight and may be displayed in a plurality of pieces, the content corresponding to the retrieval keyword in the target data information is highlighted, and the user can automatically judge the association degree through the display times of the highlighted content in one piece of target data, so as to help the user to find the required data information as soon as possible.
The invention also discloses an intelligent scientific research data management and analysis method, wherein the analysis method comprises a website 9 for logging in by the user module 8, the website 9 is set by self-definition as required, and the user module 8 selects a corresponding analysis window to initiate a data analysis task after clicking the website 9 to log in;
the data analysis unit splits the data type in the data task according to the analysis window, and establishes a temporary comparison library and sets a comparison threshold value 10 after splitting the data type into keywords, pictures and videos in the data type;
matching, comparing and analyzing the data in the temporary comparison library and the data in the database 7 to obtain a threshold 11 of similarity, and after comparing the threshold 11 with the comparison threshold 10, judging whether the threshold 11 is qualified:
if the result is qualified, continuing to execute the next step of analysis and comparison;
if not, returning to modify or refute;
after the threshold 11 is compared with the comparison threshold 10, and the threshold 11 is judged to be qualified, the temporary database 7 is reorganized and stored in the database 7 based on the data in the temporary database 7 which is judged to be qualified for the last time, and the reorganized data is finally displayed in each analysis window according to the data type;
and the user module 8 logs in through the website 9 to refresh and check the finally updated real-time state of the data task.
For the above technical solution, the corresponding embodiment of the present invention is described, as shown in fig. 2-4, after the website is clicked, P1 and the user module 8 enter the platform homepage 2 through the website 9, and log in the whole data system by using the account and the password applied by the administrator, meanwhile, after the administrator sets the account password of the user module 8, the administrator can further define the login ID of the login port (computer or other display terminal), and only define the ID of one or a few login terminals, so as to avoid the leakage of internal system data after the account password is carelessly leaked;
p2, transacting concrete affairs through entering each window of the scientific and technological ledger management module 21, the scientific research management module 22, the achievement reward management module 23, the supervision task management module 24, the report management module 25 and the system configuration module 26 displayed in the platform homepage 2;
the P3 system searches the data system with higher matching degree in the database 7 according to the keyword in the document, picture or video of the information divided by the request information of the task and compares the data system with the preset comparison threshold value again, and separates the information in the threshold value within the comparison threshold value and transmits the information through the wired/wireless network 6;
and when the information is transmitted to the task starting point, the information is refreshed according to the types of the information and then is respectively displayed on the scientific and technological ledger management module 21, the scientific research management module 22, the achievement reward management module 23, the supervision task management module 24, the report management module 25 and the system configuration module 26 for viewing.
Further, the website 9 login comprises an account module 12 and a password module 13;
in this embodiment, as shown in fig. 2 and fig. 5 to 6, the account module 12 and the password module 13 are issued and obtained by an administrator after the user module 8 registers by using identity information and a mobile phone number, and the password module 13 may modify the verification code by using the mobile phone number.
The real information of an individual or an organization is utilized to carry out real-name registration, and password modification is carried out through a mobile phone number, so that the applicability can be increased to a great extent, one person can carry out password modification, disorder is avoided, the working relation which is not in the system at the later stage can be closed by an administrator, and the safety of information is ensured.
Furthermore, the initiating form of the data task comprises a document data form, a picture data form and a video data form, after the user module (8) initiates the data task, an operation authority level is preset corresponding to each user module (8), and the operation authority level can be modified through application of an administrator.
Through presetting the operation authority level to user module (8), can make things convenient for the whole management of data and improve the security, for example ordinary staff can only carry out corresponding professional data input and adjustment, but can not carry out the deletion of previous data, also can not increase new task direction, and the administrator of high level can increase and delete new task direction, also can summarize analysis etc. also, this kind of setting improves user's intelligent use degree on the one hand, on the other hand can effectively protect the business secret of enterprise or the management flexibility.
Further, after the threshold 11 is compared with the comparison threshold 10, the data in the data task is reversely stored in the extended database 7 in the database 7 after being judged to be qualified.
After the newly initiated task is completed, the whole data is automatically stored in the database 7, so that the information in the database is convenient to update, and the self-learning effect of the system is realized.
Furthermore, an accumulator 14 for recording the number of times of modification of a single data task is arranged in the temporary comparison library, and when the number of times that the threshold 11 is determined to be unqualified after the threshold 11 is compared with the comparison threshold 10 is accumulated to a set value, the data analysis unit executes a rejection instruction;
the threshold 11 and the comparison threshold 10 both adopt a perception neural network to process the data; the perceptual neural network is a neural network with a single layer of computational neurons, and the transfer function of the network is a linear threshold unit. The original perceptron neural network has only one neuron. The method is mainly used for simulating the perception characteristics of human brain, and only two values can be output due to the fact that a threshold value unit is adopted as a transfer function, so that the method is suitable for the simple mode classification problem. When the perceptron is used for classifying two types of modes, the two types of samples are separated by a hyperplane in a high-dimensional sample space, but the single-layer perceptron can only process a linear problem and cannot process a nonlinear or linear indistinguishable problem. Assuming that p is an input vector, w is a weight matrix vector, and b is a threshold vector, since its transfer function is a threshold unit, i.e. a so-called hard clipping function, the decision boundary of the perceptron is wp + b, and when wp + b > is 0, it is determined as class 1, otherwise, it is determined as class 2. The invention uses the perception neural network for the data processing of the threshold value 11 and the comparison threshold value 10, is used for setting various threshold values, automatically forms the comparison, and improves the intellectualization and the accuracy.
When the modification times initiated by the task exceed a certain number, the task is automatically rejected, and the management of a data system can be facilitated.
Further, after logging in through the website 9, the user module 8 exports data according to the respective data demand types of the updated data in the database 7 in each analysis window.
In this embodiment, as shown in fig. 7 to 8, through the authority preset by the administrator, the data package in the authority of the account can be downloaded according to the respective requirements and the respective authorities.
The invention takes the patent standing book sub-module 211 as an example, and concretely explains the working flow of the system:
firstly, before patent application, an account is applied by using identity information of a user module 8, after the application is initiated, a system configuration module 26 is automatically sent to a page of an administrator, the administrator operates a system, an exclusive and unique account and an original password are configured and sent to a mobile phone number reserved by the user module 8 through a short message, the user module 8 clicks a website 9 through the account and the password, inputs the account and the original password and logs on to a platform homepage 2 shown in fig. 3, and modifies the original password displayed by the account at the upper right corner in fig. 3, wherein the modifying steps are shown in fig. 5-6;
step two, patent application, namely, importing the electronic file of the patent into the system by using the report management module 25, if the document has obvious errors, automatically returning the system to the page where the application account is located for modification, and if the modification times exceed the set times of the accumulator 14, directly returning the application of the task, and ending the process;
step three, after the applied document has no format error, the database 7 stores information and then synchronously updates the information to the page of the upper-level department for examination and approval, and meanwhile, the task management module 24 is supervised to temporally supervise and urge the task;
step four, after application, relevant (such as examination/correction) content appears in the process of applying for a patent, an applicant downloads and uploads the relevant content to the platform through a system to display a current taskbar as shown in fig. 8, and replies at the same time, documents, pictures or video data required in the reply process are called from the database 7 by using the background server 3, during calling, the system calls according to input keywords and exports the keywords through the report management module 25, and contents of the statement books or correction specifications to be rearranged, the relevant comparison pages and the replacement pages are uploaded to the platform through the report management module 25 and are simultaneously stored and updated in the database 7;
during the period of calling the document, the picture or the video, the background server 3 sends a command according to the format/size of the document, the picture or the video, so that the network distributor 5 distributes a proper wired/wireless network 6 according to the content of the specific format/size for transmission;
after the related patents are authorized, the scientific research management module 22 makes a judgment of the result acceptance sub-module 228, the patent account sub-module 211 automatically calls the reward standard in the standard account sub-module 215 to generate a reward bill, meanwhile, the initiative technology account sub-module 216, the innovation platform account sub-module 217 and the scientific and technological development plan account sub-module 218 call related data, and after the related reward bill is made, the reward account sub-module 214 sends rewards to the specified account of the related patent applicant according to the reward bill and records the rewards bill in the database 7.
The invention realizes the effect of high overall data transmission efficiency by arranging different types of wired/wireless networks 6; setting data to be sent to the collaborative management platform 1 in a forward direction or reversely receiving, processing and storing the data into a database 7 so as to complete automatic and timely updating; in addition, after being refreshed according to various information categories, the information is respectively displayed on the scientific and technological ledger management module 21, the scientific and technological management module 22, the achievement reward management module 23, the supervision task management module 24, the report management module 25 and the system configuration module 26 for checking, so that the problems that the conventional scientific and technological data management method is easy to cause difficulty in retrieval and lookup and the control force of scientific research directions is limited can be solved; therefore, the technical problems that the traditional management mode is exposed, the information transmission efficiency is low, the information cannot be updated in time, the retrieval and the lookup are difficult, and the control of the scientific research direction is limited are solved.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (10)
1. The utility model provides an intelligent scientific research data management analytic system which characterized in that: the system comprises a collaborative management platform (1), wherein a display operation unit is arranged in the collaborative management platform (1), the display operation unit comprises a platform homepage (2), and the display operation unit is also provided with an access window of a scientific and technological ledger management module (21), a scientific research management module (22), a result reward management module (23), a supervision task management module (24), a report management module (25) and a system configuration module (26) which are displayed in parallel with the platform homepage (2);
the cooperative management platform is characterized in that a data analysis unit is further arranged in the cooperative management platform (1), the data analysis unit comprises a background server (3) used for data stack storage, the background server (3) is in signal connection with a data analyzer (4) used for processing data types, and the data analyzer (4) is used for controlling a network distributor (5) to forward and send data to the cooperative management platform (1) or reversely receive, process and store the data in a database (7) according to the types after the data types are sorted out.
2. The intelligent scientific data management and analysis system according to claim 1, wherein: the data analyzer (4) classifies, calls and stores formats of the document data, the picture data and the video data;
and the data analyzer (4) classifies the document data and the picture data in the data analyzer by adopting an RBF neural network.
3. The intelligent scientific data management and analysis system according to claim 2, wherein: the network distributor (5) distributes the document data, the picture data and the video data which are analyzed and transmitted from the data analyzer (4) to the wired/wireless network (6) before being transmitted according to the format/size.
4. The intelligent scientific data management and analysis system according to claim 3, wherein: the wired/wireless network (6) is transmitted to the cooperative management platform (1) or back to the database (7) according to different types of data, and the wired/wireless network (6) comprises a wired network of an optical fiber network cable and a wireless network of 3G/4G/5G.
5. The intelligent scientific data management and analysis system according to claim 1, wherein: the display operation unit is further provided with a retrieval module, the retrieval module is in signal connection with the database (7), retrieval keywords are input through the retrieval module, associated target data in the database (7) are taken out and displayed through the display operation unit, the target data information is sorted according to the matching weights, and contents corresponding to the retrieval keywords in the target data information are highlighted.
6. An intelligent scientific research data management analysis method is characterized by comprising the following steps: the analysis method comprises a website (9) for logging in by a user module (8), wherein the user module (8) clicks the website (9) to log in and then selects a corresponding analysis window to initiate a data analysis task;
the data analysis unit splits the data type in the data task according to the analysis window, and establishes a temporary comparison library and sets a comparison threshold (10) after splitting the data type into keywords, pictures and videos in the data type;
matching and contrastively analyzing the data in the temporary contrasted library and the data in the database (7) to obtain a threshold (11) of similarity, and judging whether the threshold (11) is qualified or not after the threshold (11) is contrasted with the contrast threshold (10):
if the result is qualified, continuing to execute the next step of analysis and comparison;
if not, returning to modify or refute;
after the threshold (11) is compared with the comparison threshold (10) and then the threshold (11) is judged to be qualified, the temporary comparison library is recombined based on the data in the temporary comparison library which is judged to be qualified for the last time, then stored in the database (7) and finally displayed in each analysis window according to the data type;
and the user module (8) logs in through the website (9) to refresh and view the finally updated real-time state of the data task, and exports data according to the updated data in the database (7) in the respective data demand types of the analysis windows.
7. The intelligent scientific data management and analysis method according to claim 6, wherein the method comprises the following steps: the website (9) login comprises an account module (12) and a password module (13);
the account module (12) and the password module (13) are registered by the user module (8) according to identity information and a mobile phone number and then issued and obtained by an administrator, and the password module (13) can modify the verification code through the mobile phone number.
8. The intelligent scientific data management and analysis method according to claim 7, wherein the scientific data management and analysis method comprises the following steps: the initiating form of the data task comprises a document data form, a picture data form and a video data form, after the user modules (8) initiate the data task, the corresponding user modules (8) are preset with operation authority levels, and the operation authority levels can be modified through application of an administrator.
9. The intelligent scientific data management and analysis method according to claim 6, wherein the method comprises the following steps: and after the threshold (11) is compared with the comparison threshold (10), judging that the data is qualified, reversely storing the data in the data task into the database (7) to expand the database (7).
10. The intelligent scientific data management and analysis method according to claim 6, wherein the method comprises the following steps: an accumulator (14) for recording the modification times of the single data task is arranged in the temporary comparison library, and when the times of the threshold (11) being determined to be unqualified are accumulated to a set value after the threshold (11) is compared with the comparison threshold (10), the data analysis unit executes a rejection instruction;
and the threshold (11) and the comparison threshold (10) both adopt a perception neural network to process the data.
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