CN115983239A - Electric power industry information exchange platform system based on high-frequency vocabulary algorithm - Google Patents

Abstract

The invention relates to the technical field of document management, in particular to an electric power industry information exchange platform system based on a high-frequency vocabulary algorithm. The method comprises the following steps: the document uploading module is used for acquiring a document, detecting high-frequency words appearing in the document in real time, and attaching label information to the document according to the high-frequency words, wherein the label information comprises a plurality of high-frequency words appearing in the document; the intelligent pushing module is used for intelligently pushing the documents containing the search vocabulary according to the input search vocabulary; an intelligent AI recommendation algorithm is arranged in the intelligent pushing module, and the intelligent pushing module is used for intelligently pushing a document corresponding to the tag information containing the search vocabulary according to the intelligent AI recommendation algorithm in combination with a big data search engine. According to the invention, through the intelligent AI recommendation algorithm, the corresponding documents can be effectively pushed and checked by different post workers at corresponding time, so that corresponding work is assisted to be completed, and the overall working efficiency is improved.

Description

A power industry information exchange platform system based on high-frequency vocabulary algorithm

Background technique

At present, there are a large number of documents in the power industry that need to be stored and transmitted, including various categories such as project documents, process documents, and daily documents. In addition to the exchange of document information, it is also necessary to satisfy the evaluation of documents by various staff members and the operation of version update and revision. At the same time, it is also necessary to classify and bind various documents.

However, in the existing technology, there are mainly two types of platforms for document information management on the market. One of them is based on the management of documents, and the design is based on the storage of documents, and does not involve the exchange of document information. Although it can satisfy the storage and update of documents, in the case of multi-person collaborative work, various errors often occur due to messy versions, and the other is based on data collaboration. This type of design fully considers The convenience of collaboration, but often does not consider the full lifecycle management of document information, and cannot effectively manage the confidentiality and security of document data. Therefore, how to provide a power industry information exchange platform system based on a high-frequency vocabulary algorithm is a technical problem urgently needed to be solved by those skilled in the art.

Contents of the invention

The purpose of the present invention is to provide a power industry information exchange platform system based on a high-frequency vocabulary algorithm. The present invention uses an intelligent AI recommendation algorithm to effectively push and view corresponding documents at corresponding times for staff in different positions to assist Complete the corresponding work and improve the overall work efficiency.

The present invention improves the existing technology. Document information management is mainly based on the management of documents, and more designs are based on the storage of documents. It does not involve the exchange of document information and cannot satisfy the situation of multi-person collaborative work. According to the input search vocabulary, the invention intelligently pushes the documents corresponding to the label information containing the search vocabulary through the intelligent AI recommendation algorithm combined with the big data search engine, which satisfies the intelligent push function in the case of multi-person collaborative work, and also according to Different positions push different numbers of documents, which ensures that the data is prevented from being leaked, and it has a certain degree of security while being efficient.

The present invention improves the prior art. In the process of document management, the documents are retrieved and pushed according to the keywords, which does not have strong coverage and cannot cover all associated documents involved in the keywords, resulting in insufficient comprehensive data, thus The problem that affects the accuracy of the work, the present invention obtains the associated words whose semantic similarity with the search words is greater than the preset similarity threshold according to the input search words, and intelligently pushes the documents containing the associated words, which improves the data coverage. The document level expands the visibility of the overall data and improves the accuracy of the work.

In order to achieve the above object, the present invention provides the following technical solutions:

A power industry information exchange platform system based on high-frequency vocabulary algorithm, including:

Document creation module, the document creation module is used to create documents including power industry information;

The document upload module, the document upload module is used to obtain the document, and detects the high-frequency words appearing in the document in real time, and attaches label information to the document according to the high-frequency words, and the label information includes several high-frequency words appearing in the document;

The intelligent push module is used to intelligently push the documents containing the search terms according to the input search terms;

The intelligent push module is equipped with an intelligent AI recommendation algorithm, and the intelligent push module is used to intelligently push the documents corresponding to the label information containing the search terms according to the intelligent AI recommendation algorithm combined with the big data search engine.

In some embodiments of the present application, the intelligent AI recommendation algorithm is used to detect the document, and extract some high-frequency words in the document, determine the keywords of the document according to the several high-frequency words, and calculate the click rate coefficient of the keywords;

The clickthrough rate factor is calculated by the following formula:

In the formula, Q is the browsing rate coefficient, S is the number of keywords clicked and viewed, and M is the total number of keywords viewed.

In some embodiments of the present application, the intelligent AI recommendation algorithm is also used to calculate the search frequency coefficient of the keyword when the keyword is input as the search vocabulary;

The search frequency coefficient is calculated by the following formula:

In the formula, P is the search frequency coefficient, S is the number of keyword searches, and M is the total number of keyword searches;

The intelligent AI recommendation algorithm is also used to push the sub-files at the corresponding push time according to the click browsing rate coefficient and search frequency coefficient;

The push time is calculated by the following formula:

In the formula, R is the push time, Q is the browsing rate coefficient, and P is the search frequency coefficient.

In some embodiments of the present application, also include:

A document update module, the document update module is used to send a notification to the document creation module after the document is updated, and retain the document before the update;

The document creation module is provided with a document editing unit and a document review unit, the document editing unit is used to edit the document, and the document review unit is used to review the edited document.

In some embodiments of the present application, the document upload module is also used to obtain the post information of the uploader who uploads the document, and attach post tag information to the document according to the post information, and the post tag information includes the post information of the uploader;

The intelligent push module is also used to intelligently push documents corresponding to the same job label information according to the post label information attached to the document when intelligently pushing documents containing search terms.

In some embodiments of the present application, the intelligent push module is also used to obtain post information, and the post information includes the post authority level N, and the intelligent push module is also used to determine the smart push document according to the post authority level when the document is intelligently pushed. quantity;

The intelligent push module is preset with a preset position authority level matrix T0 and a preset push document quantity matrix A. For the preset push document quantity matrix A, set A (A1, A2, A3, A4), where A1 is the first The number of preset push documents, A2 is the second preset number of push documents, A3 is the third preset number of push documents, A4 is the fourth preset number of push documents, and A1<A2<A3<A4; for the preset post authority Level matrix T0, set T0 (T01, T02, T03, T04), where T01 is the first preset post authority level, T02 is the second preset post authority level, T03 is the third preset post authority level, T04 It is the fourth preset post authority level, and T01<T02<T03<T04;

According to the relationship between K and the preset position authority level matrix T0, select the corresponding number of push documents as the number of smart push documents;

When K<T01, select the first preset push document quantity A1 as the quantity of smart push documents;

When T01≤K<T02, select the second preset push document quantity A2 as the quantity of smart push document;

When T02≤K<T03, select the third preset push document quantity A3 as the quantity of smart push document;

When T03≦K<T04, the fourth preset quantity A4 of documents to be pushed is selected as the number of documents to be intelligently pushed.

In some embodiments of the present application, the intelligent push module is also used to obtain associated words whose semantic similarity with the search words is greater than a preset similarity threshold according to the input search words, and intelligently push documents containing associated words.

In some embodiments of the present application, the intelligent push module is also used to detect the historical search times of several search terms in real time when inputting search terms, if there are multiple search terms, and determine according to the historical search times of each search term The most frequently searched search term is used, and the documents corresponding to the most frequently searched search term are preferentially pushed.

In some embodiments of the present application, the intelligent AI recommendation algorithm is used to use high-frequency words that appear more than or equal to 3 times in the document as keywords of the document.

In some embodiments of the present application, the preset similarity threshold is 0.8.

The present invention provides a power industry information exchange platform system based on a high-frequency vocabulary algorithm. Compared with the prior art, its beneficial effect lies in:

(1) The platform system supports multiple online collaborative editing, extended editing and other functions, and has a message reminder function for the document change and update process;

(2) Through the intelligent push and sharing of documents, push them to designated staff according to the job information, which improves the collaboration between users and the efficiency of enterprise operations;

(3) The disclosure of sensitive data information is prevented by means of document permission review;

(4) Based on the AI intelligent recommendation technology, the staff in different positions can effectively push and view the corresponding documents at the corresponding time, which changes the traditional operation mode and improves the overall work efficiency.

Description of drawings

Fig. 1 is a functional block diagram of an electric power industry information exchange platform system based on a big data search engine and a high-frequency vocabulary algorithm in an embodiment of the present invention.

Detailed ways

The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

In the description of this application, it is to be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", The orientations or positional relationships indicated by "top", "bottom", "inner", "outer", etc. are based on the orientations or positional relationships shown in the drawings, and are only for the convenience of describing the application and simplifying the description, rather than indicating or implying References to devices or elements must have a particular orientation, be constructed, and operate in a particular orientation and therefore should not be construed as limiting the application.

The terms "first" and "second" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of indicated technical features. Thus, a feature defined as "first" and "second" may explicitly or implicitly include one or more of these features. In the description of the present application, unless otherwise specified, "plurality" means two or more.

In the description of this application, it should be noted that unless otherwise specified and limited, the terms "installation", "connection", and "connection" should be understood in a broad sense, for example, it can be a fixed connection or a detachable connection. Connected, or integrally connected; it can be mechanically connected or electrically connected; it can be directly connected or indirectly connected through an intermediary, and it can be the internal communication of two components. Those of ordinary skill in the art can understand the specific meanings of the above terms in this application in specific situations.

In the prior art, there are mainly two types of document information management platforms currently on the market, one of which is centered on document management, and is more designed based on document storage, and does not involve the exchange of document information, although It can satisfy the storage and update of documents, but in the case of multi-person collaborative work, various errors often occur due to messy versions, and the other is based on data collaboration. This type of design fully considers collaboration However, it often does not consider the full lifecycle management of document information, nor can it effectively manage the confidentiality and security of document data.

Therefore, the present invention provides a power industry information exchange platform system based on a high-frequency vocabulary algorithm. Through the intelligent AI recommendation algorithm, it can effectively push and view the corresponding documents for the staff in different positions at the corresponding time, so as to assist in completing the corresponding documents. Work, improve the overall work efficiency.

Referring to Fig. 1, the disclosed embodiment of the present invention provides a power industry information exchange platform system based on a high-frequency vocabulary algorithm, including:

Document creation module, the document creation module is used to create documents including power industry information;

The document upload module, the document upload module is used to obtain the document, and detects the high-frequency words appearing in the document in real time, and attaches label information to the document according to the high-frequency words, and the label information includes several high-frequency words appearing in the document;

The intelligent push module is used to intelligently push the documents containing the search terms according to the input search terms;

The intelligent push module is equipped with an intelligent AI recommendation algorithm, and the intelligent push module is used to intelligently push the documents corresponding to the label information containing the search terms according to the intelligent AI recommendation algorithm combined with the big data search engine.

In a specific embodiment of the present application, the intelligent AI recommendation algorithm is used to detect the document, and extract some high-frequency words in the document, determine the keywords of the document according to the number of high-frequency words, and calculate the click rate coefficient of the keywords;

The clickthrough rate factor is calculated by the following formula:

In the formula, Q is the browsing rate coefficient, S is the number of keywords clicked and viewed, and M is the total number of keywords viewed.

In a specific embodiment of the present application, the intelligent AI recommendation algorithm is also used to calculate the search frequency coefficient of the keyword when the keyword is input as the search vocabulary;

The search frequency coefficient is calculated by the following formula:

In the formula, P is the search frequency coefficient, S is the number of keyword searches, and M is the total number of keyword searches;

The intelligent AI recommendation algorithm is also used to push the sub-files at the corresponding push time according to the click browsing rate coefficient and search frequency coefficient;

The push time is calculated by the following formula:

In the formula, R is the push time, Q is the browsing rate coefficient, and P is the search frequency coefficient.

In a specific embodiment of the application, it also includes:

A document update module, the document update module is used to send a notification to the document creation module after the document is updated, and retain the document before the update;

The document creation module is provided with a document editing unit and a document review unit, the document editing unit is used to edit the document, and the document review unit is used to review the edited document.

In a specific embodiment of the present application, the document upload module is also used to obtain the post information of the uploader who uploads the document, and attach post tag information to the document according to the post information, and the post tag information includes the post information of the uploader;

The intelligent push module is also used to intelligently push documents corresponding to the same job label information according to the post label information attached to the document when intelligently pushing documents containing search terms.

In a specific embodiment of the present application, the intelligent push module is also used to obtain post information, and the post information includes the post authority level N, and the intelligent push module is also used to determine the intelligent push according to the post authority level when intelligently pushing documents. the number of documents;

The intelligent push module is preset with a preset position authority level matrix T0 and a preset push document quantity matrix A. For the preset push document quantity matrix A, set A (A1, A2, A3, A4), where A1 is the first The number of preset push documents, A2 is the second preset number of push documents, A3 is the third preset number of push documents, A4 is the fourth preset number of push documents, and A1<A2<A3<A4; for the preset post authority Level matrix T0, set T0 (T01, T02, T03, T04), where T01 is the first preset post authority level, T02 is the second preset post authority level, T03 is the third preset post authority level, T04 is the fourth preset post authority level, and T01<T02<T03<T04;

According to the relationship between K and the preset position authority level matrix T0, select the corresponding number of push documents as the number of smart push documents;

When K<T01, select the first preset push document quantity A1 as the quantity of smart push documents;

When T01≤K<T02, select the second preset push document quantity A2 as the quantity of smart push document;

When T02≤K<T03, select the third preset push document quantity A3 as the quantity of smart push document;

When T03≦K<T04, the fourth preset quantity A4 of documents to be pushed is selected as the number of documents to be intelligently pushed.

In a specific embodiment of the present application, the intelligent push module is also used to obtain associated words whose semantic similarity with the search words is greater than a preset similarity threshold based on the input search words, and intelligently perform intelligent search on documents containing associated words. push.

In a specific embodiment of the present application, the intelligent push module is also used to detect the historical search times of several search terms in real time when inputting search terms, if there are multiple search terms, according to the historical search times of each search term , determine the most frequently searched search term, and push the documents corresponding to the most frequently searched search term first.

In a specific embodiment of the present application, the intelligent AI recommendation algorithm is used to use high-frequency words that appear more than or equal to 3 times in the document as keywords of the document.

In a specific embodiment of the present application, the preset similarity threshold is 0.8.

To sum up, the present invention establishes a unified retrieval platform, obtains documents through the document upload module, and detects high-frequency words appearing in the documents in real time, and attaches label information to the documents according to the high-frequency words, and the intelligent push module searches the documents containing Intelligently push the documents of the search vocabulary, and intelligently push the documents corresponding to the label information containing the search vocabulary through the intelligent AI recommendation algorithm combined with the big data search engine, support multi-person collaborative work, and can assign tasks across time and space, Collaborative and interactive processing methods such as document collaboration and data push have improved the efficiency of collaboration between staff and the overall work efficiency of enterprises.

The above is only an implementation example of the present invention, but the scope of the present invention cannot be limited with this. All structural changes made according to the present invention, as long as they do not lose the gist of the present invention, all should be regarded as falling into the protection of the present invention. restricted within the scope.

Those skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working process and related descriptions of the above-described system can refer to the corresponding process in the foregoing method embodiments, and will not be repeated here.

It should be noted that the system provided by the above-mentioned embodiments is only illustrated by dividing the above-mentioned functional modules. In practical applications, the above-mentioned function allocation can be completed by different functional modules according to needs, that is, the embodiment of the present invention The modules or steps in the above-mentioned embodiment can be further decomposed or combined. For example, the modules in the above-mentioned embodiments can be combined into one module, and can also be further divided into multiple sub-modules to complete all or part of the functions described above. The names of the modules and steps involved in the embodiments of the present invention are only used to distinguish each module or step, and are not regarded as improperly limiting the present invention.

Those skilled in the art should be able to realize that the modules and method steps described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two, and that the programs corresponding to the software modules and method steps Can be placed in random access memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or known in the technical field any other form of storage medium. In order to clearly illustrate the interchangeability of electronic hardware and software, the composition and steps of each example have been generally described in terms of functions in the above description. Whether these functions are performed by electronic hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art may implement the described functionality using different methods for each particular application, but such implementation should not be considered as exceeding the scope of the present invention.

The term "comprising" or any other similar term is intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus/apparatus comprising a set of elements includes not only those elements but also other elements not expressly listed, or Also included are elements inherent in these processes, methods, articles, or devices/devices.

So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings, but those skilled in the art will easily understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to relevant technical features, and the technical solutions after these changes or substitutions will all fall within the protection scope of the present invention.

The above are only preferred embodiments of the present invention, and are not intended to limit the protection scope of the present invention.

Claims (10)

1. A power industry information exchange platform system based on a high-frequency vocabulary algorithm, characterized in that it includes: Document creation module, the document creation module is used to create documents including power industry information; The document upload module, the document upload module is used to obtain the document, and detects the high-frequency words appearing in the document in real time, and attaches label information to the document according to the high-frequency words, and the label information includes several high-frequency words appearing in the document; The intelligent push module is used to intelligently push the documents containing the search terms according to the input search terms; The intelligent push module is equipped with an intelligent AI recommendation algorithm, and the intelligent push module is used to intelligently push the documents corresponding to the label information containing the search terms according to the intelligent AI recommendation algorithm combined with the big data search engine. 2. A kind of electric power industry information exchange platform system based on high-frequency vocabulary algorithm according to claim 1, it is characterized in that, The intelligent AI recommendation algorithm is used to detect documents, extract some high-frequency words in the documents, determine the keywords of the documents according to several high-frequency words, and calculate the click rate coefficient of keywords; The clickthrough rate factor is calculated by the following formula:

In the formula, Q is the browsing rate coefficient, S is the number of keywords clicked and viewed, and M is the total number of keywords viewed. 3. A kind of electric power industry information exchange platform system based on high-frequency vocabulary algorithm according to claim 2, it is characterized in that, The intelligent AI recommendation algorithm is also used to calculate the search frequency coefficient of keywords when keywords are input as search terms; The search frequency coefficient is calculated by the following formula:

In the formula, P is the search frequency coefficient, S is the number of keyword searches, and M is the total number of keyword searches; The intelligent AI recommendation algorithm is also used to push the sub-files at the corresponding push time according to the click browsing rate coefficient and search frequency coefficient; The push time is calculated by the following formula:

In the formula, R is the push time, Q is the browsing rate coefficient, and P is the search frequency coefficient. 4. A kind of electric power industry information exchange platform system based on high-frequency vocabulary algorithm according to claim 1, is characterized in that, also comprises: A document update module, the document update module is used to send a notification to the document creation module after the document is updated, and retain the document before the update; The document creation module is provided with a document editing unit and a document review unit, the document editing unit is used to edit the document, and the document review unit is used to review the edited document. 5. A kind of electric power industry information exchange platform system based on high-frequency vocabulary algorithm according to claim 1, it is characterized in that, The document upload module is also used to obtain the post information of the uploader who uploads the document, and attach post label information to the document according to the post information, and the post label information includes the post information of the uploader; The intelligent push module is also used to intelligently push documents corresponding to the same job label information according to the post label information attached to the document when intelligently pushing documents containing search terms. 6. A kind of electric power industry information exchange platform system based on high-frequency vocabulary algorithm according to claim 5, it is characterized in that, The intelligent push module is also used to obtain post information, and the post information includes the post authority level N, and the intelligent push module is also used to determine the number of intelligently pushed documents according to the post authority level when intelligently pushing documents; The intelligent push module is preset with a preset position authority level matrix T0 and a preset push document quantity matrix A. For the preset push document quantity matrix A, set A (A1, A2, A3, A4), where A1 is the first The number of preset push documents, A2 is the second preset number of push documents, A3 is the third preset number of push documents, A4 is the fourth preset number of push documents, and A1<A2<A3<A4; for the preset post authority Level matrix T0, set T0 (T01, T02, T03, T04), where T01 is the first preset post authority level, T02 is the second preset post authority level, T03 is the third preset post authority level, T04 It is the fourth preset post authority level, and T01<T02<T03<T04; According to the relationship between K and the preset position authority level matrix T0, select the corresponding number of push documents as the number of smart push documents; When K<T01, select the first preset push document quantity A1 as the quantity of smart push documents; When T01≤K<T02, select the second preset push document quantity A2 as the quantity of smart push document; When T02≤K<T03, select the third preset push document quantity A3 as the quantity of smart push document; When T03≦K<T04, the fourth preset quantity A4 of documents to be pushed is selected as the number of documents to be intelligently pushed. 7. A kind of electric power industry information exchange platform system based on high-frequency vocabulary algorithm according to claim 1, it is characterized in that, The intelligent push module is also used to obtain associated words whose semantic similarity with the search words is greater than a preset similarity threshold according to the input search words, and intelligently push documents containing associated words. 8. A kind of electric power industry information exchange platform system based on high-frequency vocabulary algorithm according to claim 1, it is characterized in that, The intelligent push module is also used to detect the historical search times of several search terms in real time when the search term is input, if there are multiple search terms, determine the search term with the most search times according to the historical search times of each search term, and The documents corresponding to the most searched terms are pushed first. 9. A kind of electric power industry information exchange platform system based on high-frequency vocabulary algorithm according to claim 2, it is characterized in that, The intelligent AI recommendation algorithm is used to use high-frequency words that appear more than or equal to 3 times in the document as keywords of the document. 10. A kind of electric power industry information exchange platform system based on high-frequency vocabulary algorithm according to claim 7, it is characterized in that, The default similarity threshold is 0.8.

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