CN115983239A - Electric power industry information exchange platform system based on high-frequency vocabulary algorithm - Google Patents
Electric power industry information exchange platform system based on high-frequency vocabulary algorithm Download PDFInfo
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
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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
Technical Field
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.
Background
At present, a large number of documents in the power industry need to be stored and transferred, including project documents, process documents, daily documents and other various categories, and at the same time, rights or common document knowledge needs to be distinguished for workers at different post levels.
However, in the prior art, at present, document information management platforms in the market are mainly of two types, one of the two types is based on document management as a core, and is designed based on storage of documents rather than communication among document information, although the storage and update of the documents can be satisfied, under the condition that multi-person cooperative work is involved, various errors often occur due to disorder of versions, and the other type is based on data cooperation. Therefore, how to provide an electric power industry information exchange platform system based on a high-frequency vocabulary algorithm is a technical problem which needs to be solved urgently by a person skilled in the art.
Disclosure of Invention
The invention aims to provide an electric power industry information exchange platform system based on a high-frequency vocabulary algorithm.
The invention improves the prior art, the document information management is mainly based on the document management, more documents are designed based on the storage of the documents, the communication among the document information is not related, and the situation of multi-user cooperative work cannot be met.
The invention improves the problems that in the prior art, in the process of document management, documents are searched and pushed according to keywords, the documents do not have strong coverage, all related documents related to the keywords cannot be covered, and the data is not comprehensive enough, so that the accuracy of work is influenced.
In order to achieve the purpose, the invention provides the following technical scheme:
a high-frequency vocabulary algorithm-based power industry information exchange platform system comprises:
the document creating module is used for creating a document containing the electric power industry information;
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.
In some embodiments of the application, an intelligent AI recommendation algorithm is used for detecting a document, extracting a plurality of high-frequency words in the document, determining keywords of the document according to the high-frequency words, and calculating a click browsing rate coefficient of the keywords;
the click browsing rate coefficient is calculated by the following formula:
in the formula, Q is a browsing rate coefficient, S is a keyword click browsing amount, and M is a total keyword browsing amount.
In some embodiments of the present application, the intelligent AI recommendation algorithm is further configured to calculate a search frequency coefficient of the keyword when the keyword is input as a search vocabulary;
the search frequency coefficient is calculated by the following formula:
in the formula, P is a search frequency coefficient, S is the number of times of keyword search, and M is the total number of times of keyword search;
the intelligent AI recommendation algorithm is also used for pushing the grades in corresponding pushing time according to the click browsing rate coefficient and the search frequency coefficient;
the push time is calculated by the following formula:
wherein, R is the pushing time, Q is the browsing rate coefficient, and P is the searching frequency coefficient.
In some embodiments of the present application, further comprising:
the document updating module is used for sending a notice to the document creating module after the document is updated and keeping the document before updating;
the document creating module is internally provided with a document editing unit and a document auditing unit, the document editing unit is used for editing the document, and the document auditing unit is used for auditing the edited document.
In some embodiments of the present application, the document uploading module is further configured to obtain post information of an uploading person uploading the document, and attach post tag information to the document according to the post information, where the post tag information includes the post information of the uploading person;
the intelligent pushing module is also used for intelligently pushing the documents with the same post label information according to the post label information attached to the documents when the documents containing the search vocabulary are intelligently pushed.
In some embodiments of the application, the intelligent pushing module is further configured to obtain post information, where the post information includes a post authority level N, and the intelligent pushing module is further configured to determine the number of the intelligently pushed documents according to the post authority level when the documents are intelligently pushed;
a preset post authority level matrix T0 and a preset pushed document quantity matrix A are preset in the intelligent pushing module, and for the preset pushed document quantity matrix A, A (A1, A2, A3, A4) is set, wherein A1 is a first preset pushed document quantity, A2 is a second preset pushed document quantity, A3 is a third preset pushed document quantity, A4 is a fourth preset pushed document quantity, and A1 is more than A2 and more than A3 and more than A4; for the preset post authority level matrix T0, setting T0 (T01, T02, T03, T04), wherein T01 is a first preset post authority level, T02 is a second preset post authority level, T03 is a third preset post authority level, T04 is a fourth preset post authority level, and T01 is greater than T02 and less than T03 and less than T04;
selecting the corresponding quantity of pushed documents as the quantity of intelligent pushed documents according to the relation between the K and the preset post authority level matrix T0;
when K is less than T01, selecting a first preset pushed document quantity A1 as the quantity of the intelligent pushed documents;
when the T01 is larger than or equal to K and smaller than T02, selecting a second preset pushed document quantity A2 as the quantity of the intelligent pushed documents;
when the T02 is more than or equal to K and less than T03, selecting a third preset pushed document quantity A3 as the quantity of the intelligent pushed documents;
and when the T03 is more than or equal to K and less than T04, selecting a fourth preset pushed document quantity A4 as the quantity of the intelligent pushed documents.
In some embodiments of the present application, the intelligent pushing module is further configured to obtain, according to the input search vocabulary, an associated vocabulary whose semantic similarity with the search vocabulary is greater than a preset similarity threshold, and perform intelligent pushing on a document including the associated vocabulary.
In some embodiments of the application, the intelligent pushing module is further configured to, when a search vocabulary is input and there are a plurality of search vocabularies, detect historical search times of the plurality of search vocabularies in real time, determine, according to the historical search times of each search vocabulary, a search vocabulary with the largest search time, and preferentially push a document corresponding to the search vocabulary with the largest search time.
In some embodiments of the present application, the intelligent AI recommendation algorithm is configured to use high-frequency words that appear in the document 3 or more times as keywords of the document.
In some embodiments of the present application, the preset similarity threshold is 0.8.
The invention provides an electric power industry information exchange platform system based on a high-frequency vocabulary algorithm, which has the following beneficial effects compared with the prior art:
(1) The platform system supports the functions of multi-user online collaborative editing, extended editing and the like, and has a message reminding function in the document change updating process;
(2) The document is pushed and shared to designated workers according to the post information in an intelligent file pushing and sharing mode, and the cooperativity among users and the high efficiency of enterprise operation are improved;
(3) Sensitive data information is prevented from being leaked in a document authority consulting mode;
(4) Based on AI intelligence recommendation technique, effectual different post staff are pushed the document that corresponds to the corresponding time and are looked over, have changed traditional mode of operation, have improved holistic work efficiency.
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 invention.
Detailed Description
The following detailed description of embodiments of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
In the description of the present application, it is to be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience in describing the present application and simplifying the description, but do not indicate or imply that the referred device or element must have a particular orientation, be constructed in a particular orientation, and be operated, and thus should not be construed as limiting the present application.
The terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present application, "a plurality" means two or more unless otherwise specified.
In the description of the present application, it should be noted that, unless otherwise explicitly stated or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, a fixed connection, a detachable connection, or an integral connection; can be mechanically or electrically connected; they may be directly connected or indirectly connected through an intermediate member, or they may be connected to each other through an intermediate member. The specific meaning of the above terms in the present application can be understood in a specific case by those of ordinary skill in the art.
In the prior art, at present, document information management platforms in the market are mainly of two types, one of the two types is based on document management as a core, and more documents are designed based on storage of the documents without involving communication between document information, although the document storage and update can be satisfied, under the condition of involving multi-person cooperative work, various errors are often caused due to disorder of versions, and the other type is based on data cooperation as a core.
Therefore, the invention provides the electric power industry information exchange platform system based on the high-frequency vocabulary algorithm, and through the intelligent AI recommendation algorithm, the corresponding documents of different post workers at corresponding time can be effectively pushed and checked, so that the corresponding work can be completed in an auxiliary manner, and the overall work efficiency is improved.
Referring to fig. 1, a disclosed embodiment of the present invention provides an electric power industry information exchange platform system based on a high-frequency vocabulary algorithm, including:
the document creating module is used for creating a document containing the electric power industry information;
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.
In a specific embodiment of the application, the intelligent AI recommendation algorithm is used for detecting a document, extracting a plurality of high-frequency words in the document, determining keywords of the document according to the high-frequency words, and calculating a click browsing rate coefficient of the keywords;
the click browsing rate coefficient is calculated by the following formula:
in the formula, Q is a browsing rate coefficient, S is a keyword click browsing amount, and M is a total keyword browsing amount.
In one embodiment of the present application, the intelligent AI recommendation algorithm is further configured to calculate a search frequency coefficient of the keyword when the keyword is input as a search vocabulary;
the search frequency coefficient is calculated by the following formula:
in the formula, P is a search frequency coefficient, S is the number of times of keyword search, and M is the total number of times of keyword search;
the intelligent AI recommendation algorithm is also used for pushing the grades in corresponding pushing time according to the click browsing rate coefficient and the search frequency coefficient;
the push time is calculated by the following formula:
wherein, R is the pushing time, Q is the browsing rate coefficient, and P is the searching frequency coefficient.
In a specific embodiment of the present application, the method further includes:
the document updating module is used for sending a notice to the document creating module after the document is updated and keeping the document before updating;
the document creating module is internally provided with a document editing unit and a document auditing unit, the document editing unit is used for editing the document, and the document auditing unit is used for auditing the edited document.
In a specific embodiment of the application, the document uploading module is further configured to acquire the post information of the uploading personnel uploading the document, and attach post label information to the document according to the post information, where the post label information includes the post information of the uploading personnel;
the intelligent pushing module is also used for intelligently pushing the documents with the same post label information according to the post label information attached to the documents when the documents containing the search vocabulary are intelligently pushed.
In a specific embodiment of the application, the intelligent pushing module is further configured to obtain post information, where the post information includes a post authority level N, and the intelligent pushing module is further configured to determine the number of the intelligently pushed documents according to the post authority level when the documents are intelligently pushed;
a preset post authority level matrix T0 and a preset pushed document quantity matrix A are preset in the intelligent pushing module, and for the preset pushed document quantity matrix A, A (A1, A2, A3, A4) is set, wherein A1 is a first preset pushed document quantity, A2 is a second preset pushed document quantity, A3 is a third preset pushed document quantity, A4 is a fourth preset pushed document quantity, and A1 is more than A2 and more than A3 and more than A4; setting T0 (T01, T02, T03, T04) for the preset post permission level matrix T0, wherein T01 is a first preset post permission level, T02 is a second preset post permission level, T03 is a third preset post permission level, T04 is a fourth preset post permission level, and T01 < T02 < T03 < T04;
selecting the corresponding quantity of the pushed documents as the quantity of the intelligent pushed documents according to the relation between the K and the preset post authority level matrix T0;
when K is less than T01, selecting a first preset pushed document quantity A1 as the quantity of the intelligent pushed documents;
when the T01 is larger than or equal to K and smaller than T02, selecting a second preset pushed document quantity A2 as the quantity of the intelligent pushed documents;
when the T02 is larger than or equal to K and smaller than T03, selecting a third preset pushed document quantity A3 as the quantity of the intelligent pushed documents;
and when the T03 is larger than or equal to K and smaller than T04, selecting a fourth preset pushed document quantity A4 as the quantity of the intelligent pushed documents.
In a specific embodiment of the present application, the intelligent pushing module is further configured to obtain, according to the input search vocabulary, an associated vocabulary whose semantic similarity with the search vocabulary is greater than a preset similarity threshold, and intelligently push a document including the associated vocabulary.
In a specific embodiment of the application, the intelligent pushing module is further configured to detect historical search times of a plurality of search vocabularies in real time when the search vocabularies are input and if the search vocabularies are multiple, determine the search vocabulary with the largest search times according to the historical search times of each search vocabulary, and preferentially push a document corresponding to the search vocabulary with the largest search times.
In one embodiment of the application, the intelligent AI recommendation algorithm is used to take high frequency words with the occurrence frequency of 3 or more times in the document as keywords of the document.
In one embodiment of the present application, the predetermined similarity threshold is 0.8.
In conclusion, the unified retrieval platform is established, the document is acquired through the document uploading module, the high-frequency words appearing in the document are detected in real time, the label information is attached to the document according to the high-frequency words, the intelligent pushing module intelligently pushes the document containing the search words according to the input search words, the document corresponding to the label information containing the search words is intelligently pushed through an intelligent AI recommendation algorithm and a big data search engine, the multi-person cooperative work is supported, the cooperative interactive processing modes such as task allocation, document cooperation and data pushing can be carried out in a cross-time and cross-space mode, the cooperation efficiency among workers is improved, and the overall work efficiency among enterprises is improved.
The above is only an embodiment of the present invention, but the scope of the present invention should not be limited thereby, and any structural changes made according to the present invention should be considered as being limited within the scope of the present invention without departing from the gist of the present invention.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process and related description of the system described above may refer to the corresponding process in the foregoing method embodiments, and will not be described herein again.
It should be noted that, the system provided in the foregoing embodiment is only illustrated by dividing the functional modules, and in practical applications, the functions may be distributed by different functional modules according to needs, that is, the modules or steps in the embodiment of the present invention are further decomposed or combined, for example, the modules in the foregoing embodiment may be combined into one module, or may be further split into multiple sub-modules, so as 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 for distinguishing the modules or steps, and are not to be construed as unduly limiting the present invention.
Those of skill in the art will appreciate that the various illustrative modules, method steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that programs corresponding to the software modules, method steps may be located in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. To clearly illustrate this interchangeability of electronic hardware and software, various illustrative components and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as electronic hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is apparent to those skilled in the art that the scope of the present invention is not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.
Claims (10)
1. The utility model provides an electric power industry information exchange platform system based on high frequency vocabulary algorithm which characterized in that includes:
the document creating module is used for creating a document containing the electric power industry information;
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.
2. The electric power industry information communication platform system based on the high-frequency vocabulary algorithm as claimed in claim 1,
the intelligent AI recommendation algorithm is used for detecting the document, extracting a plurality of high-frequency words in the document, determining keywords of the document according to the high-frequency words, and calculating click browsing rate coefficients of the keywords;
the click browsing rate coefficient is calculated by the following formula:
in the formula, Q is a browsing rate coefficient, S is a keyword click browsing amount, and M is a keyword total browsing amount.
3. The electric power industry information communication platform system based on the high-frequency vocabulary algorithm according to claim 2,
the intelligent AI recommendation algorithm is also used for calculating a search frequency coefficient of the keyword when the keyword is input as a search vocabulary;
the search frequency coefficient is calculated by the following formula:
in the formula, P is a search frequency coefficient, S is the number of times of keyword search, and M is the total number of times of keyword search;
the intelligent AI recommendation algorithm is also used for pushing the grades in corresponding pushing time according to the click browsing rate coefficient and the search frequency coefficient;
the push time is calculated by the following formula:
wherein, R is the pushing time, Q is the browsing rate coefficient, and P is the searching frequency coefficient.
4. The electric power industry information exchange platform system based on the high-frequency vocabulary algorithm according to claim 1, characterized by further comprising:
the document updating module is used for sending a notice to the document creating module after the document is updated and keeping the document before updating;
the document creating module is internally provided with a document editing unit and a document auditing unit, the document editing unit is used for editing the document, and the document auditing unit is used for auditing the edited document.
5. The electric power industry information communication platform system based on the high-frequency vocabulary algorithm according to claim 1,
the document uploading module is also used for acquiring the post information of uploading personnel uploading the document and attaching post label information to the document according to the post information, wherein the post label information comprises the post information of the uploading personnel;
the intelligent pushing module is also used for intelligently pushing the documents with the same post label information according to the post label information attached to the documents when the documents containing the search vocabulary are intelligently pushed.
6. The electric power industry information communication platform system based on the high-frequency vocabulary algorithm as claimed in claim 5,
the intelligent pushing module is further used for acquiring post information, the post information comprises a post authority level N, and the intelligent pushing module is further used for determining the number of the intelligent pushed documents according to the post authority level when the documents are pushed intelligently;
a preset post authority level matrix T0 and a preset pushed document quantity matrix A are preset in the intelligent pushing module, and for the preset pushed document quantity matrix A, A (A1, A2, A3, A4) is set, wherein A1 is a first preset pushed document quantity, A2 is a second preset pushed document quantity, A3 is a third preset pushed document quantity, A4 is a fourth preset pushed document quantity, and A1 is more than A2 and more than A3 and more than A4; setting T0 (T01, T02, T03, T04) for the preset post permission level matrix T0, wherein T01 is a first preset post permission level, T02 is a second preset post permission level, T03 is a third preset post permission level, T04 is a fourth preset post permission level, and T01 is more than T02 and less than T03 and less than T04;
selecting the corresponding quantity of pushed documents as the quantity of intelligent pushed documents according to the relation between the K and the preset post authority level matrix T0;
when K is less than T01, selecting a first preset pushed document quantity A1 as the quantity of the intelligent pushed documents;
when the T01 is larger than or equal to the K and smaller than the T02, selecting a second preset pushed document quantity A2 as the quantity of the intelligent pushed documents;
when the T02 is larger than or equal to K and smaller than T03, selecting a third preset pushed document quantity A3 as the quantity of the intelligent pushed documents;
and when the T03 is larger than or equal to K and smaller than T04, selecting a fourth preset pushed document quantity A4 as the quantity of the intelligent pushed documents.
7. The electric power industry information communication platform system based on the high-frequency vocabulary algorithm according to claim 1,
the intelligent pushing module is further used for acquiring related vocabularies with semantic similarity larger than a preset similarity threshold value with the search vocabularies according to the input search vocabularies, and intelligently pushing the documents containing the related vocabularies.
8. The electric power industry information communication platform system based on the high-frequency vocabulary algorithm according to claim 1,
the intelligent pushing module is also used for detecting the historical search times of a plurality of search words in real time when the search words are input and if the search words are a plurality of, determining the search words with the most search times according to the historical search times of the search words, and preferentially pushing the documents corresponding to the search words with the most search times.
9. The electric power industry information communication platform system based on the high-frequency vocabulary algorithm according to claim 2,
the intelligent AI recommendation algorithm is used for taking high-frequency vocabularies with the occurrence times of more than or equal to 3 times in the documents as keywords of the documents.
10. The electric power industry information communication platform system based on the high-frequency vocabulary algorithm as claimed in claim 7,
the preset similarity threshold is 0.8.
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