CN113836280A - Power grid operation detection voice question-answer method and system based on knowledge graph technology - Google Patents
Power grid operation detection voice question-answer method and system based on knowledge graph technology Download PDFInfo
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Abstract
The invention relates to a power grid operation detection voice identification question-answering method and a system based on a knowledge graph technology, wherein the method comprises the following steps: constructing a power grid operation detection recognition spectrum library; collecting voice information of a problem, and identifying text information converted into the problem; identifying keywords in the text information of the question; searching in a power grid operation detection recognition map library according to the key words to obtain a map result; generating a reply sentence according to the map result; and converting the reply sentence into reply voice and broadcasting. Compared with the prior art, the invention reduces the personnel training cost and the management cost, and improves the working efficiency and the service level.
Description
Technical Field
The invention relates to the field of power grid operation detection identification management, in particular to a power grid operation detection identification voice question-answering method and system based on a knowledge graph technology.
Background
For a long time, the power grid operation and maintenance related knowledge has the characteristics of wide knowledge range, fine professional knowledge classification, high professional barriers and the like, and the acquisition of the power grid operation and maintenance work knowledge by the power operation and maintenance personnel also depends on experience accumulation and inheritance. And because of the particularity of the electric power operation and maintenance work, the operation and maintenance personnel are required to have more comprehensive professional knowledge, work specifications and higher professional skills, so the professional training time for the operation and maintenance personnel is long and the cost is high. However, deviation and errors always occur in brain memory, work such as electric power operation and maintenance and the like has extremely high requirements on timeliness and safety, electric power operation and maintenance personnel need to inquire and confirm professional knowledge, technical specifications and the like frequently in the field operation process, and urgent needs exist on rapidity, accuracy and convenience of acquisition of electric power operation and maintenance professional knowledge.
In the aspect of information retrieval: the query function of the traditional information system is based on the traditional development mode, various query conditions need to be preset, the information query flexibility is low, the information association retrieval capability is weak, and the complex query speed is low. The power grid operation and maintenance personnel are difficult to rapidly and accurately obtain the query result, and the operation efficiency is influenced.
Task-based and FAQ retrieval-based intelligent knowledge acquisition modes require data organization of different degrees to assist in computing, understanding and answering user questions. The FAQ retrieval type needs to arrange question and answer pairs, and the task type needs to customize character scenes and dislocation. From the algorithm perspective, the higher the quality and the structuring degree of knowledge, the better the effect of the question-answering system. But the higher the organizational requirements on the knowledge, the more labor costs are required.
In terms of information output: in the traditional electric power informatization application, information is mainly output in the form of characters, diagrams and the like and is displayed through a computer or mobile phone interface, operation and maintenance personnel are required to perform manual operation, the operation process of field operation personnel is increased to a certain extent by means of tools such as computers, mobile phones and the like, and the requirement of large-scale and fine operation is difficult to deal with.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provide a power grid operation detection voice recognition question-answering method and system based on the knowledge graph technology, so that the personnel training cost and the management cost are reduced, and the working efficiency and the service level are improved.
The purpose of the invention can be realized by the following technical scheme:
a power grid operation detection voice identification question-answering method based on a knowledge graph technology comprises the following steps:
constructing a power grid operation detection recognition spectrum library;
collecting voice information of a problem, and identifying text information converted into the problem;
identifying keywords in the text information of the question;
searching in a power grid operation detection recognition map library according to the key words to obtain a map result;
generating a reply sentence according to the map result;
converting the reply sentence into reply voice, and broadcasting;
the power grid operation detection knowledge map library is constructed by adopting knowledge map technology, so that integration, intelligent retrieval, relevance analysis and visual display of operation detection service data resources are realized, professional knowledge learning can be rapidly and conveniently carried out by first-line workers and equipment managers through knowledge map question and answer, and personnel training cost and management cost are effectively reduced;
and the traditional knowledge acquisition mode is changed by combining the voice recognition technology and the natural language processing technology, and the knowledge acquisition is presented in a voice question-answering mode. The operation and maintenance personnel are supported to acquire related information at any time and any place, the two hands of the operation personnel are liberated, and the working efficiency and the service level are improved.
Further, the construction process of the power grid operation detection and identification map library comprises the following steps:
acquiring a power grid operation detection identification text;
extracting key information in the power grid operation detection identification text, wherein the key information comprises an entity, an entity attribute, an entity relationship and a keyword;
and modeling according to the key information to obtain a power grid operation detection recognition spectrum library.
Further, the modeling process includes a manual modeling step, and the specific process of the manual modeling step includes:
and modeling through a knowledge calculation algorithm according to the key information.
Further, the knowledge calculation algorithm comprises a fusion algorithm or a disambiguation algorithm.
Further, the modeling process includes an automatic modeling step, and the specific process of the automatic modeling step includes:
and modeling through a natural language processing model according to the key information.
The power grid operation detection and knowledge map library is constructed by combining the manual modeling step and the automatic modeling step, so that the modeling efficiency of the power grid operation detection and knowledge map library is improved, the power grid operation detection and knowledge map library can be continuously improved through the manual modeling step, the power grid operation detection and knowledge map library is closer to the actual power operation maintenance work, and the accuracy of the automatic modeling step is also improved.
A power grid operation detection recognition voice question-answering system based on knowledge graph technology comprises a graph construction module, a voice acquisition module, a semantic recognition module, a graph retrieval module, a sentence generation module and a voice conversion module;
the map construction module constructs a power grid operation detection recognition map library;
the voice acquisition module acquires voice information of a problem and identifies text information converted into the problem;
the semantic recognition module recognizes key words in the text information of the problem;
the map retrieval module retrieves in the power grid operation detection recognition map library according to the key words to obtain a map result;
the sentence generating module generates a reply sentence according to the map result;
the voice conversion module converts the reply sentence into voice and broadcasts the voice;
the power grid operation detection knowledge map library is constructed by adopting knowledge map technology, so that integration, intelligent retrieval, relevance analysis and visual display of operation detection service data resources are realized, professional knowledge learning can be rapidly and conveniently carried out by first-line workers and equipment managers through knowledge map question and answer, and personnel training cost and management cost are effectively reduced;
and the traditional knowledge acquisition mode is changed by combining the voice recognition technology and the natural language processing technology, and the knowledge acquisition is presented in a voice question-answering mode. The operation and maintenance personnel are supported to acquire related information at any time and any place, the two hands of the operation personnel are liberated, and the working efficiency and the service level are improved.
Furthermore, the map building module comprises an acquisition unit, an extraction unit and a modeling unit, wherein the acquisition unit acquires the power grid operation detection identification text, the extraction unit extracts key information in the power grid operation detection identification text, the key information comprises entities, entity attributes, entity relationships and keywords, and the modeling unit performs modeling according to the key information to obtain the power grid operation detection identification map library.
Further, the modeling process includes a manual modeling step, and the specific process of the manual modeling step includes:
and the modeling unit performs modeling through a knowledge calculation algorithm according to the key information.
Further, the knowledge calculation algorithm comprises a fusion algorithm or a disambiguation algorithm.
Further, the modeling process includes an automatic modeling step, and the specific process of the automatic modeling step includes:
the modeling unit carries out modeling through a natural language processing model according to the key information;
the power grid operation detection and knowledge map library is constructed by combining the manual modeling step and the automatic modeling step, so that the modeling efficiency of the power grid operation detection and knowledge map library is improved, the power grid operation detection and knowledge map library can be continuously improved through the manual modeling step, the power grid operation detection and knowledge map library is closer to the actual power operation maintenance work, and the accuracy of the automatic modeling step is also improved.
Compared with the prior art, the invention has the following beneficial effects:
(1) the invention constructs a power grid operation detection recognition map library, collects the voice information of the problem, recognizes the text information converted into the problem, recognizes key words in the text information of the problem, searching in the power grid operation detection recognition map library according to the key words to obtain a map result, generating a reply sentence according to the map result, converting the reply sentence into reply voice, and broadcasting, constructing a power grid operation detection knowledge map library by using a knowledge map technology, realizing integration, intelligent retrieval, relevance analysis and visual display of operation detection service data resources, enabling first-line workers and equipment managers to quickly and conveniently learn professional knowledge through knowledge map question answering, effectively reducing personnel training cost and management cost, combining voice recognition and natural language processing technologies, changing the traditional knowledge acquisition mode, and presenting knowledge acquisition in a voice question answering mode. The operation and maintenance personnel are supported to acquire related information at any time and any place, the two hands of the operation personnel are liberated, and the working efficiency and the service level are improved;
(2) the power grid operation detection and knowledge map library is constructed by combining the manual modeling step and the automatic modeling step, so that the modeling efficiency of the power grid operation detection and knowledge map library is improved, the power grid operation detection and knowledge map library can be continuously improved through the manual modeling step, the power grid operation detection and knowledge map library is closer to the actual power operation maintenance work, and the accuracy of the automatic modeling step is also improved.
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FIG. 1 is a schematic flow chart of the method of the present invention.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. The present embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation manner and a specific operation process are given, but the scope of the present invention is not limited to the following embodiments.
Example 1
A power grid operation detection voice identification question-answering method based on a knowledge graph technology is disclosed, as shown in figure 1, and comprises the following steps:
1) constructing a power grid operation detection recognition spectrum library;
2) collecting voice information of a problem, and identifying text information converted into the problem;
3) identifying keywords in the text information of the question;
4) searching in a power grid operation detection recognition map library according to the key words to obtain a map result;
5) generating a reply sentence according to the map result;
6) and converting the reply sentence into reply voice and broadcasting.
The keywords in the text message include entity nouns and attributes and relationships of the entity nouns.
The power grid operation detection knowledge map library is constructed by adopting knowledge map technology, so that integration, intelligent retrieval, relevance analysis and visual display of operation detection service data resources are realized, professional knowledge learning can be rapidly and conveniently carried out by first-line workers and equipment managers through knowledge map question and answer, and personnel training cost and management cost are effectively reduced;
and the traditional knowledge acquisition mode is changed by combining the voice recognition technology and the natural language processing technology, and the knowledge acquisition is presented in a voice question-answering mode. The operation and maintenance personnel are supported to acquire related information at any time and any place, the two hands of the operation personnel are liberated, and the working efficiency and the service level are improved.
The construction process of the power grid operation detection and knowledge map library comprises the following steps:
acquiring a power grid operation detection identification text;
extracting key information in the power grid operation detection identification text, wherein the key information comprises an entity, an entity attribute, an entity relationship and a keyword;
and modeling according to the key information to obtain a power grid operation detection recognition spectrum library.
The power grid operation detection identification text comprises structured data and semi-structured data such as professional noun introduction, safety regulations, technical specifications, standards and the like.
The modeling process comprises a manual modeling step, and the specific process of the manual modeling step comprises the following steps:
and modeling through a knowledge calculation algorithm according to the key information.
The knowledge calculation algorithm includes a fusion algorithm or a disambiguation algorithm.
The modeling process comprises an automatic modeling step, and the specific process of the automatic modeling step comprises the following steps:
and modeling through a natural language processing model according to the key information.
The natural language processing model comprises an analysis grammar, a natural language word stock and a natural language rule stock.
The power grid operation detection and knowledge map library is constructed by combining the manual modeling step and the automatic modeling step, so that the modeling efficiency of the power grid operation detection and knowledge map library is improved, the power grid operation detection and knowledge map library can be continuously improved through the manual modeling step, the power grid operation detection and knowledge map library is closer to the actual power operation maintenance work, and the accuracy of the automatic modeling step is also improved.
Example 2
A power grid operation detection recognition voice question-answering system based on knowledge graph technology comprises a graph construction module, a voice acquisition module, a semantic recognition module, a graph retrieval module, a sentence generation module and a voice conversion module;
the map construction module constructs a power grid operation detection recognition map library;
the voice acquisition module acquires voice information of the problem and identifies text information converted into the problem;
the semantic recognition module recognizes key words in the text information of the problem;
the map retrieval module retrieves the power grid operation detection recognition map library according to the key words to obtain a map result;
the sentence generation module generates a reply sentence according to the map result;
and the voice conversion module converts the reply sentence into voice and broadcasts the voice.
The keywords in the text message include entity nouns and attributes and relationships of the entity nouns.
The power grid operation detection knowledge map library is constructed by adopting knowledge map technology, so that integration, intelligent retrieval, relevance analysis and visual display of operation detection service data resources are realized, professional knowledge learning can be rapidly and conveniently carried out by first-line workers and equipment managers through knowledge map question and answer, and personnel training cost and management cost are effectively reduced;
and the traditional knowledge acquisition mode is changed by combining the voice recognition technology and the natural language processing technology, and the knowledge acquisition is presented in a voice question-answering mode. The operation and maintenance personnel are supported to acquire related information at any time and any place, the two hands of the operation personnel are liberated, and the working efficiency and the service level are improved.
The map building module comprises an acquisition unit, an extraction unit and a modeling unit, wherein the acquisition unit acquires a power grid operation detection identification text, the extraction unit extracts key information in the power grid operation detection identification text, the key information comprises entities, entity attributes, entity relations and keywords, and the modeling unit performs modeling according to the key information to obtain a power grid operation detection identification map library.
The power grid operation detection identification text comprises structured data and semi-structured data such as professional noun introduction, safety regulations, technical specifications, standards and the like.
The modeling process comprises a manual modeling step, and the specific process of the manual modeling step comprises the following steps:
and the modeling unit performs modeling through a knowledge calculation algorithm according to the key information.
The knowledge calculation algorithm includes a fusion algorithm or a disambiguation algorithm.
The modeling process comprises an automatic modeling step, and the specific process of the automatic modeling step comprises the following steps:
the modeling unit carries out modeling through a natural language processing model according to the key information;
the natural language processing model comprises an analysis grammar, a natural language word stock and a natural language rule stock.
The power grid operation detection and knowledge map library is constructed by combining the manual modeling step and the automatic modeling step, so that the modeling efficiency of the power grid operation detection and knowledge map library is improved, the power grid operation detection and knowledge map library can be continuously improved through the manual modeling step, the power grid operation detection and knowledge map library is closer to the actual power operation maintenance work, and the accuracy of the automatic modeling step is also improved.
The embodiment 1 and the embodiment 2 provide a power grid operation detection and identification voice question-answering method and system based on a knowledge graph technology, a power grid operation detection and identification graph library is constructed by the knowledge graph technology, integration, intelligent retrieval, relevance analysis and visual display of operation and inspection service data resources are achieved, professional knowledge learning can be rapidly and conveniently carried out by first-line workers and equipment managers through the knowledge graph question-answering, personnel training cost and management cost are effectively reduced, a traditional knowledge acquisition mode is changed by combining the voice recognition technology and the natural language processing technology, and knowledge acquisition is presented in a voice question-answering mode. The operation and maintenance personnel are supported to acquire related information at any time and any place, the two hands of the operation personnel are liberated, and the working efficiency and the service level are improved.
The foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, the technical solutions available to those skilled in the art through logic analysis, reasoning and limited experiments based on the prior art according to the concept of the present invention should be within the scope of protection defined by the claims.
Claims (10)
1. A power grid operation detection voice identification question-answering method based on a knowledge graph technology is characterized by comprising the following steps:
constructing a power grid operation detection recognition spectrum library;
collecting voice information of a problem, and identifying text information converted into the problem;
identifying keywords in the text information of the question;
searching in a power grid operation detection recognition map library according to the key words to obtain a map result;
generating a reply sentence according to the map result;
and converting the reply sentence into reply voice and broadcasting.
2. The knowledge-graph-technology-based power grid operation detection speech question-answering method according to claim 1, wherein the power grid operation detection recognition graph library construction process comprises:
acquiring a power grid operation detection identification text;
extracting key information in the power grid operation detection identification text, wherein the key information comprises an entity, an entity attribute, an entity relationship and a keyword;
and modeling according to the key information to obtain a power grid operation detection recognition spectrum library.
3. The knowledge-graph-technology-based power grid operation detection speech question-answering method according to claim 2, wherein the modeling process comprises a manual modeling step, and the specific process of the manual modeling step comprises:
and modeling through a knowledge calculation algorithm according to the key information.
4. The knowledge-graph-technology-based power grid operation detection speech question-answering method according to claim 3, wherein the knowledge calculation algorithm comprises a fusion algorithm or a disambiguation algorithm.
5. The knowledge-graph-technology-based power grid operation detection speech question-answering method according to claim 2, wherein the modeling process comprises an automatic modeling step, and the specific process of the automatic modeling step comprises:
and modeling through a natural language processing model according to the key information.
6. A power grid operation detection voice identification question-answering system based on a knowledge graph technology is characterized by comprising:
the map construction module is used for constructing a power grid operation detection recognition map library;
the voice acquisition module is used for acquiring voice information of the problem and identifying text information converted into the problem;
the semantic recognition module is used for recognizing keywords in the text information of the problem;
the map retrieval module is used for retrieving in the power grid operation detection recognition map library according to the key words to obtain a map result;
the sentence generating module is used for generating a reply sentence according to the map result;
and the voice conversion module is used for converting the reply sentence into voice and broadcasting the voice.
7. The knowledge-graph-technology-based power grid operation inspection recognition voice question-answering system as claimed in claim 6, wherein the graph construction module comprises an acquisition unit, an extraction unit and a modeling unit, the acquisition unit acquires a power grid operation inspection recognition text, the extraction unit extracts key information in the power grid operation inspection recognition text, the key information comprises entities, entity attributes, entity relationships and keywords, and the modeling unit performs modeling according to the key information to obtain a power grid operation inspection recognition graph library.
8. The system according to claim 7, wherein the modeling process comprises a manual modeling step, and the manual modeling step comprises the following specific steps:
and the modeling unit performs modeling through a knowledge calculation algorithm according to the key information.
9. The system according to claim 8, wherein the knowledge calculation algorithm comprises a fusion algorithm or a disambiguation algorithm.
10. The knowledge-graph-technology-based power grid operation detection speech question-answering system according to claim 7, wherein the modeling process comprises an automatic modeling step, and the specific process of the automatic modeling step comprises:
and the modeling unit carries out modeling through a natural language processing model according to the key information.
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