CN112507129B - Content change processing method of power distribution network operation file and related equipment - Google Patents
Content change processing method of power distribution network operation file and related equipment Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/36—Creation of semantic tools, e.g. ontology or thesauri
- G06F16/367—Ontology
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
- G06F16/334—Query execution
- G06F16/3344—Query execution using natural language analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/30—Semantic analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
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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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- 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
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The embodiment of the application discloses a content change processing method of a power distribution network operation file, which comprises the steps of obtaining initial filling content input by a user in the power distribution network operation file; carrying out semantic analysis on the initial filling content, and extracting keywords of the power distribution network; carrying out change monitoring on the keywords of the power distribution network to obtain change contents of the keywords of the power distribution network; searching a target sub-map associated with the change content from a preset power distribution network knowledge map; the distribution network keywords are modified based on the target sub-map to obtain target filling content, and the change content is modified through the target sub-map, so that the content change processing efficiency of the distribution network operation file is improved, and the accuracy and compliance of the distribution network operation file are ensured. In addition, a content change processing device, computer equipment and storage medium of the power distribution network operation file are also provided.
Description
Technical Field
The application relates to the technical field of computers, in particular to a content change processing method of a power distribution network operation file and related equipment.
Background
In the distribution network production operation management and control process, in order to ensure that distribution network operation staff safely carries out distribution operation, when carrying out production operations such as rush repair, maintenance and the like, each power supply bureau needs to write operation files, so that the distribution operation staff can conveniently carry out standard operation according to operation file guidance, and the safety of the distribution operation staff and the compliance of the distribution operation are ensured.
However, when the power distribution operation or operation link is changed, the content associated with the power distribution operation or operation link is not changed correspondingly, which inevitably leads to non-compliance of the operation file and affects the safety and compliance of the power distribution operation of power distribution operators.
Disclosure of Invention
Based on the above, it is necessary to provide a method, a device, a computer device and a storage medium for processing content variation of a power distribution network operation file, so as to improve the processing efficiency of content variation of the power distribution network operation file and ensure the accuracy and compliance of the power distribution network operation file.
A content change processing method for a power distribution network operation file, the method comprising:
acquiring initial filling content input by a user in the power distribution network operation file;
carrying out semantic analysis on the initial filling content, and extracting power distribution network keywords, wherein the power distribution network keywords comprise power distribution operation and corresponding operation conditions;
performing change monitoring on the power distribution network keywords to obtain change contents of the power distribution network keywords;
searching a target sub-map associated with the change content from the preset power distribution network knowledge map;
and modifying the distribution network keywords based on the target sub-map to obtain target filling content.
A content change processing apparatus for a power distribution network job file, the apparatus comprising:
the acquisition module is used for acquiring initial filling content input by a user in the power distribution network operation file;
the analysis module is used for carrying out semantic analysis on the initial filling content and extracting power distribution network keywords, wherein the power distribution network keywords comprise power distribution operation and corresponding operation conditions;
the monitoring module is used for carrying out change monitoring on the power distribution network keywords and obtaining change contents of the power distribution network keywords;
the searching module is used for searching a target sub-map associated with the change content from the preset power distribution network knowledge map;
and the processing module is used for modifying the distribution network keywords based on the target sub-map to obtain target filling content.
A computer device comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of:
acquiring initial filling content input by a user in the power distribution network operation file;
carrying out semantic analysis on the initial filling content, and extracting power distribution network keywords, wherein the power distribution network keywords comprise power distribution operation and corresponding operation conditions;
performing change monitoring on the power distribution network keywords to obtain change contents of the power distribution network keywords;
searching a target sub-map associated with the change content from the preset power distribution network knowledge map;
and modifying the distribution network keywords based on the target sub-map to obtain target filling content.
A computer readable medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of:
acquiring initial filling content input by a user in the power distribution network operation file;
carrying out semantic analysis on the initial filling content, and extracting power distribution network keywords, wherein the power distribution network keywords comprise power distribution operation and corresponding operation conditions;
performing change monitoring on the power distribution network keywords to obtain change contents of the power distribution network keywords;
searching a target sub-map associated with the change content from the preset power distribution network knowledge map;
and modifying the distribution network keywords based on the target sub-map to obtain target filling content.
The content change processing method, the device, the computer equipment and the storage medium of the power distribution network operation file acquire initial filling content input by a user in the power distribution network operation file; carrying out semantic analysis on the initial filling content, and extracting power distribution network keywords, wherein the power distribution network keywords comprise power distribution operation and corresponding operation conditions; performing change monitoring on the power distribution network keywords to obtain change contents of the power distribution network keywords; searching a target sub-map associated with the change content from the preset power distribution network knowledge map; and modifying the distribution network keywords based on the target sub-map to obtain target filling content. By modifying the change content, the content change processing efficiency of the power distribution network operation file is improved, and the accuracy and compliance of the power distribution network operation file are ensured.
Drawings
In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Wherein:
FIG. 1 is a flow chart of a method for processing content changes in a power distribution network job file in one embodiment;
fig. 2 is a schematic diagram of a knowledge graph of a power distribution network for inspection operations in one embodiment;
FIG. 3 is a flow chart of a method of keyword extraction for a power distribution network in one embodiment;
FIG. 4 is a flow chart of a method of determining a target sub-map in one embodiment;
FIG. 5 is a block diagram of a device for processing content changes in a power distribution network job file according to one embodiment;
FIG. 6 is a block diagram of a computer device in one embodiment.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
As shown in fig. 1, in one embodiment, a method for processing content variation of a power distribution network operation file is provided, where the method for processing content variation of the power distribution network operation file may be applied to a terminal or a server, and this embodiment is exemplified by the application to the server. The content change processing method of the power distribution network operation file specifically comprises the following steps:
step 102, obtaining initial filling content input by a user in a power distribution network operation file.
The initial filling content refers to character content which is input to a server by a user through terminal equipment and can reflect the work information of the distribution network plan, and the character content can be a complete sentence, such as 'arranging 2 persons to be responsible for safety guidance and acceptance work', or can be a key word containing the work information of the distribution network, such as 'inspecting the power grid at the position A'. Specifically, the server obtains the initial filling content from the memory according to the received data processing instruction.
And 104, carrying out semantic analysis on the initial filling content, and extracting power distribution network keywords, wherein the power distribution network keywords comprise power distribution operation and corresponding operation conditions.
Specifically, the initial filling content may be subjected to semantic analysis (NatureLanguageProcessing, NLP), and the distribution network keywords are extracted, where the distribution network keywords refer to words related to the operation of the distribution network, such as "inspection," "overhaul," and the like. Semantic analysis, which may involve steps of word segmentation, language model (N-Gram language model, neural network language model, etc.), weight calculation, core word extraction, etc., is not described here. For example, the initial filling content may be divided into a plurality of parts according to any one of punctuation marks, numbers or verb parts of speech, and semantic analysis is performed on each part to obtain a plurality of distribution network keywords contained in the filling content. In one example, the initial fill is "arrange 2 persons to be responsible for security guidance and acceptance work", and after semantic analysis, the following distribution network keywords "2 persons", "security guidance" and "acceptance" are available. The power distribution operation is such as 'inspection', 'overhaul' or 'safety guidance', and the operation conditions are such as '2 persons', '4 working days'. And the distribution operation and the operation condition are in one-to-one correspondence, namely one distribution operation is associated with one operation condition. It can be appreciated that by extracting the distribution network keywords, simplified processing of the initially filled content is achieved, and interference of invalid content is avoided, so that further processing is performed based on the distribution network keywords later.
And 106, carrying out change monitoring on the keywords of the power distribution network to obtain the change content of the keywords of the power distribution network.
In general, when an operator composes a job plan file, the initial filling content is changed, for example, "arrange 3 persons to check the power grid at a place a on 1 working day" is changed to "arrange 6 persons to check the power grid at a place a on 1 working day", and at this time, the changing content is "3 persons" because the 3 persons change to 6 persons. Optionally, content monitoring is performed on the distribution network keywords at preset time intervals, wherein the preset time can be 1 minute, 2 minutes, 3 minutes or the like. For example, when the content of the distribution network keyword of the HTML element is changed, the onchange must also make the current element lose focus (onblu) to activate the event when the attribute value is changed, and the onpropertychange event can be triggered when the js script changes the element value, so that the changing content of the distribution network keyword is captured in real time through the onpropertychange.
And step 108, searching a target sub-map associated with the change content from a preset power distribution network knowledge map.
The preset power distribution network knowledge graph refers to a preset power domain knowledge graph, namely a power knowledge expert database, which is composed of related entity association relations of power distribution network knowledge and is used as an entity or standard database for linking related texts of the power distribution network. The target sub-map refers to a sub-map which is associated and matched with the change content. For example, the target sub-spectrum may be a sub-spectrum of an association structure of a power distribution operation such as "patrol" and an operation condition such as "arrange 2 persons". Specifically, a point priority or relation priority method is adopted, corresponding relation is extracted according to the change content, and an entity is extracted from a preset power distribution network knowledge graph to form a target sub-graph. It can be appreciated that, because the preset power distribution network knowledge graph includes more accurate and comprehensive power distribution operation specifications compared with the traditional database or data mapping table, the comprehensiveness and accuracy of the target sub-graph are ensured by searching the target sub-graph in the preset power distribution network knowledge graph.
It is worth to say that the word2vec method can be adopted to automatically mine the association relation of word senses from the actual power distribution network text, so that the problem of partial entity expression difference in the entity linking process is solved, and the accuracy of the entity-level target sub-map is further improved.
And 110, modifying the key words of the power distribution network based on the target sub-map to obtain target filling content.
Specifically, the distribution network keywords are modified according to the association relationship, such as the logic relationship, of the entities in the target sub-map, so that the accuracy and compliance of the change content are ensured. Continuing to change from 3 persons to 6 persons with the change content in step 106, the corresponding working time is changed from "1 working day" to "0.5 working days". The target filling content is that 6 persons are arranged to carry out power grid inspection on the A place in 0.5 working days, namely the high-efficiency processing of the variable content is realized, and the accuracy and compliance of the target filling content are ensured. Understandably, the change content is modified through the target sub-map, so that the content change processing efficiency of the power distribution network operation file is improved, and the accuracy and compliance of the power distribution network operation file are ensured.
According to the content change processing method of the power distribution network operation file, initial filling content input by a user in the power distribution network operation file is obtained; carrying out semantic analysis on the initial filling content, and extracting keywords of the power distribution network; carrying out change monitoring on the keywords of the power distribution network to obtain change contents of the keywords of the power distribution network; searching a target sub-map associated with the change content from a preset power distribution network knowledge map; the distribution network keywords are modified based on the target sub-map to obtain target filling content, and the change content is modified through the target sub-map, so that the content change processing efficiency of the distribution network operation file is improved, and the accuracy and compliance of the distribution network operation file are ensured.
In one embodiment, the monitoring of the change of the keyword of the power distribution network to obtain the change content of the keyword of the power distribution network includes: setting a flyback period, detecting power distribution network keywords in different flyback periods, and determining the changed power distribution keywords; the changed distribution keywords are determined as change content.
In this embodiment, the retrace period may be 1 minute, 2 minutes, 3 minutes, or the like, and specifically may be set according to the time at which the operator inputs the initial filling-in contents. And then monitoring the distribution network keywords at intervals of a flyback period, for example, monitoring the distribution network keywords by adopting an es6 Proxy object or an HTML element in JavaScript, and then detecting the change content, thereby realizing the search of the change content.
In one embodiment, before acquiring the initial filling content input by the user in the power distribution network operation file, the method further comprises: constructing a preset power distribution network knowledge graph, which comprises the following steps: and constructing a power distribution network knowledge graph which takes power distribution network operation and operation conditions as power distribution network keywords according to enterprise power distribution network operation standards.
In this embodiment, a knowledge graph including entities such as a power distribution network operation type, an operation condition, an operation sequence, and the like is formed as a power distribution network knowledge graph according to an enterprise power distribution network operation standard, such as a Standard Operation Program (SOP) file, an operation manual, and/or an operation safety specification file. Fig. 2 is a schematic diagram of a power distribution network knowledge graph of a patrol operation, which includes entities of equipment types and names, entities of patrol workload, and the like. It can be understood that, because the preset power distribution network knowledge graph is formed by analyzing the power distribution operation specification, the accuracy and the comprehensiveness of the power distribution network knowledge graph entity are ensured, and compared with the traditional database or the comparison table, the power distribution network knowledge graph comprises more comprehensive and accurate entities, and the accuracy of subsequent searching is ensured.
As shown in fig. 3, in one embodiment, performing semantic analysis on the filling content, extracting keywords of the distribution network includes:
step 104A, splitting the initial filling content into a plurality of characteristic entries;
step 104B, evaluating each characteristic entry by using an evaluation function to obtain the weight of each characteristic entry;
and 104C, taking the characteristic entries with the weight meeting the preset weight range as the key words of the power distribution network.
In this embodiment, the server performs semantic analysis on the initial filling. Optionally, word frequency statistical analysis or semantic analysis is performed on the initial filling content by using natural language processing, or semantic analysis is performed on the filling content by using a feature extraction method. Specifically, the initial filling content is split, namely, word segmentation is performed, for example, "arrange 2 persons to be responsible for security guidance and acceptance work" can be split into "arrange/2 persons/responsible/security guidance/and acceptance work" to obtain 6 feature entries. By constructing an evaluation function, which may be TF-IDF (term frequency-reverse document frequency), each feature term is evaluated, i.e. scored, such that each term obtains an evaluation value, also called a weight. The weight of all the feature entries is obtained, and the larger the weight is, the larger the key degree of the feature entries is ensured, so that the feature entries with the weight exceeding the preset weight range are extracted to serve as the key words of the power distribution network. It can be understood that the distribution network keywords contained in the initial filling content in the application are characteristic entries in the distribution network field, namely, the characteristic entries of the same class, and each characteristic entry is evaluated through an evaluation function, so that the characteristic entries with weights meeting the preset weight range are extracted, the accuracy of the distribution network keywords is ensured, the interference of non-distribution network keywords is avoided, and the subsequent processing efficiency of the initial filling content is improved.
As shown in fig. 4, in one embodiment, searching a target sub-graph associated with the change content from a preset power distribution network knowledge graph includes:
step 108A, using the changed content as a search term, and searching a node associated with the search term in a preset power distribution network knowledge graph to serve as a target node;
and step 108B, forming a map according to the target nodes to obtain a target sub-map.
In this embodiment, an entity extraction object associated with the variation content is searched in a preset power distribution network knowledge graph and linked to a corresponding node as a target node, and then the target nodes are connected as entities to obtain a target sub-graph.
In one embodiment, modifying the distribution network keyword based on the target sub-map to obtain the target filling content includes: determining corresponding keywords to be modified according to the change content; searching a target entity associated with the variable content in a target sub-map; and replacing the keywords to be modified with target entities to obtain target filling content.
In this embodiment, according to the logic of each distribution network keyword in the variation content, the target sub-map is used to determine the corresponding keyword to be modified, if the variation content in step 106 is changed from 3 persons to 6 persons, the keyword to be modified is "1 working day", the corresponding target entity is "0.5 working days", the keyword to be modified is replaced by the target entity, and the target filling content is obtained, so that the modification processing of the variation content is realized, and the target filling content is accurate and compliant.
In one embodiment, before searching the target sub-graph associated with the change content from the preset power distribution network knowledge graph, the method further comprises: the changing content is identified by highlighting text or setting color.
In this embodiment, the initial writing and filling content can be identified, for example, a highlight text mode or a color setting mode, for example, filling green or red, and the like, so that the identification of the variable content is realized, an operator can conveniently and quickly find the variable content, and the content change processing efficiency of the power distribution network operation file is further improved by manually modifying the variable content.
As shown in fig. 5, in one embodiment, a content variation processing apparatus of a power distribution network job file is provided, where the apparatus includes:
the acquiring module 502 is configured to acquire initial filling content input by a user in the power distribution network operation file;
the analysis module 504 is configured to perform semantic analysis on the initial filling content, and extract power distribution network keywords, where the power distribution network keywords include power distribution operation and corresponding operation conditions;
the monitoring module 506 is configured to monitor the change of the keyword of the power distribution network, and obtain the change content of the keyword of the power distribution network;
the searching module 508 is configured to search a target sub-graph associated with the variation content from the preset power distribution network knowledge graph;
and the processing module 510 is configured to modify the distribution network keyword based on the target sub-graph to obtain target filling content.
In one embodiment, the monitoring module comprises:
the monitoring unit is used for setting a flyback period, detecting the power distribution network keywords in different flyback periods and determining the changed power distribution keywords;
and the first determining unit is used for determining the changed distribution keywords as the change content.
In one embodiment, the content variation processing device of the power distribution network operation file further includes:
and the construction module is used for constructing a power distribution network knowledge graph which takes power distribution operation and operation conditions as power distribution network keywords according to the enterprise power distribution network operation standard.
In one embodiment, the analysis module comprises:
the splitting unit is used for splitting the initial filling content into a plurality of characteristic entries;
the evaluation unit is used for evaluating each characteristic entry by utilizing an evaluation function to obtain the weight of each characteristic entry;
and secondly, determining that the characteristic entry with the weight meeting a preset weight range is used as the distribution network keyword.
In one embodiment, the lookup module includes:
the retrieval unit is used for taking the change content as a retrieval word, and searching a node associated with the retrieval word in the preset power distribution network knowledge graph as a target node;
and the third determining unit is used for forming a map according to the target node to obtain the target sub-map.
In one embodiment, the processing module comprises:
a fourth determining unit, configured to determine a corresponding keyword to be modified according to the change content;
the searching unit is used for searching the target entity associated with the change content in the target sub-map;
and the processing unit is used for replacing the keywords to be modified with the target entity to obtain the target filling content.
In one embodiment, the content variation processing device of the power distribution network operation file further includes: and the identification module is used for identifying the change content in a highlighting text mode or a color setting mode.
FIG. 6 illustrates an internal block diagram of a computer device in one embodiment. The computer device may be, in particular, a server including, but not limited to, a high performance computer and a high performance computer cluster. As shown in fig. 6, the computer device includes a processor, a memory, and a network interface connected by a system bus. The memory includes a nonvolatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system, and may also store a computer program that, when executed by the processor, causes the processor to implement a method for processing content variations of the power distribution network job file. The internal memory may also store a computer program that, when executed by the processor, causes the processor to perform a method for processing content changes in the power distribution network job file. It will be appreciated by those skilled in the art that the structure shown in FIG. 6 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, the method for processing content variation of a power distribution network operation file provided by the present application may be implemented in a form of a computer program, where the computer program may be executed on a computer device as shown in fig. 6. The memory of the computer device may store therein various program templates of the content fluctuation processing means constituting the power distribution network job file. Such as acquisition module 502, analysis module 504, monitoring module 506, lookup module 508, and processing module 510.
A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of when executing the computer program: acquiring initial filling content input by a user in the power distribution network operation file; carrying out semantic analysis on the initial filling content, and extracting power distribution network keywords, wherein the power distribution network keywords comprise power distribution operation and corresponding operation conditions; performing change monitoring on the power distribution network keywords to obtain change contents of the power distribution network keywords; searching a target sub-map associated with the change content from the preset power distribution network knowledge map; and modifying the distribution network keywords based on the target sub-map to obtain target filling content.
In one embodiment, the performing change monitoring on the distribution network keyword to obtain change contents of the distribution network keyword includes: setting a flyback period, detecting the power distribution network keywords in different flyback periods, and determining the changed power distribution keywords; and determining the changed distribution keywords as the change content.
In one embodiment, before the acquiring the initial filling content input by the user in the power distribution network job file, the method further includes: the construction of the preset power distribution network knowledge graph comprises the following steps: and constructing a power distribution network knowledge graph which takes power distribution operation and operation conditions as power distribution network keywords according to enterprise power distribution network operation standards.
In one embodiment, the semantic analysis of the initial filling content is performed, and extracting the distribution network keywords includes: splitting the initial filling content into a plurality of characteristic entries; evaluating each characteristic entry by using an evaluation function to obtain the weight of each characteristic entry; and taking the characteristic entry with the weight meeting a preset weight range as the power distribution network keyword.
In one embodiment, the searching the target sub-graph associated with the variation content from the preset power distribution network knowledge graph includes: taking the change content as a search term, and searching a node associated with the search term in the preset power distribution network knowledge graph to serve as a target node; and forming a map according to the target node to obtain the target sub-map.
In one embodiment, the modifying the distribution network keyword based on the target sub-map to obtain the target filling content includes: determining corresponding keywords to be modified according to the change content; searching a target entity associated with the change content in the target sub-map; and replacing the keywords to be modified with the target entity to obtain the target filling content.
In one embodiment, before the searching the target sub-graph associated with the variation content from the preset power distribution network knowledge graph, the method further includes: and identifying the change content in a highlighting text mode or a color setting mode.
A computer readable storage medium storing a computer program which when executed by a processor performs the steps of: acquiring initial filling content input by a user in the power distribution network operation file; carrying out semantic analysis on the initial filling content, and extracting power distribution network keywords, wherein the power distribution network keywords comprise power distribution operation and corresponding operation conditions; performing change monitoring on the power distribution network keywords to obtain change contents of the power distribution network keywords; searching a target sub-map associated with the change content from the preset power distribution network knowledge map; and modifying the distribution network keywords based on the target sub-map to obtain target filling content.
In one embodiment, the performing change monitoring on the distribution network keyword to obtain change contents of the distribution network keyword includes: setting a flyback period, detecting the power distribution network keywords in different flyback periods, and determining the changed power distribution keywords; and determining the changed distribution keywords as the change content.
In one embodiment, before the acquiring the initial filling content input by the user in the power distribution network job file, the method further includes: the construction of the preset power distribution network knowledge graph comprises the following steps: and constructing a power distribution network knowledge graph which takes power distribution operation and operation conditions as power distribution network keywords according to enterprise power distribution network operation standards.
In one embodiment, the semantic analysis of the initial filling content is performed, and extracting the distribution network keywords includes: splitting the initial filling content into a plurality of characteristic entries; evaluating each characteristic entry by using an evaluation function to obtain the weight of each characteristic entry; and taking the characteristic entry with the weight meeting a preset weight range as the power distribution network keyword.
In one embodiment, the searching the target sub-graph associated with the variation content from the preset power distribution network knowledge graph includes: taking the change content as a search term, and searching a node associated with the search term in the preset power distribution network knowledge graph to serve as a target node; and forming a map according to the target node to obtain the target sub-map.
In one embodiment, the modifying the distribution network keyword based on the target sub-map to obtain the target filling content includes: determining corresponding keywords to be modified according to the change content; searching a target entity associated with the change content in the target sub-map; and replacing the keywords to be modified with the target entity to obtain the target filling content.
In one embodiment, before the searching the target sub-graph associated with the variation content from the preset power distribution network knowledge graph, the method further includes: and identifying the change content in a highlighting text mode or a color setting mode.
Those skilled in the art will appreciate that all or part of the processes in the methods of the above embodiments may be implemented by a computer program for instructing relevant hardware, where the program may be stored in a non-volatile computer readable storage medium, and where the program, when executed, may include processes in the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
Claims (7)
1. A method for processing content variation of a power distribution network operation file, the method comprising:
acquiring initial filling content input by a user in the power distribution network operation file;
performing semantic analysis on the initial filling content, including: splitting the initial filling content into a plurality of characteristic entries, evaluating each characteristic entry by using an evaluation function to obtain the weight of each characteristic entry, and taking the characteristic entries with the weight meeting a preset weight range as power distribution network keywords; extracting power distribution network keywords, wherein the power distribution network keywords comprise power distribution operation and corresponding operation conditions;
performing change monitoring on the distribution network keywords to obtain change contents of the distribution network keywords, wherein the change contents comprise: setting a flyback period, detecting the distribution network keywords in different flyback periods, determining the distribution keywords which change, and determining the distribution keywords which change as the change content;
searching a target sub-map associated with the change content from a preset power distribution network knowledge map, wherein the searching comprises the following steps: searching a node associated with the search word in the preset power distribution network knowledge graph to serve as a target node by taking the change content as the search word, and forming a graph according to the target node to obtain the target sub-graph;
and modifying the distribution network keywords based on the target sub-map to obtain target filling content.
2. The method for processing the content variation of the power distribution network job file according to claim 1, wherein before the acquiring the initial filling content input by the user in the power distribution network job file, further comprising: the construction of the preset power distribution network knowledge graph comprises the following steps:
and constructing a power distribution network knowledge graph which takes power distribution operation and operation conditions as power distribution network keywords according to enterprise power distribution network operation standards.
3. The method for processing content variation of a power distribution network operation file according to claim 1, wherein the modifying the power distribution network keyword based on the target sub-map to obtain target filling content includes:
determining corresponding keywords to be modified according to the change content;
searching a target entity associated with the change content in the target sub-map;
and replacing the keywords to be modified with the target entity to obtain the target filling content.
4. The method for processing content variation of a power distribution network operation file according to claim 1, wherein before searching a target sub-map associated with the variation content from a preset power distribution network knowledge map, the method further comprises:
and identifying the change content in a highlighting text mode or a color setting mode.
5. A content change processing device for an operation file of a power distribution network, the device comprising:
the acquisition module is used for acquiring initial filling content input by a user in the power distribution network operation file;
the analysis module is used for carrying out semantic analysis on the initial filling content and comprises the following steps: splitting the initial filling content into a plurality of characteristic entries, evaluating each characteristic entry by using an evaluation function to obtain the weight of each characteristic entry, and taking the characteristic entries with the weight meeting a preset weight range as power distribution network keywords; extracting power distribution network keywords, wherein the power distribution network keywords comprise power distribution operation and corresponding operation conditions;
the monitoring module is used for carrying out change monitoring on the distribution network keywords to obtain change contents of the distribution network keywords, and comprises setting a flyback period, detecting the distribution network keywords in different flyback periods, determining changed distribution keywords, and determining the changed distribution keywords as the change contents;
the searching module is used for searching a target sub-map associated with the change content from a preset power distribution network knowledge map, and comprises the steps of taking the change content as a search term, searching nodes associated with the search term in the preset power distribution network knowledge map as target nodes, forming a map according to the target nodes, and obtaining the target sub-map;
and the processing module is used for modifying the distribution network keywords based on the target sub-map to obtain target filling content.
6. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor, when executing the computer program, implements the steps of the method for processing content variations of a power distribution network job file according to any one of claims 1 to 4.
7. A computer-readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the steps of the method for processing content fluctuation of a power distribution network job file according to any one of claims 1 to 4.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH05258012A (en) * | 1992-03-11 | 1993-10-08 | Mitsubishi Electric Corp | Rule checking device |
| CN102222285A (en) * | 2011-06-28 | 2011-10-19 | 用友软件股份有限公司 | Multi-dimensional data linkage computing device and multi-dimensional data linkage computing method |
| CN102789620A (en) * | 2011-05-18 | 2012-11-21 | 张弛 | Method and system for processing financial data |
| CN109508391A (en) * | 2018-12-28 | 2019-03-22 | 北京金山安全软件有限公司 | Input prediction method and device based on knowledge graph and electronic equipment |
| CN109656385A (en) * | 2018-12-28 | 2019-04-19 | 北京金山安全软件有限公司 | Input prediction method and device based on knowledge graph and electronic equipment |
| CN110727804A (en) * | 2019-10-11 | 2020-01-24 | 北京明略软件系统有限公司 | Method and device for processing maintenance case by using knowledge graph and electronic equipment |
| CN111046189A (en) * | 2019-11-27 | 2020-04-21 | 广东电网有限责任公司 | Modeling method of power distribution network knowledge graph model |
| CN111460770A (en) * | 2020-03-30 | 2020-07-28 | 广州视源电子科技股份有限公司 | Method, device, equipment and storage medium for synchronizing element attributes in document |
| CN112035658A (en) * | 2020-08-05 | 2020-12-04 | 海纳致远数字科技(上海)有限公司 | Enterprise public opinion monitoring method based on deep learning |
-
2020
- 2020-12-07 CN CN202011419981.5A patent/CN112507129B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH05258012A (en) * | 1992-03-11 | 1993-10-08 | Mitsubishi Electric Corp | Rule checking device |
| CN102789620A (en) * | 2011-05-18 | 2012-11-21 | 张弛 | Method and system for processing financial data |
| CN102222285A (en) * | 2011-06-28 | 2011-10-19 | 用友软件股份有限公司 | Multi-dimensional data linkage computing device and multi-dimensional data linkage computing method |
| CN109508391A (en) * | 2018-12-28 | 2019-03-22 | 北京金山安全软件有限公司 | Input prediction method and device based on knowledge graph and electronic equipment |
| CN109656385A (en) * | 2018-12-28 | 2019-04-19 | 北京金山安全软件有限公司 | Input prediction method and device based on knowledge graph and electronic equipment |
| CN110727804A (en) * | 2019-10-11 | 2020-01-24 | 北京明略软件系统有限公司 | Method and device for processing maintenance case by using knowledge graph and electronic equipment |
| CN111046189A (en) * | 2019-11-27 | 2020-04-21 | 广东电网有限责任公司 | Modeling method of power distribution network knowledge graph model |
| CN111460770A (en) * | 2020-03-30 | 2020-07-28 | 广州视源电子科技股份有限公司 | Method, device, equipment and storage medium for synchronizing element attributes in document |
| CN112035658A (en) * | 2020-08-05 | 2020-12-04 | 海纳致远数字科技(上海)有限公司 | Enterprise public opinion monitoring method based on deep learning |
Non-Patent Citations (1)
| Title |
|---|
| 丁祎姗 ; 杜彦辉 ; 朱衍丞 ; 聂世民 ; .基于知识图谱的国内关键词抽取技术研究.软件导刊.2020,(02),279-283. * |
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