CN111340253B - Analysis method and system for main network maintenance application form - Google Patents
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Abstract
The disclosure provides a method and a system for analyzing a main network maintenance application form, wherein the analyzing method comprises the following steps: acquiring a power grid equipment model and acquiring an overhaul application form; according to the power grid equipment model, taking equipment names as recognition words, and establishing an equipment dictionary; establishing a text analysis model containing overhaul equipment and safety measure contents according to the equipment naming rules and the equipment state rules; and analyzing the specific text information in the overhaul application form by adopting a text analysis algorithm according to the text analysis model and the equipment dictionary to obtain the power grid equipment objectification information. By establishing a text analysis model according to the equipment naming rules and the equipment state rules, text information input by an maintainer is reordered and semanteme is analyzed, key content in the text information is extracted, and corresponding objectified information of the text data is generated, so that a rapid and accurate analysis result can be realized.
Description
Technical Field
The disclosure relates to the technical field of power systems, in particular to a method and a system for analyzing a main network maintenance application form.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
The maintenance of the power grid equipment is divided into scheduled maintenance and temporary maintenance, wherein the scheduled maintenance is carried out according to a pre-programmed maintenance plan, and the temporary maintenance is carried out when the power grid equipment has defects or faults. According to the maintenance purpose and the maintenance scope, maintenance personnel fill in maintenance application forms on a main network regulation and control operation management platform, submit the maintenance application forms to related unit departments and leaders for examination and approval, and maintenance equipment generally comprises a line, a main transformer, a bus, a capacitor, a switch, a disconnecting link and a PT, and safety measures generally change the equipment in the maintenance scope into a cold standby or maintenance state.
The scheduling staff is the most important link in the process of transferring the overhaul application form, and after the overhaul application form is transferred to the scheduling staff, the scheduling staff performs scheduling operations such as power failure, power transmission and the like on equipment in an overhaul range according to overhaul equipment and safety measures of the overhaul application form.
The maintenance work is diversified, the maintenance personnel contains multiple information such as maintenance equipment, the safety measure of maintenance at the maintenance application form, and some items have set up the selection information in the maintenance form, can directly select objectification information through the selection information, and main network regulation and control operation management platform can directly discern the maintenance task output recognition result that objectification information corresponds, and the content that has in the maintenance form is the text information of maintenance application personnel direct input, and main network regulation and control operation management platform just can not directly output the analysis result, needs the dispatch personnel to carry out artifical check to the maintenance form, extravagant check time. Or, because the equipment objectification information in the overhaul application form is imperfect, the main network regulation and control operation management platform can only check the overhaul application form according to the known equipment objectification information, and the accuracy and the integrity of the check result cannot be ensured. Therefore, when the overhaul application form is transferred to the scheduling staff, some scheduling staff neglect the checking result of the platform and check the overhaul application form according to the operation rule and own experience, so that on one hand, subjective factors are strong, errors are easy to occur, on the other hand, the efficiency is low, and the work efficiency of the scheduling staff is greatly reduced.
Disclosure of Invention
In order to solve the problems, the disclosure provides a method and a system for analyzing a main network maintenance application form, which acquire a power grid equipment model from a main network monitoring system, acquire the maintenance application form from a main network regulation and control operation management platform, subject maintenance equipment and safety measures of the maintenance application form to identification by adopting a text analysis algorithm based on equipment naming rules and equipment state rules, and return identification results to the main network regulation and control operation management platform.
In order to achieve the above purpose, the present disclosure adopts the following technical scheme:
one or more embodiments provide a method for analyzing a main network overhaul application form, including the following steps:
acquiring a power grid equipment model and acquiring an overhaul application form;
according to the power grid equipment model, taking equipment names as recognition words, and establishing an equipment dictionary;
establishing a text analysis model containing overhaul equipment and safety measure contents according to the equipment naming rules and the equipment state rules;
and analyzing the specific text information in the overhaul application form by adopting a text analysis algorithm according to the text analysis model and the equipment dictionary to obtain the power grid equipment objectification information.
One or more embodiments provide a system for parsing a main network service application form, including:
and a reading module: the method comprises the steps of acquiring a power grid equipment model and acquiring an overhaul application form;
the device dictionary creation module: the method comprises the steps of establishing a device dictionary by taking a device name as a recognition word according to a power grid device model;
the text analysis model building module: the text analysis model containing overhaul equipment and safety measure contents is established according to the equipment naming rules and the equipment state rules;
and an analysis module: and the method is used for analyzing the specific text information in the overhaul application form by adopting a text analysis algorithm according to the text analysis model and the equipment dictionary to obtain the power grid equipment objectification information.
An electronic device comprising a memory and a processor and computer instructions stored on the memory and running on the processor, which when executed by the processor, perform the steps of the method described above.
A computer readable storage medium storing computer instructions which, when executed by a processor, perform the steps of the method described above.
Compared with the prior art, the beneficial effects of the present disclosure are:
(1) According to the method, the power grid equipment model is obtained from the main station monitoring system, the maintenance application form is obtained from the main network regulation operation management platform, the maintenance equipment and safety measures of the maintenance application form are objectively identified by adopting a text analysis algorithm based on equipment naming rules and equipment state rules, and an identification result is returned to the main network regulation operation management platform, so that complete and accurate equipment objectification information can be obtained, and automatic analysis of the maintenance application form is realized.
(2) Different maintenance staff know different for the objectified data of the equipment, different staff have differences for the description text of the same maintenance, text analysis models are established according to equipment naming rules and equipment state rules, text information input by the maintenance staff is reordered and analyzed to semanteme, key content in the text information is extracted, and corresponding objectified information of the text data is generated, so that rapid and accurate analysis can be realized.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure, illustrate and explain the exemplary embodiments of the disclosure and together with the description serve to explain and do not limit the disclosure.
FIG. 1 is a flow chart of the parsing method of embodiment 1 of the present disclosure;
fig. 2 is a system block diagram of embodiment 2 of the present disclosure.
The specific embodiment is as follows:
the disclosure is further described below with reference to the drawings and examples.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the present disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments in accordance with the present disclosure. As used herein, the singular is also intended to include the plural unless the context clearly indicates otherwise, and furthermore, it is to be understood that the terms "comprises" and/or "comprising" when used in this specification are taken to specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof. It should be noted that, without conflict, the various embodiments and features of the embodiments in the present disclosure may be combined with each other. The embodiments will be described in detail below with reference to the accompanying drawings.
Technical term interpretation
Objectified information: the power system model defines objects and interrelationships based on IEC61970 and CIM/E standards. From the aspect of generality, modeling is required to be performed on general data objects of power dispatching related elements such as power grids, equipment, elements, systems, control sections, organizations, equipment states, equipment operations, public objects and the like, abstract modeling and sub-table design are performed on the relation between power regulation and control business objects and objects, and a general basic information model is provided for regulation and control management business. The power schedule data objects need to be globally shared between multi-level scheduling systems (vertically) and across professions (horizontally), and in order to avoid duplication and invalid redundancy, the data object ID encoding rules have global uniqueness. The ID as a unique identification of the grid data object has invariance over its full life cycle and global application scope, i.e. once generated, the ID does not change as the data object properties change. The ID is used as an identity confirmation code of transverse and longitudinal interaction between all applications of the dispatching system, and meanwhile, the unique identification of the original application is not changed.
The application form text is analyzed, the types of the objects which can be obtained comprise a transformer substation, a circuit, equipment, a voltage level and an equipment state, the objects respectively express certain semantics in the text context, the semantics comprise an operation place, operation equipment, connection equipment, a pre-operation state and a post-operation state, and the structural information consisting of semantic names and data objects is the objectification information of the text.
Example 1
In the technical solution disclosed in one or more embodiments, as shown in fig. 1, a method for analyzing a main network maintenance application form includes the following steps:
step 1, acquiring a power grid equipment model and acquiring an overhaul application form;
and 2, establishing an equipment dictionary by taking the equipment name as an identification word according to the power grid equipment model.
Step 3, establishing a text analysis model containing overhaul equipment and safety measure contents according to the equipment naming rules and the equipment state rules;
and 4, analyzing the specific text information in the overhaul application form by adopting a text analysis algorithm according to the text analysis model and the equipment dictionary to obtain and output equipment objectification information.
In the step 1, a power grid equipment model is obtained, a master station monitoring system of a power system can be directly connected, a folder of the power grid equipment model is exported by the master station monitoring system, and the updated file of equipment is found to automatically read file data. The power grid equipment model is retrieved from the main station monitoring system of the power system, all power equipment of the power system can be covered, the coverage area is wide, an accurate equipment dictionary can be provided, and the retrieval model is convenient to provide.
The main station monitoring system is used as a power grid production system, the equipment model accords with the general standard IEC61970, and the equipment model is perfect. The master station monitoring system can export the power grid equipment model into files conforming to the universal standard IEC61970 at regular intervals every day, and transmit the text to a designated server and a folder. The file data can be automatically read by monitoring the folder and finding the file, and the file is updated to the database of the system.
The method for acquiring the overhaul application form can acquire the overhaul application form from the main network regulation operation management platform at regular time and store the overhaul application form in a database of the system.
As a further technical scheme, in step 2, the equipment dictionary adopts a Trie structure, so that the retrieval efficiency of the dictionary is improved.
The Trie is also called a word search tree, which is a tree-like structure, and is a variant of a hash tree. The method is used for counting, sorting and storing a large number of character strings (but not limited to character strings), the Trie uses the common prefix of the character strings to reduce the inquiry time, furthest reduces unnecessary character string comparison, has higher inquiry efficiency than the hash tree, and is characterized in that: the root node does not contain characters, and each node except the root node contains only one character; from the root node to a certain node, the characters passing through the path are connected to form a character string corresponding to the node; all child nodes of each node contain different characters.
Step 3 is a construction step of a text analysis model: the text analysis model may be a rule model for performing phrase combination and semantic extraction after word segmentation of the text information, and optionally, the embodiment may be defined according to a device name and a term rule of a user, and may include a semantic type field, a phrase mode set and a semantic mode set.
1) The semantic type field is used to define the semantic type of the word that appears in the text information, including device type, device status type, and technical terms.
Each word (or phrase) expresses a meaning in the text context, the semantic type is the classification of the meaning of the word in the text context, the data structure is formed by the semantic type and the data object identified by the word, and the semantic type and the semantic object are the objectified information of the text.
2) The phrase pattern set is used to define various combination patterns of device names. Such as pole switches, knife switches, fuses with pole-to-pole connection switches:
10kV apiary branch #48-1 pole apiary #8 distribution drop-out fuse;
10kV fomentation rear line #88 rod Z-La07 switch and P-La089 knife switch;
the word number groups after word segmentation are respectively as follows:
[10kV ] [ apigenin branch ] [ 48-1 rod ] [ apigenin #8 distribution ] [ drop-out fuse ];
[10kV ] [ post-fomentation wire ] [ 88 rod ] [ Z-La07 switch ] [ P-La089 knife switch ];
phrase patterns are defined by word sense type:
[ voltage class ] [ line ] [ tower ] [ distribution transformer ] [ fuse ];
[ Voltage class ] [ Circuit ] [ Tower ] [ switch ] [ knife switch ];
3) The semantic pattern set is used for defining rules for extracting semantics in overhaul equipment and safety measure texts. For example:
[10kV to industrial line (south guard) #14 rod 902 line ] [ overhaul ];
[ release ] [110kV Ding Cuo to 10kV Yang Cuo I back 906 switch ] [ reclose protection ];
[ pulling out ] [ angle beauty electric room 10kV multi-edge I line #12 rod ] [ cable head ];
semantic extraction patterns are defined by semantic types:
[ device ] [ transition ] [ destination state ];
[ operation ] [ device ] [ protection type ];
operation device type;
in step 4, according to the text analysis model and the equipment dictionary, the text analysis algorithm is adopted to analyze the specific text information in the overhaul application form, and the method for obtaining the equipment objectification information comprises the following steps:
step 41, based on the equipment dictionary (Trie) obtained in the step 2, adopting a maximum matching algorithm to search the text for dictionary segmentation to obtain a word array A corresponding to the text information in the application form;
step 42, performing pattern matching on the word array A based on the equipment name phrase pattern set, and performing phrase combination on the matched sub-array a to obtain a combined word array B;
and 43, carrying out semantic pattern matching on the word array B based on the semantic pattern set, extracting the device object and the destination state semantics of the word array B according to the matched semantic pattern, and generating device objectification information.
In summary, the method of the present embodiment has the following advantages:
(1) According to the method, the power grid equipment model is obtained from the main station monitoring system, the maintenance application form is obtained from the main network regulation operation management platform, the maintenance equipment and safety measures of the maintenance application form are objectively identified by adopting a text analysis algorithm based on equipment naming rules and equipment state rules, and an identification result is returned to the main network regulation operation management platform, so that complete and accurate equipment objectification information can be obtained, and automatic analysis of the maintenance application form is realized.
(2) The analysis method disclosed by the invention can be used for retrieving the power grid equipment model from the main station monitoring system of the power system, can cover all power equipment of the power system, has wide coverage, can provide an accurate equipment dictionary, and is convenient for providing a retrieval model. And the Trie structure is adopted, so that the retrieval efficiency of the dictionary is improved.
(3) Different maintenance staff know different for the objectified data of the equipment, different staff have differences for the description text of the same maintenance, text analysis models are established according to equipment naming rules and equipment state rules, text information input by the maintenance staff is reordered and analyzed to semanteme, key content in the text information is extracted, and corresponding objectified information of the text data is generated, so that rapid and accurate analysis can be realized. And finally, the identified equipment objectification information is sent to a main network regulation and control operation management platform, so that the automatic overhaul of an overhaul application form can be realized, the accuracy of checking is improved, and the labor cost is reduced.
Example 2
The embodiment provides an analysis system of a main network overhaul application form, which comprises:
and a reading module: the method comprises the steps of acquiring a power grid equipment model and acquiring an overhaul application form;
the device dictionary creation module: the method comprises the steps of establishing a device dictionary by taking a device name as a recognition word according to a power grid device model;
the text analysis model building module: the text analysis model containing overhaul equipment and safety measure contents is established according to the equipment naming rules and the equipment state rules;
and an analysis module: and the method is used for analyzing the specific text information in the overhaul application form by adopting a text analysis algorithm according to the text analysis model and the equipment dictionary to obtain the power grid equipment objectification information.
The further text parsing model comprises a semantic type field, a phrase pattern set and a semantic pattern set;
the semantic type field is used for defining semantic types of words appearing in text information, including device types, device state types and technical terms;
the phrase pattern set is used to define various combination patterns of device names;
semantic pattern set the semantic pattern set is used to define rules for extracting semantics from the overhaul equipment and the safety measure text.
The parsing module includes:
the word segmentation module: the method comprises the steps of obtaining a device dictionary, searching a text by using a maximum matching algorithm, and segmenting the text to obtain a word array A corresponding to text information in an application form;
word reorganization module: the method comprises the steps of performing pattern matching on a word array A based on a device name phrase pattern set, and performing phrase combination on a sub-array a obtained after matching to obtain a combined word array B;
the objectification information generation module: the method comprises the steps of carrying out semantic pattern matching on a word array B based on a semantic pattern set, extracting device objects and destination state semantics of the word array B according to the matched semantic pattern, and generating device objectification information.
Example 3
The present embodiment provides an electronic device comprising a memory and a processor, and computer instructions stored on the memory and running on the processor, which when executed by the processor, perform the steps recited in the method of embodiment 1.
Example 4
The present embodiment provides a computer readable storage medium storing computer instructions that, when executed by a processor, perform the steps of the method of embodiment 1.
The electronic device provided by the present disclosure may be a mobile terminal and a non-mobile terminal, where the non-mobile terminal includes a desktop computer, and the mobile terminal includes a Smart Phone (such as an Android Phone, an IOS Phone, etc.), a Smart glasses, a Smart watch, a Smart bracelet, a tablet computer, a notebook computer, a personal digital assistant, and other mobile internet devices capable of performing wireless communication.
It should be appreciated that in this disclosure, the processor may be a central processing unit, CPU, the processor may also be other general purpose processors, digital signal processors, DSPs, application specific integrated circuits, ASICs, off-the-shelf programmable gate arrays, FPGAs, or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory may include read only memory and random access memory and provide instructions and data to the processor, and a portion of the memory may also include non-volatile random access memory. For example, the memory may also store information of the device type.
In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or by instructions in the form of software. The steps of a method disclosed in connection with the present disclosure may be embodied directly in a hardware processor for execution, or in a combination of hardware and software modules in a processor for execution. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in a memory, and the processor reads the information in the memory and, in combination with its hardware, performs the steps of the above method. To avoid repetition, a detailed description is not provided herein. Those of ordinary skill in the art will appreciate that the elements of the various examples described in connection with the embodiments disclosed herein, i.e., the algorithm steps, can be implemented as electronic hardware, or as a combination of computer software and electronic hardware. Whether such functionality is implemented as 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 disclosure.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In several embodiments provided in the present disclosure, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, and for example, the division of the units is merely a division of one logic function, and there may be additional divisions when actually implemented, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. In addition, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interface, device or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present disclosure may be embodied in essence or a part contributing to the prior art or a part of the technical solution, or in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in the embodiments of the present disclosure. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing description of the preferred embodiments of the present disclosure is provided only and not intended to limit the disclosure so that various modifications and changes may be made to the present disclosure by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present disclosure should be included in the protection scope of the present disclosure.
While the specific embodiments of the present disclosure have been described above with reference to the drawings, it should be understood that the present disclosure is not limited to the embodiments, and that various modifications and changes can be made by one skilled in the art without inventive effort on the basis of the technical solutions of the present disclosure while remaining within the scope of the present disclosure.
Claims (7)
1. The method for analyzing the main network overhaul application form is characterized by comprising the following steps:
acquiring a power grid equipment model and acquiring an overhaul application form;
according to the power grid equipment model, taking equipment names as recognition words, and establishing an equipment dictionary;
establishing a text analysis model containing overhaul equipment and safety measure contents according to the equipment naming rules and the equipment state rules; the text analysis model comprises a semantic type field, a phrase mode set and a semantic mode set; the semantic type field is used for defining semantic types of words appearing in text information, including device types, device state types and technical terms; the phrase pattern set is used to define various combination patterns of device names; the semantic pattern set is used for defining rules for extracting semantics from the maintenance equipment and the safety measure text;
according to the text analysis model and the equipment dictionary, analyzing the specific text information in the overhaul application form by adopting a text analysis algorithm to obtain the power grid equipment objectified information, and comprising the following steps: based on the obtained equipment dictionary, adopting a maximum matching algorithm to search the text and divide words in the dictionary to obtain a word array A corresponding to the text information in the application form; performing pattern matching on the word array A based on the equipment name phrase pattern set, and performing phrase combination on the matched sub-arrays a to obtain a combined word array B; and carrying out semantic pattern matching on the word array B based on the semantic pattern set, and extracting the device object and the destination state semantic of the word array B according to the matched semantic pattern to generate device objectification information.
2. The method for analyzing the main network maintenance application form according to claim 1, wherein the method comprises the following steps: the power grid equipment model is called from a master station monitoring system of the power system, a folder of the power grid equipment model is exported by the master station monitoring system in real time, and file data are automatically read.
3. The method for analyzing the main network maintenance application form according to claim 1, wherein the method comprises the following steps: the device dictionary adopts a Trie tree structure.
4. The method for analyzing the main network maintenance application form according to claim 1, wherein the method comprises the following steps: the text analysis model is a rule model for phrase combination and semantic extraction after word segmentation of the text information, and is defined according to the equipment name and term rule of the user.
5. The utility model provides an analytic system of main network maintenance application form which characterized in that includes:
and a reading module: the method comprises the steps of acquiring a power grid equipment model and acquiring an overhaul application form;
the device dictionary creation module: the method comprises the steps of establishing a device dictionary by taking a device name as a recognition word according to a power grid device model;
the text analysis model building module: the text analysis model containing overhaul equipment and safety measure contents is established according to the equipment naming rules and the equipment state rules; the text analysis model comprises a semantic type field, a phrase mode set and a semantic mode set; the semantic type field is used for defining semantic types of words appearing in text information, including device types, device state types and technical terms; the phrase pattern set is used to define various combination patterns of device names; the semantic pattern set is used for defining rules for extracting semantics from the maintenance equipment and the safety measure text;
and an analysis module: the method comprises the steps of analyzing specific text information in a maintenance application form by adopting a text analysis algorithm according to a text analysis model and an equipment dictionary to obtain power grid equipment objectification information; the parsing module includes:
the word segmentation module: the method comprises the steps of obtaining a device dictionary, searching a text by using a maximum matching algorithm, and segmenting the text to obtain a word array A corresponding to text information in an application form;
word reorganization module: the method comprises the steps of performing pattern matching on a word array A based on a device name phrase pattern set, and performing phrase combination on a sub-array a obtained after matching to obtain a combined word array B;
the objectification information generation module: the method comprises the steps of carrying out semantic pattern matching on a word array B based on a semantic pattern set, extracting device objects and destination state semantics of the word array B according to the matched semantic pattern, and generating device objectification information.
6. An electronic device comprising a memory and a processor and computer instructions stored on the memory and running on the processor, which when executed by the processor, perform the steps of the method of any of claims 1-4.
7. A computer readable storage medium storing computer instructions which, when executed by a processor, perform the steps of the method of any of claims 1-4.
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| CN109376353A (en) * | 2018-09-04 | 2019-02-22 | 国家电网公司华东分部 | A kind of power grid start-up operation ticket generating means and method based on natural language processing |
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