CN116955448A - Electrical load navigation method and system - Google Patents

Electrical load navigation method and system Download PDF

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Publication number
CN116955448A
CN116955448A CN202310767470.XA CN202310767470A CN116955448A CN 116955448 A CN116955448 A CN 116955448A CN 202310767470 A CN202310767470 A CN 202310767470A CN 116955448 A CN116955448 A CN 116955448A
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electrical load
electrical
page
electrical system
algorithm
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Inventor
陈海云
李良鹏
高峰
陈言
李玉珍
段新平
杨琼宇
齐永
郭文海
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Shanghai Changgeng Information Technology Co ltd
Guoneng Taicang Power Generation Co ltd
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Shanghai Changgeng Information Technology Co ltd
Guoneng Taicang Power Generation Co ltd
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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
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2462—Approximate or statistical queries
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/248—Presentation of query results
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25—Integrating or interfacing systems involving database management systems
    • G06F16/252—Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28—Databases characterised by their database models, e.g. relational or object models
    • G06F16/284—Relational databases
    • G06F16/285—Clustering or classification
    • G06F16/287—Visualization; Browsing
    • 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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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Software Systems (AREA)
  • Mathematical Physics (AREA)
  • Fuzzy Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Animal Behavior & Ethology (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The application discloses an electric load navigation method and system, which relate to the technical field of electric load navigation. The position index algorithm and the improved PageRank algorithm adopted by the application not only solve the phenomenon that the PageRank algorithm cannot be calculated because the webpage is zero, but also greatly improve the accuracy of the search result, can help operators to quickly and accurately finish the positioning of the electrical load, and realize the quick visual global display and local display of the electrical system in the digital space.

Description

Electrical load navigation method and system
Technical Field
The application relates to the technical field of electric load navigation, in particular to an electric load navigation method and system.
Background
Along with the rapid development of information technology, information equipment and an intelligent platform are also rapidly developed, and the improvement of information retrieval efficiency can bring better experience to users. At present, complicated electric switching operation and various business processes of a power plant are still in the physical world, and are lack of corresponding modules such as entity digital mirror images, knowledge, business logic and the like in a digital space, so that fuzzy load inquiry positioning and load path hierarchical logic visualization are difficult to realize.
The essence of intelligent search is character string matching, and an efficient character string matching algorithm plays an important role in quick search. If the position information of the matched string can be directly obtained, the matching string can be directly and accurately matched according to the position information when being matched, and the matching efficiency can be greatly improved.
Therefore, how to informatize and digitize the electrical system diagram and integrate and arrange the internal logic of the electrical system diagram, and integrate the periodic work information and the operation information to form a knowledge graph and perform manual intelligent search is a problem to be solved by those skilled in the art.
Disclosure of Invention
Therefore, the application provides an electric load navigation method and system, which are used for solving the problems that the power plant in the prior art is difficult to realize load fuzzy query positioning and load path hierarchical logic visualization.
In order to achieve the above object, the present application provides the following technical solutions:
in a first aspect, an electrical load navigation method includes:
step 1: acquiring an electrical system diagram;
step 2: converting the electrical system diagram into a picture file;
step 3: establishing an electrical load knowledge graph according to the picture file;
step 4: the electrical load knowledge graph is sent to a display interface for display;
step 5: receiving a query command input by an operator from a display interface;
step 6: and jumping to the position of the electrical load through a position index algorithm and a PageRank algorithm according to the query command.
Preferably, in step 1, the electrical system map is obtained from a power plant SIS system.
Preferably, in the step 4, the sending of the electrical load knowledge graph to a display interface for display includes electrical system display and load path visualization display.
Preferably, in the step 6, the position indexing algorithm directly obtains the position information of the matched string according to the query command, and performs matching according to the position information when the matched string is matched.
Preferably, in the step 6, the PageRank algorithm divides the importance degree of the page according to the weight ratio and transmits the divided importance degree to the search web page to obtain the PageRank value of the search page.
Preferably, the PageRank algorithm has a calculation formula:
wherein PR is PR 1 (u) represents the page level of the page u, d represents the probability that the user will reach a page at random, Σ () is a sum function, B (u) represents the set of linked-in pages u, α represents the weight ratio of the linked-in weight factors, V u Representing the link access click volume of web page V to web page u,represents the in-chain weight factor, beta represents the weight ratio of the chain weight factor, +.>Representing the chain weight factor, PR 1 (v) Representing the page level of page v, TL (v) represents the access click-through amount of all links associated with the page.
In a second aspect, an electrical load navigation system comprises:
the power plant SIS system module is used for acquiring an electrical system diagram;
the electrical system diagram information digitizing module is used for converting the electrical system diagram into a picture file and establishing an electrical load knowledge graph according to the picture file;
the electrical system display module is used for sending the electrical load knowledge graph to a display interface for display;
and the artificial intelligent search algorithm optimization module is used for receiving a query command input by an operator from a display interface and jumping to the position where the electrical load is located through a position index algorithm and a PageRank algorithm according to the query command.
Preferably, the electrical system diagram information digitizing module includes:
the existing text format unit is used for converting the existing text format of the electrical system diagram into a picture file;
the PDF conversion picture unit is used for converting a PDF file of the electrical system picture into a picture file;
and the knowledge graph establishing unit is used for establishing an electrical load knowledge graph according to the picture file.
Preferably, the electrical system display module includes:
the electrical system display unit is used for displaying the electrical system according to the electrical load knowledge graph;
and the load path visualization unit is used for displaying the load path according to the electrical load knowledge graph.
Preferably, the artificial intelligence search algorithm optimization module includes:
the position index algorithm unit is used for directly acquiring the position information of the matched string according to the query command, and matching according to the position information when the matched string is matched;
and the PageRank algorithm unit is used for dividing the importance degree of the page surface according to the weight ratio and transmitting the importance degree to the search webpage to obtain the PageRank value of the search webpage.
Compared with the prior art, the application has at least the following beneficial effects:
the application provides an electric load navigation method and system, which are characterized in that an electric system diagram is obtained, the electric system diagram is converted into a picture file, an electric load knowledge graph is established according to the picture file, the electric load knowledge graph is sent to a display interface for display, a query command input by an operator from the display interface is received, and the electric load is jumped to the position according to the query command through a position index algorithm and a PageRank algorithm. The application adopts the position index algorithm and the PageRank algorithm, greatly improves the accuracy of the search result, can help operators to quickly and accurately finish the quick positioning of the electrical load, and realizes the quick visual global display and local display functions of the electrical system in the digital space.
Drawings
In order to more intuitively illustrate the prior art and the application, several exemplary drawings are presented below. It should be understood that the specific shape and configuration shown in the drawings are not generally considered limiting conditions in carrying out the application; for example, those skilled in the art will be able to make routine adjustments or further optimizations for the addition/subtraction/attribution division, specific shapes, positional relationships, connection modes, dimensional proportion relationships, and the like of certain units (components) based on the technical concepts and the exemplary drawings disclosed in the present application.
FIG. 1 is a flowchart of an electrical load navigation method according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of an electrical load navigation system according to a second embodiment of the present application.
Reference numerals illustrate:
1. a power plant SIS system module; 2. an electrical system diagram information digitizing module; 21. existing text format units; 22. PDF converting picture unit; 23. a knowledge graph establishing unit; 3. an electrical system display module; 31. an electrical system display unit; 32. a load path visualizing unit; 4. an artificial intelligent search algorithm optimization module; 41. a position index algorithm unit; 42. a PageRank algorithm unit; 5. and the mobile terminal APP application module.
Detailed Description
The application will be further described in detail by means of specific embodiments with reference to the accompanying drawings.
In the description of the present application: unless otherwise indicated, the meaning of "a plurality" is two or more. The terms "first," "second," "third," and the like in this disclosure are intended to distinguish between the referenced objects without a special meaning in terms of technical connotation (e.g., should not be construed as emphasis on the degree of importance or order, etc.). The expressions "comprising", "including", "having", etc. also mean "not limited to" (certain units, components, materials, steps, etc.).
The terms such as "upper", "lower", "left", "right", "middle", etc. are generally used herein for convenience of visual understanding with reference to the drawings and are not to be construed as absolute limitations on the positional relationship of the actual product. Such changes in the relative positional relationship without departing from the technical idea of the present application are also considered as the scope of the present application.
Example 1
Referring to fig. 1, the present embodiment provides an electrical load navigation method, which includes:
s1: acquiring an electrical system diagram;
specifically, the electrical system diagram is obtained from a power plant SIS system, and the electrical system diagram obtained from the power plant SIS system includes existing text formats and PDF files.
S2: converting the electrical system diagram into a picture file;
specifically, the existing text format and PDF file of the electrical system diagram are automatically converted into a picture file format in the step.
S3: establishing an electrical load knowledge graph according to the picture file;
the method comprises the steps of extracting attribute relations of specific equipment from unstructured data such as picture files of an electrical system diagram, and constructing an electrical load knowledge graph through knowledge extraction, knowledge fusion, knowledge storage, knowledge reasoning and the like.
Knowledge extraction: the method comprises three parts of entity extraction, relation extraction and attribute extraction, wherein all data in a data source are processed into a knowledge triplet, and a foundation is laid for the comprehensive utilization of later-stage data and the final formation of structured knowledge; the entity refers to nodes and relations, each entity has more than or equal to zero attribute, and each relation has only one type and is used for connecting two nodes; the relationship type is a type for marking a relationship, and a plurality of relationships may have the same relationship type; the attribute is a key value pair, and each entity can have a plurality of attributes;
knowledge fusion: the method comprises two parts of entity disambiguation and reference elimination, wherein the purpose is to combine entities of the same concept and integrate knowledge of different sources into a knowledge base;
and (3) knowledge storage: the Neoj4 database is used for storing knowledge, and the Neoj4 database is a database for describing the relationship between data by the relationship of the graph, and has the advantages of strong expandability, high data processing efficiency, capability of supporting concurrent operation of a multi-core processor and the like;
knowledge reasoning: new relationships between entities can be derived through knowledge reasoning and fed back in rich knowledge graphs, errors can be identified and new conclusions can be deduced from the existing data.
Because the knowledge is easier to express, and the graph is a very natural form for describing the relation of things, and is closer to the memory mode of the human brain on objective things, the attribute graph expression mode of the knowledge graph can be more suitable for the dynamic change of data in the knowledge graph, and the knowledge graph has more advantages in the aspect of expressing the association relation.
S4: the electrical load knowledge graph is sent to a display interface for display;
specifically, the step realizes global and local display of the electrical system in the digital space through the judgment of computer program logic, and visualizes the hierarchical logic of the load path.
S5: receiving a query command input by an operator from a display interface;
s6: and jumping to the position of the electrical load through a position index algorithm and a PageRank algorithm according to the query command.
The step realizes that an operator can rapidly and accurately complete the positioning of the electric load through a position index algorithm and a PageRank algorithm.
The position index algorithm directly obtains the position information of the matched string, so that the matching string can be directly and accurately matched according to the position information when matched, and the matching efficiency is improved.
The position index algorithm comprises a matched string initialization process and a matched string matching process, wherein the matched string initialization process is a process of encoding a plurality of matched strings and establishing a mapping table according to position information; the character strings are not moved in the matching process of the matching strings, and the matching strings can be directly and accurately matched according to the position information when being matched, so that the matching efficiency can be greatly improved.
The existing PageRank algorithm is:
where PR (u) represents the level of web page u, d represents the probability that the user will reach a page at random, Σ () is the sum function, and B (u) represents the chaining-inSet of web pages u, PR (v) represents the web page level of web page v, N v Representing the degree of departure of the web page v, e represents belonging to the operator.
However, the existing PageRank algorithm can not be calculated because the webpage is zero, so that the existing PageRank algorithm is improved in the step.
The improved PageRank algorithm can divide the importance of the page according to a certain weight ratio and transmit the importance to the searched web page, so as to determine the PageRank value of the searched page, for example, if a surfer browses a plurality of steps along with a link, then turns to a random starting web page and browses the link again, then the value of the web page is determined by the frequency of the random surfer accessing the web page.
The improved PageRank algorithm has the following formula:
wherein PR is PR 1 (u) represents the page level of the page u, d represents the probability that the user will reach a page at random, Σ () is a sum function, B (u) represents the set of linked-in pages u, α represents the weight ratio of the linked-in weight factors, V u Representing the link access click volume of web page V to web page u,represents the in-chain weight factor, beta represents the weight ratio of the chain weight factor, +.>Representing the chain weight factor, PR 1 (v) Representing the page level of the page v, TL (v) represents the access click-through amount of all links related to the page, st is a constraint, similar to the constraint.
The method solves the problem that the webpage cannot be calculated due to zero in the existing PageRank algorithm through the improved PageRank algorithm, greatly improves the accuracy of search results, and helps operators to quickly and accurately finish quick positioning of electric loads.
Example two
Referring to fig. 2, the embodiment provides an electrical load navigation system, which includes a power plant SIS system module 1, an electrical system diagram information digitizing module 2, an electrical system displaying module 3, an artificial intelligent search algorithm optimizing module 4 and a mobile terminal APP application module 5, wherein the power plant SIS system module 1, the electrical system diagram information digitizing module 2, the electrical system displaying module 3, the artificial intelligent search algorithm optimizing module 4 and the mobile terminal APP application module 5 are sequentially connected.
The power plant SIS system module 1 is used for acquiring an electrical system diagram, and provides data support for the electrical system diagram information digitizing module 2.
The electrical system diagram information digitizing module 2 is used for converting an electrical system diagram into a picture file, and establishing an electrical load knowledge graph according to the picture file, so that the electrical system can be quickly visualized in a digital space.
Specifically, the electrical system diagram information digitizing module 2 includes an existing text format unit 21, a PDF conversion picture unit 22, and a knowledge map building unit 23, where the existing text format unit 21 is used to convert an existing text format of the electrical system diagram into a picture file; the PDF conversion picture unit 22 is used for converting a PDF file of the electrical system diagram into a picture file; the knowledge graph establishing unit 23 is used for establishing an electrical load knowledge graph according to the picture file.
The electric system display module 3 is used for sending the electric load knowledge graph to the display interface for display, and the module realizes global and local display of the electric system in the digital space through the judgment of the computer program logic, and visualizes the load path hierarchical logic.
Specifically, the electrical system display module 3 includes an electrical system display unit 31 and a load path visualization unit 32, where the electrical system display unit 31 is configured to display an electrical system according to an electrical load knowledge graph; the load path visualization unit 32 is configured to display the load path according to the electrical load knowledge graph.
The artificial intelligent search algorithm optimization module 4 is used for receiving a query command input by an operator from a display interface, and jumping to the position of the electrical load through a position index algorithm and a PageRank algorithm according to the query command, so that the operator can be helped to quickly and accurately complete positioning of the electrical load.
Specifically, the artificial intelligent search algorithm optimization module 4 includes a location index algorithm unit 41 and a PageRank algorithm unit 42, where the location index algorithm unit 41 is configured to directly obtain location information of a matched string according to a query command, and perform matching according to the location information when matching strings; the PageRank algorithm unit 42 is configured to score the importance of the page according to the weight ratio and transmit the importance to the search page, so as to obtain the PageRank value of the search page.
The mobile terminal APP application module 5 is used for notifying relevant personnel of operation forecast accurately in a mode of short message micro-messaging and the like, and meanwhile helping operators to quickly and accurately complete preparation works such as load searching, operation verification and the like, and helping managers to quickly become familiar with on-site operation information.
When the system is actually used, a user enters the home page after logging successfully, a global diagram of the electrical system is displayed, and the hierarchical structure of the electrical system is displayed in the form of a tree diagram. The user may zoom through a scroll wheel or right toolbar. The portion of the home presentation may be configured in an electrical system configuration whether to be presented. The user may jump to a different page in the upper left corner click menu.
The user can search and inquire the load in the load inquiry page of the electric load navigation system in a fuzzy manner through five fields of name, load segment, KKS code, position and category. Clicking on the list load segment name may view the electrical wiring diagram and related data.
The user can click the configuration of the electrical system to enter the corresponding configuration page on the electrical load section configuration page of the electrical load navigation system, and the load section can be added, edited, displayed or not, wiring diagram importing and data importing can be performed.
For specific limitations on the electrical load navigation system, reference may be made to the above limitations on the electrical load navigation method, and no further description is given here.
In summary, the application has the following advantages:
(1) Developing a mobile phone side and a tablet side APP (application) while developing a computer side system, helping an operator to quickly and accurately complete load searching and positioning, perform operation information prompting and the like, helping a manager to quickly familiarize with on-site operation information, realizing organic integration of information, and improving safety and timeliness of electric switching operation;
(2) The position index algorithm and the improved PageRank algorithm are fused, so that the phenomenon that the PageRank algorithm cannot be calculated due to zero webpage is solved, the accuracy of search results is greatly improved, operators are helped to quickly and accurately complete quick positioning of electric loads, and the quick visual overall display and local display functions of an electric system in a digital space are realized.
Any combination of the technical features of the above embodiments may be performed (as long as there is no contradiction between the combination of the technical features), and for brevity of description, all of the possible combinations of the technical features of the above embodiments are not described; these examples, which are not explicitly written, should also be considered as being within the scope of the present description.
The application has been described above with particularity and detail in connection with general description and specific embodiments. It should be understood that numerous conventional modifications and further innovations may be made to these specific embodiments, based on the technical concepts of the present application; but these conventional modifications and further innovations may also fall within the scope of the claims of the present application as long as they do not depart from the technical spirit of the present application.

Claims (10)

1. An electrical load navigation method, comprising:
step 1: acquiring an electrical system diagram;
step 2: converting the electrical system diagram into a picture file;
step 3: establishing an electrical load knowledge graph according to the picture file;
step 4: the electrical load knowledge graph is sent to a display interface for display;
step 5: receiving a query command input by an operator from a display interface;
step 6: and jumping to the position of the electrical load through a position index algorithm and a PageRank algorithm according to the query command.
2. The electrical load navigation method of claim 1, wherein in step 1, the electrical system map is obtained from a power plant SIS system.
3. The electrical load navigation method according to claim 1, wherein in the step 4, the electrical load knowledge graph is sent to a display interface for display, and the electrical system display and the load path visualization display are included.
4. The electrical load navigation method according to claim 1, wherein in the step 6, the position indexing algorithm directly obtains the position information of the matched string according to the query command, and performs matching according to the position information when the matched string is matched.
5. The electrical load navigation method according to claim 1, wherein in the step 6, the PageRank algorithm divides the importance of the page according to the weight ratio and transmits the divided importance to the search web page to obtain the PageRank value of the search page.
6. The electrical load navigation method of claim 5, wherein the PageRank algorithm has a calculation formula:
wherein PR is PR 1 (u) represents the page level of the page u, d represents the probability that the user will reach a page at random, Σ () is a sum function, B (u) represents the set of linked-in pages u, α represents the weight ratio of the linked-in weight factors, V u Representing the link access click volume of web page V to web page u,represents the in-chain weight factor, beta represents the weight ratio of the chain weight factor, +.>Representing the chain weight factor, PR 1 (v) Representing the page level of page v, TL (v) represents the access click-through amount of all links associated with the page.
7. An electrical load navigation system, comprising:
the power plant SIS system module is used for acquiring an electrical system diagram;
the electrical system diagram information digitizing module is used for converting the electrical system diagram into a picture file and establishing an electrical load knowledge graph according to the picture file;
the electrical system display module is used for sending the electrical load knowledge graph to a display interface for display;
and the artificial intelligent search algorithm optimization module is used for receiving a query command input by an operator from a display interface and jumping to the position where the electrical load is located through a position index algorithm and a PageRank algorithm according to the query command.
8. The electrical load navigation system of claim 7, wherein the electrical system diagram information digitizing module comprises:
the existing text format unit is used for converting the existing text format of the electrical system diagram into a picture file;
the PDF conversion picture unit is used for converting a PDF file of the electrical system picture into a picture file;
and the knowledge graph establishing unit is used for establishing an electrical load knowledge graph according to the picture file.
9. The electrical load navigation system of claim 7, wherein the electrical system display module comprises:
the electrical system display unit is used for displaying the electrical system according to the electrical load knowledge graph;
and the load path visualization unit is used for displaying the load path according to the electrical load knowledge graph.
10. The electrical load navigation system of claim 7, wherein the artificial intelligence search algorithm optimization module comprises:
the position index algorithm unit is used for directly acquiring the position information of the matched string according to the query command, and matching according to the position information when the matched string is matched;
and the PageRank algorithm unit is used for dividing the importance degree of the page surface according to the weight ratio and transmitting the importance degree to the search webpage to obtain the PageRank value of the search webpage.
CN202310767470.XA 2023-06-27 2023-06-27 Electrical load navigation method and system Pending CN116955448A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310767470.XA CN116955448A (en) 2023-06-27 2023-06-27 Electrical load navigation method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310767470.XA CN116955448A (en) 2023-06-27 2023-06-27 Electrical load navigation method and system

Publications (1)

Publication Number Publication Date
CN116955448A true CN116955448A (en) 2023-10-27

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