CN112069400A - Whole-network searching method based on regional power grid information - Google Patents
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Abstract
The invention discloses a whole network searching method based on regional power grid information, which comprises the steps of forming an inverted index interface through data extraction, data management and control and index generation; establishing an index file for the structured data and the unstructured data by using the inverted index interface; and performing semantic word segmentation analysis on the search words based on the electric power word bank, and finishing the query on the index file by combining multithreading. By constructing the inverted index, the invention can comprehensively, accurately, quickly and safely retrieve and position massive scheduling operation and management data and help a user to acquire more comprehensive and deeper information of a retrieval target.
Description
Technical Field
The invention relates to the technical field of information search, in particular to a whole network search method based on regional power grid information.
Background
In the power industry, with the construction and use of smart grid dispatch control systems, a large amount of operational and management data has been accumulated. The data is only collected and stored, simple data statistics and query are carried out, and deep mining is not carried out on the data, so that more valuable information which is beneficial to daily work and operation management is formed. On one hand, useful information needs to be quickly retrieved from mass data, and the working efficiency is improved; on the other hand, the association relationship among the data needs to be mined, and the analysis of the data after the data is carried out is promoted to be pre-judgment based on the data. Through the two means, the data can be fully utilized to discover the value contained in the data. In order to support the dispatching operation service, a comprehensive intelligent alarm, a cooperation platform, an OMS, an OA, a maintenance system, a local server, an early meeting report, a BBS and other service systems are established based on the first area, the second area and the third area, and a large amount of operation and management data are accumulated.
Along with the construction of the intelligent power grid dispatching system, a large amount of data needs to be collected, generated and exchanged in production and operation of the regulation and control center, the traditional data processing mode is low in efficiency and lack of overall planning, and great difficulty exists in rapid acquisition and deep excavation of the data.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The present invention has been made in view of the above-mentioned conventional problems.
Therefore, the invention provides a whole network searching method based on regional power grid information, which can realize rapid and unified query of the power grid information by constructing an inverted index and applying multithreading, and solves the problems of low efficiency and lack of overall planning in data processing.
In order to solve the technical problems, the invention provides the following technical scheme: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
forming an inverted index interface through data extraction, data management and control and index generation; establishing an index file for the structured data and the unstructured data by using the inverted index interface; and performing semantic word segmentation analysis on the search words based on the electric power word bank, and finishing the query on the index file by combining multithreading.
As a preferred scheme of the regional power grid information-based whole-network searching method of the present invention, wherein: the data extraction includes preliminary filtering and extraction of different grid services.
As a preferred scheme of the regional power grid information-based whole-network searching method of the present invention, wherein: the data management and control comprises the step of generating management and control data specially aiming at different power grid services based on the management authority of the power grid regulation and control services and in combination with the circulation forms of the different power grid services.
As a preferred scheme of the regional power grid information-based whole-network searching method of the present invention, wherein: and the index generation comprises associating the basic metadata with the management and control data and storing the data into an inverted index list.
As a preferred scheme of the regional power grid information-based whole-network searching method of the present invention, wherein: the structured data includes ledger information: modeling records of equipment classes in the electric utility property; the flow conditions are as follows: a traffic state in a traffic flow; electric network scale: the total load of the power grid and the data accessed into the transformer substation.
As a preferred scheme of the regional power grid information-based whole-network searching method of the present invention, wherein: the semantic word segmentation analysis comprises information extraction, topological relation construction and associated data analysis; defining an ontology model, and analyzing the associated data of the ontology model; and determining the topological hierarchical relationship between the ontology model and the associated data to form a set of complete regulation and control operation domain ontology knowledge base.
As a preferred scheme of the regional power grid information-based whole-network searching method of the present invention, wherein: the information extraction, the topological relation construction and the associated data analysis comprise the following steps: performing relation extraction and attribute extraction in structured data and unstructured data based on semantic and CIM standards; and (3) constructing a topological relation: establishing a hierarchical relationship between data based on the semantics of the CIM and the extracted data, and establishing a topological relationship according to the hierarchical relationship between the data; and (3) analyzing the associated data: and automatically associating and displaying the multi-aspect data of the target to be queried.
As a preferred scheme of the regional power grid information-based whole-network searching method of the present invention, wherein: the ontology model comprises a scheduling automation system model: the dispatching automation system model is responsible for ensuring the stable operation of a high-voltage part in the power system; a distribution network system model: the distribution network system model is responsible for ensuring the stable operation of electricity consumption of residents of thousands of households; a measurement data model: the metering data model is responsible for collecting the gateway electricity quantity and counting the electricity consumption of a user unit; and a GIS data model: the GIS data model is mainly used for displaying the deployment condition and the installation position of various devices on the feeder line.
As a preferred scheme of the regional power grid information-based whole-network searching method of the present invention, wherein: and performing staged semantic decomposition and model judgment on the natural language and power professional lexicon, the ontology knowledge base and the semantic knowledge base, organizing data according to the determined semantic relation, and finishing intelligent retrieval and information display.
As a preferred scheme of the regional power grid information-based whole-network searching method of the present invention, wherein: multithreading includes, define Thread class, implement Runnable interface; covering a thread body run in the interface, and defining a thread task code into the thread body run; creating a Thread-like object; passing the subclass object of the Runnable interface as a parameter to the constructor of the Thread class; and calling the start method of the Thread class to start the Thread.
The invention has the beneficial effects that: the invention can comprehensively, accurately, quickly and safely retrieve and position massive scheduling operation and management data and help a user to acquire more comprehensive and deeper information of a retrieval target.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise. Wherein:
fig. 1 is a schematic flowchart of a method for searching a whole grid based on regional power grid information according to a first embodiment of the present invention;
fig. 2 is a schematic search flow diagram of a full-network search method based on regional power grid information according to a first embodiment of the present invention;
fig. 3 is a schematic flowchart illustrating semantic analysis, a sorting algorithm and authority filtering of a regional power grid information-based full-grid search method according to a first embodiment of the present invention;
fig. 4 is a schematic diagram of an overview of a power grid of a method for searching a whole power grid based on regional power grid information according to a second embodiment of the present invention;
fig. 5 is a schematic flowchart of a method for searching a whole grid based on regional power grid information according to a second embodiment of the present invention;
fig. 6 is a schematic view of an equipment ledger of a method for searching a whole network based on regional power grid information according to a second embodiment of the present invention;
fig. 7 is a schematic document search diagram of a regional power grid information-based full-network search method according to a second embodiment of the present invention;
fig. 8 is a schematic view of operation information of a whole network searching method based on regional power grid information according to a second embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, specific embodiments accompanied with figures are described in detail below, and it is apparent that the described embodiments are a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making creative efforts based on the embodiments of the present invention, shall fall within the protection scope of the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Furthermore, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
The present invention will be described in detail with reference to the drawings, wherein the cross-sectional views illustrating the structure of the device are not enlarged partially in general scale for convenience of illustration, and the drawings are only exemplary and should not be construed as limiting the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in the actual fabrication.
Meanwhile, in the description of the present invention, it should be noted that the terms "upper, lower, inner and outer" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation and operate, and thus, cannot be construed as limiting the present invention. Furthermore, the terms first, second, or third are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The terms "mounted, connected and connected" in the present invention are to be understood broadly, unless otherwise explicitly specified or limited, for example: can be fixedly connected, detachably connected or integrally connected; they may be mechanically, electrically, or directly connected, or indirectly connected through intervening media, or may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Example 1
Referring to fig. 1 to 3, a first embodiment of the present invention provides a method for searching a whole network based on regional power grid information, including:
s1: and forming an inverted index interface through data extraction, data management and control and index generation.
(1) Data extraction: and according to different power grid services, the functions of preliminary filtering and extraction aiming at different services are realized. The data source is guaranteed to be useful and reliable;
(2) data management and control: based on the management authority of the power grid regulation and control service, and in combination with the circulation forms of different power grid services, the management and control data specially aiming at different power grid services are generated, and each service is ensured to have independent authority management data;
(3) index generation: and associating the basic metadata with the control data, and storing the data into an inverted index list.
On the basis of the crawler inverted index, data extraction, data management and control and index generation are performed on the data of the equipment ledger, the flow conditions, the operation information and the document data, and the inverted index with a uniform storage form is formed, so that the retrieval function of single data is preliminarily realized.
S2: and creating an index file for the structured data and the unstructured data by utilizing an inverted index interface.
The structured data includes:
(1) standing book information: a modeling record of a device class in a utility property, such as a switchgear, is recorded for one of the pieces of ledger information.
(2) The flow conditions are as follows: the business state in the business flow, such as the financial reimbursement business, is currently in a leader's approval state.
(3) Electric network scale: some overall data of the grid, such as the total load of the grid, data of the access substation.
Unstructured data includes:
(1) portal data, news web page: title, summary, and content of the web page.
(2) Uploading the attachment: and the word document and the excel document are submitted to the system by the user.
S3: and performing semantic word segmentation analysis on the search words based on the electric power word bank, and finishing the query on the index file by combining multithreading.
The semantic word segmentation analysis comprises the following steps:
(1) information extraction, topological relation construction and associated data analysis.
Information extraction: performing relation extraction and attribute extraction in structured data and unstructured data based on semantic and CIM standards;
and (3) constructing a topological relation: based on the semantics of CIM and extracted data, the hierarchical relationship between the data is established, and the topological relationship is established according to the hierarchical relationship between the data, so that the search is not limited to a certain interval and can be extended to a plurality of intervals and a plurality of levels related to the interval. For example, if the lower level equipment is powered off due to tripping of the upper level equipment, the power failure condition of the lower level equipment is automatically correlated.
And (3) analyzing the associated data: the related data analysis is one of main means for realizing the whole network search, in the aspect of function realization, a certain interval for searching a certain time interval is set, and the program can automatically display the time interval, remote signaling, remote measurement, main parameters, existing defects and other conditions related to the interval.
(2) Defining an ontology model and analyzing the associated data of the ontology model.
It should be noted that the ontology model includes the following four models:
1) scheduling automation system model: the dispatching automation system model is responsible for ensuring the stable operation of a high-voltage part in the power system.
2) A distribution network system model: the distribution network system model is responsible for ensuring stable operation of electricity consumption of residents of thousands of households.
3) A metrology data model: the method comprises distribution transformation and data acquisition, wherein a metering data model is responsible for acquiring gateway electricity quantity and counting electricity consumption of a user unit.
4) A GIS data model: the GIS data model is mainly used for displaying the deployment condition and the installation position of various devices on a feeder line.
(3) And determining the topological hierarchical relation between the ontology model and the associated data to form a set of complete regulation and control operation domain ontology knowledge base.
An ontology is a conceptualized scope that can be shared, describing the structure and internal relationships of knowledge in a given domain.
Specifically, an ontology object, such as a thermal power plant, is determined, association ranges and topological relations between a central ontology and other auxiliary ontologies (such as electric quantity of the power plant and output of the power plant) are determined by taking the ontology object as a center, an ontology model with the central ontology as a core and other related ontologies as branches and leaves is gradually formed, and finally related bottom layer attribute data (coal consumption and electric quantity in the same day) are extracted to form a set of complete regulation and control domain ontology knowledge base. Thus, other ontologies and attributes with relationships can be found through one ontology, and iterative queries are supported.
Further, the natural language and power professional lexicon, the ontology knowledge base and the semantic knowledge base are subjected to staged semantic decomposition and model judgment, data are organized according to the determined semantic relationship, and intelligent retrieval and information display are completed, as shown in fig. 2:
(1) searching the generated energy of the Qin-Qing-hot # 6 unit, and obtaining the Qin-Qing-hot, the #6 unit and the generated energy through word segmentation and virtual word filtering of the electric power word bank;
(2) determining that 'Qin thermal power plant' is an ontology and 'No. 6 unit' and 'generating capacity' are attribute values through semantic word segmentation of an ontology knowledge base;
(3) and then, judging the real semantics according to a semantic knowledge base: the 'generating capacity' of the 'Qin fever' power plant '# 6 unit'.
Preferably, the index is quickly queried by using multiple threads, and the steps of starting the multiple threads are as follows:
(1) the Thread class is defined, a Runable interface is realized, and the single inheritance limitation of inheriting the Thread class is avoided.
(2) Covering a thread body run in the interface, and defining a thread task code into the thread body run;
(3) creating a Thread-like object;
(4) transferring the subclass object of the Runable interface as a parameter to a constructor of the Thread class;
(5) and calling a start method of the Thread class to start the Thread.
It should be noted that when creating a thread by implementing a Runnable interface, starting the thread causes the unique thread body run in the Runnable interface to be called in that independently executing thread. The start method may cause the thread to begin execution and may cause a thread body run to be called.
Then, the multithreading is accessed into the index file, and the fast and unified query of the power grid information is realized by combining semantic analysis, a sorting algorithm and authority filtering, and the process is shown in fig. 3.
Specifically, the sorting algorithm mainly sorts the loads according to the sizes of the loads, the maximum and minimum values of the loads of each interval, each transformer substation and the whole power grid can be automatically calculated and searched, and the time interval can be day, week, month and year, so that the workload of manual searching one by one is reduced; the authority filtering is to set the inquiry authority of different personnel according to the jurisdiction range of the equipment, only provide inquiry for the jurisdiction personnel corresponding to the equipment, and other personnel have no authority.
Preferably, in the embodiment, by constructing the inverted index, unified query of the power grid information is realized, the inverted index is combined with multiple threads, the speed of index query is increased, and meanwhile, the security of the power grid data is ensured by design authority filtering.
Example 2
In order to verify and explain the technical effect adopted in the method, the embodiment selects a regional power grid EMS system and adopts the method for comparison, and compares the test results by means of scientific demonstration to verify the real effect of the method.
At present, a regional power grid EMS system has real-time and historical query functions, but is based on one point or one small surface, and if a controller wants to know the comprehensive conditions of accidents and events, the controller needs to open a plurality of pages for query, which wastes time and labor; on the other hand, the daily report, the monthly report and the annual report which need to be completed by the regulator are large in data, so that a large amount of time is needed each time.
On the basis of the traditional internet based on crawler inverted indexes, the method combines the requirements of power grid regulation and control service on different data security authorities, data classification and the like, and performs three steps of data extraction, data management and control and index generation on dimensional data such as equipment ledgers, process conditions, operation information, document data and the like in a targeted manner, so that inverted indexes with different data structures, various organization modes and unified storage modes are formed, and comprehensive, accurate, rapid and safe retrieval and positioning of massive scheduling operation and management data are realized.
Corresponding power grid general view, flow searching, equipment ledger, document searching and operation information can be uniformly obtained by inputting a search keyword 'Qin Huo'.
Wherein the grid profile includes information on the scale of power generation (thermal power, wind power, photovoltaic power plants, and hydroelectric power), the scale of power transmission, and the scale of power transformation, as shown in fig. 4. The flow search includes a flow of detection and processing of the corresponding device, as shown in fig. 5. The equipment ledger including the type of power plant to which the corresponding equipment belongs, the type of scheduling entity or equipment to which the corresponding equipment belongs is shown in fig. 6. The document search includes related document materials about the keyword "Qin and Hot" as shown in FIG. 7. The operation information includes log operation information and power generation information of the relevant equipment, as shown in fig. 8.
By combining multiple threads, the inquiry speed of the power grid information is greatly improved, as shown in the table I.
Table one: the power grid EMS system and the method are used for inquiring the time comparison table required by the power grid information.
In the table, the real-time information query and the historical information query are query functions of the traditional power grid EMS, and the minimum time consumption is 7s, and the maximum time consumption is 27 s;
the power grid overview, the process search, the document search, the operation information and the equipment ledger are the query functions of the invention, the lowest time consumption is 0.2s, the highest time consumption is 2.0 s, and compared with the traditional power grid EMS, the query time is greatly reduced.
Preferably, the method avoids the great energy waste of regulators to search the power grid contents one by constructing the inverted index and combining multiple threads, and improves the working efficiency of the regulators by shortening the query time.
It should be noted that the above-mentioned embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, which should be covered by the claims of the present invention.
Claims (10)
1. A whole network searching method based on regional power grid information is characterized in that: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
forming an inverted index interface through data extraction, data management and control and index generation;
establishing an index file for the structured data and the unstructured data by using the inverted index interface;
and performing semantic word segmentation analysis on the search words based on the electric power word bank, and finishing the query on the index file by combining multithreading.
2. The local power grid information-based whole network searching method according to claim 1, wherein: the data extraction includes the steps of extracting the data,
and preliminarily filtering and extracting different power grid services.
3. The local power grid information-based whole network searching method according to claim 1 or 2, wherein: the data management and control comprises the following steps,
and generating special control data for the different power grid services based on the management authority of the power grid control services and in combination with the circulation forms of the different power grid services.
4. The local power grid information-based whole network searching method according to claim 3, wherein: the index generation includes the steps of generating an index,
and associating basic metadata with the control data, and storing the data into an inverted index list.
5. The local power grid information-based whole network searching method according to claim 4, wherein: the structured data may comprise, for example,
standing book information: modeling records of equipment classes in the electric utility property;
the flow conditions are as follows: a traffic state in a traffic flow;
electric network scale: the total load of the power grid and the data accessed into the transformer substation.
6. The local power grid information-based whole network searching method according to claim 5, wherein: the semantic participle analysis includes,
information extraction, topological relation construction and associated data analysis;
defining an ontology model, and analyzing the associated data of the ontology model;
and determining the topological hierarchical relationship between the ontology model and the associated data to form a set of complete regulation and control operation domain ontology knowledge base.
7. The local power grid information-based whole network searching method according to claim 6, wherein: the information extraction, the topological relation construction and the associated data analysis comprise,
information extraction: performing relation extraction and attribute extraction in structured data and unstructured data based on semantic and CIM standards;
and (3) constructing a topological relation: establishing a hierarchical relationship between data based on the semantics of the CIM and the extracted data, and establishing a topological relationship according to the hierarchical relationship between the data;
and (3) analyzing the associated data: and automatically associating and displaying the multi-aspect data of the target to be queried.
8. The local power grid information-based whole network searching method according to claim 6 or 7, wherein: the ontology model comprises a plurality of models,
scheduling automation system model: the dispatching automation system model is responsible for ensuring the stable operation of a high-voltage part in the power system;
a distribution network system model: the distribution network system model is responsible for ensuring the stable operation of electricity consumption of residents of thousands of households;
a measurement data model: the metering data model is responsible for collecting the gateway electricity quantity and counting the electricity consumption of a user unit;
and a GIS data model: the GIS data model is mainly used for displaying the deployment condition and the installation position of various devices on the feeder line.
9. The local power grid information-based whole network searching method according to claim 8, wherein: also comprises the following steps of (1) preparing,
and performing staged semantic decomposition and model judgment on the natural language and power professional lexicon, the ontology knowledge base and the semantic knowledge base, organizing data according to the determined semantic relation, and finishing intelligent retrieval and information display.
10. The local power grid information-based whole network searching method according to claim 9, wherein: the multi-threading includes the steps of,
defining a Thread class and realizing a Runable interface;
covering a thread body run in the interface, and defining a thread task code into the thread body run;
creating a Thread-like object;
passing the subclass object of the Runnable interface as a parameter to the constructor of the Thread class;
and calling the start method of the Thread class to start the Thread.
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| CN110704577A (en) * | 2019-10-10 | 2020-01-17 | 国家电网公司华中分部 | Method and system for searching power grid scheduling data |
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| CN115495545A (en) * | 2022-11-16 | 2022-12-20 | 华南理工大学 | Power grid operation panoramic model retrieval method, electronic device and storage medium |
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