CN111524027B - Electric power information statistical method, device, equipment and storage medium - Google Patents
Electric power information statistical method, device, equipment and storage medium Download PDFInfo
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
One or more embodiments of the present disclosure provide a method, apparatus, device, and storage medium for power information statistics, where the method includes creating a source network load device archive; the source network load equipment archive comprises a plurality of pieces of electrical equipment and associated information of the plurality of pieces of electrical equipment; associating the source network charge equipment archive with a conventional GIS power grid geographic map to obtain a characteristic GIS power grid geographic map; and determining a target statistical region, and counting the power information in the target statistical region based on the characterized GIS power grid geographic map. A source network charge equipment archive and a conventional GIS power grid geographic map are associated to establish a characteristic GIS power grid geographic map, and then power information statistics is carried out based on the characteristic GIS power grid geographic map, so that a map operation mode is formed, automatic statistics is realized, power grid topology in any target statistical area is intelligently identified, and source network charge equipment statistical analysis is dynamically carried out in real time.
Description
Technical Field
One or more embodiments of the present disclosure relate to the field of telecommunications technology, and in particular, to a method, an apparatus, a device, and a storage medium for power information statistics.
Background
At present, as an informatization support of national power grid business, a planning plan information management system can realize on-line reporting, auditing, summarizing and publishing of statistical business through an information system; the statistical business presentation mode mainly takes a report form as a main part, is developed through a basic unit data input informatization system and a step-by-step reporting and summarizing mode, has the advantages of manual data collection, large workload, report form display, single form, layer-by-layer reporting, multiple links and long processes, has human intervention phenomenon, and is difficult to ensure data authenticity.
Disclosure of Invention
In view of this, one or more embodiments of the present disclosure are directed to a method, an apparatus, a device and a storage medium for power information statistics, so as to solve the problem that the existing power information statistics requires a large amount of manual data collection.
In view of the above object, one or more embodiments of the present disclosure provide a power information statistics method, including:
establishing a source network load equipment archive; the source network load equipment archive comprises a plurality of pieces of electrical equipment and associated information of the plurality of pieces of electrical equipment;
associating the source network charge equipment archive with a conventional GIS power grid geographic map to obtain a characteristic GIS power grid geographic map;
And determining a target statistical region, and counting the power information in the target statistical region based on the characterized GIS power grid geographic map.
Optionally, the associating the source network load device archive with a conventional GIS power grid geographic map to obtain a characterized GIS power grid geographic map includes:
labeling a plurality of electrical devices in the source network charge device archive in the conventional GIS power grid geographic map to form a characteristic GIS power grid geographic map;
setting a calling instruction in the characterized GIS power grid geographic map; the calling instruction is used for responding to user operation;
establishing a first data channel between the source network load equipment archive and the characterized GIS power grid geographic map; the first data channel is used for transmitting the associated information of each electrical device in the source network load device archive to the characteristic GIS power grid geographic map and displaying the information in the characteristic GIS power grid geographic map, or providing the authority of the characteristic GIS power grid geographic map to access the source network load device archive in response to a user instruction.
Optionally, the associated information of the plurality of electrical devices includes geographical location information of the plurality of electrical devices, respectively;
Labeling a plurality of electrical devices in the source network load device archive in a conventional GIS power grid geographic map to form a characteristic GIS power grid geographic map, including:
and respectively labeling all the electrical equipment in the source network charge equipment archive in a conventional GIS power grid geographic map based on the geographic position information of the plurality of electrical equipment to form a characteristic GIS power grid geographic map.
Optionally, the method further comprises:
establishing a second data channel between the source network load equipment archive and the full-service data center; and the second data channel is used for transmitting the service data of each electrical device in the full service data center to the source network charge device archive or providing the authority of the source network charge device archive to access the full service data center.
Optionally, the determining a target statistical area and counting the power information in the target statistical area based on the characterized GIS power grid geographical map includes:
determining a target statistical region, and counting the source network load scale in the target statistical region based on the characterized GIS power grid geographic map;
determining a target statistical region, and counting the power grid operation condition in the target statistical region based on the characterized GIS power grid geographic map;
And determining a target statistical region, and counting electric quantity information in the target statistical region based on the characterized GIS power grid geographic map.
Optionally, the counting the power grid operation condition in the target counting area based on the characterized GIS power grid geographic map includes:
and counting the capacity-to-load ratio in the target counting area based on the characterized GIS power grid geographic map.
Optionally, the calculating the capacity-to-load ratio in the target statistical area based on the characterized GIS power grid geographic map includes:
determining the total capacity of each electrical device in the target statistical region based on a pre-established capacity-to-capacity ratio device capacity calculation model;
determining the highest load in the target statistical region based on a pre-established capacity-to-load ratio highest load calculation model;
and determining the capacity-to-load ratio in the target statistical region based on the total capacity of each electrical device in the target statistical region and the highest load in the target statistical region.
Based on the same object, a second aspect of one or more embodiments of the present invention provides a power information statistics apparatus, the apparatus comprising:
the source network charge equipment archive building module is used for building a source network charge equipment archive; the source network load equipment archive comprises a plurality of pieces of electrical equipment and associated information of the plurality of pieces of electrical equipment;
The association module is used for associating the source network load equipment archive with a conventional GIS power grid geographic map to obtain a characteristic GIS power grid geographic map;
and the power information statistics module is used for determining a target statistics area and counting the power information in the target statistics area based on the characterized GIS power grid geographic map.
Optionally, the association module includes:
the electrical equipment labeling unit is used for labeling a plurality of electrical equipment in the source network load equipment archive in the conventional GIS power grid geographic map respectively to form a characteristic GIS power grid geographic map;
the invoking instruction setting unit is used for setting an invoking instruction in the characterized GIS power grid geographic map; the calling instruction is used for responding to user operation;
the first data channel establishing unit is used for establishing a first data channel between the source network load equipment archive and the characterized GIS power grid geographic map; the first data channel is used for transmitting the associated information of each electrical device in the source network load device archive to the characteristic GIS power grid geographic map and displaying the information in the characteristic GIS power grid geographic map, or providing the authority of the characteristic GIS power grid geographic map to access the source network load device archive in response to a user instruction.
Optionally, the associated information of the plurality of electrical devices includes geographical location information of the plurality of electrical devices, respectively;
the electric equipment labeling unit is specifically used for:
and marking all the electric devices in the source network charge device archive in the conventional GIS power grid geographic map respectively based on the geographic position information of the plurality of electric devices to form a characteristic GIS power grid geographic map.
Optionally, the apparatus further comprises:
the second data channel establishing module is used for establishing a second data channel between the source network load equipment archive and the full-service data center; and the second data channel is used for transmitting the service data of each electrical device in the full service data center to the source network charge device archive or providing the authority of the source network charge device archive to access the full service data center.
Optionally, the power information statistics module includes:
the source network load scale statistics unit is used for determining a target statistics area and counting the source network load scale in the target statistics area based on the characterized GIS power grid geographical map;
the power grid running condition statistical unit is used for determining a target statistical region and counting the power grid running condition in the target statistical region based on the characteristic GIS power grid geographic map;
And the electric quantity information statistics unit is used for determining a target statistics area and counting electric quantity information in the target statistics area based on the characterized GIS power grid geographical map.
Optionally, the power grid operation condition statistics unit includes:
and the capacity-to-load ratio statistics subunit is used for counting the capacity-to-load ratio in the target statistics area based on the characterized GIS power grid geographic map.
Optionally, the load ratio statistics subunit is specifically configured to:
determining the total capacity of each electrical device in the target statistical region based on a pre-established capacity-to-capacity ratio device capacity calculation model;
determining the highest load in the target statistical region based on a pre-established capacity-to-load ratio highest load calculation model;
and determining the capacity-to-load ratio in the target statistical region based on the total capacity of each electrical device in the target statistical region and the highest load in the target statistical region.
For the same purpose, a third aspect of one or more embodiments of the present invention provides an electronic device, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, said processor implementing a method according to any one of the first aspects of the present invention when said program is executed.
Based on the same object, one or more embodiments of the present invention provide a fourth aspect of a non-transitory computer-readable storage medium storing computer instructions for causing the computer to perform any of the methods of the first aspect of the present invention.
As can be seen from the foregoing, the method, apparatus, device and storage medium for electric power information statistics provided in one or more embodiments of the present disclosure are implemented by constructing a source network load device archive including a plurality of electric devices and associated information thereof, then establishing a characteristic GIS power grid geographic map by using the source network load device archive and a conventional GIS power grid geographic map, and finally performing electric power information statistics in a target statistical area based on the characteristic GIS power grid geographic map; a source network charge equipment archive and a conventional GIS power grid geographic map are associated to establish a characteristic GIS power grid geographic map, then power information statistics is carried out based on the characteristic GIS power grid geographic map, a map operation mode is formed, a power information statistics function covering source network charge full-quantity equipment, penetrating through full voltage levels and crossing multi-temporal application is realized in a visual mode, automatic network statistics is realized, power grid topology in any target statistical area is intelligently identified, and source network charge equipment statistical analysis is dynamically carried out in real time.
Drawings
For a clearer description of one or more embodiments of the present description or of the solutions of the prior art, the drawings that are necessary for the description of the embodiments or of the prior art will be briefly described, it being apparent that the drawings in the description below are only one or more embodiments of the present description, from which other drawings can be obtained, without inventive effort, for a person skilled in the art.
FIG. 1 is a flow chart of a power information statistics method according to one or more embodiments of the present disclosure;
FIG. 2 is an exemplary diagram of a source network hosting archive provided in one or more embodiments of the present disclosure;
FIG. 3 is a schematic diagram of a power information statistics apparatus according to one or more embodiments of the present disclosure;
fig. 4 is a schematic diagram of a hardware structure of an electronic device according to one or more embodiments of the present disclosure.
Detailed Description
For the purposes of promoting an understanding of the principles and advantages of the disclosure, reference will now be made to the embodiments illustrated in the drawings and specific language will be used to describe the same.
It is noted that unless otherwise defined, technical or scientific terms used in one or more embodiments of the present disclosure should be taken in a general sense as understood by one of ordinary skill in the art to which the present disclosure pertains. The use of the terms "first," "second," and the like in one or more embodiments of the present description does not denote any order, quantity, or importance, but rather the terms "first," "second," and the like are used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that elements or items preceding the word are included in the element or item listed after the word and equivalents thereof, but does not exclude other elements or items.
At present, as an informatization support of national power grid business, a planning plan information management system can realize on-line reporting, auditing, summarizing and publishing of statistical business through an information system; the statistical service comprises 16 modules including equipment statistics, production statistics, investment statistics and the like, and the statistical application of each voltage class, each unit level and each statistical caliber is realized around an index system, so that the efficiency and quality of the statistical work are improved, and authoritative data support is provided for power grid planning, early stage, planning and investment work.
The present statistical service presentation mode is mainly developed by taking a report form as a main part and using a basic unit data input informatization system and a step-by-step reporting and summarizing mode, and mainly has the following defects:
1) The manual collection of data has large workload, layer-by-layer filling, multiple links and long flow, has human intervention phenomenon, and is difficult to ensure the authenticity of the data. And the statistical data are distributed and are sourced from a plurality of professions, the management links are more, and the smooth communication of each related service data is not realized yet.
2) The unified basic information and the flexible index algorithm are lacking, an efficient data processing method and a tool are not researched innovatively, and the index result with any caliber is difficult to automatically generate.
3) Graph-graph separation and graph splitting are achieved, the graph-graph interaction fusion is not achieved, spatial information of power grid equipment cannot be intuitively displayed, and weak links of the power grid cannot be clearly identified.
4) Annual operation data are stored in a unit of T, the data size is large, the server resources are occupied much, the prior art can only store data of typical days for data analysis, and transverse comparison analysis can not be carried out on data of the past year.
In order to solve the above problems, the present disclosure provides a method, an apparatus, a device and a storage medium for electric power information statistics, which are implemented by constructing a source network load device archive including a plurality of electric devices and associated information thereof, then establishing a characteristic GIS power grid geographic map by combining the source network load device archive and a conventional GIS power grid geographic map, and finally carrying out electric power information statistics in a target statistical area based on the characteristic GIS power grid geographic map. The method and the device can be applied to various electronic equipment such as mobile phones, tablet computers and the like, and are not particularly limited.
For ease of understanding, the power information statistical method will be described in detail with reference to the accompanying drawings.
Fig. 1 is a flow chart of a power information statistics method provided in the present specification, where the method includes:
S11, establishing a source network load equipment archive; the source network load equipment archive comprises a plurality of electrical equipment and associated information of the plurality of electrical equipment.
In this embodiment, the source network load device refers to all electrical devices covered by the power from production to consumption. The source refers to a power supply, and different power supplies can be thermal power, hydroelectric power, nuclear power, solar energy, tidal energy, geothermal energy and the like according to the power generation type, and the method is not particularly limited; the network refers to a power grid, and after the power is supplied to the power grid by a power plant, the power is supplied to users through facilities such as a step-up transformer, a transmission line, a step-down transformer, a distribution line, a circuit breaker, a fuse, a self-distribution switch, a distribution transformer and the like; the load, namely the load for users, can be specifically divided into active power P, reactive power Q, current I, voltage U and the like, and can be divided into low-voltage users and high-voltage large users according to the power voltage level of the users, wherein the low-voltage users comprise common low-voltage resident power consumption, common industrial and commercial power consumption and the like, and the high-voltage large users comprise industrial power consumption and the like.
FIG. 2 is an exemplary diagram of a source network load device archive provided herein; as shown in the figure 2 of the drawings,
the source network load equipment archive refers to a database comprising all electrical equipment covered by electric energy from production to consumption and related information thereof; the associated information includes, but is not limited to, equipment ledgers, maintenance records, electric quantity information, financial information, electric power information, project information, geographical position information, index data, source information of various types of data, and the like.
In practical application, the source network load equipment archive comprises a power supply archive, a power grid archive and a user archive; the source network load equipment archive can be built by integrating the source network load equipment data of a plurality of departments and a plurality of sets of informationized systems; for example, the data of the marketing business application system, the electricity collection system, the OMS/EMS system of the regulation center, the PMS system of the equipment part and the like of the power grid company can be integrated, and the method is not particularly limited.
And S12, associating the source network load equipment archive with a conventional GIS power grid geographic map to obtain a characteristic GIS power grid geographic map.
In this embodiment, the conventional GIS power grid geographic map refers to a geographic information system, which is a specific important space information system, and is a technical system for collecting, storing, managing, calculating, analyzing, displaying and describing related geographic distribution data in the whole or part of the earth surface (including the atmosphere) space.
By associating the source network charge equipment archive with a conventional GIS power grid geographic map to form a characteristic GIS power grid geographic map, a visual geographic map layer can be directly generated in the characteristic GIS power grid geographic map, and a user can directly view equipment distribution information of each area in the characteristic GIS power grid geographic map.
The method for associating the source network load device archive with the conventional GIS power grid geographic map will be described in detail later, and will not be described in detail here.
And S13, determining a target statistical region, and counting the power information in the target statistical region based on the characterized GIS power grid geographic map.
In this embodiment, after a source network load device archive is associated with a conventional GIS power grid geographic map to obtain a characteristic GIS power grid geographic map, a target statistical region may be determined, then the target statistical region is determined in the characteristic GIS power grid geographic map, and each electrical device in the target statistical region is directly clicked in the characteristic GIS power grid geographic map, so that power information of each electrical device may be obtained, and power information in the target statistical region may be obtained.
It can be understood that the method comprises the steps of establishing a characteristic GIS power grid geographic map by associating a source network charge equipment archive and a conventional GIS power grid geographic map, then carrying out electric power information statistics based on the characteristic GIS power grid geographic map, forming a pattern of 'on-map operation', realizing the electric power information statistics functions of covering source network charge full-scale equipment, penetrating through full voltage levels and crossing multi-temporal application in a visual mode, realizing 'automatic network statistics', intelligently identifying power grid topology in any target statistics area, and dynamically carrying out statistical analysis of the source network charge equipment in real time.
In practical application, in order to realize automatic statistics of electric power information on the network, a source network charge equipment archive can be associated with a conventional GIS power grid geographic map, and electric equipment and associated information thereof in the source network charge equipment archive are visually displayed in the conventional GIS power grid geographic map; then, in some possible embodiments, associating the source network load device archive with a conventional GIS power grid geographic map, resulting in a characterized GIS power grid geographic map, including:
respectively displaying a plurality of electrical devices in a source network load device archive in a conventional GIS power grid geographic map to form a characteristic GIS power grid geographic map;
setting a calling instruction in a characterized GIS power grid geographic map; the calling instruction is used for responding to the user operation;
establishing a first data channel between a source network load equipment archive and a characterized GIS power grid geographic map; the first data channel is used for transmitting the associated information of each electrical device in the source network load device archive to the characteristic GIS power grid geographic map and displaying the information in the characteristic GIS power grid geographic map, or providing the authority of the characteristic GIS power grid geographic map to access the source network load device archive in response to a user instruction.
In practical application, in order to correlate the source network load equipment archive with the conventional GIS power grid geographic map, a plurality of electrical equipment in the source network load equipment archive can be respectively marked in the conventional GIS power grid geographic map; the method comprises the steps that a plurality of electrical devices in a source network load device archive are respectively displayed in a conventional GIS power grid geographic map to form a characteristic GIS power grid geographic map. When electric power information statistics is carried out based on the characterized GIS power grid geographic map, each electric device marked in the characterized GIS power grid geographic map plays a role of a button; when a user clicks each electrical device in the characteristic GIS power grid geographic map, a visual geographic map layer is generated in the characteristic GIS power grid geographic map, and the user can directly check the power information of each electrical device in the characteristic GIS power grid geographic map.
In practical application, a calling instruction can be set in a geographic diagram of a characterized GIS power grid; when a user electrically characterizes electrical equipment in a GIS power grid geographic map, triggering a calling instruction set in the characterized GIS power grid geographic map; and when the calling instruction is triggered, the geographic map of the GIS power grid is characterized to acquire or call the data in the archive of the source network load equipment.
In practical application, a first data channel for transmitting data can be further arranged between the source network load equipment archive and the characterized GIS power grid geographic map; the first data channels can be mutually accessed through a mode of establishing a database chain between the source network load equipment archive memory and the GIS power grid geographic chart memory, and can also be mutually accessed through a mode of a Web Service interface, and the method is not particularly limited.
Under the condition, when clicking a certain electrical device in a target statistics area in a characteristic GIS power grid geographic map, a user triggers a preset calling instruction, and provides authority for the characteristic GIS power grid geographic map to access a source network load device archive through a first data channel, namely, directly calling the associated information of the electrical device in the source network load device archive through the first data channel, and forming a visual geographic map layer in the characteristic GIS power grid geographic map, wherein the user can view the associated information of the electrical device through the visual geographic map layer.
Under the condition, when clicking a certain electrical device in a target statistics area in a characteristic GIS power grid geographic map, a user triggers a preset calling instruction, the associated information of the electrical device stored in a source network load device archive is transmitted to the characteristic GIS power grid geographic map through a first data channel, a visual geographic map layer is formed in the characteristic GIS power grid geographic map, and the user can view the associated information of the electrical device through the visual geographic map layer.
It can be understood that a plurality of electrical devices in the source network charge device archive are respectively marked in the conventional GIS power grid geographic map to form a characterized GIS power grid geographic map, and a first data channel is established, so that the association between the source network charge device archive and the conventional GIS power grid geographic map is realized, and a foundation is provided for 'online automatic statistics' of power information; the size of the statistical region can be flexibly determined, the statistical region can be thinned to a smaller local region by taking the original county as the minimum unit, and important data support is provided for electric power information statistics of the local region.
In practical application, a plurality of electric devices in a source network charge device archive can be marked in a conventional GIS power grid geographic map according to various rules; then, in some possible embodiments, the association information of the plurality of electrical devices includes geographical location information of the plurality of electrical devices, respectively;
labeling a plurality of electrical devices in a source network load device archive in a conventional GIS power grid geographic map to form a characterized GIS power grid geographic map, including:
and marking each electric device in the source network load device archive in a conventional GIS power grid geographic map respectively based on geographic position information of a plurality of electric devices to form a characteristic GIS power grid geographic map.
In order to mark a plurality of electrical devices in the source network load device archive in a conventional GIS power grid geographic map, the electrical devices can be marked in the conventional GIS power grid geographic map according to geographic position information of the electrical devices, namely according to longitude and latitude of a region where the electrical devices are located, so that a characteristic GIS power grid geographic map is formed.
It can be understood that the geographic position information of the electrical equipment in the source network load equipment archive is based on that the electrical equipment is marked in the conventional GIS power grid geographic map respectively to form the characteristic GIS power grid geographic map, so that the geographic position of the electrical equipment can be accurately determined in the conventional GIS power grid geographic map, and the accuracy of the power information 'automatic online statistics' is improved.
In practical application, the electric power information of the electric equipment also comprises a large amount of data such as service conditions of the electric equipment, and the large amount of data can not be stored or is incompletely stored in the archive of the source network load equipment because of huge data and needs to be specially stored; then, in some possible embodiments, the method further comprises:
establishing a second data channel between the source network load equipment archive and the full-service data center; the second data channel is used for transmitting service data of all electric devices in the full service data center to a source network charge device archive or providing authority of the source network charge device archive to access the full service data center.
In practical application, the full-service data center may be a data storage center built in a local public shared server, or may be a data storage center built in a cloud server, which is not limited in particular.
The all-service data center mainly comprises a data processing sub-center, a data analysis sub-center and a data management sub-center; the data processing sub-center is a center for storing, processing and integrating various business data in the production, management and management process and mainly comprises a business processing database and unified data access service; the data analysis sub-center is a collection center of all-service, all-type and all-time dimension data, keeps real-time consistency with the data of the data processing sub-center, and provides complete data resources, high-efficiency analysis computing capacity and unified operation environment for various analysis decision-making applications; the data analysis sub-center is constructed based on a big data platform and mainly comprises a data warehouse, a unified storage service and a unified analysis service; the core of the data management sub-center is unified data model construction, main data construction and application, and support is provided for cross-professional and cross-system data integration and application through unified planning and management and control of data definition, storage and use.
The full-service data center is a data center for storing multi-service data such as marketing, scheduling, equipment and the like, and service system data such as PMS system data, EMS/OMS system data, marketing system data, mining system data and the like are stored in the full-service data center, and the full-service data center is not particularly limited. The full-service data center can plan service system data into two major types of structured data and unstructured data, and the structured data can be transmitted to the source network load equipment archive via a second data channel after being subjected to processing processes such as data extraction, data conversion and data conversion. Unstructured data can be extracted and converted in the mode, but most business works do not need to be transmitted due to large data magnitude, can be directly accessed through a second data channel, and can be displayed and queried in a foreground window.
The data extraction is to extract the data needed by the source network load equipment archives from the full-service data center; the data conversion is to convert the data acquired from the full-service data center into a form required by a source network charge equipment archive, and clean and process the data with errors and inconsistencies according to service requirements; and loading the data to be converted into the source network load equipment archive through a second data channel.
In practical application, the second data channel may be formed by CIM/E parser, PMS interface adapter, ETL, etc. different technologies are used to obtain different types of data, and CIM/E parser is mainly used to parse and obtain scheduling unstructured operation data; the PMS interface adapter and the ETL are mainly used for analyzing, extracting and converting the structured file data.
Under the condition, when clicking a certain electrical device in a target statistics area in a characteristic GIS power grid geographic map, a user triggers a preset calling instruction, and provides authority for the characteristic GIS power grid geographic map to access a source network load device archive through a first data channel, namely, directly calling the associated information of the electrical device in the source network load device archive through the first data channel; and providing authority of the source network charge equipment archive to access the full-service data center through the electrical equipment association information and the second data channel, namely directly accessing and checking service data of the electrical equipment in the full-service data center through the second data access and the association information of the electrical equipment, forming a visual geographic layer display in the characterized GIS power grid geographic map, and checking the service data of the electrical equipment through the visual geographic layer by a user.
In one case, when clicking a certain electrical device in the target statistics area in the characteristic GIS power grid geographic map, a user triggers a preset calling instruction, service data about the electrical device in the full service data center is transmitted to a source network load device archive through a second data channel, then the service data are transmitted to the characteristic GIS power grid geographic map through a first data channel, a visual geographic map layer display is formed in the characteristic GIS power grid geographic map, and the user can view the service data of the electrical device through the visual geographic map layer.
It can be understood that by establishing the full-service data center and setting a second data channel between the full-service data center and the source network load equipment archives, the electric power information of each electric device can be obtained more comprehensively, and the comprehensiveness of electric power information statistics is improved.
In some possible embodiments, determining a target statistical region and counting power information within the target statistical region based on the characterized GIS grid geography map comprises:
determining a target statistical region, and counting the source network load scale in the target statistical region based on the characterized GIS power grid geographic map;
determining a target statistical region, and counting the power grid operation condition in the target statistical region based on the characterized GIS power grid geographic map;
And determining a target statistical region, and counting electric quantity information in the target statistical region based on the characterized GIS power grid geographic map.
In practical application, after the characterized GIS power grid geographic map is established, after the target statistical region is determined, the electric equipment in the target statistical region in the characterized GIS power grid geographic map, namely the source network load scale, can be counted; and electrical equipment in the target statistical area can be clicked in the characterized GIS power grid geographic map, and power grid running conditions and power information in the target statistical area are counted.
Under the condition, a user can directly click or circle and select electric equipment in a target statistical region in a characterized GIS power grid geographic map, and the default user intends to obtain all electric power information in the target statistical region, namely the source network load scale, the power grid running condition and the electric quantity information in the target statistical region; transmitting all power information about the target statistical region to a characterized GIS power grid geographic map, and forming a visual geographic map layer in the characterized GIS power grid geographic map, wherein a user can view all power information of the electrical equipment through the visual geographic map layer.
In one case, the user may select the partial power information of the target statistical region to be obtained, and according to the selection of the user, the partial power information about the target statistical region is transmitted to the characterized GIS power grid geographic map, and a visualized geographic map layer is formed in the characterized GIS power grid geographic map, through which the user may view the partial power information of the electrical device.
In practical application, the power information statistics of the selected time domain can be performed on the target statistics area, namely, the power information statistics of the specific time period can be performed on the target statistics area.
And counting the source network load scale, namely carrying out scale statistics of partition, partial pressure, asset and type of the power supply, the power grid and the load equipment so as to achieve the purposes of mastering the power grid asset, analyzing the power grid capacity and mastering the power grid investment.
The source network load equipment archives also comprise association relations among the electrical equipment, wherein the association relations comprise two types of electrical connection and non-electrical connection, and the electrical connection relations are physical connection relations, such as the distribution transformer transmits electric energy to users through lines; the non-electrical connection relationship is that there is no physical connection relationship, for example, there are multiple transformers in the transformer substation, the non-electrical equipment of the transformer substation and the transformers have no direct physical relationship, but the two are the affiliated relationship. When the two types of relations are put into operation in electric facilities and equipment, maintenance personnel manually enter the equipment PMS system, and the relations are transmitted to a source network charge equipment archive for storage through a second data channel.
When the source network load scale statistics is carried out, a target statistical region can be determined in a characterized GIS power grid geographic map, the power grid topological connection relationship in the target statistical region is intelligently identified, all electric equipment files in the target statistical region are automatically matched based on the association relationship among the electric equipment included in the source network load equipment archives, and the source network load scale statistics of the selected region is realized.
The new adding, retirement and change states of the source terminal equipment can be tracked and judged in real time by carrying out source network load scale statistics on the target statistical region, so that real-time current network equipment data is obtained, and the requirement on real-time statistics of any region is met; the holographic images of main equipment of the power grid such as transformer stations, transformers, lines, circuit breakers and the like with various voltage levels of 10kV-1000kV can be comprehensively displayed. When the source network load scale statistics of the target statistics area is carried out, the source network load total data are converged on line, so that the real-time monitoring of incremental assets and the real-time visualization of power grid statistics are realized, a large amount of repeated work of manual collection is avoided, and the possibility of manual intervention is eliminated; and the graph-number-table depth fusion interaction realizes the visualization of static and dynamic space-time data of the power grid, changes the single display form of the traditional mode only through report query, and plays the high-efficiency advantage of graph fusion.
In practical application, the electric quantity information statistics is performed on the electric quantity of high-voltage large users, low-voltage resident users and the like in a partitioning, electricity price dividing and industry dividing mode, so that the purposes of providing data support for the inside and providing electric quantity release for the outside are achieved.
And when the electric quantity information is counted, the electric quantity information counting comprises two aspects of power generation information counting and power consumption information counting.
When the power generation information is counted, a target counting area can be determined in a characteristic GIS power grid geographic diagram, a power grid topological connection relation in the target counting area is intelligently identified, and based on the power grid topological connection relation, the power generation amount, the network power amount, the comprehensive plant power consumption, the spontaneous power consumption, other power amounts, a generator set, the power generation output, the utilization hour and other power generation information of each power generation type power plant in the target counting area are integrated.
When the electricity consumption information is counted, a target counting area can be determined in a characteristic GIS electricity grid geographic diagram, the electricity grid topological connection relation in the target counting area is intelligently identified, the electricity consumption information such as the high-voltage user electricity consumption, the low-voltage resident electricity consumption, the sub-industry electricity consumption, the distribution price electricity consumption and the like in the target counting area is flexibly counted through the user industry (133 industries) and the sales electricity price (7 types of electricity prices), the low-voltage user electricity consumption can be inquired, and the electric information counting work is convenient to develop.
In practical application, the power grid operation statistics is to analyze the power supply capacity (equipment capacity) and load level of the regional power grid to judge the development margin and development coordination of the power grid so as to predict the future development trend and provide important basis for power grid investment.
When the power grid operation statistics is carried out, the data required to be adopted comprise equipment-measuring point-operation data, the data of electric equipment and measuring point information are stored in a source network load equipment archive, and the operation data of the electric equipment are stored in a full-service data center; when the electric equipment in the target statistical region in the characteristic GIS electric network geographic diagram is clicked when the electric network operation statistics is carried out on the target statistical region, the electric equipment and the measuring point information in the target statistical region can be obtained from the source network load equipment archive, and the operation data of the electric equipment in the target statistical region can be obtained from the full-service data center.
In practical application, the measuring point is the position where the acquisition device is installed; the station information includes the type of measuring device, measurement accuracy, type of measurement data, etc. installed at the location. Illustrating: it is impossible to collect information of all nodes by one line, and usually, only collecting devices are installed at the first end and the last end to collect data such as electric quantity and load.
In practical application, the power grid running condition in the target statistical area can be counted by counting the capacity-to-load ratio in the target statistical area based on the characterized GIS power grid geographic map; the capacity-load ratio refers to the ratio of the total capacity of public power transformation equipment of a power grid with the same voltage level in a certain power supply area to the corresponding total load (network supply load); the calculation formula of the capacity-to-load ratio is as follows:
Voltage class ratio = voltage class device capacity in a region and/or voltage class grid maximum load in a region.
When the capacity-to-load ratio calculation in the target statistical region is carried out, determining the total capacity of each electrical device in the target statistical region based on a pre-established capacity calculation model of the capacity-to-load ratio device; determining the highest load in the target statistical region based on a pre-established capacity-to-load ratio highest load calculation model; and then determining the capacity-to-load ratio in the target statistical region based on the total capacity of each electrical device in the target statistical region and the highest load in the target statistical region.
And determining the total capacity of each electrical device in the target statistical region by adopting a pre-established capacity-to-capacity calculation model of the capacity ratio device based on the data such as the device name, the device type, the voltage level, the operation time, the maintenance record, the operation index, the property of the property and the like of the electrical device in the target statistical region. When a capacity calculation model of the capacity specific equipment is pre-established, equipment information relevant to the capacity calculation is included, specifically including equipment name, equipment type, voltage level, operation time, maintenance record, operation index, asset property and the like, and in the modeling process, factors affecting the capacity calculation need to be removed, and the method mainly comprises the following steps: (1) The step-up type transformer transfers the load to other areas, does not participate in index calculation in the local area, and needs to be removed; (2) The operation time is later than the time section of the calculated index, namely when the index of a certain time point of the history is calculated, the electrical equipment which is put into operation after the time point is required to be removed; (3) When the electrical equipment is in the maintenance stage, the electrical equipment belongs to an unoperated state, namely, if the time point selected in the calculation is in the maintenance period, the electrical equipment is removed; and after the influence factors are removed, the capacity calculation model of the capacity specific equipment comprises all equipment participating in the capacity calculation. The capacity calculation model provides filtering, screening and inputting of the capacity of the electrical equipment for the capacity calculation when the capacity calculation is carried out in the selected area.
And determining the highest load in the target statistical region by adopting a pre-established capacity-to-load ratio highest load calculation model based on the equipment information, the measuring point information, the operation data and other data of the electrical equipment in the target statistical region. When a capacity ratio highest load calculation model is pre-established, data information relevant to all capacity ratio highest load calculation is included, and the method specifically comprises the following steps: equipment information, measurement point information, operation data and the like; when carrying out capacity ratio calculation in a target statistical region, acquiring electrical equipment participating in the capacity ratio maximum load calculation through the capacity ratio maximum load calculation model, and carrying out superposition of equipment loads of different voltage grades to acquire power grid loads (power grid loads are superposed by the equipment loads) of each voltage grade, so as to obtain parameters such as the maximum loads, the maximum load moments and the like of power grids of different voltage grades in the target statistical region, thereby meeting the pre-condition of the capacity ratio calculation; the capacity ratio highest load calculation model mainly provides data input such as maximum load and maximum load occurrence time of equipment for capacity ratio calculation.
In practical application, after obtaining the electric power information of the target statistical region, an investment policy can be formulated based on the electric power information of the target statistical region.
It should be noted that the methods of one or more embodiments of the present description may be performed by a single device, such as a computer or server. The method of the embodiment can also be applied to a distributed scene, and is completed by mutually matching a plurality of devices. In the case of such a distributed scenario, one of the devices may perform only one or more steps of the methods of one or more embodiments of the present description, the devices interacting with each other to accomplish the methods.
The foregoing describes specific embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
Fig. 3 is a schematic structural diagram of an electrical information statistics apparatus provided in the present specification, where the apparatus includes:
The source network load equipment archive building module 31 is used for building a source network load equipment archive; the source network load equipment archive comprises a plurality of electrical equipment and associated information of the plurality of electrical equipment;
the association module 32 is configured to associate the source network load device archive with a conventional GIS power grid geographic map, so as to obtain a characteristic GIS power grid geographic map;
the power information statistics module 33 is configured to determine a target statistics area, and to count power information in the target statistics area based on the characterized GIS grid geographical map.
In some possible implementations, the association module 32 includes:
the electrical equipment labeling unit is used for labeling a plurality of electrical equipment in the source network load equipment archive in a conventional GIS power grid geographic map respectively to form a characteristic GIS power grid geographic map;
the invoking instruction setting unit is used for setting an invoking instruction in the characterized GIS power grid geographic map; the calling instruction is used for responding to user operation;
the first data channel establishing unit is used for establishing a first data channel between the source network load equipment archive and the characterized GIS power grid geographic map; the first data channel is used for transmitting the associated information of each electrical device in the source network load device archive to the characteristic GIS power grid geographic map and displaying the information in the characteristic GIS power grid geographic map, or providing the authority of the characteristic GIS power grid geographic map to access the source network load device archive in response to a user instruction.
In some possible embodiments, the association information of the plurality of electrical devices includes geographical location information of the plurality of electrical devices, respectively;
the electric equipment labeling unit is specifically used for:
and marking each electric device in the source network load device archive in a conventional GIS power grid geographic map respectively based on geographic position information of a plurality of electric devices to form a characteristic GIS power grid geographic map.
In some possible embodiments, the apparatus further comprises a second data channel setup module (not shown in the figure);
the second data channel establishing module is used for establishing a second data channel between the source network load equipment archive and the full-service data center; the second data channel is used for transmitting service data of all electric devices in the full service data center to a source network charge device archive or providing authority of the source network charge device archive to access the full service data center.
In some possible implementations, the power information statistics module 33 includes:
the source network load scale statistics unit is used for determining a target statistics area and counting the source network load scale in the target statistics area based on the geographic map of the characterized GIS power grid;
the power grid running condition statistical unit is used for determining a target statistical region and counting the power grid running condition in the target statistical region based on the characterized GIS power grid geographic map;
And the electric quantity information statistics unit is used for determining a target statistics area and counting electric quantity information in the target statistics area based on the characterized GIS power grid geographic map.
In some possible embodiments, the power grid operation statistics unit includes:
and the capacity-to-load ratio statistics subunit is used for counting the capacity-to-load ratio in the target statistics area based on the characterized GIS power grid geographic map.
In some possible embodiments, the capacity ratio statistics subunit is specifically configured to:
determining the total capacity of each electrical device in a target statistical area based on a pre-established capacity-to-capacity ratio device capacity calculation model;
determining the highest load in the target statistical region based on a pre-established capacity-to-load ratio highest load calculation model;
and determining the capacity-to-load ratio in the target statistical region based on the total capacity of each electrical device in the target statistical region and the highest load in the target statistical region.
For convenience of description, the above devices are described as being functionally divided into various modules, respectively. Of course, the functions of each module may be implemented in one or more pieces of software and/or hardware when implementing one or more embodiments of the present description.
The device of the foregoing embodiment is configured to implement the corresponding method in the foregoing embodiment, and has the beneficial effects of the corresponding method embodiment, which is not described herein.
The present specification also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the power information statistics method of any of the above when executing the program.
Fig. 4 shows a more specific hardware architecture of an electronic device according to this embodiment, where the device may include: a processor 1010, a memory 1020, an input/output interface 1030, a communication interface 1040, and a bus 1050. Wherein processor 1010, memory 1020, input/output interface 1030, and communication interface 1040 implement communication connections therebetween within the device via a bus 1050.
The processor 1010 may be implemented by a general-purpose CPU (Central Processing Unit ), microprocessor, application specific integrated circuit (Application Specific Integrated Circuit, ASIC), or one or more integrated circuits, etc. for executing relevant programs to implement the technical solutions provided in the embodiments of the present disclosure.
The Memory 1020 may be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory ), static storage device, dynamic storage device, or the like. Memory 1020 may store an operating system and other application programs, and when the embodiments of the present specification are implemented in software or firmware, the associated program code is stored in memory 1020 and executed by processor 1010.
The input/output interface 1030 is used to connect with an input/output module for inputting and outputting information. The input/output module may be configured as a component in a device (not shown) or may be external to the device to provide corresponding functionality. Wherein the input devices may include a keyboard, mouse, touch screen, microphone, various types of sensors, etc., and the output devices may include a display, speaker, vibrator, indicator lights, etc.
Communication interface 1040 is used to connect communication modules (not shown) to enable communication interactions of the present device with other devices. The communication module may implement communication through a wired manner (such as USB, network cable, etc.), or may implement communication through a wireless manner (such as mobile network, WIFI, bluetooth, etc.).
Bus 1050 includes a path for transferring information between components of the device (e.g., processor 1010, memory 1020, input/output interface 1030, and communication interface 1040).
It should be noted that although the above-described device only shows processor 1010, memory 1020, input/output interface 1030, communication interface 1040, and bus 1050, in an implementation, the device may include other components necessary to achieve proper operation. Furthermore, it will be understood by those skilled in the art that the above-described apparatus may include only the components necessary to implement the embodiments of the present description, and not all the components shown in the drawings.
The present specification also provides a non-transitory computer readable storage medium storing computer instructions for causing the computer to perform any of the above-described power information statistical methods.
The computer readable media of the present embodiments, including both permanent and non-permanent, removable and non-removable media, may be used to implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device.
Those of ordinary skill in the art will appreciate that: the discussion of any of the embodiments above is merely exemplary and is not intended to suggest that the scope of the disclosure, including the claims, is limited to these examples; combinations of features of the above embodiments or in different embodiments are also possible within the spirit of the present disclosure, steps may be implemented in any order, and there are many other variations of the different aspects of one or more embodiments described above which are not provided in detail for the sake of brevity.
Additionally, well-known power/ground connections to Integrated Circuit (IC) chips and other components may or may not be shown within the provided figures, in order to simplify the illustration and discussion, and so as not to obscure one or more embodiments of the present description. Furthermore, the apparatus may be shown in block diagram form in order to avoid obscuring the one or more embodiments of the present description, and also in view of the fact that specifics with respect to implementation of such block diagram apparatus are highly dependent upon the platform within which the one or more embodiments of the present description are to be implemented (i.e., such specifics should be well within purview of one skilled in the art). Where specific details (e.g., circuits) are set forth in order to describe example embodiments of the disclosure, it should be apparent to one skilled in the art that one or more embodiments of the disclosure can be practiced without, or with variation of, these specific details. Accordingly, the description is to be regarded as illustrative in nature and not as restrictive.
While the present disclosure has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of those embodiments will be apparent to those skilled in the art in light of the foregoing description. For example, other memory architectures (e.g., dynamic RAM (DRAM)) may use the embodiments discussed.
The present disclosure is intended to embrace all such alternatives, modifications and variances which fall within the broad scope of the appended claims. Any omissions, modifications, equivalents, improvements, and the like, which are within the spirit and principles of the one or more embodiments of the disclosure, are therefore intended to be included within the scope of the disclosure.
Claims (7)
1. A method of power information statistics, the method comprising:
establishing a source network load equipment archive; the source network load equipment archive comprises a plurality of pieces of electrical equipment and associated information of the plurality of pieces of electrical equipment;
based on the service storage conditions of the plurality of electrical devices, establishing a second data channel between the source network load device archive and the full-service data center; the second data channel is used for transmitting service data of all electrical devices in the full service data center to the source network charge device archive or providing authority of the source network charge device archive to access the full service data center; the full-service data center plans the service data into structured data and unstructured data, and is used for carrying out data extraction, data conversion and data conversion on the structured data, and the structured data is transmitted to the source network load equipment archive via the second data channel; the method is also used for extracting and converting the unstructured data, and displaying and inquiring the unstructured data in a foreground window through the second data channel;
The source network charge equipment archive is associated with a conventional GIS power grid geographic map to obtain a characteristic GIS power grid geographic map, and the method specifically comprises the following steps: marking each electric device in the source network charge device archive in the conventional GIS power grid geographic map respectively based on the geographic position information of the plurality of electric devices to form a characteristic GIS power grid geographic map; setting a calling instruction in the characterized GIS power grid geographic map; the calling instruction is used for responding to user operation; establishing a first data channel between the source network load equipment archive and the characterized GIS power grid geographic map; the first data channel is used for transmitting the associated information of each electrical device in the source network load device archive to the characteristic GIS power grid geographic map and displaying the information in the characteristic GIS power grid geographic map, or providing the authority of the characteristic GIS power grid geographic map to access the source network load device archive in response to a user instruction;
and determining a target statistical region, and counting the power information in the target statistical region based on the characterized GIS power grid geographic map.
2. The power information statistics method according to claim 1, wherein the determining a target statistics area and counting power information within the target statistics area based on the characterized GIS grid geography map comprises:
Determining a target statistical region, and counting the source network load scale in the target statistical region based on the characterized GIS power grid geographic map;
determining a target statistical region, and counting the power grid operation condition in the target statistical region based on the characterized GIS power grid geographic map;
and determining a target statistical region, and counting electric quantity information in the target statistical region based on the characterized GIS power grid geographic map.
3. The power information statistics method according to claim 2, wherein the statistics of the power grid operation condition in the target statistics area based on the characterized GIS power grid geographical map includes:
and counting the capacity-to-load ratio in the target counting area based on the characterized GIS power grid geographic map.
4. A power information statistics method according to claim 3, wherein said counting the ratio of the capacity to the load in the target statistics area based on the characterized GIS grid geographical map comprises:
determining the total capacity of each electrical device in the target statistical region based on a pre-established capacity-to-capacity ratio device capacity calculation model;
determining the highest load in the target statistical region based on a pre-established capacity-to-load ratio highest load calculation model;
And determining the capacity-to-load ratio in the target statistical region based on the total capacity of each electrical device in the target statistical region and the highest load in the target statistical region.
5. A power information statistical device, the device comprising:
the source network charge equipment archive building module is used for building a source network charge equipment archive; the source network load equipment archive comprises a plurality of pieces of electrical equipment and associated information of the plurality of pieces of electrical equipment;
the second channel establishing module is used for establishing a second data channel between the source network load equipment archive and the full-service data center based on the service storage conditions of the plurality of electrical equipment; the second data channel is used for transmitting service data of all electrical devices in the full service data center to the source network charge device archive or providing authority of the source network charge device archive to access the full service data center; the full-service data center plans the service data into structured data and unstructured data, and is used for carrying out data extraction, data conversion and data conversion on the structured data, and the structured data is transmitted to the source network load equipment archive via the second data channel; the method is also used for extracting and converting the unstructured data, and displaying and inquiring the unstructured data in a foreground window through the second data channel;
The association module is used for associating the source network load equipment archive with a conventional GIS power grid geographic map to obtain a characteristic GIS power grid geographic map, and specifically comprises the following steps: marking each electric device in the source network charge device archive in the conventional GIS power grid geographic map respectively based on the geographic position information of the plurality of electric devices to form a characteristic GIS power grid geographic map; setting a calling instruction in the characterized GIS power grid geographic map; the calling instruction is used for responding to user operation; establishing a first data channel between the source network load equipment archive and the characterized GIS power grid geographic map; the first data channel is used for transmitting the associated information of each electrical device in the source network load device archive to the characteristic GIS power grid geographic map and displaying the information in the characteristic GIS power grid geographic map, or providing the authority of the characteristic GIS power grid geographic map to access the source network load device archive in response to a user instruction;
and the power information statistics module is used for determining a target statistics area and counting the power information in the target statistics area based on the characterized GIS power grid geographic map.
6. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any one of claims 1 to 4 when the program is executed by the processor.
7. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1 to 4.
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|---|---|---|---|---|
| CN112231035A (en) * | 2020-10-21 | 2021-01-15 | 中国银行股份有限公司 | Business data display method and device |
| CN112308739B (en) * | 2020-11-20 | 2023-08-22 | 国网湖南省电力有限公司 | Classification, statistics and accounting method for regional sales power |
| CN113177725A (en) * | 2021-05-18 | 2021-07-27 | 浙江捷创智能技术有限公司 | Energy statistical method capable of configuring tree structure |
| CN113553315A (en) * | 2021-07-21 | 2021-10-26 | 国网福建省电力有限公司经济技术研究院 | GIS-based regional power grid statistics professional index display method and system |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009089594A (en) * | 2007-09-28 | 2009-04-23 | Kankoku Denryoku Kosha | Temporal-spatial load analysis system of power facility utilizing inspection data and calculation method of load |
| CN105574652A (en) * | 2015-12-10 | 2016-05-11 | 国网山东省电力公司经济技术研究院 | Planning big data management and control system of smart power distribution network and method |
-
2020
- 2020-03-20 CN CN202010203715.2A patent/CN111524027B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009089594A (en) * | 2007-09-28 | 2009-04-23 | Kankoku Denryoku Kosha | Temporal-spatial load analysis system of power facility utilizing inspection data and calculation method of load |
| CN105574652A (en) * | 2015-12-10 | 2016-05-11 | 国网山东省电力公司经济技术研究院 | Planning big data management and control system of smart power distribution network and method |
Non-Patent Citations (6)
| Title |
|---|
| 地理信息系统在电力系统上的应用;李永光;;中国科技信息(第22期);全文 * |
| 基于GIS的输电地理信息系统;元渊;;中国电业(技术版)(第09期);全文 * |
| 基于WebGIS的电力信息系统;宋文乐;张晓冬;陈勇;;电力信息化(第11期);全文 * |
| 基于WebGIS的输电网地理信息系统设计与应用;王晓华;孟京京;甄成刚;;电力信息化(第07期);第76-79页 * |
| 王晓华 ; 孟京京 ; 甄成刚 ; .基于WebGIS的输电网地理信息系统设计与应用.电力信息化.2006,(第07期),第76-79页. * |
| 配电网地理信息管理系统的应用分析;于滨;孟旭;;内蒙古电力技术(第05期);全文 * |
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