CN111524027A - Power information statistical method, device, equipment and storage medium - Google Patents
Power information statistical method, device, equipment and storage medium Download PDFInfo
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Abstract
One or more embodiments of the present description provide a power information statistical method, apparatus, device and storage medium, the method includes establishing a source network load device archive; the source network load equipment archive library comprises a plurality of pieces of electrical equipment and associated information of the plurality of pieces of electrical equipment; associating the source network load equipment archive library with a conventional GIS power grid geographic map to obtain a characteristic GIS power grid geographic map; and determining a target statistical area, and counting the electric power information in the target statistical area based on the characteristic GIS power grid geographic map. A source network load equipment archive library 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 mode of operation on the map is formed, online automatic statistics is realized, power grid topology in any target statistical region is intelligently identified, and the source network load equipment statistical analysis is dynamically developed in real time.
Description
Technical Field
One or more embodiments of the present disclosure relate to the field of telecommunications, and in particular, to a power information statistics method, apparatus, device, and storage medium.
Background
At present, as an informatization support of national power grid services, a planning plan information management system can realize online filling, auditing, summarizing and releasing of statistical services through an information system; the statistical service presentation mode mainly takes a report as a main mode, is developed in a mode of recording unit data into an information system and reporting and summarizing step by step through a basic layer, and has the advantages of manual data collection, large workload, report display, single form, layer-by-layer filling, long link flow, human intervention phenomenon and difficulty in guaranteeing data authenticity.
Disclosure of Invention
In view of the above, 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 workload of manually collecting data is large in the existing power information statistics.
In view of the above object, a first aspect of one or more embodiments of the present specification provides a power information statistical method, including:
establishing a source network load equipment archive library; the source network load equipment archive library comprises a plurality of pieces of electrical equipment and associated information of the plurality of pieces of electrical equipment;
associating the source network load equipment archive library with a conventional GIS power grid geographic map to obtain a characteristic GIS power grid geographic map;
and determining a target statistical area, and counting the electric power information in the target statistical area based on the characteristic GIS power grid geographic map.
Optionally, the associating the source network load device archive with a conventional GIS grid geographical map to obtain a characterized GIS grid geographical map includes:
respectively marking a plurality of electrical equipment in the source network load equipment archive library in the conventional GIS power grid geographical map to form a characterized GIS power grid geographical map;
setting a calling instruction in the geographic map of the characterized GIS power grid; the calling instruction is used for responding to user operation;
establishing a first data channel between the source network load equipment archive and the geographic map of the characterized GIS power grid; the first data channel is used for transmitting the associated information of each electrical device in the source grid load device archive library to the characterized GIS power grid geographical map and displaying the associated information in the characterized GIS power grid geographical map, or providing the authority of the characterized GIS power grid geographical map for responding to a user instruction to access the source grid load device archive library.
Optionally, the association information of the plurality of electrical devices includes geographical location information of the plurality of electrical devices, respectively;
the step of respectively marking the plurality of electrical equipment in the source grid load equipment archive library in a conventional GIS grid geographical map to form a characterized GIS grid geographical map comprises the following steps:
and respectively marking each electrical device in the source network load device archive library in a conventional GIS power grid geographic map to form a characterized GIS power grid geographic map based on the geographic position information of the plurality of electrical devices.
Optionally, the method further comprises:
establishing a second data channel between the source network load equipment archive library and the full-service data center; 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 load device archive or providing the authority of the source network load device archive to access the full-service data center.
Optionally, the determining a target statistical region, and counting power information in the target statistical region based on the geographic map of the characterized GIS grid includes:
determining a target statistical area, and counting the source network load scale in the target statistical area based on the characteristic GIS power grid geographic map;
determining a target statistical area, and counting the power grid operation condition in the target statistical area based on the characteristic GIS power grid geographic map;
and determining a target statistical area, and counting the electric quantity information in the target statistical area based on the characteristic GIS power grid geographic map.
Optionally, the counting the power grid operating conditions in the target counting 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 characteristic GIS power grid geographic map.
Optionally, the counting, based on the geographic map of the characterized GIS grid, the capacity-to-load ratio in the target counting area includes:
determining the total capacity of each electrical device in the target statistical region based on a pre-established capacity-to-load 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.
In accordance with a second aspect of one or more embodiments of the present invention, there is provided a power information statistic apparatus, including:
the source network load equipment archive establishment module is used for establishing a source network load equipment archive; the source network load equipment archive library comprises a plurality of pieces of electrical equipment and associated information of the plurality of pieces of electrical equipment;
the correlation module is used for correlating the source network load equipment archive library with a conventional GIS power grid geographic map to obtain a characteristic GIS power grid geographic map;
and the electric power information counting module is used for determining a target counting area and counting the electric power information in the target counting area based on the characteristic GIS power grid geographic map.
Optionally, the associating module includes:
the electrical equipment marking unit is used for respectively marking a plurality of electrical equipment in the source network load equipment archive library in the conventional GIS power grid geographic map to form a characterized GIS power grid geographic map;
the calling instruction setting unit is used for setting calling instructions in the geographic map of the characterized GIS power grid; 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 library and the geographic map of the characterized GIS power grid; the first data channel is used for transmitting the associated information of each electrical device in the source grid load device archive library to the characterized GIS power grid geographical map and displaying the associated information in the characterized GIS power grid geographical map, or providing the authority of the characterized GIS power grid geographical map for responding to a user instruction to access the source grid load device archive library.
Optionally, the association information of the plurality of electrical devices includes geographical location information of the plurality of electrical devices, respectively;
the electrical equipment labeling unit is specifically configured to:
and respectively marking each electrical device in the source network load device archive library in the conventional GIS power grid geographic map to form a characterized GIS power grid geographic map based on the geographic position information of the plurality of electrical devices.
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 library and the full-service data center; 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 load device archive or providing the authority of the source network load device archive to access the full-service data center.
Optionally, the power information statistic module includes:
the source network load scale statistical unit is used for determining a target statistical area and counting the source network load scale in the target statistical area based on the characteristic GIS power grid geographic map;
the power grid operation condition counting unit is used for determining a target counting area and counting the power grid operation condition in the target counting area based on the characteristic GIS power grid geographic map;
and the electric quantity information counting unit is used for determining a target counting area and counting the electric quantity information in the target counting area based on the geographic map of the characterized GIS power grid.
Optionally, the grid operating condition statistics unit includes:
and the capacity-to-load ratio counting subunit is used for counting the capacity-to-load ratio in the target counting area based on the characteristic GIS power grid geographic map.
Optionally, the capacity-to-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-load 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.
A third aspect of one or more embodiments of the present invention provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to implement the method according to any one of the first aspect of the present invention.
A fourth aspect of one or more embodiments of the invention provides a non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the method of any one of the first aspects of the invention.
As can be seen from the above, in the power information statistics method, apparatus, device, and storage medium provided in one or more embodiments of the present disclosure, a source grid load device archive including a plurality of electrical devices and associated information thereof is constructed, then a characterized GIS grid geographical map is established by using the source grid load device archive and a conventional GIS grid geographical map, and finally, power information statistics in a target statistics area is performed based on the characterized GIS grid geographical map; a source network charge equipment archive library is associated with a conventional GIS power grid geographic map 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 mode of operation on the map is formed, a power information statistics function covering source network charge full-scale equipment, penetrating through full voltage levels and spanning multi-time-state application is realized in a visual mode, online automatic statistics is realized, power grid topology in any target statistics area is intelligently identified, and source network charge equipment statistics analysis is dynamically developed in real time.
Drawings
In order to more clearly illustrate one or more embodiments or prior art solutions of the present specification, the drawings that are needed in the description of the embodiments or prior art will be briefly described below, and it is obvious that the drawings in the following description are only one or more embodiments of the present specification, and that other drawings may be obtained by those skilled in the art without inventive effort from these drawings.
Fig. 1 is a schematic flow chart of a power information statistical method according to one or more embodiments of the present disclosure;
FIG. 2 is an exemplary diagram of a source load device archive provided in one or more embodiments of the present description;
fig. 3 is a schematic structural 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 more specific hardware structure of an electronic device according to one or more embodiments of the present disclosure.
Detailed Description
For the purpose of promoting a better understanding of the objects, aspects and advantages of the present disclosure, reference is made to the following detailed description taken in conjunction with the accompanying drawings.
It is to be noted that unless otherwise defined, technical or scientific terms used in one or more embodiments of the present specification should have the ordinary meaning as understood by those of ordinary skill in the art to which this disclosure belongs. The use of "first," "second," and similar terms in one or more embodiments of the specification is not intended to indicate any order, quantity, or importance, but rather is used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that the element or item listed before the word covers the element or item listed after the word and its equivalents, but does not exclude other elements or items.
At present, as an informatization support of national power grid services, a planning plan information management system can realize online filling, auditing, summarizing and releasing of statistical services through an information system; the statistical service comprises 16 modules of equipment statistics, production statistics, investment statistics and the like, statistical application of each voltage level, each unit level and each statistical caliber is realized around an index system, the efficiency and the quality of statistical work are improved, and authoritative data support is provided for power grid planning, early stage, planning and investment work.
At present, the presentation mode of statistical services is mainly based on reports, and is developed by a basic unit data entry informatization system and a step-by-step reporting and summarizing mode, and the method mainly has the following defects:
1) data are collected manually, workload is large, the data are filled layer by layer, links are multiple, procedures are long, manual intervention phenomenon exists, and data authenticity is difficult to guarantee. And the statistical data is dispersed and comes from a plurality of specialties, the management links are more, and the smooth communication of all related business data is not realized.
2) The method lacks uniform basic information and flexible index algorithm, does not create and research efficient data processing method and tool, and is difficult to automatically generate index results with any caliber.
3) The method has the advantages that the graph and the number are separated, the graph is cracked, the graph-number-table is not interactively fused, the space information of the power grid equipment cannot be visually displayed, and the weak link of the power grid cannot be clearly identified.
4) The annual operation data is stored by taking T as a unit, the data volume is large, the server resources occupy more, the prior art can only store the data of typical days for data analysis, and the data of the past year cannot be transversely contrasted and analyzed.
In order to solve the above problems, the present specification provides a power information statistics method, apparatus, device, and storage medium, which are configured to build a source grid load device archive including a plurality of electrical devices and associated information thereof, establish a characterized GIS grid geographical map by using the source grid load device archive and a conventional GIS grid geographical map, and finally perform power information statistics in a target statistics area based on the characterized GIS grid geographical map. The method and the device can be applied to various electronic devices such as mobile phones and tablet computers, and are not limited specifically.
For convenience of understanding, the power information statistical method is described in detail below with reference to the accompanying drawings.
Fig. 1 is a schematic flow chart of a power information statistical method provided in this specification, where the method includes:
s11, establishing a source network load equipment archive library; the source network load device archive comprises a plurality of electrical devices and associated information of the electrical devices.
In the present embodiment, the source grid load device refers to all electrical devices covered from production to consumption of electric energy. The power source refers to a power source, and can be thermal power, hydroelectric power, nuclear power, solar energy, tidal energy, geothermal energy and the like according to different power generation types, and is not limited specifically; the network refers to a power grid, and electric energy is supplied to users through facilities such as a step-up transformer, a power transmission line, a step-down transformer, a distribution line, a circuit breaker, a fuse, a distribution switch, a distribution transformer and the like after being supplied to the power grid in a power plant; the load is 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 users according to the voltage grade of the user electricity consumption, wherein the low-voltage users comprise common low-voltage residential electricity, common industrial and commercial electricity and the like, and the high-voltage users comprise industrial electricity and the like.
FIG. 2 is an exemplary diagram of a source load device archive provided herein; as shown in figure 2 of the drawings, in which,
the source network load equipment archive library is a database comprising all electrical equipment covered from production to consumption of electric energy and associated information thereof; the associated information includes equipment ledgers, maintenance records, electric quantity information, financial information, electric power information, project information, geographic position information, index data, source information of various types of data, and the like, and is not limited specifically.
In practical application, the source network load equipment archive library comprises a power supply archive, a power grid archive and a user archive; the method comprises the steps that source network load equipment data of a plurality of departments and a plurality of sets of information systems can be integrated to establish a source network load equipment archive library; for example, data of a marketing service application system of a marketing part of a power grid company, a power consumption acquisition system, an OMS/EMS system of a regulation center, a PMS system of a facility part, and the like may be integrated, and the data is not particularly limited.
And S12, associating the source network load equipment archive library with the conventional GIS power grid geographic map to obtain a characterized GIS power grid geographic map.
In this embodiment, the general GIS grid geographical map refers to a geographical information system, which is a specific important spatial information system, and is a technical system for collecting, storing, managing, calculating, analyzing, displaying and describing relevant geographical distribution data in the whole or part of the space of the earth surface layer (including the atmosphere).
The source network load equipment archive library is associated with the conventional GIS power grid geographic map to form a characterized GIS power grid geographic map, a visual geographic map layer can be directly generated in the characterized GIS power grid geographic map, and a user can directly check equipment distribution information of each area in the characterized GIS power grid geographic map.
The method for associating the source grid load device archive and the conventional GIS grid geographical map will be described in detail later, and will not be described herein again.
And S13, determining a target statistical area, and counting the electric power information in the target statistical area based on the geographic map of the characterized GIS power grid.
In this embodiment, after the source grid load device archive library is associated with the conventional GIS grid geographical map to obtain the characterized GIS grid geographical map, the target statistical area may be determined, then the target statistical area is determined in the characterized GIS grid geographical map, and each electrical device in the target statistical area is directly clicked in the characterized GIS grid geographical map, so that the power information of each electrical device, that is, the power information in the target statistical area, may be obtained.
It can be understood that a characterized GIS power grid geographic map is established by associating a source power grid charge equipment archive library with a conventional GIS power grid geographic map, then power information statistics is carried out based on the characterized GIS power grid geographic map, a mode of operation on the map is formed, a power information statistics function covering source power grid charge full-capacity equipment, penetrating through full voltage levels and spanning multi-time-state application is realized in a visual mode, online automatic statistics is realized, power grid topology in any target statistics area is intelligently identified, and source power grid charge equipment statistics analysis is dynamically developed in real time.
In practical application, in order to realize automatic statistics of electric power information on the network, a source network load equipment archive library can be associated with a conventional GIS power grid geographic map, and the electrical equipment and associated information in the source network load equipment archive library are visually displayed in the conventional GIS power grid geographic map; then, in some possible embodiments, associating the source grid load device archive with a conventional GIS grid geographical map to obtain a characterized GIS grid geographical map, including:
respectively displaying a plurality of electrical equipment in a source network load equipment archive library in a conventional GIS power grid geographic map to form a characterized GIS power grid geographic map;
setting a calling instruction in a geographic map of a characteristic GIS power grid; the calling instruction is used for responding to user operation;
establishing a first data channel between a source network load equipment archive library and a geographic map of a featured GIS power grid; the first data channel is used for transmitting the associated information of each electrical device in the source grid load device archive library to a characterized GIS power grid geographical map and displaying the associated information in the characterized GIS power grid geographical map, or providing the authority of the characterized GIS power grid geographical map for responding to a user instruction to access the source grid load device archive library.
In practical application, in order to associate the source network load equipment archive library with the conventional GIS grid geographical map, a plurality of electrical equipment in the source network load equipment archive library can be firstly respectively marked in the conventional GIS grid geographical map; namely, a plurality of electrical devices in the source network load device archive library are respectively displayed in a conventional GIS power grid geographical map to form a characterized GIS power grid geographical map. When the electric power information statistics is carried out based on the characterized GIS power grid geographical map, each electric device marked in the characterized GIS power grid geographical map plays a role of a 'button'; when a user clicks each electrical device in the characterized GIS power grid geographical map, a visual geographical map layer is generated in the characterized GIS power grid geographical map, and the user can directly check the power information of each electrical device in the characterized GIS power grid geographical map.
In practical application, a calling instruction can be set in a geographic map of a characteristic GIS power grid; when a user electrically characterizes electrical equipment in the GIS power grid geographic map, a calling instruction set in the characterized GIS power grid geographic map is triggered; when the calling instruction is triggered, the geographic map of the GIS power grid can acquire or call data in the source grid load equipment archive.
In practical application, a first data channel for transmitting data can be further arranged between the source network load equipment archive library and the geographic map of the characterized GIS power grid; the first data channels can be accessed mutually in a mode of establishing a database chain between the source network load equipment archive memory and the GIS power grid geographic map memory, and can also be accessed mutually in a mode of a Web Service interface, and the method is not limited specifically.
In one case, when a user clicks a certain electrical device in a target statistical area in a characteristic GIS grid geographical map, a preset calling instruction is triggered, the authority for accessing a source grid load device archive is provided through a first data channel, namely, the associated information of the electrical device in the source grid load device archive is directly called through the first data channel, a visual geographical map layer is formed in the characteristic GIS grid geographical map, and the user can view the associated information of the electrical device through the visual geographical map layer.
In one case, when a user clicks a certain electrical device in a target statistical area in a geographic map of a characteristic GIS power grid, a preset calling instruction is triggered, the associated information of the electrical device stored in a source grid load device archive is transmitted to the geographic map of the characteristic GIS power grid through a first data channel, a visual geographic map layer is formed in the geographic map of the characteristic GIS power grid, and the user can view the associated information of the electrical device through the visual geographic map layer.
It can be understood that the source network load equipment archive library and the conventional GIS power grid geographic map are associated by respectively marking a plurality of electrical equipment in the source network load equipment archive library in the conventional GIS power grid geographic map to form a characterized GIS power grid geographic map and establishing a first data channel, so that 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 from the original county as a minimum unit, and important data support is provided for power information statistics of the local region.
In practical application, a plurality of electrical devices in the source network load device archive can be marked in a conventional GIS power grid geographic map according to a plurality of rules; then, in some possible embodiments, the association information of the plurality of electrical devices respectively includes geographical location information of the plurality of electrical devices;
respectively marking a plurality of electrical equipment in a source network load equipment archive library in a conventional GIS power grid geographic map to form a characterized GIS power grid geographic map, comprising the following steps of:
and respectively marking each electrical device in the source network load device archive library in a conventional GIS power grid geographic map to form a characterized GIS power grid geographic map based on the geographic position information of the plurality of electrical devices.
Namely, in order to mark a plurality of electrical devices in the source network load device archive library in the conventional GIS grid geographical map, the electrical devices can be marked in the conventional GIS grid geographical map according to the geographical location information of the electrical devices, that is, according to the longitude and latitude of the area where the electrical devices are located, so as to form the characterized GIS grid geographical map.
It can be understood that the geographic position information of the electrical equipment in the source network load equipment archive base is used for marking the electrical equipment in the conventional GIS power grid geographic map respectively to form the characterized GIS power grid geographic map, so that the geographic position of the electrical equipment can be determined more accurately in the conventional GIS power grid geographic map, and the accuracy of 'online automatic statistics' of the power information is improved.
In practical application, the power information of the electrical equipment also comprises a large amount of data such as the service condition of the electrical equipment, and the data is huge, so that the data cannot be stored or is incompletely stored in a source network load equipment archive library, and the large amount of data 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 library and the full-service data center; the second data channel is used for transmitting the service data of each electrical device in the full-service data center to a source network load device archive or providing the authority of the source network load device archive to access the full-service data center.
In practical application, the full-service data center may be a data storage center established in a local public shared server, or may be a data storage center established in a cloud server, which is not particularly limited.
The full-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 fusing various service data in the production, operation and management process and mainly comprises a service processing database and a unified data access service; the data analysis sub-center is a collection center of full-service, full-type and full-time dimension data, keeps real-time consistency with data of the data processing sub-center, and provides complete data resources, high-efficiency analysis and calculation capacity and a uniform operating environment for various analysis decision 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 subcenter is unified data model construction, main data construction and application, and support is provided for cross-specialty and cross-system data integration and application through unified planning and control on data definition, storage and use.
The full-service data center is a data center used for storing multi-service data such as marketing, scheduling and equipment, and service system data, such as PMS system data, EMS/OMS system data, marketing system data, sampling system data, and the like, is stored in the full-service data center, and is not limited specifically. The full-service data center can plan the service system data into two categories of structured data and unstructured data, and the structured data can be transmitted to the source network load equipment archive through a second data channel after the processing processes of data extraction, data conversion and the like. The unstructured data can be extracted and converted in the mode, but most of business work does not need to be transmitted due to the large data magnitude, can be directly accessed through the second data channel, and can be displayed and inquired in a foreground window.
Data extraction, namely extracting data required by a source network load equipment archive from a 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 load equipment archive according to service requirements, and clean and process the wrong and inconsistent data; and the data loading is to load the converted data into the source network loading equipment archive library through a second data channel.
In practical application, the second data channel may be formed by technologies such as a CIM/E parser, a PMS interface adapter, and an ETL, where different technologies are used to obtain different types of data, and the CIM/E parser is mainly used to parse and obtain scheduling unstructured running data; the PMS interface adapter and the ETL are mainly used for analyzing, extracting and converting the structured file data.
In one case, when a user clicks a certain electrical device in a target statistical area in a characteristic GIS power grid geographic map, a preset calling instruction is triggered, the authority of the characteristic GIS power grid geographic map for accessing a source power grid load device archive is provided through a first data channel, namely the associated information of the electrical device in the source power grid load device archive is directly called through the first data channel; and then the electrical equipment associated information and a second data channel provide the authority of accessing the full-service data center from the source network charge equipment archive, namely, the service data of the electrical equipment in the full-service data center is directly accessed and checked through the second data access and the associated information of the electrical equipment, a visual geographical map layer display is formed in the geographic map of the characterized GIS power grid, and a user can check the service data of the electrical equipment through the visual geographical map layer.
In one case, when a user clicks one electric device in a target statistical area in a feature GIS grid geographical map, a preset calling instruction is triggered, service data about the electric device in a full service data center is transmitted to a source grid load device archive through a second data channel, then is transmitted to the feature GIS grid geographical map through a first data channel, a visual geographical map layer display is formed in the feature GIS grid geographical map, and the user can view the service data of the electric device through the visual geographical map layer.
It can be understood that by establishing the full-service data center and establishing the second data channel between the full-service data center and the source network load device archive, the power information of each electrical device can be obtained more comprehensively, and the comprehensiveness of power information statistics is improved.
In some possible embodiments, determining a target statistical region, and counting power information in the target statistical region based on the geographic map of the characterized GIS grid includes:
determining a target statistical area, and counting the source network load scale in the target statistical area based on the characteristic GIS power grid geographic map;
determining a target statistical area, and counting the power grid operation condition in the target statistical area based on the characteristic GIS power grid geographic map;
and determining a target statistical area, and counting the electric quantity information in the target statistical area based on the characteristic GIS power grid geographic map.
In practical application, after a characteristic GIS power grid geographical map is established and a target statistical area is determined, electrical equipment in the target statistical area, namely source grid load scale, can be counted in the characteristic GIS power grid geographical map; and electrical equipment in the target statistical region can be clicked in the geographic map of the characterized GIS power grid, and the power grid operation condition and the electric quantity information in the target statistical region can be counted.
In one case, a user can directly click or select electrical equipment in a target statistical area in a geographic map of a characterized GIS power grid, and then the user is acquiescent to obtain all power information in the target statistical area, namely the source grid load scale, the power grid operation condition and the electric quantity information in the target statistical area; and transmitting all the electric power information about the target statistical area to a characterized GIS electric network geographical map, forming a visual geographical map layer in the characterized GIS electric network geographical map, and checking all the electric power information of the electric equipment by a user through the visual geographical map layer.
In one case, a user may select a part of the power information of a target statistical area to be obtained, transmit the part of the power information about the target statistical area to a characterized GIS grid geographical map according to the selection of the user, and form a visualized geographical map layer in the characterized GIS grid geographical map, through which the user may view the part of the power information of the electrical device.
In practical application, the power information statistics of the selected time domain can be performed on the target statistical region, that is, the power information statistics of the specific time period can be performed on the target statistical region.
And (4) carrying out statistics on the scale of the source network load, namely carrying out scale statistics such as partitioning, voltage division, asset division, classification and the like on a power supply, a power grid and 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 archive library also comprises an incidence relation between the electrical equipment, wherein the incidence relation comprises an electrical connection type and a non-electrical connection type, and the electrical connection relation exists, namely a physical connection relation exists, for example, a distribution transformer transmits electric energy to a user through a line; the non-electrical connection relationship does not exist in a physical connection relationship, for example, if a plurality of transformers exist in the transformer substation, the transformer substation is not an electrical device, and the transformers do not have a direct physical relationship, but the transformer substation and the non-electrical device are in an affiliated relationship. When the electrical facilities and the equipment are put into operation, the maintenance personnel manually enters the PMS system of the equipment department and transmits the PMS system to the source network load equipment archive library for storage through the second data channel.
When the source network load scale statistics is carried out, a target statistics area can be firstly determined in a geographic map of a characteristic GIS power grid, the topological connection relation of the power grid in the target statistics area is intelligently identified, all the electrical equipment files in the target statistics area are automatically matched based on the incidence relation among the electrical equipment in a source network load equipment file library, and the source network load scale statistics of the selected area is realized.
By carrying out source network load scale statistics on the target statistical region, newly adding, retired and changed states of source end equipment can be tracked and judged in real time, and real-time power grid current equipment data are obtained so as to meet the requirement of real-time statistics on any region; the holographic image of the main equipment of the power grid such as a transformer substation, a transformer, a line, a breaker and the like with various voltage levels of 10kV to 1000kV can also be comprehensively displayed. When the source network load scale statistics of the target statistics area is carried out, the full-load data of the source network is gathered 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 avoided; and the deep fusion and interaction of the graph, the number and the table realize the visualization of static and dynamic space-time data of the power grid, change the single display form of the traditional mode which only needs to inquire the report form, and exert the high efficiency advantage of the graph fusion.
In practical application, the electric quantity information statistics is that electric quantity statistics of subareas, power distribution prices and industries is carried out aiming at high-voltage large users, low-voltage resident users and the like, so that the purposes of providing data support internally and providing electric quantity distribution externally are achieved.
When the electric quantity information statistics is carried out, the two aspects of the power generation information statistics and the power utilization information statistics are included.
When the power generation information statistics is carried out, a target statistics area can be determined in a geographic map of a characteristic GIS power grid, the topological connection relation of the power grid in the target statistics area is intelligently identified, and power generation information such as the power generation amount, the online power quantity, the comprehensive plant power consumption quantity, the spontaneous self power consumption quantity, other power quantities, a generator set, the power generation output, the utilization hours and the like of each power generation type power plant in the target statistics area is integrated based on the topological connection relation of the power grid.
When the electricity consumption information statistics is carried out, a target statistics area can be determined in a geographic map of a characteristic GIS power grid, the topological connection relation of the power grid in the target statistics area is intelligently identified, electricity consumption information such as electricity consumption of high-voltage users, electricity consumption of low-voltage residents, electricity consumption of sub-industries, electricity consumption of sub-prices and the like in the target statistics area is flexibly counted through user industries (133 types of industries) and electricity prices for sale (7 types of electricity prices), electricity consumption of the low-voltage users can be inquired, and electricity consumption information statistics work can be conveniently carried out.
In practical application, power grid operation statistics is to judge the development margin and development coordination of a power grid by analyzing the power supply capacity (equipment capacity) and load level of a regional power grid so as to predict the future development trend and provide an important basis for power grid investment.
When the operation statistics of the power grid is carried out, the data required to be adopted comprises equipment-measuring point-operation data, the data of the electrical equipment and the measuring point information are stored in a source network load equipment archive library, and the operation data of the electrical equipment is stored in a full-service data center; when the grid operation statistics is carried out on the target statistics area and the electrical equipment in the target statistics area in the characteristic GIS grid geographic map is clicked, the electrical equipment and the measuring point information in the target statistics area can be obtained through the source grid load equipment archive library, and the operation data of the electrical equipment in the target statistics area is obtained through the full-service data center.
In practical application, the measuring point is the position for installing the collecting device; the measurement point information includes the type of the measuring device installed at the position, the measurement accuracy, the type of the measurement data, and the like. For example, the following steps are carried out: one line cannot collect information of all nodes, and usually, collecting devices are only installed at the first end and the last end to collect data such as electric quantity and load.
In practical application, the power grid operation condition in the target statistical region can be counted by counting the capacity-to-load ratio in the target statistical region based on the geographic map of the characterized GIS power grid; the capacity-load ratio refers to the ratio of the total capacity of the public transformation equipment of a power grid with the same voltage class in a certain power supply area to the corresponding total load (grid supply load); the calculation formula of the capacity-load ratio is as follows:
and (3) a certain voltage class capacity-to-load ratio is the capacity of the voltage class equipment in the region and/or the maximum load of the voltage class power grid in the region.
When the capacity-to-load ratio in the target statistical area is calculated, determining the total capacity of each electrical device in the target statistical area based on a pre-established capacity-to-load ratio device capacity calculation model; determining the highest load in a 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 area by adopting a pre-established capacity-to-load ratio device capacity calculation model based on the device name, the device type, the voltage grade, the commissioning time, the overhaul record, the operation index, the asset property and other data of the electrical devices in the target statistical area. When a capacity calculation model of capacity-to-load ratio equipment is pre-established, all equipment information related to capacity calculation of the capacity-to-load ratio is brought in, specifically comprising equipment name, equipment type, voltage grade, commissioning time, overhaul records, operation indexes, asset properties and the like, and in the modeling process, factors influencing capacity calculation of the capacity-to-load ratio need to be eliminated, and the method mainly comprises the following steps: (1) the step-up transformer transfers the load to other areas, does not participate in index calculation of the local area, and needs to be eliminated; (2) the commissioning time is later than the time section of the calculation index, namely when the index at a certain time point in the history is calculated, the electric equipment which is commissioned after the time point needs to be eliminated; (3) when the electrical equipment is in the maintenance stage, the electrical equipment is in a non-running state, namely if the selected time point in the calculation is in the maintenance period, the electrical equipment is excluded; and after the influence factors are eliminated, the capacity calculation model of the capacity ratio equipment comprises all equipment participating in the capacity calculation of the capacity ratio. When the capacity-to-load ratio calculation is carried out in the selected area, the capacity-to-load ratio equipment capacity calculation model provides filtering, screening and inputting of the capacity of the electrical equipment for the capacity-to-load ratio calculation.
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 data such as equipment information, measuring point information, operation data and the like of the electrical equipment in the target statistical region. When a capacity-to-load ratio highest load calculation model is pre-established, data information related to all capacity-to-load ratio highest load calculation is included, and the method specifically comprises the following steps: equipment information, measuring point information, running data and the like; when carrying out capacity-to-load ratio calculation in a target statistical region, acquiring electrical equipment participating in capacity-to-load ratio highest load calculation through the capacity-to-load ratio highest load calculation model, carrying out superposition of partial voltage level equipment loads to acquire power grid loads (power grid loads are superposed by equipment loads), and acquiring parameters such as highest loads, maximum load moments and the like of power grids of different voltage levels in the target statistical region to meet precondition of capacity-to-load ratio calculation; the capacity-load ratio maximum load calculation model mainly provides data input such as the maximum load of equipment, the occurrence time of the maximum load and the like for capacity-load ratio calculation.
In practical application, after the power information of the target statistical region is obtained, an investment strategy can be formulated based on the power information of the target statistical region.
It should be noted that the method of one or more embodiments of the present disclosure 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 completed by the mutual cooperation of a plurality of devices. In such a distributed scenario, one of the devices may perform only one or more steps of the method of one or more embodiments of the present disclosure, and the devices may interact with each other to complete the method.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may 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 may also be possible or may be advantageous.
Fig. 3 is a schematic structural diagram of a power information statistics apparatus provided in this specification, the apparatus including:
a source network load device archive establishment module 31, configured to establish 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 electrical equipment;
the correlation module 32 is used for correlating the source network load equipment archive library with a conventional GIS power grid geographic map to obtain a characteristic GIS power grid geographic map;
and the power information counting module 33 is configured to determine a target counting area, and count power information in the target counting area based on the geographic map of the featured GIS grid.
In some possible embodiments, the association module 32 includes:
the electrical equipment marking unit is used for respectively marking a plurality of electrical equipment in the source network load equipment archive library in a conventional GIS power grid geographic map to form a characterized GIS power grid geographic map;
the calling instruction setting unit is used for setting calling instructions in the geographic map of the characterized GIS power grid; 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 a source network load equipment archive and a geographic map of a featured GIS power grid; the first data channel is used for transmitting the associated information of each electrical device in the source network load device archive library to the characterized GIS power grid geographical map and displaying the associated information in the characterized GIS power grid geographical map, or providing the authority of the characterized GIS power grid geographical map for responding to a user instruction to access the source network load device archive library.
In some possible embodiments, the association information of the plurality of electrical devices respectively includes geographical location information of the plurality of electrical devices;
the electrical equipment labeling unit is specifically used for:
and respectively marking each electrical device in the source network load device archive library in a conventional GIS power grid geographic map to form a characterized GIS power grid geographic map based on the geographic position information of the plurality of electrical devices.
In some possible embodiments, the apparatus further comprises a second data channel establishing module (not shown in the figures);
the second data channel establishing module is used for establishing a second data channel between the source network load equipment archive library and the full-service data center; the second data channel is used for transmitting the service data of each electrical device in the full-service data center to a source network load device archive or providing the authority of the source network load device archive to access the full-service data center.
In some possible embodiments, the power information statistics module 33 includes:
the source network load scale statistical unit is used for determining a target statistical area and counting the source network load scale in the target statistical area based on the geographic map of the characteristic GIS power grid;
the power grid operation condition counting unit is used for determining a target counting area and counting the power grid operation condition in the target counting area based on the characteristic GIS power grid geographic map;
and the electric quantity information counting unit is used for determining a target counting area and counting the electric quantity information in the target counting area based on the geographic map of the characteristic GIS power grid.
In some possible embodiments, the grid operation condition statistics unit includes:
and the capacity-to-load ratio counting subunit is used for counting the capacity-to-load ratio in the target counting area based on the geographic map of the characteristic GIS power grid.
In some possible embodiments, the capacity-to-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-load ratio device capacity calculation model;
determining the highest load in a target statistical region based on a pre-established capacity-to-load ratio highest load calculation model;
and determining the capacity-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 divided into various modules by functions, and are described separately. Of course, the functionality of the modules may be implemented in the same one or more software and/or hardware implementations in implementing one or more embodiments of the present description.
The apparatus of the foregoing embodiment is used to implement the corresponding method in the foregoing embodiment, and has the beneficial effects of the corresponding method embodiment, which are not described herein again.
The present specification also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement any one of the above power information statistics methods.
Fig. 4 is a schematic diagram illustrating a more specific hardware structure of an electronic device according to this embodiment, where the electronic device may include: a processor 1010, a memory 1020, an input/output interface 1030, a communication interface 1040, and a bus 1050. Wherein the processor 1010, memory 1020, input/output interface 1030, and communication interface 1040 are communicatively coupled to each other within the device via bus 1050.
The processor 1010 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits, and is configured to execute related programs to implement the technical solutions provided in the embodiments of the present disclosure.
The Memory 1020 may be implemented in the form of a ROM (Read Only Memory), a RAM (Random access Memory), a static storage device, a dynamic storage device, or the like. The memory 1020 may store an operating system and other application programs, and when the technical solution provided by the embodiments of the present specification is implemented by software or firmware, the relevant program codes are stored in the memory 1020 and called to be executed by the processor 1010.
The input/output interface 1030 is used for connecting an input/output module to input and output information. The i/o module may be configured as a component in a device (not shown) or may be external to the device to provide a corresponding function. The input devices may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output devices may include a display, a speaker, a vibrator, an indicator light, etc.
The communication interface 1040 is used for connecting a communication module (not shown in the drawings) to implement communication interaction between the present apparatus and other apparatuses. The communication module can realize communication in a wired mode (such as USB, network cable and the like) and also can realize communication in a wireless mode (such as mobile network, WIFI, Bluetooth and the like).
It should be noted that although the above-mentioned device only shows the processor 1010, the memory 1020, the input/output interface 1030, the communication interface 1040 and the bus 1050, in a specific implementation, the device may also include other components necessary for normal operation. In addition, those skilled in the art will appreciate that the above-described apparatus may also include only those components necessary to implement the embodiments of the present description, and not necessarily all of the components shown in the figures.
The present specification also provides a non-transitory computer-readable storage medium storing computer instructions for causing the computer to perform any one of the power information statistics methods described above.
Computer-readable media of the present embodiments, including both non-transitory and non-transitory, removable and non-removable media, may 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 computer storage media 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 that can be used to store information that can be accessed by a computing device.
Those of ordinary skill in the art will understand that: the discussion of any embodiment above is meant to be exemplary only, and is not intended to intimate that the scope of the disclosure, including the claims, is limited to these examples; within the spirit of the present disclosure, features from the above embodiments or from different embodiments may also be combined, steps may be implemented in any order, and there are many other variations of different aspects of one or more embodiments of the present description as described above, which are not provided in detail for the sake of brevity.
In addition, well-known power/ground connections to Integrated Circuit (IC) chips and other components may or may not be shown in the provided figures, for simplicity of illustration and discussion, and so as not to obscure one or more embodiments of the disclosure. Furthermore, devices may be shown in block diagram form in order to avoid obscuring the understanding of one or more embodiments of the present description, and this also takes into account the fact that specifics with respect to implementation of such block diagram devices are highly dependent upon the platform within which the one or more embodiments of the present description are to be implemented (i.e., 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 instead of restrictive.
While the present disclosure has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of these embodiments will be apparent to those of ordinary skill in the art in light of the foregoing description. For example, other memory architectures (e.g., dynamic ram (dram)) may use the discussed embodiments.
It is intended that the one or more embodiments of the present specification embrace all such alternatives, modifications and variations as fall within the broad scope of the appended claims. Therefore, any omissions, modifications, substitutions, improvements, and the like that may be made without departing from the spirit and principles of one or more embodiments of the present disclosure are intended to be included within the scope of the present disclosure.
Claims (10)
1. A power information statistical method is characterized by comprising the following steps:
establishing a source network load equipment archive library; the source network load equipment archive library comprises a plurality of pieces of electrical equipment and associated information of the plurality of pieces of electrical equipment;
associating the source network load equipment archive library with a conventional GIS power grid geographic map to obtain a characteristic GIS power grid geographic map;
and determining a target statistical area, and counting the electric power information in the target statistical area based on the characteristic GIS power grid geographic map.
2. The power information statistical method of claim 1, wherein the associating the source grid load device archive with a conventional GIS grid geographical map to obtain a characterized GIS grid geographical map comprises:
respectively marking a plurality of electrical equipment in the source network load equipment archive library in the conventional GIS power grid geographical map to form a characterized GIS power grid geographical map;
setting a calling instruction in the geographic map of the characterized GIS power grid; the calling instruction is used for responding to user operation;
establishing a first data channel between the source network load equipment archive and the geographic map of the characterized GIS power grid; the first data channel is used for transmitting the associated information of each electrical device in the source grid load device archive library to the characterized GIS power grid geographical map and displaying the associated information in the characterized GIS power grid geographical map, or providing the authority of the characterized GIS power grid geographical map for responding to a user instruction to access the source grid load device archive library.
3. The power information statistical method according to claim 2, wherein the association information of the plurality of electrical devices includes geographical location information of the plurality of electrical devices, respectively;
the step of respectively marking the plurality of electrical equipment in the source grid load equipment archive library in the conventional GIS power grid geographic map to form a characterized GIS power grid geographic map comprises the following steps:
and respectively marking each electrical device in the source network load device archive library in the conventional GIS power grid geographic map to form a characterized GIS power grid geographic map based on the geographic position information of the plurality of electrical devices.
4. The power information statistics method according to claim 1, characterized by further comprising:
establishing a second data channel between the source network load equipment archive library and the full-service data center; 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 load device archive or providing the authority of the source network load device archive to access the full-service data center.
5. The power information statistical method according to claim 1, wherein the determining a target statistical region and counting power information in the target statistical region based on the geographic map of the characterized GIS grid comprises:
determining a target statistical area, and counting the source network load scale in the target statistical area based on the characteristic GIS power grid geographic map;
determining a target statistical area, and counting the power grid operation condition in the target statistical area based on the characteristic GIS power grid geographic map;
and determining a target statistical area, and counting the electric quantity information in the target statistical area based on the characteristic GIS power grid geographic map.
6. The power information statistical method according to claim 5, wherein the statistics of the grid operation conditions in the target statistical region based on the characterized GIS grid geographical map comprises:
and counting the capacity-to-load ratio in the target counting area based on the characteristic GIS power grid geographic map.
7. The power information statistical method according to claim 6, wherein the statistics of the capacity-to-load ratio in the target statistical region based on the characterized GIS power grid geographical map comprises:
determining the total capacity of each electrical device in the target statistical region based on a pre-established capacity-to-load 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.
8. An apparatus for statistics of power information, the apparatus comprising:
the source network load equipment archive establishment module is used for establishing a source network load equipment archive; the source network load equipment archive library comprises a plurality of pieces of electrical equipment and associated information of the plurality of pieces of electrical equipment;
the correlation module is used for correlating the source network load equipment archive library with a conventional GIS power grid geographic map to obtain a characteristic GIS power grid geographic map;
and the electric power information counting module is used for determining a target counting area and counting the electric power information in the target counting area based on the characteristic GIS power grid geographic map.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 1 to 7 when executing the program.
10. A non-transitory computer readable storage medium storing computer instructions for causing a computer to perform the method of any one of claims 1 to 7.
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