CN117131928A - Topology map construction method and device for core resource asset data of surface distribution network - Google Patents
Topology map construction method and device for core resource asset data of surface distribution network Download PDFInfo
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Abstract
The invention discloses a topology map construction method and device for core resource asset data of a surface distribution network. The method comprises the following steps: acquiring identification information of each electrical entity in a target electrical entity set; inquiring a target table according to the identification information of each electric entity in the target electric entity set to obtain a basic information table corresponding to each electric entity in the target electric entity set, wherein the target table comprises: basic information corresponding to at least two types of electrical entities, wherein the basic information table comprises: encoding connection information; constructing an entity connection relation table according to the identification information of at least two target electric entities with the same connection information codes in the target electric entity set and the corresponding connection information codes of the at least two target electric entities; according to the technical scheme, the topology map construction efficiency can be improved, and the data management efficiency is further improved.
Description
Technical Field
The embodiment of the invention relates to the technical field of computers, in particular to a topology map construction method and device for core resource asset data of a surface distribution network.
Background
Along with the rapid construction and development of the energy Internet, new energy, a distributed power supply, an energy storage device and an electric automobile are increasingly widely accessed, the terminal power load presents a new trend of rapid growth, large change and diversification, the power grid structure and the operation mode of the power grid structure are increasingly complex, the power distribution network is changed from 'passive' to 'active', and the trend is also changed from 'unidirectional' to 'multidirectional', so that new problems are brought to the operation and asset management of the power grid.
The power grid topology data is connected with core services such as transformer substations, power transmission and distribution networks, power equipment, power consumers, power loads, production management and the like. The method records the characteristics of the power grid network, including a network topology structure formed by the physical relationship, the customer relationship and the asset relationship of the power grid. Meanwhile, a large amount of power grid operation data, state monitoring data and intelligent ammeter data are generated on the basis. The power grid topology data are the basis for supporting business management such as power grid marketing, power distribution and scheduling, and business application of the through power grid marketing and scheduling can be effectively supported by efficiently analyzing the data.
However, with the advancement of fine management of grid operation and maintenance and marketing and distribution through services, the analysis of the grid topology encounters more and more bottlenecks. Grid equipment management has been extended to low voltage and rural power grid users, where the number of grid equipment has grown dramatically, resulting in geometrical increases in grid topology data. The marketing and allocation business is communicated and refined management is extended to the tail end of the power grid, so that the business is frequently accessed, the user quantity is greatly increased, and higher requirements are provided for the topology analysis of the power grid. The power grid dispatching application and the requirement on the real-time data further improve the real-time updating requirement on the power grid topology data and also increase the performance requirement of the power grid topology analysis.
The traditional power grid topology is constructed based on CIM/E model, and can realize power grid topology search by analyzing XML file and based on stored content. The method for describing the CIM model by adopting the XML file has the following problems:
1. the occupied space is large, the redundant information amount is large, and the query analysis efficiency is low;
2. considering that the novel power system has large power grid scale, multiple equipment types and complex connection relation, the relation database is difficult to simply describe the association relation between data, the topology searching efficiency is low, the matrix constructed by the traditional method has higher dimension, the high-dimensional matrix inversion is involved, and the calculation power requirement is high.
Disclosure of Invention
The embodiment of the invention provides a topology map construction method and device for core resource asset data of a surface distribution network, which are used for realizing the improvement of the efficiency of topology map construction and further improving the data management efficiency.
According to one aspect of the invention, a topology map construction method for core resource asset data of a surface distribution network is provided, comprising the following steps:
acquiring identification information of each electrical entity in a target electrical entity set;
inquiring a target table according to the identification information of each electric entity in the target electric entity set to obtain a basic information table corresponding to each electric entity in the target electric entity set, wherein the target table comprises: basic information corresponding to at least two types of electrical entities, wherein the basic information table comprises: encoding connection information;
constructing an entity connection relation table according to the identification information of at least two target electric entities with the same connection information codes in the target electric entity set and the corresponding connection information codes of the at least two target electric entities;
and constructing a topological graph according to the entity connection relation table, the target ontology model, the target connection line model and the target table.
According to another aspect of the present invention, there is provided a topology map construction apparatus for surface distribution network core resource asset data, the topology map construction apparatus for surface distribution network core resource asset data comprising:
The identification information acquisition module is used for acquiring the identification information of each electric entity in the target electric entity set;
the basic information query module is configured to query a target table according to identification information of each electrical entity in the target electrical entity set, and obtain a basic information table corresponding to each electrical entity in the target electrical entity set, where the target table includes: basic information corresponding to at least two types of electrical entities, wherein the basic information table comprises: encoding connection information;
the entity connection relation table construction module is used for constructing an entity connection relation table according to the identification information of at least two target electric entities with the same connection information codes in the target electric entity set and the connection information codes corresponding to the at least two target electric entities;
the topology map construction module is used for constructing a topology map according to the entity connection relation table, the target ontology model, the target connection line model and the target table.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the topology map construction method of surface area network core resource asset data according to any of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to implement a topology map construction method for core resource asset data of a surface distribution network according to any embodiment of the present invention when executed.
The embodiment of the invention obtains the identification information of each electric entity in the target electric entity set; inquiring a target table according to the identification information of each electric entity in the target electric entity set to obtain a basic information table corresponding to each electric entity in the target electric entity set, wherein the target table comprises: basic information corresponding to at least two types of electrical entities, wherein the basic information table comprises: encoding connection information; constructing an entity connection relation table according to the identification information of at least two target electric entities with the same connection information codes in the target electric entity set and the corresponding connection information codes of the at least two target electric entities; according to the entity connection relation table, the target ontology model, the target connection line model and the target table, a topology map is constructed, so that the efficiency of constructing the topology map can be improved, and the data management efficiency is further improved.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a topology map construction method of surface network core resource asset data in an embodiment of the invention;
FIG. 2 is a schematic diagram of electrical entity connection in an embodiment of the present invention;
FIG. 3 is a schematic diagram of virtual node merging in an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a topology map construction device for core resource asset data of a surface distribution network according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device in an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It will be appreciated that prior to using the technical solutions disclosed in the embodiments of the present disclosure, the user should be informed and authorized of the type, usage range, usage scenario, etc. of the personal information related to the present disclosure in an appropriate manner according to the relevant legal regulations.
Example 1
Fig. 1 is a flowchart of a topology map construction method of surface distribution network core resource asset data provided by an embodiment of the present invention, where the embodiment may be applicable to a case of topology map construction of surface distribution network core resource asset data, the method may be performed by a topology map construction device of surface distribution network core resource asset data in the embodiment of the present invention, and the device may be implemented in a software and/or hardware manner, as shown in fig. 1, where the method specifically includes the following steps:
s110, acquiring identification information of each electrical entity in the target electrical entity set.
The identification information of the electrical entity may be information for identifying the identity of the electrical entity, and the identification information of different electrical entities is different.
Wherein the electrical entities in the target electrical entity set are electrical entities for constructing a topology map, and the target electrical entity set may include: core equipment of the distribution network.
Specifically, the manner of obtaining the identification information of each electrical entity in the target electrical entity set may be: and acquiring the identification information of each electric entity in the target electric entity set input by the user. The manner of obtaining the identification information of each electrical entity in the target electrical entity set may be: and capturing identification information of each electrical entity in the target electrical entity set.
S120, inquiring a target table according to the identification information of each electric entity in the target electric entity set to obtain a basic information table corresponding to each electric entity in the target electric entity set.
Wherein the target table comprises: basic information corresponding to at least two types of electrical entities, wherein the basic information table comprises: and (5) encoding connection information.
It should be noted that, in the embodiment of the present invention, the target table includes: and the core business of the distribution network and equipment comb data assets and resources, wherein the data assets comprise resource accounts, asset accounts, topological connection relations and the like of equipment inside and outside a primary station of the distribution network.
Specifically, the method for obtaining the basic information table corresponding to each electric entity in the target electric entity set by querying the target table according to the identification information of each electric entity in the target electric entity set may be: the method comprises the steps of collecting basic information of various electrical equipment in a data source in advance through a message pipeline subscription mode, and combining the basic information of the various electrical equipment to obtain a target table, wherein the target table comprises: and inquiring the target table to obtain a basic information table corresponding to each electric entity in the target electric entity set.
S130, constructing an entity connection relation table according to the identification information of at least two target electric entities with the same connection information codes in the target electric entity set and the connection information codes corresponding to the at least two target electric entities.
Wherein the at least two target electrical entities are electrical entities with the same connection information encoding. The connection information codes corresponding to the at least two target electrical entities are the same connection information codes corresponding to the at least two target electrical entities. For example, if the connection information code corresponding to the electrical entity T1 includes: 816606398 and 816606399, the corresponding connection information code of the electrical entity B1 comprises: 816606433, 816606434, 816606399. The entity connection relation table includes: identification information (T1, B1) and 816606399 of at least two target electrical entities (connection information codes corresponding to the at least two target electrical entities).
Wherein, the entity connection relation table comprises: the connection information code and the identification information of at least two target electrical entities corresponding to the connection information code may be, for example, as shown in table 1:
TABLE 1
| Connection information encoding | Identification information of electrical entity |
| 816606399 | T1,B1 |
| 816606404 | T2,L1 |
| 816606421 | B2,L1 |
| 816606461 | B3,L2,L3 |
Specifically, the method for constructing the entity connection relation table according to the identification information of at least two target electrical entities with the same connection information codes in the target electrical entity set and the connection information codes corresponding to the at least two target electrical entities may be: splitting the connection information code corresponding to each electric entity in the target electric entity set to obtain a half set; combining at least two target electric entities with the same connection information codes in the half set to obtain identification information of at least two target electric entities corresponding to the connection information codes; and constructing an entity connection relation table according to the connection information codes and the identification information of at least two target electric entities corresponding to the connection information codes.
And S140, constructing a topological graph according to the entity connection relation table, the target ontology model, the target connection line model and the target table.
The obtaining mode of the target ontology model may be: and generating a target ontology model according to the ontology model corresponding to the electric entity in the entity connection relation table. The obtaining mode of the target connecting line model may be: and generating a target connecting line model according to the connecting line model corresponding to the electric entity in the entity connection relation table.
Specifically, the method for constructing the topology map according to the entity connection relation table, the target ontology model, the target connection line model and the target table may be as follows: determining a node set and attribute information of each point in the node set according to the target ontology model and the target table; determining edges between nodes according to the entity connection relation table and the target connection line model; and constructing a topological graph according to the node set, the attribute information of each node in the node set and the edges between the nodes.
Optionally, before constructing the topology map according to the entity connection relation table, the target ontology model, the target connection line model and the target table, the method further includes:
obtaining a first ontology model set and a first connection line model set, wherein the ontology model set comprises: and the ontology model corresponding to at least two types of electrical entities, and the connecting line model set comprises: at least one model of connection lines between at least two types of electrical entities;
Inquiring the first ontology model set according to the identification information of the electric entity in the entity connection relation table to obtain a second ontology model set corresponding to the entity connection relation table, and determining a target ontology model according to the second ontology model set, wherein the second ontology model set comprises: an ontology model corresponding to the identification information of the electric entity in the entity connection relation table;
inquiring the first connection line model set according to the identification information of the electric entity in the entity connection relation table to obtain a second connection line model set corresponding to the entity connection relation table, and determining a target connection line model according to the second connection line model set, wherein the second connection line model set comprises: and a connecting line model corresponding to the identification information of the electric entity in the entity connection relation table.
Wherein the first set of ontology models comprises: the body model corresponding to at least two electrical entities among a circuit breaker, an isolating switch, a load switch, a pole tower, a cable section, a cable terminal, a cable joint, a distribution transformer, a used transformer, a fuse, a bus, a voltage transformer, a lightning arrester, a medium voltage user access point, a station in-connection wire, a station out-connection wire, a low voltage span section, a low voltage pole tower, a low voltage pole switch, a low voltage pole isolating switch, a low voltage pole fuse, a low voltage meter box, a low voltage cable section, a low voltage cable terminal, a low voltage cable joint, a low voltage switch, a low voltage bus, a low voltage fuse, a low voltage capacitor, a low voltage isolating switch, a current transformer, a low voltage user access point, a feeder, a strain gauge section, a station room, an inflection point, a span section, a main transformer, a low voltage wall bracket, a pole transformer, a pole breaker, a pole load switch, a pole isolating switch, a pole recloser and a pole fuse.
Wherein, the first connection line model set includes four types of connection line models, respectively: TPlink, DDlink, BHlink and XGlink. Wherein, TPlink (topological link): directly describing the connection relation between devices based on the acquisition of the grid resource asset account data; ddink (schedule link): combining with a power grid operation mode and CIME standard design, and describing the constructed topological connection relation of the electric energy flow; BHlink (inclusion relation): in order to facilitate searching for in-station equipment, merging entities of all station rooms (such as a distribution room, a ring main unit and the like) and establishing connection relations with all primary electric equipment in the station rooms; XGlink (correlation): in order to facilitate batch retrieval and filtration of certain equipment under the feeder, a feeder entity is established, and a connection relation with all equipment in the feeder is established.
It should be noted that TPlink is data that is inherent in, and is obtained from, those processing operations previously described. DDlink, BHlink and XGlink are link models that are otherwise structured to facilitate business applications on the system.
The second ontology model set corresponding to the entity connection relation table comprises: and the entity connection relation table is provided with an ontology model corresponding to the identification information of the target electric entity. The second connection line model set corresponding to the entity connection relation table comprises: and a connecting line model corresponding to the identification information of the target electric entity in the entity connection relation table.
Specifically, the manner of determining the target ontology model according to the second ontology model set may be: and merging the ontology models in the second ontology model set to obtain the target ontology model. The manner of determining the target connection line model from the second set of connection line models may be: and merging the connecting line models in the second connecting line model set to obtain the target connecting line model.
Optionally, constructing a topology map according to the entity connection relation table, the target ontology model, the target connection line model and the target table includes:
determining a node set and attribute information of each point in the node set according to the target ontology model and the target table;
determining edges between nodes according to the entity connection relation table and the target connection line model;
and constructing a topological graph according to the node set, the attribute information of each node in the node set and the edges between the nodes.
Specifically, the determining the edge between the nodes according to the entity connection relation table and the target connection line model may be: and obtaining the connection relation between every two electric entities according to the entity connection relation table, and determining the edges between the nodes according to the connection relation between every two electric entities and the target connecting line model, wherein the connection relation between every two electric entity pieces is shown in figure 2.
Optionally, the entity connection relation table is constructed according to the identification information of at least two target electric entities with the same connection information codes in the target electric entity set and the connection information codes corresponding to the at least two target electric entities, and the method includes:
splitting the connection information code corresponding to each electric entity in the target electric entity set to obtain a half set;
combining at least two target electric entities with the same connection information codes in the half set to obtain identification information of at least two target electric entities corresponding to the connection information codes;
and constructing an entity connection relation table according to the connection information codes and the identification information of at least two target electric entities corresponding to the connection information codes.
Specifically, the method for merging at least two target electrical entities with the same connection information code in the half-edge set to obtain the identification information of at least two target electrical entities corresponding to the connection information code may be: and determining each connection information code in the half-edge set as a virtual node, combining the virtual nodes with the same connection information code as a virtual node, and obtaining identification information of at least two target electric entities corresponding to the connection information code.
It should be noted that, since it is not known in which positions (data tables of several different electrical devices) two adjacent halves are stored respectively, the first step is to collect and store the basic information of each electrical entity in the target electrical entity set into the same temporary data table to obtain a full temporary table. The full temporary table is used as a range of topology map data, and then a connection relationship is built between the full temporary table and the topology map data through equipment 'half'. Splitting the set of half edges (half edges) maps the identification information of the electric entity to each half edge (half edge) to obtain the most detailed mapping relation [ deviceId- > half edge ]. At this time, all the detail relations are grouped and collected according to the half, and a group of data tables which are recorded by the half and used as a main key and are connected with the equipment set can be obtained. The number of elements in the device set field can be one to a plurality, if the elements exist independently, the other end device connected with the element set field cannot be connected within the current range. If there are a plurality of devices, the devices should be connected to each other in pairs.
And mapping each SET row [ half edge- > SET (Device 1, device 2.) ] where each piece of "half edge" is located into two-by-two combined multi-line data of devices connected with the SET row [ half edge- > SET (Device 1, device 2.) ] by using a flash map operator of the rdd object through a Spark computing engine. To this end, the device connection relations of the original data from the presentation layer are stored at both ends of the connection line, respectively, now integrated together, and the data points and the point references are stored in a plurality of places.
The embodiment of the invention adopts a point segmentation mode to construct a topological graph, and the characteristics of a point segmentation mode are single calculation, multi-place storage and quick loading, and the characteristic is combined with an atlas graph high-performance graph database. The method has obvious performance advantages in the whole network topology analysis of the power grid.
In a specific example, as shown in fig. 3, each connection information code in the half-edge set is determined as one virtual node (for example, connection information code 816606398 of T1 is determined as one virtual node of T1, connection information code 816606399 of T1 is determined as another virtual node of T1), and since the connection information codes of the virtual node (connection information code 816606399) of T1 and the virtual node (connection information code 816606399) of B1 are the same, both are 816606399, the virtual node (connection information code 816606399) of T1 and the virtual node (connection information code 816606399) of B1 are combined to obtain identification information (T1 and B1) of at least two target electrical entities corresponding to connection information code 816606399, and the remaining virtual nodes are also combined in the above manner, which is not repeated herein.
In another specific example, the base data for each electrical entity in the set of target electrical entities is shown in tables 2, 3 and 4:
TABLE 2
| Identification information of electrical entity | Type(s) | Connection information encoding |
| T1 | 0302 | 816606398,816606399 |
| T2 | 0302 | 816606404,816606407 |
| T3 | 0302 | 816614253,816614302 |
TABLE 3 Table 3
TABLE 4 Table 4
| Identification information of electrical entity | Type(s) | Connection information encoding |
| L1 | line | 816606404,816606421 |
| L2 | line | 816606461,816606459 |
| L3 | line | 816606461,816606437 |
The data of tables 2, 3 and 4 were combined to give table 5:
TABLE 5
Splitting the connection information codes corresponding to each electrical entity in table 5 to obtain a half set (as shown in table 6):
TABLE 6
| Identification information of electrical entity | Type(s) | Connection information encoding |
| T1 | 0302 | 816606398 |
| T1 | 0302 | 816606399 |
| T2 | 0302 | 816606404 |
| T2 | 0302 | 816606407 |
| T3 | 0302 | 816614253 |
| T3 | 0302 | 816614302 |
| B1 | line | 816606433 |
| B1 | line | 816606434 |
| B1 | line | 816606399 |
| B2-L3 | … | … |
And combining at least two target electrical entities with the same connection information codes in the table 6 to obtain an entity connection relation table, as shown in the table 1.
Optionally, before the target table is queried according to the identification information of each electrical entity in the target electrical entity set to obtain the basic information table corresponding to each electrical entity in the target electrical entity set, the method further includes:
acquiring basic information corresponding to at least two types of electric entities;
and combining the basic information corresponding to the at least two types of electric entities to obtain a target table.
Specifically, the manner of obtaining the basic information corresponding to at least two types of electrical entities may be: and collecting basic information of various electrical equipment in the data source in a message pipeline subscription mode. For example, basic information of 46 types of electrical entities can be obtained.
Specifically, the manner of combining the basic information corresponding to the at least two types of electrical entities to obtain the target table may be: and fusing the basic information corresponding to the at least two types of electric entities together to obtain a target table.
It should be noted that the basic information corresponding to the at least two types of electrical entities may be stored in a distributed data lake.
Optionally, the first ontology model set includes: the body model corresponding to at least two electrical entities among a circuit breaker, an isolating switch, a load switch, a pole tower, a cable section, a cable terminal, a cable joint, a distribution transformer, a used transformer, a fuse, a bus, a voltage transformer, a lightning arrester, a medium voltage user access point, a station in-connection wire, a station out-connection wire, a low voltage span section, a low voltage pole tower, a low voltage pole switch, a low voltage pole isolating switch, a low voltage pole fuse, a low voltage meter box, a low voltage cable section, a low voltage cable terminal, a low voltage cable joint, a low voltage switch, a low voltage bus, a low voltage fuse, a low voltage capacitor, a low voltage isolating switch, a current transformer, a low voltage user access point, a feeder, a strain gauge section, a station room, an inflection point, a span section, a main transformer, a low voltage wall bracket, a pole transformer, a pole breaker, a pole load switch, a pole isolating switch, a pole recloser and a pole fuse.
The station room, the feeder line, the access point and the inflection point are virtual electric entities.
It should be noted that, the current modeling manner is mainly oriented to the actual electrical equipment object, and the virtual electrical entity is a conceptual description and does not necessarily have physical entity correspondence. For example: station building refers to a "container" concept, and many similar power grids, such as a transformer substation, a distribution room, a ring main unit and the like, are generalized into a station building (which can be understood as a building with various power transformation devices such as a transformer, a switch, a cable and the like), and can be distinguished by attributes and labels after modeling.
In addition, because the model is built towards the power grid topology, most of entities for selecting and modeling correspond to physical equipment in reality, such as transformers, switches, cables, towers and the like.
The building mode of the ontology model can be as follows: the body model is constructed according to electrical professional knowledge, service information and investigation data, for example, the body model is constructed by combining data investigation after the rules that a pole tower is connected with the pole tower through a cable, a cable terminal and a cable connector are arranged at the tail end of the cable, a bus is connected with a breaker and a load switch, a transformer is connected with switch equipment and the like are combined.
Because the equipment network frame, the resources and the assets belong to different management systems and different management personnel for maintenance, the system belongs to the current situation that the data island is inconvenient to carry out combined analysis from the point of unified data analysis. Thus, the embodiment of the invention classifies the original classification of the device from coarse-grained features such as: in-station equipment, on-line equipment and the like are changed into equipment resource type classification such as: fine force classification of circuit breakers and transformers. And finding out the corresponding equipment resource table of the finely classified equipment, associating the resource information of the equipment through the equipment resource codes, and then associating the related resource information in the corresponding resource table through the associated resource codes. To match with the upper distribution network an ontology model of the topology.
According to the technical scheme, identification information of each electric entity in the target electric entity set is obtained; inquiring a target table according to the identification information of each electric entity in the target electric entity set to obtain a basic information table corresponding to each electric entity in the target electric entity set, wherein the target table comprises: basic information corresponding to at least two types of electrical entities, wherein the basic information table comprises: encoding connection information; constructing an entity connection relation table according to the identification information of at least two target electric entities with the same connection information codes in the target electric entity set and the corresponding connection information codes of the at least two target electric entities; according to the entity connection relation table, the target ontology model, the target connection line model and the target table, a topology map is constructed, so that the efficiency of constructing the topology map can be improved, and the data management efficiency is further improved.
Example two
Fig. 4 is a schematic structural diagram of a topology map construction device for core resource asset data of a surface distribution network according to an embodiment of the present invention. The embodiment may be applicable to the case of topology map construction of surface distribution network core resource asset data, where the apparatus may be implemented in a software and/or hardware manner, and the apparatus may be integrated in any device that provides a topology map construction function of surface distribution network core resource asset data, as shown in fig. 4, where the topology map construction apparatus of surface distribution network core resource asset data specifically includes: the system comprises an identification information acquisition module 210, a basic information query module 220, an entity connection relation table construction module 230 and a topology map construction module 240.
The identification information acquisition module is used for acquiring the identification information of each electric entity in the target electric entity set;
the basic information query module is configured to query a target table according to identification information of each electrical entity in the target electrical entity set, and obtain a basic information table corresponding to each electrical entity in the target electrical entity set, where the target table includes: basic information corresponding to at least two types of electrical entities, wherein the basic information table comprises: encoding connection information;
The entity connection relation table construction module is used for constructing an entity connection relation table according to the identification information of at least two target electric entities with the same connection information codes in the target electric entity set and the connection information codes corresponding to the at least two target electric entities;
the topology map construction module is used for constructing a topology map according to the entity connection relation table, the target ontology model, the target connection line model and the target table.
The product can execute the method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example III
Fig. 5 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 5, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as topology map construction methods for surface area network core resource asset data.
In some embodiments, the topology map construction method of the surface network core resource asset data may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the topology map construction method of surface area network core resource asset data described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the topology map construction method of the surface-distribution-network core resource asset data in any other suitable manner (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. The topology map construction method of the surface distribution network core resource asset data is characterized by comprising the following steps of:
acquiring identification information of each electrical entity in a target electrical entity set;
inquiring a target table according to the identification information of each electric entity in the target electric entity set to obtain a basic information table corresponding to each electric entity in the target electric entity set, wherein the target table comprises: basic information corresponding to at least two types of electrical entities, wherein the basic information table comprises: encoding connection information;
Constructing an entity connection relation table according to the identification information of at least two target electric entities with the same connection information codes in the target electric entity set and the corresponding connection information codes of the at least two target electric entities;
and constructing a topological graph according to the entity connection relation table, the target ontology model, the target connection line model and the target table.
2. The method of claim 1, further comprising, prior to constructing the topology map from the entity connection relationship table, the target ontology model, the target connection line model, and the target table:
obtaining a first ontology model set and a first connection line model set, wherein the ontology model set comprises: and the ontology model corresponding to at least two types of electrical entities, and the connecting line model set comprises: at least one model of connection lines between at least two types of electrical entities;
inquiring the first ontology model set according to the identification information of the electric entity in the entity connection relation table to obtain a second ontology model set corresponding to the entity connection relation table, and determining a target ontology model according to the second ontology model set, wherein the second ontology model set comprises: an ontology model corresponding to the identification information of the electric entity in the entity connection relation table;
Inquiring the first connection line model set according to the identification information of the electric entity in the entity connection relation table to obtain a second connection line model set corresponding to the entity connection relation table, and determining a target connection line model according to the second connection line model set, wherein the second connection line model set comprises: and a connecting line model corresponding to the identification information of the electric entity in the entity connection relation table.
3. The method of claim 2, wherein constructing a topology map from the entity connection relationship table, the target ontology model, the target connection line model, and the target table comprises:
determining a node set and attribute information of each point in the node set according to the target ontology model and the target table;
determining edges between nodes according to the entity connection relation table and the target connection line model;
and constructing a topological graph according to the node set, the attribute information of each node in the node set and the edges between the nodes.
4. The method according to claim 1, wherein constructing the entity connection relation table from the identification information of at least two target electrical entities having the same connection information codes in the set of target electrical entities and the connection information codes corresponding to the at least two target electrical entities, comprises:
Splitting the connection information code corresponding to each electric entity in the target electric entity set to obtain a half set;
combining at least two target electric entities with the same connection information codes in the half set to obtain identification information of at least two target electric entities corresponding to the connection information codes;
and constructing an entity connection relation table according to the connection information codes and the identification information of at least two target electric entities corresponding to the connection information codes.
5. The method of claim 1, further comprising, prior to querying a target table based on the identification information of each electrical entity in the target set of electrical entities to obtain a base information table corresponding to each electrical entity in the target set of electrical entities:
acquiring basic information corresponding to at least two types of electric entities;
and combining the basic information corresponding to the at least two types of electric entities to obtain a target table.
6. The method of claim 2, wherein the first set of ontology models comprises: the body model corresponding to at least two electrical entities among a circuit breaker, an isolating switch, a load switch, a pole tower, a cable section, a cable terminal, a cable joint, a distribution transformer, a used transformer, a fuse, a bus, a voltage transformer, a lightning arrester, a medium voltage user access point, a station in-connection wire, a station out-connection wire, a low voltage span section, a low voltage pole tower, a low voltage pole switch, a low voltage pole isolating switch, a low voltage pole fuse, a low voltage meter box, a low voltage cable section, a low voltage cable terminal, a low voltage cable joint, a low voltage switch, a low voltage bus, a low voltage fuse, a low voltage capacitor, a low voltage isolating switch, a current transformer, a low voltage user access point, a feeder, a strain gauge section, a station room, an inflection point, a span section, a main transformer, a low voltage wall bracket, a pole transformer, a pole breaker, a pole load switch, a pole isolating switch, a pole recloser and a pole fuse.
7. The topology map construction device for the surface distribution network core resource asset data is characterized by comprising the following components:
the identification information acquisition module is used for acquiring the identification information of each electric entity in the target electric entity set;
the basic information query module is configured to query a target table according to identification information of each electrical entity in the target electrical entity set, and obtain a basic information table corresponding to each electrical entity in the target electrical entity set, where the target table includes: basic information corresponding to at least two types of electrical entities, wherein the basic information table comprises: encoding connection information;
the entity connection relation table construction module is used for constructing an entity connection relation table according to the identification information of at least two target electric entities with the same connection information codes in the target electric entity set and the connection information codes corresponding to the at least two target electric entities;
the topology map construction module is used for constructing a topology map according to the entity connection relation table, the target ontology model, the target connection line model and the target table.
8. The apparatus as recited in claim 7, further comprising:
the model set acquisition module is used for acquiring a first ontology model set and a first connection line model set before constructing a topological graph according to the entity connection relation table, the target ontology model, the target connection line model and the target table, wherein the ontology model set comprises: and the ontology model corresponding to at least two types of electrical entities, and the connecting line model set comprises: at least one model of connection lines between at least two types of electrical entities;
The object ontology model determining module is configured to query the first ontology model set according to identification information of an electrical entity in the entity connection relationship table, obtain a second ontology model set corresponding to the entity connection relationship table, and determine an object ontology model according to the second ontology model set, where the second ontology model set includes: an ontology model corresponding to the identification information of the electric entity in the entity connection relation table;
the target connection line model determining module is configured to query the first connection line model set according to identification information of an electrical entity in the entity connection relation table, obtain a second connection line model set corresponding to the entity connection relation table, and determine a target connection line model according to the second connection line model set, where the second connection line model set includes: and a connecting line model corresponding to the identification information of the electric entity in the entity connection relation table.
9. The apparatus of claim 8, wherein the topology map construction module is specifically configured to:
determining a node set and attribute information of each point in the node set according to the target ontology model and the target table;
determining edges between nodes according to the entity connection relation table and the target connection line model;
And constructing a topological graph according to the node set, the attribute information of each node in the node set and the edges between the nodes.
10. The apparatus of claim 7, wherein the entity connection relationship table construction module is specifically configured to:
splitting the connection information code corresponding to each electric entity in the target electric entity set to obtain a half set;
combining at least two target electric entities with the same connection information codes in the half set to obtain identification information of at least two target electric entities corresponding to the connection information codes;
and constructing an entity connection relation table according to the connection information codes and the identification information of at least two target electric entities corresponding to the connection information codes.
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