阅读说明：本技术 一种多层、多维、多粒度的多网融合建模方法 (Multi-layer, multi-dimensional and multi-granularity multi-network fusion modeling method ) 是由 潘侃 赵现平 刘柱揆 杨政 尹春林 朱华 于 2020-05-20 设计创作，主要内容包括：本申请涉及一种多层、多维、多粒度的多网融合建模方法,包括：S1,构建单层多维网络模型；S2,构建单层多维、多粒度网络模型；S3,多网融合构建多层、多维、网络模型。本申请分别创建电网多维网络、电信网多维网络、广电网多维网络以及互联网多维网络,通过以不同的节点作为粒度单元,构建出多粒度的复杂网络,再通过四种网络之间的关联和耦合关系,对网络层与层之间的相关联的节点进行连接,得到多层、多维、多粒度网络模型,能够有效地揭示四网之间复杂的、潜在的、内在的关联关系,为四网融合应用服务提供基础支撑。(The application relates to a multi-layer, multi-dimensional and multi-granularity multi-network fusion modeling method, which comprises the following steps: s1, constructing a single-layer multi-dimensional network model; s2, constructing a single-layer multi-dimensional and multi-granularity network model; and S3, constructing a multi-layer, multi-dimensional and network model through multi-network fusion. The method comprises the steps of respectively creating a power grid multi-dimensional network, a telecommunication network multi-dimensional network, a broadcast and television network multi-dimensional network and an internet multi-dimensional network, constructing a multi-granularity complex network by taking different nodes as granularity units, and connecting the associated nodes among network layers through the association and coupling relation among the four networks to obtain a multi-layer, multi-dimensional and multi-granularity network model, so that the complex, potential and internal association relation among the four networks can be effectively disclosed, and a basic support is provided for the four-network fusion application service.)

1. A multi-layer, multi-dimensional, multi-granular multi-network fusion modeling method, the method comprising:

constructing a single-layer multi-dimensional network model, wherein the multi-dimensional network comprises a power grid multi-dimensional network, a telecommunication network multi-dimensional network, a broadcasting and television network multi-dimensional network and an internet multi-dimensional network;

constructing a single-layer multi-dimensional and multi-granularity network model, modeling the granularity network based on the multi-dimensional network, and connecting different nodes in each granularity in each multi-dimensional network by using lines by taking different nodes as granularity units;

the multi-network fusion constructs a multi-layer, multi-dimensional and multi-granularity network model, the power grid multi-dimensional network, the telecommunication network multi-dimensional network, the broadcast and television network and the internet multi-dimensional network are connected through the coupling and incidence relation among single network nodes, each single multi-dimensional network forms one layer of the multi-layer network, and the single-layer networks are connected through user nodes or/and equipment nodes.

2. The multi-layer, multi-dimensional, multi-granular, multi-network fusion modeling method of claim 1, characterized in that: the dimensionality of the power grid multi-dimensional network comprises users, cells and power equipment; the dimension of the telecommunication network multidimensional network comprises the user, the cell and telecommunication signal equipment; the dimension of the broadcasting and television network multi-dimensional network comprises the user, the cell and broadcasting and television network signal equipment; the dimensionality of the internet multidimensional network comprises the user, the cell and the internet network device; in each network model, the users are connected by social relations, the users are connected by subordination relations with the cells, and the users, the cells and the equipment are connected by signal transmission lines.

3. The multi-layer, multi-dimensional, multi-granular, multi-network fusion modeling method of claim 1, characterized in that: the power equipment comprises a power station, a distribution station, a transformer and an electric meter which are connected by a power transmission line; the telecommunication signal equipment comprises a base station, a mobile phone and a fixed telephone, and is connected by a telecommunication signal transmission line; the broadcast television network signal equipment comprises a broadcast satellite, a core network node and a user side receiver which are connected by an optical fiber, a cable coaxial cable or a satellite broadcast channel; the Internet network equipment comprises a WEB server, a switch, a router, a modem and a terminal, and is connected by an Internet network transmission line.

4. The multi-layer, multi-dimensional, multi-granular, multi-network fusion modeling method of claim 1, characterized in that: the granularity comprises user granularity or/and time granularity, wherein the user granularity comprises user nodes which take county areas as units, streets as units, enterprises as units, cells as units, families as units or/and individuals as units; the time granularity includes user energy nodes on a year scale, a quarter scale, a ten-day scale, a month scale, a week scale, a day scale, a time scale, a minute scale, or/and a second scale.

5. The multi-layer, multi-dimensional, multi-granular, multi-network fusion modeling method of claim 2, characterized in that: the electric power equipment records the used electric quantity and the used electric time period information of a user; the telecommunication signal equipment records package selection, service activation, telephone charge use and telephone charge balance information of a user; the broadcast television network signal equipment records television channel opening and television on-demand information of a user; the internet signal equipment records the internet operation information of the user, and specifically comprises online shopping, webpage browsing, network flow and network using time.

6. The multi-layer, multi-dimensional, multi-granular, multi-network fusion modeling method of claim 1, characterized in that: g is respectively constructed by the power grid multidimensional network, the telecommunication network multidimensional network, the broadcasting and television network multidimensional network and the internet multidimensional network_E、G_X、G_GAnd G_IAnd constructing a multi-dimensional network communication model, wherein the multi-layer multi-network fusion model is (G-4, C), G-4 represents a single-layer network set comprising four networks, and C represents a connecting edge set between different layers of networks.

Technical Field

The application relates to the technical field of data mining, in particular to a multi-layer, multi-dimensional and multi-granularity multi-network fusion modeling method.

Background

The power optical fiber is used for organically integrating a power grid, a telecommunication network, a broadcast and television network and the Internet, and the conversion from three-network integration to four-network integration is realized. The power grid after four-network integration integrates user data of a broadcast and television network, a telecommunication network and the Internet, power flow, information flow and service flow are highly integrated, a complex system is formed by the data, the core value of the four-network integration is a large database of power energy, the value added value is extremely high, and the strategic significance of the national level is achieved.

The main research methods of the existing complex network comprise single network modeling, a tree structure model, a binary network, a small world model and the like. However, the research methods have certain limitations in analyzing the user data and energy consumption behaviors based on the integration of four networks, namely a power grid, a telecommunication network, a broadcast and television network and the internet. Wherein, all nodes and connecting edges of the single network are homogeneous; the tree structure model is easy to construct, but is too simple, and the network topology of the model is greatly different from the real scene; the bipartite network cannot depict the mutual relation among a plurality of nodes; the small-world model does not satisfy the degree heterogeneity of network nodes. The network models cannot accurately depict multi-layer, multi-dimensional and multi-granularity system data with four networks fused, and cannot effectively support subsequent analysis of complex network characteristics and behavior analysis and mining of complex networks.

Disclosure of Invention

The application provides a multi-layer, multi-dimensional and multi-granularity multi-network fusion modeling method, so that mining, analysis and prediction of four-network fusion user behaviors are facilitated.

The technical scheme adopted by the application is as follows:

the application provides a multi-layer, multi-dimensional and multi-granularity multi-network fusion modeling method, which comprises the following steps:

constructing a single-layer multi-dimensional network model, wherein the multi-dimensional network comprises a power grid multi-dimensional network, a telecommunication network multi-dimensional network, a broadcasting and television network multi-dimensional network or an internet multi-dimensional network;

constructing a single-layer multi-dimensional and multi-granularity network model, modeling the granularity network based on the multi-dimensional network, and connecting each user node in each granularity in each multi-dimensional network by taking different nodes as granularity units;

the multi-network fusion constructs a multi-layer, multi-dimensional and multi-granularity network model, the power grid multi-dimensional network, the telecommunication network multi-dimensional network, the broadcast and television network and the internet multi-dimensional network are connected through the coupling and incidence relation among single network nodes, each single multi-dimensional network forms one layer of the multi-layer network, and the single-layer networks are connected through user nodes or/and equipment nodes.

Further, the dimensions of the power grid multidimensional network comprise users, cells and power equipment; the dimension of the telecommunication network multidimensional network comprises the user, the cell and telecommunication signal equipment; the dimension of the broadcasting and television network multi-dimensional network comprises the user, the cell and broadcasting and television network signal equipment; the dimensionality of the internet multidimensional network comprises the user, the cell and the internet signal equipment; in each network model, the users are connected by social relations, the users are connected with the cells by subordination relations, and the users, the cells and the equipment are connected by signal lines.

Furthermore, the power equipment comprises a power station, a power distribution station, a transformer and an electric meter which are connected by a power line; the telecommunication signal equipment comprises a base station, a mobile phone and a fixed telephone, and is connected by a telecommunication signal line; the broadcast television network signal equipment comprises a broadcast satellite, a core network node and a user side receiver which are connected by an optical fiber, a cable coaxial cable or a satellite broadcast channel; the Internet network equipment comprises a WEB server, a switch, a router, a modem and a terminal, and is connected by an Internet network transmission line.

Further, the granularity includes user granularity or/and time granularity, the user granularity includes user nodes in units of county areas, streets, enterprises, cells, families or/and individuals; the time granularity includes user energy nodes on a year scale, a quarter scale, a ten-day scale, a month scale, a week scale, a day scale, a time scale, a division scale, or/and a second scale.

Further, the electric power equipment records the used electric quantity and the used electric time period information of the user; the telecommunication signal equipment records package selection, service activation, telephone charge use and telephone charge balance information of a user; the broadcast television network signal equipment records television channel opening and television on-demand information of a user; the internet network equipment records the internet operation information of the user, and specifically comprises online shopping, webpage browsing, network flow and network using time.

Further, the grid multidimensional network, the telecommunication network multidimensional network, the broadcasting and television grid multidimensional network and the internet multidimensional network respectively construct G_E、G_X、G_GAnd G_IAnd constructing a multi-dimensional network communication model, wherein the multi-layer multi-network fusion model is (G-4, C), G-4 represents a single-layer network set comprising four networks, and C represents a connecting edge set between different layers of networks.

The technical scheme of the application has the following beneficial effects:

the application provides a multi-layer, multi-dimensional and multi-granularity multi-network fusion modeling method, which comprises the steps of respectively establishing a power grid multi-dimensional network, a telecommunication network multi-dimensional network, a broadcasting and television network multi-dimensional network and an internet multi-dimensional network, constructing a multi-granularity complex network by taking different nodes as granularity units, and connecting the associated nodes between network layers through the association and coupling relation among the four networks to obtain a multi-layer, multi-dimensional and multi-granularity network model. According to the multi-network fusion modeling method, power utilization data, broadcasting and television utilization data, telecommunication utilization data and internet utilization data are comprehensively considered, multiple dimensions such as user information, regional information, equipment information and consumption information are combined, time and user granularity are considered, a multi-layer, multi-dimensional and multi-granularity multi-network fusion modeling method is formed, complex, potential and internal incidence relations among four networks can be effectively disclosed, and basic support is provided for four-network fusion application services.

Drawings

In order to more clearly explain the technical solution of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious to those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.

FIG. 1 is a flow chart of a multi-layer, multi-dimensional, multi-granular, multi-network fusion modeling method;

FIG. 2 is a schematic diagram of a multi-dimensional, multi-granularity network of a power grid;

fig. 3 is a schematic diagram of a multi-layer, multi-dimensional, multi-granularity, multi-network fusion complex network.

Detailed Description

Reference will now be made in detail to embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following examples do not represent all embodiments consistent with the present application. But merely as exemplifications of systems and methods consistent with certain aspects of the application, as recited in the claims.

FIG. 1 is a flow chart of a multi-layer, multi-dimensional, multi-granularity, multi-network fusion modeling method; FIG. 2 is a schematic diagram of a multi-dimensional, multi-granularity network of a power grid; fig. 3 is a schematic diagram of a multi-layer, multi-dimensional, multi-granularity, multi-network fusion complex network.

The application provides a multi-layer, multi-dimensional and multi-granularity multi-network fusion modeling method, which specifically comprises the following steps:

s1: constructing a single-layer multi-dimensional network model, wherein the multi-dimensional network comprises a power grid multi-dimensional network, a telecommunication network multi-dimensional network, a broadcasting and television network multi-dimensional network or an internet multi-dimensional network;

A. the power grid multidimensional network is described by the following formula:

G_E＝[E(v),E(l)]

in the formula G_EThe method is a power grid multi-dimensional network model, and e (v) is a point set in the model, and comprises information nodes of users, cells and the like and power equipment nodes of power stations, distribution stations, transformers, electric meters and the like, wherein the power equipment nodes record power utilization and energy utilization information of the users, for example, the electric meters record information nodes of consumed power, residual power, accumulated used power and the like of the users; e (l) is an edge set in the model, and the nodes of the electric power equipment are connected by electric power transmission lines, such as a power transmission line and a transformer branch; users are connected by social relationships; the user and the cell are connected by the relationship; the users, the cells and the electric equipment are connected by electric transmission lines.

Referring to fig. 2, a schematic diagram of a multi-dimensional and multi-granularity network of a power grid is shown, in which EV represents a node in the network, and if a user 1 and a user 2 belong to the same family, EV1 and EV2 are connected through a social relationship; user 1 and user 2 belong to cell 1(EV4), and EV1 and EV2 are connected to EV4 through a subordinate relationship, respectively; user 3 belongs to cell 2(EV5), EV3 connects with EV5 through affiliation; the electric equipment 1, the electric equipment 2, the electric equipment 3 and the electric equipment 4 are respectively a power station, a distribution station, a transformer and an electric meter, and are connected through electric transmission lines, so that the EV6 is connected with the EV7, the EV7 is connected with the EV8, and the EV8 is connected with the EV 9; if the electric equipment 4, namely the electric meter belongs to the user 3, the EV9 is connected with the EV 3; if the electric power equipment 3, i.e., the transformer belongs to the cell 2(EV5), EV8 is connected to EV 5.

The whole EV set represents the operation flow of a brief power grid, and the simple and easy description describes that the power in the power grid network is organically fused with individuals, families, enterprises and cells in various ways. Similarly, the construction modes of the internet, the telecommunication network and the broadcast and television network are similar to the construction mode of the power network, and the next multi-granularity network construction is carried out after the single-layer multi-dimensional network is constructed

B. Description of a telecommunications network using the following formula

G_X＝[X(v),X(l)]

In the formula G_XFor a telecommunication network multidimensional network model, X (v) is a point set in the model, and comprises information nodes such as users and cells and telecommunication signal equipment nodes such as all base stations and terminals, wherein the information nodes such as telephone charge use, telephone charge residue, package selection, service opening and package use of the users are recorded on the signal equipment; x (l) is an edge set in the model, and the signal devices are connected by a telecommunication signal transmission line; the user and the cell are connected by the relationship; the users, the cells and the telecommunication signal equipment are connected by telecommunication signal transmission lines.

C. The multi-dimensional network of the broadcasting and television network is described by adopting the following formula

G_G＝[G(v),G(l)]

In the formula G_GThe model is a broadcast television network multidimensional network model, G (v) is a point set in the model, and comprises information nodes such as users and cells, and broadcast television network signal equipment such as all broadcast satellites, core network nodes and user side receivers, wherein the broadcast television network signal equipment records information such as television channel opening and television on demand of the users; g (l) is an edge set in the model, and signal devices of the broadcast television network are connected by a broadcast signal transmission line, such as an optical fiber, a cable coaxial cable, a satellite broadcast channel and the like; the user and the cell are connected by the relationship; the users, the cells and the signal equipment of the broadcast television network are connected by a broadcast signal transmission line.

D. Describing an internet network in the following manner

G_I＝[I(v),I(l)]

In the formula G_IFor the internet network model, i (v) is a point set in the model, including information nodes such as users, cells, and all internet network devices, wherein the network devices record the internet operation information of users, such as shopping, web browsing, network traffic, and network timeThe middle section, etc.; i (l) is an edge set in the model, and network nodes are connected by an internet network transmission line, such as an optical fiber and the like; the user and the cell are connected by the relationship; the user, the cell and the internet network equipment are connected by an internet network transmission line.

S2: constructing a single-layer multi-dimensional and multi-granularity network model, modeling the granularity network based on the multi-dimensional network, and connecting each user node in each granularity in each multi-dimensional network by using a line by taking different nodes as granularity units:

the connection mode between networks with different granularities is as follows:

let ub denote a node in the macro network, { us₁,us₂,…,us_nRepresents a refined description of ub in the micro network, ub to us are created₁Ub to us₂… …, ub to us_nThe line between them. For example: granularity user granularity or/and time granularity, wherein the user granularity comprises user nodes which take county areas as units, streets as units, enterprises as units, cells as units, families as units or/and individuals as units; the time granularity includes user energy nodes on a year scale, a quarter scale, a ten-day scale, a month scale, a week scale, a day scale, a time scale, a division scale, or/and a second scale.

S3: the multi-network fusion model is (G-4, C), G-4 represents a single-layer network set comprising four networks, and C represents a connecting edge set between different layers of networks.

The connection modes of different layer networks can be seen in the following examples:

A. for any two-layer network, letv₁Indicates a certain user node in the first network layer, and the user is set as u₁，v₂Indicates a user node in the second network layer, and sets the user as u₂If u is₁、u₂Representing the same user, v will be₁、v₂And (4) connecting. The connection mode of the cell is the same as that of the user, if nodes exist in the two-layer network and represent the same cell, the two nodes are connected;

B. in a telecommunication network, a broadcasting and television network and an internet network, if nodes in two layers of networks represent the same equipment or two kinds of equipment are coupled, connecting the corresponding two nodes;

C. the power grid, the telecommunication network, the broadcasting network and the internet can be organically integrated by implementing intelligent power grid engineering such as power optical fiber home-entry and the like, referring to fig. 3, in a power grid network layer, an EV2 represents a power grid user node, in a telecommunication network layer, an XV2 represents a telecommunication network user node, if an EV2 and an XV2 represent the same user, the EV2 and the XV2 are connected, and the connection mode of a cell is the same as that of the user; in addition, if the nodes in the two-layer network indicate that the same device or two devices are coupled, and both EV6 and XV9 indicate power line communication modems, the corresponding two nodes are connected. The power grid is similar to the organic integration of the broadcast and television network and the internet and the telecommunication network, and can be integrated through the smart power grid engineering.

According to the multi-layer, multi-dimensional and multi-granularity multi-network fusion modeling method, multi-dimensional means that nodes with different dimensions such as users, cells and equipment are contained in a network, the network nodes are heterogeneous, and the nodes with different properties are connected. The multi-layer network refers to a power grid network, a telecommunication network, a broadcasting and television network and an internet network which are respectively used as one layer of the network, the same nodes or the nodes with coupling relation exist among the network layers, and the layers are connected through the nodes with the coupling relation. The multi-granularity is a network formed by taking nodes with different granularities as minimum units in the network from a macro-level to a micro-level, the macro-level is a network constructed from a large and global angle, the network describes the whole condition of the whole system, the micro-level is a network constructed from a fine angle, the network details a certain node in the macro-level to form a clearer description of the power utilization and energy utilization condition of a user, the complex, potential and internal incidence relation between the four networks is effectively disclosed, and a basic support is provided for the four-network fusion application service.

The embodiments provided in the present application are only a few examples of the general concept of the present application, and do not limit the scope of the present application. Any other embodiments extended according to the scheme of the present application without inventive efforts will be within the scope of protection of the present application for a person skilled in the art.