Electric power communication network risk assessment method and system based on ultra-dense networking

Abstract

The invention discloses an electric power communication network risk assessment method and system based on ultra-dense networking, and relates to the technical field of electric power communication, and the method comprises the steps: determining target region information, and collecting an electric power communication network structure and ultra-dense networking node position information; constructing a coordinate system by taking a node near the geometric center of the edge ultra-dense networking node connecting line area as an original point; then selecting a to-be-evaluated node and M adjacent nodes thereof; a first risk assessment influence index and a second risk assessment influence index are respectively calculated by acquiring information such as a node coverage area and a base station type; and integrating the indexes and communication quality related indexes to determine a communication quality index so as to assess the risk of the target area. The system comprises a data acquisition module, a coordinate system construction module, a node selection and analysis module, a communication quality evaluation module and a display module, and the modules work cooperatively to realize an evaluation function. The method and the system can effectively evaluate the risk of the power communication network, and help to improve the reliability and the safety of the network.

Description

Technical Field

[0001] The present invention relates to the field of power communication technology, and in particular to a power communication network risk assessment method and system based on ultra-dense networking. Background Art

[0002] In the field of power communications, the continuous expansion of power systems and growing service demands are placing higher demands on the performance and reliability of communication networks. While ultra-dense networking technology can improve network capacity and coverage, it also introduces new challenges, such as complex interference between base stations and difficult node management, increasing the risks of power communications networks.

[0003] The existing power communication network risk assessment method and system based on ultra-dense networking ignores the overlapping effect of node coverage areas and the impact of user density distribution on risk. At the same time, the node layout is not optimized, resulting in the assessment results being affected by node distribution deviation. Therefore, it is necessary to provide a power communication network risk assessment method and system based on ultra-dense networking to solve the above-mentioned problems. Summary of the Invention

[0004] In order to solve the above technical problems, a method and system for risk assessment of electric power communication network based on ultra-dense networking is provided. This technical solution solves the problem that the existing risk assessment method and system for electric power communication network based on ultra-dense networking proposed in the above background technology ignores the overlapping effect of node coverage area and the impact of user density distribution on risk, and does not optimize the node layout, resulting in the problem that the assessment results are affected by node distribution deviation.

[0005] In order to achieve the above objects, the technical solution adopted by the present invention is:

[0006] A risk assessment method for power communication networks based on ultra-dense networking, comprising:

[0007] S1. Determine the target area information, collect the power communication network structure information, determine the ultra-dense network node location information, the target area information is the geographical location information of the power communication network area to be risk assessed, the ultra-dense network node location information corresponds to the base station location information within the target area;

[0008] S2. Based on the ultra-dense networking node position information, connect all edge ultra-dense networking nodes to obtain the geometric center position of the connection area, and construct a plane rectangular coordinate system with the position of the ultra-dense networking node closest to the geometric center position of the connection area as the origin;

[0009] S3. Select any ultra-dense networking node i in the plane rectangular coordinate system as the node to be risk assessed, and simultaneously obtain M ultra-dense networking nodes adjacent to the ultra-dense networking node i as associated nodes to be risk assessed;

[0010] S4. Obtain the maximum communication network coverage area corresponding to the risk assessment node and the associated node to be risk assessed, and obtain the first risk assessment impact index;

[0011] S5. Get the base station type information corresponding to the risk assessment node and the associated node to be risk assessed, and obtain the second risk assessment impact index;

[0012] S6. Based on the node to be risk-assessed and the associated node to be risk-assessed, obtain a communication quality index of the target area, and perform risk assessment on the target area using the communication quality index.

[0013] In an optional embodiment, step S2 specifically includes:

[0014] In GIS, an original plane coordinate system is constructed, and all ultra-dense network nodes at the edge of the target area are connected in sequence in the original plane coordinate system to form a closed polygonal area;

[0015] Based on the polygon center calculation method, the geometric center position of the closed polygon area is obtained;

[0016] Among all ultra-dense network nodes, find the node closest to the geometric center, set the position of this node as the origin, establish a plane rectangular coordinate system, and simultaneously determine the coordinates of all ultra-dense network nodes in the plane rectangular coordinate system;

[0017] The geometric center position of the polygonal area is determined as follows:

[0018] S2.1. Assume that the set of ultra-dense network nodes at the edge is E = {e1, e2, ..., e n};

[0019] S2.2. Select a node e from all ultra-dense network nodes in the target area j , the coordinates in the original plane coordinate system are (x j ,y j );

[0020] S2.3. Coordinates of the geometric center position (x g ,y g ) is calculated as:

[0021]

[0022] Find the distance from the geometric center (x g ,y g )Nearest node n min As the origin, other nodes n j The coordinates in the plane rectangular coordinate system are (xj ′,y i ′)=(x j -x min ,y j -y min ), where (x min ,y min ) is node n min The original coordinates in the original plane coordinate system.

[0023] In an optional embodiment, step S3 specifically includes:

[0024] In the plane rectangular coordinate system, select any ultra-dense network node i as the node e to be risk assessed i , and its coordinates in the plane rectangular coordinate system are (x i ′,y i ′);

[0025] Get the node e to be risk assessed i base station type information to determine its maximum communication network coverage and minimum communication network coverage;

[0026] Get the node e to be risk assessed i The difference between the maximum communication network coverage and the minimum communication network coverage is multiplied by 0.5 to obtain the search radius value of the adjacent ultra-dense networking node;

[0027] Waiting for risk assessment node e i The search radius of the adjacent ultra-dense networking nodes is the radius to obtain the search area of ​​the adjacent ultra-dense networking nodes;

[0028] In the search area of ​​adjacent ultra-dense network nodes, obtain all nodes except the node to be risk assessed e i All other ultra-dense networking nodes are taken as the M ultra-dense networking nodes adjacent to the ultra-dense networking node i, and the associated nodes to be risk assessed are obtained;

[0029] The coordinates of the node to be risk assessed in the plane rectangular coordinate system are (x m ′,y m ′)(m∈M).

[0030] In an optional embodiment, step S4 specifically includes:

[0031] Geometrically superimpose the maximum communication network coverage area of ​​the node to be risk assessed and the maximum communication network coverage area of ​​the associated node to be risk assessed to obtain the maximum impact area to be risk assessed;

[0032] Obtain the peak number of users within the maximum impact area to be risk assessed, and simultaneously obtain the peak number of users within the maximum communication network coverage area of ​​the node to be risk assessed and the peak number of users within the maximum communication network coverage area of ​​the associated node to be risk assessed;

[0033] Sequentially obtain the maximum communication network coverage area of ​​the node to be risk assessed and the overlapping area of ​​the maximum communication network coverage areas of M associated nodes to be risk assessed;

[0034] Obtaining the peak number of users in the overlapping area of ​​the maximum communication network coverage area of ​​the node to be risk assessed and the maximum communication network coverage areas of the M associated nodes to be risk assessed;

[0035] Determine the first risk assessment impact index:

[0036]

[0037] Where S i,m is the quantitative value of the overlapping area of ​​the maximum communication network coverage area of ​​the node i to be risk assessed and the maximum communication network coverage area of ​​the mth associated node to be risk assessed, U i,m is the quantitative value of the peak number of users in the overlapping area of ​​the maximum communication network coverage area of ​​the node i to be risk assessed and the maximum communication network coverage area of ​​the mth associated node to be risk assessed, U i is the quantitative value of the peak number of users in the maximum communication network coverage area of ​​the node i to be risk assessed, U total is the quantitative value of the maximum impact area to be assessed for risk, S i is the quantitative value of the area value of the maximum communication network coverage area of ​​the node i to be risk assessed, which is, S m is the quantitative value of the area of ​​the maximum communication network coverage area of ​​the mth node to be risk assessed, U m It is the quantitative value of the peak number of users in the maximum communication network coverage area of ​​the mth node associated with the risk assessment.

[0038] In an optional embodiment, step S5 specifically includes:

[0039] Obtain base station type information corresponding to the node to be risk assessed and the associated node to be risk assessed, including macro base stations, micro base stations, and pico base stations;

[0040] Obtain network performance indicators, reliability indicators, and security indicators of base stations corresponding to the node to be risk assessed and the associated node to be risk assessed, and simultaneously normalize the network performance indicators, reliability indicators, and security indicators;

[0041] Determine the second risk assessment impact index:

[0042]

[0043] Where, ω i is the base station type weight corresponding to the node i to be risk assessed, ω m is the base station type weight corresponding to the mth node to be risk assessed, W i is the network performance index of the base station corresponding to the node i to be risk assessed, K i is the reliability index of the base station corresponding to the node i to be risk assessed, A i is the security index of the base station corresponding to the node i to be risk assessed, W m is the network performance index of the base station corresponding to the mth node to be risk assessed, K m is the reliability index of the base station corresponding to the mth node to be risk assessed, A m is the security index of the base station corresponding to the mth associated node to be risk assessed.

[0044] In an optional embodiment, step S6 specifically includes:

[0045] Obtaining base station type weights corresponding to the node to be risk assessed and the associated node to be risk assessed;

[0046] Obtain communication quality related indicators of the node to be risk assessed and the associated nodes to be risk assessed, including signal strength, interference level, data transmission rate and delay;

[0047] Determine the communication quality index of the target area based on the first risk assessment impact index and the second risk assessment impact index corresponding to the node to be risk assessed, the base station type weight and the communication quality-related index corresponding to the node to be risk assessed and the associated node to be risk assessed;

[0048] Set a risk level threshold and conduct a risk assessment on the target area based on the communication quality index of the target area;

[0049] The calculation formula of the communication quality index of the target area is:

[0050]

[0051] Where CI is the communication quality index of the target area, γ1, γ2 and γ3 are weight coefficients, q i is the quantitative value of the communication quality related indicators of the node i to be risk assessed, q m is the quantitative value of the communication quality related indicators of the mth node to be risk assessed, ω i is the base station type weight corresponding to the node i to be risk assessed, ω m is the base station type weight corresponding to the mth node to be risk assessed.

[0052] Furthermore, a power communication network risk assessment system based on ultra-dense networking is proposed, which is used to implement any of the above-mentioned assessment methods, including:

[0053] A data acquisition module is used to determine target area information, collect power communication network structure information, and determine ultra-dense network node location information;

[0054] A coordinate system construction module is used to connect all edge ultra-dense networking nodes based on the ultra-dense networking node position information, obtain the geometric center position of the connection area, and construct a plane rectangular coordinate system with the position of the ultra-dense networking node closest to the geometric center position of the connection area as the origin;

[0055] A node selection and analysis module, wherein the node selection and analysis module is used to select any ultra-dense networking node i in a plane rectangular coordinate system as a node to be risk assessed, and simultaneously obtain M ultra-dense networking nodes adjacent to the ultra-dense networking node i as associated nodes to be risk assessed, and is used to respectively obtain the maximum communication network coverage area corresponding to the node to be risk assessed and the associated node to be risk assessed, and obtain a first risk assessment impact index, and is also used to respectively obtain base station type information corresponding to the node to be risk assessed and the associated node to be risk assessed, and obtain a second risk assessment impact index;

[0056] A communication quality assessment module, configured to obtain a communication quality index of a target area based on the node to be risk assessed and the associated node to be risk assessed, and perform risk assessment on the target area using the communication quality index;

[0057] A display module is used to present the risk assessment results to the user in an intuitive manner.

[0058] In an optional embodiment, the data acquisition module includes:

[0059] a target area information acquisition unit, the target area information acquisition unit being used to determine target area information;

[0060] A network structure information acquisition unit, configured to collect power communication network structure information;

[0061] An ultra-dense networking node position acquisition unit is used to determine ultra-dense networking node position information.

[0062] In an optional embodiment, the origin determination and coordinate system construction unit includes:

[0063] An edge node connection and geometric center calculation unit, which is used to connect all edge ultra-dense networking nodes based on ultra-dense networking node position information and obtain the geometric center position of the connection area;

[0064] The origin determination and coordinate system construction unit is used to construct a plane rectangular coordinate system with the position of the ultra-dense networking node closest to the geometric center position of the connection area as the origin.

[0065] In an optional embodiment, the node selection and analysis module includes:

[0066] A node selection unit, wherein the node selection unit is used to select any ultra-dense networking node i in a plane rectangular coordinate system as a node to be risk assessed, and simultaneously obtain M ultra-dense networking nodes adjacent to the ultra-dense networking node i as associated nodes to be risk assessed;

[0067] A coverage area analysis unit, configured to respectively obtain the maximum communication network coverage area corresponding to the node to be risk assessed and the associated node to be risk assessed, and obtain a first risk assessment impact index;

[0068] The base station type analysis unit is used to respectively obtain base station type information corresponding to the node to be risk assessed and the associated node to be risk assessed, and obtain a second risk assessment impact index.

[0069] Compared with the prior art, the present invention has the following beneficial effects:

[0070] This proposal proposes a risk assessment method for power communication networks based on ultra-dense networking. By calculating the maximum overlap area of ​​the coverage area of ​​the node to be assessed and its associated nodes, it quantifies the cumulative effect of user density in the overlapping area on risk. It also introduces a first risk assessment impact index that integrates the combined impact of coverage area, number of users, and overlapping area to more accurately assess local risks.

[0071] This proposal proposes a risk assessment method for power communication networks based on ultra-dense networking. Edge nodes are connected to form a polygon, and the geometric center is taken as the origin of the coordinate system to ensure that the coordinate system can evenly cover the entire target area. The search radius of adjacent nodes is dynamically adjusted according to the node type (such as macro base station and micro base station) to avoid missing key nodes. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] Figure 1 This is a flow chart of a power communication network risk assessment method based on ultra-dense networking proposed by the present invention;

[0073] Figure 2 This is a flow chart for obtaining the first risk assessment impact index in the present invention;

[0074] Figure 3 This is a flow chart for obtaining the second risk assessment impact index in the present invention;

[0075] Figure 4 This is a system framework diagram of a power communication network risk assessment method system based on ultra-dense networking proposed in the present invention. DETAILED DESCRIPTION

[0076] The following description is intended to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are merely examples, and those skilled in the art may conceive of other obvious variations.

[0077] Reference Figure 1 - Figure 4 As shown, a risk assessment method for power communication networks based on ultra-dense networking includes:

[0078] S1. Determine the target area information, collect the power communication network structure information, determine the ultra-dense network node location information, the target area information is the geographical location information of the power communication network area to be risk assessed, and the ultra-dense network node location information corresponds to the base station location information within the target area;

[0079] S2. Based on the ultra-dense networking node position information, connect all edge ultra-dense networking nodes to obtain the geometric center position of the connection area, and construct a plane rectangular coordinate system with the position of the ultra-dense networking node closest to the geometric center position of the connection area as the origin;

[0080] Step S2 specifically includes:

[0081] In GIS, an original plane coordinate system is constructed, and all ultra-dense network nodes at the edge of the target area are connected in sequence in the original plane coordinate system to form a closed polygonal area;

[0082] Based on the polygon center calculation method, the geometric center position of the closed polygon area is obtained;

[0083] Among all ultra-dense network nodes, find the node closest to the geometric center, set the position of this node as the origin, establish a plane rectangular coordinate system, and simultaneously determine the coordinates of all ultra-dense network nodes in the plane rectangular coordinate system;

[0084] The geometric center position of the polygonal area is determined as follows:

[0085] S2.1. Assume that the set of ultra-dense network nodes at the edge is E = {e1, e2, ..., e n};

[0086] S2.2. Select a node e from all ultra-dense network nodes in the target area j , the coordinates in the original plane coordinate system are (x j ,y j );

[0087] S2.3. Coordinates of the geometric center position (x g ,y g ) is calculated as:

[0088]

[0089] Find the distance from the geometric center (x g ,y g )Nearest node n min As the origin, other nodes n j The coordinates in the plane rectangular coordinate system are (x j ′,y i ′)=(x j -x min ,y j -y min ), where (x min ,y min ) is node n min The original coordinates in the original plane coordinate system.

[0090] Specifically, the base station location data of the power communication network (i.e., the latitude and longitude or plane coordinates of the ultra-dense networking nodes) is imported into the geographic information system (GIS) to form a spatial data layer. In the original plane coordinate system, all ultra-dense networking nodes at the edge of the target area are connected in sequence to form a closed polygonal area. A spatial analysis algorithm (such as a convex hull algorithm, a buffer analysis, or a density-based clustering algorithm) is used to identify the edge nodes in the target area. For example, the convex hull algorithm can generate the minimum convex polygon surrounding all nodes, and the nodes located on the convex hull are edge nodes. When constructing a closed polygonal area, the edge nodes are arranged in a clockwise or counterclockwise order to form a closed loop. The spatial topology analysis function of GIS can be used to automatically connect adjacent edge nodes, and the sorted nodes are connected in sequence to form a closed polygonal area (such as a triangle, quadrilateral, or other irregular polygon).

[0091] It can be understood that the geometric center is the arithmetic average position of the coordinates of all the vertices of the polygon, representing the "center of gravity" of the area.

[0092] S3. Select any ultra-dense networking node i in the plane rectangular coordinate system as the node to be risk assessed, and simultaneously obtain M ultra-dense networking nodes adjacent to the ultra-dense networking node i as associated nodes to be risk assessed;

[0093] Step S3 specifically includes:

[0094] In the plane rectangular coordinate system, select any ultra-dense network node i as the node e to be risk assessed i , and its coordinates in the plane rectangular coordinate system are (x i ′,y i ′);

[0095] Get the node e to be risk assessed i base station type information to determine its maximum communication network coverage and minimum communication network coverage;

[0096] Get the node e to be risk assessed i The difference between the maximum communication network coverage and the minimum communication network coverage is multiplied by 0.5 to obtain the search radius value of the adjacent ultra-dense networking node;

[0097] Waiting for risk assessment node e i The search radius of the adjacent ultra-dense networking nodes is the radius to obtain the search area of ​​the adjacent ultra-dense networking nodes;

[0098] In the search area of ​​adjacent ultra-dense network nodes, obtain all nodes except the node to be risk assessed e i All other ultra-dense networking nodes are taken as the M ultra-dense networking nodes adjacent to the ultra-dense networking node i, and the associated nodes to be risk assessed are obtained;

[0099] The coordinates of the node to be risk assessed in the plane rectangular coordinate system are (x m ′,y m ′)(m∈M).

[0100] Specifically, when selecting the node to be evaluated, the coordinates of all ultra-dense network nodes (base stations) in the plane rectangular coordinate system are input into the evaluation system. Then a node e is selected randomly or according to specific rules (such as grid center, high-load node). i , whose coordinates are (x i ′,y i ′). When obtaining the base station type and coverage, the base station type can be read from the database node e i The type of base station (such as macro base station, micro base station, pico base station) has different coverage capabilities. Coverage range calculation: Maximum coverage range: The maximum theoretical coverage radius calculated based on base station transmission power, antenna height and other parameters (such as macro base station coverage of 5 kilometers). Minimum coverage range: The effective minimum coverage radius caused by obstacles or interference in actual deployment (such as micro base station coverage of 300 meters). When demarcating the search area, a geometric search is used, with node e iDraw a circular area with r (the search radius of adjacent ultra-dense networking nodes) as the center and covering the adjacent nodes that may communicate with it. In the search area, exclude node e i It selects the remaining nodes as the associated node set M.

[0101] S4. Obtain the maximum communication network coverage area corresponding to the risk assessment node and the associated node to be risk assessed, and obtain the first risk assessment impact index;

[0102] Step S4 specifically includes:

[0103] Geometrically superimpose the maximum communication network coverage area of ​​the node to be risk assessed and the maximum communication network coverage area of ​​the associated node to be risk assessed to obtain the maximum impact area to be risk assessed;

[0104] Obtain the peak number of users within the maximum impact area to be risk assessed, and simultaneously obtain the peak number of users within the maximum communication network coverage area of ​​the node to be risk assessed and the peak number of users within the maximum communication network coverage area of ​​the associated node to be risk assessed;

[0105] Sequentially obtain the maximum communication network coverage area of ​​the node to be risk assessed and the overlapping area of ​​the maximum communication network coverage areas of M associated nodes to be risk assessed;

[0106] Obtaining the peak number of users in the overlapping area of ​​the maximum communication network coverage area of ​​the node to be risk assessed and the maximum communication network coverage areas of the M associated nodes to be risk assessed;

[0107] Determine the first risk assessment impact index:

[0108]

[0109] Where S i,m is the quantitative value of the overlapping area of ​​the maximum communication network coverage area of ​​the node i to be risk assessed and the maximum communication network coverage area of ​​the mth associated node to be risk assessed, U i,m is the quantitative value of the peak number of users in the overlapping area of ​​the maximum communication network coverage area of ​​the node i to be risk assessed and the maximum communication network coverage area of ​​the mth associated node to be risk assessed, U i is the quantitative value of the peak number of users in the maximum communication network coverage area of ​​the node i to be risk assessed, U total is the quantitative value of the maximum impact area to be assessed for risk, S i is the quantitative value of the area value of the maximum communication network coverage area of ​​the node i to be risk assessed, which is, S m is the quantitative value of the area of ​​the maximum communication network coverage area of ​​the mth node to be risk assessed, U mIt is the quantitative value of the peak number of users in the maximum communication network coverage area of ​​the mth node associated with the risk assessment.

[0110] Specifically, when obtaining coverage area information, the node to be evaluated e i and associated node e m The base station type and maximum / minimum coverage range are input into the evaluation system. Based on the base station type (such as macro base station, micro base station) and coverage range parameters (maximum / minimum radius), the corresponding circular coverage area (or approximate polygon) is generated. For example, the coverage radius of the macro base station is 5km and that of the micro base station is 300m. Circular areas with radii of 5km and 300m are generated respectively. To calculate the intersection area of ​​the two circular coverage areas, the geometric formula can be used to calculate the intersection area of ​​the two circles (the relationship between the center distance and the radius needs to be determined). For example:

[0111]

[0112] Where d is the distance between the centers of the two circles, r i , r m are the radii of the two circles.

[0113] It is understandable that when calculating the overlapping area and the number of users, it is necessary to calculate node by node, and for each associated node e m , repeat steps 2-3 to get all S i,m and U i,m .

[0114] S5. Get the base station type information corresponding to the risk assessment node and the associated node to be risk assessed, and obtain the second risk assessment impact index;

[0115] Step S5 specifically includes:

[0116] Obtain base station type information corresponding to the node to be risk assessed and the associated node to be risk assessed, including macro base stations, micro base stations, and pico base stations;

[0117] Obtain network performance indicators, reliability indicators, and security indicators of base stations corresponding to the node to be risk assessed and the associated node to be risk assessed, and simultaneously normalize the network performance indicators, reliability indicators, and security indicators;

[0118] Determine the second risk assessment impact index:

[0119]

[0120] Where, ω i is the base station type weight corresponding to the node i to be risk assessed, ω m is the base station type weight corresponding to the mth node to be risk assessed, W iis the network performance index of the base station corresponding to the node i to be risk assessed, K i is the reliability index of the base station corresponding to the node i to be risk assessed, A i is the security index of the base station corresponding to the node i to be risk assessed, W m is the network performance index of the base station corresponding to the mth node to be risk assessed, K m is the reliability index of the base station corresponding to the mth node to be risk assessed, A m is the security index of the base station corresponding to the mth associated node to be risk assessed.

[0121] Specifically, when classifying base station types, it is necessary to classify the node to be evaluated as i and associated node e m The base station identifier (such as device model and configuration parameters) is entered into the evaluation system. The classification criteria are: macro base stations: wide coverage (>1km), high traffic carrying capacity, and high reliability requirements; micro base stations: medium coverage (100m to 1km), used to fill blind spots in hotspots; and pico base stations: minimal coverage (<100m), deployed indoors or in dense urban areas. The evaluation system then assigns a type label (macro, micro, pico) and corresponding weight to each node.

[0122] S6. Based on the node to be risk-assessed and the associated node to be risk-assessed, obtain a communication quality index of the target area, and perform risk assessment on the target area using the communication quality index.

[0123] Step S6 specifically includes:

[0124] Obtaining base station type weights corresponding to the node to be risk assessed and the associated node to be risk assessed;

[0125] Obtain communication quality related indicators of the node to be risk assessed and the associated nodes to be risk assessed, including signal strength, interference level, data transmission rate and delay;

[0126] Determine the communication quality index of the target area based on the first risk assessment impact index and the second risk assessment impact index corresponding to the node to be risk assessed, the base station type weight and the communication quality-related index corresponding to the node to be risk assessed and the associated node to be risk assessed;

[0127] Set a risk level threshold and conduct a risk assessment on the target area based on the communication quality index of the target area;

[0128] The calculation formula of the communication quality index of the target area is:

[0129]

[0130] Where CI is the communication quality index of the target area, γ1, γ2 and γ3 are weight coefficients, qi is the quantitative value of the communication quality related indicators of the node i to be risk assessed, q m is the quantitative value of the communication quality related indicators of the mth node to be risk assessed, ω i is the base station type weight corresponding to the node i to be risk assessed, ω m is the base station type weight corresponding to the mth node to be risk assessed.

[0131] Specifically, a risk level threshold is set, and the target area is risk assessed in combination with the communication quality index of the target area. γ1, γ2, and γ3 are weight coefficients used to balance the contribution of the communication quality index, the first risk assessment impact index, and the second risk assessment impact index to the communication quality index. low 、CI medium 、CI high ) comparison, divide the risk level: when CI≤CI low When the risk level is low; when CI low <CI≤CI medium When CI>CI medium , the risk level is high.

[0132] Furthermore, a power communication network risk assessment system based on ultra-dense networking is proposed, which is used to implement any of the above-mentioned assessment methods, including:

[0133] Data acquisition module, which is used to determine target area information, collect power communication network structure information, and determine the location information of ultra-dense network nodes;

[0134] A coordinate system construction module is used to connect all edge ultra-dense networking nodes based on the ultra-dense networking node position information, obtain the geometric center position of the connection area, and construct a plane rectangular coordinate system with the ultra-dense networking node position closest to the geometric center position of the connection area as the origin;

[0135] The node selection and analysis module is used to select any ultra-dense networking node i in a plane rectangular coordinate system as a node to be risk assessed, and simultaneously obtain M ultra-dense networking nodes adjacent to the ultra-dense networking node i as associated nodes to be risk assessed, and is used to respectively obtain the maximum communication network coverage area corresponding to the node to be risk assessed and the associated node to be risk assessed, and obtain a first risk assessment impact index, and is also used to respectively obtain base station type information corresponding to the node to be risk assessed and the associated node to be risk assessed, and obtain a second risk assessment impact index;

[0136] The communication quality assessment module is used to obtain the communication quality index of the target area based on the node to be risk assessed and the associated node to be risk assessed, and perform risk assessment on the target area based on the communication quality index;

[0137] Display module: The display module is used to present the risk assessment results to the user in an intuitive manner.

[0138] Furthermore, the data acquisition module includes:

[0139] A target area information acquisition unit, the target area information acquisition unit is used to determine target area information;

[0140] A network structure information collection unit, which is used to collect power communication network structure information;

[0141] The ultra-dense networking node position acquisition unit is used to determine the ultra-dense networking node position information.

[0142] Furthermore, the origin determination and coordinate system construction unit includes:

[0143] The edge node connection and geometric center calculation unit is used to connect all edge ultra-dense networking nodes based on the ultra-dense networking node position information and obtain the geometric center position of the connection area;

[0144] The origin determination and coordinate system construction unit is used to construct a plane rectangular coordinate system with the position of the ultra-dense networking node closest to the geometric center of the connection area as the origin.

[0145] Furthermore, the node selection and analysis module includes:

[0146] The node selection unit is used to select any ultra-dense network node i in the plane rectangular coordinate system as the node to be risk assessed, and simultaneously obtain M ultra-dense network nodes adjacent to the ultra-dense network node i as associated nodes to be risk assessed;

[0147] A coverage area analysis unit, the coverage area analysis unit is used to respectively obtain the maximum communication network coverage area corresponding to the node to be risk assessed and the associated node to be risk assessed, and obtain a first risk assessment impact index;

[0148] The base station type analysis unit is used to respectively obtain base station type information corresponding to the node to be risk assessed and the associated node to be risk assessed, and obtain a second risk assessment impact index.

[0149] The above shows and describes the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions merely illustrate the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for risk assessment of power communication network based on ultra-dense networking, characterized in that: include: S1. Determine the target area information, collect the power communication network structure information, determine the ultra-dense network node location information, the target area information is the geographical location information of the power communication network area to be risk assessed, the ultra-dense network node location information corresponds to the base station location information within the target area; S2. Based on the ultra-dense networking node position information, connect all edge ultra-dense networking nodes to obtain the geometric center position of the connection area, and construct a plane rectangular coordinate system with the position of the ultra-dense networking node closest to the geometric center position of the connection area as the origin; S3. Select any ultra-dense networking node i in the plane rectangular coordinate system as the node to be risk assessed, and simultaneously obtain M ultra-dense networking nodes adjacent to the ultra-dense networking node i as associated nodes to be risk assessed; S4. Obtain the maximum communication network coverage area corresponding to the risk assessment node and the associated node to be risk assessed, and obtain the first risk assessment impact index; S5. Get the base station type information corresponding to the risk assessment node and the associated node to be risk assessed, and obtain the second risk assessment impact index; S6. Based on the node to be risk-assessed and the associated node to be risk-assessed, obtain a communication quality index of the target area, and perform risk assessment on the target area using the communication quality index.

2. The method for risk assessment of power communication network based on ultra-dense networking according to claim 1, characterized in that: Step S2 specifically includes: In GIS, an original plane coordinate system is constructed, and all ultra-dense network nodes at the edge of the target area are connected in sequence in the original plane coordinate system to form a closed polygonal area; Based on the polygon center calculation method, the geometric center position of the closed polygon area is obtained; Among all ultra-dense network nodes, find the node closest to the geometric center, set the position of this node as the origin, establish a plane rectangular coordinate system, and simultaneously determine the coordinates of all ultra-dense network nodes in the plane rectangular coordinate system; The geometric center position of the polygonal area is determined as follows: S2.

1. Assume that the set of ultra-dense network nodes at the edge is E = {e1, e2, ..., e n }; S2.

2. Select a node e from all ultra-dense network nodes in the target area j , the coordinates in the original plane coordinate system are (x j ,y j ); S2.

3. Coordinates of the geometric center position (x g ,y g ) is calculated as: Find the distance from the geometric center (x g ,y g ) The nearest node n min As the origin, other nodes n j The coordinates in the plane rectangular coordinate system are (x j ′,y i ′)=(x j -x min ,y j -y min ), where (x min ,y min ) is node n min The original coordinates in the original plane coordinate system.

3. The method for risk assessment of power communication network based on ultra-dense networking according to claim 1, characterized in that: Step S3 specifically includes: In the plane rectangular coordinate system, select any ultra-dense network node i as the node e to be risk assessed i , and its coordinates in the plane rectangular coordinate system are (x i ′,y i ′); Get the node e to be risk assessed i base station type information to determine its maximum communication network coverage and minimum communication network coverage; Get the node e to be risk assessed i The difference between the maximum communication network coverage and the minimum communication network coverage is multiplied by 0.5 to obtain the search radius value of the adjacent ultra-dense networking node; Waiting for risk assessment node e i The search radius of the adjacent ultra-dense networking nodes is the radius to obtain the search area of ​​the adjacent ultra-dense networking nodes; In the search area of ​​adjacent ultra-dense network nodes, obtain all nodes except the node to be risk assessed e i All other ultra-dense networking nodes are taken as the M ultra-dense networking nodes adjacent to the ultra-dense networking node i, and the associated nodes to be risk assessed are obtained; The coordinates of the node to be risk assessed in the plane rectangular coordinate system are (x m ′,y m ′)(m∈M).

4. The method for risk assessment of power communication network based on ultra-dense networking according to claim 1, characterized in that: Step S4 specifically includes: Geometrically superimpose the maximum communication network coverage area of ​​the node to be risk assessed and the maximum communication network coverage area of ​​the associated node to be risk assessed to obtain the maximum impact area to be risk assessed; Obtain the peak number of users within the maximum impact area to be risk assessed, and simultaneously obtain the peak number of users within the maximum communication network coverage area of ​​the node to be risk assessed and the peak number of users within the maximum communication network coverage area of ​​the associated node to be risk assessed; Sequentially obtain the maximum communication network coverage area of ​​the node to be risk assessed and the overlapping area of ​​the maximum communication network coverage areas of M associated nodes to be risk assessed; Obtaining the peak number of users in the overlapping area of ​​the maximum communication network coverage area of ​​the node to be risk assessed and the maximum communication network coverage areas of the M associated nodes to be risk assessed; Determine the first risk assessment impact index: Where S i,m is the quantitative value of the overlapping area of ​​the maximum communication network coverage area of ​​the node i to be risk assessed and the maximum communication network coverage area of ​​the mth associated node to be risk assessed, U i,m is the quantitative value of the peak number of users in the overlapping area of ​​the maximum communication network coverage area of ​​the node i to be risk assessed and the maximum communication network coverage area of ​​the mth associated node to be risk assessed, U i is the quantitative value of the peak number of users in the maximum communication network coverage area of ​​the node i to be risk assessed, U total is the quantitative value of the maximum impact area to be assessed for risk, S i is the quantitative value of the area value of the maximum communication network coverage area of ​​the node i to be risk assessed, which is, S m is the quantitative value of the area of ​​the maximum communication network coverage area of ​​the mth node to be risk assessed, U m It is the quantitative value of the peak number of users in the maximum communication network coverage area of ​​the mth node associated with the risk assessment.

5. The method for risk assessment of power communication network based on ultra-dense networking according to claim 4, characterized in that: Step S5 specifically includes: Obtain base station type information corresponding to the node to be risk assessed and the associated node to be risk assessed, including macro base stations, micro base stations, and pico base stations; Obtaining network performance indicators, reliability indicators, and security indicators of base stations corresponding to the node to be risk assessed and the associated node to be risk assessed, and simultaneously normalizing the network performance indicators, reliability indicators, and security indicators; Determine the second risk assessment impact index: Where, ω i is the base station type weight corresponding to the node i to be risk assessed, ω m is the base station type weight corresponding to the mth node to be risk assessed, W i is the network performance index of the base station corresponding to the node i to be risk assessed, K i is the reliability index of the base station corresponding to the node i to be risk assessed, A i is the security index of the base station corresponding to the node i to be risk assessed, W m is the network performance index of the base station corresponding to the mth node to be risk assessed, K m is the reliability index of the base station corresponding to the mth node to be risk assessed, A m is the security index of the base station corresponding to the mth associated node to be risk assessed.

6. The method for risk assessment of power communication network based on ultra-dense networking according to claim 1, characterized in that: Step S6 specifically includes: Obtaining base station type weights corresponding to the node to be risk assessed and the associated node to be risk assessed; Obtain communication quality related indicators of the node to be risk assessed and the associated nodes to be risk assessed, including signal strength, interference level, data transmission rate and delay; Determine the communication quality index of the target area based on the first risk assessment impact index and the second risk assessment impact index corresponding to the node to be risk assessed, the base station type weight and the communication quality-related index corresponding to the node to be risk assessed and the associated node to be risk assessed; Set a risk level threshold and conduct a risk assessment on the target area based on the communication quality index of the target area; The calculation formula of the communication quality index of the target area is: Where CI is the communication quality index of the target area, γ1, γ2 and γ3 are weight coefficients, q i is the quantitative value of the communication quality related indicators of the node i to be risk assessed, q m is the quantitative value of the communication quality related indicators of the mth node to be risk assessed, ω i is the base station type weight corresponding to the node i to be risk assessed, ω m is the base station type weight corresponding to the mth associated node to be risk assessed.

7. A power communication network risk assessment system based on ultra-dense networking, used to implement the assessment method according to any one of claims 1 to 6, characterized in that: include: A data acquisition module is used to determine target area information, collect power communication network structure information, and determine ultra-dense network node location information; A coordinate system construction module is used to connect all edge ultra-dense networking nodes based on the ultra-dense networking node position information, obtain the geometric center position of the connection area, and construct a plane rectangular coordinate system with the position of the ultra-dense networking node closest to the geometric center position of the connection area as the origin; A node selection and analysis module, wherein the node selection and analysis module is used to select any ultra-dense networking node i in a plane rectangular coordinate system as a node to be risk assessed, and simultaneously obtain M ultra-dense networking nodes adjacent to the ultra-dense networking node i as associated nodes to be risk assessed, and is used to respectively obtain the maximum communication network coverage area corresponding to the node to be risk assessed and the associated node to be risk assessed, and obtain a first risk assessment impact index, and is also used to respectively obtain base station type information corresponding to the node to be risk assessed and the associated node to be risk assessed, and obtain a second risk assessment impact index; A communication quality assessment module, configured to obtain a communication quality index of a target area based on the node to be risk assessed and the associated node to be risk assessed, and perform risk assessment on the target area using the communication quality index; A display module is used to present the risk assessment results to the user in an intuitive manner.

8. The power communication network risk assessment system based on ultra-dense networking according to claim 7, characterized in that: The data acquisition module includes: a target area information acquisition unit, the target area information acquisition unit being used to determine target area information; A network structure information acquisition unit, configured to collect power communication network structure information; An ultra-dense networking node position acquisition unit is used to determine ultra-dense networking node position information.

9. The power communication network risk assessment system based on ultra-dense networking according to claim 7, characterized in that: The origin determination and coordinate system construction unit includes: An edge node connection and geometric center calculation unit, which is used to connect all edge ultra-dense networking nodes based on ultra-dense networking node position information and obtain the geometric center position of the connection area; The origin determination and coordinate system construction unit is used to construct a plane rectangular coordinate system with the position of the ultra-dense networking node closest to the geometric center position of the connection area as the origin.

10. The power communication network risk assessment system based on ultra-dense networking according to claim 7, characterized in that: The node selection and analysis module includes: A node selection unit, wherein the node selection unit is used to select any ultra-dense networking node i in a plane rectangular coordinate system as a node to be risk assessed, and simultaneously obtain M ultra-dense networking nodes adjacent to the ultra-dense networking node i as associated nodes to be risk assessed; A coverage area analysis unit, configured to respectively obtain the maximum communication network coverage area corresponding to the node to be risk assessed and the associated node to be risk assessed, and obtain a first risk assessment impact index; The base station type analysis unit is used to respectively obtain base station type information corresponding to the node to be risk assessed and the associated node to be risk assessed, and obtain a second risk assessment impact index.

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