CN114205214B - Power communication network fault identification method, device, equipment and storage medium - Google Patents
Power communication network fault identification method, device, equipment and storage medium Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0631—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0631—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
- H04L41/065—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis involving logical or physical relationship, e.g. grouping and hierarchies
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Abstract
The application discloses a power communication network fault identification method, a device, equipment and a storage medium, which comprise the following steps: s1: identifying a key node set in the whole power communication network, and dividing the whole power communication network by adopting the correlation among nodes to form a plurality of communication area subnets; s2: according to network equipment connected with the power equipment, the area divided by the power equipment corresponding to the communication area sub-network is found out, and the mapping relation between the power equipment area and the communication sub-network area is established; s3: finding out fault power equipment, finding out a power equipment area set with the largest number of fault equipment and a mapping relation between the power equipment area and a communication subnet area according to the fault power equipment, and finding out all communication subnet area sets with possible faults; s4: and carrying out fault identification on the communication equipment by utilizing a fault correlation analysis two-layer model for each communication subnet area with possible faults. The application integrates the power equipment fault information to improve the accuracy of communication network fault identification.
Description
Technical Field
The present application relates to the field of network fault identification technologies, and in particular, to a method, an apparatus, a device, and a storage medium for identifying a power communication network fault.
Background
As an optical transmission network of a power grid information communication expressway, the optical transmission network mainly bears information bearing of various businesses such as power grid production and management, power dispatching, customer service and the like. With the rapid development of energy internet, smart grid and grid informatization, the service volume borne by the power communication network is larger and larger, the service variety is richer, the service quality requirement is more diversified, and therefore, the changes all put higher demands on the planning of the optical transmission network.
At present, the fault identification method for the communication network of the power system is mainly based on the fault and alarm of the communication network, and the influence of the network fault of the power equipment on the fault identification of the communication network is not considered. The diagnosis and identification of the power communication network faults in the actual environment can be affected, and the problems of low identification accuracy and low efficiency of the power communication network fault identification method in the prior art are caused.
Disclosure of Invention
The application aims to solve the technical problems that in the prior art, the power communication network fault identification method is mainly based on the fault and alarm of a communication network, and the influence of the power equipment network fault on the communication network fault identification is not considered, so that the problems of low identification accuracy and low efficiency are caused.
Therefore, the application considers that the power equipment network fault is a direct representation of the communication network fault in the actual environment, and the identification of the communication network fault can be key through the analysis of the monitoring data of the power equipment network fault node. The application aims to provide a method, a device, equipment and a storage medium for identifying power communication network faults, which fully consider the influence of power equipment network faults on communication network fault identification, and have high identification accuracy and high efficiency.
The application is realized by the following technical scheme:
in a first aspect, the present application provides a method for identifying a fault in an electrical power communication network, the method comprising:
s1: according to the communication network nodes and the communication network topological structure, a key node set in the whole power communication network is identified; dividing the whole power communication network by adopting the correlation among nodes according to the key node set to form a plurality of communication area subnets;
s2: according to network equipment connected with the power equipment, the area divided by the power equipment corresponding to the communication area sub-network is found out, and the mapping relation between the power equipment area and the communication sub-network area is established;
s3: obtaining fault power equipment according to the network communication state of the power equipment; finding out the power equipment area set with the largest number of fault equipment according to the fault power equipment, finding out all the communication sub-network area sets with possible faults according to the mapping relation between the power equipment area and the communication sub-network area, and arranging the communication sub-network area sets in reverse order according to the number of the fault equipment;
s4: and constructing a fault association analysis two-layer model for each communication subnet area with possible faults by using the mapping relation between the power equipment area and the communication subnet area, and identifying the faults of all communication equipment in the communication subnet area.
The method integrates the fault information of the power equipment, improves the accuracy of the fault identification of the communication network, divides the whole communication network into the key area subnets, respectively identifies the faults of the key area subnets, and improves the efficiency of the fault identification.
Further, step S1 comprises the sub-steps of:
s11: according to the communication network nodes and the communication network topological structure, the whole power communication network can be represented by an undirected graph G= (V, E), wherein V represents the communication equipment nodes and E represents the connection relation between the communication equipment;
s12: adopting a central key node identification algorithm to identify k key node sets S in the whole power communication network, andthe number f (S) of the connected node pair after S is removed in the whole undirected graph G is minimized;
s13: and dividing the whole communication network into a plurality of communication area sub-network sets Gt according to the key nodes by adopting a communication network node correlation method according to the identified key node set S.
Further, in step S12, the formula of the connected node logarithm f (S) of the whole undirected graph G after S is removed is:
wherein C is i Representing the whole undirected graph G with S removed from the graph G]Is selected from the group consisting of the i-th connected component,is the number of nodes in the connected component.
Further, the calculation formula of the communication network node correlation method in step S13 is as follows:
wherein A is ij Representing a communication node T i And communication node T j The number of faults occurring in the same period; a represents the total number of faults occurring in the communication network; the larger the ratio, the higher the correlation of the two communication nodes. D (D) ij Representing node T i And node T j The greater the number of communications between, the more likely the communication node T is to be i And communication node T j The higher the correlation of (2); d represents the total number of communications of the nodes in the entire communication sub-network.
When the correlation of the communication network nodes is larger than the set threshold value, the two communication nodes are indicated to belong to the same communication area subnet.
Further, the network communication state of the power device in step S3 is a network communication state of each power device that is aggregated according to the period dimension after the network communication state of the power device in the power system is acquired.
Further, in the step S4, the two-layer model is based on the mapping relationship between the power equipment area and the communication subnet area, the communication network fault node is used as a source network layer, the power equipment fault node is used as an association network layer, and the identification of each communication equipment fault in the communication subnet is realized through the fault propagation relationship between the communication network fault node and the power equipment fault node.
In a second aspect, the present application further provides an apparatus for identifying a power communication network fault, the apparatus supporting the method for identifying a power communication network fault, the apparatus comprising:
the acquisition unit is used for acquiring the network communication state of the power equipment in the power system and aggregating the network communication state of each power equipment according to the periodic dimension;
the communication area subnetwork construction unit is used for identifying a key node set in the whole power communication network according to the communication network nodes and the communication network topological structure; dividing the whole power communication network by adopting the correlation among nodes according to the key node set to form a plurality of communication area subnets;
the mapping relation construction unit is used for finding out the area divided by the power equipment corresponding to the communication area sub-network according to the network equipment connected with the power equipment and establishing the mapping relation between the power equipment area and the communication sub-network area;
the possible fault communication sub-network region set identification unit is used for obtaining the fault power equipment according to the network communication state of the power equipment; finding out the power equipment area set with the largest number of fault equipment according to the fault power equipment, finding out all the communication sub-network area sets with possible faults according to the mapping relation between the power equipment area and the communication sub-network area, and arranging the communication sub-network area sets in reverse order according to the number of the fault equipment;
and the communication equipment fault identification unit is used for constructing a fault association analysis two-layer model according to the mapping relation between the power equipment area and the communication subnet area for each communication subnet area which is possibly faulty, and identifying the faults of all communication equipment in the communication subnet.
Further, the communication area subnet construction unit comprises a key node set subunit and a communication area subnet construction subunit;
the key node set subunit is configured to use an undirected graph g= (V, E) to represent the whole power communication network according to the communication network node and the communication network topology structure, where V represents a communication device node, and E represents a connection relationship between communication devices; and adopting a central key node identification algorithm to identify k key node sets S in the whole power communication network, andthe number f (S) of the connected node pair after S is removed in the whole undirected graph G is minimized;
the communication area subnetwork construction subunit is configured to divide the whole communication network into a plurality of communication area subnetwork sets Gt according to the identified key node set S by adopting a communication network node correlation method.
In a third aspect, the present application further provides a computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the method for identifying faults in an electrical communication network when executing the computer program.
In a fourth aspect, the present application further provides a computer readable storage medium storing a computer program which when executed by a processor implements the method of power communication network fault identification.
Compared with the prior art, the application has the following advantages and beneficial effects:
according to the application, the fact that the power equipment network fault is a direct representation of the communication network fault in an actual environment is considered, and the identification of the communication network fault can be realized through the analysis of the monitoring data of the power equipment network fault node. The application aims to provide a method, a device, equipment and a storage medium for identifying power communication network faults, which fully consider the influence of power equipment network faults on communication network fault identification, and have high identification accuracy and high efficiency.
Drawings
The accompanying drawings, which are included to provide a further understanding of embodiments of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the principles of the application. In the drawings:
fig. 1 is a flowchart of a method for identifying faults in an electrical power communication network according to the present application.
Fig. 2 is a block diagram of a power communication network fault recognition device according to the present application.
Detailed Description
For the purpose of making apparent the objects, technical solutions and advantages of the present application, the present application will be further described in detail with reference to the following examples and the accompanying drawings, wherein the exemplary embodiments of the present application and the descriptions thereof are for illustrating the present application only and are not to be construed as limiting the present application.
Example 1
As shown in fig. 1, the method for identifying a power communication network fault of the present application includes:
s1: according to the communication network nodes and the communication network topological structure, a key node set in the whole power communication network is identified; dividing the whole power communication network by adopting the correlation among nodes according to the key node set to form a plurality of communication area subnets; step S1 comprises the following sub-steps:
s11: according to the communication network nodes and the communication network topological structure, the whole power communication network can be represented by an undirected graph G= (V, E), wherein V represents the communication equipment nodes and E represents the connection relation between the communication equipment;
s12: the identification of the key nodes can be understood as that the node connectivity in the whole communication network is minimum after the key nodes are removed; then adopting a centrality key node identification algorithm to identify k key node sets S in the whole power communication network, and the number f (S) of the connected node pair after S is removed in the whole undirected graph G is minimized; the formula of f (S) is:
wherein C is i Representing the whole undirected graph G with S removed from the graph G]Is selected from the group consisting of the i-th connected component,is the number of nodes in the connected component.
S13: according to the identified key node set S, the whole communication network is divided into a plurality of communication area sub-network sets Gt { Gt1, gt2, … Gtn } according to the key nodes by adopting a communication network node correlation method. The calculation formula of the communication network node correlation method is as follows:
wherein A is ij Representing a communication node T i And communication node T j The number of faults occurring in the same period; a represents the total number of faults occurring in the communication network; the larger the ratio, the higher the correlation of the two communication nodes. D (D) ij Representing node T i And node T j The greater the number of communications between, the more likely the communication node T is to be i And communication node T j The higher the correlation of (2); d represents the total number of communications of the nodes in the entire communication sub-network.
When the correlation of the communication network nodes is larger than the set threshold value, the two communication nodes are indicated to belong to the same communication area subnet.
S2: all the power equipment is connected with the communication equipment nodes in the communication network, so that the communication area sub-network to which the power equipment belongs can be determined, therefore, according to the network equipment connected with the power equipment, the area divided by the power equipment corresponding to the communication area sub-network is found out, the mapping relation Rtc= (Gt, qc) of the power equipment area and the communication sub-network area is established, and Gt represents the communication area sub-network set; qc represents a power device set;
s3: obtaining a fault power equipment set H according to the network communication state of the power equipment; finding out a power equipment region set with the largest number of fault equipment according to the fault power equipment, finding out all communication subnet region sets with possible faults { < Gt, qc > } according to the mapping relation Rtc of the power equipment region and the communication subnet region, and arranging the power equipment region sets in reverse order according to the number of the fault equipment; wherein:
the network communication state of the power equipment is obtained by acquiring the network communication state of the power equipment in the power system and aggregating the network communication states of the power equipment according to the period dimension. Specifically, in the whole power system, network monitoring devices are randomly arranged in the power equipment, the distribution of the network monitoring devices is uniform on the whole, the network monitoring devices are used for collecting network delay data of the current point and equipment communication conditions, and the network monitoring devices can comprise routers, switches, CDNs, information systems or network monitoring clients. The network monitoring device uploads the network state of each power device every second, and the data acquisition module aggregates the acquired original data according to the periodic dimension data so as to reduce the data quantity. The communication State of each device cycle dimension has a State value of 0 or 1, wherein 0 represents that the communication State of the device is normal, and 0 represents that the communication State of the device is abnormal.
S4: and constructing a fault association analysis two-layer model for each communication subnet area with possible faults by using the mapping relation between the power equipment area and the communication subnet area, and identifying the faults of all communication equipment in the communication subnet area. Wherein:
and the two-layer model of fault association analysis is to realize the identification of each communication equipment fault in the communication area subnetwork by using the communication network fault node as a source network layer and the power equipment fault node as an association network layer according to the mapping relation between the power equipment area and the communication subnetwork area and through the fault propagation relation between the communication network fault node and the power equipment fault node.
Specifically, the communication subnet regional set { for all possible failures identified in step S3<Gt，Qc>Establishing a two-layer model G (T, E, C) of association analysis of power equipment and communication network faults for each set, wherein T belongs to nodes in a communication area sub-network, communication network fault nodes are taken as fault source network layers, C belongs to nodes in a power equipment area, power equipment fault nodes are taken as fault association network layers, E is an edge of the communication network sub-network nodes, which points to the power equipment layer, and the specific meaning represents the influence of the communication network node faults on the power equipment; definition w ij Is edge (T) i ，C j ) The weight represents the propagation probability of the communication network node fault to the power equipment node fault.
The problem of identifying a set of failed nodes of a communication network can be translated into a set of communication devices X that find a failure in a communication area subnetwork, whereinSo that a observable set of faults of the electrical equipment actually occurs +.>The probability of this failure occurring is greatest when this occurs.
Further, the probability problem of this failure occurrence can be translated into the following minimization problem:
wherein K represents a K-dimensional vector x i ，x i ∈{0，1}，Is the probability of failure of the ith communication device.
And solving the 0-1 programming problem by adopting a genetic algorithm, calculating the probability of each communication device failure, and selecting the communication device exceeding the threshold value as the failure communication device. Therefore, the method can find out the node set X of the fault communication equipment, and achieve the purpose of identifying the faults of the power communication network.
The method integrates the fault information of the power equipment, improves the accuracy of the fault identification of the communication network, divides the whole communication network into the key area subnets, respectively identifies the faults of the key area subnets, and improves the efficiency of the fault identification.
Example 2
As shown in fig. 2, the present embodiment differs from embodiment 1 in that the present embodiment provides an electric power communication network failure recognition apparatus supporting an electric power communication network failure recognition method described in embodiment 1, the apparatus comprising:
the acquisition unit is used for acquiring the network communication state of the power equipment in the power system and aggregating the network communication state of each power equipment according to the periodic dimension;
the communication area subnetwork construction unit is used for identifying a key node set in the whole power communication network according to the communication network nodes and the communication network topological structure; dividing the whole power communication network by adopting the correlation among nodes according to the key node set to form a plurality of communication area subnets;
the mapping relation construction unit is used for finding out the area divided by the power equipment corresponding to the communication area sub-network according to the network equipment connected with the power equipment and establishing the mapping relation between the power equipment area and the communication sub-network area;
the possible fault communication sub-network region set identification unit is used for obtaining the fault power equipment according to the network communication state of the power equipment; finding out the power equipment area set with the largest number of fault equipment according to the fault power equipment, finding out all the communication sub-network area sets with possible faults according to the mapping relation between the power equipment area and the communication sub-network area, and arranging the communication sub-network area sets in reverse order according to the number of the fault equipment;
and the communication equipment fault identification unit is used for constructing a fault association analysis two-layer model according to the mapping relation between the power equipment area and the communication subnet area for each communication subnet area which is possibly faulty, and identifying the faults of all communication equipment in the communication subnet.
The execution process of each unit is performed according to the steps of the power communication network fault identification method described in embodiment 1, and in this embodiment, details are not repeated.
Meanwhile, the application also provides a computer device which comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor realizes the power communication network fault identification method when executing the computer program.
Meanwhile, the application also provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program realizes the power communication network fault identification method when being executed by a processor.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The foregoing description of the embodiments has been provided for the purpose of illustrating the general principles of the application, and is not meant to limit the scope of the application, but to limit the application to the particular embodiments, and any modifications, equivalents, improvements, etc. that fall within the spirit and principles of the application are intended to be included within the scope of the application.
Claims (10)
1. A method for identifying a power communication network failure, the method comprising:
s1: according to the communication network nodes and the communication network topological structure, a key node set in the whole power communication network is identified; dividing the whole power communication network by adopting the correlation among nodes according to the key node set to form a plurality of communication area subnets;
s2: according to network equipment connected with the power equipment, the area divided by the power equipment corresponding to the communication area sub-network is found out, and the mapping relation between the power equipment area and the communication sub-network area is established;
s3: obtaining fault power equipment according to the network communication state of the power equipment; finding out the power equipment area set with the largest number of fault equipment according to the fault power equipment, and finding out all the communication sub-network area sets with possible faults according to the mapping relation between the power equipment area and the communication sub-network area;
s4: and analyzing two layers of models by utilizing fault association for each communication subnet area with possible faults, and identifying faults of all communication equipment in the communication subnet area.
2. A method of power communication network fault identification according to claim 1, characterized in that step S1 comprises the sub-steps of:
s11: according to the communication network nodes and the communication network topological structure, the whole power communication network is represented by an undirected graph G= (V, E), wherein V represents the communication equipment nodes and E represents the connection relation between the communication equipment;
s12: adopting a central key node identification algorithm to identify k key node sets S in the whole power communication network, andthe number f (S) of the connected node pair after S is removed in the whole undirected graph G is minimized;
s13: and dividing the whole communication network into a plurality of communication area sub-network sets according to the key nodes by adopting a communication network node correlation method according to the identified key node set S.
3. The method for identifying a power communication network fault according to claim 2, wherein the formula of the connection node logarithm f (S) after S is removed in the whole undirected graph G in step S12 is as follows:
wherein C is i Representing the whole undirected graph G with S removed from the graph G]Is selected from the group consisting of the i-th connected component,is the number of nodes in the connected component.
4. The power communication network fault identification method according to claim 2, wherein the calculation formula of the communication network node correlation method in step S13 is:
wherein A is ij Representing a communication node T i And communication node T j The number of faults occurring in the same period; a represents the total number of faults occurring in the communication network; d (D) ij Representing a communication node T i And communication node T j The number of communications between them; d represents the total number of communications of the nodes in the entire communication sub-network.
5. The power communication network fault identification method according to claim 1, wherein the network communication state of the power equipment in step S3 is a network communication state of each power equipment after the network communication state of the power equipment in the power system is acquired and aggregated according to a period dimension.
6. The method for identifying a power communication network fault according to claim 1, wherein the fault correlation analysis two-layer model in step S4 is implemented by using a communication network fault node as a source network layer and a power equipment fault node as a correlation network layer according to a mapping relationship between the power equipment area and a communication subnet area, and implementing identification of each communication equipment fault in the communication subnet by using a fault propagation relationship between the communication network fault node and the power equipment fault node.
7. An electric power communication network failure recognition apparatus supporting an electric power communication network failure recognition method as claimed in any one of claims 1 to 6, the apparatus comprising:
the acquisition unit is used for acquiring the network communication state of the power equipment in the power system and aggregating the network communication state of the power equipment according to the periodic dimension;
the communication area subnetwork construction unit is used for identifying a key node set in the whole power communication network according to the communication network nodes and the communication network topological structure; dividing the whole power communication network by adopting the correlation among nodes according to the key node set to form a plurality of communication area subnets;
the mapping relation construction unit is used for finding out the area divided by the power equipment corresponding to the communication area sub-network according to the network equipment connected with the power equipment and establishing the mapping relation between the power equipment area and the communication sub-network area;
the possible fault communication sub-network region set identification unit is used for obtaining the fault power equipment according to the network communication state of the power equipment; finding out the power equipment area set with the largest number of fault equipment according to the fault power equipment, and finding out all the communication sub-network area sets with possible faults according to the mapping relation between the power equipment area and the communication sub-network area;
and the communication equipment fault recognition unit is used for recognizing faults of all communication equipment in each communication area subnet by analyzing two layers of models through fault association for each communication area subnet which is possibly faulty.
8. The power communication network failure recognition device according to claim 7, wherein the communication area subnet construction unit includes a key node set subunit and a communication area subnet construction subunit;
the key node set subunit is configured to represent the whole power communication network by using an undirected graph g= (V, E) according to the communication network node and the communication network topology structure, where V represents a communication device node, and E represents a connection relationship between communication devices; and adopting a central key node identification algorithm to identify k key node sets S in the whole power communication network, and the number f (S) of the connected node pair after S is removed in the whole undirected graph G is minimized;
the communication area sub-network constructing subunit is configured to divide the whole communication network into a plurality of communication area sub-network sets according to the identified key node set S by adopting a communication network node correlation method.
9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements a power communication network fault identification method according to any of claims 1 to 6 when executing the computer program.
10. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements a power communication network fault identification method as claimed in any one of claims 1 to 6.
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| CN111835537A (en) * | 2019-04-17 | 2020-10-27 | 中国移动通信集团山西有限公司 | Method, device and equipment for identifying nodes in communication network cascade fault |
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