CN111461451B - Operation and maintenance method, device and storage medium for power distribution communication network - Google Patents

Operation and maintenance method, device and storage medium for power distribution communication network Download PDF

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CN111461451B
CN111461451B CN202010284057.4A CN202010284057A CN111461451B CN 111461451 B CN111461451 B CN 111461451B CN 202010284057 A CN202010284057 A CN 202010284057A CN 111461451 B CN111461451 B CN 111461451B
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苏俊妮
罗金满
全源
陈小群
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Dongguan Power Supply Bureau of Guangdong Power Grid Co Ltd
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Abstract

The invention discloses an operation and maintenance method, an operation and maintenance device and a storage medium of a power distribution communication network. The method comprises the following steps: constructing a data analysis model of operation and maintenance management and control of the power distribution communication network by adopting a big data analysis method; according to the data analysis model of operation and maintenance control, operation, maintenance control and scheduling are carried out on the power distribution communication network; and (4) performing self-adaptive training on operation and maintenance control of the power distribution communication network by adopting a fusion management method. The scheme provided by the invention can realize the integrated management and control of comprehensive intelligent monitoring, fault analysis and visual positioning of the power distribution communication network, and improve the intelligent operation and maintenance management and control level of the power distribution communication network.

Description

Operation and maintenance method, device and storage medium for power distribution communication network
Technical Field
The embodiment of the invention relates to the field of power grid safety protection, in particular to an operation and maintenance method, device and storage medium of a power distribution communication network.
Background
The power distribution and utilization communication network is an important network structure for power distribution communication and power dispatching, and is an information channel for ensuring normal operation of a power distribution and utilization network, quick response of faults, efficient utilization of resources, real-time realization of services and sustainable power production.
The networking mode of the power distribution and utilization communication network is complex, equipment manufacturers are various, and the power distribution and utilization communication network has the characteristics of multiple communication technologies, combined networking of power communication resources and public network communication resources, so that the management and control and operation and maintenance difficulty is high. How to improve the intelligent operation and maintenance control level of the power distribution communication network becomes a problem to be solved urgently at present.
Disclosure of Invention
The embodiment of the invention provides an operation and maintenance method, an operation and maintenance device and a storage medium of a power distribution communication network, which can realize the integration management and control of comprehensive intelligent monitoring, fault analysis and visual positioning of the power distribution communication network and improve the intelligent operation and maintenance management and control level of the power distribution communication network.
In a first aspect, an embodiment of the present invention provides an operation and maintenance method for a power distribution communication network, including:
constructing a data analysis model of operation and maintenance management and control of the power distribution communication network by adopting a big data analysis method;
according to the data analysis model of operation and maintenance control, operation, maintenance control and scheduling are carried out on the power distribution communication network;
and (4) performing self-adaptive training on operation and maintenance control of the power distribution communication network by adopting a fusion management method.
Optionally, the constructing a data analysis model of operation and maintenance management and control of the power distribution communication network by using a big data analysis method includes:
the method comprises the steps of adopting a big data analysis method, fusing big data information, and constructing a data analysis model of operation and maintenance management and control of the power distribution communication network, wherein the big data information at least comprises the following steps: configuration data, alarm information, performance data, resource data, service data and operation data of the power distribution communication network.
Optionally, the operation and maintenance control data analysis model is as follows:
Figure 346115DEST_PATH_IMAGE001
wherein,
Figure 920316DEST_PATH_IMAGE002
and
Figure 869817DEST_PATH_IMAGE003
traffic data control level feature samples are managed for a power distribution communication network,
Figure 896679DEST_PATH_IMAGE004
and
Figure 222618DEST_PATH_IMAGE005
and b, representing the characteristic values of the service data under different conditions, and controlling the characteristic classification attribute of the service data control level of the operation and maintenance control of the power distribution communication network.
Optionally, according to the data analysis model of the operation and maintenance management and control, performing operation and maintenance management and control scheduling on the power distribution communication network includes:
constructing an operation and maintenance control scheduling model of the power distribution communication network according to the operation and maintenance control data analysis model;
and performing operation, maintenance, control and scheduling on the power distribution communication network by using the operation, maintenance, control and scheduling model.
Optionally, the operation and maintenance management and control scheduling model is as follows:
Figure 651325DEST_PATH_IMAGE006
wherein,
Figure 270263DEST_PATH_IMAGE007
Figure 50000DEST_PATH_IMAGE008
the operation and maintenance modes are single event operation and maintenance modes of the power distribution communication network respectively;
Figure 914051DEST_PATH_IMAGE009
Figure 197265DEST_PATH_IMAGE010
are respectively as
Figure 19728DEST_PATH_IMAGE007
Corresponding n operation and maintenance samples …,
Figure 755602DEST_PATH_IMAGE011
Figure 423344DEST_PATH_IMAGE012
Are respectively as
Figure 826644DEST_PATH_IMAGE008
Corresponding n operation and maintenance samples.
Optionally, the performing adaptive training on the operation and maintenance management and control of the power distribution communication network by using the fusion management method includes:
constructing an adaptive learning model for operation and maintenance management and control of the power distribution communication network by adopting a fusion management method;
and carrying out self-adaptive training on the operation and maintenance control of the power distribution communication network by using the self-adaptive learning model.
Optionally, the adaptive learning model is:
Figure 820007DEST_PATH_IMAGE013
wherein,
Figure 43178DEST_PATH_IMAGE014
Figure 514611DEST_PATH_IMAGE015
and
Figure 5373DEST_PATH_IMAGE016
traffic data control level feature samples are managed for a power distribution communication network,
Figure 638480DEST_PATH_IMAGE017
and b, representing the characteristic values of the service data under different conditions, and controlling the characteristic classification attribute of the service data control level of the operation and maintenance control of the power distribution communication network.
In a second aspect, an embodiment of the present invention further provides an operation and maintenance device for a power distribution communication network, including: the system comprises a model building module, a scheduling module and a training module;
the model construction module is used for constructing a data analysis model of operation and maintenance management and control of the power distribution communication network by adopting a big data analysis method;
the scheduling module is used for performing operation, maintenance, control and scheduling on the power distribution communication network according to the data analysis model of the operation, maintenance, control and scheduling;
and the training module is used for carrying out self-adaptive training on the operation and maintenance control of the power distribution communication network by adopting a fusion management method.
In a third aspect, an embodiment of the present invention further provides an operation and maintenance device for a power distribution communication network, including: a processor for implementing the method of any of the above embodiments when executing the computer program.
In a fourth aspect, the present invention further provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the computer program implements the method of any one of the above embodiments.
The invention provides an operation and maintenance method, an operation and maintenance device and a storage medium of a power distribution communication network, wherein the method comprises the following steps: constructing a data analysis model of operation and maintenance management and control of the power distribution communication network by adopting a big data analysis method; according to the data analysis model of operation and maintenance control, operation, maintenance control and scheduling are carried out on the power distribution communication network; and (4) performing self-adaptive training on operation and maintenance control of the power distribution communication network by adopting a fusion management method. By adopting big data fusion, the integrated intelligent monitoring, fault analysis and visual positioning of the power distribution communication network are controlled, the safe and reliable operation, communication resource integration optimization and service quality improvement of the power distribution communication network are guaranteed, and the purpose of improving the intelligent operation and maintenance control level of the power distribution communication network is achieved.
Drawings
Fig. 1 is a schematic flowchart of an operation and maintenance method of a power distribution communication network according to an embodiment;
fig. 2 is a simulation result diagram for testing the number of effective nodes managed by the power distribution communication network under different support degrees according to the second embodiment;
FIG. 3 is a diagram of a simulation result of testing the execution time of the operation and maintenance management according to the second embodiment;
fig. 4 is a schematic structural diagram of an operation and maintenance device of a power distribution communication network according to a third embodiment;
fig. 5 is a schematic structural diagram of an operation and maintenance device of a power distribution communication network according to a fourth embodiment;
fig. 6 is an architecture diagram of an operation and maintenance system of a power distribution communication network according to the fifth embodiment.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
The power distribution and utilization communication network is an important network structure for power distribution communication and power dispatching, and is an information channel for ensuring normal operation of a power distribution and utilization network, quick response of faults, efficient utilization of resources, real-time realization of services and sustainable power production. The power distribution and utilization communication network can meet the management and control requirements in the aspects of power resource planning and optimization, service fulfillment, service guarantee, customer service and the like under different application scenes and networking modes. Carry out intelligence, efficient management and control to distribution communication resource, establish distribution communication network's management and control and operation and maintenance mode, help improving the management and control level of operation and maintenance, support and serve in the production of whole distribution network, consequently, the research of distribution network automation operation and maintenance management and control model receives people's very big attention.
The networking mode of the power distribution and utilization communication network is complex, equipment manufacturers are various, the power distribution and utilization communication network depends on a power communication private network and a public communication network, and a hybrid networking mode of various communication technologies (including optical fiber communication, power line communication, industrial ethernet, General Packet Radio Service (GPRS), the 3rd generation mobile communication technology (3G)/the fourth generation mobile communication technology (4G)) is adopted. The method has the characteristics of multiple communication technologies, combined networking of power communication resources and public network communication resources, and therefore management and control and operation and maintenance difficulty is high. How to improve the intelligent operation and maintenance control level of the power distribution communication network becomes a problem to be solved urgently at present.
In order to solve the problems, the invention provides an operation and maintenance method, an operation and maintenance device and a storage medium of a power distribution communication network, which realize the integration management and control of comprehensive intelligent monitoring, fault analysis and visual positioning of the power distribution communication network by adopting big data integration, establish a relevant model of the power distribution communication network in a multi-communication networking structure mode, complete the integration management and control of power distribution communication and intelligent operation and maintenance, ensure the safe and reliable operation of the power distribution communication network, communication resource integration optimization and service quality improvement, and further realize the purpose of improving the intelligent operation and maintenance management and control level of the power distribution communication network.
It should be noted that the following embodiments of the present invention may be implemented individually, or may be implemented in combination with each other, and the embodiments of the present invention are not limited in this respect.
The following describes an operation and maintenance method and device of a power distribution communication network and technical effects thereof.
Example one
Fig. 1 is a schematic flowchart of an operation and maintenance method of a power distribution communication network according to an embodiment, and as shown in fig. 1, the method provided in this embodiment is applied to an operation and maintenance device of the power distribution communication network, and includes the following steps.
S101, constructing a data analysis model of operation and maintenance management and control of the power distribution communication network by adopting a big data analysis method.
Optionally, step S101 may be implemented by the following method: the method comprises the steps of adopting a big data analysis method, fusing big data information, and constructing a data analysis model of operation and maintenance management and control of the power distribution communication network, wherein the big data information at least comprises the following steps: configuration data, alarm information, performance data, resource data, service data and operation data of the power distribution communication network.
Specifically, suppose that the quantization set of the control level of the operation and maintenance control service data of the power distribution communication network has n samples, and the characteristic distribution of the samples evaluated by the operation and maintenance control service data of the power distribution communication network is
Figure 348947DEST_PATH_IMAGE018
Figure 624070DEST_PATH_IMAGE019
The system comprises a power distribution communication network, a configuration data and an alarm information, wherein the power distribution communication network represents associated data items of operation and maintenance management and control service data, configuration data and alarm information; the current running distance of the distribution communication network is
Figure 470803DEST_PATH_IMAGE020
. In the information management and control mode, the fuzzy quantization regression analysis model for the operation and maintenance management and control service control of the power distribution communication network can be expressed as follows:
Figure 805970DEST_PATH_IMAGE021
wherein, I represents various associated data, and f () represents an operation and maintenance control sample set.
Under an intelligent control mode, a power distribution communication network fusion multi-data-source fusion model is constructed, a fuzzy association rule scheduling method is adopted to schedule and optimize the operation and maintenance control service of the power distribution communication network, and a target decision vector is obtained and described as
Figure 3733DEST_PATH_IMAGE022
T represents fusion time of a single target vector, δ represents the maximum efficiency time amount, and the fusion control information model of the operation and maintenance control service of the power distribution communication network meets the following requirements under the decision of the association rule:
Figure 816968DEST_PATH_IMAGE023
wherein,
Figure 49366DEST_PATH_IMAGE024
represents fusion time of a plurality of target vectors, U represents operation and maintenance data, V represents alarm data,
Figure 289855DEST_PATH_IMAGE025
Figure 974914DEST_PATH_IMAGE026
Figure 824796DEST_PATH_IMAGE027
respectively, represent different fusion modes.
Under the continuous bounded condition, the operation and maintenance management and control service control of the power distribution communication network is carried out, and the fusion management and control fuzzy control function of the power distribution communication meets the requirement
Figure 911701DEST_PATH_IMAGE028
. Under the integration networking under many communication modes, the sample set of the training of distribution communication network operation and maintenance management and control is:
Figure 323091DEST_PATH_IMAGE029
therefore, a constraint variable model of the operation and maintenance control of the power distribution communication network is constructed, the operation and maintenance control service data control of the power distribution communication network is carried out under a power distribution communication operation and maintenance support platform, a data analysis model of the operation and maintenance control of the power distribution communication network is obtained, and the expression is as follows:
Figure 229867DEST_PATH_IMAGE001
wherein,
Figure 650484DEST_PATH_IMAGE002
and
Figure 326316DEST_PATH_IMAGE003
traffic data control level feature samples are managed for a power distribution communication network,
Figure 174186DEST_PATH_IMAGE004
and
Figure 833838DEST_PATH_IMAGE005
and b, representing the characteristic values of the service data under different conditions, and controlling the characteristic classification attribute of the service data control level of the operation and maintenance control of the power distribution communication network.
According to the analysis, a big data information analysis model of a power distribution communication network control and operation and maintenance mode is established, and the power distribution communication network control and operation and maintenance mode analysis can be performed by adopting a statistical characteristic analysis method.
And S102, carrying out operation and maintenance control scheduling on the power distribution communication network according to the data analysis model of the operation and maintenance control.
Specifically, under the requirement of a general control function, the operation, maintenance, control and scheduling of the power distribution communication network need to be performed according to different application scenes and networking modes, and the embodiment of the invention is based on a big data fusion analysis model, establishes a power distribution communication network fusion scheduling model under the condition of adapting to the operation, maintenance, control and management model, and establishes a limited set of quantitative evaluation of the operation, maintenance, control and management service data control level of the power distribution communication network as follows:
Figure 792566DEST_PATH_IMAGE030
wherein,
Figure 854063DEST_PATH_IMAGE031
representing a set of resource data, traffic data, operational data,
Figure 607256DEST_PATH_IMAGE032
Figure 456001DEST_PATH_IMAGE033
to fuse scheduling parameter values. Under the condition of correlation constraint, analyzing the statistic of comprehensive intelligent monitoring of equipment under the condition of informatization management and control by taking the configuration data, the alarm information, the performance data and the resource data of the power distribution communication network as independent variables:
Figure 218420DEST_PATH_IMAGE034
wherein,
Figure 868844DEST_PATH_IMAGE035
Figure 58517DEST_PATH_IMAGE036
the principal component characteristic component representing the operation and maintenance management and control service data control of the power distribution communication network,
Figure 692761DEST_PATH_IMAGE037
a fuzzy core of data is configured for the power distribution communication network,
Figure 727713DEST_PATH_IMAGE038
and W is a full sample regression coefficient.
Establishing a regression analysis model of operation and maintenance control big data of the power distribution communication network, constructing an operation and maintenance control combination mode of the power distribution communication network by adopting an association rule mining method, and recording an optimized combination function as:
Figure 498223DEST_PATH_IMAGE039
wherein,
Figure 858797DEST_PATH_IMAGE040
and
Figure 714758DEST_PATH_IMAGE041
respectively, are the number of the detected statistics,
Figure 553401DEST_PATH_IMAGE042
different operation and maintenance management and control methods are represented, and an optimization method is represented by C.
The operation and maintenance control and the service data control of the power distribution communication network are realized by combining a segmented sample regression analysis method, the service data and the operation data are comprehensively controlled, and the obtained self-adaptive weighted expression is as follows:
Figure 443996DEST_PATH_IMAGE043
wherein,
Figure 208428DEST_PATH_IMAGE044
denotes an association rule item, beta denotes at least one of traffic data and operational data,
Figure 551684DEST_PATH_IMAGE045
representing a sample of association rules.
In conclusion, a business data statistical analysis model of power distribution communication network operation and maintenance management and control is constructed, and power distribution communication network operation and maintenance management and control scheduling is performed by combining a correlation characteristic scheduling method.
The method comprises the following steps that in a fusion management and operation and maintenance mode of the power distribution communication network, equipment fault detection self-adaption optimization of operation and maintenance management and control of the power distribution communication network is carried out by adopting a big data analysis algorithm, and a least square planning model is combined to obtain a constraint rule expression of the operation and maintenance management and control of the power distribution communication network, wherein the constraint rule expression comprises the following steps:
Figure 928439DEST_PATH_IMAGE046
Figure 673541DEST_PATH_IMAGE047
wherein,
Figure 110339DEST_PATH_IMAGE048
in order to adapt the characteristic value to the application,
Figure 940892DEST_PATH_IMAGE049
is a constraint parameter of the least square method.
The comprehensive fault analysis algorithm and the positioning technology are adopted to realize the power distribution communication network management under the flat management mode, and the comprehensive fault analysis process of the power distribution communication network equipment is as follows:
Figure 386916DEST_PATH_IMAGE050
wherein,
Figure 986525DEST_PATH_IMAGE051
Figure 859803DEST_PATH_IMAGE052
Figure 912073DEST_PATH_IMAGE053
and the like are comprehensive fault points of the power distribution communication network equipment respectively.
Under the multi-communication mode, the method of fusing networking is adopted to carry out comprehensive fault analysis, the optimization control of the operation and maintenance management of the power distribution communication network is realized, an operation and maintenance management and control scheduling model of the power distribution communication network is obtained, and the operation and maintenance management and control scheduling model is utilized to carry out operation and maintenance management and control scheduling on the power distribution communication network:
Figure 161788DEST_PATH_IMAGE006
wherein,
Figure 881483DEST_PATH_IMAGE007
Figure 182056DEST_PATH_IMAGE008
the operation and maintenance modes are single event operation and maintenance modes of the power distribution communication network respectively;
Figure 456042DEST_PATH_IMAGE009
Figure 243870DEST_PATH_IMAGE010
are respectively as
Figure 818070DEST_PATH_IMAGE007
Corresponding n operation and maintenance samples …,
Figure 33151DEST_PATH_IMAGE011
Figure 325592DEST_PATH_IMAGE012
Are respectively as
Figure 651531DEST_PATH_IMAGE008
Corresponding n operation and maintenance samples.
S103, performing self-adaptive training on operation and maintenance management and control of the power distribution communication network by adopting a fusion management method.
Specifically, a fusion management method is adopted to perform comprehensive intelligent monitoring, fault analysis and visual positioning of equipment, and perform self-adaptive training of operation and maintenance management of the power distribution communication network. Under big data analysis, the self-adaptive learning model of the power distribution communication network fusion operation and maintenance management is as follows:
Figure 80239DEST_PATH_IMAGE013
wherein,
Figure 466220DEST_PATH_IMAGE014
Figure 980378DEST_PATH_IMAGE015
and
Figure 110008DEST_PATH_IMAGE016
traffic data control level feature samples are managed for a power distribution communication network,
Figure 393222DEST_PATH_IMAGE017
and b, representing the characteristic values of the service data under different conditions, and controlling the characteristic classification attribute of the service data control level of the operation and maintenance control of the power distribution communication network.
The business data control of the operation and maintenance management of the power distribution communication network is carried out by adopting an association rule mining method, and a statistical analysis method is combined to obtain a balance measurement factor D of the operation and maintenance management of the power distribution communication network, wherein the calculation formula is as follows:
Figure 950106DEST_PATH_IMAGE054
wherein,
Figure 450095DEST_PATH_IMAGE055
managing a quantized set of business control levels for power distribution communication network operations and maintenance,
Figure 383416DEST_PATH_IMAGE056
a set is constructed for the operation and maintenance modes of the power distribution communication network,
Figure 521136DEST_PATH_IMAGE057
the vector set is used for managing and controlling the operation and maintenance of the power distribution communication network.
The method for obtaining the characteristic quantity description of the fuzzy association rule of the operation and maintenance management of the power distribution communication network by adopting a descriptive statistical analysis method comprises the following steps:
Figure 248921DEST_PATH_IMAGE058
wherein,
Figure 737671DEST_PATH_IMAGE059
Figure 474683DEST_PATH_IMAGE060
for fault analysis and visualization of the positioning variables,
Figure 732489DEST_PATH_IMAGE061
and
Figure 365595DEST_PATH_IMAGE062
respectively, representing different control vectors.
By adopting a method of fusion management of fault analysis and visual positioning, the optimized confidence level of the power distribution communication network management is obtained as follows:
Figure 341641DEST_PATH_IMAGE063
wherein,
Figure 616765DEST_PATH_IMAGE064
and (3) adopting a fusion management mode to realize the fusion management of the power distribution communication network and the optimization of the operation and maintenance mode under a Probity multiple regression analysis model for endogenous control variables.
The invention provides an operation and maintenance method of a power distribution communication network, which comprises the following steps: constructing a data analysis model of operation and maintenance management and control of the power distribution communication network by adopting a big data analysis method; according to the data analysis model of operation and maintenance control, operation, maintenance control and scheduling are carried out on the power distribution communication network; and (4) performing self-adaptive training on operation and maintenance control of the power distribution communication network by adopting a fusion management method. The method comprises the steps of establishing a data analysis model of power distribution communication network operation and maintenance management and control by adopting big data fusion, researching a support system of the power distribution communication network operation and maintenance based on the operation and maintenance management and control requirement of the power distribution communication network by combining the operation and maintenance characteristics and professional characteristics of the power distribution communication network, establishing a power distribution communication device and network management and control layer general information model, and performing the operation and maintenance management and control of the power distribution communication network by adopting a big data analysis method, so that the integrated intelligent monitoring, fault analysis and visual positioning management and control of the power distribution communication network are realized, the safe and reliable operation of the power distribution communication network is guaranteed, the communication resource integration optimization and the service quality improvement are realized, and the purpose of improving the intelligent operation and maintenance management and control level of the power distribution communication network is realized.
Example two
In order to better understand the technical content of the present invention, the second embodiment provides a specific implementation manner, and the operation and maintenance method of the power distribution communication network provided in the first embodiment is further described:
and (3) combining Statistical Product and Service Solutions (SPSS) Statistical analysis software and a Matlab 7 simulation tool to perform big data analysis of operation and maintenance management of the power distribution communication network. For example, assuming that the sampling time interval of the management information of the power distribution communication network is 1.24s, the data sample length is 2000, the training set scale is 200, and the dimension of the attribute set is 4, the comprehensive sampling of the configuration data, the alarm information, the performance data, the resource data, the service data and the operation data of the power distribution communication network is performed, and the obtained statistical analysis values are shown in table 1.
TABLE 1
Variable names Variable code Mean value Standard value Minimum value
Configuring data BL 0.635 0.432 0.156
Alarm information FLK 0.565 0.545 0.134
Performance data COL 0.545 0.675 0.164
Resource data UKSOL 0.689 0.444 0.125
Service data Size 0.454 0.543 0.156
Operational data KLI 0.545 0.535 0.254
Regression standard deviation STD 0.688 0.567 0.143
According to the results shown in table 1, power distribution communication network management and operation and maintenance mode optimization are performed, the number of effective nodes managed by the power distribution communication network under different support degrees is tested, and the obtained results are shown in fig. 2; the execution time of the operation and maintenance management is tested, and the obtained result is shown in fig. 3.
As can be seen from fig. 2, the number of effective nodes for operation and maintenance management of the power distribution communication network by using the method of the present invention is high, which indicates that the reliability of management is good. As can be seen from fig. 3, the execution time of the operation and maintenance management of the power distribution communication network by using the method of the present invention is significantly less than that of the conventional method, so that the method of the present invention is used for the operation and maintenance mode design of the power distribution communication network, thereby effectively improving the management efficiency and reducing the execution time.
Therefore, the invention can realize the comprehensive control of the configuration data, the alarm information, the performance data, the resource data, the service data and the operation data of the power distribution communication network, realize the integrated control of the comprehensive intelligent monitoring, the fault analysis and the visual positioning of the equipment, ensure the safe and reliable operation of the power distribution communication network, the integration and optimization of the communication resources and the improvement of the service quality, and further realize the purpose of improving the intelligent operation and maintenance control level of the power distribution communication network.
EXAMPLE III
Fig. 4 is a schematic structural diagram of an operation and maintenance device of a power distribution communication network according to a third embodiment, as shown in fig. 4, including: the system comprises a model building module 10, a scheduling module 11 and a training module 12;
the model building module 10 is used for building a data analysis model of operation and maintenance management and control of the power distribution communication network by adopting a big data analysis method;
the scheduling module 11 is configured to perform operation, maintenance, control and scheduling on the power distribution communication network according to the data analysis model for operation, maintenance, control and management;
and the training module 12 is configured to perform adaptive training on the operation and maintenance management and control of the power distribution communication network by using a fusion management method.
The operation and maintenance device of the power distribution communication network provided in this embodiment is an operation and maintenance method of the power distribution communication network in the above embodiment, and the implementation principle and technical effect of the operation and maintenance device of the power distribution communication network provided in this embodiment are similar to those of the above embodiment, and are not described here again.
Optionally, the model building module 10 is specifically configured to adopt a big data analysis method, fuse big data information, and build a data analysis model of operation and maintenance management and control of the power distribution communication network, where the big data information at least includes: configuration data, alarm information, performance data, resource data, service data and operation data of the power distribution communication network.
Optionally, the operation and maintenance control data analysis model is as follows:
Figure 729078DEST_PATH_IMAGE065
wherein,
Figure 64244DEST_PATH_IMAGE002
and
Figure 262007DEST_PATH_IMAGE003
traffic data control level feature samples are managed for a power distribution communication network,
Figure 340822DEST_PATH_IMAGE004
and
Figure 540596DEST_PATH_IMAGE005
and b, representing the characteristic values of the service data under different conditions, and controlling the characteristic classification attribute of the service data control level of the operation and maintenance control of the power distribution communication network.
Optionally, the scheduling module 11 is specifically configured to construct an operation and maintenance control scheduling model of the power distribution communication network according to the operation and maintenance control data analysis model; and performing operation, maintenance, control and scheduling on the power distribution communication network by using the operation, maintenance, control and scheduling model.
Optionally, the operation and maintenance management and control scheduling model is as follows:
Figure 46664DEST_PATH_IMAGE006
wherein,
Figure 731723DEST_PATH_IMAGE007
Figure 348650DEST_PATH_IMAGE008
the operation and maintenance modes are single event operation and maintenance modes of the power distribution communication network respectively;
Figure 169975DEST_PATH_IMAGE009
Figure 846944DEST_PATH_IMAGE010
are respectively as
Figure 19299DEST_PATH_IMAGE007
Corresponding n operation and maintenance samples …,
Figure 439916DEST_PATH_IMAGE066
Figure 115748DEST_PATH_IMAGE012
Are respectively as
Figure 963619DEST_PATH_IMAGE008
Corresponding n operation and maintenance samples.
Optionally, the training module 12 is specifically configured to construct an adaptive learning model of operation and maintenance management and control of the power distribution communication network by using a fusion management method; and carrying out self-adaptive training on the operation and maintenance control of the power distribution communication network by using the self-adaptive learning model.
Optionally, the adaptive learning model is:
Figure 623270DEST_PATH_IMAGE067
wherein,
Figure 581999DEST_PATH_IMAGE014
Figure 876452DEST_PATH_IMAGE015
and
Figure 629644DEST_PATH_IMAGE068
traffic data control level feature samples are managed for a power distribution communication network,
Figure 776592DEST_PATH_IMAGE017
and b, representing the characteristic values of the service data under different conditions, and controlling the characteristic classification attribute of the service data control level of the operation and maintenance control of the power distribution communication network.
Example four
Fig. 5 is a schematic structural diagram of an operation and maintenance device of a power distribution communication network according to a fourth embodiment, as shown in fig. 5, the operation and maintenance device of the power distribution communication network includes a processor 30, a memory 31, and a communication interface 32; the number of the processors 30 in the operation and maintenance device of the power distribution communication network can be one or more, and one processor 30 is taken as an example in fig. 5; the processor 30, the memory 31 and the communication interface 32 in the operation and maintenance device of the power distribution communication network may be connected through a bus or other means, and fig. 5 illustrates the connection through the bus as an example. A bus represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures.
The memory 31, which is a computer-readable storage medium, may be configured to store software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the methods in the embodiments of the present invention. The processor 30 executes at least one functional application of the operation and maintenance device of the power distribution communication network and data processing by executing the software program, instructions and modules stored in the memory 31, so as to implement the method described above.
The memory 31 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created from use of the operation and maintenance devices of the power distribution communication network, and the like. Further, the memory 31 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, memory 31 may include memory located remotely from processor 30, which may be connected to an operation and maintenance device of a power distribution communication network through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The communication interface 32 may be configured for the reception and transmission of data.
EXAMPLE five
Fig. 6 is an architecture diagram of an operation and maintenance system of a power distribution communication network according to a fifth embodiment, as shown in fig. 6, the system mainly includes a user interaction layer, a service layer, a data storage layer, and a data acquisition layer, and all the layers cooperate with each other to implement unified management of a managed network.
The user interaction layer is responsible for processing information display and interaction processing related to system users, guiding the users to finish corresponding operations and realizing the safe access of the users to access all service applications; the WEB interactive interface is provided for users, and various system functions and data related to managed equipment (including reports, state monitoring, network topology diagrams, historical data graphical displays and the like) are presented by rich elements such as menus, tables, graphs, animations and the like.
The service layer realizes the management function of the system, which mainly comprises: resource management class function: device management, resource management, topology discovery, and data management; monitoring management functions: equipment monitoring, network monitoring and event alarming; statistical analysis class function: historical data, statistical analysis, Internet Protocol (IP) address management; network maintenance type function: maintenance tools such as ping (internet packet explorer), Traceroute, routing table management, Control Unit (CU) measurement, and the like;
the data storage layer is responsible for generally processing (for example, converting bit units into byte units) the original data collected by the data collection layer and storing the processed original data in a corresponding data storage, and meanwhile, formatting and storing the user application data.
The data acquisition layer realizes the on-line automatic acquisition of management information according to different network management interface acquisition methods, communicates with the managed equipment through various data acquisition protocols, directly or indirectly acquires the monitoring management data of the managed equipment and provides the monitoring management data to an upper service layer for subsequent monitoring analysis logic processing and service display, the data acquisition layer comprises various communication protocol adaptations required for data acquisition with the managed equipment, and the method comprises the following steps: control Message Protocol (ICMP), Telnet (remote terminal Protocol), Secure Shell Protocol (SSH), SNMP (Simple network management Protocol), Extensible Markup Language (XML), Common Object Request Broker Architecture (CORBA), HTTP (hypertext transfer Protocol), Syslog (system log or system record), Simple Object Access Protocol (SOAP), and other communication protocols.
Embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method provided in any embodiment of the present invention.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. Computer-readable storage media include (a non-exhaustive list): an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a Read-Only Memory (ROM), an erasable programmable Read-Only Memory (EPROM), a flash Memory, an optical fiber, a portable Compact Disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, Radio Frequency (RF), etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, Ruby, Go, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of Network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It will be clear to a person skilled in the art that the term user terminal covers any suitable type of wireless user equipment, such as a mobile phone, a portable data processing device, a portable web browser or a car mounted mobile station.
In general, the various embodiments of the invention may be implemented in hardware or special purpose circuits, software, logic or any combination thereof. For example, some aspects may be implemented in hardware, while other aspects may be implemented in firmware or software which may be executed by a controller, microprocessor or other computing device, although the invention is not limited thereto.
Embodiments of the invention may be implemented by a data processor of a mobile device executing computer program instructions, for example in a processor entity, or by hardware, or by a combination of software and hardware. The computer program instructions may be assembly instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages.
Any logic flow block diagrams in the figures of the present invention may represent program steps, or may represent interconnected logic circuits, modules, and functions, or may represent a combination of program steps and logic circuits, modules, and functions. The computer program may be stored on a memory. The memory may be of any type suitable to the local technical environment and may be implemented using any suitable data storage technology, such as, but not limited to, Read Only Memory (ROM), Random Access Memory (RAM), optical storage devices and systems (digital versatile disks, DVDs, or CD discs), etc. The computer readable medium may include a non-transitory storage medium. The data processor may be of any type suitable to the local technical environment, such as but not limited to general purpose computers, special purpose computers, microprocessors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Programmable logic devices (FGPAs), and processors based on a multi-core processor architecture.

Claims (8)

1. An operation and maintenance method for a power distribution communication network is characterized by comprising the following steps:
constructing a data analysis model of operation and maintenance management and control of the power distribution communication network by adopting a big data analysis method;
the method for constructing the operation and maintenance control data analysis model of the power distribution communication network by adopting the big data analysis method comprises the following steps:
by adopting the big data analysis method, big data information is fused, and a data analysis model of operation and maintenance management and control of the power distribution communication network is constructed, wherein the big data information at least comprises the following components: configuration data, alarm information, performance data, resource data, service data and operation data of the power distribution communication network;
wherein, the data analysis model of the operation and maintenance management and control is as follows:
Figure DEST_PATH_IMAGE002
wherein,
Figure DEST_PATH_IMAGE004
and
Figure DEST_PATH_IMAGE006
governing a traffic data control level feature sample for the power distribution communication network,
Figure DEST_PATH_IMAGE008
and
Figure DEST_PATH_IMAGE010
characteristic values representing traffic data under different conditions, b being said distributionThe communication network operation and maintenance management and control service data control level feature classification attribute;
according to the data analysis model of the operation and maintenance control, operation and maintenance control scheduling is carried out on the power distribution communication network;
and performing self-adaptive training on the operation and maintenance control of the power distribution communication network by adopting a fusion management method.
2. The method of claim 1, wherein the performing operation and maintenance management and scheduling on the power distribution communication network according to the operation and maintenance managed data analysis model comprises:
according to the operation and maintenance control data analysis model, an operation and maintenance control scheduling model of the power distribution communication network is built;
and performing operation, maintenance, control and scheduling on the power distribution communication network by using the operation, maintenance, control and scheduling model.
3. The method of claim 2, wherein the operation and maintenance management and control scheduling model is:
Figure DEST_PATH_IMAGE012
wherein,
Figure DEST_PATH_IMAGE014
Figure DEST_PATH_IMAGE016
the operation and maintenance modes are single event operation and maintenance modes of the power distribution communication network respectively;
Figure DEST_PATH_IMAGE018
Figure DEST_PATH_IMAGE020
are respectively as
Figure 981086DEST_PATH_IMAGE014
Corresponding n operation and maintenance samples …,
Figure DEST_PATH_IMAGE022
Figure DEST_PATH_IMAGE024
Are respectively as
Figure 632910DEST_PATH_IMAGE016
Corresponding n operation and maintenance samples.
4. The method according to claim 1, wherein the adaptively training the operation and maintenance management and control of the power distribution communication network by using the converged management method comprises:
constructing an adaptive learning model of operation and maintenance management and control of the power distribution communication network by adopting a fusion management method;
and carrying out self-adaptive training on the operation and maintenance control of the power distribution communication network by utilizing the self-adaptive learning model.
5. The method of claim 4, wherein the adaptive learning model is:
Figure DEST_PATH_IMAGE026
wherein,
Figure DEST_PATH_IMAGE028
Figure DEST_PATH_IMAGE030
and
Figure DEST_PATH_IMAGE032
governing a traffic data control level feature sample for the power distribution communication network,
Figure DEST_PATH_IMAGE033
and b, representing the characteristic values of the service data under different conditions, and controlling the characteristic classification attribute of the service data control level of the operation and maintenance control of the power distribution communication network.
6. An operation and maintenance device for a power distribution communication network, comprising: the system comprises a model building module, a scheduling module and a training module;
the model construction module is used for constructing a data analysis model of operation and maintenance management and control of the power distribution communication network by adopting a big data analysis method;
the scheduling module is used for performing operation, maintenance, control and scheduling on the power distribution communication network according to the data analysis model of the operation, maintenance, control and scheduling;
the training module is used for carrying out self-adaptive training on the operation and maintenance control of the power distribution communication network by adopting a fusion management method;
the model building module is specifically used for building a data analysis model of operation and maintenance management and control of the power distribution communication network by adopting a big data analysis method and fusing big data information, wherein the big data information at least comprises: configuration data, alarm information, performance data, resource data, service data and operation data of the power distribution communication network;
the operation and maintenance control data analysis model is as follows:
Figure 618052DEST_PATH_IMAGE002
wherein,
Figure 20215DEST_PATH_IMAGE004
and
Figure 954673DEST_PATH_IMAGE006
traffic data control level feature samples are managed for a power distribution communication network,
Figure 42976DEST_PATH_IMAGE008
and
Figure 568DEST_PATH_IMAGE010
and b, representing the characteristic values of the service data under different conditions, and controlling the characteristic classification attribute of the service data control level of the operation and maintenance control of the power distribution communication network.
7. An operation and maintenance device for a power distribution communication network, comprising: processor for implementing the operation and maintenance method of the power distribution communication network according to any of claims 1-5 when executing a computer program.
8. A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out a method of operation and maintenance of a power distribution communication network according to any one of claims 1 to 5.
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