CN116389316A - Fault sensing method, device, equipment and storage medium for power optical communication network - Google Patents
Fault sensing method, device, equipment and storage medium for power optical communication network Download PDFInfo
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Abstract
The invention provides a power optical communication network fault sensing method, a device, equipment and a storage medium, wherein the method comprises the following steps: collecting operation state data of an electric power optical communication network; selecting a corresponding membership function model to calculate an index layer score; constructing an index layer fuzzy judgment matrix, and calculating element weights of the index layer; calculating a criterion layer score based on the index layer score and the weights; constructing a criterion layer fuzzy judgment matrix and calculating the element weight of the criterion layer; calculating a power optical communication network fault perception score based on the criterion layer score and the weight; and uploading the reliable running state data to the electric power optical communication digital twin network, training the digital twin model to predict future running data of the electric power optical communication network, and performing fault perception prediction on the electric power optical communication network based on the predicted data. The invention can perform fault sensing and early warning on the power optical communication network, and effectively improves the accuracy of fault sensing on the power optical communication network.
Description
Technical Field
The present invention relates to the field of fault sensing technologies, and in particular, to a method, an apparatus, a device, and a storage medium for sensing a fault in an electric power optical communication network.
Background
The power optical communication network is used as the most important component of the power communication network, carries the transmission of various business data, and has higher requirements in the aspects of speed, bandwidth, reliability and the like. When the novel power equipment is connected into the power grid, the processing difficulty of massive power data is obviously increased, and the realization of fault early warning through fault perception faces the development bottleneck. The fault sensing of the electric power optical communication network is realized by extracting reasonable and effective analysis data according to a plurality of evaluation indexes, so that a control decision unit of the system can accurately acquire the running state of each link of the power grid. However, the performance evaluation indexes of the electric power optical communication network have the characteristics of various kinds, different indexes and the like, and the traditional fault perception based on the analytic hierarchy process has stronger subjectivity and cannot objectively reflect the real situation of network faults.
The prior art has the following problems: 1. the complexity of the existing fault sensing method based on the deep neural network is too high, and especially when novel power equipment is connected into a power grid, namely, the topology of the power optical communication network is changed, the original neural network is not applicable any more and retraining is needed. In addition, the fault early warning device can only sense the fault after the fault occurs, and can not realize fault early warning. 2. The existing fault perception method based on the analytic hierarchy process has strong subjectivity, is difficult to objectively reflect the real situation of the fault of the power optical communication network, and cannot select a proper number of indexes according to the actual running situation of the network, so that the fault perception accuracy is low.
Disclosure of Invention
The invention aims to provide a method, a device, equipment and a storage medium for sensing faults of an electric power optical communication network, so as to solve the technical problems, thereby being capable of sensing and early warning the faults of the electric power optical communication network and improving the accuracy of the fault sensing of the electric power optical communication network.
In order to solve the technical problems, the invention provides a power optical communication network fault sensing method, which comprises the following steps:
collecting operation state data of an electric power optical communication network; the multi-level fault perception index system of the power optical communication network comprises a target layer, a criterion layer and an index layer;
selecting a corresponding membership function model based on the types of the elements of the index layer to calculate the scores of the elements of the index layer;
constructing an index layer fuzzy judgment matrix according to the scores of all index elements of an index layer, carrying out consistency conversion on the index layer fuzzy judgment matrix, and calculating the weight of the index layer elements;
calculating the scores of all the criterion elements of the criterion layer based on the scores of all the index elements of the index layer and the weights of the index layer elements;
constructing a criterion layer fuzzy judgment matrix according to the scores of all index elements of a criterion layer, carrying out consistency conversion on the criterion layer fuzzy judgment matrix, and calculating the weights of the elements of the criterion layer;
calculating a fault perception score of the power optical communication network based on the scores of all the criterion elements of the criterion layer and the weights of the criterion elements of the criterion layer;
and selecting reliable running state data according to the fault perception scores of the electric power optical communication network, uploading the reliable running state data to the electric power optical communication digital twin network, training a digital twin model to predict future running data of the electric power optical communication network, and carrying out fault perception prediction on the electric power optical communication network based on the predicted data through the multi-level fault perception index system.
Further, the target layer represents an electrical optical communication network body; the criterion layer comprises a resource use criterion, a network operation level criterion, a service support criterion and a communication network operation and maintenance criterion.
Further, in the index layer, index elements belonging to the resource usage criteria include: packet loss rate, online rate, packet error rate, average transmission rate, response time, and channel redundancy; the index elements belonging to the network operation level criteria include: end-to-end transmission delay, optical transmission equipment fault time, optical switch equipment fault time, communication power supply equipment fault time, optical cable fault time and data acquisition module fault time; the index elements belonging to the business support criteria include: service importance, service interruption times, service interruption average time length, service restorability, service transmission stability and service success rate; the index elements belonging to the operation and maintenance criteria of the communication network comprise: the communication network investment amount, the number of on-duty operation and maintenance people, the equipment overhaul execution rate, the number of spare part configuration, the network attack frequency and the security mechanism perfection.
Further, the index element types of the index layer comprise positive correlation index elements, negative correlation index elements and interval correlation index elements; the larger the value of the positive correlation index element is, the higher the reliability of the power optical communication network is, and the lower the potential fault possibility is; for the negative correlation index element, the smaller the value of the negative correlation index element is, the higher the reliability of the power optical communication network is, and the lower the potential fault possibility is; for the interval related index element, when the value of the interval related index element is in a preset interval, the higher the reliability of the electric power optical communication network is represented, the lower the potential fault possibility is, and when the value of the interval related index element is far away from the preset interval, the lower the reliability of the electric power optical communication network is represented, the higher the potential fault possibility is.
Further, the consistency conversion of the index layer fuzzy judgment matrix is specifically as follows:
if the index layer fuzzy judgment matrix does not meet the preset consistency condition, converting the index layer fuzzy judgment matrix into an index layer consistency judgment matrix based on a preset conversion formula;
the consistency conversion of the criterion layer fuzzy judgment matrix is specifically as follows:
and if the criterion layer fuzzy judgment matrix does not meet the preset consistency condition, converting the criterion layer fuzzy judgment matrix into a criterion layer consistency judgment matrix based on a preset conversion formula.
Further, selecting a corresponding membership function model based on the types of the elements of the index layer to calculate the score of each index element of the index layer, which specifically includes:
selecting a corresponding membership function model based on the types of the elements of the index layer, and calculating membership degrees of the elements of the index layer to three fuzzy evaluations of good, medium and poor based on the corresponding membership function model;
and calculating the scores of all index elements of the index layer according to the calculated membership degree of the index layer elements.
The invention also provides a fault sensing device of the power optical communication network, which comprises:
the data acquisition module is used for acquiring the running state data of the power optical communication network; the multi-level fault perception index system of the power optical communication network comprises a target layer, a criterion layer and an index layer;
the index layer element scoring module is used for selecting a corresponding membership function model based on the types of the elements of the index layer to calculate the score of each index element of the index layer;
the index layer weight calculation module is used for constructing an index layer fuzzy judgment matrix according to the scores of all index elements of the index layer, carrying out consistency conversion on the index layer fuzzy judgment matrix and calculating the index layer element weights;
the criterion layer element scoring module is used for calculating the score of each criterion element of the criterion layer based on the score of each index element of the index layer and the weight of each index layer element;
the criterion layer weight calculation module is used for constructing a criterion layer fuzzy judgment matrix according to the scores of all index elements of the criterion layer, carrying out consistency conversion on the criterion layer fuzzy judgment matrix and calculating the criterion layer element weights;
the fault perception scoring module is used for calculating fault perception scores of the power optical communication network based on scores of all criterion elements of the criterion layer and weights of the criterion elements of the criterion layer;
and the fault perception prediction module is used for selecting reliable operation state data according to the fault perception scores of the electric power optical communication network, uploading the reliable operation state data to the electric power optical communication digital twin network, training the digital twin model to predict future operation data of the electric power optical communication network, and carrying out fault perception prediction on the electric power optical communication network based on the prediction data through the multi-stage fault perception index system.
The invention also provides a terminal device comprising a processor and a memory storing a computer program, wherein the processor realizes any power optical communication network fault sensing method when executing the computer program.
The present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method for fault awareness of an electrical optical communication network of any of the above.
Compared with the prior art, the invention has the following beneficial effects:
the invention provides a method, a device, equipment and a storage medium for sensing faults of an electric power optical communication network, wherein the method comprises the following steps: collecting operation state data of an electric power optical communication network; selecting a corresponding membership function model to calculate an index layer score; constructing an index layer fuzzy judgment matrix, and calculating element weights of the index layer; calculating a criterion layer score based on the index layer score and the weights; constructing a criterion layer fuzzy judgment matrix and calculating the element weight of the criterion layer; calculating a power optical communication network fault perception score based on the criterion layer score and the weight; and uploading the reliable running state data to the electric power optical communication digital twin network, training the digital twin model to predict future running data of the electric power optical communication network, and performing fault perception prediction on the electric power optical communication network based on the predicted data. The invention can perform fault sensing and early warning on the power optical communication network, and effectively improves the accuracy of fault sensing on the power optical communication network.
Drawings
Fig. 1 is a schematic flow chart of a fault sensing method of an electric power optical communication network provided by the invention;
fig. 2 is a schematic structural diagram of a digital twin-based optical power communication network according to the present invention;
FIG. 3 is a schematic diagram of a multi-level fault-awareness index system provided by the invention;
fig. 4 is a schematic structural diagram of the fault sensing device for the electric power optical communication network.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, an embodiment of the present invention provides a method for sensing a fault of an electric power optical communication network, which may include the steps of:
s1, collecting operation state data of an electric power optical communication network; the multi-level fault perception index system of the power optical communication network comprises a target layer, a criterion layer and an index layer;
s2, selecting a corresponding membership function model based on the types of the elements of the index layer to calculate the scores of the elements of the index layer;
s3, constructing an index layer fuzzy judgment matrix according to the scores of all index elements of the index layer, carrying out consistency conversion on the index layer fuzzy judgment matrix, and calculating the weights of the index layer elements;
s4, calculating the scores of all the criterion elements of the criterion layer based on the scores of all the index elements of the index layer and the weights of the index layer elements;
s5, constructing a criterion layer fuzzy judgment matrix according to the scores of all index elements of the criterion layer, carrying out consistency conversion on the criterion layer fuzzy judgment matrix, and calculating the weights of the elements of the criterion layer;
s6, calculating a fault perception score of the power optical communication network based on the scores of all the criterion elements of the criterion layer and the weights of the criterion elements;
and S7, selecting reliable operation state data according to the fault perception scores of the electric power optical communication network, uploading the operation state data to the electric power optical communication digital twin network, training a digital twin model to predict future operation data of the electric power optical communication network, and carrying out fault perception prediction on the electric power optical communication network based on the prediction data through the multi-stage fault perception index system.
In the embodiment of the invention, further, the target layer represents an electric power optical communication network body; the criterion layer comprises a resource use criterion, a network operation level criterion, a service support criterion and a communication network operation and maintenance criterion.
In the embodiment of the present invention, further, in the index layer, index elements belonging to a resource usage criterion include: packet loss rate, online rate, packet error rate, average transmission rate, response time, and channel redundancy; the index elements belonging to the network operation level criteria include: end-to-end transmission delay, optical transmission equipment fault time, optical switch equipment fault time, communication power supply equipment fault time, optical cable fault time and data acquisition module fault time; the index elements belonging to the business support criteria include: service importance, service interruption times, service interruption average time length, service restorability, service transmission stability and service success rate; the index elements belonging to the operation and maintenance criteria of the communication network comprise: the communication network investment amount, the number of on-duty operation and maintenance people, the equipment overhaul execution rate, the number of spare part configuration, the network attack frequency and the security mechanism perfection.
In the embodiment of the present invention, further, the index element types of the index layer include a positive correlation index element, a negative correlation index element, and an interval correlation index element; the larger the value of the positive correlation index element is, the higher the reliability of the power optical communication network is, and the lower the potential fault possibility is; for the negative correlation index element, the smaller the value of the negative correlation index element is, the higher the reliability of the power optical communication network is, and the lower the potential fault possibility is; for the interval related index element, when the value of the interval related index element is in a preset interval, the higher the reliability of the electric power optical communication network is represented, the lower the potential fault possibility is, and when the value of the interval related index element is far away from the preset interval, the lower the reliability of the electric power optical communication network is represented, the higher the potential fault possibility is.
In the embodiment of the present invention, further, the consistency conversion is performed on the index layer fuzzy judgment matrix, specifically:
if the index layer fuzzy judgment matrix does not meet the preset consistency condition, converting the index layer fuzzy judgment matrix into an index layer consistency judgment matrix based on a preset conversion formula;
the consistency conversion of the criterion layer fuzzy judgment matrix is specifically as follows:
and if the criterion layer fuzzy judgment matrix does not meet the preset consistency condition, converting the criterion layer fuzzy judgment matrix into a criterion layer consistency judgment matrix based on a preset conversion formula.
In the embodiment of the present invention, further, selecting a corresponding membership function model based on the types of the elements of the index layer to calculate the score of each index element of the index layer, specifically includes:
selecting a corresponding membership function model based on the types of the elements of the index layer, and calculating membership degrees of the elements of the index layer to three fuzzy evaluations of good, medium and poor based on the corresponding membership function model;
and calculating the scores of all index elements of the index layer according to the calculated membership degree of the index layer elements.
Based on the above scheme, in order to better understand the fault sensing method of the power optical communication network provided by the embodiment of the invention, the following details are described:
it should be noted that, digital twin is used as an effective means for implementing fault early warning of the electric power optical communication network, and the power grid information control system can accurately monitor the health degree of the electric power equipment and the electric power service by constructing an electric power optical communication network fault sensing system based on digital twin, so as to implement performance evaluation and analysis of the electric power optical communication network, prompt operation staff to remove hidden danger in time, and implement active operation and maintenance of the electric power optical communication network. By means of digital twin, the real-time state of the physical entity can be directly known on the informatization platform, future operation data of the power optical communication network are predicted by mining deep relation among research objects of the entity network, and fault early warning is achieved. Therefore, there is a need to design a digital twin-based power optical communication network fault perception system.
Aiming at the problems existing in the prior art, the embodiment of the invention aims at: 1. constructing an electric power optical communication digital twin network by utilizing a digital twin technology and combining information such as equipment, environmental states and the like of the electric power optical communication network, training a digital twin model according to high-reliability electric power optical communication network operation data on the basis, and realizing electric power optical communication network fault prediction; 2. by constructing a multi-level fault perception index system and establishing a fuzzy judgment matrix by adopting an index scale method, the relative importance among matrix elements can be dynamically adjusted according to actual conditions, the influence of personal subjective preference is avoided, and the method is suitable for accurate evaluation of fault perception of an electric power optical communication network.
The embodiment of the invention can be realized by the following steps:
step one, constructing an electric power optical communication network based on digital twinning. In order to meet the analysis of the power grid operation technical requirements, a digital twin-based power optical communication network system is designed, as shown in fig. 2. The system comprises:
1. a power optical communications network;
2. a multi-level fault perception index system;
3. a digital twin network for power optical communication.
The electrical optical communication network includes numerous optical communication devices such as optical switches, optical splitters, and the like. According to the method, fault perception evaluation can be performed on the power optical communication network according to data which is acquired from the power optical communication network and contains a plurality of optical communication equipment characteristics, and meanwhile training of the power optical communication digital twin network can be achieved based on the data of the power optical communication network with high reliability. On the other hand, the electric power optical communication digital twin network can perform fault perception prediction on the operation data of the electric power optical communication network. And the operation state of the power optical communication network is estimated based on the prediction data, possible faults of the power optical communication network are early warned in time, on-site operation and maintenance personnel are guided to maintain the power optical communication network in a targeted manner, and the operation reliability of the power optical communication network is greatly improved.
And step two, constructing a multistage fault perception index system of the power optical communication network. In order to more comprehensively and effectively perform fault perception evaluation on the power optical communication network, the power optical communication network fault perception evaluation method comprises the steps of performing power optical communication network fault perception evaluation from four aspects of resource use, network operation level, service support and communication network operation and maintenance, and constructing a multi-level fault perception index system on the basis, wherein the system comprises a target layer, a criterion layer and an index layer from top to bottom, and the logic relation among the layers and the contained specific content are shown in figure 3.
The target layer is an electric power optical communication network body. The embodiment of the invention aims at evaluating the fault perception of the power optical communication network, so that the power optical communication network body is selected as a target layer element.
The criterion layer comprises a resource use criterion, a network operation level criterion, a service support criterion and a communication network operation and maintenance criterion. The embodiment of the invention deploys and evaluates the fault awareness of the power optical communication network from the four criteria.
The index layer comprises various indexes collected in the power optical communication network. When the power optical communication network fails, the corresponding index in the network is abnormal. Therefore, fault perception of the whole power optical communication network can be realized by monitoring and evaluating various indexes in the power optical communication network. The embodiment of the invention selects four types of criteria with 24 indexes respectively belonging to a criterion layer.
And thirdly, grading indexes in an index layer of the multi-level fault perception index system. According to the embodiment of the invention, unified scoring of different indexes is realized by constructing different membership function models, fuzzy evaluation of each index is realized based on membership functions, and the influence of artificial subjective factors on index scoring in a multi-level fault perception index system can be effectively reduced.
Considering that different indexes in the power optical communication network have different relations with fault perception, firstly, each index in the power optical communication network is classified into three types of positive correlation indexes, negative correlation indexes and interval correlation indexes. For the positive correlation index, the larger the value is, the higher the reliability of the power optical communication network is, and the lower the potential fault possibility is; for the negative correlation index, the smaller the value is, the higher the reliability of the power optical communication network is, and the lower the potential fault possibility is; for the section-related element, when the value thereof is in a certain section, the reliability of the electric power optical communication network is higher, the potential failure probability is lower, and when the value thereof is far away from the certain section, the reliability of the electric power optical communication network is lower, the potential failure probability is higher. Aiming at the three indexes, the embodiment of the invention respectively provides three membership function models: a positive correlation membership function model, a negative correlation membership function model and an interval correlation membership function model.
And step four, grading the criteria in the criterion layer of the multi-level fault perception indicator system. Firstly, constructing a fuzzy judgment matrix of an index layer in a multi-level fault perception index system based on an index scale method; secondly, consistency test and consistency conversion of the fuzzy judgment matrix are carried out; and finally, calculating the index weight in the multi-level fault perception index system and calculating the scores of all the criteria in the criterion layer of the multi-level fault perception index system on the basis.
The fuzzy judgment matrix is a matrix for describing the importance relation among index layer elements, and the fuzzy judgment matrix of indexes contained in the criterion b in the multi-level fault perception index system is defined as
Namely:
wherein: k represents the number of indexes contained in a criterion b in a multi-level fault perception index system;
the importance degree of the index m relative to the index n contained in the criterion b in the multi-level fault perception index system is represented, wherein m, n=1, 2, l, k.
The embodiment of the invention adopts an index scale method with higher precision to scale the importance relation among different indexes contained in the criterion b in the multi-level fault perception index system.
In the fault sensing process based on digital twinning, the calculation of each index weight in the multi-level fault sensing index system requires the fuzzy judgment matrix of the index layer to meet consistency. If fuzzy judgment matrix
For->
The method meets the following conditions:
the fuzzy judgment matrix is called as a fuzzy consistency judgment matrix.
And judging whether the fuzzy judgment matrix meets consistency or not by using a formula (2). If the consistency condition is met, calculating the weight of each index in the multi-level fault perception index system; if the consistency condition is not satisfied, the fuzzy judgment matrix R can be judged by adopting the formula (3) b Consistency conversion is carried out, and then a fuzzy judgment matrix R is obtained b Reconstruction into fuzzy consistency judgment matrix
Wherein:
and->
Respectively represent the fuzzy judgment matrix R b The sum of the elements of the m-th and n-th row, i.e. +.>
Fuzzy consistency judgment matrix for index layers of multi-level fault perception index system
In the multi-level fault perception index system, the weight and state layer fuzzy consistency judgment matrix of indexes m and n contained in a criterion b is +.>
Element->
The relation between the two is:
wherein:
and->
The weights of the mth and nth indexes contained in the criterion b in the multi-level fault perception index system are respectively represented, s is a parameter, and a boundary value is usually taken.
Then the least square method is used to calculate the weight of the index m contained in the criterion b in the multi-level fault perception index system
The method comprises the following steps:
finally, based on the obtained index weight
The score X of the criterion b in the multi-level fault perception index system can be calculated by scoring with each index b 。
And fifthly, performing fault perception scoring on the power optical communication network. According to the grading of each criterion in the criterion layer of the multi-level fault perception indicator system obtained in the step four, the invention adopts a weight-changing method to construct a fuzzy judgment matrix for describing the relation between each criterion in the criterion layer of the multi-level fault perception indicator system
Wherein J is the number of criteria contained in the criteria layer of the multi-level fault perception indicator system. Element->
The calculation formula of (2) is as follows:
wherein: x is X i And X j Is the corresponding score of the criteria i and j in the criterion layer of the multi-level fault perception index system.
Then, the consistency test is carried out on the criterion layer fuzzy judgment matrix of the multi-level fault perception index system by utilizing the formula (2), if R a If the consistency condition is not satisfied, R is determined according to the formula (7) a Conversion to fuzzy consistency decision matrix
Wherein (1)>
The calculation formula is as follows:
wherein:
and->
Respectively represent the fuzzy judgment matrix R a The sum of the elements of row i and row j, i.e. +.>
Fuzzy consistency judgment matrix based on formula (5) and multi-level fault perception index system criterion layer
Calculating the weight of each criterion in the criterion layer of the multi-level fault perception indicator system>
Finally, based on the obtained criterion weights
Score X with each criterion i The final power optical communication network fault perception score S may be calculated as:
wherein X is i And (3) scoring the criterion i in the multi-level fault perception index system calculated according to the step four.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
1. according to the digital twinning-based power optical communication network fault sensing method provided by the embodiment of the invention, a digital twinning model of the power optical communication network is constructed, the operation data of the power optical communication network is predicted by mining deep connection among research objects of the entity network, and fault early warning is carried out on the power optical communication network based on the predicted data, so that the digital twinning-oriented power optical communication network fault sensing and early warning are realized.
2. The embodiment of the invention provides a multilevel fault perception index system for an electric power optical communication network, which is suitable for accurately evaluating fault perception of the electric power optical communication network by establishing a fuzzy judgment matrix by adopting an index scale method and dynamically adjusting the relative importance among matrix elements, thereby improving the adaptability of weights to actual fault perception requirements, avoiding the influence of personal subjective preference of a specialist in the weight determination process.
It should be noted that, for simplicity of description, the above method or flow embodiments are all described as a series of combinations of acts, but it should be understood by those skilled in the art that the embodiments of the present invention are not limited by the order of acts described, as some steps may occur in other orders or concurrently in accordance with the embodiments of the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are all alternative embodiments and that the actions involved are not necessarily required for the embodiments of the present invention.
Referring to fig. 4, an embodiment of the present invention further provides a device for sensing a fault of an electrical power optical communication network, including:
the data acquisition module 1 is used for acquiring the running state data of the power optical communication network; the multi-level fault perception index system of the power optical communication network comprises a target layer, a criterion layer and an index layer;
the index layer element scoring module 2 is used for selecting a corresponding membership function model based on the types of the elements of the index layer to calculate the score of each index element of the index layer;
the index layer weight calculation module 3 is used for constructing an index layer fuzzy judgment matrix according to the scores of all index elements of the index layer, carrying out consistency conversion on the index layer fuzzy judgment matrix, and calculating the index layer element weights;
a criterion layer element scoring module 4, configured to calculate a score of each criterion element of the criterion layer based on the score of each criterion element of the criterion layer and the weight of each criterion element of the criterion layer;
the criterion layer weight calculation module 5 is used for constructing a criterion layer fuzzy judgment matrix according to the scores of all index elements of the criterion layer, carrying out consistency conversion on the criterion layer fuzzy judgment matrix, and calculating the weights of the elements of the criterion layer;
the fault perception scoring module 6 is used for calculating fault perception scores of the power optical communication network based on scores of all criterion elements of the criterion layer and weights of the criterion elements;
and the fault perception prediction module 7 is used for selecting reliable operation state data according to the fault perception scores of the electric power optical communication network, uploading the reliable operation state data to the electric power optical communication digital twin network, training a digital twin model to predict future operation data of the electric power optical communication network, and carrying out fault perception prediction on the electric power optical communication network based on the prediction data through the multi-stage fault perception index system.
It can be understood that the embodiment of the device item corresponds to the embodiment of the method item of the invention, and the device for sensing the fault of the electric power optical communication network provided by the embodiment of the invention can realize the method for sensing the fault of the electric power optical communication network provided by any one of the embodiment of the method item of the invention.
The present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method for fault awareness of an electrical optical communication network of any of the above.
It should be noted that the above-described apparatus embodiments are merely illustrative, and the units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. In addition, in the drawings of the embodiment of the device provided by the invention, the connection relation between the modules represents that the modules have communication connection, and can be specifically implemented as one or more communication buses or signal lines. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
It will be clear to those skilled in the art that, for convenience and brevity, the specific working process of the apparatus described above may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
The terminal device may be a computing device such as a desktop computer, a notebook computer, a palm computer, a cloud server, etc. The terminal device may include, but is not limited to, a processor, a memory.
The processor may be a central processing unit (Central Processing Unit, CPU), other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is a control center of the terminal device, and which connects various parts of the entire terminal device using various interfaces and lines.
The memory may be used to store the computer program, and the processor may implement various functions of the terminal device by running or executing the computer program stored in the memory and invoking data stored in the memory. The memory may mainly 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, and the like; the storage data area may store data created according to the use of the cellular phone, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other volatile solid-state storage device.
The storage medium is a computer readable storage medium, and the computer program is stored in the computer readable storage medium, and when executed by a processor, the computer program can implement the steps of the above-mentioned method embodiments. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the computer readable medium contains content that can be appropriately scaled according to the requirements of jurisdictions in which such content is subject to legislation and patent practice, such as in certain jurisdictions in which such content is subject to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.
While the foregoing is directed to the preferred embodiments of the present invention, it will be appreciated by those skilled in the art that changes and modifications may be made without departing from the principles of the invention, such changes and modifications are also intended to be within the scope of the invention.
Claims (10)
1. A method for fault awareness of an electrical optical communication network, comprising:
collecting operation state data of an electric power optical communication network; the multi-level fault perception index system of the power optical communication network comprises a target layer, a criterion layer and an index layer;
selecting a corresponding membership function model based on the types of the elements of the index layer to calculate the scores of the elements of the index layer;
constructing an index layer fuzzy judgment matrix according to the scores of all index elements of an index layer, carrying out consistency conversion on the index layer fuzzy judgment matrix, and calculating the weight of the index layer elements;
calculating the scores of all the criterion elements of the criterion layer based on the scores of all the index elements of the index layer and the weights of the index layer elements;
constructing a criterion layer fuzzy judgment matrix according to the scores of all index elements of a criterion layer, carrying out consistency conversion on the criterion layer fuzzy judgment matrix, and calculating the weights of the elements of the criterion layer;
calculating a fault perception score of the power optical communication network based on the scores of all the criterion elements of the criterion layer and the weights of the criterion elements of the criterion layer;
and selecting reliable running state data according to the fault perception scores of the electric power optical communication network, uploading the reliable running state data to the electric power optical communication digital twin network, training a digital twin model to predict future running data of the electric power optical communication network, and carrying out fault perception prediction on the electric power optical communication network based on the predicted data through the multi-level fault perception index system.
2. The method of claim 1, wherein the target layer represents an optical power communication network entity; the criterion layer comprises a resource use criterion, a network operation level criterion, a service support criterion and a communication network operation and maintenance criterion.
3. A method of power optical communication network failure perception according to claim 2, wherein in the index layer, the index elements belonging to the resource usage criteria comprise: packet loss rate, online rate, packet error rate, average transmission rate, response time, and channel redundancy; the index elements belonging to the network operation level criteria include: end-to-end transmission delay, optical transmission equipment fault time, optical switch equipment fault time, communication power supply equipment fault time, optical cable fault time and data acquisition module fault time; the index elements belonging to the business support criteria include: service importance, service interruption times, service interruption average time length, service restorability, service transmission stability and service success rate; the index elements belonging to the operation and maintenance criteria of the communication network comprise: the communication network investment amount, the number of on-duty operation and maintenance people, the equipment overhaul execution rate, the number of spare part configuration, the network attack frequency and the security mechanism perfection.
4. A power optical communication network failure sensing method according to claim 3, wherein the index element types of the index layer include positive correlation index elements, negative correlation index elements and interval correlation index elements; the larger the value of the positive correlation index element is, the higher the reliability of the power optical communication network is, and the lower the potential fault possibility is; for the negative correlation index element, the smaller the value of the negative correlation index element is, the higher the reliability of the power optical communication network is, and the lower the potential fault possibility is; for the interval related index element, when the value of the interval related index element is in a preset interval, the higher the reliability of the electric power optical communication network is represented, the lower the potential fault possibility is, and when the value of the interval related index element is far away from the preset interval, the lower the reliability of the electric power optical communication network is represented, the higher the potential fault possibility is.
5. The method for sensing faults in an electrical optical communication network according to claim 1, wherein the consistency conversion of the index layer fuzzy judgment matrix is specifically as follows:
if the index layer fuzzy judgment matrix does not meet the preset consistency condition, converting the index layer fuzzy judgment matrix into an index layer consistency judgment matrix based on a preset conversion formula;
the consistency conversion of the criterion layer fuzzy judgment matrix is specifically as follows:
and if the criterion layer fuzzy judgment matrix does not meet the preset consistency condition, converting the criterion layer fuzzy judgment matrix into a criterion layer consistency judgment matrix based on a preset conversion formula.
6. The method for power optical communication network fault perception according to claim 1, wherein selecting a corresponding membership function model based on the type of each element of the index layer to calculate the score of each index element of the index layer specifically comprises:
selecting a corresponding membership function model based on the types of the elements of the index layer, and calculating membership degrees of the elements of the index layer to three fuzzy evaluations of good, medium and poor based on the corresponding membership function model;
and calculating the scores of all index elements of the index layer according to the calculated membership degree of the index layer elements.
7. A power optical communication network fault sensing device, comprising:
the data acquisition module is used for acquiring the running state data of the power optical communication network; the multi-level fault perception index system of the power optical communication network comprises a target layer, a criterion layer and an index layer;
the index layer element scoring module is used for selecting a corresponding membership function model based on the types of the elements of the index layer to calculate the score of each index element of the index layer;
the index layer weight calculation module is used for constructing an index layer fuzzy judgment matrix according to the scores of all index elements of the index layer, carrying out consistency conversion on the index layer fuzzy judgment matrix and calculating the index layer element weights;
the criterion layer element scoring module is used for calculating the score of each criterion element of the criterion layer based on the score of each index element of the index layer and the weight of each index layer element;
the criterion layer weight calculation module is used for constructing a criterion layer fuzzy judgment matrix according to the scores of all index elements of the criterion layer, carrying out consistency conversion on the criterion layer fuzzy judgment matrix and calculating the criterion layer element weights;
the fault perception scoring module is used for calculating fault perception scores of the power optical communication network based on scores of all criterion elements of the criterion layer and weights of the criterion elements of the criterion layer;
and the fault perception prediction module is used for selecting reliable operation state data according to the fault perception scores of the electric power optical communication network, uploading the reliable operation state data to the electric power optical communication digital twin network, training the digital twin model to predict future operation data of the electric power optical communication network, and carrying out fault perception prediction on the electric power optical communication network based on the prediction data through the multi-stage fault perception index system.
8. The power optical communication network failure sensing device of claim 7, wherein the target layer represents a power optical communication network body; the criterion layer comprises a resource use criterion, a network operation level criterion, a service support criterion and a communication network operation and maintenance criterion.
9. A terminal device comprising a processor and a memory storing a computer program, characterized in that the processor implements the method for fault awareness of an electrical optical communication network according to any of claims 1 to 6 when executing the computer program.
10. A non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor implements the method of fault awareness of an electrical optical communication network according to any of claims 1 to 6.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116821403A (en) * | 2023-08-31 | 2023-09-29 | 超网实业(成都)股份有限公司 | Intelligent operation and maintenance method and system for factory equipment |
| CN117252542A (en) * | 2023-09-21 | 2023-12-19 | 国网四川省电力公司特高压直流中心 | Digital operation and maintenance method and platform for electric power system based on Internet of things |
| CN118134464A (en) * | 2024-05-06 | 2024-06-04 | 国网江西省电力有限公司电力科学研究院 | Direct current measurement device fault treatment measure generation method and system |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116821403A (en) * | 2023-08-31 | 2023-09-29 | 超网实业(成都)股份有限公司 | Intelligent operation and maintenance method and system for factory equipment |
| CN116821403B (en) * | 2023-08-31 | 2023-12-05 | 超网实业(成都)股份有限公司 | Intelligent operation and maintenance method and system for factory equipment |
| CN117252542A (en) * | 2023-09-21 | 2023-12-19 | 国网四川省电力公司特高压直流中心 | Digital operation and maintenance method and platform for electric power system based on Internet of things |
| CN118134464A (en) * | 2024-05-06 | 2024-06-04 | 国网江西省电力有限公司电力科学研究院 | Direct current measurement device fault treatment measure generation method and system |
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