CN113886757A - Power communication network PTN network service operation reliability assessment method - Google Patents
Power communication network PTN network service operation reliability assessment method Download PDFInfo
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Abstract
The invention provides a method for evaluating the operation reliability of a power communication network PTN network service, which is used for acquiring equipment fault information in the power communication network PTN network; determining equipment performance parameters according to the equipment fault information; and performing weighted calculation on the performance parameters by using an intelligent algorithm, comparing a calculation result with a critical value determined in advance according to historical alarm data, and triggering early warning if the calculation result breaks through the critical value. According to the invention, the network operation state is evaluated through various indexes such as the optical power, the bit error rate, the packet loss rate and the like of the optical modules at two ends of the transmission medium, and the early warning is carried out on the equipment nodes touching the warning line of the network potential safety hazard by depending on big data analysis, so that the purpose of active operation and maintenance is achieved, the operation and maintenance efficiency is improved, and the potential failure hazard is checked in advance.
Description
Technical Field
The invention belongs to the technical field of power communication network maintenance, and particularly relates to a power communication network PTN network service operation reliability assessment method.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
With the development of scientific technology, power grid construction also begins to evolve towards intellectualization, the power communication technology plays a very important role in power grid construction, at present, the scale of a power communication network in power grid construction is gradually enlarged, how to further improve the intellectualization and automation level of a power system so as to ensure the efficient, stable and safe operation of the power system, and the intensive research on the power communication network is required to be strengthened.
Disclosure of Invention
In order to solve the problems, the invention provides a method for evaluating the operation reliability of the PTN network service of the power communication network.
According to some embodiments, the invention adopts the following technical scheme:
a method for evaluating the operation reliability of a PTN network service of a power communication network comprises the following steps:
acquiring equipment fault information in a power communication network PTN network;
determining equipment performance parameters according to the equipment fault information;
and performing weighted calculation on the performance parameters by using an intelligent algorithm, comparing a calculation result with a critical value determined in advance according to historical alarm data, and triggering early warning if the calculation result breaks through the critical value.
As an alternative embodiment, the apparatus comprises at least one of a line unit, a branching unit, a crossing unit, a monitoring unit and a power supply unit.
As an alternative embodiment, the fault includes a fiber break and a fiber loss exceeding a set value.
As an alternative embodiment, the device performance parameters include optical power, bit error rate, and packet loss rate.
As an alternative embodiment, when performing weighting calculation on the performance parameters by using an intelligent algorithm, a group of index degradation thresholds generated by periodically acquiring various index data of the network device and combining a weighted average value of performance index degradation before a historical fault occurs are weighted and compared, and the weighting proportion is dynamically adjusted according to daily network activities and a set time strength.
Further, the dynamic adjustment comprises that the weighting proportion is reduced during the network activity peak, the early warning proportion is increased to ensure that the network operates normally, and the weighting proportion is increased during the non-network activity peak to allow the sudden network activity peak to appear.
Further, in the dynamic adjustment, the proportion of the normal performance data does not need to be increased, only the performance data which breaks through the critical value needs to be increased, and the more the data which breaks through the critical value in unit time, the more the proportion is increased.
As an alternative embodiment, when determining the critical value in advance according to the historical alarm data, the early warning rules of different fault scenarios need to be considered.
A power communication network PTN network service operation reliability evaluation system comprises:
the data acquisition module is used for acquiring equipment fault information in a power communication network PTN network and determining equipment performance parameters according to the equipment fault information;
and the intelligent calculation module is configured to perform weighted calculation on the performance parameters by using an intelligent algorithm, compare the calculation result with a critical value determined in advance according to historical alarm data, and trigger early warning if the calculation result breaks through the critical value.
A computer readable storage medium storing computer instructions which, when executed by a processor, perform the steps of the above method.
An electronic device comprising a memory and a processor and computer instructions stored on the memory and executed on the processor, the computer instructions, when executed by the processor, performing the steps of the above method.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the network operation state is evaluated through various indexes such as the optical power, the bit error rate, the packet loss rate and the like of the optical modules at two ends of the transmission medium, and the early warning is carried out on the equipment nodes touching the warning line of the network potential safety hazard by depending on big data analysis, so that the purpose of active operation and maintenance is achieved, the operation and maintenance efficiency is improved, and the potential failure hazard is checked in advance.
The invention can greatly improve the maintenance level of the power communication transmission network, and plays a great role in early warning the fault, reducing the fault duration and improving the network availability. Through simulation experiments, the invention is practically applied to the comprehensive network management system of the transmission network of the power system, most network faults can be automatically analyzed according to big data and early warning is carried out in advance, and the early warning accuracy can reach more than 80%.
The early warning fault generated by the rule diagnosis can automatically generate the early warning work order to be distributed to each specific maintenance department, so that the maintenance work efficiency is greatly improved, and the strong support is provided for the stable operation of the power communication network.
The fault early warning has reliability, and the AI big data algorithm can optimize the weight of the early warning threshold according to the judgment result so as to reach the standard closer to the real fault environment, thereby improving the intelligent and automatic production level of the power system.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
FIG. 1 is a system configuration diagram of the second embodiment;
fig. 2 is a schematic block diagram of a system according to a second embodiment.
The specific implementation mode is as follows:
the invention is further described with reference to the following figures and examples.
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
The first embodiment is as follows:
a method for evaluating the operation reliability of a PTN network service of a power communication network comprises the following steps:
acquiring equipment fault information in a power communication network PTN network;
determining equipment performance parameters according to the equipment fault information;
and performing weighted calculation on the performance parameters by using an intelligent algorithm, comparing a calculation result with a critical value determined in advance according to historical alarm data, and triggering early warning if the calculation result breaks through the critical value.
The power communication transmission network mainly comprises three types of faults, namely equipment faults, line faults and the like. The equipment fault refers to a fault of the network equipment, and the function of the network equipment is mainly realized by supporting various equipment single boards, so that the equipment fault mainly refers to a fault of a network equipment functional unit, such as a line unit, a branch unit, a cross unit, a monitoring unit, a power supply unit and the like. The line-type fault refers to a fault on a network transmission line, most of conventional transmission media are optical fibers, and therefore the line fault mainly comprises optical fiber breakage, large optical fiber loss and the like.
When the network equipment single board has a fault, the network equipment reports a corresponding alarm, a fault source can be located through the equipment alarm, but the fault occurs at the moment, and subsequent operation and maintenance activities belong to passive operation and maintenance after an event, so that the network operation is unstable. Compared with how to develop active operation and maintenance activities before an event, the method is the key for improving the stability and the safe operation of the network.
The invention carries out weighted comparison by periodically collecting various index data of network equipment and combining a group of index degradation thresholds generated by weighted average values of performance index degradation before historical faults occur, the weighted proportion is dynamically adjusted according to hourly force of daily network activity, the weighted proportion is reduced in the peak time of network activity, the early warning proportion is improved to ensure normal network operation, and the weighted proportion is increased in the peak time of non-network activity to allow sudden network activity peaks to appear.
For line type faults in the network, as the optical fiber is only a signal transmission medium, when the line type faults occur, the professional network management system cannot directly sense the existing faults, and the phenomenon can be shown only through the abnormity of transmission equipment in the network. At this time, mining analysis needs to be performed by combining data collected by network equipment at two ends of a transmission medium, the network operation state is evaluated through various indexes such as the optical power, the error rate, the packet loss rate and the like of optical modules at two ends of the transmission medium, and early warning is performed on equipment nodes touching a warning line of the network potential safety hazard by depending on big data analysis, so that the purpose of active operation and maintenance is achieved, the operation and maintenance efficiency is improved, and the potential safety hazard is checked in advance.
Example two:
as shown in fig. 1, the electric power communication network PTN network service operation reliability evaluation system has reliability, and an AI big data algorithm thereof optimizes the weight of an early warning threshold according to a judgment result to achieve a standard closer to a real fault environment, thereby improving the intelligent and automatic production level of an electric power system. It is mainly composed of 6 parts:
(1) the AI intelligent rule base stores various fault scene early warning rules and stores the fault scene early warning rules in a scene simulation mode;
(2) AI intelligent algorithm: analyzing the performance index data input into the system according to the early warning rules stored in the AI intelligent rule base, and obtaining the early warning analysis result; existing algorithms may be selected for use.
(3) Expert external rules interface: the method comprises the steps of obtaining a new rule and updating an interface of an original rule through the outside, and expanding the rule in an AI intelligent rule base through the interface;
(4) AI Intelligent algorithm rule interface: the interface is used for adding rules and feeding back results of operation and maintenance users, and the types of the rules in the AI intelligent rule base and the weight setting of the early warning rules can be enriched through the interface;
(5) AI intelligent algorithm: the AI big data core simulates various fault scenes to output early warning rules and production early warning information through mass data operation;
(6) operation and maintenance early warning interface: the system is used for the operation and maintenance personnel to send fault early warning information and implement active operation and maintenance.
As shown in fig. 2, the method includes, in terms of modules:
the data acquisition module is used for acquiring equipment fault information in a power communication network PTN network and determining equipment performance parameters according to the equipment fault information;
and the intelligent calculation module is configured to perform weighted calculation on the performance parameters by using an intelligent algorithm, compare the calculation result with a critical value determined in advance according to historical alarm data, and trigger early warning if the calculation result breaks through the critical value.
The system also comprises a rule base which stores early warning rules of different fault scenes.
The calculation process of the dynamic weighted average comprises the following steps:
when some critical-breakthrough peaks occur frequently in a set of data per unit time, the representation of their average number changes, for example:
MA＝(A1+A2+T3(1+k*x)+T4(1+k*x)+A5+…+An)/n；
the average MA, the normal performance data value A, the breakthrough critical performance data value T, the number of breakthrough critical times in x unit time, the number of statistical data in n unit time, the k-weighted proportion and the default of the system are 0.01, and the parameters can be adjusted as required.
In the statistical data group, the proportion of normal performance data does not need to be increased, only the performance data which breaks through the critical value needs to be increased, and when the more the data which breaks through the critical value in unit time is, the more the proportion is increased, the data in the data group can present an upward smooth curve in the graph. When the weighted average breaks a threshold of the pre-warning rule, a pre-warning event is triggered.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like which do not require the inventive efforts of those skilled in the art are included in the spirit and principle of the present invention.
Claims (10)
1. A method for evaluating the operation reliability of a PTN network service of a power communication network is characterized by comprising the following steps: the method comprises the following steps:
acquiring equipment fault information in a power communication network PTN network;
determining equipment performance parameters according to the equipment fault information;
and performing weighted calculation on the performance parameters by using an intelligent algorithm, comparing a calculation result with a critical value determined in advance according to historical alarm data, and triggering early warning if the calculation result breaks through the critical value.
2. The method for evaluating the operational reliability of the PTN network service of the power communication network as claimed in claim 1, wherein the method comprises the following steps: the apparatus includes at least one of a line unit, a branch unit, a crossover unit, a monitoring unit, and a power supply unit.
3. The method for evaluating the operational reliability of the PTN network service of the power communication network as claimed in claim 1, wherein the method comprises the following steps: the fault includes a fiber break and a fiber loss exceeding a set value.
4. The method for evaluating the operational reliability of the PTN network service of the power communication network as claimed in claim 1, wherein the method comprises the following steps: the device performance parameters include optical power, bit error rate, and packet loss rate.
5. The method for evaluating the operational reliability of the PTN network service of the power communication network as claimed in claim 1, wherein the method comprises the following steps: when the performance parameters are weighted and calculated by using an intelligent algorithm, various index data of network equipment are periodically collected, a group of index degradation thresholds generated by combining a weighted average value of performance index degradation before historical faults occur are weighted and compared, and the weighting proportion is dynamically adjusted according to daily network activities and the set time strength.
6. The method for evaluating the operational reliability of the PTN network service of the power communication network as claimed in claim 5, wherein the method comprises the following steps: the dynamic adjustment comprises that the weighting proportion is reduced when the network activity is in a peak, the early warning proportion is improved so as to ensure that the network operates normally, and the weighting proportion is increased when the network activity is not in a peak so as to allow the sudden network activity peak to appear.
7. The method for evaluating the operational reliability of the PTN network service of the power communication network as claimed in claim 6, wherein the method comprises the following steps: during dynamic adjustment, the proportion of normal performance data does not need to be increased, only the performance data which breaks through the critical value needs to be increased, and the more the data which breaks through the critical value in unit time is, the more the proportion is increased.
8. A power communication network PTN network service operation reliability evaluation system is characterized in that: the method comprises the following steps:
the data acquisition module is used for acquiring equipment fault information in a power communication network PTN network and determining equipment performance parameters according to the equipment fault information;
and the intelligent calculation module is configured to perform weighted calculation on the performance parameters by using an intelligent algorithm, compare the calculation result with a critical value determined in advance according to historical alarm data, and trigger early warning if the calculation result breaks through the critical value.
9. A computer-readable storage medium characterized by: storing computer instructions for performing, when executed by a processor, the steps of a method for evaluating reliability of service operation of a power communication network PTN network according to any one of claims 1 to 7.
10. An electronic device, characterized by: comprising a memory and a processor and computer instructions stored in the memory and executed on the processor, wherein the computer instructions, when executed by the processor, perform the steps of the method for evaluating the operational reliability of the power communication network PTN network service according to any one of claims 1 to 7.
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| CN114598621A (en) * | 2022-03-07 | 2022-06-07 | 广东电网有限责任公司 | Power communication network reliability assessment system |
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