CN111030753A - Power communication network deep inspection method and system based on performance and service channel - Google Patents
Power communication network deep inspection method and system based on performance and service channel Download PDFInfo
- Publication number
- CN111030753A CN111030753A CN201911343815.9A CN201911343815A CN111030753A CN 111030753 A CN111030753 A CN 111030753A CN 201911343815 A CN201911343815 A CN 201911343815A CN 111030753 A CN111030753 A CN 111030753A
- Authority
- CN
- China
- Prior art keywords
- performance
- network
- service
- service channel
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B10/00—Transmission systems employing electromagnetic waves other than radio-waves, e.g. infrared, visible or ultraviolet light, or employing corpuscular radiation, e.g. quantum communication
- H04B10/07—Arrangements for monitoring or testing transmission systems; Arrangements for fault measurement of transmission systems
- H04B10/075—Arrangements for monitoring or testing transmission systems; Arrangements for fault measurement of transmission systems using an in-service signal
- H04B10/079—Arrangements for monitoring or testing transmission systems; Arrangements for fault measurement of transmission systems using an in-service signal using measurements of the data signal
- H04B10/0795—Performance monitoring; Measurement of transmission parameters
- H04B10/07953—Monitoring or measuring OSNR, BER or Q
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
- G07C1/20—Checking timed patrols, e.g. of watchman
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B10/00—Transmission systems employing electromagnetic waves other than radio-waves, e.g. infrared, visible or ultraviolet light, or employing corpuscular radiation, e.g. quantum communication
- H04B10/07—Arrangements for monitoring or testing transmission systems; Arrangements for fault measurement of transmission systems
- H04B10/075—Arrangements for monitoring or testing transmission systems; Arrangements for fault measurement of transmission systems using an in-service signal
- H04B10/079—Arrangements for monitoring or testing transmission systems; Arrangements for fault measurement of transmission systems using an in-service signal using measurements of the data signal
- H04B10/0795—Performance monitoring; Measurement of transmission parameters
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B10/00—Transmission systems employing electromagnetic waves other than radio-waves, e.g. infrared, visible or ultraviolet light, or employing corpuscular radiation, e.g. quantum communication
- H04B10/07—Arrangements for monitoring or testing transmission systems; Arrangements for fault measurement of transmission systems
- H04B10/075—Arrangements for monitoring or testing transmission systems; Arrangements for fault measurement of transmission systems using an in-service signal
- H04B10/079—Arrangements for monitoring or testing transmission systems; Arrangements for fault measurement of transmission systems using an in-service signal using measurements of the data signal
- H04B10/0795—Performance monitoring; Measurement of transmission parameters
- H04B10/07955—Monitoring or measuring power
Landscapes
- Physics & Mathematics (AREA)
- Electromagnetism (AREA)
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- General Physics & Mathematics (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
本发明公开了一种基于性能与业务通道的电力通信网深度巡检方法及系统，方法包括：获取关键性能指标，获取业务通道数据；基于关键性能指标分析模型对关键性能指标进行分析，得到性能值；基于业务通道重要性评估模块对业务通道数据进行分析，得到业务重要度权重；基于性能值和业务重要度权重对网络节点薄弱性进行分析，得到网络节点薄弱性分析结果，其中，所述分析结果包括：网络薄弱节点；基于网络薄弱节点的等级，确定巡检优先级。本发明能够基于电力通信系统的性能数据，综合考虑业务通道路径、业务通道重要性因素，通过挖掘数据关联关系对电力通信网进行深度巡检。
The invention discloses a method and system for in-depth inspection of a power communication network based on performance and service channels. The method includes: acquiring key performance indicators and acquiring service channel data; analyzing key performance indicators based on a key performance indicator analysis model to obtain performance value; analyze the service channel data based on the service channel importance evaluation module, and obtain the service importance weight; analyze the network node weakness based on the performance value and the service importance weight, and obtain the network node weakness analysis result, wherein the The analysis results include: network weak nodes; based on the level of network weak nodes, determine the inspection priority. Based on the performance data of the power communication system, the invention can comprehensively consider the service channel path and the importance factors of the service channel, and conduct in-depth inspection of the power communication network by mining the data association relationship.
Description
Technical Field
The invention relates to the technical field of operation and maintenance of power communication networks, in particular to a power communication network deep inspection method and system based on performance and service channels.
Background
The electric power communication network is a basic support for constructing a unified and strong intelligent electric network and enterprise informatization, provides a safe information transmission channel for electric network scheduling, automation, relay protection, safe automatic control, electric power market transaction, enterprise informatization and the like in the whole electric power system, and the optimal management of the electric power communication network is the key for keeping the whole electric network smooth. With the improvement of fine management, the electric power communication network management is not limited to finding and solving reported alarms and faults at the first time, the operation state of the whole electric power communication network is controlled, weak links existing in the system are found actively, and the operation situation of the system is analyzed to become the trend of the dispatching operation and maintenance of the electric power communication network.
At present, the traditional inspection mode of the power communication network mainly has the following problems:
(1) the traditional inspection mode is based on network alarm, at the moment, a fault occurs, the service is affected, and the network potential risk analysis lacks corresponding technical means.
(2) The traditional inspection mode is based on network alarm, the alarm types are various, the association relation with the service is complex, network management personnel can hardly judge the condition of the service influence, the inspection purpose is not strong, and corresponding technical means are lacked for analyzing weak links of the system.
Therefore, how to effectively carry out deep inspection on the power communication network is a problem to be solved urgently.
Disclosure of Invention
In view of the above, the present invention provides a deep inspection method for an electric power communication network based on performance and service channels, which can perform deep inspection for the electric power communication network by mining data association relationship based on performance data of an electric power communication system and by comprehensively considering importance factors of service channel paths and service channels.
The invention provides a power communication network deep inspection method based on performance and service channels, which comprises the following steps:
obtaining key performance indexes;
acquiring service channel data;
analyzing the key performance index based on a key performance index analysis model to obtain a performance value;
analyzing the service channel data based on a service channel importance evaluation module to obtain a service importance weight;
analyzing the network node weakness based on the performance value and the service importance weight to obtain a network node weakness analysis result, wherein the analysis result comprises: a network weak node;
and determining the routing inspection priority based on the level of the network weak node.
Preferably, the method further comprises:
and checking the routing inspection result based on the network node weakness analysis result.
Preferably, the obtaining of the key performance indicator includes:
acquiring performance data;
and cleaning and polymerizing the performance data to obtain a key performance index.
A power communication network depth inspection system based on performance and service channels comprises:
the first acquisition module is used for acquiring key performance indexes;
the second acquisition module is used for acquiring the service channel data;
the first analysis module is used for analyzing the key performance index based on a key performance index analysis model to obtain a performance value;
the second analysis module is used for analyzing the service channel data based on the service channel importance evaluation module to obtain a service importance weight;
a third analysis module, configured to analyze the vulnerability of the network node based on the performance value and the service importance weight to obtain a vulnerability analysis result of the network node, where the analysis result includes: a network weak node;
and the determining module is used for determining the routing inspection priority based on the level of the network weak node.
Preferably, the system further comprises:
and the checking module is used for checking the routing inspection result based on the network node vulnerability analysis result.
Preferably, when executing the key performance index acquisition, the first acquisition module is specifically configured to:
acquiring performance data;
and cleaning and polymerizing the performance data to obtain a key performance index.
In summary, the invention discloses a deep inspection method for an electric power communication network based on performance and service channels, when the electric power communication network needs to be deeply inspected, firstly, key performance indexes are obtained, service channel data are obtained, and then, the key performance indexes are analyzed based on a key performance index analysis model to obtain performance values; analyzing the service channel data based on the service channel importance evaluation module to obtain a service importance weight; then, analyzing the network node weakness based on the performance value and the service importance weight to obtain a network node weakness analysis result, wherein the analysis result comprises: a network weak node; and determining the routing inspection priority based on the level of the network weak node. The invention can comprehensively consider the service channel path and the importance factors of the service channel based on the performance data of the power communication system, and carry out deep inspection on the power communication network by mining the data association relation.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a method in an embodiment 1 of a deep inspection method for an electric power communication network based on performance and service channels, disclosed by the invention;
fig. 2 is a flowchart of a method in an embodiment 2 of a deep inspection method for an electric power communication network based on performance and service channels, disclosed by the invention;
fig. 3 is a schematic structural diagram of an embodiment 1 of a deep inspection system of an electric power communication network based on performance and service channels, disclosed by the invention;
fig. 4 is a schematic structural diagram of an embodiment 2 of a power communication network deep inspection system based on performance and service channels disclosed in the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, a flowchart of a method in embodiment 1 of a method for deeply inspecting a power communication network based on performance and a service channel disclosed in the present invention may include the following steps:
s101, obtaining key performance indexes;
when the power communication network needs to be deeply inspected, because the amount of complex large power grid generated performance data is huge, unnecessary load is generated on a server by directly adopting the full-amount performance data, and the complexity of logic analysis is increased. And cleaning and aggregating the performance data according to the characteristics of the performance data and the network topology relation to obtain a key performance index.
S102, acquiring service channel data;
meanwhile, service channel data of the power communication network are obtained.
S103, analyzing the key performance indexes based on the key performance index analysis model to obtain performance values;
after the key performance index is obtained, the key performance index is further analyzed through a key performance index analysis model to obtain a performance value.
Specifically, the service is carried on a service channel, and the service channel is composed of devices and optical path connections. Selecting key performance indexes reflecting the running state of the equipment and the running state of the optical path: temperature, luminous power, received light power, error code second, serious error code second, unusable second. And carrying out weight quantification and qualification on the degradation degree of the selected performance index.
Temperature: the system automatically records the temperature of the equipment board card, and when the temperature is too high, the operation reliability of the equipment is reduced;
receiving and emitting power: the system automatically records the transmitting and receiving light power of the optical module of the equipment, reflects the attenuation condition of the light path, and judges whether the transmitting and receiving optical module, the optical cable or the tail fiber have faults or not;
error seconds, severe error seconds, unusable seconds: the system automatically records the error code seconds, serious error code seconds and unavailable seconds of the equipment port and reflects the running condition of the port. As shown in table 1, it is a quantitative characterization of key performance indicators.
TABLE 1 quantitative characterization of key Performance indicators
S104, analyzing the service channel data based on the service channel importance evaluation module to obtain a service importance weight;
after the service channel data is obtained, the service channel data is further analyzed through a service channel importance evaluation module to obtain a service importance weight.
Specifically, the service channel is an information transmission channel for providing safety in power grid scheduling, automation, relay protection, safety automatic control, electric power market transaction, enterprise informatization and the like in the whole power system. The importance of service channels of different service types is different, and relay protection and safe automatic control of the service channels are particularly important, and are related to smooth operation of a primary power grid. The quantized assignment of the importance of the power service is shown in table 2.
Table 2 electric power service importance weight quantitative assignment
S105, analyzing the network node weakness based on the performance value and the service importance weight to obtain a network node weakness analysis result, wherein the analysis result comprises the following steps: a network weak node;
then, the network node vulnerability is analyzed, specifically:
the traffic channel is carried over the channel. The network node performance and the service channel importance are comprehensively considered, the network node weakness is analyzed, and the method has important guiding significance for daily-opening network routing inspection work. The network node weakness is obtained by taking the performance value quantification as an index, comprehensively considering the network node performance, the service channel importance and other factors and calculating according to the following formula.
R＝Pn*(C1+C2+...+Cm)+(P1’+P2’)*C1+(P3’+P4’)*C2+...+(P3’+P4’)*Cm
In the formula: r represents a network node vulnerability index; pnRepresenting the aggregation of device performance that the network node indirectly affects the traffic channel; p' represents the quantitative nature of the equipment performance point which directly influences the reliability of the service channel; and C represents the traffic channel quantization importance.
The R values are divided into two representation levels: weakness rating, weakness value. Higher rank, higher value indicates weaker network nodes.
According to the characteristics of the performance indexes, the network weak points are decomposed and positioned by combining site data, topology data and distribution data.
When the weak point is the deterioration of the temperature performance, the problem location is carried out according to the following steps:
1. comparing the temperature performance of the equipment at the same station: analyzing whether temperature performance indexes of other equipment in the common station are abnormal or not, and if the temperature performance indexes are abnormal, supposing that the equipment is a power environment fault;
2. comparing the performance of the file with the board card of the equipment: and analyzing whether the temperature performance indexes of other board cards of the same equipment are abnormal or not, and if the temperature performance indexes of other board cards of the same equipment are abnormal, presuming that the fan of the equipment has a fault.
When the weak point is the deterioration of the optical power performance, the problem positioning is carried out according to the following steps:
1. and (3) comparing the performance of the co-cable transmission section: analyzing whether the optical power performance of the co-cable transmission section is abnormal or not, and if the optical power performance is abnormal, presuming that the optical cable has a fault;
2. comparing the performance of the optical port of the same board card: analyzing whether the optical power performance of other optical ports on the same board card is abnormal or not, and if the optical power performance of other optical ports on the same board card is abnormal, predicting the fault of the optical board;
when the weak point is error code second and the performance of unavailable second is degraded, the failure of the port or the transmission channel is presumed.
And S106, determining the routing inspection priority based on the level of the network weak node.
And through the weak analysis of the network nodes, the polling work is carried out aiming at the network weak nodes. According to the weak level of the network node, the weak value carries out grading sequencing on the routing inspection strategies:
1. the weak grade is severe, the inspection priority of the network node is highest, the equipment needs to be concerned, and the equipment is inspected in time;
2. the weak grade is moderate, the inspection priority of the network node is high, the equipment is needed, and an inspection plan is arranged;
3. the weak grade is light, the routing inspection priority of the network node is general, and the performance degradation point is concerned in daily routing inspection;
4. the weak grade is normal, the routing inspection priority of the network node is general, and the routine routing inspection is only needed.
Wherein, the higher the weak value in the same grade is, the higher the patrol priority is.
In summary, in the above embodiment, when deep inspection of the power communication network is required, first obtaining a key performance index, obtaining service channel data, and then analyzing the key performance index based on a key performance index analysis model to obtain a performance value; analyzing the service channel data based on the service channel importance evaluation module to obtain a service importance weight; then, analyzing the network node weakness based on the performance value and the service importance weight to obtain a network node weakness analysis result, wherein the analysis result comprises: a network weak node; and determining the routing inspection priority based on the level of the network weak node. The method can comprehensively consider the importance factors of the service channel path and the service channel based on the performance data of the power communication system, and carry out deep inspection on the power communication network by mining the data association relation.
As shown in fig. 2, which is a flowchart of a method in embodiment 2 of a method for deeply inspecting a power communication network based on performance and a service channel, the method may include the following steps:
s201, acquiring performance data, and cleaning and aggregating the performance data to obtain key performance indexes;
when the power communication network needs to be deeply inspected, because the amount of complex large power grid generated performance data is huge, unnecessary load is generated on a server by directly adopting the full-amount performance data, and the complexity of logic analysis is increased. And cleaning and aggregating the performance data according to the characteristics of the performance data and the network topology relation to obtain a key performance index.
Specifically, the data cleaning includes:
1. the method comprises the following steps that a manufacturer network manager provides a plurality of performance index types, indexes which are representative and influence the operation of a service channel are selected, a key performance index set is formed, and non-key performance index data are filtered;
2. and clearing a large amount of performance data irrelevant to the service channel, for example, a port object without optical path connection does not bear the service channel, but reports a received optical-60 dBm index.
The data aggregation comprises the following steps:
the network equipment is composed of different board cards such as a main control board, a cross board, a clock board, a light board, a circuit board, a fan and the like. The main control board, the clock board, the fan and other types of boards do not directly bear services, but indirectly affect the service channel running in the equipment, and the performance indexes are aggregated in the equipment, so that the complexity of logic analysis is reduced, and the analysis is convenient. The quantitative qualitative formula of the device performance index indirectly influencing the service channel is as follows:
Pn＝x*P4+y*P2+z*P1
wherein, PnRepresenting the qualitative performance index of equipment which indirectly influences the service channel by aggregation; x P4Represents x severe performance degradation points; y P2Represents y moderate performance degradation points; z is P1Representing z points of mild performance degradation.
S202, acquiring service channel data;
meanwhile, service channel data of the power communication network are obtained.
S203, analyzing the key performance indexes based on the key performance index analysis model to obtain performance values;
after the key performance index is obtained, the key performance index is further analyzed through a key performance index analysis model to obtain a performance value.
Specifically, the service is carried on a service channel, and the service channel is composed of devices and optical path connections. Selecting key performance indexes reflecting the running state of the equipment and the running state of the optical path: temperature, luminous power, received light power, error code second, serious error code second, unusable second. And carrying out weight quantification and qualification on the degradation degree of the selected performance index.
Temperature: the system automatically records the temperature of the equipment board card, and when the temperature is too high, the operation reliability of the equipment is reduced;
receiving and emitting power: the system automatically records the transmitting and receiving light power of the optical module of the equipment, reflects the attenuation condition of the light path, and judges whether the transmitting and receiving optical module, the optical cable or the tail fiber have faults or not;
error seconds, severe error seconds, unusable seconds: the system automatically records the error code seconds, serious error code seconds and unavailable seconds of the equipment port and reflects the running condition of the port. As shown in table 1, it is a quantitative characterization of key performance indicators.
S204, analyzing the service channel data based on the service channel importance evaluation module to obtain a service importance weight;
after the service channel data is obtained, the service channel data is further analyzed through a service channel importance evaluation module to obtain a service importance weight.
Specifically, the service channel is an information transmission channel for providing safety in power grid scheduling, automation, relay protection, safety automatic control, electric power market transaction, enterprise informatization and the like in the whole power system. The importance of service channels of different service types is different, and relay protection and safe automatic control of the service channels are particularly important, and are related to smooth operation of a primary power grid. The quantized assignment of the importance of the power service is shown in table 2.
S205, analyzing the network node weakness based on the performance value and the service importance weight to obtain a network node weakness analysis result, wherein the analysis result comprises: a network weak node;
then, the network node vulnerability is analyzed, specifically:
the traffic channel is carried over the channel. The network node performance and the service channel importance are comprehensively considered, the network node weakness is analyzed, and the method has important guiding significance for daily-opening network routing inspection work. The network node weakness is obtained by taking the performance value quantification as an index, comprehensively considering the network node performance, the service channel importance and other factors and calculating according to the following formula.
R＝Pn*(C1+C2+...+Cm)+(P1’+P2’)*C1+(P3’+P4’)*C2+...+(P3’+P4’)*Cm
In the formula: r represents a network node vulnerability index; pnRepresenting the aggregation of device performance that the network node indirectly affects the traffic channel; p' represents the quantitative nature of the equipment performance point which directly influences the reliability of the service channel; and C represents the traffic channel quantization importance.
The R values are divided into two representation levels: weakness rating, weakness value. Higher rank, higher value indicates weaker network nodes.
According to the characteristics of the performance indexes, the network weak points are decomposed and positioned by combining site data, topology data and distribution data.
When the weak point is the deterioration of the temperature performance, the problem location is carried out according to the following steps:
1. comparing the temperature performance of the equipment at the same station: analyzing whether temperature performance indexes of other equipment in the common station are abnormal or not, and if the temperature performance indexes are abnormal, supposing that the equipment is a power environment fault;
2. comparing the performance of the file with the board card of the equipment: and analyzing whether the temperature performance indexes of other board cards of the same equipment are abnormal or not, and if the temperature performance indexes of other board cards of the same equipment are abnormal, presuming that the fan of the equipment has a fault.
When the weak point is the deterioration of the optical power performance, the problem positioning is carried out according to the following steps:
1. and (3) comparing the performance of the co-cable transmission section: analyzing whether the optical power performance of the co-cable transmission section is abnormal or not, and if the optical power performance is abnormal, presuming that the optical cable has a fault;
2. comparing the performance of the optical port of the same board card: analyzing whether the optical power performance of other optical ports on the same board card is abnormal or not, and if the optical power performance of other optical ports on the same board card is abnormal, predicting the fault of the optical board;
when the weak point is error code second and the performance of unavailable second is degraded, the failure of the port or the transmission channel is presumed.
S206, determining a routing inspection priority based on the level of the network weak node;
and through the weak analysis of the network nodes, the polling work is carried out aiming at the network weak nodes. According to the weak level of the network node, the weak value carries out grading sequencing on the routing inspection strategies:
1. the weak grade is severe, the inspection priority of the network node is highest, the equipment needs to be concerned, and the equipment is inspected in time;
2. the weak grade is moderate, the inspection priority of the network node is high, the equipment is needed, and an inspection plan is arranged;
3. the weak grade is light, the routing inspection priority of the network node is general, and the performance degradation point is concerned in daily routing inspection;
4. the weak grade is normal, the routing inspection priority of the network node is general, and the routine routing inspection is only needed.
Wherein, the higher the weak value in the same grade is, the higher the patrol priority is.
And S207, checking the inspection result based on the network node vulnerability analysis result.
On the basis of the embodiment, the network node vulnerability analysis can also verify the effect after the routing inspection is carried out. Through comparing with the analysis result last time, the quantity change of the weak points at each level is compared with the size change of the weak values, the routing inspection effect can be scientifically and accurately verified, and the elimination of the potential risk of the power communication network is promoted.
As shown in fig. 3, which is a schematic structural diagram of an embodiment 1 of a power communication network deep inspection system based on performance and service channels disclosed in the present invention, the system may include:
a first obtaining module 301, configured to obtain a key performance index;
a second obtaining module 302, configured to obtain service channel data;
a first analysis module 303, configured to analyze the key performance index based on the key performance index analysis model to obtain a performance value;
a second analysis module 304, configured to analyze the service channel data based on the service channel importance evaluation module to obtain a service importance weight;
a third analyzing module 305, configured to analyze the vulnerability of the network node based on the performance value and the service importance weight to obtain a vulnerability analyzing result of the network node, where the analyzing result includes: a network weak node;
a determining module 306, configured to determine a patrol priority based on the level of the network weak node.
The working principle of the power communication network deep inspection system based on the performance and the service channel disclosed in this embodiment is the same as that of the power communication network deep inspection method based on the performance and the service channel in embodiment 1, and is not described herein again.
As shown in fig. 4, which is a schematic structural diagram of an embodiment 2 of a power communication network deep inspection system based on performance and service channels disclosed in the present invention, the system may include:
the first obtaining module 401 is configured to obtain performance data, and perform cleaning and aggregation on the performance data to obtain a key performance index;
a second obtaining module 402, configured to obtain service channel data;
a first analysis module 403, configured to analyze the key performance index based on the key performance index analysis model to obtain a performance value;
a second analysis module 404, configured to analyze the service channel data based on the service channel importance evaluation module to obtain a service importance weight;
a third analysis module 405, configured to analyze the vulnerability of the network node based on the performance value and the service importance weight to obtain a vulnerability analysis result of the network node, where the analysis result includes: a network weak node;
a determining module 406, configured to determine a polling priority based on a level of a network weak node;
and the checking module 407 is configured to check the inspection result based on the network node vulnerability analysis result.
On the basis of the embodiment, the network node vulnerability analysis can also verify the effect after the routing inspection is carried out. Through comparing with the analysis result last time, the quantity change of the weak points at each level is compared with the size change of the weak values, the routing inspection effect can be scientifically and accurately verified, and the elimination of the potential risk of the power communication network is promoted.
The working principle of the power communication network deep inspection system based on the performance and the service channel disclosed in this embodiment is the same as that of the power communication network deep inspection method based on the performance and the service channel in embodiment 2, and is not described herein again.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (6)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911343815.9A CN111030753A (en) | 2019-12-23 | 2019-12-23 | Power communication network deep inspection method and system based on performance and service channel |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911343815.9A CN111030753A (en) | 2019-12-23 | 2019-12-23 | Power communication network deep inspection method and system based on performance and service channel |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111030753A true CN111030753A (en) | 2020-04-17 |
Family
ID=70212844
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911343815.9A Pending CN111030753A (en) | 2019-12-23 | 2019-12-23 | Power communication network deep inspection method and system based on performance and service channel |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111030753A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021248690A1 (en) * | 2020-06-11 | 2021-12-16 | 烽火通信科技股份有限公司 | Smart early warning method and apparatus for optical channel performance degradation, device, and storage medium |
| CN115174436A (en) * | 2022-09-07 | 2022-10-11 | 浙江省邮电工程建设有限公司 | Control method and system for automatic inspection robot of communication machine room |
| CN119963140A (en) * | 2025-04-10 | 2025-05-09 | 北京侏罗纪软件股份有限公司 | Data construction method and system applied to petroleum service data |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102663240A (en) * | 2012-03-23 | 2012-09-12 | 广东省电力调度中心 | Analysis system and evaluation method for power telecommunication business risks |
| CN107679697A (en) * | 2017-09-06 | 2018-02-09 | 国家电网公司 | Electric power optical transmission device state-detection evaluation method |
| US20190005161A1 (en) * | 2017-07-01 | 2019-01-03 | Intel Corporation | Processors, methods, and systems for a configurable spatial accelerator with performance, correctness, and power reduction features |
-
2019
- 2019-12-23 CN CN201911343815.9A patent/CN111030753A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102663240A (en) * | 2012-03-23 | 2012-09-12 | 广东省电力调度中心 | Analysis system and evaluation method for power telecommunication business risks |
| US20190005161A1 (en) * | 2017-07-01 | 2019-01-03 | Intel Corporation | Processors, methods, and systems for a configurable spatial accelerator with performance, correctness, and power reduction features |
| CN107679697A (en) * | 2017-09-06 | 2018-02-09 | 国家电网公司 | Electric power optical transmission device state-detection evaluation method |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021248690A1 (en) * | 2020-06-11 | 2021-12-16 | 烽火通信科技股份有限公司 | Smart early warning method and apparatus for optical channel performance degradation, device, and storage medium |
| CN115174436A (en) * | 2022-09-07 | 2022-10-11 | 浙江省邮电工程建设有限公司 | Control method and system for automatic inspection robot of communication machine room |
| CN119963140A (en) * | 2025-04-10 | 2025-05-09 | 北京侏罗纪软件股份有限公司 | Data construction method and system applied to petroleum service data |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN1794651B (en) | System and method for problem resolution in communications networks | |
| CN111030753A (en) | Power communication network deep inspection method and system based on performance and service channel | |
| US8774023B2 (en) | Method and system for detecting changes in network performance | |
| CN111327539B (en) | Service scheduling method, device and equipment | |
| CN114329498B (en) | Data center operation and maintenance safety control method and device | |
| CN116405412B (en) | Method and system for verifying cluster effectiveness of simulation server based on chaotic engineering faults | |
| CN114143160A (en) | Cloud platform automation operation and maintenance system | |
| CN110083575A (en) | Fulfilling monitoring method, device, equipment and computer readable storage medium | |
| CN114401523A (en) | Fault processing method and device and electronic equipment | |
| CN118826848A (en) | A method and system for handling latent faults of abnormal communication | |
| CN119402075B (en) | Optical fiber network failure judging method and device based on feedback judging mechanism | |
| CN101345656B (en) | global fault rate measuring method | |
| CN118413388B (en) | Online evaluation system and method based on network security test | |
| CN118118379B (en) | Equipment operation monitoring method and system based on Internet of things | |
| CN118316715B (en) | Enterprise network security risk assessment method and system | |
| CN110609761B (en) | Method and device for determining fault source, storage medium and electronic equipment | |
| CN118095640A (en) | A method and system for evaluating and analyzing information system application status | |
| CN114124727B (en) | Network management communication pressure testing method and system | |
| CN113448823B (en) | Intelligent stress testing method, device, electronic equipment and computer storage medium | |
| CN110309045B (en) | Method, apparatus, medium and computing device for determining future state of server | |
| CN117573494B (en) | A software operation data background storage management system based on artificial intelligence | |
| CN118646860B (en) | A method for analyzing link failure of digital audio and video signal transmission and processing equipment | |
| CN114221874B (en) | Traffic analysis and scheduling method and device, computer equipment and readable storage medium | |
| CN119271518A (en) | A digital base design method, system and electronic equipment | |
| CN120091341A (en) | Positioning method and device for hidden faults of mobile communication network and electronic equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| AD01 | Patent right deemed abandoned | ||
| AD01 | Patent right deemed abandoned |
Effective date of abandoning: 20220603 |