CN114915540A - Communication network alarm on-line processing method - Google Patents
Communication network alarm on-line processing method Download PDFInfo
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- CN114915540A CN114915540A CN202210397737.6A CN202210397737A CN114915540A CN 114915540 A CN114915540 A CN 114915540A CN 202210397737 A CN202210397737 A CN 202210397737A CN 114915540 A CN114915540 A CN 114915540A
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- 238000004891 communication Methods 0.000 title claims abstract description 18
- 238000003672 processing method Methods 0.000 title claims abstract description 13
- 238000000034 method Methods 0.000 claims abstract description 28
- 238000012545 processing Methods 0.000 claims description 19
- 230000010365 information processing Effects 0.000 claims description 4
- 230000005540 biological transmission Effects 0.000 description 4
- 238000012216 screening Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0604—Management of faults, events, alarms or notifications using filtering, e.g. reduction of information by using priority, element types, position or time
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0604—Management of faults, events, alarms or notifications using filtering, e.g. reduction of information by using priority, element types, position or time
- H04L41/0613—Management of faults, events, alarms or notifications using filtering, e.g. reduction of information by using priority, element types, position or time based on the type or category of the network elements
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0631—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
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Abstract
The invention provides an on-line processing method for a communication network alarm, belonging to the technical field of communication networks. The communication network alarm on-line processing method comprises the following steps: s1: and (3) total data receiving: receiving the data received by the receiving unit, storing and marking the data once; s2: primary classification of data: separating alarm data and non-alarm data; s3: secondary classification of alarm data: the alarm data is classified into four types, a picture type, a voice type, a video type and an error type. The invention classifies a large amount of data through primary classification of the data, separates out alarm information and non-alarm information, processes the alarm information in advance, conveniently eliminates unimportant information, lightens the operating pressure of a system end, and can divide the alarm information into four types through secondary classification of the alarm data: the picture type, the voice type, the video type and the error type are respectively processed, a large amount of alarm information is effectively screened, and the effective alarm information is quickly positioned.
Description
Technical Field
The invention belongs to the technical field of communication networks, and relates to an alarm online processing method, in particular to an alarm online processing method of a communication network.
Background
The communication network is a link for physically connecting each isolated device to realize information exchange between people, between people and computers, and between computers, thereby achieving the purpose of resource sharing and communication.
After retrieval, for example, chinese patent literature discloses a method, a system, a medium, and a computer [ application number: 202011088627.9, respectively; publication No.: CN 112312443A). The processing method of the mass alarm data comprises the steps of reasonably combining a communication network alarm system and an algorithm module and utilizing a practical high-performance processing framework to process alarm information in time. The invention improves the processing efficiency and reduces the labor cost.
The method, the system, the medium and the computer for processing the mass alarm data disclosed in the patent can not effectively comb the alarm data, so that a large amount of alarm data is rushed in, each piece of information at a system end needs to be read and is not pre-screened, and the running cost of the system end is increased.
Through retrieval, for example, chinese patent document discloses a power transmission internet of things communication network access optimization method [ application number: 201811618050.0, respectively; publication No.: CN109687584A ]. The method for setting the priority and the weight value is adopted to perform key monitoring on the transmission line towers in extreme environments or frequently occurring accidents, so that the transmission line operation and maintenance personnel can be ensured to arrive at the site at the first time, and the accidents are avoided.
When alarm data is processed, the method for optimizing access to the power transmission internet of things disclosed in the patent has the following defects that alarm information is not classified, the source of the alarm information cannot be quickly confirmed, and the type of the alarm information cannot be quickly confirmed, so that a system end cannot quickly and effectively judge the alarm information, and the processing efficiency of the alarm information is reduced.
Therefore, there is a need to provide an online processing method for communication network alarm to solve the above technical problems.
Disclosure of Invention
The invention aims to solve the problems in the prior art and provides a communication network alarm online processing method which can carry out preprocessing classification on a large amount of alarm information, effectively and quickly process the information and reduce the operation cost of a system end.
The purpose of the invention can be realized by the following technical scheme:
an on-line processing method for communication network alarm includes the following steps:
s1: and (3) total data receiving: receiving the data received by the receiving unit, storing and marking the data once;
s2: primary classification of data: separating alarm data and non-alarm data;
s3: secondary classification of alarm data: classifying the alarm data into four types, namely a picture type, a voice type, a video type and an error type;
s4: and (4) classifying alarm data for three times: acquiring alarm information, then classifying the alarm information for three times, and classifying the alarm information into a network security class, a network hardware class and a network software class;
s5: and (3) result feedback: and receiving the processing result of the alarm information.
In S2, the non-alarm data enters the non-alarm database, and performs feedback, and marks the information.
By adopting the arrangement, a large amount of inrush data can be screened in advance, and the processing pressure of a system end is reduced.
In S3, the picture class: importing the pictures into a picture recognition system, recognizing and marking the pictures one by one, wherein the language class is as follows: and leading the voice information into a voice recognition system one by one, and reading the voice one by one.
By adopting the arrangement, the system end can process the alarm information of the pictures, can identify the voice information and can quickly analyze the effective information.
In S3, the video class: importing the video information into a video browsing system, browsing one by one, separating useful information, and classifying errors: and feeding back and marking the error alarm information, and tracing the source of the error alarm.
By adopting the arrangement, the video information can be processed, and the alarm information which is reported in error or reported in error is processed and marked, so that the malicious alarm information is prevented from being frequently sent.
In S3, the number of times of error-type information is checked to separate intentional and unintentional information; and the intentional information is specially marked and reported.
By adopting the arrangement, the frequent alarm information sending position can be calculated by counting the times and tracing of the wrong alarm information.
In S4, the network security class: and (4) rechecking the alarm information, if the rechecking result is true, performing alarm operation, and reporting the tracing information.
By adopting the above arrangement, malicious alarm information is effectively eradicated.
In S4, the network hardware class: and exporting the alarm information, communicating hardware workers and feeding back information of the parts needing to be maintained.
By adopting the arrangement, the hardware alarm information can be quickly fed back and maintained conveniently.
In S4, the network software class: and exporting the alarm information, communicating software workers and rechecking the software source code to be overhauled.
By adopting the arrangement, the processing of the software alarm information is facilitated.
In S5, the progress and speed of the alarm information processing are recorded.
By adopting the arrangement, the processing effect of the alarm information can be fed back conveniently in the later period, and the feedback can be used as a reference to improve the related working quality.
In S5, the processed alarm information is classified and stored.
By adopting the arrangement, the whole process of the alarm information can be recorded, marked and traced, and the later-stage searching and demonstration are facilitated.
Compared with the prior art, the communication network alarm on-line processing method has the following advantages:
1. according to the invention, a large amount of data is classified through data primary classification, the alarm information and the non-alarm information are separated, the alarm information is processed in advance, unimportant information is removed conveniently, and the operation pressure of a system end is reduced;
2. the invention can divide the alarm information into four types through the secondary classification of the alarm data: the method comprises the following steps of (1) processing four kinds of alarm information in a picture type, a voice type, a video type and an error type, effectively screening a large amount of alarm information and quickly positioning the effective alarm information;
3. the invention can classify the alarm information into three categories by classifying the alarm information three times: the network security class, the network hardware class and the network software class can process the alarm information in all directions, and the system end quickly defines the information class and the information position, so that the speed and the progress of processing the alarm information on line by the system end are ensured, and the running cost of the system end is reduced.
Drawings
FIG. 1 is a schematic representation of the steps of the present invention.
FIG. 2 is a schematic flow chart of the present invention.
Detailed Description
The following are specific embodiments of the present invention and are further described with reference to the accompanying drawings, but the present invention is not limited to these embodiments.
The first embodiment is as follows:
an on-line processing method for communication network alarm includes the following steps:
s1: and (3) total data receiving: receiving the data received by the receiving unit, storing and marking the data once;
s2: primary classification of data: separating alarm data and non-alarm data;
s3: secondary classification of alarm data: classifying the alarm data into four types, namely a picture type, a voice type, a video type and an error type;
s4: and (4) classifying alarm data for three times: acquiring alarm information, then classifying the alarm information for three times, and classifying the alarm information into a network security class, a network hardware class and a network software class;
s5: and (3) result feedback: and receiving the processing result of the alarm information.
Example two:
s1: and (3) total data receiving: receiving the data received by the receiving unit, storing and marking the data once;
s2: primary classification of data: separating alarm data and non-alarm data, wherein the non-alarm data enters a non-alarm database for source feedback and marking information;
s3: secondary classification of alarm data: the alarm data is classified into four types, namely a picture type, a voice type, a video type and an error type, and the picture type is as follows: importing the pictures into a picture recognition system, recognizing and marking the pictures one by one, wherein the language class is as follows: and importing the voice information into a voice recognition system one by one, reading the voice one by one, and classifying videos: importing the video information into a video browsing system, browsing one by one, separating useful information, and classifying errors: feeding back and marking the error alarm information, tracing the source of the error alarm, checking the times of the error alarm information, and separating intention from intention; specially marking the intentional information and reporting the intentional information;
s4: and (4) classifying alarm data for three times: acquiring alarm information, then classifying the alarm information for three times, and classifying the alarm information into a network security class, a network hardware class, a network software class and a network security class: and (3) rechecking the alarm information, if the rechecking result is true, performing alarm operation, and reporting the source tracing information, wherein the network hardware class is as follows: exporting the alarm information, communicating hardware workers, feeding back information of the components needing to be maintained, and carrying out network software type: exporting the alarm information, communicating software workers and rechecking a software source code to be overhauled;
s5: and (3) result feedback: and receiving the processing result of the alarm information, recording the progress and speed of alarm information processing, and storing the processed alarm information in a classified manner.
Example three:
s1: and (3) total data receiving: receiving the data received by the receiving unit, storing and marking the data once;
s2: primary classification of data: separating alarm data and non-alarm data, wherein the non-alarm data enters a non-alarm database for source feedback and marking information; the method can be used for quickly pre-screening a large amount of inrush data, and the processing pressure of a system end is reduced.
S3: secondary classification of alarm data: the alarm data is classified into four types, namely a picture type, a voice type, a video type and an error type, and the picture type is as follows: importing the pictures into a picture recognition system, recognizing and marking the pictures one by one, wherein the language class is as follows: and importing the voice information into a voice recognition system one by one, reading the voice one by one, and classifying videos: importing the video information into a video browsing system, browsing one by one, separating useful information, and classifying errors: feeding back and marking the error alarm information, tracing the source of the error alarm, checking the times of the error alarm information, and separating intention from intention; specially marking the intentional information and reporting the intentional information; the system end can process the alarm information of the pictures, can identify the voice information, quickly analyze effective information, can process the video information, and process and mark the alarm information which is reported by mistake or reported by mistake, thereby preventing malicious alarm information from being frequently sent, and calculating the frequent sending position of the alarm information by counting the times and tracing of the wrong alarm information.
S4: and (4) classifying alarm data for three times: acquiring alarm information, then classifying the alarm information for three times, and classifying the alarm information into a network security class, a network hardware class, a network software class and a network security class: and (3) rechecking the alarm information, if the rechecking result is true, performing alarm operation, and reporting the source tracing information, wherein the network hardware class is as follows: exporting the alarm information, communicating hardware workers, feeding back information of the components needing to be maintained, and carrying out network software type: exporting the alarm information, communicating software workers and rechecking a software source code to be overhauled; malicious alarm information is effectively avoided, hardware alarm information can be fed back and maintained quickly, and software alarm information can be processed conveniently.
S5: and (3) result feedback: the processing result of the alarm information is received, the progress and the speed of alarm information processing are recorded, the processed alarm information is classified and stored, the processing effect of the alarm information in the later period is fed back conveniently, the processed alarm information can be used as a reference, the related working quality is improved, the whole flow of the alarm information can be recorded, marked and traced, and the later period is convenient to search and demonstrate.
The invention classifies a large amount of data through data one-time classification, separates out alarm information and non-alarm information, processes the alarm information in advance, conveniently eliminates unimportant information and reduces the operating pressure of a system end; through the secondary classification of the alarm data, the alarm information can be divided into four types: the method comprises the following steps of (1) processing four kinds of alarm information in a picture type, a voice type, a video type and an error type, effectively screening a large amount of alarm information and quickly positioning the effective alarm information; by classifying the alarm information three times, the alarm information can be classified into three categories: the network security class, the network hardware class and the network software class can process the alarm information in all directions, and the system end quickly defines the information class and the information position, so that the speed and the progress of processing the alarm information on line by the system end are ensured, and the running cost of the system end is reduced.
The specific embodiments described herein are merely illustrative of the spirit of the invention. Various modifications or additions may be made to the described embodiments or alternatives may be employed by those skilled in the art without departing from the spirit or ambit of the invention as defined in the appended claims.
Claims (10)
1. An on-line processing method for communication network alarm is characterized by comprising the following steps:
s1: and (3) total data receiving: receiving the data received by the receiving unit, storing and marking the data once;
s2: primary classification of data: separating alarm data and non-alarm data;
s3: secondary classification of alarm data: classifying the alarm data into four types, namely a picture type, a voice type, a video type and an error type;
s4: and (4) classifying alarm data for three times: acquiring alarm information, then classifying the alarm information for three times, and classifying the alarm information into a network security class, a network hardware class and a network software class;
s5: and (3) result feedback: and receiving the processing result of the alarm information.
2. The method of claim 1, wherein in S2, the non-alarm data enters the non-alarm database, and the non-alarm data is fed back to the source and marked.
3. The method according to claim 1, wherein in S3, the picture class: importing the pictures into a picture recognition system, recognizing and marking the pictures one by one, wherein the language class is as follows: and leading the voice information into a voice recognition system one by one, and reading the voice one by one.
4. The method according to claim 1, wherein in S3, the video class: importing the video information into a video browsing system, browsing one by one, separating useful information, and classifying errors: and feeding back and marking the error alarm information, and tracing the source of the error alarm.
5. The method according to claim 1, wherein in S3, the number of times of checking the error type information is checked to separate intentional and unintentional; and the intentional information is specially marked and reported.
6. The method according to claim 1, wherein in S4, the network security class: and (4) rechecking the alarm information, if the rechecking result is true, performing alarm operation, and reporting the tracing information.
7. The method according to claim 1, wherein in S4, the network hardware class: and exporting the alarm information, communicating hardware workers and feeding back information of the parts needing to be maintained.
8. The method according to claim 1, wherein in S4, the network software class: and exporting the alarm information, communicating software workers and rechecking the software source code to be overhauled.
9. The method for processing the alarm in the communication network according to claim 1, wherein in S5, the progress and speed of the alarm information processing are recorded.
10. The method according to claim 1, wherein in S5, the processed alarm information is classified and stored.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202210397737.6A CN114915540A (en) | 2022-04-08 | 2022-04-08 | Communication network alarm on-line processing method |
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| CN202210397737.6A CN114915540A (en) | 2022-04-08 | 2022-04-08 | Communication network alarm on-line processing method |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015043441A1 (en) * | 2013-09-24 | 2015-04-02 | 许继集团有限公司 | Smart alarm inference method based on multi-scenario analysis |
| CN111224988A (en) * | 2020-01-08 | 2020-06-02 | 国网陕西省电力公司信息通信公司 | Network security information filtering method |
| CN114116414A (en) * | 2021-11-19 | 2022-03-01 | 中国工商银行股份有限公司 | Alarm method, alarm device, nonvolatile storage medium and electronic equipment |
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2022
- 2022-04-08 CN CN202210397737.6A patent/CN114915540A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015043441A1 (en) * | 2013-09-24 | 2015-04-02 | 许继集团有限公司 | Smart alarm inference method based on multi-scenario analysis |
| CN111224988A (en) * | 2020-01-08 | 2020-06-02 | 国网陕西省电力公司信息通信公司 | Network security information filtering method |
| CN114116414A (en) * | 2021-11-19 | 2022-03-01 | 中国工商银行股份有限公司 | Alarm method, alarm device, nonvolatile storage medium and electronic equipment |
Non-Patent Citations (1)
| Title |
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| 王洋: "信息通信网络告警数据多维度分析方法研究", 《网络新媒体技术》, vol. 4, no. 4, pages 9 - 13 * |
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Application publication date: 20220816 |