CN115331400B - Alarm fusion method, system and medium based on distributed optical fiber sensing - Google Patents
Alarm fusion method, system and medium based on distributed optical fiber sensing Download PDFInfo
- Publication number
- CN115331400B CN115331400B CN202210956758.7A CN202210956758A CN115331400B CN 115331400 B CN115331400 B CN 115331400B CN 202210956758 A CN202210956758 A CN 202210956758A CN 115331400 B CN115331400 B CN 115331400B
- Authority
- CN
- China
- Prior art keywords
- alarm
- primary
- alarms
- cluster
- class
- 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.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/08—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
-
- 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
- H04B10/071—Arrangements for monitoring or testing transmission systems; Arrangements for fault measurement of transmission systems using a reflected signal, e.g. using optical time domain reflectometers [OTDR]
-
- 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
- H04B10/25—Arrangements specific to fibre transmission
- H04B10/2575—Radio-over-fibre, e.g. radio frequency signal modulated onto an optical carrier
Abstract
The invention relates to an alarm fusion method, a system and a medium based on distributed optical fiber sensing, belonging to the technical field of distributed optical fiber sensing; acquiring a large amount of alarm information and converting the alarm information into a unified format; extracting a specific feature vector from the alarm information according to the fusion requirement to obtain a primary alarm, and sending the primary alarm to a buffer zone for data buffering; the Alarm vector of the primary Alarm is Alarm: { AlarmType, alarmPosition, dateTime }; combining primary alarms with the same alarm type to obtain alarm classes, wherein each alarm class comprises a plurality of first alarm clusters, and the vectors of the alarm classes are A { AlarmTYPE, priority, am, ac }; based on different alarm types AlarmTYpe, respectively carrying out position attribute AlarmPosition judgment and time attribute DateTime judgment processing on the primary alarms to obtain the priority of the primary alarms and sequencing the primary alarms; the invention combines the repeated information by judging the type, time and position of the alarm information in turn, effectively eliminates repeated alarms, reduces information redundancy and improves the detection efficiency of the alarm system.
Description
Technical Field
The invention relates to the technical field of distributed optical fiber sensing, in particular to an alarm fusion method, an alarm fusion system and an alarm fusion medium based on distributed optical fiber sensing.
Background
The principle of the distributed optical fiber sensing system is that an optical fiber is used as a sensing sensitive element and a transmission signal medium, and an advanced otdr technology and an advanced ofdr technology are adopted to detect the temperature and strain changes at different positions along the optical fiber, so that the real distributed measurement is realized.
Although the performance of the existing distributed optical fiber sensing system is continuously improved, the generated alarm quantity is still quite large, and in addition to the correct alarm, a large number of false alarms and repeated alarms are included in the alarms, so that an administrator is busy processing the false alarms and the repeated alarms, and thus the true important and valuable alarms can be possibly ignored, and the following problems are mainly faced:
(1) A great number of false alarms. The performance of each distributed optical fiber sensing device is different, and false alarms can be inevitably generated by any detection technology.
(2) Data flooding problems. The same event detected by different sensing devices may generate multiple repeated alarms or a large number of the same alarms in a very short time. These duplicate redundant alarms may increase the amount of alarms that an administrator needs to handle by orders of magnitude. Meanwhile, the repeated alarm information can cause that some real threat valuable alarms are submerged in alarm flood and are not found by an administrator, so that the performance of the distributed optical fiber sensing system is reduced.
Disclosure of Invention
In order to solve the problems in the background art, the invention provides an alarm fusion method, an alarm fusion system and an alarm fusion medium based on distributed optical fiber sensing.
In a first aspect, the present invention provides an alarm fusion method based on distributed optical fiber sensing, which adopts the following technical scheme:
an alarm fusion method based on distributed optical fiber sensing comprises the following steps:
acquiring a large amount of alarm information and converting the alarm information into a unified format;
extracting a specific feature vector from the alarm information according to the fusion requirement to obtain a primary alarm, and sending the primary alarm to a buffer zone for data buffering; the Alarm vector of the primary Alarm is Alarm { AlarmType, alarmPosition, dateTime }, alarmTYPE represents the Alarm type, alarmPosition represents the Alarm position, and DateTime represents the Alarm time;
combining primary alarms with the same alarm type to obtain an alarm type; each alarm class comprises a plurality of first alarm clusters, and the alarm class vector is A { AlarmTYPE, priority, am, ac }; am is greater than or equal to ac, ac is the number of alarms, and am is the maximum number of primary alarms which can be accommodated in the alarm class;
and based on different alarm types AlarmTYpe, respectively carrying out position attribute judgment and time attribute judgment processing on the primary alarms to obtain the priority of the primary alarms and sequencing the priority.
By adopting the technical scheme, after a large amount of alarm information is acquired, the alarm information is classified according to the event types, combined according to time and position, repeated redundant alarms are removed, the priority of the alarm event is obtained, the alarm event is processed according to the priority order, the efficiency of processing the alarm event is improved, and the time for checking whether the alarm event is effective is shortened.
Preferably, primary alarms with the same alarm type are combined to obtain an alarm class, and the specific steps are as follows:
each alarm class is provided with an alarm primitive, and an alarm set vector of the alarm primitive P is P: { p, priority, am, ac };
and comparing the primary alarm with the original alarm shape, and entering a corresponding alarm class if the types are in accordance.
Preferably, the generating step of the first alarm cluster specifically includes the following steps:
based on the same alarm class, primary alarms are further combined according to alarm time to form a first alarm cluster, and the first alarm cluster vector is R: { AlarmType, dateTime, priority, am, ac }.
Preferably, based on different alarm types AlarmType, the primary alarms are respectively subjected to position attribute judgment and time attribute judgment processing to obtain the priority of the primary alarms, and the specific steps are as follows:
Step1：
the preprocessed primary Alarm Alarm [ i ] enters a corresponding Alarm class A through an Alarm type AlarmTYpe attribute, and the position attribute AlarmPosition of the primary Alarm Alarm [ i ] is detected;
if the first Alarm cluster Ri exists, and the position attribute AlarmPosition of the primary Alarm Alarm [ i ] is the same as that of the first Alarm cluster Ri, entering the first Alarm cluster Ri by the primary Alarm Alarm [ i ] and entering a step 2;
if primary alarms Alarm [ j ] with different types from primary alarms Alarm [ i ] exist, so that the position attributes Alarm [ i ] and Alarm [ j ] are the same, combining Alarm [ i ] and Alarm [ j ] to form a new second Alarm cluster Rj, setting the priority of the second Alarm cluster Rj as 2, recording the Alarm quantity ac+1 of the Alarm class A, recording the Alarm positions Alarm [ i ] and inserting the Alarm positions into corresponding positions by a direct insertion sorting method, and if the am of ac > A of A at the moment, deleting the Alarm class A which is the isolated Alarm in the Alarm class at first;
if no Alarm cluster exists or the primary Alarm is the same as the position attribute AlarmPosition of Alarm [ i ], then Alarm [ i ] becomes a new isolated Alarm in the Alarm class, after being arranged in sequence, if ac > am at the moment, the Alarm which becomes the isolated Alarm in the Alarm class first is deleted;
step2：
detecting a time attribute DateTime of Alarm [ i ] in a first Alarm cluster Ri:
if the Alarm original shape Pi exists, the time attribute of the Alarm original shape Pi is the same as that of the Alarm original shape Pi, the Alarm original shape Pi is repeatedly alarmed by indicating that the Alarm original shape Pi is the Alarm, setting the priority +1 of the Alarm original shape Pi, deleting the repeated Alarm, and sorting the Alarm original shape according to the priority by a direct sorting method;
if the isolated Alarm Alarm [ k ] exists in the first Alarm cluster Ri, so that the time attribute of the primary Alarm Alarm [ i ] is the same as that of the isolated Alarm Alarm [ k ], then Alarm [ i ] is the repeated Alarm of Alarm [ k ] to form a new Alarm original form pk, the priority of pk is set to be 2, the Alarm attribute is reserved, the repeated Alarm is deleted, and the repeated alarms are orderly arranged;
if no Alarm original shape exists or the time attribute DateTime of the isolated Alarm is the same as that of the Alarm i, the Alarm i becomes a new isolated Alarm in the Alarm cluster, and after the new isolated alarms are arranged in sequence, if ac of the first Alarm cluster Ri is greater than am of the first Alarm cluster Ri at the moment, the isolated Alarm which becomes the isolated Alarm in the Alarm cluster first is deleted.
Preferably, the second alarm cluster is an alarm cluster formed by combining primary alarms of different alarm types AlarmType according to the same alarm position.
In a second aspect, the present invention provides an alarm fusion system based on distributed optical fiber sensing, which adopts the following technical scheme:
an alarm fusion system based on distributed optical fiber sensing, comprising:
the alarm preprocessing module is used for extracting effective information of the alarm, extracting specific feature vector description events according to the fusion requirement, converting the specific feature vector description events into a unified format, and storing the unified format into an alarm information base;
the buffer module is used for storing the primary alarm;
the alarm merging and clustering module is used for merging repeated alarms to remove redundant alarms, classifying the alarms, further merging the alarms in each alarm class to form an alarm cluster, and sequencing the alarms according to priority;
and the alarm association module is used for carrying out deep association on the alarms and carrying out association combination on different alarm information of the same event in a certain time and a space. By adopting the alarm association module, the false alarm problem can be solved.
By adopting the technical scheme, after a large amount of alarm information is acquired, the alarm information is extracted through the alarm preprocessing module, specific feature vectors are extracted according to fusion requirements, the preprocessed primary alarms are sent to the buffer module for storage processing, repeated alarms are combined through the alarm combining and clustering module to remove redundant alarms, alarm classification is carried out, the alarms are further combined in each alarm class to form an alarm cluster, the alarm cluster is ordered according to priority, the problem of false alarms is solved through the alarm association module, the alarms are deeply associated, and different alarm information of the same event in space is associated and combined for a certain time.
In a third aspect, a computer-readable storage medium storing a computer program stores a computer program implementing any one of the methods of the first aspect.
In summary, the invention has the following beneficial technical effects:
1. according to the invention, the alarm information can be subjected to attribute similarity judgment processing, and the judgment processing is sequentially carried out from AlarmType, alarmPosition, dateTime, so that repeated alarms are effectively and simply combined, the repeated alarms are effectively eliminated, the information redundancy is reduced, and the efficiency of a detection system is improved;
2. the invention sets the highest capacity of the alarm class and the alarm cluster, so that the internal resources of the alarm system are reasonably utilized, a large number of alarms can not be received without limit, the space is wasted, and the working efficiency of the alarm system is improved;
3. the invention sets the buffer zone, and avoids the congestion of the alarm system and the paralysis of the system by limiting the quantity of the alarm information which can be contained in the buffer zone, so that the alarm system is always in circulation use, and the instantaneity is ensured.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a diagram of an alarm fusion module framework of the present invention.
Detailed Description
The invention is described in further detail below with reference to fig. 1-2.
The embodiment of the invention discloses an alarm fusion method based on distributed optical fiber sensing. Referring to fig. 1, an alarm fusion method based on distributed optical fiber sensing includes:
s1, acquiring a large amount of alarm information and converting the alarm information into a unified format;
in detail, the alarm information is transmitted by different devices, each distributed optical fiber sensing device senses the alarm event, the alarm information is generated by upper computer software, the alarm information is transmitted to a server side in a TCP/IP, UDP, modbus, MQTT mode, the alarm information is processed by the server to generate advanced alarm information, the alarm information is converted into a uniform format through an interface document, the uniform format is realized on a Web platform based on Java language, and the uniform format is deployed on a Linux server.
S2, extracting a specific feature vector from the alarm information according to the fusion requirement to obtain a primary alarm, and sending the primary alarm to a buffer zone for data buffering; the Alarm vector of the primary Alarm is Alarm { AlarmType, alarmPosition, dateTime }, alarmTYPE represents the type of the Alarm event, alarmPosition represents the position of the Alarm event, dateTime represents the time of the Alarm event, wherein the type of the Alarm event generally comprises personnel, machinery, vehicles, simulation and the like;
the buffer area can be provided with at most m alarms (Alarm [1], alarm [2] … … Alarm [ k ] … … Alarm [ m ]), wherein Alarm [ k ] represents the primary alarms after any pretreatment, and the buffer area is a dynamic buffer area and is mainly used for solving the problem that when the Alarm flood arrives, the system paralysis is caused because the congestion of an Alarm system is not caused by the limitation of the buffer area, and when the arrival time of two alarms is very different, the idle of the Alarm system is not caused, even the problem of Alarm expiration occurs, so that the system can always perform cyclic operation, and the real-time performance is ensured;
s3, combining primary alarms with the same alarm type to obtain an alarm class; each alarm class comprises a plurality of first alarm clusters, and the vector of the alarm class is A { AlarmTYpe, priority, am, ac };
in detail, priority represents the priority of an alarm event, namely the number of times that a certain alarm event is repeated, am is more than or equal to ac, ac represents the number of alarms, and am is the maximum number of primary alarms which can be accommodated in an alarm class;
the primary alarms with the same alarm types are combined to obtain alarm types, and the specific steps are as follows:
each alarm class is provided with an alarm primitive, and an alarm set vector of the alarm primitive P is P: { p, priority, am, ac };
comparing the primary alarm with the original alarm shape, and entering a corresponding alarm class if the primary alarm accords with the original alarm shape;
in addition, the generating step of the first alarm cluster specifically includes the following steps:
based on the same alarm class, the primary alarms are further combined according to the alarm time to form a first alarm cluster, and the vector of the first alarm cluster is R: { AlarmType, dateTime, priority, am, ac }.
S4, based on different alarm types AlarmTYpe, respectively carrying out position attribute AlarmPosition judgment and time attribute DateTime judgment processing on the primary alarms to obtain the priority of the primary alarms and sequencing the primary alarms;
the detailed steps are as follows:
Step1：
the primary Alarm Alarm [ i ] enters a corresponding Alarm class A through an Alarm type AlarmTYpe attribute, and the position attribute AlarmPosition of the primary Alarm Alarm [ i ] is detected;
if the first Alarm cluster Ri exists, and the position attribute AlarmPosition of the primary Alarm Alarm [ i ] is the same as that of the first Alarm cluster Ri, entering the first Alarm cluster Ri by the primary Alarm Alarm [ i ] and entering a step 2;
if primary alarms Alarm [ j ] with different types from primary alarms Alarm [ i ] exist, so that the position attributes Alarm [ i ] and Alarm [ j ] are the same, combining Alarm [ i ] and Alarm [ j ] to form a new second Alarm cluster Rj, setting the priority of the second Alarm cluster Rj as 2, recording the Alarm quantity ac+1 of the Alarm class A, recording the Alarm positions Alarm [ i ] and inserting the Alarm positions into corresponding positions by a direct insertion sorting method, and if the am of ac > A of A at the moment, deleting the Alarm class A which is the isolated Alarm in the Alarm class at first;
if no Alarm cluster exists or the primary Alarm is the same as the position attribute AlarmPosition of Alarm [ i ], then Alarm [ i ] becomes a new isolated Alarm in the Alarm class, after being arranged in sequence, if ac > am at the moment, the Alarm which becomes the isolated Alarm in the Alarm class first is deleted;
step2：
detecting a time attribute DateTime of Alarm [ i ] in a first Alarm cluster Ri:
if the Alarm original shape pi exists, the time attribute of the Alarm original shape pi is the same as that of the Alarm original shape pi, the Alarm original shape pi is repeatedly alarmed by indicating that the Alarm original shape pi is the Alarm, the priority of the Alarm original shape pi is set to +1, then the repeated Alarm is deleted, and the Alarm original shape is ordered according to the priority by a direct ordering method;
if the isolated Alarm Alarm [ k ] exists in the first Alarm cluster Ri, so that the time attribute of the primary Alarm Alarm [ i ] is the same as that of the isolated Alarm Alarm [ k ], then Alarm [ i ] is the repeated Alarm of Alarm [ k ] to form a new Alarm original form pk, the priority of pk is set to be 2, the Alarm attribute is reserved, the repeated Alarm is deleted, and the repeated alarms are orderly arranged;
if no Alarm original shape exists or the time attribute DateTime of the isolated Alarm is the same as that of the Alarm i, the Alarm i becomes a new isolated Alarm in the Alarm cluster, and after the new isolated alarms are arranged in sequence, if ac of the first Alarm cluster Ri is greater than am of the first Alarm cluster Ri at the moment, the isolated Alarm which becomes the isolated Alarm in the Alarm cluster first is deleted.
The primary alarms are required to be compared with the original alarms and can enter corresponding alarm types, and the second alarm cluster is formed by combining primary alarms of different alarm types AlarmTYpe according to the same alarm position;
the direct insertion ordering method is an intuitive ordering algorithm, which divides a linear table into a first half part and a second half part to be ordered, selects a first element from the first half part to be ordered, inserts the first element into a corresponding position of the first half part to be ordered until all records are inserted into the first half part to be ordered, generally judges whether the first half part has been moved to the corresponding position while moving, and specifically comprises the following steps:
step 1, starting from a first element, which element can be considered to have been ordered;
step2, taking out the next element, and scanning from back to front in the ordered element sequence;
step 3, if the element (ordered) is larger than the new element, moving the element to the next position;
step 4, repeating the step 3 until the ordered elements are found to be smaller than or equal to the positions of the new elements;
step 5, inserting the new element into the position;
and 6, repeating the steps 2-5.
In addition, the isolated alarms refer to alarms which cannot be combined, the alarms which cannot be combined mean that the alarm similarity is low, the alarm similarity reflects the similarity between two alarms, the similarity between two alarms is considered, and the common attributes of the two alarms including the alarm type, the signal strength, the specific position, the time information and the like are considered first;
the two alarms are combined, namely alarms with similar characteristics are combined together, the rule according to the alarms is similar rule, each alarm similar rule consists of a group of attribute similar rules, namely, the alarms can be combined only when certain specified attribute values are the same; in addition, the problem of similar time domains of alarms is solved, and if the time difference between the two alarm occurrence times is larger than a value set by a user according to actual conditions, the similar problem is not considered.
S5, based on the sorting of the priority, processing the alarm event corresponding to the alarm information.
The embodiment of the invention also discloses an alarm fusion system based on distributed optical fiber sensing. Referring to fig. 2, an alarm fusion system based on distributed optical fiber sensing includes:
the alarm preprocessing module is used for extracting effective information of the alarm, extracting specific feature vector description events according to the fusion requirement, converting the specific feature vector description events into a unified format, and storing the unified format into an alarm information base;
the buffer module is used for storing the primary alarm;
the alarm merging and clustering module is used for merging repeated alarms to remove redundant alarms, classifying the alarms, further merging the alarms in each alarm class to form an alarm cluster, and sequencing the alarms according to priority;
and the alarm association module is used for solving the problem of false alarm, carrying out deep association on the alarm, and carrying out association and combination on different alarm information of the same event in a certain time and a space.
The embodiment of the invention provides an alarm fusion system based on distributed optical fiber sensing, which comprises the following implementation principles: after a large amount of alarm information is acquired, effective information is extracted from the alarm information through an alarm preprocessing module, specific feature vectors are extracted according to fusion requirements, the preprocessed primary alarms are sent to a buffer module for storage processing, repeated alarms are combined through an alarm combining and clustering module to remove redundant alarms, alarm classification is carried out, the alarms are further combined in each alarm class to form an alarm cluster, the alarm cluster is ordered according to priority, the problem of false alarms is solved through an alarm association module, the alarms are deeply associated, and different alarm information of the same event in space is associated and combined for a certain time.
The embodiment of the invention also discloses a computer readable storage medium storing a computer program, and the computer program for realizing any one of the methods is stored.
The above embodiments are not intended to limit the scope of the present invention, so: all equivalent changes in structure, shape and principle of the invention should be covered in the scope of protection of the invention.
Claims (5)
1. An alarm fusion method based on distributed optical fiber sensing is characterized by comprising the following steps:
acquiring a large amount of alarm information and converting the alarm information into a unified format;
extracting a specific feature vector from the alarm information according to the fusion requirement to obtain a primary alarm, and sending the primary alarm to a buffer zone for data buffering; the Alarm vector of the primary Alarm is Alarm { AlarmType, alarmPosition, dateTime }, alarmTYPE represents the Alarm type, alarmPosition represents the Alarm position, and DateTime represents the Alarm time;
combining primary alarms with the same alarm type to obtain an alarm type; each alarm class comprises a plurality of first alarm clusters, and the vector of the alarm class is A { AlarmTYPE, priority, am, ac }; am is greater than or equal to ac, ac is the primary alarm number, and am is the maximum number of primary alarms which can be accommodated in the alarm class;
based on different alarm types AlarmTYpe, respectively carrying out position attribute judgment and time attribute judgment processing on the primary alarms to obtain the priority of the primary alarms and sequencing the priority;
combining primary alarms with the same alarm type to obtain an alarm class, wherein the specific steps are as follows:
each alarm class is provided with an alarm primitive, and an alarm set vector of the alarm primitive P is P: { p, priority, am, ac };
comparing the primary alarm with the original alarm shape, and entering a corresponding alarm class if the types are in accordance;
based on different alarm types AlarmTYpe, the primary alarms are respectively subjected to position attribute judgment and time attribute judgment processing to obtain the priority of the primary alarms, and the specific steps are as follows:
Step1：
the primary Alarm Alarm [ i ] enters a corresponding Alarm class A through an Alarm type AlarmTYpe attribute, and the position attribute AlarmPosition of the primary Alarm Alarm [ i ] is detected;
if the first Alarm cluster Ri exists, and the position attribute AlarmPosition of the primary Alarm Alarm [ i ] is the same as that of the first Alarm cluster Ri, entering the first Alarm cluster Ri by the primary Alarm Alarm [ i ] and entering a step 2;
if primary alarms Alarm [ j ] with different types from primary alarms Alarm [ i ] exist, so that the position attributes Alarm [ i ] and Alarm [ j ] are the same, combining Alarm [ i ] and Alarm [ j ] to form a new second Alarm cluster Rj, setting the priority of the second Alarm cluster Rj as 2, recording the Alarm quantity ac+1 of the Alarm class A, recording the Alarm positions Alarm [ i ] and inserting the Alarm positions into corresponding positions by a direct insertion sorting method, and if the am of ac > A of A at the moment, deleting the Alarm class A which is the isolated Alarm in the Alarm class at first;
if no Alarm cluster exists or the primary Alarm is the same as the position attribute AlarmPosition of Alarm [ i ], then Alarm [ i ] becomes a new isolated Alarm in the Alarm class, after being arranged in sequence, if ac > am at the moment, the Alarm which becomes the isolated Alarm in the Alarm class first is deleted;
step2：
detecting a time attribute DateTime of Alarm [ i ] in a first Alarm cluster Ri:
if the Alarm original shape pi exists, the time attribute of the Alarm original shape pi is the same as that of the Alarm original shape pi, the Alarm original shape pi is repeatedly alarmed by indicating that the Alarm original shape pi is the Alarm, the priority of the Alarm original shape pi is set to +1, then the repeated Alarm is deleted, and the Alarm original shape is ordered according to the priority by a direct ordering method;
if the isolated Alarm Alarm [ k ] exists in the first Alarm cluster Ri, so that the time attribute of the primary Alarm Alarm [ i ] is the same as that of the isolated Alarm Alarm [ k ], then Alarm [ i ] is the repeated Alarm of Alarm [ k ] to form a new Alarm original shape pk, the priority of the Alarm original shape pk is set to be 2, the Alarm attribute is reserved, the repeated Alarm is deleted, and the repeated alarms are orderly arranged;
if no Alarm original shape exists or the time attribute DateTime of the isolated Alarm is the same as that of the Alarm i, the Alarm i becomes a new isolated Alarm in the Alarm cluster, and after the new isolated alarms are arranged in sequence, if ac of the first Alarm cluster Ri is greater than am of the first Alarm cluster Ri at the moment, the isolated Alarm which becomes the isolated Alarm in the Alarm cluster first is deleted.
2. The alarm fusion method based on distributed optical fiber sensing according to claim 1, wherein the generating step of the first alarm cluster specifically comprises the following steps:
based on the same alarm class, primary alarms are further combined according to alarm time to form a first alarm cluster, and the first alarm cluster vector is R: { AlarmType, dateTime, priority, am, ac }.
3. The alarm fusion method based on distributed optical fiber sensing according to claim 2, wherein the second alarm cluster is an alarm cluster formed by combining primary alarms of different alarm types AlarmType according to the same alarm position.
4. An alarm fusion system based on distributed optical fiber sensing, for executing the alarm fusion method based on distributed optical fiber sensing as claimed in claim 1, comprising:
the alarm preprocessing module is used for extracting effective information of the alarm, extracting specific feature vector description events according to the fusion requirement, converting the specific feature vector description events into a unified format, and storing the unified format into an alarm information base;
the buffer module is used for storing the primary alarm;
the alarm merging and clustering module is used for merging repeated alarms to remove redundant alarms, classifying the alarms, further merging the alarms in each alarm class to form an alarm cluster, and sequencing the alarms according to priority;
and the alarm association module is used for carrying out deep association on the alarms and carrying out association combination on different alarm information of the same event in a certain time and a space.
5. A computer readable storage medium storing a computer program, characterized in that a computer program implementing the method of any of the preceding claims 1-4 is stored.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210956758.7A CN115331400B (en) | 2022-08-10 | 2022-08-10 | Alarm fusion method, system and medium based on distributed optical fiber sensing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210956758.7A CN115331400B (en) | 2022-08-10 | 2022-08-10 | Alarm fusion method, system and medium based on distributed optical fiber sensing |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115331400A CN115331400A (en) | 2022-11-11 |
| CN115331400B true CN115331400B (en) | 2023-06-30 |
Family
ID=83922206
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210956758.7A Active CN115331400B (en) | 2022-08-10 | 2022-08-10 | Alarm fusion method, system and medium based on distributed optical fiber sensing |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115331400B (en) |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9020190B2 (en) * | 2013-01-31 | 2015-04-28 | International Business Machines Corporation | Attribute-based alert ranking for alert adjudication |
| CN103684880A (en) * | 2013-12-31 | 2014-03-26 | 上海斐讯数据通信技术有限公司 | Alarming control method and alarming device |
| CN112671560B (en) * | 2020-12-11 | 2023-08-01 | 广东电力通信科技有限公司 | High-availability distributed real-time alarm processing method and system |
| CN112685393B (en) * | 2020-12-24 | 2022-05-13 | 国网福建省电力有限公司 | Intelligent alarm merging method and system for power communication network |
| CN114676791A (en) * | 2022-04-13 | 2022-06-28 | 华北电力大学（保定） | Electric power system alarm information processing method based on fuzzy evidence reasoning |
-
2022
- 2022-08-10 CN CN202210956758.7A patent/CN115331400B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN115331400A (en) | 2022-11-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US6604208B1 (en) | Incremental alarm correlation method and apparatus | |
| US7260572B2 (en) | Method of processing query about XML data using APEX | |
| CN107451149B (en) | Monitoring method and device for flow data query task | |
| CN109756364A (en) | A kind of micro services performance optimization system and analysis method based on log analysis | |
| JP2001256244A (en) | Device and method for sorting image data | |
| CN110309336A (en) | Image search method, device, system, server and storage medium | |
| JP2009251686A (en) | Document retrieval device | |
| CN106708956B (en) | A kind of HTTP data matching method based on more URL rule sets | |
| CN111708932A (en) | Cloud computing platform and scheduling and data analysis method and system thereof | |
| CN114218318B (en) | Data processing system and method for electric power big data | |
| CN109033203A (en) | A kind of feature extraction method for parallel processing towards big data | |
| Bramandia et al. | On incremental maintenance of 2-hop labeling of graphs | |
| CN115331400B (en) | Alarm fusion method, system and medium based on distributed optical fiber sensing | |
| CN106980540A (en) | A kind of computational methods of distributed Multidimensional Discrete data | |
| CN108241639B (en) | A kind of data duplicate removal method | |
| CN103020095B (en) | Message processing device and information processing method | |
| CN116545740A (en) | Threat behavior analysis method and server based on big data | |
| KR101484186B1 (en) | Indexing apparatus and method for search of security monitoring data | |
| KR101148002B1 (en) | Web robot detection system and method | |
| JPWO2020161808A1 (en) | Priority determination device, priority determination method, and control program | |
| CN115269519A (en) | Log detection method and device and electronic equipment | |
| CN116980378B (en) | Method and system for marking repeated message of micro-channel group | |
| US8166018B2 (en) | Browsing a list of data items | |
| CN109992626A (en) | A kind of data processing method and device of Multidimensional Data Model | |
| CN117131256B (en) | Media management system based on AIGC |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |