CN105517027B - A kind of method and device accelerating great alarming processing - Google Patents
A kind of method and device accelerating great alarming processing Download PDFInfo
- Publication number
- CN105517027B CN105517027B CN201410546460.4A CN201410546460A CN105517027B CN 105517027 B CN105517027 B CN 105517027B CN 201410546460 A CN201410546460 A CN 201410546460A CN 105517027 B CN105517027 B CN 105517027B
- Authority
- CN
- China
- Prior art keywords
- alarm
- network element
- major
- alarms
- invalid
- 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
- 238000012545 processing Methods 0.000 title claims abstract description 44
- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000010276 construction Methods 0.000 claims description 4
- 238000012856 packing Methods 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims description 3
- 230000005540 biological transmission Effects 0.000 description 16
- 238000004458 analytical method Methods 0.000 description 9
- 238000010295 mobile communication Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 238000004806 packaging method and process Methods 0.000 description 3
- 230000008030 elimination Effects 0.000 description 2
- 238000003379 elimination reaction Methods 0.000 description 2
- 238000010219 correlation analysis Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 238000007429 general method Methods 0.000 description 1
Landscapes
- Alarm Systems (AREA)
- Telephonic Communication Services (AREA)
Abstract
The invention discloses a kind of methods for accelerating great alarming processing, construct super network element, the great warning information that the super network element occurs is obtained, determines the invalid associated alarm in specified time in the associated alarm of the great alarm, and the invalid associated alarm is rejected from the associated alarm；The work order associated alarm after the invalid associated alarm will be rejected be embedded in the great alarm.The present invention further simultaneously discloses a kind of device for accelerating great alarming processing.
Description
Technical Field
The invention relates to the technical field of mobile communication network management, in particular to a method and a device for accelerating major alarm processing.
Background
There are many reasons for generating a great alarm in a mobile communication network management system, including the reason of the device itself and the reason of the alarm transmission of other devices on the network. For the reason of the device, the reason is easy to find through the alarm correlation analysis of the device, but the root reason of many alarms is caused by the alarm transmission of other devices on the network. Due to the complexity of the network, at present, after a major alarm occurs, the fault can be eliminated only by depending on manual work according to experience. The general method is to inquire the alarm of the device in time, if no reason is found, inquire the alarm of other devices on the network connected with the device in the time point, judge the reason of the alarm according to experience and adopt corresponding measures to solve the fault. The whole fault analysis process lacks the application of long-time-span historical data, experiences also lack complete data support, network equipment for mobile communication is dynamically changed, software of each equipment is continuously adjusted, and the external environment is also changeable, so that the fault elimination of the equipment in the network is not enough only according to the experiences.
Disclosure of Invention
In view of this, the embodiments of the present invention are expected to provide a method and an apparatus for accelerating the processing of a major alarm, which simplify the alarm analysis, accelerate the discovery and processing of key alarm reasons, and have strong versatility and high reliability.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
the embodiment of the invention provides a method for accelerating the processing of major alarms, which constructs a super network element and further comprises the following steps:
acquiring major alarm information generated by the super network element, determining invalid associated alarms in associated alarms of the major alarms within specified time, and removing the invalid associated alarms from the associated alarms;
and embedding the correlation alarm after the invalid correlation alarm is removed into the work order of the major alarm.
In the foregoing solution, the constructing a super network element includes: and respectively taking each equipment in a resource management database as a core, packing the equipment and the equipment related to the equipment into a network element group, and naming the network element group by the name of the equipment to form the super network element.
In the foregoing solution, the acquiring the major alarm information generated by the extranet element includes: and extracting the alarm historical data of the super network element from an alarm historical database, and inquiring the major alarm generated by the super network element according to the alarm historical data of the super network element.
In the foregoing solution, the determining an invalid associated alarm in the associated alarms of the major alarm within the specified time includes:
and calculating the confidence coefficient and the noise degree of the associated alarm of the major alarm within the specified time according to the extracted alarm historical data of the super network element, and determining the associated alarm as an invalid associated alarm when the value of the confidence coefficient in the associated alarm is smaller than a preset critical value or the value of the noise degree is larger than a preset rejection value.
In the above scheme, the method further comprises:
and calculating the average time from the correlation alarm to the major alarm after the invalid correlation alarm is removed, and embedding the average time into the work order of the major alarm.
The embodiment of the invention also provides a device for accelerating the processing of the major alarms, which comprises the following components: the device comprises a construction module, a processing module and an embedded module; wherein,
the constructing module is used for constructing the super network element;
the processing module is used for acquiring major alarm information generated by the super network element, determining invalid associated alarms in associated alarms of the major alarms within specified time, and removing the invalid associated alarms from the associated alarms;
and the embedding module is used for embedding the associated alarm after the invalid associated alarm is removed into the work order of the major alarm.
In the above scheme, the construction module is specifically configured to pack the device and the device related to the device into a network element group with each device in the resource management database as a core, and name the network element group with the name of the device to form the super network element.
In the foregoing scheme, the processing module is specifically configured to extract alarm history data of the super network element from an alarm history database, and query a major alarm generated by the super network element according to the alarm history data of the super network element.
In the foregoing solution, the processing module is specifically configured to calculate a confidence level and a noise level of the associated alarm of the major alarm within a specified time according to the extracted alarm history data of the super-network element, and determine that the associated alarm is an invalid associated alarm when a value of the confidence level in the associated alarm is smaller than a preset critical value or a value of the noise level is larger than a preset reject value.
In the above scheme, the apparatus further comprises: and the calculation module is used for calculating the average time from the correlation alarm to the major alarm after the invalid correlation alarm is removed, and embedding the average time into the work order of the major alarm.
The method and the device for accelerating the processing of the major alarms provided by the embodiment of the invention construct the super network element, acquire major alarm information generated by the super network element, determine invalid associated alarms in associated alarms of the major alarms within specified time, and remove the invalid associated alarms from the associated alarms; and embedding the correlation alarm after the invalid correlation alarm is removed into the work order of the major alarm. Therefore, by constructing the super network element, the alarm analysis of various cross-professional devices in the mobile communication network management system is converted into the alarm analysis of a single super network element, the alarm analysis of major alarm devices is simplified, the elimination of alarm faults is accelerated, and the prejudgment of major alarm occurrence is supported.
Drawings
FIG. 1 is a flowchart illustrating a method for accelerating processing of a critical alarm according to an embodiment of the present invention;
FIG. 2 is a diagram of a super-network element with a base station as a core according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating a method for accelerating processing of a critical alarm according to a second embodiment of the present invention;
fig. 4 is a schematic structural diagram of a device for accelerating processing of a major alarm according to an embodiment of the present invention.
Detailed Description
In the embodiment of the invention, a super network element is constructed, important alarm information generated by the super network element is obtained, invalid associated alarms in associated alarms of the important alarms within specified time are determined, and the invalid associated alarms are removed from the associated alarms; and embedding the correlation alarm after the invalid correlation alarm is removed into the work order of the major alarm.
Fig. 1 is a schematic flowchart of a method for accelerating a heavy alarm processing according to an embodiment of the present invention, and as shown in fig. 1, the method for accelerating the heavy alarm processing according to the embodiment includes:
step 101: constructing a super network element;
this step may be implemented by a build module in the server;
the method specifically comprises the following steps: according to a resource management database, each equipment in a resource management system is respectively taken as a core, the equipment and the equipment related to the equipment are packed into a network element group, and the network element group is named by the name of the equipment to form a super network element;
as shown in fig. 2, two super network elements constructed by taking a base station as a core are respectively formed by taking a base station a and a base station B as cores, packing the base station a and transmission equipment, moving-loop equipment, core network equipment, wireless side equipment and the like related to the base station a into a network element group, and naming the network element group by the name of the base station a to form a super network element; similarly, packing a base station B and transmission equipment, moving-loop equipment, core network equipment, wireless side equipment and the like related to the base station B into a network element group, and naming the network element group by the name of the base station B to form a super network element;
the method for packaging the base station A and the transmission equipment, the moving loop equipment, the core network equipment, the wireless side equipment and the like related to the base station A into a network element group comprises the following steps:
and extracting the moving-ring equipment with the same name as the base station A from a resource management database as the moving-ring equipment associated with the base station A, extracting transmission equipment for providing transmission service for the base station A according to configuration information such as ports and the like, and packaging the base station A and the transmission equipment, the moving-ring equipment, the core network equipment, the wireless side equipment and the like associated with the base station A into a network element group.
As can be seen from fig. 2, the super network element allows the associated devices to overlap each other, but does not affect the final analysis, and by constructing the super network element, the cross-professional fault analysis can be converted into the analysis of a single device, thereby simplifying the cross-professional fault analysis means.
It should be noted that the operation of constructing the super network element in this step only needs to be executed when the method for accelerating the processing of the major alarm of the present invention is used for the first time, and then can be directly applied.
Step 102: acquiring major alarm information generated by the super network element, determining invalid associated alarms in associated alarms of the major alarms within specified time, and removing the invalid associated alarms from the associated alarms;
this step can be implemented by a processing module in the server;
the acquiring of the major alarm information generated by the extranet element includes: extracting alarm historical data of the super network element from an alarm historical database, and inquiring major alarms generated by the super network element according to the alarm historical data of the super network element;
wherein the alarm history data of the super network element comprises: alarm history data of each device included in the super network element; such as: the alarm history data of the super network element with the base station A as the core comprises: alarm history data of a base station A, alarm history data of moving loop equipment, transmission equipment and the like related to the base station A. Shown in table one is alarm history data for both supernet element a and supernet element B.
| Super network element A | Alarm name (from transmission equipment) | Alarm start time | End time of alarm |
| Super network element A | Alarm name (automatic ring equipment) | Alarm start time | End time of alarm |
| Super network element A | Alarm name (from base station) | Alarm start time | End time of alarm |
| Super network element B | Alarm name (from transmission equipment) | Alarm start time | End time of alarm |
| Super network element B | Alarm name (automatic ring equipment) | Alarm start time | End time of alarm |
| …… | …… | …… | …… |
Watch 1
The determining invalid associated alarms in the associated alarms of the significant alarms within the specified time comprises:
calculating the confidence coefficient and the noise degree of the associated alarm of the major alarm within the specified time according to the extracted alarm historical data of the super network element, and determining the associated alarm as an invalid associated alarm when the value of the confidence coefficient in the associated alarm is smaller than a preset critical value or the value of the noise degree is larger than a preset rejection value;
the specified time is the specified time before the occurrence of the major alarm, and can be set according to the type and actual situation of the major alarm, for example: for the service quitting alarm of the base station, the designated time is preferably half an hour before the service quitting alarm occurs;
the preset critical value can be set according to the type and actual situation of the major alarm, for example: for the warning of the service quit of the base station, the preset critical value is preferably 0.5;
the preset rejection value can be set according to the type and actual situation of the major alarm, for example: for the service quit alarm of the base station, the preset rejection value is preferably 0.5;
the former item of the alarm leads to the later item of the alarm, so the major alarm is used as the only later item, and the former item is all alarms of each device of the super network element within the specified time before the major alarm occurs, namely the related alarm of the major alarm; thus, the calculating the confidence level of the associated alarm for the significant alarm within the specified time includes:
acquiring the occurrence frequency X of each associated alarm in the associated alarms of the major alarms within the specified time, wherein the ratio X/Y of the occurrence frequency Y of the X to the occurrence frequency Y of the major alarms is the value of the confidence C of the associated alarms;
the calculating the noise level of the associated alarm of the significant alarm in the specified time comprises:
acquiring the occurrence frequency X of each associated alarm in the associated alarms of the major alarms within the specified time and the occurrence frequency Z of the associated alarms in the whole alarm history record, and calculating the noise degree R of the associated alarms to be 1-X/Z;
here, the closer the R is to 1, the more the associated alarm is prone to be rejected because the associated alarm is widely present in all alarms and is not the root cause of the occurrence of the significant alarm but a background noise alarm.
Step 103: embedding the correlation alarm after the invalid correlation alarm is removed into the work order of the major alarm;
this step can be implemented by an embedded module in the server;
here, while embedding the associated alarm from which the invalid associated alarm is rejected into the work order of the major alarm, the method further includes: calculating the average time from the correlation alarm to the major alarm after the invalid correlation alarm is removed according to the alarm historical data, and embedding the average time into a work order of the major alarm;
and embedding the correlation alarm after the invalid correlation alarm is removed and the time from the correlation alarm to the major alarm into a work order of the major alarm, thereby providing cross-professional statistical data support for checking the reason of the major alarm.
Fig. 3 is a schematic flow chart of a method for accelerating a heavy alarm processing according to a second embodiment of the present invention, and as shown in fig. 3, the flow of the method for accelerating the heavy alarm processing according to the present embodiment includes:
step 301: constructing a super network element;
the method specifically comprises the following steps: according to a resource management database, each equipment in a resource management system is taken as a core, the equipment and the equipment related to the equipment are packaged into a network element group, and the network element group is named by the name of the equipment to form a super network element.
Taking a base station A in a resource management system as an example, according to a resource management database, extracting moving-ring equipment with the same name as the base station A from the resource management database as moving-ring equipment associated with the base station A, extracting transmission equipment for providing transmission service for the base station A according to configuration information such as ports and the like, packaging the base station A and the transmission equipment, the moving-ring equipment, core network equipment, wireless side equipment and the like associated with the base station A into a network element group, and naming the network element group by the name of the base station A to form a super-network element.
It should be noted that the operation of constructing the super network element in this step only needs to be executed when the method of the present invention is used for the first time, and the operation can be directly applied subsequently.
Step 302: extracting alarm historical data of the super network element, and inquiring major alarms generated by the super network element;
the method specifically comprises the following steps: extracting alarm historical data of the super network element from an alarm historical database, and inquiring major alarms generated by the super network element according to the alarm historical data of the super network element;
in the embodiment of the invention, the major alarm is a service quit alarm of the base station; the base station with the out-of-service alarm is a base station A;
the alarm history data of the super network element comprises: alarm history data of each device included in the super network element; in the embodiment of the present invention, the alarm history data of the super network element with the base station a as a core includes: alarm history data of a base station A, alarm history data of moving loop equipment, transmission equipment and the like related to the base station A.
Step 303: calculating the noise degrees of the associated alarms of the major alarms within the specified time, sequentially judging whether the noise degree value of each associated alarm is greater than a preset rejection value, and rejecting the associated alarms of which the noise degree values are greater than the preset rejection value in the associated alarms of the major alarms;
the calculating the noise level of the associated alarm of the significant alarm in the specified time comprises: acquiring the occurrence frequency X of each associated alarm in all associated alarms of the major alarm within the specified time and the occurrence frequency Z of the associated alarm in the whole alarm history record, wherein the noise degree R of the associated alarm is 1-X/Z;
here, the specified time is the specified time before each occurrence of the major alarm, and may be set according to the type and actual situation of the major alarm, in the embodiment of the present invention, the specified time is half an hour;
in this embodiment of the present invention, the obtaining the number X of times of occurrence of each associated alarm in all associated alarms of the major alarm within the specified time includes: acquiring the frequency of the occurrence of each associated alarm of the out-of-service alarm within half an hour before the occurrence of each out-of-service alarm;
the preset rejection value can be set according to the type and the actual situation of the major alarm, and in the embodiment of the invention, the preset rejection value is 0.5;
the closer the R is to 1, the more the associated alarm tends to be rejected because it is widely present in all alarms and is not the root cause of the occurrence of the significant alarm, but a background noise alarm.
In the embodiment of the invention, the associated alarm with the noise degree value larger than the preset rejection value is the noise alarm.
Step 304: calculating the confidence coefficient of the associated alarms of the major alarms within the appointed time, sequentially judging whether the confidence coefficient value of each associated alarm is smaller than a preset critical value or not, and eliminating the associated alarms of which the confidence coefficient value in the associated alarms of the major alarms is smaller than the preset critical value;
here, the calculating the confidence level of the associated alarm of the significant alarm within the specified time includes:
acquiring the occurrence frequency X of each associated alarm in the associated alarms of the major alarms within the specified time, wherein the ratio X/Y of the occurrence frequency Y of the X to the occurrence frequency Y of the major alarms is the value of the confidence C of the associated alarms; i.e., C ═ X/Y;
the specified time is the specified time before the occurrence of the major alarm, and can be set according to the type and the actual situation of the major alarm, and in the embodiment of the invention, the specified time is half an hour before the occurrence of the quit alarm;
the preset critical value may be set according to the type and actual situation of the significant alarm, and in the embodiment of the present invention, the preset critical value is preferably 0.5.
In the embodiment of the invention, the associated alarm with the confidence level value smaller than the preset critical value is the alarm with low confidence level.
In the embodiment of the present invention, the operation sequence of step 303 and step 304 can be interchanged.
Step 305: calculating the average time from the associated alarm after eliminating the noise alarm and the low confidence alarm to the major alarm,
the method specifically comprises the following steps: and calculating the average time from the associated alarm to the major alarm after the noise alarm and the low confidence alarm are removed according to the alarm historical data.
Step 306: embedding the associated alarm after the noise alarm and the low confidence coefficient are removed and the average time from the associated alarm to the major alarm into a work order of the major alarm;
in the embodiment of the invention, the associated alarm after the noise alarm and the low confidence alarm are removed and the time from the associated alarm to the major alarm are embedded into the work order of the major alarm, so that cross-professional statistical data support is provided for the reason for checking the major alarm.
Fig. 4 is a schematic structural diagram of a device for accelerating processing of a major alarm according to an embodiment of the present invention, and as shown in fig. 4, the device for accelerating processing of a major alarm according to an embodiment of the present invention includes: a construction module 41, a processing module 42 and an embedding module 43; wherein,
the constructing module 41 is configured to construct a super network element;
the processing module 42 is configured to obtain major alarm information generated by the extranet element, determine an invalid associated alarm in associated alarms of the major alarms within a specified time, and remove the invalid associated alarm from the associated alarms;
the embedding module 43 is configured to embed the associated alarm from which the invalid associated alarm is removed into the work order of the major alarm;
here, the constructing module 41 constructs the super network element including: the constructing module 41 respectively takes each device in the resource management database as a core, packs the device and the device related to the device into a network element group, and names the network element group by the name of the device to form a super network element;
the acquiring, by the processing module 42, the major alarm information generated by the extranet element includes: the processing module 42 extracts the alarm history data of the super network element from the alarm history database, and queries the major alarm generated by the super network element according to the alarm history data of the super network element;
here, the alarm history data of the super network element includes: alarm history data of each device included in the super network element; such as: the alarm history data of the super network element with the base station A as the core comprises: alarm history data of a base station A, alarm history data of moving ring equipment, transmission equipment and the like related to the base station A;
the processing module 42 determines invalid associated alarms from the associated alarms of the significant alarms within the specified time, including: the processing module 42 calculates the confidence level and the noise level of the associated alarm of the major alarm within a specified time according to the extracted alarm history data of the super network element, and determines that the associated alarm is an invalid associated alarm when the value of the confidence level in the associated alarm is smaller than a preset critical value or the value of the noise level is larger than a preset rejection value;
the specified time is specified before the occurrence of the major alarm, and can be set according to the type and actual situation of the major alarm, for example: for the service quit alarm of the base station, the designated time is preferably half an hour;
the preset critical value can be set according to the type and actual situation of the major alarm, for example: for the warning of the service quit of the base station, the preset critical value is preferably 0.5;
the preset rejection value can be set according to the type and actual situation of the major alarm, for example: for the service quit alarm of the base station, the preset rejection value is preferably 0.5;
the processing module 42 calculating the confidence level of the associated alarm of the significant alarm within the specified time includes:
the processing module 42 obtains the occurrence frequency X of each associated alarm in the associated alarms of the major alarms within a specified time, where the ratio X/Y of the occurrence frequency Y of the X to the occurrence frequency Y of the major alarms is the value of the confidence C of the associated alarm;
the processing module 42 calculating the noise level of the associated alarm of the significant alarm within the specified time includes:
the processing module 42 obtains the number of times X of occurrence of each of the associated alarms of the major alarms within the specified time and the number of times Z of occurrence of the associated alarms in the whole alarm history record, where the noise level R of the associated alarms is 1-X/Z;
here, the closer the R is to 1, the more the associated alarm is prone to be rejected because the associated alarm is widely present in all alarms and is not the root cause of the occurrence of the significant alarm but a background noise alarm.
Further, the apparatus further comprises: a calculating module 44, configured to calculate an average time from the correlation alarm to the major alarm after the invalid correlation alarm is removed, and embed the average time into a work order of the major alarm;
the calculating module 44 calculates the average time from the associated alarm after the invalid associated alarm is removed to the major alarm, and includes: the calculation module 44 calculates the average time from the associated alarm to the major alarm after the invalid associated alarm is removed according to the alarm history data
In the embodiment of the present invention, the apparatus for accelerating the processing of the major alarm may be located in a server, and the configuration module 41, the processing module 42, the embedding module 43 and the calculating module 44 may all be implemented by a Central Processing Unit (CPU) in the server, a Digital Signal Processor (DSP), or a Field Programmable Gate Array (FPGA).
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.
Claims (8)
1. A method for accelerating processing of a major alarm, wherein each device in a resource management database is used as a core, the device and a device related to the device are packaged into a network element group, and the network element group is named by the name of the device, so as to construct a super network element, the method further comprising:
acquiring major alarm information generated by the super network element, determining invalid associated alarms in the associated alarms of the major alarms within specified time according to alarm historical data of the super network element, and removing the invalid associated alarms from the associated alarms;
and embedding the correlation alarm after the invalid correlation alarm is removed into the work order of the major alarm.
2. The method of claim 1, wherein the obtaining of the significant alarm information generated by the super cell comprises: and extracting the alarm historical data of the super network element from an alarm historical database, and inquiring the major alarm generated by the super network element according to the alarm historical data of the super network element.
3. The method of claim 2, wherein the determining invalid associated alarms from the associated alarms of the significant alarms within a specified time according to the alarm history data of the super network element comprises:
and calculating the confidence coefficient and the noise degree of the associated alarm of the major alarm within the specified time according to the extracted alarm historical data of the super network element, and determining the associated alarm as an invalid associated alarm when the value of the confidence coefficient in the associated alarm is smaller than a preset critical value or the value of the noise degree is larger than a preset rejection value.
4. The method of claim 1, further comprising:
and calculating the average time from the correlation alarm to the major alarm after the invalid correlation alarm is removed, and embedding the average time into the work order of the major alarm.
5. An apparatus for accelerating the processing of a significant alert, the apparatus comprising: the device comprises a construction module, a processing module and an embedded module; wherein,
the constructing module is used for respectively taking each device in a resource management database as a core, packing the device and the device related to the device into a network element group, naming the network element group by the name of the device, and constructing the super network element;
the processing module is used for acquiring major alarm information generated by the super network element, determining invalid associated alarms in associated alarms of the major alarms within specified time according to alarm historical data of the super network element, and removing the invalid associated alarms from the associated alarms;
and the embedding module is used for embedding the associated alarm after the invalid associated alarm is removed into the work order of the major alarm.
6. The apparatus of claim 5, wherein the processing module is specifically configured to extract the alarm history data of the super network element from an alarm history database, and query a significant alarm generated by the super network element according to the alarm history data of the super network element.
7. The apparatus according to claim 6, wherein the processing module is specifically configured to calculate a confidence level and a noise level of an associated alarm of the significant alarm within a specified time according to the extracted alarm history data of the super-network element, and determine that the associated alarm is an invalid associated alarm when a value of the confidence level in the associated alarm is smaller than a preset critical value or a value of the noise level is larger than a preset reject value.
8. The apparatus of claim 5, further comprising: and the calculation module is used for calculating the average time from the correlation alarm to the major alarm after the invalid correlation alarm is removed, and embedding the average time into the work order of the major alarm.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410546460.4A CN105517027B (en) | 2014-10-15 | 2014-10-15 | A kind of method and device accelerating great alarming processing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410546460.4A CN105517027B (en) | 2014-10-15 | 2014-10-15 | A kind of method and device accelerating great alarming processing |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105517027A CN105517027A (en) | 2016-04-20 |
| CN105517027B true CN105517027B (en) | 2019-02-22 |
Family
ID=55724587
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410546460.4A Active CN105517027B (en) | 2014-10-15 | 2014-10-15 | A kind of method and device accelerating great alarming processing |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105517027B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101257694A (en) * | 2007-11-22 | 2008-09-03 | ***通信集团山东有限公司 | Mobile communication network managing intelligent sending method based on information support system |
| CN101582807A (en) * | 2009-07-02 | 2009-11-18 | 北京讯风光通信技术开发有限责任公司 | Method and system based on northbound interface to realize network management |
| CN101958803A (en) * | 2010-09-09 | 2011-01-26 | 中兴通讯股份有限公司 | Alarm compression system and method based on communication network |
| CN102571407A (en) * | 2010-12-30 | 2012-07-11 | ***通信集团河北有限公司 | Alarm correlation analysis method and device |
| CN103324128A (en) * | 2013-05-30 | 2013-09-25 | 国家电网公司 | Primary equipment fault warning comprehensive compression method in power dispatching automation system |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103430483B (en) * | 2011-03-03 | 2016-07-27 | 瑞典爱立信有限公司 | For determining the technology of the correlating event in communication system |
-
2014
- 2014-10-15 CN CN201410546460.4A patent/CN105517027B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101257694A (en) * | 2007-11-22 | 2008-09-03 | ***通信集团山东有限公司 | Mobile communication network managing intelligent sending method based on information support system |
| CN101582807A (en) * | 2009-07-02 | 2009-11-18 | 北京讯风光通信技术开发有限责任公司 | Method and system based on northbound interface to realize network management |
| CN101958803A (en) * | 2010-09-09 | 2011-01-26 | 中兴通讯股份有限公司 | Alarm compression system and method based on communication network |
| CN102571407A (en) * | 2010-12-30 | 2012-07-11 | ***通信集团河北有限公司 | Alarm correlation analysis method and device |
| CN103324128A (en) * | 2013-05-30 | 2013-09-25 | 国家电网公司 | Primary equipment fault warning comprehensive compression method in power dispatching automation system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105517027A (en) | 2016-04-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108052408B (en) | Alarm work order rapid submitting method and system based on alarm information content | |
| US9917744B2 (en) | Method and system for monitoring quality of data transmission in IDC network | |
| RU2012147805A (en) | UE-BASED MEASUREMENT AND MESSAGE OF MDT AFTER THE RADIO LINK IN THE CELLULAR RADIO ACCESS | |
| AU2013403050B2 (en) | Noise surveillance system | |
| MX2019013106A (en) | Wireless device, radio network node, and methods performed therein for handling communication in a wireless communication network. | |
| CN108489000A (en) | Detection method, device, system and the air conditioner of unit exception | |
| CN102740342A (en) | Network management equipment performance simulation test method and system | |
| CN111352759A (en) | Alarm root cause judgment method and device | |
| CN111541986B (en) | Positioning method, positioning device, storage medium and processor | |
| RU2020106620A (en) | PROVIDING COMMANDS RELATED TO MEASUREMENT PERFORMED BY A WIRELESS COMMUNICATION DEVICE ON A SIGNAL RECEIVED FROM A WIRELESS COMMUNICATION NETWORK | |
| CN106776341A (en) | The test errors localization method and device of client-side program | |
| RU2016148495A (en) | SYSTEM AND METHOD FOR USE OF SAVED INFORMATION AT MORE HIGH LEVEL | |
| WO2020198517A8 (en) | Notification and acquisition of etws/cmas in connected mode for ues in ce | |
| CN107204887A (en) | A kind of SCD file and protection device CID file consistences test system and method | |
| CN104219087A (en) | Fault location method | |
| CN105517027B (en) | A kind of method and device accelerating great alarming processing | |
| CN113656252B (en) | Fault positioning method, device, electronic equipment and storage medium | |
| CN109309535A (en) | AP equipment wireless automatic detection system and method | |
| EP3061292B1 (en) | System and method for localization and traffic density estimation via segmentation and calibration sampling | |
| CN110908956B (en) | Information protection master station system and fault information archiving method thereof | |
| US10182307B2 (en) | System for providing location-based social networking services to users of mobile devices | |
| CN106304122B (en) | Business data analysis method and system | |
| CN110275509A (en) | A kind of energy-accumulating power station test of supervisor method and system | |
| CN108257248B (en) | For monitoring the method and apparatus and analytical equipment of production equipment | |
| CN104360594A (en) | Method for acquiring trusted time service of extra-high voltage transformer substation |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |