CN109474470A - One kind is from monitoring method and device - Google Patents
One kind is from monitoring method and device Download PDFInfo
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- CN109474470A CN109474470A CN201811431534.4A CN201811431534A CN109474470A CN 109474470 A CN109474470 A CN 109474470A CN 201811431534 A CN201811431534 A CN 201811431534A CN 109474470 A CN109474470 A CN 109474470A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/10—Active monitoring, e.g. heartbeat, ping or trace-route
- H04L43/103—Active monitoring, e.g. heartbeat, ping or trace-route with adaptive polling, i.e. dynamically adapting the polling rate
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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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- 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
- H04L41/0654—Management of faults, events, alarms or notifications using network fault recovery
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- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- Cardiology (AREA)
- General Health & Medical Sciences (AREA)
- Debugging And Monitoring (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The invention discloses one kind from monitoring method and device, this method comprises: obtaining the real-time status of preset monitoring service in the way of automatic regular polling；When the abnormal state of the preset monitoring service, retrieve simultaneously preliminary analysis abnormal cause to system log；Different abnormal restoring strategies is executed according to Preliminary Analysis Results.
Description
Technical field
This application involves field of computer technology, more particularly to it is a kind of from monitoring method and device.
Background technique
In cloud resource management platform, there is a large amount of virtual resource or physical equipments.Large number of resource, equipment
In the management for needing uniformly to bring into platform, and require cloud resource management platform that can monitor in real time to it.Therefore, it supervises
Control management module is a part in cloud resource management platform for realizing monitoring management key.In cloud resource management platform,
On the one hand, the usually sharp thread of monitoring management module or timing routine go query resource, the state of equipment, load often compared with
Greatly；On the other hand, monitoring management service module is an extremely important ring in cloud resource management platform, certainly to monitoring management module
The stability and robustness of body have higher requirement.However, the monitoring management module in cloud resource management platform often only focuses on
Ignore the monitoring to own services in the monitoring to other modules, or has accordingly to own services problem shortage
The fast processor system of effect.
Summary of the invention
The main purpose of the application is to provide one kind from monitoring method and device, can manage platform for cloud resource
Monitoring management is monitored, it is ensured that monitoring management service can solve the problems, such as quickly or Rapid Alarm when something goes wrong, make therefore
Barrier can be found and restore in time, substantially increase the availability of system monitoring service.
In order to solve the above-mentioned technical problem, this application provides one kind from monitoring method, comprising:
The real-time status of preset monitoring service is obtained in the way of automatic regular polling；
When the abnormal state of the preset monitoring service, system log retrieve and preliminary analysis is extremely former
Cause；
Different abnormal restoring strategies is executed according to Preliminary Analysis Results.
In an exemplary embodiment, described that different abnormal restoring strategy packets is executed according to Preliminary Analysis Results
It includes:
Determine whether abnormal cause is known reason according to Preliminary Analysis Results；
When the abnormal cause is known reason, abnormal restoring, record behaviour are executed according to existing fault solution
Make log；
When the abnormal cause is unknown cause, the corresponding database data of the preset monitoring service is inquired, it will
Daily record data for preliminary analysis carries out secondary analysis in conjunction with the database data inquired, is tasted according to secondary analysis result
Try the mode of abnormal restoring.
In an exemplary embodiment, after the mode that abnormal restoring is attempted according to secondary analysis result, institute
State method further include:
If the state of the preset monitoring service is restored, summarize this abnormal key message to obtain this
Abnormal problem description, which is described and reset mode is recorded in existing fault solution, and records operation
Log；
If the number for attempting reset mode is equal to preset maximum times, the state of the preset monitoring service is still different
Often, then report and alarm.
It is described to determine whether abnormal cause is known original according to Preliminary Analysis Results in another exemplary embodiment
Because including:
The Preliminary Analysis Results are compared with the abnormal problem in existing fault solution, if existing ask
It inscribes and there is abnormal problem identical with the Preliminary Analysis Results in solution, it is determined that the abnormal cause is known reason.
In another exemplary embodiment, the preset monitoring service includes the crucial clothes in monitoring management service
Business.
To solve the above-mentioned problems, present invention also provides a kind of self-monitoring devices, comprising: memory and processor；Its
In:
The memory is used for self-monitoring program for storing；
The processor, it is described for self-monitoring program for reading execution, it performs the following operations:
The real-time status of preset monitoring service is obtained in the way of automatic regular polling；
When the abnormal state of the preset monitoring service, system log retrieve and preliminary analysis is extremely former
Cause；
Different abnormal restoring strategies is executed according to Preliminary Analysis Results.
In an exemplary embodiment, described that different abnormal restoring strategy packets is executed according to Preliminary Analysis Results
It includes:
Determine whether abnormal cause is known reason according to Preliminary Analysis Results；
When the abnormal cause is known reason, abnormal restoring, record behaviour are executed according to existing fault solution
Make log；
When the abnormal cause is unknown cause, the corresponding database data of the preset monitoring service is inquired, it will
Daily record data for preliminary analysis carries out secondary analysis in conjunction with the database data inquired, is tasted according to secondary analysis result
Try the mode of abnormal restoring.
In an exemplary embodiment, the processor, which is read, is used for self-monitoring program described in execution, also execute
Following operation:
After the mode for attempting abnormal restoring according to secondary analysis result,
If the state of the preset monitoring service is restored, summarize this abnormal key message to obtain this
Abnormal problem description, which is described and reset mode is recorded in existing fault solution, and records operation
Log；
If the number for attempting reset mode is equal to preset maximum times, the state of the preset monitoring service is still different
Often, then report and alarm.
It is described to determine whether abnormal cause is known original according to Preliminary Analysis Results in another exemplary embodiment
Because including:
The Preliminary Analysis Results are compared with the abnormal problem in existing fault solution, if existing ask
It inscribes and there is abnormal problem identical with the Preliminary Analysis Results in solution, it is determined that the abnormal cause is known reason.
In another exemplary embodiment, the preset monitoring service includes the crucial clothes in monitoring management service
Business.
To sum up, according to an embodiment of the present invention from monitoring method and device, it is obtained in the way of automatic regular polling preset
The real-time status of monitoring service；When the abnormal state of the preset monitoring service, system log retrieve and preliminary
Analyze abnormal cause；Different abnormal restoring strategies is executed according to Preliminary Analysis Results.The embodiment of the present invention from monitoring method
May insure that monitoring management service can solved the problems, such as quickly or Rapid Alarm when something goes wrong, enable failure in time by
It was found that and restore, substantially increase the availability of system monitoring service.
Detailed description of the invention
Fig. 1 is the flow chart from monitoring method of the embodiment of the present invention.
Fig. 2 is the structural schematic diagram of the self-monitoring device of the embodiment of the present invention.
Fig. 3 is the exemplary flow chart from monitoring method of a concrete application of the invention.
Specific embodiment
For the purposes, technical schemes and advantages of the application are more clearly understood, below in conjunction with attached drawing to the application
Embodiment be described in detail.It should be noted that in the absence of conflict, in the embodiment and embodiment in the application
Feature can mutual any combination.
Fig. 1 is the flow chart from monitoring method of the embodiment of the present invention.According to the flow chart of Fig. 1, the present embodiment is supervised certainly
Prosecutor method the following steps are included:
Step S1: the real-time status of preset monitoring service is obtained in the way of automatic regular polling.
Step S2: when the abnormal state of the preset monitoring service, retrieve simultaneously preliminary analysis to system log
Abnormal cause.
Step S3: different abnormal restoring strategies is executed according to Preliminary Analysis Results.
It in an exemplary embodiment, can be according to preset monitoring service for the first timer of automatic regular polling
The characteristics of be arranged, be perhaps arranged according to the demand of user or according to the operating parameter of current cloud platform and combine user
Demand be arranged.Wherein, preset monitoring service can be one or more, and the first timer of automatic regular polling is also possible to
The time value of one or more, multiple timer settings can be different.The application is to the first timer for automatic regular polling
It is arranged and the number of preset monitoring service is not specifically limited.
In an exemplary embodiment, executing different abnormal restoring strategies according to Preliminary Analysis Results includes:
Determine whether abnormal cause is known reason according to Preliminary Analysis Results；
When the abnormal cause is known reason, abnormal restoring, record behaviour are executed according to existing fault solution
Make log；
When the abnormal cause is unknown cause, the corresponding database data of the preset monitoring service is inquired, it will
Daily record data for preliminary analysis carries out secondary analysis in conjunction with the database data inquired, is tasted according to secondary analysis result
Try the mode of abnormal restoring.
In an exemplary embodiment, when carrying out secondary analysis, it is fixed for the second of secondary analysis to can star
When device, if second timer is overtime, still without obtaining secondary analysis as a result, abnormal service will be restarted as abnormal restoring
Mode, and record secondary analysis time-out.
In an exemplary embodiment, after the mode for attempting abnormal restoring, the method also includes:
If the state of the preset monitoring service is restored, summarize this abnormal key message to obtain this
Abnormal problem description, which is described and reset mode is recorded in existing fault solution, and records operation
Log；
If the number for attempting reset mode is equal to preset maximum times, the state of the preset monitoring service is still different
Often, then report and alarm.
In an exemplary embodiment, preset maximum times can be 1.
In another exemplary embodiment, when preset monitoring service is multiple, different preset monitoring clothes
Corresponding preset maximum times of being engaged in can be different.
It in an exemplary embodiment, can be to preset monitoring service when preset monitoring service is multiple
It is classified.For example, can be divided into high, medium and low three priority, the preset monitoring service of different priority can be corresponded to
Different maximum times.In a specific example, the corresponding maximum times of preset monitoring service of high priority can be with
It is 2, the corresponding maximum times of preset monitoring service of low priority can be 5, and the application is to this and is not specifically limited.
In the embodiment of another exemplary, when report and alarm, this abnormal key message can also be carried out total
Knot obtains this time abnormal problem description and is recorded in alarm record, and records current state are as follows: report and alarm and alarm
Do not restore.
In the embodiment of another exemplary, when the abnormal state of the preset monitoring service according to preliminary analysis knot
Fruit determines that abnormal cause is unknown cause, can be recorded with query warning, if having recorded the abnormal problem in alarm record, and works as
Preceding state is that report and alarm and alarm have not restored, then no longer carries out secondary analysis.Aforesaid operations, which are advantageous in that, avoids phase
Same alarm, which is repeated, to be reported.
In an exemplary embodiment, which is described and existing failure solution party is recorded in reset mode
It include: to be described the problem according to reset mode and reset mode is recorded in existing fault solution in case；Or root
The problem is described by problem classification according to problem description and reset mode is recorded in existing fault solution.
In an exemplary embodiment, determine whether abnormal cause is known reason packet according to Preliminary Analysis Results
It includes:
The Preliminary Analysis Results are compared with the abnormal problem in existing fault solution, if existing ask
It inscribes and there is abnormal problem identical with the Preliminary Analysis Results in solution, it is determined that the abnormal cause is known reason.
In the embodiment of another exemplary, which is described and existing failure solution party is recorded in reset mode
It can also be according to the time by newly to old journal problem description and its reset mode in case.The benefit operated in this way is each
When determining whether abnormal cause is known reason according to Preliminary Analysis Results, it can be compared according to the exception of newest generation,
Shorten comparison time as far as possible, abnormal influence is reduced to minimum.Certainly, the application can also be recorded using other modes
Problem description and its reset mode simultaneously compare problem description, and the application is to this and is not specifically limited.
In an exemplary embodiment, preset monitoring service includes the key service in monitoring management service.Example
Such as, preset monitoring service may include shinken, tomcat and cloud platform monitoring service imonitor-service.
Fig. 2 is the structural schematic diagram of the self-monitoring device of the embodiment of the present invention.Schematic diagram according to Fig.2, this implementation
The self-monitoring device of example, including memory 100 and processor 200.Wherein:
The memory 100 is used for self-monitoring program for storing.
The processor 200, it is described for self-monitoring program for reading execution, it performs the following operations:
The real-time status of preset monitoring service is obtained in the way of automatic regular polling；
When the abnormal state of the preset monitoring service, system log retrieve and preliminary analysis is extremely former
Cause；
Different abnormal restoring strategies is executed according to Preliminary Analysis Results.
It in an exemplary embodiment, can be according to preset monitoring service for the first timer of automatic regular polling
The characteristics of be arranged, be perhaps arranged according to the demand of user or according to the operating parameter of current cloud platform and combine user
Demand be arranged.Wherein, preset monitoring service can be one or more, and the first timer of automatic regular polling is also possible to
The time value of one or more, multiple timer settings can be different.The application is to the first timer for automatic regular polling
It is arranged and the number of preset monitoring service is not specifically limited.
In an exemplary embodiment, executing different abnormal restoring strategies according to Preliminary Analysis Results includes:
Determine whether abnormal cause is known reason according to Preliminary Analysis Results；
When the abnormal cause is known reason, abnormal restoring, record behaviour are executed according to existing fault solution
Make log；
When the abnormal cause is unknown cause, the corresponding database data of the preset monitoring service is inquired, it will
Daily record data for preliminary analysis carries out secondary analysis in conjunction with the database data inquired, is tasted according to secondary analysis result
Try the mode of abnormal restoring.
In an exemplary embodiment, processor 200, which is read, is used for self-monitoring program described in execution, can also hold
The following operation of row: when carrying out secondary analysis, can star the second timer for secondary analysis, if second timer is super
When, still without obtaining secondary analysis as a result, will then restart mode of the abnormal service as abnormal restoring, and record secondary analysis
Time-out.
In another exemplary embodiment, processor 200 read execute it is described be used for self-monitoring program, can be with
It performs the following operations:
After the mode for attempting abnormal restoring,
If the state of the preset monitoring service is restored, summarize this abnormal key message to obtain this
Abnormal problem description, which is described and reset mode is recorded in existing fault solution, and records operation
Log；
If the number for attempting reset mode is equal to preset maximum times, the state of the preset monitoring service is still different
Often, then report and alarm.
In an exemplary embodiment, preset maximum times can be 1.
In another exemplary embodiment, when preset monitoring service is multiple, different preset monitoring clothes
Corresponding preset maximum times of being engaged in can be different.
It in an exemplary embodiment, can be to preset monitoring service when preset monitoring service is multiple
It is classified.For example, can be divided into high, medium and low three priority, the preset monitoring service of different priority can be corresponded to
Different maximum times.In a specific example, the corresponding maximum times of preset monitoring service of high priority can be with
It is 2, the corresponding maximum times of preset monitoring service of low priority can be 5, and the application is to this and is not specifically limited.
In the embodiment of another exemplary, when report and alarm, this abnormal key message can also be carried out total
Knot obtains this time abnormal problem description and is recorded in alarm record, and records current state are as follows: report and alarm and alarm
Do not restore.
In the embodiment of another exemplary, when the abnormal state of the preset monitoring service according to preliminary analysis knot
Fruit determines that abnormal cause is unknown cause, can be recorded with query warning, if having recorded the abnormal problem in alarm record, and works as
Preceding state is that report and alarm and alarm have not restored, then no longer carries out secondary analysis.Aforesaid operations, which are advantageous in that, avoids phase
Same alarm, which is repeated, to be reported.
In an exemplary embodiment, which is described and existing failure solution party is recorded in reset mode
It include: to be described the problem according to reset mode and reset mode is recorded in existing fault solution in case；Or root
The problem is described by problem classification according to problem description and reset mode is recorded in existing fault solution.
In an exemplary embodiment, determine whether abnormal cause is known reason packet according to Preliminary Analysis Results
It includes:
The Preliminary Analysis Results are compared with the abnormal problem in existing fault solution, if existing ask
It inscribes and there is abnormal problem identical with the Preliminary Analysis Results in solution, it is determined that the abnormal cause is known reason.
In the embodiment of another exemplary, which is described and existing failure solution party is recorded in reset mode
It can also be according to the time by newly to old journal problem description and its reset mode in case.The benefit operated in this way is each
When determining whether abnormal cause is known reason according to Preliminary Analysis Results, it can be compared according to the exception of newest generation,
Shorten comparison time as far as possible, abnormal influence is reduced to minimum.Certainly, the application can also be recorded using other modes
Problem description and its reset mode simultaneously compare problem description, and the application is to this and is not specifically limited.
In an exemplary embodiment, preset monitoring service includes the key service in monitoring management service.Example
Such as, preset monitoring service may include shinken, tomcat and cloud platform monitoring service imonitor-service.
It is further described below with concrete application example is above-mentioned from monitoring method.
In this application example, the monitoring service in monitoring management module is carried out from prison with managing in platform cloud resource
It is illustrated for control to from monitoring method.
Step 1: presetting monitored monitoring service, and the preset monitoring service of automatic regular polling simultaneously obtains its real-time shape
State.Wherein, monitored preset monitoring service includes the crucial monitoring service in monitoring management module.
Step 2: determine whether the real-time status of the preset monitoring service obtained is normal；If normal, step is continued to execute
One；If abnormal, step 3 is executed.
Step 3: retrieve to system log and preliminary analysis abnormal cause.
Step 4: determine whether abnormal cause is known reason according to Preliminary Analysis Results；If known reason, according to
Some fault solutions execute abnormal restoring；If not known reason, inquires the data in database, will be used to tentatively divide
The daily record data of analysis carries out secondary analysis in conjunction with the database data inquired, attempts abnormal restoring according to secondary analysis result
Mode.
Step 5: determining whether the state of preset monitoring service is restored, if restoring, by this abnormal key message into
Row, which is summarized, obtains this time abnormal problem description, which is described and existing fault solution is recorded in reset mode
In, and record operation log；If the state of preset monitoring service is not restored, active reporting alarm.
Those of ordinary skill in the art will appreciate that all or part of the steps in the above method can be instructed by program
Related hardware is completed, and described program can store in computer readable storage medium, such as read-only memory, disk or CD
Deng.Optionally, one or more integrated circuits can be used also to realize in all or part of the steps of above-described embodiment.Accordingly
Ground, each module/unit in above-described embodiment can take the form of hardware realization, can also use the shape of software function module
Formula is realized.The application is not limited to the combination of the hardware and software of any particular form.
The above is only preferred embodiment of the present application, and certainly, the application can also have other various embodiments, without departing substantially from this
In the case where application spirit and its essence, those skilled in the art work as can make various corresponding changes according to the application
And deformation, but these corresponding changes and modifications all should belong to the protection scope of the application the attached claims.
Claims (10)
1. a kind of from monitoring method, comprising:
The real-time status of preset monitoring service is obtained in the way of automatic regular polling；
When the abnormal state of the preset monitoring service, retrieve simultaneously preliminary analysis abnormal cause to system log；
Different abnormal restoring strategies is executed according to Preliminary Analysis Results.
2. the method as described in claim 1, which is characterized in that described to execute different abnormal restorings according to Preliminary Analysis Results
Strategy includes:
Determine whether abnormal cause is known reason according to Preliminary Analysis Results；
When the abnormal cause is known reason, abnormal restoring, record operation day are executed according to existing fault solution
Will；
When the abnormal cause is unknown cause, the corresponding database data of the preset monitoring service is inquired, will be used for
The daily record data of preliminary analysis carries out secondary analysis in conjunction with the database data inquired, is attempted according to secondary analysis result different
The mode often restored.
3. method according to claim 2, which is characterized in that the mode for attempting abnormal restoring according to secondary analysis result
Later, the method also includes:
If the state of the preset monitoring service is restored, this abnormal key message is summarized to obtain this time abnormal
The problem of describe, which is described and reset mode is recorded in existing fault solution, and records operation log；
If the number for attempting reset mode is equal to preset maximum times, the state of the preset monitoring service is still abnormal,
Then report and alarm.
4. method according to claim 2, which is characterized in that it is described according to Preliminary Analysis Results determine abnormal cause whether be
Known reason includes:
The Preliminary Analysis Results are compared with the abnormal problem in existing fault solution, if existing solution
Certainly there is abnormal problem identical with the Preliminary Analysis Results in scheme, it is determined that the abnormal cause is known reason.
5. method according to any of claims 1-4, which is characterized in that the preset monitoring service includes monitoring management
Key service in service.
6. a kind of self-monitoring device, comprising: memory and processor；Wherein:
The memory is used for self-monitoring program for storing；
The processor, it is described for self-monitoring program for reading execution, it performs the following operations:
The real-time status of preset monitoring service is obtained in the way of automatic regular polling；
When the abnormal state of the preset monitoring service, retrieve simultaneously preliminary analysis abnormal cause to system log；
Different abnormal restoring strategies is executed according to Preliminary Analysis Results.
7. device as claimed in claim 6, which is characterized in that described to execute different abnormal restorings according to Preliminary Analysis Results
Strategy includes:
Determine whether abnormal cause is known reason according to Preliminary Analysis Results；
When the abnormal cause is known reason, abnormal restoring, record operation day are executed according to existing fault solution
Will；
When the abnormal cause is unknown cause, the corresponding database data of the preset monitoring service is inquired, will be used for
The daily record data of preliminary analysis carries out secondary analysis in conjunction with the database data inquired, is attempted according to secondary analysis result different
The mode often restored.
8. device as claimed in claim 7, which is characterized in that it is described for self-monitoring journey that the processor reads execution
Sequence also performs the following operations:
After the mode for attempting abnormal restoring according to secondary analysis result,
If the state of the preset monitoring service is restored, this abnormal key message is summarized to obtain this time abnormal
The problem of describe, which is described and reset mode is recorded in existing fault solution, and records operation log；
If the number for attempting reset mode is equal to preset maximum times, the state of the preset monitoring service is still abnormal,
Then report and alarm.
9. device as claimed in claim 7, which is characterized in that it is described according to Preliminary Analysis Results determine abnormal cause whether be
Known reason includes:
The Preliminary Analysis Results are compared with the abnormal problem in existing fault solution, if existing solution
Certainly there is abnormal problem identical with the Preliminary Analysis Results in scheme, it is determined that the abnormal cause is known reason.
10. device as claim in any one of claims 6-9, which is characterized in that the preset monitoring service includes monitoring pipe
Key service in reason service.
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| CN201811431534.4A CN109474470A (en) | 2018-11-27 | 2018-11-27 | One kind is from monitoring method and device |
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| CN201811431534.4A CN109474470A (en) | 2018-11-27 | 2018-11-27 | One kind is from monitoring method and device |
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| CN201811431534.4A Pending CN109474470A (en) | 2018-11-27 | 2018-11-27 | One kind is from monitoring method and device |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112152895A (en) * | 2020-09-02 | 2020-12-29 | 珠海格力电器股份有限公司 | Intelligent household equipment control method, device, equipment and computer readable medium |
| CN113448801A (en) * | 2021-06-15 | 2021-09-28 | 新浪网技术(中国)有限公司 | Database monitoring method and system |
| CN113514107A (en) * | 2021-07-20 | 2021-10-19 | 大唐互联科技(武汉)有限公司 | Expansion method and system based on equipment point inspection |
| CN114884930A (en) * | 2022-04-22 | 2022-08-09 | 广东悦伍纪网络技术有限公司 | Basic deployment service fault monitoring and processing method and system of cloud mobile phone |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101060436A (en) * | 2007-06-05 | 2007-10-24 | 杭州华三通信技术有限公司 | A fault analyzing method and device for communication equipment |
| US9665420B2 (en) * | 2015-07-31 | 2017-05-30 | Ca, Inc. | Causal engine and correlation engine based log analyzer |
| CN107181630A (en) * | 2017-07-24 | 2017-09-19 | 郑州云海信息技术有限公司 | The treating method and apparatus of service fault in cloud system |
| CN108776625A (en) * | 2018-06-26 | 2018-11-09 | 郑州云海信息技术有限公司 | A kind of restorative procedure of service fault, device and storage medium |
-
2018
- 2018-11-27 CN CN201811431534.4A patent/CN109474470A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101060436A (en) * | 2007-06-05 | 2007-10-24 | 杭州华三通信技术有限公司 | A fault analyzing method and device for communication equipment |
| US9665420B2 (en) * | 2015-07-31 | 2017-05-30 | Ca, Inc. | Causal engine and correlation engine based log analyzer |
| CN107181630A (en) * | 2017-07-24 | 2017-09-19 | 郑州云海信息技术有限公司 | The treating method and apparatus of service fault in cloud system |
| CN108776625A (en) * | 2018-06-26 | 2018-11-09 | 郑州云海信息技术有限公司 | A kind of restorative procedure of service fault, device and storage medium |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112152895A (en) * | 2020-09-02 | 2020-12-29 | 珠海格力电器股份有限公司 | Intelligent household equipment control method, device, equipment and computer readable medium |
| CN113448801A (en) * | 2021-06-15 | 2021-09-28 | 新浪网技术(中国)有限公司 | Database monitoring method and system |
| CN113514107A (en) * | 2021-07-20 | 2021-10-19 | 大唐互联科技(武汉)有限公司 | Expansion method and system based on equipment point inspection |
| CN113514107B (en) * | 2021-07-20 | 2023-07-28 | 大唐互联科技(武汉)有限公司 | Deployment method and system based on equipment point inspection |
| CN114884930A (en) * | 2022-04-22 | 2022-08-09 | 广东悦伍纪网络技术有限公司 | Basic deployment service fault monitoring and processing method and system of cloud mobile phone |
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Application publication date: 20190315 |