CN116506278A - Abnormal monitoring platform based on zabbix - Google Patents
Abnormal monitoring platform based on zabbix Download PDFInfo
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- CN116506278A CN116506278A CN202310467021.3A CN202310467021A CN116506278A CN 116506278 A CN116506278 A CN 116506278A CN 202310467021 A CN202310467021 A CN 202310467021A CN 116506278 A CN116506278 A CN 116506278A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 100
- 230000002159 abnormal effect Effects 0.000 title claims description 16
- 238000007726 management method Methods 0.000 claims abstract description 21
- 238000011084 recovery Methods 0.000 claims abstract description 19
- 238000012545 processing Methods 0.000 claims abstract description 17
- 238000004458 analytical method Methods 0.000 claims abstract description 10
- 238000013500 data storage Methods 0.000 claims abstract description 8
- 230000005856 abnormality Effects 0.000 claims abstract description 7
- 238000000034 method Methods 0.000 claims description 11
- 238000006243 chemical reaction Methods 0.000 claims description 7
- 238000004891 communication Methods 0.000 claims description 3
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Classifications
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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
- H04L41/0604—Management of faults, events, alarms or notifications using filtering, e.g. reduction of information by using priority, element types, position or time
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0604—Management of faults, events, alarms or notifications using filtering, e.g. reduction of information by using priority, element types, position or time
- H04L41/0622—Management of faults, events, alarms or notifications using filtering, e.g. reduction of information by using priority, element types, position or time based on time
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0654—Management of faults, events, alarms or notifications using network fault recovery
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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
- H04L41/069—Management of faults, events, alarms or notifications using logs of notifications; Post-processing of notifications
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Abstract
The invention relates to the field of monitoring platforms, in particular to a zabbix-based abnormality monitoring platform which comprises a monitoring management platform, a proxy server, a network server, an alarm module and a remote terminal, wherein the monitoring management platform is used for monitoring the abnormality of the abnormality monitoring platform; the proxy server is arranged in each network area; setting a trigger in the network server for triggering warning and automatic recovery; the monitoring management platform comprises a data storage module, a template configuration module, a rule configuration module and an alarm module; the rule configuration module is used for configuring a discovery rule, discovering equipment and associating with the monitoring template; the data storage module is used for storing data and analyzing and processing the data to obtain a fault pre-judging index A; an alarm threshold range Y and a pre-judging threshold range Y' are set in the alarm module. The invention can realize fault pre-judgment, has simple algorithm, high execution efficiency and high pre-judgment precision. And the alarm analysis can be realized, the system is convenient to maintain at irregular periods, and good running conditions are maintained.
Description
Technical Field
The invention relates to the technical field of monitoring platforms, in particular to an abnormality monitoring platform based on zabbix.
Background
zabbix is an enterprise-level open source solution based on WEB interfaces that provides distributed system monitoring and network monitoring functionality. zabbix can monitor various network parameters and ensure the safe operation of a server system; and provides a flexible notification mechanism to allow system administrators to quickly locate and resolve various problems that exist.
China patent with the authority of publication number CN114844772A discloses a management method and system based on a Zabbix monitoring platform. Comprising the following steps: the Zabbix monitoring platform is connected with the monitoring management platform through an API interface, and further comprises: outputting the query command in a state that the monitoring management platform acquires the query command, and acquiring at least one query command matched with the query command according to the query command; in the state that the Zabbix monitoring platform acquires the query instruction, the Zabbix monitoring platform acquires query data matched with the query instruction from a Zabbix client according to the query instruction, and returns the query data to the monitoring management platform.
However, the above disclosed solution has the following disadvantages: although the alarm equipment and the alarm reason can be inquired through instructions, but failure pre-judgment cannot be realized, positioning and processing of the monitored object are difficult before the monitored object fails, at present, some data processing is performed through a deep learning model to realize failure pre-judgment, but the algorithm is complex, the equipment input cost is high, and judgment is performed in a mode of setting a datum line and a threshold value, but the accuracy of the judgment mode is low.
Disclosure of Invention
The invention aims to provide an abnormality monitoring platform based on zabbix, aiming at the problem that high-precision fault pre-judgment cannot be realized through a simple algorithm in the background technology.
In one aspect, the invention provides an anomaly monitoring platform based on zabbix, which comprises a monitoring management platform, a proxy server, a network server and a remote terminal;
the proxy server is arranged in each network area, scans monitoring objects in the network segments, collects monitoring data of the monitoring objects in the current area and then transmits the monitoring data to the network server; the network server carries out subsequent processing on the data, and a trigger is arranged in the network server for triggering warning and automatic recovery;
the monitoring management platform provides an operation platform and comprises a data storage module, a template configuration module, a rule configuration module and an alarm module; the template configuration module is used for configuring a monitoring template; the rule configuration module is used for configuring a discovery rule, discovering equipment and associating with the monitoring template;
the data storage module is used for storing data and analyzing and processing the data to obtain a failure pre-judging index A,wherein P is the current collected data, M is the average value of the historical data H,H k abnormal data representing history, standard deviation
An alarm threshold range Y and a pre-judgment threshold range Y' are set in the alarm module;
the remote terminal is used for receiving alarm information and fault early warning information and is in wireless communication connection with the monitoring management platform to realize remote control.
Preferably, the automatic recovery mode includes closing the notification, sending a recovery notification, and recovering the data after it is normal.
Preferably, the current collected data P alarms when being located outside the alarm threshold range Y, alarm information is output, early warning is carried out when the fault pre-judging index A is located outside the pre-judging threshold range Y', and fault early warning information is output.
Preferably, an alarm analysis unit is arranged in the alarm module, and the alarm analysis unit is used for analyzing alarm information, and when the alarm information is analyzed, the definition parameters are as follows: the running condition index B, the average validation time Q, the average recovery time R, the average fault interval time G,wherein Q= (t) 1 +t 2 +...+t n )/n，t n Representing the time interval in seconds between the generation of the alarm and the confirmation of the alarm, r= (d) 1 +d 2 +...+d n )/n，d n The time interval for the system to recover from the fault state is represented by seconds, g=t/N, T represents the total time of the normal operation of the system, N represents the number of faults of the system, and the larger the value of the running condition index B is, the better the stability and reliability of the system are.
Preferably, a down-conversion processing unit is arranged in the alarm module and is used for configuring down-conversion processing of alarms, namely, the alarms of the same monitoring object which are repeatedly triggered are combined in a set time.
Preferably, the network segment scanning of the proxy server comprises the following steps: s11, installing nmap software on a proxy server; s12, creating a new equipment type in the management interface, and selecting network equipment by the type; s13, when a new device is created, an IP address is designated for the new device, and an IP address range to be scanned is input; s14, adding a new item into the monitoring item, selecting an external inspection for types, and setting a command to replace equipment IP within the IP range with the IP address designated in S3; and S15, saving and applying modification, refreshing newly created equipment in a monitoring interface, and displaying a scanned equipment list in a specified IP address range when viewing the monitoring item.
Preferably, a grouping module is arranged in the monitoring management platform, and the grouping module is used for adding the monitoring object into a failed group and corresponds to the operation and maintenance personnel.
On the other hand, the invention provides a zabbix-based monitoring method for an abnormality monitoring platform, which comprises the following steps:
s21, setting a proxy server in each network area, scanning monitoring objects in the network segments, and automatically associating the monitoring objects with the templates through set rules;
s22, collecting monitoring data of a monitoring object in the current area and transmitting the monitoring data to a network server;
s23, the network server processes and analyzes the data to obtain a fault prediction index, the abnormal data can enable the trigger to enter an alarm action, and the data with abnormal trend can trigger a triggering condition of a pre-judging threshold value;
s24, sending alarm information and fault early warning information to a remote terminal;
s25, the alarm information and the fault early warning information are processed through the remote terminal.
Compared with the prior art, the invention has the following beneficial technical effects: the fault pre-judging condition of the currently acquired data can be obtained by setting a fault pre-judging index calculation formula and combining the historical average value and the historical standard deviation, the condition of the data can be intuitively judged by the numerical value of the fault pre-judging index, the fault pre-judging is realized, the algorithm is simple, the execution efficiency is high, the historical abnormal value is removed in the calculation process, and the pre-judging precision is high. And the trigger condition and the recovery condition are set through the trigger, so that automatic recovery can be completed, and stable operation of the system is ensured. In addition, alarm analysis can be realized, particularly, alarm information is analyzed by setting an operation condition index, numerical calculation is carried out according to a formula, and numerical reference is conveniently provided for the stability and reliability of system operation, so that the system is maintained at an irregular period, and good operation condition is maintained.
Drawings
FIG. 1 is a schematic diagram of an embodiment of the present invention;
FIG. 2 is a network segment scanning flow diagram of a proxy server;
FIG. 3 is a flow chart of a monitoring method;
fig. 4 is a schematic diagram of a proxy server automatically associating a monitored object.
Detailed Description
Example 1
As shown in FIG. 1, the zabbix-based anomaly monitoring platform provided by the invention comprises a monitoring management platform, a proxy server, a network server and a remote terminal;
the proxy server is arranged in each network area, scans monitoring objects in the network segments, collects monitoring data of the monitoring objects in the current area and then transmits the monitoring data to the network server; the network server carries out subsequent processing on the data, a trigger is arranged in the network server for triggering warning and automatic recovery, and the automatic recovery mode comprises closing notification, sending recovery notification and recovering after the data is normal;
the monitoring management platform provides an operation platform and comprises a data storage module, a template configuration module, a rule configuration module, a grouping module and an alarm module; the template configuration module is used for configuring a monitoring template; the rule configuration module is used for configuring a discovery rule, discovering equipment and associating with the monitoring template; the grouping module is used for adding the monitoring object into the failed group and corresponding to the operation and maintenance personnel;
the data storage module is used for storing data and analyzing and processing the data to obtain a failure pre-judging index A,wherein P is the current collected data, M is the average value of the historical data H,H k abnormal data representing history, standard deviation
An alarm threshold range Y and a pre-judgment threshold range Y 'are arranged in the alarm module, the current collected data P alarms when being outside the alarm threshold range Y, alarm information is output, early warning is carried out when a fault pre-judgment index A is outside the pre-judgment threshold range Y', and fault early warning information is output;
the remote terminal is used for receiving alarm information and fault early warning information and is in wireless communication connection with the monitoring management platform to realize remote control.
Working principle: a proxy server is arranged in each network area, monitoring objects in network segments are scanned and automatically associated with templates through set rules, monitoring data of the monitoring objects in the current area are collected and transmitted to the network server, the network server processes and analyzes the data to obtain a fault prediction index, the abnormal data enable a trigger to enter an alarm action, and data with abnormal trend trigger a trigger condition of a pre-judging threshold. And then sending alarm information and fault early warning information to the remote terminal, and processing the alarm information and the fault early warning information by related personnel through the remote terminal and taking necessary measures on a monitored object in time.
In the embodiment, the fault pre-judging condition of the currently acquired data can be obtained by setting a fault pre-judging index calculation formula and combining a historical average value and a historical standard deviation, the condition of the data can be intuitively judged by the numerical value of the fault pre-judging index, the fault pre-judging is realized, the algorithm is simple, the execution efficiency is high, the historical abnormal constant value is removed in the calculation process, and the pre-judging precision is high. And the trigger condition and the recovery condition are set through the trigger, so that automatic recovery can be completed, and stable operation of the system is ensured.
Example two
As shown in fig. 1, in the zabbix-based anomaly monitoring platform provided by the present invention, compared with the first embodiment, an alarm analysis unit is disposed in the alarm module, and the alarm analysis unit is configured to analyze alarm information, and define parameters when analyzing the alarm information are as follows: the running condition index B, the average validation time Q, the average recovery time R, the average fault interval time G,wherein Q= (t) 1 +t 2 +...+t n )/n，t n Representing the time interval in seconds between the generation of the alarm and the confirmation of the alarm, r= (d) 1 +d 2 +...+d n )/n，d n The time interval for the system to recover from the fault state is represented by seconds, g=t/N, T represents the total time of the normal operation of the system, N represents the number of faults of the system, and the larger the value of the running condition index B is, the better the stability and reliability of the system are.
The alarm module is internally provided with a down-conversion processing unit which is used for configuring down-conversion processing of alarms, namely, the alarms of the same monitoring object which are repeatedly triggered are combined in a set time.
The embodiment can realize alarm analysis, particularly analyzes alarm information by setting an operation condition index, carries out numerical calculation according to a formula, and is convenient for providing numerical reference for the stability and reliability of system operation, thereby maintaining the system at an irregular period and keeping good operation condition. The same alarm in a short time can be combined and sent through the set down-conversion processing, so that repeated sending of the same alarm information is avoided, and the workload of alarm information processing is increased.
Example III
As shown in fig. 2 and fig. 4, compared with the first embodiment, the network segment scanning of the proxy server according to the present invention includes the following steps: s11, installing nmap software on a proxy server; s12, creating a new equipment type in the management interface, and selecting network equipment by the type;
s13, when a new device is created, an IP address is designated for the new device, and an IP address range to be scanned is input; s14, adding a new item into the monitoring item, selecting an external inspection for types, and setting a command to replace equipment IP within the IP range with the IP address designated in S3; and S15, saving and applying modification, refreshing newly created equipment in a monitoring interface, and displaying a scanned equipment list in a specified IP address range when viewing the monitoring item. The network segment scanning is the prior art, and the working principle is not repeated here.
Example IV
As shown in fig. 3, the monitoring method based on the embodiment of the anomaly monitoring platform based on zabbix includes the following steps:
s21, setting a proxy server in each network area, scanning monitoring objects in the network segments, and automatically associating the monitoring objects with the templates through set rules;
s22, collecting monitoring data of a monitoring object in the current area and transmitting the monitoring data to a network server;
s23, the network server processes and analyzes the data to obtain a fault prediction index, the abnormal data can enable the trigger to enter an alarm action, and the data with abnormal trend can trigger a triggering condition of a pre-judging threshold value;
s24, sending alarm information and fault early warning information to a remote terminal;
s25, the alarm information and the fault early warning information are processed through the remote terminal.
In the embodiment, the fault pre-judging condition of the currently acquired data can be obtained by setting a fault pre-judging index calculation formula and combining a historical average value and a historical standard deviation, the condition of the data can be intuitively judged by the numerical value of the fault pre-judging index, the fault pre-judging is realized, the algorithm is simple, the execution efficiency is high, the historical abnormal constant value is removed in the calculation process, and the pre-judging precision is high. And the trigger condition and the recovery condition are set through the trigger, so that automatic recovery can be completed, and stable operation of the system is ensured. In addition, alarm analysis can be realized, particularly, alarm information is analyzed by setting an operation condition index, numerical calculation is carried out according to a formula, and numerical reference is conveniently provided for the stability and reliability of system operation, so that the system is maintained at an irregular period, and good operation condition is maintained.
The embodiments of the present invention have been described in detail with reference to the drawings, but the present invention is not limited thereto, and various changes can be made within the knowledge of those skilled in the art without departing from the spirit of the present invention.
Claims (8)
1. The abnormality monitoring platform based on zabbix is characterized by comprising a monitoring management platform, a proxy server, a network server and a remote terminal;
the proxy server is arranged in each network area, scans monitoring objects in the network segments, collects monitoring data of the monitoring objects in the current area and then transmits the monitoring data to the network server; the network server carries out subsequent processing on the data, and a trigger is arranged in the network server for triggering warning and automatic recovery;
the monitoring management platform provides an operation platform and comprises a data storage module, a template configuration module, a rule configuration module and an alarm module; the template configuration module is used for configuring a monitoring template; the rule configuration module is used for configuring a discovery rule, discovering equipment and associating with the monitoring template;
the data storage module is used for storing data and analyzing and processing the data to obtain a failure pre-judging index A,wherein P is the current collected data, M is the average value of the historical data H,H k abnormal data representing history, standard deviation
An alarm threshold range Y and a pre-judgment threshold range Y' are set in the alarm module;
the remote terminal is used for receiving alarm information and fault early warning information and is in wireless communication connection with the monitoring management platform to realize remote control.
2. The zabbix-based anomaly monitoring platform of claim 1, wherein the automatic recovery means comprises shutting down a notification, sending a recovery notification, and recovering after the data is normal.
3. The zabbix-based anomaly monitoring platform according to claim 1, wherein the currently acquired data P is alarmed when the data P is outside an alarm threshold range Y, alarm information is output, early warning is performed when a failure pre-judgment index a is outside a pre-judgment threshold range Y', and failure early warning information is output.
4. The zabbix-based anomaly monitoring platform according to claim 1, wherein an alarm analysis unit is disposed in the alarm module, and the alarm analysis unit is configured to analyze alarm information, and define parameters when analyzing the alarm information as follows: the running condition index B, the average validation time Q, the average recovery time R, the average fault interval time G,wherein Q= (t) 1 +t 2 +...+t n )/n，t n Representing the time interval in seconds between the generation of the alarm and the confirmation of the alarm, r= (d) 1 +d 2 +...+d n )/n，d n The time interval for the system to recover from the fault state is represented by seconds, g=tn, T is represented by the sum of the time for the system to operate normally, N is represented by seconds, N is the number of faults of the system, and the larger the value of the running condition index B is, the better the stability and reliability of the system are.
5. The zabbix-based anomaly monitoring platform according to claim 1, wherein a down-conversion processing unit is disposed in the alarm module, and is configured to configure down-conversion processing of alarms, that is, merge alarms of the same monitoring object triggered repeatedly in a set time.
6. The zabbix-based anomaly monitoring platform of claim 1, wherein the network segment scan of the proxy server comprises the steps of: s11, installing nmap software on a proxy server; s12, creating a new equipment type in the management interface, and selecting network equipment by the type; s13, when a new device is created, an IP address is designated for the new device, and an IP address range to be scanned is input; s14, adding a new item into the monitoring item, selecting an external inspection for types, and setting a command to replace equipment IP within the IP range with the IP address designated in S3; and S15, saving and applying modification, refreshing newly created equipment in a monitoring interface, and displaying a scanned equipment list in a specified IP address range when viewing the monitoring item.
7. The zabbix-based anomaly monitoring platform according to claim 1, wherein a grouping module is disposed in the monitoring management platform, and the grouping module is configured to add the monitored objects to the failed group and correspond to the operation staff.
8. A zabbix-based anomaly monitoring platform monitoring method according to claim 1, comprising the steps of:
s21, setting a proxy server in each network area, scanning monitoring objects in the network segments, and automatically associating the monitoring objects with the templates through set rules;
s22, collecting monitoring data of a monitoring object in the current area and transmitting the monitoring data to a network server;
s23, the network server processes and analyzes the data to obtain a fault prediction index, the abnormal data can enable the trigger to enter an alarm action, and the data with abnormal trend can trigger a triggering condition of a pre-judging threshold value;
s24, sending alarm information and fault early warning information to a remote terminal;
s25, the alarm information and the fault early warning information are processed through the remote terminal.
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| CN202310467021.3A CN116506278A (en) | 2023-04-27 | 2023-04-27 | Abnormal monitoring platform based on zabbix |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117367485A (en) * | 2023-12-08 | 2024-01-09 | 成都壹为新能源汽车有限公司 | Switch type sensor fault detection system and method for new energy sanitation truck loading system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117367485A (en) * | 2023-12-08 | 2024-01-09 | 成都壹为新能源汽车有限公司 | Switch type sensor fault detection system and method for new energy sanitation truck loading system |
| CN117367485B (en) * | 2023-12-08 | 2024-02-13 | 成都壹为新能源汽车有限公司 | Switch type sensor fault detection system and method for new energy sanitation truck loading system |
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