WO2020211698A1 - Procédé de surveillance d'appareil intelligent utilisant un système, un dispositif et un appareil de surveillance de centre de données - Google Patents

Procédé de surveillance d'appareil intelligent utilisant un système, un dispositif et un appareil de surveillance de centre de données Download PDF

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Publication number
WO2020211698A1
WO2020211698A1 PCT/CN2020/084139 CN2020084139W WO2020211698A1 WO 2020211698 A1 WO2020211698 A1 WO 2020211698A1 CN 2020084139 W CN2020084139 W CN 2020084139W WO 2020211698 A1 WO2020211698 A1 WO 2020211698A1
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WIPO (PCT)
Prior art keywords
monitoring
value
abnormal
range
alarm
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PCT/CN2020/084139
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English (en)
Chinese (zh)
Inventor
吴冠琳
何嘉鑫
许永贤
马桂旭
林汉伟
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厦门科灿信息技术有限公司
科华恒盛股份有限公司
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Publication of WO2020211698A1 publication Critical patent/WO2020211698A1/fr

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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
    • 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
    • H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • 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
    • H04L43/50—Testing arrangements

Definitions

  • the invention relates to the field of monitoring, in particular to a method, device and equipment for monitoring intelligent equipment based on a data center monitoring system.
  • the Internet is prospering, and the demand for network data centers is increasing rapidly.
  • the types and numbers of equipment in them are increasing, and at the same time they are becoming more intelligent.
  • the maintenance of data centers has become a major problem, and the data center monitoring system can be solved well Maintenance problems.
  • One function of the data center monitoring system is to read data from smart devices that support these protocols through certain protocols, and then display and analyze them.
  • the abnormal alarms in the current data center monitoring system are automatically uploaded by the monitored smart devices, and the types of abnormalities that these smart devices can report and discover are often very limited.
  • the alarm threshold is fixed, and the alarm content is relatively fixed and single, not flexible and specific enough.
  • the smart device frequently switches back and forth between alarming and canceling the alarm, causing repeated alarms.
  • the purpose of the present invention is to provide an intelligent equipment monitoring method, device and equipment based on a data center monitoring system, to solve the traditional data center monitoring system relying on the alarm information uploaded by the intelligent equipment to improve, the alarm content is fixed and single, and Problems that cause repeated alarms.
  • the present invention provides a smart device monitoring method based on a data center monitoring system, including:
  • monitoring data of the smart device including monitoring items and monitoring values
  • alarm status is an implementation alarm, then alarm information is generated, otherwise no alarm information is generated.
  • the abnormal range includes a plurality of sub-abnormal ranges, each of the sub-abnormal ranges corresponds to different levels of alarm information, wherein the number of the sub-abnormal ranges is obtained through dynamic adjustment.
  • the abnormal scope includes the following four sub-abnormal scopes:
  • the first sub-abnormal range higher than the high limit hhi, the second sub-abnormal range lower than the high limit hhi and higher than the limit hi, and the third sub-abnormal range lower than the limit low and higher than the low limit llow The abnormal range, and the fourth sub-abnormal range lower than the low limit value llow, where low ⁇ low ⁇ hi ⁇ hhi.
  • the high limit hhi, the limit hi, the limit low, and the low limit llow are all obtained through dynamic adjustment.
  • the hysteresis value includes:
  • said acquiring the monitoring data of the smart device includes:
  • the numerical fluctuation range is determined in advance according to the abnormal range and the hysteresis value, it further includes:
  • the present invention also provides an intelligent equipment monitoring device based on the data center monitoring system, including:
  • Monitoring data acquisition module used to acquire monitoring data of smart devices, the monitoring data including monitoring items and monitoring values;
  • Numerical fluctuation range determination module used to determine the numerical fluctuation range according to the abnormal range and hysteresis value in advance;
  • Monitoring value determination module used to determine whether the monitoring value is within the fluctuation range of the value
  • Alarm status acquisition module if the monitoring value is within the fluctuation range of the value, obtain the alarm status of the monitoring item at the previous moment;
  • Alarm module used to generate alarm information if the alarm state is an implementation alarm, otherwise no alarm information is generated.
  • the monitoring data obtaining module is specifically used to obtain the monitoring data of the smart device through any one of the serial port protocol, the tcp Modbus protocol, and the snmp protocol.
  • the present invention also provides a smart device monitoring device based on a data center monitoring system, including:
  • Memory used to store computer programs
  • Processor used to execute the computer program to implement the steps of a smart device monitoring method based on a data center monitoring system as described above.
  • the smart device monitoring method based on the data center monitoring system provided by the present invention can determine the value fluctuation range according to the abnormal range and hysteresis value in advance, and obtain the monitoring data of the smart device.
  • the monitoring data includes monitoring items and monitoring values, and then Determine whether the monitored value is within the numerical fluctuation range. If it is, then obtain the alarm status of the monitored item at the previous moment. If the alarm status is an implementation alarm, then generate alarm information; otherwise, no alarm information is generated. It can be seen that this method does not rely on the judgment of the smart device itself, but obtains the monitoring data on the smart device, and judges whether or not to raise an alarm based on this.
  • this method can set and adjust the abnormal range by itself, with high flexibility and setting
  • the hysteresis value determines the data fluctuation range based on the hysteresis value and the abnormal range.
  • the present invention also provides an intelligent equipment monitoring device and equipment based on the data center monitoring system, the function of which corresponds to the function of the above method, and will not be repeated here.
  • Fig. 1 is an implementation flowchart of an embodiment of a smart device monitoring method based on a data center monitoring system provided by the present invention
  • FIG. 2 is a schematic diagram of an abnormal range of an embodiment of a smart device monitoring method based on a data center monitoring system provided by the present invention
  • FIG. 3 is a schematic diagram of the data fluctuation range of an embodiment of a smart device monitoring method based on a data center monitoring system provided by the present invention
  • FIG. 4 is a schematic diagram of a user interface of an embodiment of a smart device monitoring method based on a data center monitoring system provided by the present invention
  • Fig. 5 is a structural block diagram of an embodiment of a smart device monitoring device based on a data center monitoring system provided by the present invention.
  • the core of the present invention is to provide an intelligent equipment monitoring method, device and equipment based on a data center monitoring system, which avoids relying on the judgment of intelligent equipment, can set the adjustment abnormal range, has high flexibility, and is effective by setting the hysteresis value. Avoid repeated alarms.
  • the solution mentioned in the present invention is mainly applied to a software system for monitoring the power environment of a data center.
  • the data center dynamic environment monitoring system realizes one-stop data collection, analysis, statistics, display, remote control of equipment and abnormal alarms of the data center, and aims to make the operation and maintenance of the data center simpler, smarter, accurate, comprehensive and efficient.
  • the discovery and alarm of the abnormal operation data of the smart device is a very important and helpful function for operation and maintenance.
  • the current data abnormal alarm judgment and discovery mechanism has great defects.
  • the present invention proposes a method for monitoring smart equipment based on a data center monitoring system.
  • this embodiment specifically includes:
  • Step S101 Obtain monitoring data of the smart device, where the monitoring data includes monitoring items and monitoring values.
  • the data center monitoring system in this embodiment can communicate with smart devices of multiple protocols, specifically, through serial port protocol, tcp Modbus protocol, and snmp protocol. Any protocol can obtain monitoring data of smart devices.
  • Step S102 Determine the numerical fluctuation range according to the abnormal range and the hysteresis value in advance.
  • the abnormal range in this embodiment refers to a reference range used to determine whether the data is abnormal.
  • the above abnormal range can be more than one. That is to say, the abnormal range can be divided into multiple sub-abnormal ranges, and each sub-abnormal range corresponds to Different levels of alarm information. It should be noted that the number of the above-mentioned sub-abnormal ranges can be dynamically adjusted, and each sub-abnormal range can also be customized.
  • each monitoring item for smart devices, and the abnormal range for evaluating whether the monitoring value of each monitoring item is abnormal may obviously be different. According to the different monitoring items, according to the accuracy required by the monitoring items, each monitoring item The number of sub-anomaly ranges can also be set in a targeted manner.
  • the hysteresis value is also mentioned in step S102.
  • the hysteresis value is a value proposed by the present invention for the hysteresis phenomenon.
  • the so-called hysteresis phenomenon refers to the phenomenon that data fluctuates back and forth within a range. For example, some data parameters related to electrical characteristics, such as current, objectively have hysteresis.
  • the pure edge threshold cannot filter out the misjudgment caused by the hysteresis, and may cause repeated alarms when the data fluctuates. Therefore, the present embodiment proposes the hysteresis value to solve the problem of repeated alarms caused by data fluctuations around the above-mentioned edge threshold.
  • the so-called numerical fluctuation range refers to a neutral range determined according to the abnormal range and hysteresis value. For monitoring items whose monitored values fall within this range, this embodiment determines the monitoring item based on the alarm state of the monitoring item at the previous moment. Whether to warn.
  • Step S103 Determine whether the monitored value is within the fluctuation range of the value.
  • Step S104 If the monitored value is within the fluctuation range of the value, obtain the alarm status of the monitored item at the previous moment.
  • Step S105 If the alarm state is an implementation alarm, then generate alarm information, otherwise, no alarm information is generated.
  • Step S102 is described in more detail below:
  • the abnormal range may include multiple sub-abnormal ranges.
  • the abnormal range includes the following four sub-abnormal ranges:
  • the first sub-abnormal range higher than the high limit hhi, the second sub-abnormal range lower than the high limit hhi and higher than the limit hi, and the third sub-abnormal range lower than the limit low and higher than the low limit llow The abnormal range, and the fourth sub-abnormal range lower than the low limit value llow, where low ⁇ low ⁇ hi ⁇ hhi.
  • each sub-anomaly range corresponds to one or two edge thresholds.
  • each edge threshold can also be customized. That is, the high limit hhi, the limit hi, the limit low, and the low limit llow can all be dynamically adjusted.
  • hysteresis value for each of the aforementioned edge thresholds, a hysteresis value can be set.
  • the hysteresis value may include:
  • Table 1 is the alarm status of the monitoring items of the monitoring value falling within each range in this embodiment.
  • this embodiment provides that the configuration error is found through calculation during configuration and the user is prompted to modify, which overcomes the difficulty of manual judgment, which also makes the entire monitoring system more accurate and reliable. It can be divided into the following two steps:
  • Step 1 Determine whether the abnormal range and the hysteresis value are set reasonably.
  • Step 2 If it is unreasonable, prompt the user to reset the abnormal range and/or the hysteresis value.
  • the above-mentioned edge threshold and hysteresis value can be configured respectively through the graphical user interface of the data center monitoring system.
  • a specific formula algorithm is used to determine whether the hysteresis value and the configuration of each alarm threshold are reasonable or not.
  • the specific judgment logic can be as follows: llow+band4 ⁇ low, low+band3 ⁇ hi, low ⁇ hi -band2, hi ⁇ hhi-band1.
  • edge threshold and hysteresis value can be configured, such as alarm delay, number of alarms, and so on.
  • the smart device monitoring method based on the data center monitoring system does not rely on the judgment of the smart device itself, and is more flexible than simply obtaining the alarm amount from the smart device itself.
  • the hysteresis value is taken into account when determining whether to alarm. When the monitored value falls within the fluctuation range, the alarm state at the previous moment is maintained, which greatly reduces the false positive rate and overcomes The problem of repeated warnings.
  • the following describes an embodiment of a smart device monitoring device based on a data center monitoring system provided by an embodiment of the present invention.
  • the smart device monitoring device based on a data center monitoring system described below is the same as the above-described one based on data center monitoring.
  • the smart device monitoring methods of the system can be referred to each other.
  • the device embodiment specifically includes:
  • Monitoring data acquisition module 501 used to acquire monitoring data of smart devices, where the monitoring data includes monitoring items and monitoring values.
  • Numerical fluctuation range determination module 502 used to determine the numerical fluctuation range according to the abnormal range and the hysteresis value in advance.
  • Monitoring value judgment module 503 used to determine whether the monitored value is within the numerical fluctuation range.
  • the alarm state acquisition module 504 is configured to obtain the alarm state of the monitoring item at the previous moment if the monitored value is within the numerical fluctuation range.
  • Alarm module 505 used to generate alarm information if the alarm state is an implementation alarm, otherwise no alarm information is generated.
  • the monitoring data obtaining module 501 is specifically configured to obtain monitoring data of the smart device through any one of a serial port protocol, a tcp Modbus protocol, and a snmp protocol.
  • the smart device monitoring device based on the data center monitoring system of this embodiment is used to implement the aforementioned smart device monitoring method based on the data center monitoring system. Therefore, the specific implementation of the device can be seen in the previous one based on data
  • the embodiment part of the smart device monitoring method of the central monitoring system for example, the monitoring data acquisition module 501, the value fluctuation range determination module 502, the monitoring value judgment module 503, the alarm state acquisition module 504, and the alarm module 505 are respectively used to implement the above-mentioned one. Steps S101, S102, S103, S104, S105 in a smart device monitoring method based on a data center monitoring system. Therefore, for the specific implementation manners, reference may be made to the description of the respective parts of the embodiments, and the introduction is not repeated here.
  • the smart device monitoring device based on the data center monitoring system of this embodiment is used to implement the foregoing smart device monitoring method based on the data center monitoring system, its function corresponds to the function of the above method, and it is not here. Repeat it again.
  • the present invention also provides a smart device monitoring device based on a data center monitoring system, including:
  • Memory used to store computer programs
  • Processor used to execute the computer program to implement the steps of a smart device monitoring method based on a data center monitoring system as described above.
  • the smart device monitoring device based on the data center monitoring system provided by the present invention is used to implement the aforementioned smart device monitoring method based on the data center monitoring system. Therefore, for its specific implementation, the present invention will not be introduced here. Obviously The function of this device corresponds to the above method, so I won’t repeat it here.
  • the steps of the method or algorithm described in the embodiments disclosed in this document can be directly implemented by hardware, a software module executed by a processor, or a combination of the two.
  • the software module can be placed in random access memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disks, removable disks, CD-ROMs, or all areas in the technical field. Any other known storage medium.

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  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Environmental & Geological Engineering (AREA)
  • Alarm Systems (AREA)

Abstract

L'invention concerne un procédé de surveillance d'appareil intelligent utilisant un système de surveillance de centre de données. Le procédé est capable de déterminer une plage de fluctuation numérique en fonction d'une plage anormale et d'une valeur d'hystérésis, d'acquérir des données de surveillance d'un appareil intelligent, de déterminer si une valeur de surveillance se trouve à l'intérieur de la plage de fluctuation numérique, et si tel est le cas, de maintenir l'état d'alarme d'un élément de surveillance au niveau de l'état d'alarme de l'instant précédent. Ainsi, le procédé ne repose pas sur une décision de l'appareil intelligent lui-même, mais détermine à la place s'il faut générer une alarme en fonction des données de surveillance acquises à partir de l'appareil intelligent. De plus, le procédé permet une configuration personnalisée de la plage anormale pour fournir une plus grande flexibilité, et comme une valeur d'hystérésis est également configurée, le procédé peut déterminer une plage de fluctuation de données en fonction de la valeur d'hystérésis et de la plage anormale, et maintient l'état d'alarme de l'instant précédent si une valeur de surveillance numérique tombe dans la plage de fluctuation, empêchant ainsi des alarmes répétées provoquées par la valeur de surveillance numérique fluctuante au-dessus et au-dessous d'un bord de la plage anormale. L'invention concerne en outre un dispositif et un appareil de surveillance d'appareil intelligent utilisant un système de surveillance de centre de données, qui sont utilisés de manière correspondante avec le procédé.
PCT/CN2020/084139 2019-04-15 2020-04-10 Procédé de surveillance d'appareil intelligent utilisant un système, un dispositif et un appareil de surveillance de centre de données WO2020211698A1 (fr)

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