WO2020211698A1

WO2020211698A1 - Smart apparatus monitoring method employing data center monitoring system, device, and apparatus

Info

Publication number: WO2020211698A1
Application number: PCT/CN2020/084139
Authority: WO
Inventors: 吴冠琳; 何嘉鑫; 许永贤; 马桂旭; 林汉伟
Original assignee: 厦门科灿信息技术有限公司; 科华恒盛股份有限公司
Priority date: 2019-04-15
Filing date: 2020-04-10
Publication date: 2020-10-22
Also published as: CN110191011A

Abstract

A smart apparatus monitoring method employing a data center monitoring system. The method is capable of determining a numerical fluctuation range according to an abnormal range and a hysteresis value, acquiring monitoring data of a smart apparatus, determining whether a monitoring value is within the numerical fluctuation range, and if so, maintaining the alarm state of a monitoring item at the alarm state of the previous instant. Thus, the method does not rely on a decision of the smart apparatus itself but instead determines whether to generate an alarm according to the monitoring data acquired from the smart apparatus. In addition, the method enables customized configuration of the abnormal range to provide more flexibility, and as a hysteresis value is also configured, the method can determine a data fluctuation range according to the hysteresis value and the abnormal range, and maintains the alarm state of the previous instant if a numerical monitoring value falls within the fluctuation range, thereby preventing repeated alarms caused by the numerical monitoring value fluctuating above and below an edge of the abnormal range. Further provided are a smart apparatus monitoring device and apparatus employing a data center monitoring system, which are used correspondingly with the method.

Description

Intelligent equipment monitoring method, device and equipment based on data center monitoring system

This application claims the priority of a Chinese patent application filed with the Chinese Patent Office on April 15, 2019, the application number is 201910299501.7, and the invention title is "Smart Device Monitoring Method, Apparatus and Equipment Based on Data Center Monitoring System", and its entire contents Incorporated in this application by reference.

Technical field

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.

Background technique

At present, 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.

However, 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. Many data of the smart devices themselves, such as voltage The alarm threshold is fixed, and the alarm content is relatively fixed and single, not flexible and specific enough. In addition, when the data fluctuates around the threshold, the smart device frequently switches back and forth between alarming and canceling the alarm, causing repeated alarms.

Summary of the invention

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.

In order to solve the above technical problems, the present invention provides a smart device monitoring method based on a data center monitoring system, including:

Obtain monitoring data of the smart device, the monitoring data including monitoring items and monitoring values;

Determine the numerical fluctuation range according to the abnormal range and hysteresis value in advance;

Determine whether the monitored value is within the fluctuation range of the value;

If the monitoring value is within the value fluctuation range, acquiring the alarm status of the monitoring item at the previous moment;

If the alarm status is an implementation alarm, then alarm information is generated, otherwise no alarm information is generated.

Wherein, 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.

Wherein, 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.

Wherein, the high limit hhi, the limit hi, the limit low, and the low limit llow are all obtained through dynamic adjustment.

Wherein, the hysteresis value includes:

The first hysteresis value band1 corresponding to the first abnormal range1, the second hysteresis value band2 corresponding to the second abnormal range2, the third hysteresis value band3 corresponding to the third abnormal range , And a fourth hysteresis value band4 corresponding to the fourth abnormal range, where low+band4<low, low+band3<hi, low<hi-band2, hi<hhi-band1.

Wherein, said acquiring the monitoring data of the smart device includes:

Obtain the monitoring data of smart devices through any of the serial port protocol, tcp Modbus protocol and snmp protocol.

Wherein, after the numerical fluctuation range is determined in advance according to the abnormal range and the hysteresis value, it further includes:

Determine whether the abnormal range and the hysteresis value are set reasonably;

If it is unreasonable, the user is prompted to reset the abnormal range and/or the hysteresis value.

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.

Wherein, 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.

Finally, 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. In addition, 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. When the monitored value falls within the fluctuation range, the previous alarm state is maintained, avoiding repeated alarms caused by the back and forth fluctuation of the monitored value at the edge of the abnormal range.

In addition, 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.

Description of the drawings

In order to explain the embodiments of the present invention or the technical solutions of the prior art more clearly, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the drawings in the following description are merely For some of the embodiments of the present invention, those of ordinary skill in the art can obtain other drawings based on these drawings without creative work.

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;

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;

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;

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.

detailed description

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.

In order to enable those skilled in the art to better understand the solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

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. Among them, the discovery and alarm of the abnormal operation data of the smart device is a very important and helpful function for operation and maintenance. Unfortunately, the current data abnormal alarm judgment and discovery mechanism has great defects. For details, please refer to the background technology. To solve this problem, the present invention proposes a method for monitoring smart equipment based on a data center monitoring system.

The following describes an embodiment of a smart device monitoring method based on a data center monitoring system provided by the present invention. Referring to FIG. 1, this embodiment specifically includes:

Step S101: Obtain monitoring data of the smart device, where the monitoring data includes monitoring items and monitoring values.

Since the protocols between smart devices and smart devices may be different, 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.

It is worth mentioning that there are obviously many monitoring items 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.

In addition to the above abnormal range, 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:

As described above, the abnormal range may include multiple sub-abnormal ranges. In this embodiment, as shown in FIG. 2, the abnormal range includes the following four sub-abnormal ranges:

It can be seen that in each of the above sub-anomaly ranges, each sub-anomaly range corresponds to one or two edge thresholds. The above illustrates that the sub-anomaly ranges can be customized. Obviously, 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.

In this embodiment, for each of the aforementioned edge thresholds, a hysteresis value can be set. Specifically, as shown in FIG. 3, the hysteresis value may include:

The first hysteresis value band1 corresponding to the first abnormal range1, the second hysteresis value band2 corresponding to the second abnormal range2, the third hysteresis value band3 corresponding to the third abnormal range , And a fourth hysteresis value band4 corresponding to the fourth abnormal range. Among them, low+band4<low, low+band3<hi, low<hi-band2, hi<hhi-band1.

As mentioned above, there are different levels of warning information for each sub-abnormal range. In this embodiment, the specific alarm status can be referred to Table 1. Table 1 is the alarm status of the monitoring items of the monitoring value falling within each range in this embodiment.

Table 1

In addition, before implementing monitoring, it is necessary to set the abnormal range and hysteresis value. This method greatly improves flexibility, but it may also bring some problems, such as the abnormal range or the unsatisfactory setting of the hysteresis value. In other words, the edge threshold and the hysteresis value are not completely independent. If the configuration is inaccurate, there may be overlap between them. For users, manual judgment is more complicated.

To solve this problem, 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.

Specifically, as shown in Fig. 4, the above-mentioned edge threshold and hysteresis value can be configured respectively through the graphical user interface of the data center monitoring system. When the user saves the configuration, 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.

As shown in Figure 4, specifically, in addition to the above-mentioned edge threshold and hysteresis value, other parameters can be configured, such as alarm delay, number of alarms, and so on.

In summary, the smart device monitoring method based on the data center monitoring system provided by this embodiment 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. , You can customize the abnormal range and hysteresis value parameters, which is more applicable, and you can customize the configuration according to the actual situation in different data. In addition, by setting the hysteresis value, 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.

As shown in Figure 5, 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.

Wherein, 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.

In addition, since 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.

Memory: used to store computer programs;

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 various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments, and the same or similar parts between the various embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant part can be referred to the description of the method part.

Professionals may further realize that the units and algorithm steps of the examples described in the embodiments disclosed in this article can be implemented by electronic hardware, computer software, or a combination of both, in order to clearly illustrate the possibilities of hardware and software. Interchangeability. In the above description, the composition and steps of each example have been generally described in accordance with the function. Whether these functions are executed by hardware or software depends on the specific application and design constraint conditions of the technical solution. Professionals and technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered as going beyond the scope of the present invention.

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.

The above describes in detail a method, device and equipment for monitoring smart equipment based on a data center monitoring system provided by the present invention. Specific examples are used in this article to illustrate the principle and implementation of the present invention. The description of the above examples is only used to help understand the method and core idea of the present invention. It should be pointed out that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and modifications can be made to the present invention, and these improvements and modifications also fall within the protection scope of the claims of the present invention.

Claims

A smart device monitoring method based on a data center monitoring system, which is characterized in that it includes:

Obtain monitoring data of the smart device, the monitoring data including monitoring items and monitoring values;

Determine the numerical fluctuation range according to the abnormal range and hysteresis value in advance;

Determine whether the monitored value is within the fluctuation range of the value;

If the monitoring value is within the value fluctuation range, acquiring the alarm status of the monitoring item at the previous moment;

If the alarm status is an implementation alarm, then alarm information is generated, otherwise no alarm information is generated.
The method of claim 1, wherein 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 of.
The method according to claim 2, wherein 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.
The method according to claim 3, wherein the high limit hhi, the limit hi, the limit low, and the low limit llow are all obtained by dynamic adjustment.
The method of claim 3, wherein the hysteresis value comprises:

The first hysteresis value band1 corresponding to the first abnormal range1, the second hysteresis value band2 corresponding to the second abnormal range2, the third hysteresis value band3 corresponding to the third abnormal range , And a fourth hysteresis value band4 corresponding to the fourth abnormal range, where low+band4<low, low+band3<hi, low<hi-band2, hi<hhi-band1.
The method according to claim 1, wherein said obtaining monitoring data of a smart device comprises:

Obtain the monitoring data of smart devices through any of the serial port protocol, tcp Modbus protocol and snmp protocol.
The method according to any one of claims 1 to 6, characterized in that, after the determining the numerical fluctuation range according to the abnormal range and the hysteresis value in advance, the method further comprises:

Determine whether the abnormal range and the hysteresis value are set reasonably;

If it is unreasonable, the user is prompted to reset the abnormal range and/or the hysteresis value.
An intelligent equipment monitoring device based on a data center monitoring system is characterized in that it comprises:

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 device according to claim 8, wherein the monitoring data acquisition module is specifically configured to acquire the monitoring data of the smart device through any one of the serial port protocol, the tcp Modbus protocol, and the snmp protocol.
A smart device monitoring device based on a data center monitoring system, which is characterized in that it includes:

Memory: used to store computer programs;

Processor: used to execute the computer program to implement the steps of a data center monitoring system-based smart device monitoring method according to any one of claims 1-7.