CN110873613A - A method and device for processing abnormality of computer room based on temperature monitoring - Google Patents

Abstract

The present invention provides a method and device for processing abnormality in a computer room based on temperature monitoring. The method includes: acquiring temperature-related CPU indicators of each server in a computer room and an ambient temperature in the computer room; judging whether the acquired ambient temperature of the computer room is within a first preset temperature range, and if so, determining that the computer room is running Normal; if not, according to the obtained temperature-related CPU indicators of each server, determine whether there is an abnormally running server; if there is an abnormally running server, perform abnormal processing on the abnormally running server; if not If the server is running abnormally, it is determined that the computer room is running abnormally, and the abnormality processing is performed on the computer room. By directly checking and processing the abnormal conditions of the computer room and the server according to the temperature information of the computer room and the server, the invention reduces the response time, thereby reducing the loss, and simultaneously reducing the manual intervention, thereby reducing the labor cost.

Description

A method and device for processing abnormality of computer room based on temperature monitoring

technical field

The invention relates to the technical field of computer networks, in particular to a method for processing abnormality of a computer room based on temperature monitoring, a device for processing abnormality of a computer room based on temperature monitoring, a computer storage medium and a computing device.

Background technique

With the development of the computer information system, the computer room as the storage place of the core equipment such as the network equipment and the host server is becoming more and more important. The computer room usually refers to the place where telecommunications, Netcom, mobile, dual-line, electricity, and government or enterprises are used to store servers and provide IT services for users and employees. In a large computer room, such as an IDC (Internet Data Center, Internet Data Center) computer room, there are usually thousands of cabinets or even more, and various servers and minicomputers are placed in the cabinets. In order to ensure the normal operation of the equipment in the equipment room, it is necessary to maintain and operate the equipment room to ensure that the equipment room can receive product maintenance and technical support from equipment suppliers or equipment room service and maintenance personnel in a timely manner when hardware equipment failures are caused by unexpected accidents and affect the normal operation of the equipment room. , and troubleshoot quickly.

In the prior art, operators usually only set thermometers in different areas of the computer room to monitor the temperature of the computer room. When the temperature in a certain area is abnormal, the owner of the area is notified that the server in this area may be down. question. Then, the owner of the area notifies the operation and maintenance engineer, and the operation and maintenance engineer will go to the site to conduct manual inspection, troubleshoot the fault, and then deal with the fault accordingly. Further, when troubleshooting, for example, when troubleshooting a server, the conventional method is to log in to the server first. If you cannot log in, check whether the network is normal. If the network is normal but you still cannot log in, continue to check the CPU metrics, operation logs, etc. . The existing fault response methods lead to too long response time and cannot quickly respond to emergencies. In addition, manual troubleshooting steps are cumbersome, increasing labor costs.

SUMMARY OF THE INVENTION

In view of the above problems, the present invention is proposed in order to provide a temperature monitoring-based computer room abnormality processing method, a temperature monitoring-based computer room abnormality processing device, a computer storage medium, and a computing device that overcome the above problems or at least partially solve the above problems.

According to an aspect of the embodiments of the present invention, a method for processing an abnormality of a computer room based on temperature monitoring is provided, including:

Obtain the temperature-related CPU indicators of each server in the computer room and the ambient temperature in the computer room;

Determine whether the obtained ambient temperature of the computer room is within the first preset temperature range, and if so, determine that the computer room is operating normally;

If not, according to the obtained temperature-related CPU indicators of each server, determine whether there is an abnormally running server;

If there is a server running abnormally, perform abnormal processing on the server running abnormally;

If there is no server running abnormally, it is determined that the computer room is running abnormally, and the abnormality processing is performed on the computer room.

Optionally, the temperature-related CPU indicators of each server include the CPU temperature of each server;

According to the obtained temperature-related CPU indicators of each server, determine whether there are abnormal servers, including:

Determine whether the obtained CPU temperature of each server is within the second preset temperature range;

If the obtained CPU temperature of a certain server is not within the second preset temperature range, it is determined that the server whose CPU temperature is not within the second preset temperature range operates abnormally;

If the obtained CPU temperature of each server is within the second preset temperature range, it is determined that there is no abnormally running server.

Optionally, the temperature-related CPU indicators of each server further include the CPU idle time percentage of each server;

If the obtained CPU temperature of a certain server is not within the second preset temperature range, it is determined that the server whose CPU temperature is not within the second preset temperature range operates abnormally, including:

If the obtained CPU temperature of a certain server is not within the second preset temperature range, determine whether the CPU idle time percentage of the server whose CPU temperature is not within the second preset temperature range is higher than a preset threshold;

If so, it is determined that the server whose CPU temperature is not within the second preset temperature range operates abnormally.

Optionally, the first preset temperature range is an artificially set temperature range, or a temperature range calculated according to historical data of the ambient temperature of the computer room;

The second preset temperature range is an artificially set temperature range, or a temperature range calculated according to historical data of the CPU temperature of the server.

Optionally, the method further includes:

Save the obtained ambient temperature in the computer room as the historical data of the ambient temperature in the computer room;

Draw a historical change curve of the environmental temperature of the computer room according to the stored historical data of the environmental temperature of the computer room, and record the abnormal event corresponding to the abnormal change segment in the historical change curve of the environmental temperature of the computer room and the characteristic attribute of the abnormal event;

at this time,

Exception handling is performed on the computer room, including:

Compare whether the currently obtained change trend of the ambient temperature of the computer room is the same as the change trend of the abnormal change segment in the historical change curve of the ambient temperature of the computer room;

If yes, then according to the abnormal event corresponding to the abnormal change segment and the characteristic attribute of the abnormal event, perform abnormal processing on the computer room.

Optionally, the method further includes:

Save the obtained CPU temperature of each server as the historical data of the CPU temperature of each server;

Draw the CPU temperature historical change curve of each server according to the stored historical data of the CPU temperature of each server, and record the abnormal event corresponding to the abnormal change segment in the CPU temperature historical change curve and the characteristic attribute of the abnormal event;

at this time,

Perform exception handling on the abnormally running server, including:

Compare whether the currently obtained change trend of the CPU temperature of the abnormally running server is the same as the change trend of the abnormal change segment in the CPU temperature historical change curve of the server;

If it is, according to the abnormal event corresponding to the abnormal change segment and the characteristic attribute of the abnormal event, perform abnormal processing on the abnormally running server.

Optionally, the characteristic attribute of the abnormal event includes a processing priority of the abnormal event.

Optionally, the method further includes:

determining the distribution of abnormally running servers in the computer room;

If two or more adjacent servers run abnormally, the abnormality processing is preferentially performed on the two or more adjacent servers.

Optionally, performing exception processing on the abnormally running server includes at least one of the following:

Switch the abnormally running server to the standby server;

Call the police;

adjusting the temperature of the air conditioner in the machine room;

Shut down the abnormal server to cool down.

Optionally, performing exception processing on the computer room includes at least one of the following:

switching the computer room to a spare computer room;

Call the police;

Automatic physical fire extinguishing;

Troubleshoot air conditioning equipment.

According to another aspect of the embodiments of the present invention, an apparatus for processing abnormality of a computer room based on temperature monitoring is also provided, including:

a temperature acquisition module, suitable for acquiring temperature-related CPU indicators of each server in the computer room and the ambient temperature in the computer room;

a computer room judgment module, adapted to judge whether the acquired ambient temperature of the computer room is within the first preset temperature range, and if so, determine that the computer room is operating normally;

The server judging module is adapted to judge whether there is an abnormally running server according to the obtained temperature-related CPU indicators of each server if the obtained ambient temperature of the computer room is not within the first preset temperature range;

A server processing module, adapted to perform abnormality processing on the abnormally operating server if there is an abnormally operating server; and

The computer room processing module is adapted to determine that the computer room is abnormally running if there is no abnormally running server, and process the abnormality of the computer room.

Optionally, the temperature-related CPU indicators of each server include the CPU temperature of each server;

The server judgment module is also suitable for:

Determine whether the obtained CPU temperature of each server is within the second preset temperature range;

If the obtained CPU temperature of a certain server is not within the second preset temperature range, it is determined that the server whose CPU temperature is not within the second preset temperature range operates abnormally;

If the obtained CPU temperature of each server is within the second preset temperature range, it is determined that there is no abnormally running server.

Optionally, the temperature-related CPU indicators of each server further include the CPU idle time percentage of each server;

The server judgment module is also suitable for:

If the obtained CPU temperature of a certain server is not within the second preset temperature range, determine whether the CPU idle time percentage of the server whose CPU temperature is not within the second preset temperature range is higher than a preset threshold;

If so, it is determined that the server whose CPU temperature is not within the second preset temperature range operates abnormally.

Optionally, the first preset temperature range is an artificially set temperature range, or a temperature range calculated according to historical data of the ambient temperature of the computer room;

The second preset temperature range is an artificially set temperature range, or a temperature range calculated according to historical data of the CPU temperature of the server.

Optionally, the device further includes:

The first data storage module is adapted to save the acquired ambient temperature in the computer room as historical data of the ambient temperature of the computer room;

The first variation curve drawing module is adapted to draw the historical variation curve of the ambient temperature of the computer room according to the stored historical data of the ambient temperature of the computer room, and record the abnormal events corresponding to the abnormal variation segments in the historical variation curve of the ambient temperature of the computer room and the Characteristics of abnormal events;

at this time,

The computer room processing module is also suitable for:

Compare whether the currently obtained change trend of the ambient temperature of the computer room is the same as the change trend of the abnormal change segment in the historical change curve of the ambient temperature of the computer room;

If yes, then according to the abnormal event corresponding to the abnormal change segment and the characteristic attribute of the abnormal event, perform abnormal processing on the computer room.

Optionally, the device further includes:

The second data saving module is adapted to save the obtained CPU temperature of each server as the historical data of the CPU temperature of each server;

The second change curve drawing module is adapted to draw the CPU temperature historical change curve of each server according to the stored historical data of the CPU temperature of each server, and record the abnormal event corresponding to the abnormal change segment in the CPU temperature historical change curve and the characteristic properties of said anomalous event;

at this time,

The server processing module is also adapted to:

Compare whether the currently obtained change trend of the CPU temperature of the abnormally running server is the same as the change trend of the abnormal change segment in the CPU temperature historical change curve of the server;

If it is, according to the abnormal event corresponding to the abnormal change segment and the characteristic attribute of the abnormal event, perform abnormal processing on the abnormally running server.

Optionally, the characteristic attribute of the abnormal event includes a processing priority of the abnormal event.

Optionally, the device further includes:

an abnormality distribution determining module, adapted to determine the distribution of abnormally running servers in the computer room;

If two or more adjacent servers run abnormally, the server processing module is triggered to preferentially process the abnormality on the two or more adjacent servers.

Optionally, performing exception processing on the abnormally running server includes at least one of the following:

Switch the abnormally running server to the standby server;

Call the police;

adjusting the temperature of the air conditioner in the machine room;

Shut down the abnormal server to cool down.

Optionally, performing exception processing on the computer room includes at least one of the following:

switching the computer room to a spare computer room;

Call the police;

Automatic physical fire extinguishing;

Troubleshoot air conditioning equipment.

According to yet another aspect of the embodiments of the present invention, there is also provided a computer storage medium, where the computer storage medium stores computer program codes, which, when the computer program codes are executed on a computing device, cause the computing device to execute according to the The processing method for the abnormality of the equipment room based on temperature monitoring according to any one of the above.

According to yet another aspect of the embodiments of the present invention, a computing device is also provided, including:

processor; and

memory in which computer program code is stored;

When the computer program code is executed by the processor, it causes the computing device to execute the method for processing an abnormality of a computer room based on temperature monitoring according to any one of the above.

The method and device for processing abnormality in a computer room based on temperature monitoring proposed by the embodiments of the present invention first acquire temperature-related CPU indicators of each server in the computer room and the ambient temperature in the computer room; and then determine whether the computer room is running according to the acquired ambient temperature of the computer room If it is normal, if not, then further judge whether there is an abnormally running server according to the obtained temperature-related CPU indicators of each server; further, if there is an abnormally running server, perform abnormal processing on the abnormally running server, if not If the server runs abnormally, the computer room will be processed abnormally. By directly checking and processing the abnormal conditions of the computer room and the server according to the temperature information of the computer room and the server, the response time is reduced, thereby reducing losses, and at the same time reducing manual intervention, thereby reducing labor costs.

Further, when judging whether the server is abnormal, the judgment is made in combination with the CPU temperature and the CPU idle time percentage of the server, so that the abnormality of the server can be more accurately checked.

Further, save the obtained computer room ambient temperature and the server's CPU temperature as historical data, draw the computer room ambient temperature historical change curve and the server's CPU temperature historical change curve respectively according to the historical data of the computer room ambient temperature and CPU temperature, and record them separately. The abnormal event corresponding to the abnormal change segment in the historical change curve of the ambient temperature of the computer room and the characteristic attribute of the abnormal event, and the abnormal event corresponding to the abnormal change segment in the CPU temperature historical change curve and the characteristic attribute of the abnormal event. In this way, when abnormal processing is performed on the computer room and/or the server, it is possible to compare whether the change trend of the currently obtained environmental temperature of the computer room is the same as the change trend of the abnormal change segment in the historical change curve of the environmental temperature of the computer room, and/or compare the current Whether the change trend of the obtained CPU temperature of the abnormally running server is the same as the change trend of the abnormal change segment in the historical change curve of the CPU temperature of the server is to determine the processing priority of abnormal events in the computer room and/or abnormal events of the server, and then , abnormal processing can be performed on the computer room and/or the server according to the processing priority, so as to prevent huge losses caused by the emergency abnormal event not being processed in time, and improve the disaster recovery capability of the computer room.

The above description is only an overview of the technical solutions of the present invention, in order to be able to understand the technical means of the present invention more clearly, it can be implemented according to the content of the description, and in order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand , the following specific embodiments of the present invention are given.

The above and other objects, advantages and features of the present invention will be more apparent to those skilled in the art from the following detailed description of the specific embodiments of the present invention in conjunction with the accompanying drawings.

Description of drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are for the purpose of illustrating preferred embodiments only and are not to be considered limiting of the invention. Also, the same components are denoted by the same reference numerals throughout the drawings. In the attached image:

FIG. 1 shows a flowchart of a method for processing abnormality in a computer room based on temperature monitoring according to an embodiment of the present invention;

FIG. 2 shows a flowchart of a method for processing an abnormality in a computer room based on temperature monitoring according to another embodiment of the present invention;

FIG. 3 shows a schematic structural diagram of an apparatus for processing abnormality in a computer room based on temperature monitoring according to an embodiment of the present invention; and

FIG. 4 shows a schematic structural diagram of an apparatus for processing abnormality in a computer room based on temperature monitoring according to another embodiment of the present invention.

Detailed ways

Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that the present disclosure will be more thoroughly understood, and will fully convey the scope of the present disclosure to those skilled in the art.

The inventor found that when the CPU of the server is faulty, the CPU temperature is usually abnormal. In the current operation and maintenance of the computer room, the operation and maintenance personnel can only be notified of the abnormal temperature in the area of the computer room, and then need to manually troubleshoot the fault step by step. For example, when troubleshooting a server, the conventional method is to log in to the server first. If you cannot log in, check whether the network is normal. If the network is normal but you still cannot log in, continue to check the CPU metrics and operation logs. This results in too long response times to quickly respond to emergencies. In addition, manual troubleshooting steps are cumbersome, increasing labor costs.

In order to solve the above technical problem, an embodiment of the present invention proposes a method for processing an abnormality of a computer room based on temperature monitoring. FIG. 1 shows a flowchart of a method for processing an abnormality in a computer room based on temperature monitoring according to an embodiment of the present invention. Referring to Figure 1, the method may include at least the following steps:

Step S102, acquiring temperature-related CPU indicators of each server in the computer room and the ambient temperature in the computer room.

Step S104, it is determined whether the obtained ambient temperature of the computer room is within the first preset temperature range, and if so, it is determined that the computer room is operating normally.

Step S106 , if no, according to the obtained temperature-related CPU indicators of each server, it is determined whether there is a server with abnormal operation.

Step S108, if there is a server with abnormal operation, perform abnormal processing on the server with abnormal operation.

Step S110, if there is no abnormally running server, it is determined that the computer room is running abnormally, and the abnormality processing is performed on the computer room.

The method for processing an abnormality of a computer room based on temperature monitoring provided by the embodiment of the present invention may be executed by a designated monitoring management platform. Preferably, the designated monitoring management platform is an IPMI (Intelligent Platform Management Interface, intelligent platform management interface) platform. IPMI is an industry standard adopted for managing peripheral devices used in Intel architecture-based enterprise systems. IPMI is also an open and free standard that users can use at no additional cost. IPMI can span different operating systems, firmware and hardware platforms, and can intelligently monitor, control and automatically report the operating status of a large number of servers, such as temperature, voltage, fan working status, power status, etc., to reduce server system costs.

The method for processing an abnormality in a computer room based on temperature monitoring proposed by the embodiment of the present invention first acquires temperature-related CPU indicators of each server in the computer room and the ambient temperature in the computer room; then judges whether the computer room is running normally according to the acquired ambient temperature of the computer room If not, it is further judged whether there is an abnormally running server according to the obtained temperature-related CPU indicators of each server; furthermore, if there is an abnormally running server, the abnormally running server is processed abnormally, if there is no abnormally running server If the server is installed, the server room will be abnormally processed. By directly checking and processing the abnormal conditions of the computer room and the server according to the temperature information of the computer room and the server, the response time is reduced, thereby reducing losses, and at the same time reducing manual intervention, thereby reducing labor costs.

In the above step S102, the temperature-related CPU indicators of each server in the computer room and the ambient temperature in the computer room can be obtained by means of various sensors (eg, temperature sensors) by specifying a monitoring and management platform, especially an IPMI platform.

In the above step S104, it is determined whether the ambient temperature of the computer room is abnormal by comparing the obtained ambient temperature of the computer room with the upper limit value and the lower limit value of the first preset temperature range. The first preset temperature range mentioned here may be an artificially set temperature range for the normal operation of the computer room, or may be a temperature range obtained by calculation according to historical data of the ambient temperature of the computer room.

In one embodiment, the highest value and the lowest value in the historical data of the ambient temperature of the normal operating equipment room in each specified time interval (such as every minute, hour, every day, etc.) can be added and averaged respectively, Obtain the average value of the highest value and the average value of the lowest value, and then obtain the first preset temperature range according to the average value of the highest value and the average value of the lowest value obtained by calculation. For example, assume that in the five-day historical data, the highest values of the normal room ambient temperature are 24°C, 25°C, 24°C, 25°C, and 24°C, and the lowest values are 20°C, 21°C, and 20°C, respectively. ℃, 22℃, 19℃, the highest value and the lowest value are summed and averaged respectively to obtain the average value of the highest value 24.4°C and the average value of the lowest value 20.4°C, and then the first preset temperature range is 20.4-24.4°C.

In another alternative embodiment, the average value of the ambient temperature of the computer room can also be obtained by adding and averaging the historical data of the ambient temperature of the computer room that is running normally, and then according to the calculated average value of the ambient temperature of the computer room and the ambient temperature of the computer room The allowable fluctuation range is obtained to obtain the first preset temperature range. For example, if the average value of the ambient temperature in the computer room is 22.4°C, and the allowable fluctuation range of the ambient temperature in the computer room is ±3°C, the first preset temperature range is obtained as 19.4-25.4°C. It should be noted that the above calculation manner of the first preset temperature range is only exemplary, and the present invention is not limited thereto.

In the above step S106, if the acquired ambient temperature of the computer room is not within the first preset temperature range, it is determined whether there is an abnormally running server according to the acquired temperature-related CPU indicators of each server.

In an optional embodiment of the present invention, the obtained temperature-related CPU indicators of each server include the CPU temperature of each server. Correspondingly, according to the obtained temperature-related CPU indicators of each server, judging whether there is a server with abnormal operation can be implemented as the following steps:

Determine whether the obtained CPU temperature of each server is within the second preset temperature range;

If the obtained CPU temperature of a certain server is not within the second preset temperature range, it is determined that the server whose CPU temperature is not within the second preset temperature range operates abnormally;

If the obtained CPU temperatures of the servers are all within the second preset temperature range, it is determined that there is no abnormally running server.

The CPU temperature of each server can preferably be obtained through the IPMI platform by means of a temperature sensor installed on each server.

The second preset temperature range mentioned here may be an artificially set CPU temperature range for normal operation of the server, or may be a temperature range calculated according to historical data of the CPU temperature of the server.

In one embodiment, the highest value and the lowest value in the historical data of the CPU temperature of the server running normally in each specified time interval (such as every minute, hour, every day, etc.) can be added and averaged respectively, The average value of the highest value and the average value of the lowest value are obtained, and then the second preset temperature range is obtained according to the average value of the highest value and the average value of the lowest value obtained by calculation. For example, assume that in the five-day historical data, the highest values of the normal CPU temperature of the server are 63°C, 65°C, 64°C, 65°C, and 62°C, and the lowest values are 45°C, 44°C, and 62°C. 46°C, 45°C, and 46°C, the highest and lowest values are summed and averaged, respectively, to obtain the average value of the highest value of 63.8°C and the average value of the lowest value of 45.2°C, and then obtain the second preset temperature range of 45.2-63.8°C .

In another alternative embodiment, the average CPU temperature can also be obtained by adding and averaging the historical data of the CPU temperature of the server that is running normally, and then according to the calculated average CPU temperature and the allowable fluctuation of the CPU temperature range to obtain a second preset temperature range. For example, if the average CPU temperature of the server is calculated to be 54.5°C, and the allowable fluctuation range of the CPU temperature is ±10°C, the second preset temperature range is obtained as 44.5-64.5°C. It should be noted that the above calculation manner of the second preset temperature range is only exemplary, and the present invention is not limited thereto.

Further, in another optional embodiment of the present invention, the obtained temperature-related CPU indicators of each server include not only the CPU temperature of each server, but also the CPU idle time percentage of each server. Correspondingly, if the obtained CPU temperature of a certain server is not within the second preset temperature range, the step of determining that the server whose CPU temperature is not within the second preset temperature range is abnormally running may also be implemented as follows:

If the obtained CPU temperature of a certain server is not within the second preset temperature range, then determine whether the CPU idle time percentage of the server whose CPU temperature is not within the second preset temperature range is higher than the preset threshold;

If so, it is determined that the server whose CPU temperature is not within the second preset temperature range operates abnormally.

The percentage of CPU idle time, that is, the idle value, is one of the important indicators to indicate the running state of the CPU. The higher the Idle value, the lower the CPU usage and the more idle the CPU is. When the server performs intensive operations, the CPU temperature will rise. At this time, the corresponding CPU indicator shows a low idle value. Therefore, by combining the server's CPU temperature and CPU idle time percentage (ie, the idle value) to judge, when the server's CPU temperature is high and the CPU usage is also high (ie, the idle value is low), it indicates that the CPU is in a normal state. In the intensive computing state, when the CPU temperature of the server is high but the CPU is very idle (that is, the idle value is high), it indicates that the CPU is running abnormally, so that the server abnormality can be more accurately checked.

In the above step S108, if it is determined that there is a server with abnormal operation, abnormal processing is performed on the server with abnormal operation.

Optionally, according to different server abnormal conditions, the abnormal processing of the abnormally operating server may include at least one of the following: switching the abnormally operating server to a backup server; alarming; adjusting the temperature of the air conditioner in the computer room; shutting down the abnormally operating server Cool down.

The methods of alarming include but are not limited to text messages, emails, and APP (application) message notifications.

A specific example is described below: when an abnormally running server is found, the temperature of the air conditioner closest to the cabinet where the abnormally running server is located can be adjusted first, until the temperature of the entire equipment room drops to a normal range. Then, if the temperature of the entire computer room cannot be lowered to the normal range only by adjusting the air conditioner, switch the abnormally running server to the standby server, shut down the abnormally running server to cool down, make an alarm, and record the log.

In the above step S110, if it is determined that there is no abnormally operating server, it is determined that the computer room is operating abnormally, and the abnormality processing is performed on the computer room.

Optionally, according to different abnormal conditions of the computer room, the abnormal processing of the computer room may include at least one of the following:

Switch the computer room to the standby computer room;

Call the police;

Automatic physical fire extinguishing;

Troubleshoot air conditioning equipment.

At present, most Internet services adopt the architecture of local multi-active (that is, deploying a service to multiple computer rooms in a city) or remote multi-active (that is, deploying a service to multiple computer rooms in multiple cities). design. In the multi-active architecture, each computer room is active and can bear the traffic in real time. If any computer room has a problem, it can be directly cut off and another computer room can take over directly, thereby improving the disaster recovery capability of the computer room. After determining that the equipment room is abnormal, switch to the spare equipment room to ensure the normal operation of the business.

The methods of alarming include but are not limited to text messages, emails, and APP (application) message notifications.

If there is a fire in the computer room, physical extinguishing can be carried out automatically.

If the air-conditioning equipment fails, you can notify the operation and maintenance personnel of the equipment room to troubleshoot the air duct, compressor, humidifier, etc.

In an optional embodiment of the present invention, the method may further include the following steps:

Save the obtained ambient temperature in the computer room as the historical data of the ambient temperature in the computer room;

Draw the historical change curve of the environmental temperature of the computer room according to the historical data of the environmental temperature of the computer room, and record the abnormal events and the characteristic attributes of the abnormal events corresponding to the abnormal change segments in the historical change curve of the environmental temperature of the computer room.

At this time, correspondingly, the steps of processing exceptions in the computer room may include:

Compare whether the current change trend of the ambient temperature of the computer room is the same as the change trend of the abnormal change segment in the historical change curve of the ambient temperature of the computer room;

If yes, then according to the abnormal event corresponding to the abnormal change segment and the characteristic attribute of the abnormal event, abnormal processing is performed on the computer room.

The abnormal events mentioned here may include fire in the computer room, failure of air-conditioning equipment, and the like.

Further, the characteristic attribute of the abnormal event may include the processing priority of the abnormal event. In practical applications, the processing priority of the abnormal event can be set according to the urgency of the abnormal event or the size of the loss it may cause.

In an optional implementation manner, the currently acquired change trend of the ambient temperature of the computer room may be analyzed by combining the currently acquired data of the ambient temperature of the computer room with the data of the ambient temperature of the computer room acquired within a period of time before the current time point derived from changes in temperature. In another optional implementation manner, it can also be obtained by continuously acquiring multiple computer room ambient temperature data within a specified period of time, and by analyzing changes in the multiple computer room ambient temperature data. For example, the ambient temperature of the computer room is acquired every second within 1 minute, and the ambient temperature data of 60 computer rooms are obtained, and then the changes of the ambient temperature data of the 60 computer rooms are analyzed to obtain the current change trend of the ambient temperature of the computer room.

In an optional embodiment of the present invention, the method may further include the following steps:

Save the obtained CPU temperature of each server as the historical data of the CPU temperature of each server;

Draw the CPU temperature historical change curve of each server according to the stored historical data of the CPU temperature of each server, and record the abnormal events and the characteristic attributes of abnormal events corresponding to the abnormal change segments in the CPU temperature historical change curve of each server.

At this time, correspondingly, the steps of abnormally processing the abnormally running server may include:

Compare whether the currently obtained change trend of the CPU temperature of the abnormally running server is the same as the change trend of the abnormal change segment in the CPU temperature historical change curve of the server;

If so, according to the abnormal event corresponding to the abnormal change segment and the characteristic attribute of the abnormal event, perform abnormal processing on the abnormally running server.

In an optional implementation manner, the currently acquired CPU temperature of the abnormally running server may be obtained by combining the currently acquired CPU temperature data of the server with the CPU temperature of the server acquired within a period of time before the current time point data to analyze temperature changes. In another optional implementation manner, it can also be obtained by continuously acquiring a plurality of CPU temperature data of the server within a specified period of time, and by analyzing the changes of the continuously acquired temperature data. For example, the CPU temperature data of the server is acquired every second within 1 minute, and 60 CPU temperature data of the server are obtained, and then the changes of the CPU temperature data are analyzed to obtain the current change trend of the CPU temperature of the server obtained.

Further, the characteristic attribute of the abnormal event may include the processing priority of the abnormal event. In practical applications, the processing priority of the abnormal event can be set according to the urgency of the abnormal event or the size of the loss it may cause.

When abnormality processing is performed on the computer room and/or server, by comparing the change trend of the currently obtained ambient temperature of the computer room with the change trend of the abnormal change segment in the historical change curve of the ambient temperature of the computer room, and/or comparing the current acquired Whether the change trend of the CPU temperature of the abnormally running server is the same as the change trend of the abnormal change segment in the historical change curve of the CPU temperature of the server is used to determine the processing priority of abnormal events in the computer room and/or abnormal events of the server. The processing priority is used to handle exceptions in the computer room and/or server, so as to prevent huge losses due to the failure to deal with emergency abnormal events in time, and improve the disaster recovery capability of the computer room.

In an optional embodiment of the present invention, after judging that there is an abnormally running server, the method may further include the following steps:

Determine the distribution of abnormal servers in the computer room;

If two or more adjacent servers run abnormally, the two or more adjacent servers will be prioritized for exception handling.

A cluster of abnormally operating servers often indicates more severe server failures, which can also lead to more service failures and losses. Therefore, by analyzing the distribution of abnormally running servers in the computer room, and then according to the analysis results, the aggregated multiple abnormally running servers are preferentially processed in a timely manner to avoid causing greater losses.

Various implementations of each link of the embodiment shown in FIG. 1 have been described above. The following will describe in detail the implementation process of the method for processing abnormality in a computer room based on temperature monitoring of the present invention through specific embodiments. FIG. 2 shows a flowchart of a method for processing an abnormality in a computer room based on temperature monitoring according to another embodiment of the present invention. Referring to FIG. 2, the method may include at least steps S202 to S222.

Step S202, acquiring the CPU temperature and CPU idle time percentage of each server in the computer room and the ambient temperature in the computer room.

Step S204, it is determined whether the obtained ambient temperature of the computer room is within the first preset temperature range, and if so, it is determined that the computer room is operating normally.

Step S206, if not, determine whether the obtained CPU temperature of each server is within the second preset temperature range.

Step S208, if the obtained CPU temperature of a certain server is not within the second preset temperature range, determine whether the CPU idle time percentage of the server whose CPU temperature is not within the second preset temperature range is higher than a preset threshold.

Step S210, if yes, it is determined that the server whose CPU temperature is not within the second preset temperature range operates abnormally.

Step S212, compare whether the currently obtained change trend of the CPU temperature of the abnormally running server is the same as the change trend of the abnormal change segment in the CPU temperature historical change curve of the server, wherein the CPU temperature historical change curve of the server is based on The stored historical data of the CPU temperature of the server is drawn, and the abnormal events and the processing priorities of the abnormal events corresponding to the abnormal change segments in the CPU temperature historical change curve of the server are recorded.

Step S214, if they are the same, according to the abnormal event and the processing priority of the abnormal event corresponding to the abnormal change segment in the CPU temperature historical change curve, perform abnormal processing on the abnormally running server; The abnormal server performs exception handling.

Step S216, if the obtained CPU temperatures of the servers are all within the second preset temperature range, it is determined that the computer room is abnormally running.

Step S218, compare whether the currently obtained change trend of the ambient temperature of the computer room is the same as the change trend of the abnormal change segment in the historical change curve of the ambient temperature of the computer room, wherein the historical change curve of the ambient temperature of the computer room is based on the saved history of the ambient temperature of the computer room The data is drawn, and the abnormal events and the processing priorities of the abnormal events corresponding to the abnormal change segments in the historical change curve of the ambient temperature of the equipment room are recorded.

Step S220, if the same, according to the abnormal event and the processing priority of the abnormal event corresponding to the abnormal change section in the historical change curve of the environmental temperature of the computer room, perform abnormal processing on the computer room; if different, perform abnormal processing on the computer room as usual .

Step S222, save the acquired ambient temperature in the computer room and the CPU temperature of each server as historical data of the ambient temperature of the computer room and the CPU temperature of each server, respectively.

It should be noted that, in this embodiment of the present invention, step S222 is performed after step S220. In other alternative embodiments, step S222 may also be performed at any step after step S202.

It should be noted that, in practical applications, all the above-mentioned optional embodiments may be combined arbitrarily to form optional embodiments of the present invention, which will not be repeated here.

Based on the same inventive concept, an embodiment of the present invention also provides a temperature monitoring-based equipment room abnormality processing device, which is used to support the temperature monitoring-based equipment room abnormality processing method provided by any one of the above embodiments or a combination thereof. FIG. 3 shows a schematic structural diagram of an apparatus for processing abnormality in a computer room based on temperature monitoring according to an embodiment of the present invention. Referring to FIG. 3 , the apparatus may at least include: a temperature acquisition module 310 , a computer room judgment module 320 , a server judgment module 330 , a server processing module 340 , and a computer room processing module 350 .

The apparatus for processing an abnormality in a computer room based on temperature monitoring proposed by the embodiment of the present invention may be implemented by specifying a monitoring management platform. Preferably, the designated monitoring management platform is the IPMI platform.

Now introduce the functions of each component or device and the connection relationship between each part of the temperature monitoring-based device room abnormality processing device according to the embodiment of the present invention:

The temperature acquisition module 310 is adapted to acquire temperature-related CPU indicators of each server in the computer room and the ambient temperature in the computer room.

The computer room judgment module 320 is connected to the temperature acquisition module 310 and is adapted to judge whether the acquired ambient temperature of the computer room is within the first preset temperature range, and if so, it is determined that the computer room is operating normally.

The server determination module 330 is connected to the temperature acquisition module 310 and the computer room determination module 320, and is adapted to, if the acquired ambient temperature of the computer room is not within the first preset temperature range, according to the acquired temperature-related CPU indicators of each server, Determine whether there is an abnormal server.

The server processing module 340 is connected to the server judgment module 330, and is adapted to perform abnormality processing on the abnormally running server if there is an abnormally running server.

The computer room processing module 350 is connected to the server judging module 330, and is adapted to determine that the computer room is abnormally running if there is no abnormally running server, and process the abnormality of the computer room.

In an optional embodiment, the temperature-related CPU indicators of each server include the CPU temperature of each server; in this case, correspondingly, the server determination module 330 is further adapted to:

Determine whether the obtained CPU temperature of each server is within the second preset temperature range;

If the obtained CPU temperature of a certain server is not within the second preset temperature range, it is determined that the server whose CPU temperature is not within the second preset temperature range operates abnormally;

If the obtained CPU temperatures of the servers are all within the second preset temperature range, it is determined that there is no abnormally running server.

In an optional embodiment, the temperature-related CPU indicators of each server further include the CPU idle time percentage of each server; in this case, correspondingly, the server determination module 330 is further adapted to:

If the obtained CPU temperature of a certain server is not within the second preset temperature range, then determine whether the CPU idle time percentage of the server whose CPU temperature is not within the second preset temperature range is higher than the preset threshold;

If so, it is determined that the server whose CPU temperature is not within the second preset temperature range operates abnormally.

In an optional embodiment, the first preset temperature range is an artificially set temperature range, or a temperature range calculated according to historical data of the ambient temperature of the equipment room. The second preset temperature range is an artificially set temperature range, or a temperature range calculated according to historical data of the CPU temperature of the server.

In an optional embodiment, as shown in FIG. 4 , the apparatus for processing abnormality in a computer room based on temperature monitoring shown in FIG. 3 may further include a first data saving module 460 and a first change curve drawing module 470 . The first data storage module 460 is connected to the temperature acquisition module 310, and is adapted to save the acquired ambient temperature in the computer room as historical data of the ambient temperature of the computer room. The first change curve drawing module 470 is connected to the first data saving module 460, and is adapted to draw the historical change curve of the computer room ambient temperature according to the stored historical data of the computer room ambient temperature, and record the abnormal change segment in the historical change curve of the computer room ambient temperature. Corresponding exception events and characteristic properties of exception events.

At this time, correspondingly, the computer room processing module 350 is further adapted to:

Compare whether the current change trend of the ambient temperature of the computer room is the same as the change trend of the abnormal change segment in the historical change curve of the ambient temperature of the computer room;

If yes, then according to the abnormal event and the characteristic attribute of the abnormal event corresponding to the abnormal change segment in the historical change curve of the environmental temperature of the computer room, the abnormal processing is performed on the computer room.

In an optional embodiment, as shown in FIG. 4 , the apparatus for processing abnormality in a computer room based on temperature monitoring shown in FIG. 3 may further include a second data saving module 480 and a second change curve drawing module 490 . The second data saving module 480 is connected to the temperature obtaining module 310, and is adapted to save the obtained CPU temperature of each server as historical data of the CPU temperature of each server. The second change curve drawing module 490 is connected to the second data saving module 480, and is adapted to draw the CPU temperature historical change curve of each server according to the stored historical data of the CPU temperature of each server, and record the CPU temperature historical change curve with the CPU temperature historical change curve. The abnormal event corresponding to the abnormal change segment and the characteristic attribute of the abnormal event.

At this time, correspondingly, the server processing module 340 is further adapted to:

Compare whether the currently obtained change trend of the CPU temperature of the abnormally running server is the same as the change trend of the abnormal change segment in the CPU temperature historical change curve of the server;

If yes, then according to the abnormal event corresponding to the abnormal change segment in the CPU temperature historical change curve and the characteristic attribute of the abnormal event, abnormal processing is performed on the abnormally running server.

Further, the characteristic attribute of the abnormal event mentioned above includes the processing priority of the abnormal event.

In an optional embodiment, as shown in FIG. 4 , the apparatus for processing abnormality in a computer room based on temperature monitoring shown in FIG. 3 may further include a module 500 for determining abnormality distribution. The abnormality distribution determining module 500 is connected to the server judging module 330 and the server processing module 340, and is adapted to determine the distribution of abnormally running servers in the computer room. If two or more adjacent servers run abnormally, the abnormality distribution determining module 500 triggers the server processing module 340 to preferentially perform abnormality processing on the two or more adjacent servers.

In an optional embodiment, performing abnormality processing on the abnormally operating server includes at least one of the following: switching the abnormally operating server to a standby server; alarming; adjusting the temperature of the air conditioner in the equipment room; shutting down the abnormally operating server for cooling.

In an optional embodiment, the abnormal processing of the computer room includes at least one of the following: switching the computer room to a backup computer room; alarming; automatically performing physical fire extinguishing;

Based on the same inventive concept, an embodiment of the present invention also provides a computer storage medium. The computer storage medium stores computer program code, and when the computer program code runs on the computing device, causes the computing device to execute the temperature monitoring-based processing method for a computer room abnormality according to any one of the above embodiments or a combination thereof.

Based on the same inventive concept, an embodiment of the present invention further provides a computing device. The computing device may include:

processor; and

memory in which computer program code is stored;

When the computer program code is executed by the processor, it causes the computing device to execute the method for processing an abnormality of a computer room based on temperature monitoring according to any one of the above embodiments or a combination thereof.

According to any one of the foregoing optional embodiments or a combination of multiple optional embodiments, the embodiments of the present invention can achieve the following beneficial effects:

The method and device for processing abnormality in a computer room based on temperature monitoring proposed by the embodiments of the present invention first acquire temperature-related CPU indicators of each server in the computer room and the ambient temperature in the computer room; and then determine whether the computer room is running according to the acquired ambient temperature of the computer room If it is normal, if not, then further judge whether there is an abnormally running server according to the obtained temperature-related CPU indicators of each server; further, if there is an abnormally running server, perform abnormal processing on the abnormally running server, if not If the server runs abnormally, the computer room will be processed abnormally. By directly checking and processing the abnormal conditions of the computer room and the server according to the temperature information of the computer room and the server, the response time is reduced, thereby reducing losses, and at the same time reducing manual intervention, thereby reducing labor costs.

Further, when judging whether the server is abnormal, the judgment is made in combination with the CPU temperature and the CPU idle time percentage of the server, so that the abnormality of the server can be more accurately checked.

Further, save the obtained computer room ambient temperature and server CPU temperature as historical data, and draw the computer room ambient temperature historical change curve and the server CPU temperature historical change curve respectively according to the historical data of the computer room ambient temperature and the server CPU temperature, and Record the abnormal event corresponding to the abnormal change segment in the historical change curve of the computer room ambient temperature and the characteristic attribute of the abnormal event, as well as the abnormal event corresponding to the abnormal change segment in the CPU temperature historical change curve and the characteristic attribute of the abnormal event. In this way, when abnormal processing is performed on the computer room and/or the server, it is possible to compare whether the change trend of the currently obtained environmental temperature of the computer room is the same as the change trend of the abnormal change segment in the historical change curve of the environmental temperature of the computer room, and/or compare the current Whether the change trend of the obtained CPU temperature of the abnormally running server is the same as the change trend of the abnormal change segment in the historical change curve of the CPU temperature of the server is used to determine the processing priority of abnormal events in the computer room and/or abnormal events of the server, and then , abnormal processing can be performed on the computer room and/or server according to the processing priority, so as to prevent huge losses caused by the emergency abnormal event not being processed in time, and improve the disaster recovery capability of the computer room.

Those skilled in the art can clearly understand that, for the specific working processes of the systems, devices and units described above, reference may be made to the corresponding processes in the foregoing method embodiments, and for the sake of brevity, details are not described herein.

In addition, each functional unit in each embodiment of the present invention may be physically independent of each other, or two or more functional units may be integrated together, or all functional units may be integrated into one processing unit. The above-mentioned integrated functional units may be implemented in the form of hardware, and may also be implemented in the form of software or firmware.

Those skilled in the art can understand that: if the integrated functional unit is implemented in the form of software and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present invention or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, which includes several instructions to make a computer A computing device (such as a personal computer, a server, or a network device, etc.) executes all or part of the steps of the methods described in the embodiments of the present invention when running the instructions. The aforementioned storage medium includes: U disk, removable hard disk, read only memory (ROM), random access memory (RAM), magnetic disk or optical disk and other media that can store program codes.

Alternatively, all or part of the steps of implementing the foregoing method embodiments may be accomplished by program instructions related to hardware (such as a personal computer, a server, or a computing device such as a network device), and the program instructions may be stored in a computer-readable storage In the medium, when the program instructions are executed by the processor of the computing device, the computing device executes all or part of the steps of the methods described in the embodiments of the present invention.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, but not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: Within the spirit and principle of the present invention, it is still possible to modify the technical solutions recorded in the foregoing embodiments, or to perform equivalent replacements for some or all of the technical features; and these modifications or replacements do not make the corresponding technical solutions deviate protection scope of the present invention.

According to an aspect of the embodiments of the present invention, A1. A temperature monitoring-based processing method for abnormality in a computer room is provided, including:

Obtain the temperature-related CPU indicators of each server in the computer room and the ambient temperature in the computer room;

Determine whether the obtained ambient temperature of the computer room is within the first preset temperature range, and if so, determine that the computer room is operating normally;

If not, according to the obtained temperature-related CPU indicators of each server, determine whether there is an abnormally running server;

If there is a server running abnormally, perform abnormal processing on the server running abnormally;

If there is no server running abnormally, it is determined that the computer room is running abnormally, and the abnormality processing is performed on the computer room.

A2. The method according to A1, wherein the temperature-related CPU indicators of each server include the CPU temperature of each server;

According to the obtained temperature-related CPU indicators of each server, determine whether there are abnormal servers, including:

Determine whether the obtained CPU temperature of each server is within the second preset temperature range;

If the obtained CPU temperature of a certain server is not within the second preset temperature range, it is determined that the server whose CPU temperature is not within the second preset temperature range operates abnormally;

If the obtained CPU temperature of each server is within the second preset temperature range, it is determined that there is no abnormally running server.

A3. The method according to A2, wherein the temperature-related CPU indicators of each server further include the CPU idle time percentage of each server;

If the obtained CPU temperature of a certain server is not within the second preset temperature range, it is determined that the server whose CPU temperature is not within the second preset temperature range operates abnormally, including:

If the obtained CPU temperature of a certain server is not within the second preset temperature range, determine whether the CPU idle time percentage of the server whose CPU temperature is not within the second preset temperature range is higher than a preset threshold;

If so, it is determined that the server whose CPU temperature is not within the second preset temperature range operates abnormally.

A4. The method according to A2 or A3, wherein the first preset temperature range is an artificially set temperature range, or a temperature range calculated according to historical data of the ambient temperature of the computer room;

The second preset temperature range is an artificially set temperature range, or a temperature range calculated according to historical data of the CPU temperature of the server.

A5. The method according to any one of A2-A4, wherein, further comprising:

Save the obtained ambient temperature in the computer room as the historical data of the ambient temperature in the computer room;

Draw a historical change curve of the environmental temperature of the computer room according to the stored historical data of the environmental temperature of the computer room, and record the abnormal event corresponding to the abnormal change segment in the historical change curve of the environmental temperature of the computer room and the characteristic attribute of the abnormal event;

at this time,

Exception handling is performed on the computer room, including:

Compare whether the currently obtained change trend of the ambient temperature of the computer room is the same as the change trend of the abnormal change segment in the historical change curve of the ambient temperature of the computer room;

If yes, then according to the abnormal event corresponding to the abnormal change segment and the characteristic attribute of the abnormal event, perform abnormal processing on the computer room.

A6. The method according to any one of A2-A5, wherein, further comprising:

Save the obtained CPU temperature of each server as the historical data of the CPU temperature of each server;

Draw the CPU temperature historical change curve of each server according to the stored historical data of the CPU temperature of each server, and record the abnormal event corresponding to the abnormal change segment in the CPU temperature historical change curve and the characteristic attribute of the abnormal event;

at this time,

Perform exception handling on the abnormally running server, including:

Compare whether the currently obtained change trend of the CPU temperature of the abnormally running server is the same as the change trend of the abnormal change segment in the CPU temperature historical change curve of the server;

If it is, according to the abnormal event corresponding to the abnormal change segment and the characteristic attribute of the abnormal event, perform abnormal processing on the abnormally running server.

A7. The method according to A5 or A6, wherein the characteristic attribute of the abnormal event includes a processing priority of the abnormal event.

A8. The method according to any one of A1-A7, wherein, further comprising:

determining the distribution of abnormally running servers in the computer room;

If two or more adjacent servers run abnormally, the abnormality processing is preferentially performed on the two or more adjacent servers.

A9. The method according to any one of A1-A8, wherein performing exception processing on the abnormally running server includes at least one of the following:

Switch the abnormally running server to the standby server;

Call the police;

adjusting the temperature of the air conditioner in the machine room;

Shut down the abnormal server to cool down.

A10. The method according to any one of A1-A9, wherein performing exception handling on the computer room includes at least one of the following:

switching the computer room to a spare computer room;

Call the police;

Automatic physical fire extinguishing;

Troubleshoot air conditioning equipment.

According to another aspect of the embodiments of the present invention, B11. An apparatus for processing abnormality in a computer room based on temperature monitoring is also provided, including:

a temperature acquisition module, suitable for acquiring temperature-related CPU indicators of each server in the computer room and the ambient temperature in the computer room;

a computer room judgment module, adapted to judge whether the acquired ambient temperature of the computer room is within the first preset temperature range, and if so, determine that the computer room is operating normally;

The server judging module is adapted to judge whether there is an abnormally running server according to the obtained temperature-related CPU indicators of each server if the obtained ambient temperature of the computer room is not within the first preset temperature range;

A server processing module, adapted to perform abnormality processing on the abnormally operating server if there is an abnormally operating server; and

The computer room processing module is adapted to determine that the computer room is abnormally running if there is no abnormally running server, and process the abnormality of the computer room.

B12. The apparatus according to B11, wherein the temperature-related CPU indicators of each server include the CPU temperature of each server;

The server judgment module is also suitable for:

Determine whether the obtained CPU temperature of each server is within the second preset temperature range;

If the obtained CPU temperature of a certain server is not within the second preset temperature range, it is determined that the server whose CPU temperature is not within the second preset temperature range operates abnormally;

If the obtained CPU temperature of each server is within the second preset temperature range, it is determined that there is no abnormally running server.

B13. The apparatus according to B12, wherein the temperature-related CPU indicators of each server further include the CPU idle time percentage of each server;

The server judgment module is also suitable for:

If the obtained CPU temperature of a certain server is not within the second preset temperature range, determine whether the CPU idle time percentage of the server whose CPU temperature is not within the second preset temperature range is higher than a preset threshold;

If so, it is determined that the server whose CPU temperature is not within the second preset temperature range operates abnormally.

B14. The device according to B12 or B13, wherein the first preset temperature range is an artificially set temperature range, or a temperature range calculated according to historical data of the ambient temperature of the computer room;

The second preset temperature range is an artificially set temperature range, or a temperature range calculated according to historical data of the CPU temperature of the server.

B15. The device according to any one of B12-B14, further comprising:

The first data storage module is adapted to save the acquired ambient temperature in the computer room as historical data of the ambient temperature of the computer room;

The first variation curve drawing module is adapted to draw the historical variation curve of the ambient temperature of the computer room according to the stored historical data of the ambient temperature of the computer room, and record the abnormal events corresponding to the abnormal variation segments in the historical variation curve of the ambient temperature of the computer room and the Characteristics of abnormal events;

at this time,

The computer room processing module is also suitable for:

Compare whether the currently obtained change trend of the ambient temperature of the computer room is the same as the change trend of the abnormal change segment in the historical change curve of the ambient temperature of the computer room;

If yes, then according to the abnormal event corresponding to the abnormal change segment and the characteristic attribute of the abnormal event, perform abnormal processing on the computer room.

B16. The device according to any one of B12-B15, further comprising:

The second data saving module is adapted to save the obtained CPU temperature of each server as the historical data of the CPU temperature of each server;

The second change curve drawing module is adapted to draw the CPU temperature historical change curve of each server according to the stored historical data of the CPU temperature of each server, and record the abnormal event corresponding to the abnormal change segment in the CPU temperature historical change curve and the characteristic properties of said anomalous event;

at this time,

The server processing module is also adapted to:

Compare whether the currently obtained change trend of the CPU temperature of the abnormally running server is the same as the change trend of the abnormal change segment in the CPU temperature historical change curve of the server;

If it is, according to the abnormal event corresponding to the abnormal change segment and the characteristic attribute of the abnormal event, perform abnormal processing on the abnormally running server.

B17. The apparatus according to B15 or B16, wherein the characteristic attribute of the abnormal event includes a processing priority of the abnormal event.

B18. The device according to any one of B11-B17, further comprising:

an abnormality distribution determining module, adapted to determine the distribution of abnormally running servers in the computer room;

If two or more adjacent servers run abnormally, the server processing module is triggered to preferentially process the abnormality on the two or more adjacent servers.

B19. The apparatus according to any one of B11-B18, wherein performing abnormal processing on the abnormally running server includes at least one of the following:

Switch the abnormally running server to the standby server;

Call the police;

adjusting the temperature of the air conditioner in the machine room;

Shut down the abnormal server to cool down.

B20. The device according to any one of B11-B19, wherein performing abnormal processing on the computer room includes at least one of the following:

switching the computer room to a spare computer room;

Call the police;

Automatic physical fire extinguishing;

Troubleshoot air conditioning equipment.

According to yet another aspect of the embodiments of the present invention, there is also provided C21. A computer storage medium, the computer storage medium stores computer program code, when the computer program code is executed on a computing device, causes the computing device Execute the method for processing the abnormality of the equipment room based on temperature monitoring according to any one of A1-A10.

According to yet another aspect of the embodiments of the present invention, D22. A computing device is also provided, comprising:

processor; and

memory in which computer program code is stored;

When the computer program code is executed by the processor, it causes the computing device to execute the method for processing an abnormality in a computer room based on temperature monitoring according to any one of A1-A10.

Claims (10)

1. A method for processing abnormality in a computer room based on temperature monitoring, comprising: Obtain the temperature-related CPU indicators of each server in the computer room and the ambient temperature in the computer room; Determine whether the obtained ambient temperature of the computer room is within the first preset temperature range, and if so, determine that the computer room is operating normally; If not, according to the obtained temperature-related CPU indicators of each server, determine whether there is an abnormally running server; If there is a server running abnormally, perform abnormal processing on the server running abnormally; If there is no server running abnormally, it is determined that the computer room is running abnormally, and the abnormality processing is performed on the computer room. 2. The method according to claim 1, wherein the temperature-related CPU indicators of each server comprise the CPU temperature of each server; According to the obtained temperature-related CPU indicators of each server, determine whether there are abnormal servers, including: Determine whether the obtained CPU temperature of each server is within the second preset temperature range; If the obtained CPU temperature of a certain server is not within the second preset temperature range, it is determined that the server whose CPU temperature is not within the second preset temperature range operates abnormally; If the obtained CPU temperature of each server is within the second preset temperature range, it is determined that there is no abnormally running server. 3. The method according to claim 2, wherein the temperature-related CPU indicators of each server further comprise the CPU idle time percentage of each server; If the obtained CPU temperature of a certain server is not within the second preset temperature range, it is determined that the server whose CPU temperature is not within the second preset temperature range operates abnormally, including: If the obtained CPU temperature of a certain server is not within the second preset temperature range, determine whether the CPU idle time percentage of the server whose CPU temperature is not within the second preset temperature range is higher than a preset threshold; If so, it is determined that the server whose CPU temperature is not within the second preset temperature range operates abnormally. 4. The method according to claim 2 or 3, wherein the first preset temperature range is an artificially set temperature range or a temperature range calculated according to historical data of the ambient temperature of the computer room; The second preset temperature range is an artificially set temperature range, or a temperature range calculated according to historical data of the CPU temperature of the server. 5. The method of any one of claims 2-4, wherein further comprising: Save the obtained ambient temperature in the computer room as the historical data of the ambient temperature in the computer room; Draw a historical change curve of the environmental temperature of the computer room according to the stored historical data of the environmental temperature of the computer room, and record the abnormal event corresponding to the abnormal change segment in the historical change curve of the environmental temperature of the computer room and the characteristic attribute of the abnormal event; at this time, Exception handling is performed on the computer room, including: Compare whether the currently obtained change trend of the ambient temperature of the computer room is the same as the change trend of the abnormal change segment in the historical change curve of the ambient temperature of the computer room; If yes, then according to the abnormal event corresponding to the abnormal change segment and the characteristic attribute of the abnormal event, perform abnormal processing on the computer room. 6. The method of any one of claims 2-5, wherein further comprising: Save the obtained CPU temperature of each server as the historical data of the CPU temperature of each server; Draw the CPU temperature historical change curve of each server according to the stored historical data of the CPU temperature of each server, and record the abnormal event corresponding to the abnormal change segment in the CPU temperature historical change curve and the characteristic attribute of the abnormal event; at this time, Perform exception handling on the abnormally running server, including: Compare whether the currently obtained change trend of the CPU temperature of the abnormally running server is the same as the change trend of the abnormal change segment in the CPU temperature historical change curve of the server; If it is, according to the abnormal event corresponding to the abnormal change segment and the characteristic attribute of the abnormal event, perform abnormal processing on the abnormally running server. 7. The method of claim 5 or 6, wherein the characteristic attribute of the abnormal event includes a processing priority of the abnormal event. 8. A processing device for abnormality in a computer room based on temperature monitoring, comprising: a temperature acquisition module, suitable for acquiring temperature-related CPU indicators of each server in the computer room and the ambient temperature in the computer room; a computer room judgment module, adapted to judge whether the acquired ambient temperature of the computer room is within the first preset temperature range, and if so, determine that the computer room is operating normally; The server judging module is adapted to judge whether there is an abnormally running server according to the obtained temperature-related CPU indicators of each server if the obtained ambient temperature of the computer room is not within the first preset temperature range; A server processing module, adapted to perform abnormality processing on the abnormally operating server if there is an abnormally operating server; and The computer room processing module is adapted to determine that the computer room is abnormally running if there is no abnormally running server, and process the abnormality of the computer room. 9. A computer storage medium storing computer program code which, when executed on a computing device, causes the computing device to perform the execution of any one of claims 1-7 The method for handling abnormality in the equipment room based on temperature monitoring. 10. A computing device comprising: processor; and memory in which computer program code is stored; When the computer program code is executed by the processor, it causes the computing device to execute the method for processing an abnormality of a computer room based on temperature monitoring according to any one of claims 1-7.

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