An intelligent monitoring and management system based on data analysis

Abstract

The present invention discloses an intelligent monitoring and management system based on data analysis, which belongs to the field of monitoring and management technology, and includes: a heat dissipation module, which is used to dissipate heat for computer equipment, and is equipped with an automatic adjustment unit, which is used to adjust the heat dissipation power of the heat dissipation module; a data acquisition module, which is used to collect parameter information of the computer equipment at work; a data analysis management platform, which analyzes the acquired parameter information, thereby generating an operating status value, and generates corresponding control instructions according to the generated operating status value; and a control management module, which adjusts the heat dissipation power of the heat dissipation module according to the generated control instructions. The present invention can judge whether the overall condition of the computer equipment is abnormal according to the operating status value generated by the computer equipment within a period of detection time, so as to timely repair and maintain the abnormal computer equipment to ensure the normal operation of the computer equipment.

Description

Technical Field

[0001] The present invention belongs to the technical field of monitoring management, and in particular relates to an intelligent monitoring management system based on data analysis. Background Art

[0002] When computer equipment is working, its temperature will increase as the running time increases. The temperature increase will affect the performance of the computer equipment, thereby affecting the computer's working efficiency. Existing computer equipment will be equipped with a heat dissipation component for heat dissipation, and an adjustment threshold is set inside. When the temperature exceeds the set temperature adjustment threshold, the heat dissipation component will increase the heat dissipation power to cool the computer equipment to ensure the computer's working efficiency.

[0003] However, since the temperature adjustment threshold set by the system is based on experience, adjustments will only be made when the temperature exceeds the threshold. No adjustments will be made when the temperature is lower than the threshold. If the temperature is always close to the threshold, it will also affect the operating efficiency of the computer equipment. In addition, when adjusting the power of the heat dissipation components of the computer equipment, it can only be adjusted according to the preset gear size and cannot be adjusted according to the actual temperature conditions. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent monitoring and management system based on data analysis to solve the problems faced in the above-mentioned background technology.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] An intelligent monitoring and management system based on data analysis, the monitoring and management system comprising:

[0007] A heat dissipation module, the heat dissipation module is used to dissipate heat for computer equipment, and an automatic adjustment unit is installed on the heat dissipation module, and the automatic adjustment unit is used to adjust the heat dissipation power of the heat dissipation module;

[0008] A data acquisition module, the data acquisition module is used to collect parameter information of the computer device during operation, the parameter information includes temperature information and operating speed information of the device;

[0009] A data analysis management platform, which is used to analyze the acquired parameter information to generate operating status values, and generate corresponding control instructions according to the generated operating status values;

[0010] A regulation and management module is used to adjust the heat dissipation power of the heat dissipation module according to the generated control instruction.

[0011] Furthermore, the method for the data analysis management platform to generate the operating status value is:

[0012] Every interval period , obtain the temperature information and running speed information of computer equipment, and draw up a temperature change curve over time And the running speed changing with time curve ;

[0013] The proposed temperature change curve The curve of standard temperature change over time compared with the system preset Compare the proposed running speed with time curve Curve of the standard operating speed preset by the system over time Compare;

[0014] In the interval period The proposed temperature-time curve The following is the curve of the standard temperature change over time with the system preset The area enclosed above is , the proposed running speed vs. time curve The above curve shows the standard operating speed changing with time. The area enclosed below is ;

[0015] By formula Find the operating status value ;

[0016] in, , as well as is the preset scale factor, The temperature operating speed corresponds to different status values.

[0017] Furthermore, the control instructions include a lifting instruction, a lowering instruction and a holding instruction.

[0018] Furthermore, the method for generating the control instruction is:

[0019] The health value that will be obtained The system preset operating status threshold range To compare:

[0020] when When , a hold instruction is generated;

[0021] when When , a lowering instruction is generated;

[0022] when , generates a promotion instruction.

[0023] Furthermore, the temperature operation speed corresponds to the difference condition value The method to obtain it is:

[0024] By formula Obtain the temperature running speed corresponding to different conditions ;

[0025] in, is the start time of the interval period, is the end time of the interval period, and , The temperature control running speed function preset for the system, The standard reference value preset for the system.

[0026] Furthermore, the method in which the control management module performs adjustment according to the adjustment instruction is:

[0027] When generating a reduction instruction, by the formula Adjust the heat dissipation power of the heat dissipation module to ;

[0028] When generating a promotion instruction, the formula Adjust the heat dissipation power of the heat dissipation module to ;

[0029] When the hold command is generated, the heat dissipation power of the heat dissipation module is maintained at ;

[0030] in, is the current heat dissipation power of the heat dissipation module, is the maximum power allowed to be added to the system, is the maximum power reduction allowed by the system, is the power conversion coefficient.

[0031] Furthermore, the data analysis management platform also analyzes the overall status of the computer device according to the generated operating status value, and the analysis method is:

[0032] Select a detection time, which contains n intervals, and obtain the operating status values ​​obtained in each interval under the detection time. ;

[0033] By formula Derive the stability factor of computer equipment ;

[0034] when , the overall condition of the computer equipment is judged to be poor;

[0035] in, is the number of promotion instructions generated during the detection time, The preset stability coefficient threshold of the system.

[0036] Beneficial effects of the present invention:

[0037] The present invention can make a comprehensive analysis based on the temperature changes, operating speed changes and the relative situation between temperature and operating speed of the computer equipment during operation to determine whether the working efficiency of the computer equipment is normal. In this way, the potential operating conditions can be judged to make the detection results more accurate, so as to ensure the high efficiency of the working efficiency of the computer equipment.

[0038] The present invention can determine whether the overall condition of the computer device is abnormal based on the operating condition value generated by the computer device within a period of detection time, so as to timely repair and maintain the abnormal computer device to ensure the normal operation of the computer device.

[0039] The present invention can accurately adjust the heat dissipation power of the heat dissipation module according to the equipment's own conditions and the operating status value currently generated by the equipment production.

[0040] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0042] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0043] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] In one embodiment, Figure 1 As shown, an intelligent monitoring and management system based on data analysis is disclosed, and the monitoring and management system mainly includes the following modules:

[0045] A heat dissipation module, which is used to dissipate heat from computer equipment. An automatic adjustment unit is installed on the heat dissipation module, which is used to adjust the heat dissipation power of the heat dissipation module;

[0046] The data acquisition module is used to collect parameter information of the computer equipment during operation, including the temperature information and the running speed information of the equipment;

[0047] The data analysis management platform is used to analyze the acquired parameter information to generate operating status values, and generate corresponding control instructions according to the generated operating status values;

[0048] The regulation and management module adjusts the heat dissipation power of the heat dissipation module according to the generated control instructions.

[0049] Through the above technical solution, the present application obtains the temperature information and running speed information of the computer equipment within a period of time, and analyzes it through the data analysis management platform to determine the operating status of the computer equipment, thereby adjusting the heat dissipation power of the computer equipment. It can make a comprehensive analysis based on the temperature changes and running speed changes within a period of time to determine the operating status of the computer equipment. In this way, it can be analyzed based on the accumulated status of the computer equipment within a period of time, thereby obtaining the operating status of the computer equipment, and adjusting the computer heat dissipation power accordingly according to the operating status, which can make the detection result more accurate, thereby ensuring the work efficiency of the computer. At the same time, the present application also generates control instructions for different conditions according to the generated operating status value, and accurately adjusts the heat dissipation power according to the control instructions through the control management module, which can save energy and accurately adjust the heat dissipation power according to the computer equipment status.

[0050] As an embodiment of the present invention, the method for the data analysis management platform to generate the operating status value is:

[0051] Every interval period , obtain the temperature information and running speed information of computer equipment, and draw up a temperature change curve over time And the running speed changing with time curve ;

[0052] The proposed temperature change curve The curve of standard temperature change over time compared with the system preset Compare the proposed running speed with time curve Curve of the system preset standard operating speed changing with time Compare;

[0053] In the interval period The proposed temperature-time curve The following is the curve of the standard temperature change over time with the system preset The area enclosed above is , the proposed running speed vs. time curve The above curve shows the standard operating speed changing with time. The area enclosed below is ;

[0054] By formula Find the operating status value ;

[0055] in, , as well as is the preset scale factor, The temperature operating speed corresponds to different status values;

[0056] Temperature running speed corresponding to different status values The method of obtaining is: through the formula Obtain the temperature running speed corresponding to different conditions ;

[0057] in, is the start time of the interval period, is the end time of the interval period, and , is the end time of the interval period, and The standard reference value preset for the system.

[0058] Through the above technical solution, this embodiment provides a specific method for the data analysis management platform to generate the operating status value according to the acquired parameter information. Generally speaking, when the computer's working efficiency slows down, its temperature will rise and the operating speed will slow down. The change in operating speed is related to the temperature. Therefore, this embodiment generates the operating status value every interval period. , obtain the temperature information and running speed information of computer equipment, and draw up a temperature change curve over time And the running speed changing with time curve , and then the proposed temperature change curve The curve of standard temperature change over time compared with the system preset Compare the proposed running speed with time curve Curve of the standard operating speed preset by the system over time Compare, in the interval period The proposed temperature-time curve The following is the curve of the standard temperature change over time with the system preset The area enclosed above is , the proposed running speed vs. time curve The above curve shows the standard operating speed changing with time. The area enclosed below is , so that through the formula Find the operating status value of computer equipment , in the formula It indicates the cumulative situation that the temperature of the computer equipment exceeds the preset standard temperature during the interval period. The larger the value, the worse the computer equipment is running; Indicates the cumulative situation that the operating speed of the computer equipment is lower than the preset standard operating speed during the interval period. The larger the value, the worse the computer equipment is running. It indicates the relative difference between temperature and running speed during the interval period. The larger the value, the worse the computer equipment is running. Therefore, a comprehensive analysis is performed to obtain the computer equipment running status value. The temperature running speed corresponds to different state values The method of obtaining it is through the formula It turns out that the formula It can reflect the ratio of the actual operating speed change to the actual temperature change and the standard operating speed and temperature change in the interval period, and then through the formula Obtain different conditions, and thus obtain the temperature running speed corresponding to the different conditions. Obviously, when the temperature running speed corresponds to the different conditions The larger the value, the worse the computer equipment is running. In this way, a comprehensive analysis can be performed based on the temperature changes, running speed changes, and the relative situation between temperature and running speed during the operation of the computer equipment to determine whether the computer equipment is working normally. This can determine the potential operating conditions and make the test results more accurate, so as to ensure the high efficiency of the computer equipment.

[0059] It should be noted that in the above technical solution, the interval period is set The system preset standard temperature change curve over time can be determined manually according to the actual situation. , The curve of the standard running speed preset by the system changing with time , system preset temperature control running speed function All can be formulated based on historical data combined with experimental data, and the preset proportional coefficient , , And the standard reference value preset by the system It can be determined based on empirical data, which will not be described in detail here.

[0060] As an embodiment of the present invention, the method for generating a control instruction is as follows: the control instruction includes a lifting instruction, a lowering instruction, and a holding instruction;

[0061] The health value that will be obtained The system preset operating status threshold range To compare:

[0062] when When , a hold instruction is generated;

[0063] when When , a lowering instruction is generated;

[0064] when , generates a promotion instruction.

[0065] Through the above technical solution, this embodiment provides three control instruction generation methods, the three control instructions include a lifting instruction, a lowering instruction and a maintaining instruction, and the obtained operating status value The system preset operating status threshold range Compare the system's preset operating status threshold range It can be determined based on historical data. When , it means that the computer equipment is running well at this time, then a hold instruction is generated. When the operating status value is very small, it means that the computer equipment is running well, so there is no need for too many cooling instructions, and a reduction instruction is generated. When the operating status value is large, it means that the operating status of the computer equipment is poor, and the heat dissipation power needs to be increased to restore the equipment to normal in time, and an improvement instruction is generated.

[0066] As an embodiment of the present invention, the method for the control management module to adjust according to the adjustment instruction is:

[0067] When generating a reduction instruction, by the formula Adjust the heat dissipation power of the heat dissipation module to ;

[0068] When generating a promotion instruction, the formula Adjust the heat dissipation power of the heat dissipation module to ;

[0069] When the hold command is generated, the heat dissipation power of the heat dissipation module is maintained at ;

[0070] Among them, is the current heat dissipation power of the heat dissipation module, is the maximum power that the system allows to increase, is the maximum power that the system allows to decrease, is the power conversion coefficient.

[0071] Through the above technical solution, this embodiment provides a specific method for the regulation and management module to adjust the heat dissipation power according to the adjustment instruction. When a decrease instruction is generated, the heat dissipation power needs to be reduced. Specifically, through the formula the heat dissipation power of the heat dissipation module is adjusted to . It can be seen from the formula that when the larger the value of, the better the operating condition of the computer device, and the more the heat dissipation power is reduced. In order to ensure the operation of the device, its heat dissipation power cannot be infinitely reduced. Therefore, a maximum power that the system allows to decrease is set according to the device's own situation for limitation. In this way, the current heat dissipation power can be adjusted to according to the operating condition value of the current computer device; similarly, when an increase instruction is generated, the heat dissipation power needs to be increased accordingly. Specifically, through the formula the heat dissipation power of the heat dissipation module is adjusted to . It can be seen from the formula that when the larger the value of, the worse the operating condition of the computer device, and the more the corresponding increased heat dissipation power is. Similarly, the heat dissipation power cannot be infinitely increased, so a maximum power that the system allows to increase is set for limitation. In this way, the current heat dissipation power can be adjusted to according to the operating condition value of the current computer device. Through this method, the heat dissipation power of the heat dissipation module can be accurately adjusted according to the device's own situation and the operating condition value of the device at present.

[0072] In the above technical solution, the maximum power that the system allows to increase and the maximum power that the system allows to decrease can be determined according to the device's own situation in combination with the factory data. The power conversion coefficient can be determined after analyzing the data in relevant scenarios in big data, which will not be elaborated here.

[0073] As an implementation scheme of the present invention, the data analysis and management platform also analyzes the overall condition of the computer device according to the situation of generating the operating condition value. The analysis method is:

[0074] Select a detection time, which contains n intervals, and obtain the operating status values ​​of each interval under the detection time. ;

[0075] By formula Derive the stability factor of computer equipment ;

[0076] when , the overall condition of the computer equipment is judged to be poor;

[0077] in, is the number of promotion instructions generated during the detection time, The preset stability coefficient threshold of the system.

[0078] Through the above technical solution, this embodiment provides a method for the data analysis management platform to analyze the overall status of the computer device according to the situation of generating the operating status value. First, a detection time is selected, and the detection time contains n interval periods. The operating status values ​​obtained in each interval period under the detection time are obtained. , and then by the formula Derive the stability factor of computer equipment , according to the stability factor Size is used to judge, from the formula It can be seen that the stability of the computer equipment during the detection time is greater when the value is larger, indicating that the volatility is greater, and the computer equipment is more unstable, and the formula It means that there is a working abnormality during the detection time. The larger the value, the worse the overall condition of the computer equipment. Therefore, the formula Comprehensive analysis to obtain the stability coefficient of computer equipment , and the stability coefficient obtained The stability factor threshold preset by the system For comparison, the system preset stability coefficient threshold It can be determined based on empirical data. By using this method, the overall condition of the computer equipment can be judged according to the operating status value generated by the computer equipment within a period of detection time, so as to timely perform maintenance on the computer equipment to ensure the normal operation of the computer equipment.

[0079] The present invention can make a comprehensive analysis based on the temperature change, running speed change and the relative situation between temperature and running speed of the computer equipment during operation to judge whether the working efficiency of the computer equipment is normal, so that the potential running status can be judged, and the detection result can be more accurate to ensure the high efficiency of the working efficiency of the computer equipment. At the same time, the present invention can judge whether the overall condition of the computer equipment is abnormal based on the running status value generated by the computer equipment within a period of detection time, so as to timely repair and maintain the abnormal computer equipment to ensure the normal operation of the computer equipment.

[0080] The above contents are merely examples and explanations of the concept of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. An intelligent monitoring and management system based on data analysis, characterized in that: The monitoring and management system comprises: A heat dissipation module, the heat dissipation module is used to dissipate heat for computer equipment, and an automatic adjustment unit is installed on the heat dissipation module, and the automatic adjustment unit is used to adjust the heat dissipation power of the heat dissipation module; A data acquisition module, the data acquisition module is used to collect parameter information of the computer device during operation, the parameter information includes temperature information and operating speed information of the device; A data analysis management platform, which is used to analyze the acquired parameter information to generate operating status values, and generate corresponding control instructions according to the generated operating status values; A regulation and management module, wherein the regulation and management module adjusts the heat dissipation power of the heat dissipation module according to the generated control instruction; The method for generating the operating status value of the data analysis management platform is: obtaining the temperature information and the operating speed information of the computer equipment at intervals of a period Δt, and formulating a temperature-time variation curve T(t) and an operating speed-time variation curve V(t); Compare the proposed temperature variation with time curve T(t) with the preset standard temperature variation with time curve T0(t), and compare the proposed operating speed variation with time curve V(t) with the preset standard operating speed variation with time curve V0(t). In the interval period Δt, the area enclosed by the lower part of the proposed temperature variation with time curve T(t) and the upper part of the preset standard temperature variation with time curve T0(t) is recorded as S. T The area enclosed by the proposed speed-versus-time curve V(t) and the system preset standard speed-versus-time curve V0(t) is denoted as S V ; By formula Calculate the operating status value Zb; Among them, the temperature running speed corresponds to the difference state value S VT By formula to conclude; in, as well as is the preset proportional coefficient, t1 is the start time of the interval period, t2 is the end time of the interval period, and Δt = t2-t1, Φ is the temperature control running speed function preset by the system, G bt Standard reference values ​​preset for the system; The method for the control management module to adjust according to the adjustment instruction is: when a reduction instruction is generated, the formula Adjust the heat dissipation power of the heat dissipation module to P M ; When generating a promotion instruction, the formula Adjust the heat dissipation power of the heat dissipation module to P D ; When a hold instruction is generated, the heat dissipation power of the heat dissipation module is maintained at P0; Among them, P0 is the current heat dissipation power of the heat dissipation module, PD max The maximum power allowed to be added to the system, PM max is the maximum power reduction allowed by the system, and τ is the power conversion coefficient.

2. The intelligent monitoring and management system based on data analysis according to claim 1 is characterized in that: The control instructions include a lifting instruction, a lowering instruction and a holding instruction.

3. The intelligent monitoring and management system based on data analysis according to claim 2 is characterized in that: The method for generating the control instruction is: The obtained operating status value Zb is compared with the system preset operating status threshold interval [Zb bt 1. Zb bt 2] Perform comparison: When Zb∈[Zb bt 1. Zb bt 2], a hold instruction is generated; When Zb∈(0, Zb bt 1), a reduction instruction is generated; When Zb∈(Zb bt 2, +∞), a promotion instruction is generated.

4. The intelligent monitoring and management system based on data analysis according to claim 3 is characterized in that: The data analysis management platform also analyzes the overall status of the computer device according to the generated operation status value, and the analysis method is: Select a detection time, which contains n intervals, and obtain the operating status value Zb obtained in each interval under the detection time. i ; By formula The stability coefficient KG of the computer equipment is obtained; When KG>KG bt , the overall condition of the computer equipment is judged to be poor; Among them, n h is the number of promotion instructions generated during the detection time, KG bt The preset stability coefficient threshold of the system.

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