Computer equipment intelligent operation and maintenance supervision system based on multi-source analysis

Abstract

The invention discloses a computer equipment intelligent operation and maintenance supervision system based on multi-source analysis. The system comprises an equipment operation monitoring unit, an operation evaluation unit, a fault trend analysis unit, an environmental influence troubleshooting unit and a fault troubleshooting maintenance unit which are in communication connection with an operation and maintenance supervision platform. According to the method, the running state of the equipment is supervised and analyzed according to the running data of the computer equipment to judge whether the running state of the equipment meets requirements or not, and when it is judged that the equipment runs abnormally, running influence parameters of the computer equipment in the running time period are obtained through a fault trend analysis unit; the operation influence parameters comprise equipment performance parameters and operation environment parameters, multi-source analysis and troubleshooting are carried out on the influence factors causing the equipment abnormity from outside to inside, more accurate fault influence modes are obtained, different adjustment and maintenance schemes are formulated for the computer equipment according to different fault influence modes, and the operation and maintenance reasonability of the computer equipment is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of computer equipment operation and maintenance supervision, and more specifically, to a computer equipment intelligent operation and maintenance supervision system based on multi-source analysis. Background Art

[0002] In industries such as medical care, finance, and education, the number and types of computer equipment continue to increase. Computer equipment operation and maintenance systems will be applied and promoted in more industries, and the demand for operation and maintenance management is also increasing.

[0003] When operating and maintaining computer equipment, supervision and analysis are only carried out through traditional single data analysis methods, and interference factors cannot be checked one by one. This can easily lead to large deviations in analysis results, which is not conducive to timely discovery and maintenance of computer equipment when failures occur, greatly affecting the rationality of operation and maintenance of computer equipment.

[0004] To this end, we propose an intelligent operation and maintenance supervision system for computer equipment based on multi-source analysis to address the above issues. Summary of the invention

[0005] The purpose of the present invention is to solve the existing problems. Compared with the existing technology, the present invention provides an intelligent operation and maintenance supervision system for computer equipment based on multi-source analysis. The system supervises and analyzes the equipment operation status based on the operation data of the computer equipment to determine whether the equipment operation status meets the requirements. When it is determined that the equipment operation is abnormal, the operation influencing parameters of the computer equipment during the operation period are obtained through the fault trend analysis unit. The operation influencing parameters include equipment performance parameters and operating environment parameters. Multi-source analysis and investigation are performed on the influencing factors causing the equipment abnormality from the outside to the inside to obtain a more accurate fault impact mode, so as to formulate different adjustment and maintenance plans for the computer equipment according to different fault impact modes, thereby improving the rationality of operation and maintenance of the computer equipment.

[0006] The object of the present invention can be achieved by the following technical solutions: a computer equipment intelligent operation and maintenance supervision system based on multi-source analysis, including an equipment operation monitoring unit, an operation evaluation unit, a fault trend analysis unit, an environmental impact troubleshooting unit, and a fault troubleshooting and maintenance unit that are communicatively connected to an operation and maintenance supervision platform;

[0007] The equipment operation monitoring unit is used to obtain the operation data of the computer equipment during the operation period, the operation data including the temperature characteristic value and the response characteristic value, and obtain the operation abnormality coefficient YX by numerically calculating the operation data, and send it to the operation evaluation unit through the operation and maintenance supervision platform. The operation evaluation unit determines whether the operation status of the computer equipment meets the requirements according to the operation coefficient YX, and sends the obtained operation abnormality signal to the fault trend analysis unit;

[0008] The fault trend analysis unit obtains the operation influencing parameters of the computer equipment during the operation period, the operation influencing parameters include equipment performance parameters and operation environment parameters, obtains the environmental impact coefficient HX by numerically calculating the operation environment parameters, determines whether the abnormal operation of the computer equipment is caused by the abnormal environment according to the environmental impact coefficient HX, generates an environmental adjustment signal and sends it to the environmental impact investigation unit; obtains the equipment failure coefficient SX by numerically calculating the equipment performance parameters, determines whether the abnormal operation of the computer equipment is caused by the equipment itself according to the equipment failure coefficient SX, and sends the obtained equipment failure management signal to the predictive maintenance management unit;

[0009] The environmental impact investigation unit investigates and optimizes environmental impact factors of abnormal operation of computer equipment; the fault investigation and maintenance unit performs detailed investigation and maintenance on computer equipment fault factors.

[0010] As a preferred embodiment of the present invention, the process of obtaining the operation abnormality coefficient YX includes: generating an operation cycle, dividing the operation cycle into multiple operation time periods, obtaining multiple operation temperature values ​​of the computer device within the operation time period, marking the sub-operation time period with an operation temperature value higher than a preset operation temperature threshold as an abnormal operation time period, marking the ratio of the sum of the parts of the operation temperature value higher than the preset operation temperature threshold to the number of abnormal operation time periods as a temperature difference characteristic value WT, obtaining multiple processing instruction response speed values ​​of the computer device within the operation time period, and performing average calculation to obtain a response characteristic value XT, performing formula calculation on the temperature difference characteristic value WT and the response characteristic value XT to obtain the operation abnormality coefficient YX.

[0011] As a preferred embodiment of the present invention, the process of determining whether the operation status of the computer device meets the requirements includes: comparing the operation abnormality coefficient with a preset operation abnormality coefficient threshold, and when the operation abnormality coefficient is less than or equal to the preset operation abnormality coefficient threshold, determining that the operation status of the computer device meets the requirements;

[0012] When the operation abnormality coefficient is greater than the preset operation abnormality coefficient threshold, it is determined that the operation state of the computer device does not meet the requirements, and an operation abnormality signal is generated.

[0013] As a preferred embodiment of the present invention, the process of obtaining the operating environment parameters includes: obtaining the temperature value of the operating environment of the computer device and marking it as a surface temperature value, arranging the surface temperature values ​​in order from small to large to obtain a surface temperature sequence, selecting the last three surface temperature values ​​of the surface temperature sequence, summing and averaging them, obtaining an abnormal surface temperature value, and marking the part of the abnormal surface temperature value that is higher than a preset abnormal surface temperature threshold as an abnormal environment temperature value HW;

[0014] Obtain the output voltage value of the power supply line of the computer equipment, arrange the output voltage values ​​in order from small to large to obtain a voltage sequence, select the last three output voltage values ​​of the voltage sequence, sum and average them, obtain the abnormal voltage value, mark the part of the abnormal voltage value that is higher than the rated voltage value as the voltage overload value DG, and the ambient temperature abnormal value, voltage overload value, and continuous operation time constitute the operating environment parameters.

[0015] As a preferred embodiment of the present invention, the process of determining whether the abnormal operation of computer equipment is caused by environmental impact includes: comparing the environmental impact coefficient with a preset environmental impact coefficient threshold; when the environmental impact coefficient is greater than or equal to the preset environmental impact coefficient threshold, determining that the abnormal operation of the computer equipment is caused by environmental abnormality.

[0016] As a preferred embodiment of the present invention, the process of troubleshooting and optimizing environmental factors affecting abnormal operation of computer equipment includes: calculating the difference between the ambient temperature difference value, voltage overload value, and continuous operation time and the preset ambient temperature difference threshold, voltage overload threshold, and continuous operation time threshold, respectively, and taking the environmental factor with the largest difference as the preferred environmental adjustment factor, and sending it to the operation and maintenance supervision platform.

[0017] As a preferred embodiment of the present invention, the process of obtaining device performance parameters includes: obtaining the processor usage of the computer device, marking the maximum value of the processor usage during the operating period as the processor usage peak, obtaining the memory usage of the computer device, marking the maximum value of the memory usage during the operating period as the memory usage peak, obtaining the network bandwidth utilization of the computer device, marking the maximum value of the network bandwidth utilization during the operating period as the network bandwidth utilization peak, and the processor utilization peak, memory utilization peak, and network bandwidth utilization peak constitute the device performance parameters.

[0018] As a preferred embodiment of the present invention, the process of determining whether the abnormal operation of computer equipment is caused by a failure of the equipment itself includes: comparing the equipment failure coefficient SX with a preset equipment failure coefficient threshold; when the equipment failure coefficient SX is greater than or equal to the preset equipment failure coefficient threshold, it is determined that the abnormal operation of the computer equipment is caused by an equipment failure, and an equipment failure management signal is generated.

[0019] As a preferred embodiment of the present invention, the process of troubleshooting and maintaining the computer equipment fault factors by the troubleshooting and maintenance unit includes: obtaining all processor usage rates of the computer equipment during the operation period, summing and averaging to obtain the average processor usage rate, obtaining all memory usage rates of the computer equipment during the operation period, summing and averaging to obtain the average memory usage rate, obtaining all network bandwidth utilization rates of the computer equipment during the operation period, summing and averaging to obtain the average network bandwidth utilization rate;

[0020] The difference between the mean processor usage rate and the equipment failure coefficient is marked as the processor usage impact value, the difference between the mean memory usage rate and the equipment failure coefficient is marked as the memory usage impact value, and the difference between the mean network bandwidth utilization rate and the equipment failure coefficient is marked as the network bandwidth utilization impact value. The processor usage impact value, the memory usage impact value, and the network bandwidth utilization impact value are used as fault maintenance factors to form an impact sequence from large to small. From front to back, a maintenance plan is formulated based on the fault maintenance factors in the impact sequence with reference to historical maintenance records, and sent to the operation and maintenance supervision platform.

[0021] Compared with the prior art, the advantages of the present invention are:

[0022] (1) This solution is to monitor and analyze the operation status of the equipment based on the operation data of the computer equipment to determine whether the equipment operation status meets the requirements. When it is determined that the equipment is operating abnormally, the operation influencing parameters of the computer equipment during the operation period are obtained through the fault trend analysis unit. The operation influencing parameters include equipment performance parameters and operating environment parameters. From the outside to the inside, a multi-source analysis is performed on the influencing factors that cause the equipment abnormality to obtain a more accurate fault impact mode, so as to formulate different adjustment and maintenance plans for the computer equipment according to different fault impact modes, thereby improving the rationality of the operation and maintenance of the computer equipment.

[0023] (2) This scheme also relies on the fault troubleshooting and maintenance unit to conduct detailed troubleshooting of computer equipment failure factors on the premise that the abnormality of the computer equipment is caused by equipment failure. The average of the influencing parameters in each equipment performance parameter is compared with the equipment failure coefficient to calculate its impact value. Each impact value is used as a failure maintenance factor to form an impact sequence from large to small. From front to back, a maintenance plan is formulated based on the failure maintenance factors in the impact sequence and with reference to historical maintenance records. Based on the equipment's operating data and maintenance history, the equipment's maintenance needs are predicted and a reasonable maintenance plan is formulated. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 is a system block diagram of embodiment 1 of the present invention;

[0025] Figure 2 This is a system block diagram of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0026] The following will combine 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 the embodiments. All other embodiments obtained by ordinary technicians in this field without creative work based on the embodiments of the present invention belong to the scope of protection of the present invention.

[0027] Example 1: The present invention discloses a computer equipment intelligent operation and maintenance supervision system based on multi-source analysis, please refer to Figure 1 , including an equipment operation monitoring unit, an operation evaluation unit, a fault trend analysis unit, an environmental impact troubleshooting unit, and a fault troubleshooting and maintenance unit that are connected to the operation and maintenance supervision platform.

[0028] The equipment operation monitoring unit is used to obtain the operation data of the computer equipment during the operation period, and the operation data includes temperature characteristic values ​​and response characteristic values;

[0029] Generate an operation cycle, divide the operation cycle into multiple operation periods, obtain multiple operation temperature values ​​of the computer device in the operation period, mark the sub-operation period whose operation temperature value is higher than the preset operation temperature threshold as an abnormal operation period, mark the ratio of the sum of the parts whose operation temperature value is higher than the preset operation temperature threshold to the number of abnormal operation periods as a temperature difference characteristic value WT, obtain multiple processing instruction response speed values ​​of the computer device in the operation period, and perform average calculation to obtain a response characteristic value XT;

[0030] The temperature variation characteristic value WT and the response characteristic value XT are calculated by formula to obtain the operation abnormality coefficient YX, YX=(a1+1)WT+(a2+1)XT, wherein a1 and a2 are the proportional coefficients of the response characteristic value XT and the temperature variation characteristic value WT, respectively, and a1>a2>0, the temperature variation characteristic value WT and the response characteristic value XT are both positive proportional factors of the operation abnormality coefficient YX, the larger the temperature variation characteristic value WT and the response characteristic value XT, the larger the operation abnormality coefficient YX, which means that the risk of abnormal operation of the computer equipment is greater, and the operation abnormality coefficient YX is sent to the operation evaluation unit via the operation and maintenance supervision platform.

[0031] After receiving the operation coefficient YX, the operation evaluation unit determines whether the operation state of the computer device meets the requirements according to the operation coefficient YX. The specific process includes: comparing the operation abnormality coefficient with a preset operation abnormality coefficient threshold value, and when the operation abnormality coefficient is less than or equal to the preset operation abnormality coefficient threshold value, determining that the operation state of the computer device meets the requirements;

[0032] When the operation abnormality coefficient is greater than the preset operation abnormality coefficient threshold, it is determined that the operation state of the computer device does not meet the requirements, an operation abnormality signal is generated, and the operation abnormality signal is sent to the fault trend analysis unit.

[0033] After receiving the abnormal operation signal, the fault trend analysis unit obtains the operation influencing parameters of the computer device during the operation period, and the operation influencing parameters include device performance parameters and operation environment parameters, wherein the operation environment parameters include the ambient temperature difference value, the voltage overload value, and the continuous operation time, and the device performance parameters include the processor usage peak value, the memory usage peak value, and the network bandwidth utilization peak value;

[0034] The environmental impact coefficient HX is obtained by numerically calculating the operating environment parameters, and whether the abnormal operation of the computer equipment is caused by the abnormal environment is determined according to the environmental impact coefficient HX;

[0035] The specific process includes: obtaining the temperature value of the computer equipment operating environment and marking it as a surface temperature value, arranging the surface temperature values ​​in ascending order to obtain a surface temperature sequence, selecting the last three surface temperature values ​​in the surface temperature sequence, summing and averaging them, obtaining an abnormal surface temperature value, and marking the part of the abnormal surface temperature value that is higher than a preset abnormal surface temperature threshold as an abnormal ambient temperature value HW;

[0036] Obtain the output voltage value of the power supply line of the computer equipment, arrange the output voltage values ​​in order from small to large to obtain a voltage sequence, select the last three output voltage values ​​of the voltage sequence, sum them up and take the average, obtain the abnormal voltage value, and mark the part of the abnormal voltage value that is higher than the rated voltage value as the voltage overload value DG;

[0037] The environmental impact coefficient HX is calculated by the formula of the abnormal ambient temperature value HW, the voltage overload value, and the continuous operation time, HX = [(b1+1)HW+(b2+1)DG]×t, wherein b1 and b2 are the proportional coefficients of the abnormal ambient temperature value HW and the voltage overload value DG, respectively, and a1>a2>0, t is the continuous operation time, which represents the time from the start time of the computer equipment to the current time, the abnormal ambient temperature value HW, the voltage overload value DG, and the time from the start time of the computer equipment to the current time are all positive proportional factors of the environmental impact coefficient HX, the larger the values ​​of the abnormal ambient temperature value HW, the voltage overload value DG, and the time from the start time of the computer equipment to the current time, the larger the environmental impact coefficient HX is, which means that the risk of abnormal operation of the computer equipment is greater.

[0038] Specifically, the environmental impact coefficient HX is compared with a preset environmental impact coefficient threshold. When the environmental impact coefficient HX is greater than or equal to the preset environmental impact coefficient threshold, it is determined that the abnormal operation of the computer device is caused by the environmental abnormality. Otherwise, it is determined that the abnormal operation of the computer device is not caused by the environmental abnormality.

[0039] The equipment failure coefficient SX is obtained by numerically calculating the equipment performance parameters, and whether the abnormal operation of the computer equipment is caused by the equipment itself is determined according to the equipment failure coefficient SX;

[0040] The specific process includes: obtaining the processor usage of the computer device, marking the maximum value of the processor usage during the operation period as the processor usage peak value, obtaining the memory usage of the computer device, marking the maximum value of the memory usage during the operation period as the memory usage peak value, obtaining the network bandwidth utilization of the computer device, marking the maximum value of the network bandwidth utilization during the operation period as the network bandwidth utilization peak value, and calculating the processor utilization peak value, the memory utilization peak value, and the network bandwidth utilization peak value by formula to obtain the device failure coefficient SX, SX=(α+1)CL+(β+1)NL+(γ+1)WL, wherein the processor utilization peak value, the memory utilization peak value, and the network bandwidth utilization peak value are marked as CL, NL, and WL respectively, α, β, and γ are the proportional coefficients of the processor utilization peak value, the memory utilization peak value, and the network bandwidth utilization peak value respectively, and α>β>γ>0, the larger the device failure coefficient SX is, the greater the risk of abnormal operation of the computer device is;

[0041] The equipment failure coefficient SX is compared with a preset equipment failure coefficient threshold. When the equipment failure coefficient SX is greater than or equal to the preset equipment failure coefficient threshold, it is determined that the abnormal operation of the computer equipment is caused by the equipment failure. Otherwise, it is determined that the abnormal operation of the computer equipment is not caused by the equipment failure.

[0042] Example 2: Please refer to Figure 2 After determining that the abnormal operation of the computer equipment is caused by the abnormal environment, the fault trend analysis unit generates an environmental adjustment signal and sends it to the environmental impact investigation unit. After receiving the environmental adjustment signal, the environmental impact investigation unit investigates the environmental factors affecting the abnormal operation of the computer equipment. The specific process is as follows:

[0043] The difference between the ambient temperature difference value, voltage overload value and continuous operation time and the preset ambient temperature difference threshold, voltage overload threshold and continuous operation time threshold is calculated respectively, and the environmental influencing factor with the largest difference is used as the preferred environmental adjustment factor, and the preferred environmental adjustment factor is sent to the operation and maintenance supervision platform. The operation and maintenance supervision platform receives the preferred environmental adjustment factor and sends it to the mobile phone terminal of the manager, and the manager optimizes and adjusts the operating environment of the computer equipment.

[0044] After determining that the abnormal operation of the computer equipment is caused by the equipment failure, the fault trend analysis unit generates an equipment failure management signal and sends it to the fault troubleshooting and maintenance unit. After receiving the equipment failure management signal, the fault troubleshooting and maintenance unit conducts detailed troubleshooting of the computer equipment failure factors and formulates a maintenance plan based on the troubleshooting results. The specific process is as follows:

[0045] Obtain all processor usage rates of the computer device during the operation period, sum and average them to obtain the average processor usage rate, obtain all memory usage rates of the computer device during the operation period, sum and average them to obtain the average memory usage rate, obtain all network bandwidth utilization rates of the computer device during the operation period, sum and average them to obtain the average network bandwidth utilization rate;

[0046] The difference between the mean processor usage rate and the equipment failure coefficient is marked as the processor usage impact value, the difference between the mean memory usage rate and the equipment failure coefficient is marked as the memory usage impact value, and the difference between the mean network bandwidth utilization rate and the equipment failure coefficient is marked as the network bandwidth utilization impact value. The processor usage impact value, the memory usage impact value, and the network bandwidth utilization impact value are used as fault maintenance factors to form an impact sequence from large to small. From front to back, a maintenance plan is formulated based on the fault maintenance factors in the impact sequence with reference to historical maintenance records. The maintenance plan is sent to the operation and maintenance supervision platform. After receiving the maintenance plan, the operation and maintenance supervision platform sends the maintenance plan to the mobile terminal of the manager.

[0047] The above is only a preferred specific implementation manner of the present invention; but the protection scope of the present invention is not limited thereto; any technician familiar with the technical field within the technical scope disclosed by the present invention; any equivalent replacement or change based on the technical solution and improved concept of the present invention shall be covered by the protection scope of the present invention.

Claims

1. Intelligent operation and maintenance supervision system for computer equipment based on multi-source analysis, characterized by: It includes an equipment operation monitoring unit, an operation evaluation unit, a fault trend analysis unit, an environmental impact troubleshooting unit, and a fault troubleshooting and maintenance unit that are connected to the operation and maintenance supervision platform in communication; The equipment operation monitoring unit is used to obtain the operation data of the computer equipment during the operation period, the operation data including the temperature characteristic value and the response characteristic value, and obtain the operation abnormality coefficient YX by numerically calculating the operation data, and send it to the operation evaluation unit through the operation and maintenance supervision platform. The operation evaluation unit determines whether the operation status of the computer equipment meets the requirements according to the operation coefficient YX, and sends the obtained operation abnormality signal to the fault trend analysis unit; The fault trend analysis unit obtains the operation influencing parameters of the computer equipment during the operation period, the operation influencing parameters include equipment performance parameters and operation environment parameters, obtains the environmental impact coefficient HX by numerically calculating the operation environment parameters, determines whether the abnormal operation of the computer equipment is caused by the abnormal environment according to the environmental impact coefficient HX, generates an environmental adjustment signal and sends it to the environmental impact investigation unit; obtains the equipment failure coefficient SX by numerically calculating the equipment performance parameters, determines whether the abnormal operation of the computer equipment is caused by the equipment itself according to the equipment failure coefficient SX, and sends the obtained equipment failure management signal to the predictive maintenance management unit; The environmental impact investigation unit investigates and optimizes environmental impact factors of abnormal operation of computer equipment; the fault investigation and maintenance unit performs detailed investigation and maintenance on computer equipment fault factors.

2. The computer equipment intelligent operation and maintenance supervision system based on multi-source analysis according to claim 1 is characterized by: The process of obtaining the operation abnormality coefficient YX includes: generating an operation cycle, dividing the operation cycle into multiple operation time periods, obtaining multiple operation temperature values ​​of the computer device within the operation time period, marking the sub-operation time period with an operation temperature value higher than a preset operation temperature threshold as an abnormal operation time period, marking the ratio of the sum of the parts of the operation temperature value higher than the preset operation temperature threshold to the number of abnormal operation time periods as a temperature difference characteristic value WT, obtaining multiple processing instruction response speed values ​​of the computer device within the operation time period, and performing average calculation to obtain a response characteristic value XT, performing formula calculation on the temperature difference characteristic value WT and the response characteristic value XT to obtain the operation abnormality coefficient YX.

3. The computer equipment intelligent operation and maintenance supervision system based on multi-source analysis according to claim 2 is characterized by: The process of determining whether the operation status of the computer device meets the requirements includes: comparing the operation abnormality coefficient with a preset operation abnormality coefficient threshold, and when the operation abnormality coefficient is less than or equal to the preset operation abnormality coefficient threshold, determining that the operation status of the computer device meets the requirements; When the operation abnormality coefficient is greater than the preset operation abnormality coefficient threshold, it is determined that the operation state of the computer device does not meet the requirements, and an operation abnormality signal is generated.

4. The computer equipment intelligent operation and maintenance supervision system based on multi-source analysis according to claim 3 is characterized by: The process of obtaining the operating environment parameters includes: obtaining the temperature value of the operating environment of the computer equipment and marking it as a surface temperature value, arranging the surface temperature values ​​in order from small to large to obtain a surface temperature sequence, selecting the last three surface temperature values ​​of the surface temperature sequence, summing and averaging them, obtaining an abnormal surface temperature value, and marking the part of the abnormal surface temperature value that is higher than a preset abnormal surface temperature threshold as an abnormal environment temperature value HW; Obtain the output voltage value of the power supply line of the computer equipment, arrange the output voltage values ​​in order from small to large to obtain a voltage sequence, select the last three output voltage values ​​of the voltage sequence, sum and average them, obtain the abnormal voltage value, mark the part of the abnormal voltage value that is higher than the rated voltage value as the voltage overload value DG, and the ambient temperature abnormal value, voltage overload value, and continuous operation time constitute the operating environment parameters.

5. The computer equipment intelligent operation and maintenance supervision system based on multi-source analysis according to claim 4 is characterized by: The process of determining whether the abnormal operation of computer equipment is caused by environmental impact includes: comparing the environmental impact coefficient with a preset environmental impact coefficient threshold. When the environmental impact coefficient is greater than or equal to the preset environmental impact coefficient threshold, it is determined that the abnormal operation of the computer equipment is caused by environmental abnormality.

6. The computer equipment intelligent operation and maintenance supervision system based on multi-source analysis according to claim 5 is characterized by: The process of troubleshooting and optimizing environmental factors affecting abnormal operation of computer equipment includes: calculating the difference between the ambient temperature deviation value, voltage overload value, and continuous operation time and the preset ambient temperature deviation threshold, voltage overload threshold, and continuous operation time threshold, and taking the environmental factor with the largest difference as the preferred environmental adjustment factor and sending it to the operation and maintenance supervision platform.

7. The computer equipment intelligent operation and maintenance supervision system based on multi-source analysis according to claim 3 is characterized by: The process of obtaining device performance parameters includes: obtaining the processor usage of the computer device, marking the maximum value of the processor usage during the operating period as the processor usage peak, obtaining the memory usage of the computer device, marking the maximum value of the memory usage during the operating period as the memory usage peak, obtaining the network bandwidth utilization of the computer device, marking the maximum value of the network bandwidth utilization during the operating period as the network bandwidth utilization peak, and the processor utilization peak, memory utilization peak, and network bandwidth utilization peak constitute the device performance parameters.

8. The computer equipment intelligent operation and maintenance supervision system based on multi-source analysis according to claim 7 is characterized by: The process of determining whether the abnormal operation of the computer equipment is caused by a failure of the equipment itself includes: comparing the equipment failure coefficient SX with a preset equipment failure coefficient threshold; when the equipment failure coefficient SX is greater than or equal to the preset equipment failure coefficient threshold, it is determined that the abnormal operation of the computer equipment is caused by an equipment failure, and an equipment failure management signal is generated.

9. The computer equipment intelligent operation and maintenance supervision system based on multi-source analysis according to claim 8 is characterized by: The process of troubleshooting and maintaining the computer equipment fault factors by the troubleshooting and maintenance unit includes: obtaining all processor usage rates of the computer equipment during the operation period, summing and averaging to obtain the average processor usage rate, obtaining all memory usage rates of the computer equipment during the operation period, summing and averaging to obtain the average memory usage rate, obtaining all network bandwidth utilization rates of the computer equipment during the operation period, summing and averaging to obtain the average network bandwidth utilization rate; The difference between the mean processor usage rate and the equipment failure coefficient is marked as the processor usage impact value, the difference between the mean memory usage rate and the equipment failure coefficient is marked as the memory usage impact value, and the difference between the mean network bandwidth utilization rate and the equipment failure coefficient is marked as the network bandwidth utilization impact value. The processor usage impact value, the memory usage impact value, and the network bandwidth utilization impact value are used as fault maintenance factors to form an impact sequence from large to small. From front to back, a maintenance plan is formulated based on the fault maintenance factors in the impact sequence with reference to historical maintenance records, and sent to the operation and maintenance supervision platform.

Images