A computer equipment intelligent operation and maintenance management system based on cloud computing

Abstract

The present invention relates to the field of computer equipment operation and maintenance technology, and in particular to a computer equipment intelligent operation and maintenance management system based on cloud computing, including an operation and maintenance management platform, an information collection unit, a fault self-check unit, a management evaluation unit, a periodic control unit, an early warning matching unit and a management response unit; the present invention performs operation safety supervision feedback analysis on the work performance data of the computer equipment to determine whether the computer equipment has failed, and on the premise that the computer equipment has failed and has maintenance value, performs maintenance early warning matching analysis operation by means of information feedback, so as to manage the computer equipment reasonably and targetedly according to the feedback text, so as to improve the maintenance efficiency of the computer equipment, and performs periodic supervision efficiency evaluation analysis after maintenance by means of progressive and information feedback, so as to adjust the operation and maintenance cycle according to different texts of the predicted feedback, so as to ensure the rationality of the management of the computer equipment.

Description

Technical Field

[0001] The present invention relates to the field of computer equipment operation and maintenance technology, and in particular to a computer equipment intelligent operation and maintenance management system based on cloud computing. Background Art

[0002] System operation and maintenance is similar to system maintenance. The former focuses more on ensuring the normal operation of the system. Operation and maintenance have two meanings: operation and maintenance. For a system, sometimes we cannot predict errors. The more complex the system, the more difficult it is to maintain. In order to reduce losses, we try our best to prevent various errors and repair emergencies as much as possible.

[0003] However, in the prior art, when operating and maintaining computer equipment, supervision is performed through traditional single data analysis methods, resulting in large deviations in the analysis results, which in turn affects the rationality of the management and control of computer equipment, and it is impossible to analyze whether the computer equipment has maintenance value, which in turn increases costs, and it is impossible to adjust the operation and maintenance cycle of computer equipment, which in turn reduces the monitoring effect of computer equipment and affects the accuracy of maintenance and management of computer equipment;

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a computer equipment intelligent operation and maintenance management system based on cloud computing to solve the technical defects mentioned above. The present invention performs operation safety supervision feedback analysis on the work performance data of the computer equipment to determine whether the computer equipment has a fault, so as to perform feedback management in a timely manner to improve the management effect of the computer equipment. On the premise that the computer equipment fails and has maintenance value, it is analyzed from the two perspectives of maintenance value and cycle regulation. Maintenance warning matching analysis operations are performed through information feedback to manage the computer equipment reasonably and targetedly according to the feedback text to improve the maintenance efficiency of the computer equipment. The cycle supervision efficiency evaluation and analysis after maintenance is performed in a progressive and information feedback manner to determine whether the operation and maintenance cycle of the computer equipment needs to be adjusted, so as to make reasonable and targeted operation and maintenance cycle adjustments according to different texts of the predicted feedback to ensure the management rationality and operation stability 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 management system based on cloud computing, including an operation and maintenance management platform, an information collection unit, a fault self-checking unit, a management evaluation unit, a cycle control unit, an early warning matching unit and a management response unit;

[0007] When the operation and maintenance management platform generates an operation management instruction, the operation management instruction is sent to the information collection unit and the facility assessment unit. After receiving the operation management instruction, the information collection unit immediately collects the work performance data and facility parameter data of the computer equipment. The work performance data includes the operation assessment value and the characteristic risk coefficient, and the facility parameter data includes the fault interference value and the maintainability cost-effectiveness coefficient. The work performance data and the facility parameter data are sent to the fault self-checking unit and the management assessment unit respectively. After receiving the work performance data, the fault self-checking unit immediately performs operation safety supervision feedback analysis on the work performance data, and sends the obtained fault signal to the management assessment unit and the cycle control unit;

[0008] After receiving the fault signal and facility parameter data, the management evaluation unit immediately performs detailed operation and maintenance management analysis on the facility parameter data, sends the obtained management signal to the early warning matching unit, and sends the obtained replacement signal to the management response unit;

[0009] After receiving the management signal, the warning matching unit immediately performs maintenance warning matching analysis operations and sends the obtained low-level warning signal and high-level warning signal to the management response unit;

[0010] After receiving the fault signal, the cycle control unit immediately collects the status risk data of the computer equipment after maintenance. The status risk data includes the failure rate and the sudden risk coefficient, and performs a cycle supervision efficiency evaluation and analysis on the status risk data, and sends the obtained shortening signal to the management response unit.

[0011] Preferably, the operation safety supervision feedback analysis process of the fault self-checking unit is as follows:

[0012] A monitoring period is set and set as a time threshold. The time threshold is divided into i sub-time nodes, where i is a natural number greater than zero. The operation evaluation value of the computer equipment within the time threshold is obtained. The operation evaluation value acquisition process is as follows: a rectangular coordinate system is established with the number of sub-time nodes as the X-axis and the performance coefficient corresponding to the sub-time node as the Y-axis. The performance coefficient represents the product of the operating temperature value and the operating voltage value corresponding to the sub-time node after data normalization. A performance coefficient curve is drawn by plotting points. The slope corresponding to each rising line segment and the ratio of the number of rising line segments to the total number of line segments are obtained from the performance coefficient curve. The product of the number of rising line segments whose slopes are greater than the preset threshold and the ratio of the number of rising line segments to the total number of line segments after data normalization is set as the operation evaluation value;

[0013] The characteristic variation value of the computer equipment in each sub-time node is obtained. The characteristic variation value indicates the number of times that the actual value of the characteristic parameter corresponding to the sub-time node of the computer equipment exceeds the preset threshold value. The characteristic parameter indicates the abnormal sound value and the vibration amplitude. A rectangular coordinate system is established with the number of sub-time nodes as the X-axis and the characteristic variation value as the Y-axis. The characteristic variation value curve is drawn by plotting points, and the area enclosed by the characteristic variation value curve and the X-axis is set as the characteristic risk coefficient. The operation evaluation value and the characteristic risk coefficient are labeled YP and TF respectively.

[0014] Preferably, the formula processing process of the operation evaluation value and the characteristic risk coefficient is as follows:

[0015] According to the formula The performance evaluation coefficient is obtained, where a1 and a2 are respectively the preset proportional factor coefficients of the operation evaluation value and the characteristic risk coefficient, a1 and a2 are both greater than zero, a3 is the preset correction factor coefficient, a3 is greater than zero, and P is the performance evaluation coefficient. The performance evaluation coefficient P is compared and analyzed with the preset performance evaluation coefficient threshold value stored in the internal entry:

[0016] If the ratio between the performance evaluation coefficient P and the preset performance evaluation coefficient threshold is less than or equal to 1, no signal is generated;

[0017] If the ratio between the performance evaluation coefficient P and the preset performance evaluation coefficient threshold is greater than 1, a fault signal is generated.

[0018] Preferably, the detailed analysis process of operation and maintenance management of the management evaluation unit is as follows:

[0019] The duration between the time when the computer equipment is put into use and the current time is obtained, and it is set as the time when the computer equipment is put into use, in years, and the actual failure rate curve of the computer equipment within the time when the computer equipment is put into use is obtained, and then the failure rate line segment corresponding to the time exceeding the preset time is obtained from the actual failure rate curve, and it is set as the failure rate analysis curve, and the part of the area enclosed by the failure rate analysis curve and the X-axis exceeding the preset threshold is obtained, and it is set as the failure interference value;

[0020] The duration corresponding to the failure rate analysis curve is obtained and set as the analysis duration. The number of computer equipment failures within the analysis duration is obtained, and then the maintenance list corresponding to each number of failures is obtained. The maintenance cost of each computer equipment is obtained from the maintenance list, and then a set A of maintenance costs is constructed. The mean of set A is set as the maintenance mean. At the same time, the interval duration between the number of consecutive failures is obtained, and a rectangular coordinate system is established with the number of interval durations as the X-axis and the interval duration as the Y-axis. The interval duration curve is drawn by plotting points, and the product of the change trend value of the interval duration curve and the maintenance mean after data normalization is set as the maintenance cost-effectiveness coefficient.

[0021] Preferably, the fault interference value and the maintenance cost-effectiveness coefficient are compared and analyzed with the preset fault interference value threshold and the preset maintenance cost-effectiveness coefficient threshold which are recorded and stored internally:

[0022] If the fault interference value is less than or equal to the preset fault interference value threshold, and the maintenance cost-effectiveness coefficient is less than or equal to the preset maintenance cost-effectiveness coefficient threshold, a management signal is generated;

[0023] If the fault interference value is greater than a preset fault interference value threshold, or the maintenance cost-effectiveness coefficient is greater than a preset maintenance cost-effectiveness coefficient threshold, a replacement signal is generated.

[0024] Preferably, the maintenance warning matching analysis operation process of the warning matching unit is as follows:

[0025] S1: Obtain the computer device corresponding to the fault signal and set it as the maintenance computer device, obtain the performance evaluation coefficient P of the maintenance computer device within the time threshold, and then set the part of the performance evaluation coefficient P that is greater than the preset performance evaluation coefficient threshold as the performance risk value, compare and analyze the performance risk value with the preset performance risk value interval, and if the performance risk value is greater than the maximum value in the preset performance risk value interval, the maintenance computer device is set to the third level of damage, if the performance risk value belongs to the preset performance risk value interval, the maintenance computer device is set to the second level of damage, and if the performance risk value is less than the minimum value in the preset performance risk value interval, the maintenance computer device is set to the first level of damage, and the first level of damage, the second level of damage and the third level of damage are set as the damage level GM, GM=1, 2, 3;

[0026] S2: Obtain the fault code of the computer equipment maintained within the time threshold, and at the same time obtain the number of times the same fault code appears within the input time, and set it as the number of faults of the same type, obtain the average maintenance time of the number of faults of the same type, and obtain the delay evaluation value of the warning equipment within the time threshold. The delay evaluation value represents the proportion of the sum of the number of delayed warnings and the number of no warnings in the total number of warnings of the warning equipment, and the average maintenance time and the delay evaluation value are labeled WJ and WP respectively;

[0027] S3: Obtain the warning level assessment coefficient W according to the formula, and compare and analyze the warning level assessment coefficient W with the preset warning level assessment coefficient threshold value stored in the internal input:

[0028] If the ratio between the warning level evaluation coefficient W and the preset warning level evaluation coefficient threshold is less than 1, a low-level warning signal is generated;

[0029] If the ratio between the warning level evaluation coefficient W and the preset warning level evaluation coefficient threshold is greater than or equal to 1, a high-level warning signal is generated.

[0030] Preferably, the cycle regulation efficiency evaluation and analysis process of the cycle regulation unit is as follows:

[0031] Obtain the failure rate corresponding to the failure rate analysis curve at the end of maintenance of the maintenance computer equipment, and at the same time obtain the aging and depreciation value of each component in the maintenance list of the maintenance computer equipment, compare and analyze the aging and depreciation value with the stored preset aging and depreciation value threshold, set the ratio of the number of components corresponding to the aging and depreciation value greater than the preset aging and depreciation value threshold to the total number of components as the sudden risk coefficient, and set the product value of the failure rate and the sudden risk coefficient after data normalization as the periodic control coefficient;

[0032] Compare and analyze the periodic control coefficient with the preset periodic control coefficient threshold value stored in the internal storage:

[0033] If the periodic regulation coefficient is less than the preset periodic regulation coefficient threshold, no signal is generated;

[0034] If the cycle control coefficient is greater than or equal to the preset cycle control coefficient threshold, a shortening signal is generated.

[0035] The beneficial effects of the present invention are as follows:

[0036] (1) The present invention performs operational safety supervision feedback analysis on the performance data of computer equipment to determine whether the computer equipment has failed, so as to conduct timely feedback management and improve the management effect of the computer equipment. Under the premise of computer equipment failure, the present invention performs analysis from two perspectives: maintenance value and cycle control, that is, performs detailed operation and maintenance management analysis on facility parameter data to determine whether the computer equipment has maintenance value, so as to reasonably perform maintenance management on the computer equipment;

[0037] (2) Under the premise that the computer equipment has maintenance value, the present invention performs maintenance warning matching analysis operations through information feedback, so as to manage the computer equipment reasonably and targetedly according to the feedback text, so as to improve the maintenance efficiency of the computer equipment, and performs post-maintenance periodic supervision efficiency evaluation and analysis through progressive and information feedback methods to determine whether the operation and maintenance cycle of the computer equipment needs to be adjusted, so as to make reasonable and targeted adjustments to the operation and maintenance cycle according to the different texts of the predicted feedback, so as to ensure the management rationality and operation stability of the computer equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The present invention will be further described below in conjunction with the accompanying drawings;

[0039] Figure 1 It is a flowchart of the system of the present invention;

[0040] Figure 2 It is a partial reference diagram of embodiment 1 of the present invention. DETAILED DESCRIPTION

[0041] 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.

[0042] Embodiment 1:

[0043] See also Figure 1 to Figure 2 As shown, the present invention is a computer equipment intelligent operation and maintenance management system based on cloud computing, including an operation and maintenance management platform, an information collection unit, a fault self-checking unit, a management evaluation unit, a cycle control unit, an early warning matching unit and a management response unit, the operation and maintenance management platform is in a one-way communication connection with the information collection unit, the information collection unit is in a one-way communication connection with the fault self-checking unit and the management evaluation unit, the fault self-checking unit is in a one-way communication connection with the management evaluation unit and the cycle control unit, the management evaluation unit and the cycle control unit are in a one-way communication connection with the management response unit, the management evaluation unit is in a one-way communication connection with the early warning matching unit, and the early warning matching unit is in a one-way communication connection with the management response unit;

[0044] When the operation and maintenance management platform generates an operation management instruction, the operation management instruction is sent to the information collection unit and the facility assessment unit. After receiving the operation management instruction, the information collection unit immediately collects the work performance data and facility parameter data of the computer equipment. The work performance data includes the operation evaluation value and the characteristic risk coefficient, and the facility parameter data includes the fault interference value and the maintainability cost-effectiveness coefficient. The work performance data and the facility parameter data are sent to the fault self-checking unit and the management assessment unit respectively. After receiving the work performance data, the fault self-checking unit immediately performs operation safety supervision feedback analysis on the work performance data to determine whether the computer equipment has a fault, so as to conduct feedback management in a timely manner to improve the management effect of the computer equipment. The specific operation safety supervision feedback analysis process is as follows:

[0045] A monitoring period is set and set as a time threshold. The time threshold is divided into i sub-time nodes, where i is a natural number greater than zero. The operation evaluation value of the computer equipment within the time threshold is obtained. The operation evaluation value acquisition process is as follows: a rectangular coordinate system is established with the number of sub-time nodes as the X-axis and the performance coefficient corresponding to the sub-time node as the Y-axis. The performance coefficient represents the product of the operating temperature value and the operating voltage value corresponding to the sub-time node after data normalization. A performance coefficient curve is drawn by plotting points. The slope corresponding to each rising line segment and the ratio of the number of rising line segments to the total number of line segments are obtained from the performance coefficient curve. The product value obtained after data normalization of the number of rising line segments corresponding to the slope greater than the preset threshold and the ratio of the number of rising line segments to the total number of line segments is set as the operation evaluation value. It should be noted that the larger the value of the operation evaluation value, the greater the risk of abnormal operation of the computer equipment.

[0046] The characteristic variation value of the computer equipment in each sub-time node is obtained. The characteristic variation value indicates the number of times that the actual value of the characteristic parameter corresponding to the sub-time node of the computer equipment exceeds the preset threshold value. The characteristic parameter indicates the abnormal sound value, vibration amplitude, etc. A rectangular coordinate system is established with the number of sub-time nodes as the X-axis and the characteristic variation value as the Y-axis. The characteristic variation value curve is drawn by plotting points, and then the area enclosed by the characteristic variation value curve and the X-axis is set as the characteristic risk coefficient. It should be noted that the larger the value of the characteristic risk coefficient, the greater the risk of abnormal operation of the computer equipment. The operation assessment value and the characteristic risk coefficient are labeled as YP and TF respectively;

[0047] According to the formula The performance evaluation coefficient is obtained, where a1 and a2 are the preset proportional factor coefficients of the operation evaluation value and the characteristic risk coefficient respectively. The proportional factor coefficient is used to correct the deviation of various parameters in the formula calculation process, so as to make the calculation result more accurate. Both a1 and a2 are greater than zero, a3 is the preset correction factor coefficient, a3 is greater than zero, and P is the performance evaluation coefficient. The performance evaluation coefficient P is compared and analyzed with the preset performance evaluation coefficient threshold value stored in the internal entry:

[0048] If the ratio between the performance evaluation coefficient P and the preset performance evaluation coefficient threshold is less than or equal to 1, no signal is generated;

[0049] If the ratio between the performance evaluation coefficient P and the preset performance evaluation coefficient threshold is greater than 1, a fault signal is generated and sent to the management evaluation unit and the cycle control unit;

[0050] After receiving the fault signal and facility parameter data, the management and evaluation unit immediately performs detailed operation and maintenance management analysis on the facility parameter data to determine whether the computer equipment has repair value, so as to reasonably maintain and manage the computer equipment to reduce unnecessary economic losses. The specific operation and maintenance management detailed analysis process is as follows:

[0051] The duration between the time when the computer equipment is put into use and the current time is obtained, and it is set as the time of use, in years. The actual failure rate curve of the computer equipment within the time of use is obtained, and then the failure rate line segment corresponding to the time exceeding the preset time is obtained from the actual failure rate curve, and it is set as the failure rate analysis curve. The part of the area enclosed by the failure rate analysis curve and the X-axis that exceeds the preset threshold is obtained, and it is set as the failure interference value. It should be noted that the larger the value of the failure interference value, the greater the risk of maintenance cost increase caused by the failure of the computer equipment;

[0052] The duration corresponding to the failure rate analysis curve is obtained, and it is set as the analysis duration. The number of computer equipment failures within the analysis duration is obtained, and then the maintenance list corresponding to each number of failures is obtained. The maintenance cost of each computer equipment is obtained from the maintenance list, and then a set A of maintenance costs is constructed. The mean of set A is set as the maintenance mean. At the same time, the interval duration between the consecutive failure times is obtained, and a rectangular coordinate system is established with the number of interval durations as the X-axis and the interval duration as the Y-axis. The interval duration curve is drawn by plotting points, and the product value obtained by normalizing the change trend value of the interval duration curve and the maintenance mean is set as the maintenance cost-effectiveness coefficient. It should be noted that the larger the value of the maintenance cost-effectiveness coefficient, the smaller the maintenance demand for computer equipment failures and the smaller the maintenance value.

[0053] Compare and analyze the fault interference value and the maintenance cost-effectiveness coefficient with the preset fault interference value threshold and the preset maintenance cost-effectiveness coefficient threshold that are stored internally:

[0054] If the fault interference value is less than or equal to the preset fault interference value threshold, and the maintenance cost-effectiveness coefficient is less than or equal to the preset maintenance cost-effectiveness coefficient threshold, a management signal is generated and sent to the early warning matching unit;

[0055] If the fault interference value is greater than the preset fault interference value threshold, or the maintainability cost-effectiveness coefficient is greater than the preset maintainability cost-effectiveness coefficient threshold, a replacement signal is generated and sent to the management response unit. After receiving the replacement signal, the management response unit immediately displays the preset warning text corresponding to the replacement signal, so that the computer equipment can be reasonably managed according to the feedback text.

[0056] Embodiment 2:

[0057] After receiving the management signal, the early warning matching unit immediately performs maintenance early warning matching analysis to understand the maintenance early warning level of the computer equipment so as to manage it reasonably and in a targeted manner to improve the maintenance efficiency of the computer equipment. The specific maintenance early warning matching analysis operation process is as follows:

[0058] The computer device corresponding to the fault signal is obtained, and it is set as the maintenance computer device, the performance evaluation coefficient P of the maintenance computer device within the time threshold is obtained, and then the part of the performance evaluation coefficient P that is greater than the preset performance evaluation coefficient threshold is set as the performance risk value, and the performance risk value is compared and analyzed with the preset performance risk value interval. If the performance risk value is greater than the maximum value in the preset performance risk value interval, the maintenance computer device is set as the third level of damage, if the performance risk value belongs to the preset performance risk value interval, the maintenance computer device is set as the second level of damage, and if the performance risk value is less than the minimum value in the preset performance risk value interval, the maintenance computer device is set as the first level of damage, and the first level of damage, the second level of damage and the third level of damage are set as the damage level GM, GM=1, 2, 3. It should be noted that the damage levels corresponding to the first level of damage, the second level of damage and the third level of damage increase in sequence. When the damage level GM=1, it indicates the first level of damage, when the damage level GM=2, it indicates the second level of damage, and when the damage level GM=3, it indicates the third level of damage;

[0059] Obtain the fault code of the computer equipment maintained within the time threshold, and at the same time obtain the number of times the same fault code appears within the input time, and set it as the number of faults of the same type, obtain the average maintenance time of the number of faults of the same type, and obtain the delay assessment value of the warning equipment within the time threshold. The delay assessment value represents the proportion of the sum of the number of delayed warnings and the number of no warnings in the total number of warnings of the warning equipment, and the average maintenance time and the delay assessment value are respectively labeled as WJ and WP. It should be noted that the average maintenance time WJ and the delay assessment value WP are two influencing parameters reflecting the maintenance warning demand of computer equipment. The larger the values ​​of the average maintenance time WJ and the delay assessment value WP are, the greater the difficulty of computer equipment maintenance.

[0060] According to the formula The warning level evaluation coefficient is obtained, f1 and f2 are the preset weight factor coefficients of the mean maintenance time and the delay evaluation value respectively, f3 is the preset fault tolerance factor coefficient, f1, f2 and f3 are all greater than zero, W is the warning level evaluation coefficient, and the warning level evaluation coefficient W is compared and analyzed with the preset warning level evaluation coefficient threshold value stored in the internal input:

[0061] If the ratio between the warning level evaluation coefficient W and the preset warning level evaluation coefficient threshold is less than 1, a low-level warning signal is generated;

[0062] If the ratio between the warning level evaluation coefficient W and the preset warning level evaluation coefficient threshold is greater than or equal to 1, a high-level warning signal is generated, and the low-level warning signal and the high-level warning signal are sent to the management response unit. After receiving the low-level warning signal and the high-level warning signal, the management response unit immediately displays the preset warning text corresponding to the low-level warning signal and the high-level warning signal, so as to manage the computer equipment reasonably and targetedly according to the feedback text, so as to improve the maintenance efficiency of the computer equipment;

[0063] After receiving the fault signal, the cycle control unit immediately collects the state risk data of the computer equipment after maintenance. The state risk data includes the failure rate and the sudden risk coefficient, and performs cycle supervision efficiency evaluation and analysis on the state risk data to determine whether the operation and maintenance cycle of the computer equipment needs to be adjusted to improve the supervision effect of the computer equipment. The specific cycle supervision efficiency evaluation and analysis process is as follows:

[0064] The failure rate corresponding to the failure rate analysis curve at the end of maintenance of the maintenance computer equipment is obtained, and the aging and depreciation value of each component in the maintenance list of the maintenance computer equipment is obtained at the same time, and the aging and depreciation value is compared and analyzed with the stored preset aging and depreciation value threshold, and the ratio of the number of components corresponding to the aging and depreciation value greater than the preset aging and depreciation value threshold to the total number of components is set as the sudden risk coefficient, and the product value obtained after data normalization of the failure rate and the sudden risk coefficient is set as the cycle control coefficient. It should be noted that the larger the value of the cycle control coefficient is, the greater the demand for shortening the operation and maintenance cycle of the maintenance computer equipment is;

[0065] Compare and analyze the periodic control coefficient with the preset periodic control coefficient threshold value stored in the internal storage:

[0066] If the periodic regulation coefficient is less than the preset periodic regulation coefficient threshold, no signal is generated;

[0067] If the cycle control coefficient is greater than or equal to the preset cycle control coefficient threshold, a shortening signal is generated and sent to the management response unit. After receiving the shortening signal, the management response unit immediately displays the preset warning text corresponding to the shortening signal, so as to make reasonable and targeted operation and maintenance cycle adjustments according to the different texts of the prediction feedback, so as to ensure the rationality of management and operation stability of computer equipment;

[0068] In summary, the present invention performs operation safety supervision feedback analysis on the work performance data of computer equipment to determine whether the computer equipment has a fault, so as to conduct feedback management in a timely manner to improve the management effect of the computer equipment. Under the premise of computer equipment failure, analysis is performed from two perspectives: maintenance value and cycle control, that is, operation and maintenance management refinement analysis is performed on facility parameter data to determine whether the computer equipment has maintenance value, so as to reasonably perform maintenance and management of the computer equipment. Under the premise that the computer equipment has maintenance value, maintenance warning matching analysis operation is performed by means of information feedback, so as to reasonably and targetedly manage the computer equipment according to the feedback text, so as to improve the maintenance efficiency of the computer equipment. Post-maintenance cycle supervision efficiency evaluation analysis is performed by means of progressive and information feedback to determine whether the operation and maintenance cycle of the computer equipment needs to be adjusted, so as to reasonably and targetedly adjust the operation and maintenance cycle according to different texts of the predicted feedback, so as to ensure the management rationality and operation stability of the computer equipment.

[0069] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0070] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and the inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. A computer equipment intelligent operation and maintenance management system based on cloud computing, characterized in that: It includes operation and maintenance management platform, information collection unit, fault self-checking unit, management evaluation unit, cycle control unit, early warning matching unit and management response unit; When the operation and maintenance management platform generates an operation management instruction, the operation management instruction is sent to the information collection unit and the facility assessment unit. After receiving the operation management instruction, the information collection unit immediately collects the work performance data and facility parameter data of the computer equipment. The work performance data includes the operation assessment value and the characteristic risk coefficient, and the facility parameter data includes the fault interference value and the maintainability cost-effectiveness coefficient. The work performance data and the facility parameter data are sent to the fault self-checking unit and the management assessment unit respectively. After receiving the work performance data, the fault self-checking unit immediately performs operation safety supervision feedback analysis on the work performance data, and sends the obtained fault signal to the management assessment unit and the cycle control unit; After receiving the fault signal and facility parameter data, the management evaluation unit immediately performs detailed operation and maintenance management analysis on the facility parameter data, sends the obtained management signal to the early warning matching unit, and sends the obtained replacement signal to the management response unit; After receiving the management signal, the warning matching unit immediately performs maintenance warning matching analysis operations and sends the obtained low-level warning signal and high-level warning signal to the management response unit; After receiving the fault signal, the cycle control unit immediately collects the state risk data of the computer equipment after maintenance, the state risk data includes the failure rate and the sudden risk coefficient, and performs cycle supervision efficiency evaluation and analysis on the state risk data, and sends the obtained shortening signal to the management response unit; The operation safety supervision feedback analysis process of the fault self-checking unit is as follows: A monitoring period is set and set as a time threshold. The time threshold is divided into i sub-time nodes, where i is a natural number greater than zero. The operation evaluation value of the computer equipment within the time threshold is obtained. The operation evaluation value acquisition process is as follows: a rectangular coordinate system is established with the number of sub-time nodes as the X-axis and the performance coefficient corresponding to the sub-time node as the Y-axis. The performance coefficient represents the product of the operating temperature value and the operating voltage value corresponding to the sub-time node after data normalization. A performance coefficient curve is drawn by plotting points. The slope corresponding to each rising line segment and the ratio of the number of rising line segments to the total number of line segments are obtained from the performance coefficient curve. The product of the number of rising line segments whose slopes are greater than the preset threshold and the ratio of the number of rising line segments to the total number of line segments after data normalization is set as the operation evaluation value; The characteristic abnormality value of the computer equipment in each sub-time node is obtained. The characteristic abnormality value indicates the number of times the actual value of the characteristic parameter corresponding to the sub-time node of the computer equipment exceeds the preset threshold value. The characteristic parameter indicates the abnormal sound value and the vibration amplitude. A rectangular coordinate system is established with the number of sub-time nodes as the X-axis and the characteristic abnormality value as the Y-axis. A characteristic abnormality value curve is drawn by plotting points. The area enclosed by the characteristic abnormality value curve and the X-axis is set as the characteristic risk coefficient. The operation assessment value and the characteristic risk coefficient are labeled YP and TF respectively. The formula processing process of the operation evaluation value and the characteristic risk coefficient is as follows: According to the formula The performance evaluation coefficient is obtained, where a1 and a2 are respectively the preset proportional factor coefficients of the operation evaluation value and the characteristic risk coefficient, a1 and a2 are both greater than zero, a3 is the preset correction factor coefficient, a3 is greater than zero, and P is the performance evaluation coefficient. The performance evaluation coefficient P is compared and analyzed with the preset performance evaluation coefficient threshold value stored in the internal entry: If the ratio between the performance evaluation coefficient P and the preset performance evaluation coefficient threshold is less than or equal to 1, no signal is generated; If the ratio between the performance evaluation coefficient P and the preset performance evaluation coefficient threshold is greater than 1, a fault signal is generated; The detailed analysis process of the operation and maintenance management of the management evaluation unit is as follows: The duration between the time when the computer equipment is put into use and the current time is obtained, and it is set as the time when the computer equipment is put into use, in years, and the actual failure rate curve of the computer equipment within the time when the computer equipment is put into use is obtained, and then the failure rate line segment corresponding to the time exceeding the preset time is obtained from the actual failure rate curve, and it is set as the failure rate analysis curve, and the part of the area enclosed by the failure rate analysis curve and the X-axis exceeding the preset threshold is obtained, and it is set as the failure interference value; The duration corresponding to the failure rate analysis curve is obtained and set as the analysis duration, the number of computer equipment failures within the analysis duration is obtained, and then the maintenance list corresponding to each number of failures is obtained, and the maintenance cost of each computer equipment is obtained from the maintenance list, and then a set A of maintenance costs is constructed, and the mean of set A is set as the maintenance mean. At the same time, the interval duration between the consecutive failure times is obtained, and a rectangular coordinate system is established with the number of interval durations as the X-axis and the interval duration as the Y-axis. The interval duration curve is drawn by plotting points, and the product value obtained by normalizing the change trend value of the interval duration curve and the maintenance mean is set as the maintenance cost-effectiveness coefficient; The fault interference value and the maintenance cost-effectiveness coefficient are compared and analyzed with the preset fault interference value threshold and the preset maintenance cost-effectiveness coefficient threshold that are recorded and stored internally: If the fault interference value is less than or equal to the preset fault interference value threshold, and the maintenance cost-effectiveness coefficient is less than or equal to the preset maintenance cost-effectiveness coefficient threshold, a management signal is generated; If the fault interference value is greater than a preset fault interference value threshold, or the maintenance cost-effectiveness coefficient is greater than a preset maintenance cost-effectiveness coefficient threshold, a replacement signal is generated.

2. The cloud computing-based intelligent operation and maintenance management system for computer equipment according to claim 1, characterized in that: The maintenance warning matching analysis operation process of the warning matching unit is as follows: S1: Obtain the computer device corresponding to the fault signal and set it as the maintenance computer device, obtain the performance evaluation coefficient P of the maintenance computer device within the time threshold, and then set the part of the performance evaluation coefficient P that is greater than the preset performance evaluation coefficient threshold as the performance risk value, compare and analyze the performance risk value with the preset performance risk value interval, and if the performance risk value is greater than the maximum value in the preset performance risk value interval, the maintenance computer device is set to the third level of damage, if the performance risk value belongs to the preset performance risk value interval, the maintenance computer device is set to the second level of damage, and if the performance risk value is less than the minimum value in the preset performance risk value interval, the maintenance computer device is set to the first level of damage, and the first level of damage, the second level of damage and the third level of damage are set as the damage level GM, GM=1, 2, 3; S2: Obtain the fault code of the computer equipment maintained within the time threshold, and at the same time obtain the number of times the same fault code appears within the input time, and set it as the number of faults of the same type, obtain the average maintenance time of the number of faults of the same type, and obtain the delay evaluation value of the warning equipment within the time threshold. The delay evaluation value represents the proportion of the sum of the number of delayed warnings and the number of no warnings in the total number of warnings of the warning equipment, and the average maintenance time and the delay evaluation value are labeled WJ and WP respectively; S3: Obtain the warning level assessment coefficient W according to the formula, and compare and analyze the warning level assessment coefficient W with the preset warning level assessment coefficient threshold value stored in the internal input: If the ratio between the warning level evaluation coefficient W and the preset warning level evaluation coefficient threshold is less than 1, a low-level warning signal is generated; If the ratio between the warning level evaluation coefficient W and the preset warning level evaluation coefficient threshold is greater than or equal to 1, a high-level warning signal is generated.

3. The computer equipment intelligent operation and maintenance management system based on cloud computing according to claim 1 is characterized in that: The cycle regulation efficiency evaluation and analysis process of the cycle regulation unit is as follows: Obtain the failure rate corresponding to the failure rate analysis curve at the end of maintenance of the maintenance computer equipment, and at the same time obtain the aging and depreciation value of each component in the maintenance list of the maintenance computer equipment, compare and analyze the aging and depreciation value with the stored preset aging and depreciation value threshold, set the ratio of the number of components corresponding to the aging and depreciation value greater than the preset aging and depreciation value threshold to the total number of components as the sudden risk coefficient, and set the product value of the failure rate and the sudden risk coefficient after data normalization as the periodic control coefficient; Compare and analyze the periodic control coefficient with the preset periodic control coefficient threshold value stored in the internal storage: If the periodic regulation coefficient is less than the preset periodic regulation coefficient threshold, no signal is generated; If the cycle control coefficient is greater than or equal to the preset cycle control coefficient threshold, a shortening signal is generated.

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