Machine room equipment monitoring operation and maintenance method and system

Abstract

The invention relates to the technical field of equipment monitoring operation and maintenance, in particular to a machine room equipment monitoring operation and maintenance method and system, and the method comprises the following steps: obtaining initial monitoring data and historical operation and maintenance information of machine room equipment through a machine room monitoring system; analyzing the noise condition of the monitoring data based on the data, and constructing a data processing model to obtain target monitoring data of the machine room equipment; establishing an operation and maintenance management system and a data interaction evaluation model of the machine room equipment according to the monitoring data, and obtaining evaluation results of different operation and maintenance management layers in the operation and maintenance management system by using the interaction evaluation model; and adjusting the operation and maintenance management system based on the evaluation result, and carrying out real-time monitoring and comprehensive evaluation on the operation and maintenance condition of the machine room equipment in combination with the adjusted operation and maintenance management system and the historical operation and maintenance information. According to the invention, the monitoring data is optimized, the operation and maintenance management system is constructed and optimized, and the operation and maintenance efficiency, stability and economic benefits of the machine room equipment are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment monitoring and operation and maintenance, and in particular to a method and system for monitoring and operation of equipment in a computer room. Background Art

[0002] The operating status and efficiency of the equipment in the computer room are directly related to the continuity and stability of the business. Therefore, it is very important to conduct comprehensive and accurate monitoring and operation and maintenance of the equipment in the computer room. Implementing effective monitoring and operation and maintenance methods can timely discover and solve equipment failures, ensure the normal operation of the equipment in the computer room, and thus improve the stability and economic benefits of business operations.

[0003] With the continuous increase of equipment in the computer room and the continuous accumulation of monitoring data, more powerful data processing capabilities are needed to ensure the real-time and accuracy of monitoring data. The existing computer room monitoring and operation and maintenance system has problems such as insufficient processing capacity and insufficient accuracy when facing massive data. At the same time, the existing monitoring methods lack flexibility and scalability, and cannot adjust and optimize the monitoring mechanism according to actual needs and equipment conditions. Therefore, they cannot meet the monitoring and operation needs in specific scenarios, limiting the application scope and practical application value of the monitoring methods. In order to overcome related problems and limitations, a more advanced and intelligent computer room monitoring and operation and maintenance method and system are urgently needed to further ensure the stable operation and efficient operation and maintenance of computer room equipment and provide technical support for business operations. Summary of the invention

[0004] In view of the shortcomings of existing methods and the needs of practical applications, analyzing and processing the relevant data of computer room equipment can ensure the real-time and accuracy of monitoring data. At the same time, the operation and maintenance management system is reasonably regulated based on the equipment operation and maintenance needs and the actual monitoring situation, which is helpful to realize the timely monitoring and effective maintenance of potential faults of computer room equipment. On the one hand, the present invention provides a computer room equipment monitoring and operation method, which includes the following steps: obtaining the initial monitoring data and historical operation and maintenance information of the computer room equipment through the computer room monitoring system; analyzing the noise condition of the initial monitoring data based on the initial monitoring data and the historical operation and maintenance information, building a data processing model in combination with the noise condition, and obtaining the target monitoring data of the computer room equipment; establishing an operation and maintenance management system for computer room equipment according to the target monitoring data, building a data interactivity evaluation model, and using the data interactivity evaluation model to obtain the evaluation results of different operation and maintenance management levels in the operation and maintenance management system; adjusting the operation and maintenance management system based on the evaluation results and obtaining the adjusted operation and maintenance management system, and combining the adjusted operation and maintenance management system and the historical operation and maintenance information to monitor and comprehensively evaluate the operation and maintenance status of the computer room equipment in real time. The data processing model, operation and maintenance management system and real-time monitoring mechanism of the present invention can improve data accuracy, optimize operation and maintenance efficiency and enhance data interactivity, further ensuring the reliability and safety of computer room equipment.

[0005] Optionally, the obtaining of the initial monitoring data and historical operation and maintenance information of the equipment in the computer room through the computer room monitoring system includes: configuring an environment monitoring module, a power monitoring module, an equipment detection module, a security monitoring module and an information storage module in the computer room monitoring system; obtaining the initial monitoring data and historical operation and maintenance information of the equipment in the computer room through the environment monitoring module, the power monitoring module, the equipment detection module, the security monitoring module and the information storage module. The present invention comprehensively monitors the equipment in the computer room through multiple modules, thereby ensuring the comprehensiveness and accuracy of the monitoring data, and facilitating the subsequent timely discovery and resolution of potential equipment problems in the computer room.

[0006] Optionally, analyzing the noise condition of the initial monitoring data based on the initial monitoring data and the historical operation and maintenance information includes: constructing a data noise analysis model according to the initial monitoring data and the historical operation and maintenance information; obtaining a noise coefficient of the initial monitoring data through the data noise analysis model, and analyzing the noise condition of the initial monitoring data based on the noise coefficient; The data noise analysis model satisfies the following relationship:

[0007] in, Represents the noise coefficient of the monitoring data in the computer room, represents the adjustment scale parameter, represents the observed residual value, represents the weight parameter of the noise analysis model, The present invention analyzes the noise condition of the monitoring data through the model, which helps to improve the data accuracy, optimize the data processing flow and enhance the fault warning capability.

[0008] Optionally, the data processing model is constructed in combination with the noise condition, and the target monitoring data of the equipment in the computer room is obtained, including: constructing a system data processing model in combination with the noise coefficient and the initial monitoring data; optimizing the initial monitoring data using the system data processing model to obtain the target monitoring data of the equipment in the computer room. The present invention processes the monitoring data through the system data processing model, which can effectively reduce the noise component in the data, improve the accuracy and reliability of the data, help to more accurately understand the operating status of the equipment in the computer room, and provide data support for subsequent operation and maintenance decisions.

[0009] Optionally, the system data processing model satisfies the following relationship:

[0010] in, Indicates the final received equipment room equipment monitoring data, Represents the channel coefficient in the computer room monitoring system, Indicates the maximum sending ratio of monitoring data. represents the initial monitoring data set, Indicates the volatility index of the monitoring data. The noise coefficient of the monitoring data of the computer room is expressed. The model of the present invention comprehensively considers multiple key factors, and can accurately reflect the actual operating status of the equipment in the computer room, thereby obtaining more accurate and reliable monitoring data of the equipment in the computer room.

[0011] Optionally, the constructing of the data interactivity evaluation model includes: constructing a data interactivity evaluation model based on interactive operation and maintenance database requirements, the data interactivity evaluation model including: a data response time prediction function, a computer room monitoring range analysis function, and an information correlation evaluation function. The data interactivity evaluation model of the present invention helps to improve the practical application performance of the monitoring method and reduce the operation and maintenance costs of the computer room.

[0012] Optionally, the data response time prediction function satisfies the following relationship:

[0013] in, Indicates the time required for data interaction response. Represents the conversion weight coefficient of monitoring data, Indicates the conversion ratio of monitoring data, Indicates the storage range of system data. Indicates the storage failure threshold of system data; The monitoring range analysis function of the computer room satisfies the following relationship:

[0014] in, Indicates the controllable range of monitoring data. Indicates the number of directional matches of monitoring data. Indicates the correct matching rate of monitoring data, Indicates the update frequency of system monitoring data. Indicates the basic operation and maintenance area of ​​the system. Indicates the impact weight corresponding to the basic operation and maintenance area, Indicates the stacking operation and maintenance area of ​​the system. Indicates the influence weight of the stack operation and maintenance area; The information relevance evaluation function satisfies the following relationship:

[0015] in, Represents the correlation index between data at different operation and maintenance management levels. Indicates the weight coefficient corresponding to the data of type m operation and maintenance management layer, Indicates the number of times the m type of operation and maintenance management layer data appears. Indicates the weight coefficient corresponding to n types of operation and maintenance management layer data, Indicates the number of occurrences of type n operation and maintenance management layer data.

[0016] The results of the function of the present invention are conducive to optimizing monitoring strategies, risk assessment and operation and maintenance process adjustment, thereby promoting the progress and development of intelligent operation and maintenance technology.

[0017] Optionally, the use of the data interactivity evaluation model to obtain the evaluation results of different operation and maintenance management layers in the operation and maintenance management system includes: using the data response time prediction function to analyze the interactive response time between different operation and maintenance management layers in the operation and maintenance management system; mastering the controllable range of the operation and maintenance management system through the computer room monitoring range analysis function; using the information correlation evaluation function to analyze the degree of information correlation between different operation and maintenance management layers in the operation and maintenance management system; combining the interactive response time, the controllable range and the information correlation degree to obtain the evaluation results of different operation and maintenance management layers in the operation and maintenance management system. Based on the evaluation results of the interactive response time, controllable range and information correlation degree between different operation and maintenance management layers, the present invention formulates targeted optimization strategies to promote the continuous improvement and optimization of computer room equipment operation and maintenance management.

[0018] Optionally, the adjustment of the operation and maintenance management system based on the evaluation result includes: adjusting the update frequency of the operation and maintenance management system according to the interactive response time; adjusting the information storage conditions of the operation and maintenance management system based on the controllable range; and adjusting the information classification mechanism of the operation and maintenance management system according to the information correlation degree. The present invention adjusts the operation and maintenance management system so that the present invention is more adaptable to the needs of data-driven decision-making, can continuously optimize the operation and maintenance strategy and resource allocation, improve the scientificity and accuracy of decision-making, and thus improve the safety and operation and maintenance efficiency of computer room equipment.

[0019] In the second aspect, in order to efficiently execute a computer room equipment monitoring and operation method provided by the present invention, the present invention also provides a computer room equipment monitoring and operation system, the above system includes a processor, an input device, an output device and a memory, the processor, the input device, the output device and the memory are interconnected, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions to execute the computer room equipment monitoring and operation method as described in the first aspect of the present invention. The computer room equipment monitoring and operation system of the present invention has a compact structure and stable performance, and can stably execute the computer room equipment monitoring and operation method provided by the present invention, thereby improving the overall applicability and practical application ability of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 This is a flow chart of the computer room equipment monitoring and operation and maintenance method of the present invention; Figure 2 This is a structural diagram of the computer room equipment monitoring and operation and maintenance system of the present invention. DETAILED DESCRIPTION

[0021] The specific embodiments of the present invention will be described in detail below. It should be noted that the embodiments described herein are only for illustration and are not intended to limit the present invention. In the following description, a large number of specific details are set forth in order to provide a thorough understanding of the present invention. However, it is obvious to those of ordinary skill in the art that these specific details do not need to be adopted to implement the present invention. In other examples, in order to avoid confusing the present invention, known circuits, software or methods are not specifically described.

[0022] Throughout the specification, references to "one embodiment," "an embodiment," "an example," or "an example" mean that a particular feature, structure, or characteristic described in conjunction with the embodiment or example is included in at least one embodiment of the present invention. Therefore, the phrases "in one embodiment," "in an embodiment," "an example," or "an example" appearing in various places throughout the specification do not necessarily all refer to the same embodiment or example. In addition, particular features, structures, or characteristics may be combined in one or more embodiments or examples in any suitable combination and / or subcombination. In addition, it should be understood by those of ordinary skill in the art that the figures provided herein are for illustrative purposes and that the figures are not necessarily drawn to scale.

[0023] See also Figure 1 In order to promote real-time monitoring and efficient maintenance of computer room equipment, improve computer room management and operation and maintenance efficiency, and enhance the stability and reliability of computer room equipment. The present invention provides a computer room equipment monitoring and operation method, which includes the following steps: S1. Obtain the initial monitoring data and historical operation and maintenance information of the equipment in the computer room through the computer room monitoring system. The specific steps and implementation contents are as follows: First of all, it is necessary to configure multiple data detection modules in the computer room monitoring system, including but not limited to environmental monitoring module, power monitoring module, equipment detection module, security monitoring module and information storage module. The above modules work together to constitute the core function of the computer room monitoring system, providing a technical basis for all-round monitoring of computer room equipment. The computer room monitoring system in the embodiment adopts a modular design method, so that the various modules can be flexibly combined and expanded, thereby meeting the monitoring needs of computer rooms of different scales and needs, and helping to realize centralized management and intelligent monitoring of computer rooms.

[0024] Then, the initial monitoring data and historical operation and maintenance information of the equipment in the computer room are obtained through the above-mentioned environment monitoring module, power monitoring module, equipment detection module, security monitoring module and information storage module.

[0025] The monitoring content of the environmental monitoring module includes but is not limited to temperature, humidity, air quality and water leakage. It can also increase the monitoring of related parameters such as light intensity, noise level, vibration conditions, etc. in the computer room.

[0026] The power monitoring module needs to monitor the operating status of UPS, AC input, power distribution cabinet, PDU and other equipment, and also needs to monitor the power quality such as voltage fluctuation, frequency deviation and other information. When the power parameters of the computer room are abnormal, the computer room monitoring system can automatically issue an early warning, thereby ensuring the stable operation of the equipment in the computer room.

[0027] The equipment detection module mainly monitors IT infrastructure such as servers, storage devices, network equipment, etc., and also conducts real-time monitoring of other important equipment in the computer room such as air conditioning, fresh air system, fire protection system, etc. Real-time monitoring of the operating status and performance parameters of the equipment is conducive to the effective maintenance and scientific adjustment of the equipment in the computer room.

[0028] The security monitoring module includes but is not limited to video surveillance, access control system, intrusion alarm, etc. At the same time, physical protection is added in important areas of the computer room, such as anti-theft nets, bulletproof glass, etc., to further strengthen the security of the computer room, which is conducive to reducing the probability of illegal attacks and data leaks.

[0029] The information storage module mainly uses advanced storage technology and equipment to ensure efficient storage and intelligent management of computer room equipment monitoring data; at the same time, a complete information backup mechanism is established to ensure that the computer room monitoring data can be quickly restored when it is lost or damaged.

[0030] In this embodiment, the above modules are fully utilized to collect monitoring data of the equipment in the computer room. The environmental monitoring module is responsible for real-time monitoring of key environmental parameters such as temperature, humidity, air quality and water leakage in the computer room to ensure that the computer room environment is always kept in the best state for equipment operation; the power monitoring module closely monitors the power equipment in the computer room, including UPS, AC input, distribution cabinet and PDU, etc., to prevent service interruptions that may be caused by power failures; the equipment detection module focuses on the operating status of IT infrastructure such as servers, storage devices, network equipment and security equipment, and obtains their performance data and fault information in real time; the security monitoring module ensures the physical security of the computer room through video monitoring, access control system and intrusion alarm.

[0031] At the same time, the information storage module is responsible for efficiently storing and managing the initial monitoring data and historical monitoring information collected by the above modules, providing data support for subsequent equipment operation and maintenance analysis and decision-making adjustments. In addition, other functions of the computer room monitoring system can be expanded and improved according to the equipment conditions of the computer room, and more advanced sensors and monitoring equipment can be planned or introduced to help improve the accuracy and real-time performance of the initial monitoring data, ensure the integrity of historical operation and maintenance information, and provide data support for the subsequent operation and maintenance management of the computer room.

[0032] Furthermore, the method for acquiring monitoring data and historical information in the embodiment is only an optional condition of the present invention. In one or some other embodiments, the method for acquiring monitoring data and historical information can be optimized according to the actual operation of the monitoring system and the monitoring data collection requirements, which can more accurately capture the operating status and performance parameters of the computer room equipment, reduce data errors and noise, and improve data accuracy and reliability.

[0033] S2. Analyze the noise conditions of the initial monitoring data based on the initial monitoring data and historical operation and maintenance information, build a data processing model based on the above noise conditions, and obtain the target monitoring data of the equipment room equipment. The specific steps and implementation contents are as follows: In the embodiment, a data noise analysis model is constructed based on the initial monitoring data and historical operation and maintenance information, the noise coefficient of the initial monitoring data is obtained through the data noise analysis model, and the noise condition of the initial monitoring data is analyzed based on the noise coefficient.

[0034] In this embodiment, a data noise analysis model is constructed based on the initial monitoring data and historical operation and maintenance information of step S1. This model can analyze and quantify the noise conditions in the initial monitoring data, thereby providing information basis for subsequent monitoring data processing and computer room operation and maintenance decisions.

[0035] A data noise analysis model was established by introducing multiple key parameters. The noise coefficient of the initial monitoring data was calculated through the data noise analysis model, which can intuitively reflect the noise level and impact degree in the monitoring data, and then reveal the intrinsic relationship between the noise coefficient and various parameters. This model provides a data noise quantification method to realize the analysis of data noise conditions.

[0036] The above data noise analysis model satisfies the following relationship:

[0037] in, Represents the noise coefficient of the monitoring data in the computer room, represents the adjustment scale parameter, represents the observed residual value, represents the weight parameter of the noise analysis model, Represents the smoothing parameter of the computer room monitoring data.

[0038] The noise coefficient of the computer room monitoring data is a quantitative indicator that can be used to evaluate the noise level and impact of the computer room monitoring data. The noise coefficient directly reflects the accuracy and reliability of the computer room monitoring data. A higher noise coefficient means that the data contains more noise and interference, which will affect the subsequent interpretation and analysis of the data, and even mislead subsequent decisions and adjustments; while a lower noise coefficient indicates that the data is relatively pure, with less noise and interference, and more accurate data interpretation and analysis can be performed.

[0039] Adjusting the scale parameter plays a regulatory role in the model, which determines the sensitivity of the model to outliers. By adjusting the value of the scale parameter, the model's response intensity when facing outliers can be controlled, and the impact of data outliers on the overall information quality can be reduced to a certain extent.

[0040] The observed residual value refers to the difference between the actual observed data point and the predicted or expected data point. In this embodiment, the predicted or expected data point is mainly set and adjusted based on the historical operation and maintenance information. In the data noise analysis, the size of the observed residual value directly reflects the noise level in the data. By calculating and analyzing the observed residual value, the fluctuation and uncertainty of the system monitoring data can be further understood.

[0041] The weight parameter of the noise function determines the relative importance of the noise function in calculating the total noise coefficient or the degree of data loss. By adjusting the weight value, the influence of data points under different residual conditions on outliers can be controlled.

[0042] Data smoothing parameters can be used to control the degree of smoothness of the loss function when dealing with large residuals to avoid overly drastic changes that have an adverse effect on model stability. Adjusting the smoothing parameters can improve the robustness and generalization ability of the model.

[0043] The above parameters play an important role in the data noise analysis model, and jointly determine the model's sensitivity to data, prediction accuracy, robustness, and numerical stability. Reasonable adjustment of relevant parameter values ​​can optimize the actual application performance of the data noise analysis model and make it better adapt to different application scenarios and data monitoring environments.

[0044] The data noise analysis model can provide a deeper understanding of the noise characteristics and laws of the computer room monitoring data, providing strong support for subsequent data processing and computer room operation decisions. At the same time, the above model also provides an important reference for the optimization and improvement of the computer room monitoring system, which helps to continuously improve the reliability and feasibility of the monitoring system.

[0045] A system data processing model was further constructed in combination with the above noise coefficient and initial monitoring data. At the same time, the system data processing model was used to optimize the initial monitoring data to obtain the target monitoring data of the equipment in the computer room.

[0046] Based on the monitoring requirements of the computer room equipment, a system data processing model was constructed in combination with the noise coefficient and the initial monitoring data. The above model aims to extract more accurate and reliable computer room equipment monitoring data from the initial monitoring data through a series of mathematical operations and optimization algorithms.

[0047] The above system data processing model satisfies the following relationship:

[0048] in, Indicates the final received equipment room equipment monitoring data, Represents the channel coefficient in the computer room monitoring system, Indicates the maximum sending ratio of monitoring data. represents the initial monitoring data set, Indicates the volatility index of the monitoring data. Indicates the noise coefficient of the equipment room monitoring data.

[0049] The computer room equipment monitoring data finally received refers to the target data actually obtained from the computer room equipment monitoring system after being optimized by the system data processing model, which is used to reflect the equipment status or performance. It is the basis for effective monitoring, management and maintenance of computer room equipment.

[0050] The channel coefficient in the computer room monitoring system can be used to describe the degree of attenuation or gain of the Internet communication transmission execution module on the signal. The channel coefficient can be positive or negative. A positive value indicates that the signal is attenuated to a certain extent during the transmission process, while a negative value indicates that the signal is enhanced during the transmission process. The channel coefficient of the Internet communication transmission execution module can be calculated by measuring the input power and output power of the signal, which helps to understand the degree of influence of the channel on signal transmission.

[0051] The maximum transmission ratio of monitoring data refers to the maximum data transmission ratio or capacity that can be achieved during the transmission process in the monitoring system. This parameter is crucial for the effective transmission of data and the stable operation of the system.

[0052] The initial monitoring data set mainly includes the initial monitoring data collected from the equipment in the computer room.

[0053] The volatility index of monitoring data can be used to measure the degree of data volatility. In the computer room monitoring system, the above index reflects the stability and predictability of monitoring data within a certain period of time. When the volatility index is low, it means that the data volatility is small, the data stability and predictability are good, which means that the computer room equipment is in a stable operating state, or the equipment performance is relatively stable. On the contrary, when the volatility index is high, it means that the data volatility is large, the data stability and predictability are poor, which means that there are some unstable factors in the computer room equipment, or the equipment performance is changing.

[0054] By optimizing the initial monitoring data through the above data processing model, it is possible to obtain computer room equipment monitoring data that is closer to the actual value, that is, to obtain the target monitoring data of the computer room equipment.

[0055] In order to effectively obtain the target monitoring data of the computer room equipment, an Internet communication transmission execution module is added to the computer room equipment monitoring and operation system in this embodiment. The specific design content of the Internet communication transmission execution module in the embodiment is as follows: In order to realize the real-time transmission and remote monitoring of the equipment monitoring data in the computer room, an Internet communication transmission execution module is also designed. The above module uses the Internet network technology to establish a communication channel between the equipment room monitoring system, the data noise analysis model and the system data processing model. At the same time, a data transmission relationship function is also established in the communication channel to describe the behavioral characteristics of the data during the transmission process, further ensuring the integrity and accuracy of the target monitoring data during the transmission process, while reducing the risk of data loss or errors.

[0056] On the other hand, the Internet communication transmission execution module also has the following functions: Data encryption and secure transmission: Use advanced encryption technology to ensure the security of target monitoring data during transmission and prevent data leakage or malicious tampering.

[0057] Data compression and decompression: In order to improve the transmission efficiency of target monitoring data, the module has a data compression function, which can compress a large amount of data before transmission, and the receiving end can decompress and restore the data.

[0058] Data verification and error handling: During data transmission, the module will perform target monitoring data verification to ensure data integrity and accuracy. Once data errors or loss are found, the module will take corresponding error handling measures, such as retransmitting or discarding erroneous data.

[0059] To sum up, in this embodiment, the system data processing model and the Internet communication transmission execution module are used to further realize the remote monitoring and real-time processing of the target monitoring data of the computer room equipment, which not only improves the operation and maintenance efficiency of the computer room equipment, but also reduces the operation and maintenance costs, and provides a guarantee for the stable operation and scientific maintenance of the computer room equipment.

[0060] Furthermore, the method for acquiring target monitoring data of computer room equipment in the present embodiment is only an optional condition of the present embodiment. In one or some other embodiments, the method for acquiring computer room equipment monitoring data may be adjusted according to data optimization requirements and the actual situation of computer room equipment monitoring data. Different computer room equipment, monitoring scenarios and operation and maintenance objectives put forward different requirements for the method for acquiring monitoring data. By adjusting the acquisition method, it can be ensured that the system can flexibly adapt to various changes and meet different monitoring requirements, which helps to ensure the stability and reliability of computer room equipment.

[0061] S3. An operation and maintenance management system for computer room equipment was established based on the target monitoring data. A data interactivity evaluation model was further constructed. The evaluation results of different operation and maintenance management levels in the operation and maintenance management system were obtained using the above data interactivity evaluation model. The specific steps and implementation contents are as follows: First, establish an operation and maintenance management system for computer room equipment based on target monitoring data.

[0062] In the embodiment, a comprehensive and detailed computer room equipment operation and maintenance management system is constructed based on the target monitoring data. The above system not only fully considers the operation and maintenance requirements of the computer room equipment, but also deeply analyzes the operation and maintenance characteristics of the equipment, and closely combines it with the overall operation and maintenance requirements of the computer room.

[0063] During the construction process, the target monitoring data was classified and processed. The classification was not only based on the type and source of the monitoring data, but also took into more in-depth consideration the role and importance of the data in operation and maintenance management. Through classification processing, the target monitoring data was transformed into an operation and maintenance management system with a clear hierarchy and structure.

[0064] The above-mentioned computer room equipment operation and maintenance management system is composed of multiple different levels of operation and maintenance management layers. Different management layers are both independent and closely related to each other, and together they form a complete operation and maintenance management network. Each operation and maintenance management layer has its own unique data characteristics, and the relevant characteristics jointly reflect the specific functions and roles of this layer in operation and maintenance management.

[0065] In addition to data features, clear information feature points are defined for each operation and maintenance management layer. The above feature points are further refinements and supplements to the monitoring data features, including but not limited to specific information such as data collection, processing, analysis and utilization methods. Through the relevant information feature points, we can more clearly understand the position and role of each operation and maintenance management layer in the operation and maintenance management system.

[0066] In addition, management demand points are set for each operation and maintenance management level. The demand points are formulated based on the operation and maintenance requirements and operation and maintenance characteristics of the equipment in the computer room. The goals and tasks that each operation and maintenance management level should achieve in the operation and maintenance management system are set, and based on the management demand points, it is further ensured that the operation and maintenance management system can continuously and effectively support the operation and maintenance of the equipment in the computer room.

[0067] To sum up, the operation and maintenance management system of computer room equipment is a multi-level, multi-feature, and multi-demand complex management system, which not only covers all aspects and levels of computer room equipment, but also fully considers the classification, characteristics, and management needs of data. The establishment of the operation and maintenance management system of computer room equipment provides comprehensive, accurate, and timely operation and maintenance management information, which provides favorable support for the stable operation and efficient management of computer room equipment.

[0068] Then, a data interactivity evaluation model is constructed based on the interactive operation and maintenance database requirements. The data interactivity evaluation model mainly includes: data response time prediction function, computer room monitoring range analysis function and information correlation evaluation function.

[0069] Based on the above-mentioned Internet communication transmission execution module, an interactive operation and maintenance database can be further designed and built. This database will be used to support the efficient operation of the computer room equipment monitoring and operation and maintenance methods. With the dual support of Internet communication transmission technology and interactive operation and maintenance data technology, it can analyze the response status of system monitoring data, which is crucial for the stable operation and maintenance of computer room equipment.

[0070] The data response time prediction function takes into account multiple key factors, including the conversion weight coefficient of the monitoring data, the conversion ratio, the data, and the system data failure threshold. Moreover, the above factors interact with each other and jointly affect the time required for data interaction response.

[0071] The above data response time prediction function satisfies the following relationship:

[0072] in, Indicates the time required for data interaction response. Represents the conversion weight coefficient of monitoring data, Indicates the conversion ratio of monitoring data, Indicates the storage range of system data. Indicates the storage failure threshold of system data; The time required for data interaction response refers to the time interval from when the computer room monitoring system sends data to when the system completes data processing and obtains the target monitoring data. The above time interval is one of the important indicators to measure the system response speed and data interaction efficiency.

[0073] The conversion weight coefficient of monitoring data refers to the numerical value assigned in the multi-factor evaluation or decision-making process to reflect the importance of different monitoring data in the overall evaluation. The above coefficient can more accurately reflect the contribution of monitoring data in the overall evaluation, making the operation and maintenance plan of the computer room equipment more scientific and reasonable.

[0074] The monitoring data conversion ratio refers to the proportional relationship between the amount of target detection data and the amount of initial monitoring data during the data conversion or processing process, which directly affects the efficiency and convertibility of data interaction.

[0075] The storage range of system data reflects the amount of data that the system can store and process. When the amount of data exceeds the storage range, it will lead to loss of monitoring data or processing delays, thereby affecting the response time of data interaction.

[0076] The storage failure threshold of system data refers to the critical point at which system data storage fails. When the amount of data stored approaches or exceeds this threshold, the stability and reliability of the system will be affected, resulting in a longer data interaction response time.

[0077] The data response time prediction function helps to identify potential factors that may affect data response time in advance, providing reference information and optimization basis for the performance optimization of the computer room monitoring system. At the same time, it can discover potential computer room failure points in advance, avoid emergency repairs and downtime after equipment failure, thereby reducing the operation and maintenance costs of computer room equipment.

[0078] Further analyze the controllable scope of computer room operation and maintenance.

[0079] When analyzing the controllable scope of the operation and maintenance of the computer room data, the operation and maintenance data range prediction model needs to be combined with the operation and maintenance test requirements of the computer room to clearly define the controllable boundaries of the computer room operation and maintenance. On this basis, further association and construction of the computer room operation and maintenance system program not only provides a technical foundation for subsequent system optimization, but also ensures the efficient operation and maintenance process of the computer room equipment.

[0080] In this embodiment, the controllable range of the computer room monitoring data is quantified through mathematical operations. Based on the computer room monitoring range analysis function and combined with the operation and maintenance system program, a comprehensive and accurate grasp of the controllable range of computer room equipment data operation and maintenance can be achieved, thereby effectively ensuring the stable operation and efficient management of the computer room equipment.

[0081] The above-mentioned computer room monitoring range analysis function satisfies the following relationship:

[0082] in, Indicates the controllable range of monitoring data. Indicates the number of directional matches of monitoring data. Indicates the correct matching rate of monitoring data, Indicates the update frequency of system monitoring data. Indicates the basic operation and maintenance area of ​​the system. Indicates the impact weight corresponding to the basic operation and maintenance area, Indicates the stacking operation and maintenance area of ​​the system. Indicates the influence weight of the stack operation and maintenance area; The controllable range of monitoring data refers to the degree or limit to which the monitoring data in the computer room can be effectively collected, processed, analyzed and utilized within a specific range through a series of technical means and management measures. Calculating the controllable range of monitoring data not only reflects the monitoring ability of the monitoring system on the equipment in the computer room, but also helps to accurately grasp the operation and maintenance status of the equipment in the computer room.

[0083] The number of targeted matches of monitoring data refers to the number of times the data is accurately matched to the corresponding rules or conditions for the initial monitoring data and historical operation and maintenance information. Based on this, the accuracy of the monitoring and operation and maintenance data can be further measured.

[0084] The correct matching rate of monitoring data refers to the ratio between the amount of data that correctly matches the preset rules or conditions in the monitoring system and the total amount of monitoring data. The above ratio directly reflects the accuracy and efficiency of the monitoring system and is one of the important indicators for measuring the performance of the monitoring system.

[0085] The above correct matching rate satisfies the following relationship:

[0086] Update frequency refers to the frequency at which the monitoring system updates and refreshes the various monitoring indicator data in the computer room or network environment during the monitoring period. The frequency is usually measured in time intervals, such as per second, per minute, per hour or per day. The level of update frequency directly affects the sensitivity and response speed of the monitoring system to changes in the computer room or network environment. In the embodiment, the update frequency of the system monitoring data depends on multiple factors, including but not limited to the performance of the monitoring system, the number of monitored objects, the complexity and real-time requirements of the monitoring data, etc. If the monitoring system has powerful performance, can process a large amount of monitoring data at the same time, and is required to reflect the changes in the computer room or network environment in real time, then the update frequency will usually be higher. On the contrary, if the monitoring system performance is limited, or the real-time requirements of the monitoring data are not high, then the update frequency will be reduced accordingly.

[0087] The basic operation and maintenance area refers to the operation and maintenance work area that manages and maintains system monitoring data. Setting and adjusting the basic operation and maintenance area based on historical maintenance information can ensure the stable operation of the equipment in the computer room, reduce the risk of equipment failure, and improve the feasibility and scientificity of the equipment operation and maintenance plan.

[0088] The stacking operation and maintenance area refers to the division of the equipment operation and maintenance area of ​​the computer room into multiple areas or levels in the system to facilitate better equipment management and maintenance. The above stacking operation and maintenance area specifically refers to the operation and maintenance work areas involving the system stacking structure such as server stacking, storage stacking, etc.

[0089] The impact weight of different data operation and maintenance areas refers to the degree of influence of each operation and maintenance area on the stability and performance of the computer room during the equipment operation and maintenance process. This weight can usually be obtained through a comprehensive evaluation of factors such as the importance, complexity, and fault impact scope of different operation and maintenance areas.

[0090] The computer room monitoring range analysis function can perform quantitative analysis on the monitoring range, improve the accuracy and predictability of the controllable range of computer room equipment data operation and maintenance, optimize resource allocation, improve operation and maintenance efficiency, support decision-making, and promote system optimization, which is of great significance for ensuring the stable operation and efficient management of computer room equipment.

[0091] Next, we analyze the correlation indicators of different operation and maintenance management layers in the equipment room operation and maintenance management system, and then measure the connection rules and correlation strength between different operation and maintenance management layers. After the target monitoring data completes the classification task, the correlation analysis not only helps to understand the internal correlation relationship of the monitoring data, but also provides a basis for the normal operation and scientific management of subsequent equipment room equipment through specific correlation indicators.

[0092] Correlation evaluation helps to discover the correlation between data at different operation and maintenance management levels. During the operation and maintenance of equipment in the computer room, correlation analysis can reveal the intrinsic connection between data at different operation and maintenance management levels, providing a reference for the computer room operation and maintenance plan.

[0093] The above information relevance evaluation function satisfies the following relationship:

[0094] in, Represents the correlation index between data at different operation and maintenance management levels. Indicates the weight coefficient corresponding to the data of type m operation and maintenance management layer, Indicates the number of times the m type of operation and maintenance management layer data appears. Indicates the weight coefficient corresponding to n types of operation and maintenance management layer data, Indicates the number of occurrences of type n operation and maintenance management layer data.

[0095] The correlation index can be used to measure the degree of correlation between two or more variables. In the operation and maintenance management system, there are often complex correlations between the data at different operation and maintenance management levels. For example, data at the business layer, such as business transaction volume and user activity, are correlated with data at the application layer, such as application response time and error rate; at the same time, application layer data may be correlated with data at the infrastructure layer, such as server performance and network status. By calculating the correlation index between data at different levels, operation and maintenance managers can better understand the mutual influence and dependency between equipment in the computer room, and thus more effectively perform computer room troubleshooting, performance optimization, and resource scheduling.

[0096] The weight coefficient corresponding to the data at different operation and maintenance management levels refers to the importance measurement value assigned to the data at different operation and maintenance management levels in the operation and maintenance management system. The above weight coefficient reflects the importance of the data at different operation and maintenance management levels relative to the overall operation and maintenance management in the comprehensive evaluation or operation and maintenance decision-making process.

[0097] The number of times data from different operation and maintenance management layers appear refers to the frequency with which data from different operation and maintenance management layers, such as the business layer, application layer, infrastructure layer, etc., appear during the recording, analysis or monitoring process during the operation and maintenance management of the computer room. The above indicators further reflect the activity, importance, and possible problems or trends of data from different operation and maintenance management layers.

[0098] Through correlation analysis, the correlation between data at different operation and maintenance management levels can be discovered. Based on the correlation, operation and maintenance resources can be reasonably allocated to improve resource utilization and operation and maintenance efficiency, so that the computer room equipment monitoring and operation and maintenance method can better ensure the normal operation and scientific management of computer room equipment.

[0099] Then, in an optional embodiment, a data response time prediction function is used to analyze the interaction response time between different operation and maintenance management layers in the operation and maintenance management system; the controllable range of the operation and maintenance management system is grasped through the computer room monitoring range analysis function; the information correlation degree between different operation and maintenance management layers in the operation and maintenance management system is analyzed using the information correlation evaluation function; and the evaluation results of different operation and maintenance management layers in the operation and maintenance management system can be obtained by combining the interaction response time, controllable range and information correlation degree.

[0100] In the embodiment, a variety of data analysis functions are used to comprehensively evaluate the equipment operation and maintenance management system of the computer room. Specifically, a data response time prediction function is deployed, which can analyze and predict the interactive response time between different operation and maintenance management layers in the operation and maintenance management system, so as to effectively identify and solve potential response delay problems. At the same time, a computer room monitoring range analysis function is also used, which can analyze the actual monitoring and control range of the operation and maintenance management system, and can more effectively monitor and manage various types of equipment in the computer room.

[0101] In addition, in order to understand the fluidity and correlation of information within the operation and maintenance management system, an information correlation evaluation function is set up. This function can quantitatively analyze the information interaction and correlation between different operation and maintenance management levels, reveal the internal connections and mutual influences between different operation and maintenance management levels, and thus more accurately grasp the overall structure and dynamic changes of the operation and maintenance management system.

[0102] Finally, the interactive response time, controllable range and degree of information correlation are comprehensively considered and analyzed to obtain a comprehensive evaluation result of different operation and maintenance management levels in the operation and maintenance management system. The above evaluation results not only reflect the performance and efficiency of each operation and maintenance management level, but also reveal the synergy and potential risks between equipment. Based on this, the optimization and improvement of the operation and maintenance management system can be more effectively guided, which is helpful to improve the overall operation and maintenance efficiency and stability of the computer room.

[0103] Furthermore, the implementation steps and related methods of the operation and maintenance management system in this embodiment are merely optional conditions of this embodiment. In one or some other embodiments, the implementation steps and methods of the operation and maintenance management system can be adjusted according to the operating requirements of the computer room equipment and the actual situation of the computer room operation and maintenance management, which can ensure that the computer room operation and maintenance work is more in line with actual needs, thereby improving the operation and maintenance efficiency of the computer room equipment, and helping to improve the pertinence and effectiveness of the computer room operation and maintenance plan.

[0104] S4. Adjust the operation and maintenance management system based on the evaluation results and obtain the adjusted operation and maintenance management system. Combine the adjusted operation and maintenance management system with historical operation and maintenance information to conduct real-time monitoring and comprehensive evaluation of the operation and maintenance status of the equipment in the computer room. The specific steps and implementation contents are as follows: In an optional embodiment, the above operation and maintenance management system is adjusted based on the evaluation results to obtain an adjusted operation and maintenance management system, wherein the update frequency of the operation and maintenance management system is adjusted according to the interactive response time; the information storage conditions of the operation and maintenance management system are adjusted based on the controllable range; and the information classification mechanism of the operation and maintenance management system is adjusted according to the degree of information correlation. The specific contents are as follows: In order to obtain a more efficient, stable and adaptable operation and maintenance management system. First, according to the evaluation results of the interactive response time, the update frequency of the operation and maintenance management system is adjusted. By analyzing the interactive response time between different operation and maintenance management levels, the links with long response time or frequent delays can be identified, and the update strategy of the operation and maintenance management system can be adjusted accordingly. For links with long response time, the update frequency can be increased to ensure that the system can respond and handle various changes in time; for links with stable and fast responses, the update frequency can be appropriately reduced to reduce unnecessary information interference.

[0105] Secondly, based on the evaluation results of the controllable scope, the information storage conditions of the operation and maintenance management system are optimized. After clarifying the actual monitoring and control scope of the operation and maintenance management system, the monitoring and storage requirements of information can be determined more accurately, and the capacity, speed, and security of information storage can be adjusted accordingly. This helps to manage operation and maintenance data more effectively and ensure the integrity and availability of the monitoring information of the equipment in the computer room.

[0106] Finally, the information classification mechanism of the operation and maintenance management system is improved based on the evaluation results of the information correlation degree. By quantitatively analyzing the information interaction and correlation degree between different operation and maintenance management levels, the internal connection and hierarchical structure between different information can be more clearly identified. On this basis, scientific and reasonable classification of information can ensure that information is efficiently stored, retrieved and used, which not only improves the operation and maintenance efficiency of computer room equipment, but also helps to better understand and optimize the overall structure of the operation and maintenance management system.

[0107] To sum up, the adjustment strategy in the embodiment is comprehensive and flexible. The operation and maintenance management system is scientifically and targetedly optimized based on the evaluation results. Through continuous adjustment and improvement, it can ensure that the operation and maintenance management system always remains in the best state, providing strong guarantee for the stable operation of computer room equipment and the sustainable development of business.

[0108] Finally, the operation and maintenance status of the computer room equipment is monitored in real time and comprehensively evaluated in combination with the adjusted operation and maintenance management system and historical operation and maintenance information.

[0109] In this embodiment, the adjusted operation and maintenance management system is combined with the historical operation and maintenance information to obtain a comprehensive and efficient computer room equipment operation and maintenance monitoring and comprehensive evaluation system. The above system not only makes full use of the optimized and upgraded operation and maintenance management system, but also deeply mines the relevant reference information and practice standards contained in the historical operation and maintenance information, which helps to realize the real-time monitoring and effective evaluation of the operation and maintenance status of computer room equipment.

[0110] Based on the adjusted operation and maintenance management system, a real-time monitoring mechanism for computer room equipment has been established. This mechanism can dynamically capture various data and information generated by computer room equipment during operation, including but not limited to equipment status, performance indicators, fault alarms, etc., and conduct real-time analysis and processing of the above data, which helps to timely discover and solve potential operation and maintenance problems, thereby ensuring the stable operation of computer room equipment.

[0111] At the same time, the operation and maintenance status of the equipment in the computer room is compared and analyzed and comprehensively evaluated in combination with historical operation and maintenance information. The above historical operation and maintenance information contains a large amount of operation and maintenance experience and reference information. Analyzing and mining it can better understand the operation rules and potential risks of the equipment in the computer room. On this basis, more scientific and reasonable operation and maintenance strategies and accident warning measures can be formulated to reduce the failure rate of equipment in the computer room and improve operation and maintenance efficiency and work quality.

[0112] In summary, the above steps and implementation processes not only help to fully and objectively understand the operation and maintenance status of the computer room equipment, but also provide a strong basis for decision-making for the operation and maintenance management team. Through real-time monitoring and comprehensive evaluation, problems and challenges in the operation and maintenance process can be discovered and resolved in a timely manner, further ensuring the stable operation of the computer room equipment and the sustainable development of related businesses.

[0113] Combining the adjusted operation and maintenance management system with historical operation and maintenance information, real-time monitoring and comprehensive evaluation of the operation and maintenance of computer room equipment are carried out, which not only improves the operation and maintenance efficiency and economic benefits, but also provides a strong guarantee for the stable operation of computer room equipment and sustainable business development.

[0114] See also Figure 2 In an optional embodiment, in order to efficiently execute a computer room equipment monitoring and operation method provided by the present invention, the present invention also provides a computer room equipment monitoring and operation system, the above-mentioned computer room equipment monitoring and operation system includes a processor, an input device, an output device and a memory, the above-mentioned processor, input device, output device and memory are interconnected, wherein the above-mentioned memory is used to store a computer program, the above-mentioned computer program includes program instructions, and the above-mentioned processor is configured to call the above-mentioned program instructions to execute the specific steps of the relevant embodiments of the computer room equipment monitoring and operation method provided by the present invention. The computer room equipment monitoring and operation system of the present invention has a complete structure, objective and stable, and can efficiently execute the computer room equipment monitoring and operation method of the present invention, thereby improving the overall applicability and practical application ability of the present invention.

[0115] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification of the present invention.

Claims

1. A method for monitoring and operating equipment in a computer room, characterized in that: The steps include: Obtain initial monitoring data and historical operation and maintenance information of equipment in the computer room through the computer room monitoring system; Analyze the noise condition of the initial monitoring data based on the initial monitoring data and the historical operation and maintenance information, build a data processing model in combination with the noise condition, and obtain target monitoring data of the equipment in the computer room; Establishing an operation and maintenance management system for computer room equipment according to the target monitoring data, constructing a data interactivity evaluation model, and using the data interactivity evaluation model to obtain evaluation results of different operation and maintenance management levels in the operation and maintenance management system; The operation and maintenance management system is adjusted based on the evaluation results to obtain an adjusted operation and maintenance management system, and the operation and maintenance status of the equipment in the computer room is monitored and comprehensively evaluated in real time in combination with the adjusted operation and maintenance management system and the historical operation and maintenance information.

2. The computer room equipment monitoring and operation method according to claim 1, characterized in that: The initial monitoring data and historical operation and maintenance information of the equipment in the computer room obtained through the computer room monitoring system includes: Configure an environment monitoring module, a power monitoring module, an equipment detection module, a security monitoring module and an information storage module in the computer room monitoring system; The initial monitoring data and historical operation and maintenance information of the equipment in the computer room are obtained through the environment monitoring module, the power monitoring module, the equipment detection module, the security monitoring module and the information storage module.

3. The computer room equipment monitoring and operation method according to claim 1, characterized in that: Analyzing the noise condition of the initial monitoring data based on the initial monitoring data and the historical operation and maintenance information includes: Constructing a data noise analysis model based on the initial monitoring data and the historical operation and maintenance information; Obtaining a noise coefficient of the initial monitoring data through the data noise analysis model, and analyzing the noise condition of the initial monitoring data based on the noise coefficient; The data noise analysis model satisfies the following relationship: ， in, Represents the noise coefficient of the monitoring data in the computer room, represents the adjustment scale parameter, represents the observed residual value, represents the weight parameter of the noise analysis model, Represents the smoothing parameter of the computer room monitoring data.

4. The computer room equipment monitoring and operation method according to claim 3 is characterized in that: The step of building a data processing model in combination with the noise condition and obtaining target monitoring data of the equipment in the computer room includes: constructing a system data processing model in combination with the noise coefficient and the initial monitoring data; The system data processing model is used to optimize the initial monitoring data to obtain target monitoring data of the equipment in the computer room.

5. The computer room equipment monitoring and operation method according to claim 4 is characterized in that: The system data processing model satisfies the following relationship: ， in, Indicates the final received equipment room equipment monitoring data, Represents the channel coefficient in the computer room monitoring system, Indicates the maximum sending ratio of monitoring data. represents the initial monitoring data set, Indicates the volatility index of the monitoring data. Indicates the noise coefficient of the equipment room monitoring data.

6. The computer room equipment monitoring and operation method according to claim 1, characterized in that: The constructing of the data interactivity evaluation model comprises: A data interactivity evaluation model is constructed based on the interactive operation and maintenance database requirements. The data interactivity evaluation model includes: a data response time prediction function, a computer room monitoring range analysis function, and an information correlation evaluation function.

7. The computer room equipment monitoring and operation method according to claim 6 is characterized in that: The data response time prediction function satisfies the following relationship: ， in, Indicates the time required for data interaction response. Represents the conversion weight coefficient of monitoring data, Indicates the conversion ratio of monitoring data, Indicates the storage range of system data. Indicates the storage failure threshold of system data; The monitoring range analysis function of the computer room satisfies the following relationship: ， in, Indicates the controllable range of monitoring data. Indicates the number of directional matches of monitoring data. Indicates the correct matching rate of monitoring data, Indicates the update frequency of system monitoring data. Indicates the basic operation and maintenance area of ​​the system. Indicates the impact weight corresponding to the basic operation and maintenance area, Indicates the stacking operation and maintenance area of ​​the system. Indicates the influence weight of the stack operation and maintenance area; The information relevance evaluation function satisfies the following relationship: ， in, Represents the correlation index between data at different operation and maintenance management levels. Indicates the weight coefficient corresponding to the data of type m operation and maintenance management layer, Indicates the number of times the m type of operation and maintenance management layer data appears. Indicates the weight coefficient corresponding to n types of operation and maintenance management layer data, Indicates the number of occurrences of type n operation and maintenance management layer data.

8. The computer room equipment monitoring and operation method according to claim 7, characterized in that: The method of using the data interactivity evaluation model to obtain evaluation results of different operation and maintenance management layers in the operation and maintenance management system includes: Analyzing the interactive response time between different operation and maintenance management layers in the operation and maintenance management system by using the data response time prediction function; The controllable scope of the operation and maintenance management system is grasped through the monitoring range analysis function of the computer room; Analyzing the information correlation degree between different operation and maintenance management layers in the operation and maintenance management system by using the information correlation evaluation function; The evaluation results of different operation and maintenance management levels in the operation and maintenance management system are obtained by combining the interactive response time, the controllable range and the information correlation degree.

9. The computer room equipment monitoring and operation method according to claim 8, characterized in that: The adjustment of the operation and maintenance management system based on the evaluation results includes: Adjusting the update frequency of the operation and maintenance management system according to the interactive response time; Adjusting the information storage conditions of the operation and maintenance management system based on the controllable range; The information classification mechanism of the operation and maintenance management system is adjusted according to the degree of information correlation.

10. A computer room equipment monitoring and operation system, characterized in that: The system includes a processor, an input device, an output device and a memory, wherein the processor, input device, output device and memory are interconnected, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions to execute the computer room equipment monitoring and operation method as described in any one of claims 1 to 9.

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