A method and system for monitoring and operation and maintenance of computer room equipment

Abstract

The present invention relates to the technical field of equipment monitoring and operation and maintenance, and specifically provides a method and system for monitoring and operating and maintaining computer room equipment. The method includes the following steps: obtaining the initial monitoring data and historical operation and maintenance information of computer room equipment through a computer room monitoring system; analyzing the noise condition of the monitoring data based on the above data and constructing a data processing model to obtain the target monitoring data of computer room equipment; establishing an operation and maintenance management system and a data interactivity evaluation model for computer room equipment according to the monitoring data, and using the 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 combining the adjusted operation and maintenance management system and historical operation and maintenance information to conduct real-time monitoring and comprehensive evaluation of the operation and maintenance status of computer room equipment. The present invention optimizes the monitoring data, constructs and optimizes the operation and maintenance management system at the same time, and improves the operation and maintenance efficiency, stability and economic benefits of computer room equipment.

Description

Technical Field

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

[0002] The operating status and efficiency of computer room equipment are directly related to the continuity and stability of business. Therefore, it is crucial to comprehensively and accurately monitor and maintain computer room equipment. Implementing an effective monitoring and operation and maintenance method can timely detect and solve equipment failures, ensure the normal operation of computer room equipment, and thus improve the stability and economic benefits of business operations.

[0003] With the continuous increase of computer room equipment and the continuous accumulation of monitoring data, more powerful data processing capabilities are required to ensure the real-time and accuracy of monitoring data. When facing massive data, existing computer room monitoring and operation and maintenance systems have problems such as insufficient processing capacity and low accuracy. At the same time, 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 and maintenance needs in specific scenarios, restricting the application scope and practical application value of the monitoring method. To overcome these related problems and limitations, there is an urgent need for a more advanced and intelligent computer room monitoring and operation and maintenance method and system 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 deficiencies of the existing methods and the actual application requirements, analyzing and processing relevant data of computer room equipment can ensure the real-time and accuracy of monitoring data. At the same time, reasonably regulating the operation and maintenance management system based on equipment operation and maintenance requirements and actual monitoring situations helps to achieve timely detection and effective maintenance of potential failures of computer room equipment. On the one hand, the present invention provides a method for monitoring and operation and maintenance of computer room equipment, and the above method includes the following steps: obtaining initial monitoring data and historical operation and maintenance information of computer room equipment through a 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, constructing a data processing model in combination with the noise condition, and obtaining target monitoring data of computer room equipment; establishing an operation and maintenance management system for computer room equipment according to the target monitoring data, constructing a data interaction evaluation model, and obtaining evaluation results of different operation and maintenance management levels in the operation and maintenance management system by using the data interaction evaluation model; adjusting the operation and maintenance management system based on the evaluation results to obtain an adjusted operation and maintenance management system, and combining the adjusted operation and maintenance management system and the historical operation and maintenance information to conduct real-time monitoring and comprehensive evaluation of the operation and maintenance status of computer room equipment. 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 interaction, further ensuring the reliability and safety of computer room equipment.

[0005] Optionally, obtaining the initial monitoring data and historical operation and maintenance information of the computer room equipment by the computer room monitoring system includes: configuring an environmental 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 computer room equipment through the environmental 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 computer room equipment through multiple modules, ensuring the comprehensiveness and accuracy of the monitoring data, and helping to timely discover and solve potential problems of the computer room equipment subsequently.

[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 the 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;

[0007] The data noise analysis model satisfies the following relationship:

[0008]

[0009] Wherein, represents the noise coefficient of the computer room monitoring data, 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. 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 process, and enhance the fault warning ability.

[0010] Optionally, constructing a data processing model in combination with the noise condition and obtaining the target monitoring data of the computer room equipment includes: constructing a system data processing model in combination with the noise coefficient and the initial monitoring data; using the system data processing model to optimize the initial monitoring data to obtain the target monitoring data of the computer room equipment. 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, helps to more accurately understand the operation status of the computer room equipment, and provides data support for subsequent operation and maintenance decisions.

[0011] Optionally, the system data processing model satisfies the following relationship:

[0012]

[0013] Wherein, Represents the finally received monitoring data of computer room equipment, Represents the channel coefficient in the computer room monitoring system, Represents the maximum transmission ratio of the monitoring data, Represents the initial monitoring data set, Represents the fluctuation index of the monitoring data, Represents the noise coefficient of the computer room monitoring data. The model of the present invention comprehensively considers multiple key factors, can accurately reflect the actual operation status of the computer room equipment, and thus obtains more accurate and reliable monitoring data of the computer room equipment.

[0014] Optionally, the construction of the data interactivity evaluation model includes; constructing a data interactivity evaluation model based on the requirements of the interactive operation and maintenance database, and the data interactivity evaluation model includes: a data response time prediction function, a computer room monitoring range analysis function, and an information correlation degree evaluation function. The data interactivity evaluation model of the present invention helps to improve the actual application performance of the monitoring method and reduce the computer room operation and maintenance cost.

[0015] Optionally, the data response time prediction function satisfies the following relationship:

[0016]

[0017] Wherein, Represents the time required for data interaction response, Represents the conversion weight coefficient of the monitoring data, Represents the conversion ratio of the monitoring data, Represents the storage range of the system data, Represents the storage failure threshold of the system data;

[0018] The computer room monitoring range analysis function satisfies the following relationship:

[0019]

[0020] Wherein, Represents the controllable range of the monitoring data, Represents the number of directional matches of the monitoring data, Represents the correct matching rate of the monitoring data, Represents the update frequency of the system monitoring data, Represents the basic operation and maintenance area of the system, Represents the influence weight corresponding to the basic operation and maintenance area, Represents the stacked operation and maintenance area of the system, Represents the influence weight of the stacked operation and maintenance area;

[0021] The information correlation degree evaluation function satisfies the following relationship:

[0022]

[0023] Among them, represents the correlation index between data of different operation and maintenance management levels, represents the weight coefficient corresponding to m types of operation and maintenance management level data, represents the number of occurrences of m types of operation and maintenance management level data, represents the weight coefficient corresponding to n types of operation and maintenance management level data, represents the number of occurrences of n types of operation and maintenance management level data.

[0024] The result of the function of the present invention is beneficial to optimizing the monitoring strategy, risk assessment, and operation and maintenance process adjustment, thereby promoting the progress and development of intelligent operation and maintenance technology.

[0025] Optionally, obtaining the evaluation results of different operation and maintenance management levels in the operation and maintenance management system by using the data interactivity evaluation model includes: analyzing the interaction response time between different operation and maintenance management levels in the operation and maintenance management system by using the data response time prediction function; mastering the controllable range of the operation and maintenance management system through the computer room monitoring range analysis function; analyzing the information correlation degree between different operation and maintenance management levels in the operation and maintenance management system by using the information correlation degree evaluation function; and obtaining the evaluation results of different operation and maintenance management levels in the operation and maintenance management system by combining the interaction response time, the controllable range, and the information correlation degree. The present invention formulates targeted optimization strategies for the interaction response time, controllable range, and information correlation degree between different operation and maintenance management levels based on the evaluation results, promoting the continuous improvement and optimization of the operation and maintenance management work of computer room equipment.

[0026] Optionally, adjusting 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 interaction 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, making the present invention more adaptable to the needs of data-driven decision-making, continuously optimizing the operation and maintenance strategy and resource allocation, improving the scientificity and accuracy of decision-making, and thereby enhancing the security and operation and maintenance efficiency of computer room equipment.

[0027] Second aspect, to efficiently execute a monitoring and operation and maintenance method for computer room equipment provided by the present invention, the present invention further provides a monitoring and operation and maintenance system for computer room equipment. 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. Among them, the memory is used to store a computer program, and the computer program includes program instructions. The processor is configured to call the program instructions to execute the monitoring and operation and maintenance method for computer room equipment as described in the first aspect of the present invention. The monitoring and operation and maintenance system for computer room equipment of the present invention has a compact structure and stable performance, and can stably execute the monitoring and operation and maintenance method for computer room equipment provided by the present invention, improving the overall applicability and practical application ability of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 is a flowchart of the monitoring and operation and maintenance method for computer room equipment of the present invention;

[0029] Figure 2 is a structural diagram of the monitoring and operation and maintenance system for computer room equipment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0030] The specific embodiments of the present invention will be described in detail below. It should be noted that the embodiments described here are only for illustrative purposes and are not used to limit the present invention. In the following description, in order to provide a thorough understanding of the present invention, a large number of specific details are set forth. However, it is obvious to those of ordinary skill in the art that the present invention does not have to be practiced with these specific details. In other instances, well-known circuits, software, or methods have not been specifically described to avoid obscuring the present invention.

[0031] Throughout the specification, references to "one embodiment", "an embodiment", "one example", or "an example" mean that a particular feature, structure, or characteristic described in connection with the embodiment or example is included in at least one embodiment of the present invention. Thus, the phrases "in one embodiment", "in an embodiment", "one example", or "an example" appearing throughout the specification do not necessarily all refer to the same embodiment or example. Additionally, the particular features, structures, or characteristics may be combined in any suitable combination and / or sub-combination in one or more embodiments or examples. Moreover, those of ordinary skill in the art should understand that the diagrams provided herein are for illustrative purposes only and are not necessarily drawn to scale.

[0032] Please refer to Figure 1 , in order to promote the real-time monitoring and efficient maintenance of computer room equipment, improve the management and operation and maintenance efficiency of the computer room, and enhance the stability and reliability of computer room equipment. The present invention provides a monitoring and operation and maintenance method for computer room equipment. The above method includes the following steps:

[0033] S1. Obtain the initial monitoring data and historical operation and maintenance information of the computer room equipment through the computer room monitoring system. The specific steps and implementation details are as follows:

[0034] First, it is necessary to configure multiple data detection modules in the computer room monitoring system, including but not limited to environmental monitoring modules, power monitoring modules, equipment detection modules, security monitoring modules, and information storage modules. The above modules work together to form the core functions of the computer room monitoring system, providing a technical basis for the comprehensive monitoring of computer room equipment. The computer room monitoring system in the embodiment adopts a modular design method, enabling flexible combination and expansion between modules, and thus can meet the computer room monitoring requirements of different scales and needs, contributing to the centralized management and intelligent monitoring of the computer room.

[0035] Then, obtain the initial monitoring data and historical operation and maintenance information of the computer room equipment through the above environmental monitoring module, power monitoring module, equipment detection module, security monitoring module, and information storage module.

[0036] The monitoring content of the environmental monitoring module includes but not limited to temperature, humidity, air quality, and water leakage conditions. The monitoring of relevant parameters such as light intensity, noise level, and vibration status in the computer room can also be added.

[0037] The power monitoring module needs to monitor the operating status of equipment such as UPS, mains input, power distribution cabinets, and PDUs. At the same time, it is necessary to monitor power quality information such as voltage fluctuations and frequency offsets. When abnormal computer room power parameters occur, the computer room monitoring system can automatically issue a warning, thereby ensuring the stable operation of computer room equipment.

[0038] The equipment detection module mainly monitors IT infrastructure such as servers, storage devices, and network devices. At the same time, it conducts real-time monitoring of other important equipment in the computer room, such as air conditioners, fresh air systems, and fire protection systems. Real-time monitoring of the operating status and performance parameters of equipment is conducive to the effective maintenance and scientific adjustment of computer room equipment.

[0039] The security monitoring module includes but not limited to video monitoring, access control systems, intrusion alarms, etc. At the same time, physical protection such as anti-theft nets and bulletproof glass has been added in important areas of the computer room, further strengthening the security protection of the computer room and helping to reduce the occurrence probability of events such as illegal attacks and data leaks.

[0040] The information storage module mainly adopts advanced storage technologies and equipment to ensure the efficient storage and intelligent management of computer room equipment monitoring data. At the same time, a perfect information backup mechanism has been established to ensure the rapid recovery of computer room monitoring data in case of loss or damage.

[0041] In this embodiment, the above modules are fully utilized to collect the monitoring data of the computer room equipment. The environmental monitoring module is responsible for real-time monitoring of key environmental parameters in the computer room, such as temperature, humidity, air quality, and water leakage, to ensure that the computer room environment always remains in the best state for equipment operation; the power monitoring module closely monitors the power equipment in the computer room, including UPS, mains input, power distribution cabinet, and PDU, etc., to prevent service interruption caused by power failures; the equipment detection module focuses on the operating status of IT infrastructure such as servers, storage devices, network devices, and security devices, and obtains their performance data and fault information in real time; the security monitoring module ensures the physical security of the computer room through means such as video monitoring, access control system, and intrusion alarm.

[0042] Meanwhile, 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 adjustment. In addition, other functions of the computer room monitoring system can be expanded and improved according to the situation of the computer room equipment, and more advanced sensors and monitoring devices can be planned or introduced, which helps to improve the accuracy and real-time performance of the initial monitoring data, ensure the integrity of the historical operation and maintenance information, and provide data support for the subsequent operation and maintenance management of the computer room.

[0043] Furthermore, the way of obtaining the monitoring data and historical information in the embodiment is only an optional condition of the present invention. In one or some other embodiments, the way of obtaining the monitoring data and historical information can be optimized according to the actual operation situation of the monitoring system and the monitoring data collection requirements, so as to more accurately capture the operating status and performance parameters of the computer room equipment, reduce data errors and noise, and improve the accuracy and reliability of the data.

[0044] S2. Analyze the noise condition of the initial monitoring data based on the initial monitoring data and historical operation and maintenance information, construct a data processing model in combination with the above noise condition, and obtain the target monitoring data of the computer room equipment. The specific steps and implementation content are as follows:

[0045] 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 above data noise analysis model, and the noise condition of the initial monitoring data is analyzed based on the noise coefficient.

[0046] In this embodiment, based on the initial monitoring data and historical operation and maintenance information in step S1, a data noise analysis model is constructed. This model can analyze and quantify the noise condition in the initial monitoring data, thereby providing information basis for subsequent monitoring data processing and computer room operation and maintenance decision-making.

[0047] A data noise analysis model is established by introducing multiple key parameters. The noise coefficient of the initial monitoring data can be calculated through the data noise analysis model, which can intuitively reflect the noise level and influence degree in the monitoring data, and further reveal the internal relationship between the noise coefficient and each parameter. This model provides a method for quantifying data noise to realize the analysis of the data noise situation.

[0048] The above data noise analysis model satisfies the following relationship:

[0049]

[0050] Among them, represents the noise coefficient of the computer room monitoring data, represents the adjustment scale parameter, represents the observation residual value, represents the weight parameter of the noise analysis model, represents the smoothing parameter of the computer room monitoring data.

[0051] The noise coefficient of the computer room monitoring data is a quantitative index, which can be used to evaluate the noise level and influence degree in the computer room monitoring data. The level of 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 data interpretation and analysis, and even mislead the subsequent decision-making and adjustment; 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 carried out.

[0052] The adjustment scale parameter plays a regulating role in the model, which determines the sensitivity of the model to outliers. By adjusting the value of the scale parameter, the reaction intensity of the model in the face of outliers can be controlled, and the influence of data outliers on the overall information quality can be reduced to a certain extent.

[0053] The observation 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 historical operation and maintenance information. In the data noise analysis, the size of the observation residual value directly reflects the noise level in the data. By calculating and analyzing the observation residual value, the fluctuation situation and uncertainty of the system monitoring data can be further understood.

[0054] 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 in different residual situations on outliers can be controlled.

[0055] The data smoothing parameter can be used to control the smoothness of the loss function when dealing with large residuals, so as to avoid the adverse impact of overly drastic changes on the model stability. Adjusting the smoothing parameter can improve the robustness and generalization ability of the model.

[0056] The above parameters play an important role in the data noise analysis model, jointly determining the sensitivity, prediction accuracy, robustness, and numerical stability of the model to data. Reasonably adjusting the relevant parameter values can optimize the practical application performance of the data noise analysis model, making it better adapt to different application scenarios and data monitoring environments.

[0057] Through the data noise analysis model, we can more deeply understand the noise characteristics and patterns of the computer room monitoring data, providing strong support for subsequent data processing and computer room operation decision-making. At the same time, the above model also provides an important reference basis for the optimization and improvement of the computer room monitoring system, helping to continuously improve the reliability and feasibility of the monitoring system.

[0058] Combined with the above noise coefficient and the initial monitoring data, a system data processing model is further constructed, and at the same time, the initial monitoring data is optimized using the system data processing model to obtain the target monitoring data of the computer room equipment.

[0059] Based on the monitoring requirements of computer room equipment, a system data processing model is constructed by combining the noise coefficient and the initial monitoring data. The above model aims to extract more accurate and reliable monitoring data of computer room equipment from the initial monitoring data through a series of mathematical operations and optimization algorithms.

[0060] The above system data processing model satisfies the following relationship:

[0061]

[0062] Among them, represents the finally received monitoring data of computer room equipment, represents the channel coefficient in the computer room monitoring system, represents the maximum transmission ratio of the monitoring data, represents the set of initial monitoring data, represents the fluctuation index of the monitoring data, represents the noise coefficient of the computer room monitoring data.

[0063] The finally received monitoring data of computer room equipment 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 status or performance of the equipment and is the basis for the effective monitoring, management, and maintenance of computer room equipment.

[0064] The channel coefficient in the computer room monitoring system can be used to describe the degree of attenuation or gain of the signal by the Internet communication transmission execution module. The channel coefficient can be a positive value or a negative value. A positive value indicates that the signal has been attenuated to a certain extent during transmission, while a negative value indicates that the signal has been enhanced during transmission. 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 impact of the channel on signal transmission.

[0065] The maximum transmission ratio of monitoring data refers to the maximum data transmission ratio or capacity that data can reach during transmission in the monitoring system. This parameter is crucial for the effective transmission of data and the stable operation of the system.

[0066] The initial monitoring data set mainly contains the initial monitoring data collected from computer room equipment.

[0067] The fluctuation index of monitoring data can be used to measure the degree of data fluctuation. 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 fluctuation index is low, it indicates that the data fluctuation degree is small, and the stability and predictability of the data are good, which means that the computer room equipment is in a stable operation state, or the equipment performance is relatively stable. On the contrary, when the fluctuation index is high, it indicates that the data fluctuation degree is large, and the stability and predictability of the data are poor, which means that there are some unstable factors in the computer room equipment, or the equipment performance is changing.

[0068] By optimizing the initial monitoring data through the above data processing model, the monitoring data of computer room equipment closer to the true value can be obtained, that is, the target monitoring data of computer room equipment can be obtained.

[0069] In order to effectively obtain the target monitoring data of computer room equipment, an Internet communication transmission execution module is added to the computer room equipment monitoring and operation and maintenance system in this embodiment. The specific design content of the Internet communication transmission execution module in the embodiment is as follows:

[0070] In order to achieve real-time transmission and remote monitoring of computer room equipment monitoring data, an Internet communication transmission execution module is additionally designed. The above module uses Internet network technology to establish a communication channel between the equipment computer room monitoring system, the data noise analysis model and the system data processing model. At the same time, a data transmission relationship function is established in the communication channel to describe the behavioral characteristics of data during transmission, further ensuring the integrity and accuracy of target monitoring data during transmission, and reducing the risk of data loss or error.

[0071] On the other hand, the Internet communication transmission execution module also has the following functions:

[0072] Data Encryption and Secure Transmission: Advanced encryption technology is adopted to ensure the security of target monitoring data during transmission, preventing data leakage or malicious tampering.

[0073] Data Compression and Decompression: 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.

[0074] Data Verification and Error Handling: During data transmission, the module will perform verification on target monitoring data to ensure the integrity and accuracy of the data. Once data errors or losses are found, the module will take corresponding error handling measures, such as retransmission or discarding error data.

[0075] In summary, 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 cost, providing guarantee for the stable operation and scientific maintenance of the computer room equipment.

[0076] Furthermore, the method for obtaining the target monitoring data of the computer room equipment in this embodiment is only an optional condition of this embodiment. In one or some other embodiments, the method for obtaining the monitoring data of the computer room equipment can be adjusted according to the data optimization requirements and the actual situation of the monitoring data of the computer room equipment. Different computer room equipment, monitoring scenarios, and operation and maintenance objectives have different requirements for the method of obtaining monitoring data. By adjusting the obtaining method, it can ensure that the system can flexibly adapt to various changes, meet different monitoring needs, and contribute to ensuring the stability and reliability of the computer room equipment.

[0077] S3. An operation and maintenance management system for computer room equipment is established based on the target monitoring data. At the same time, a data interaction evaluation model is further constructed, and the evaluation results of different operation and maintenance management levels in the operation and maintenance management system are obtained by using the above data interaction evaluation model. The specific steps and implementation contents are as follows:

[0078] First, an operation and maintenance management system for computer room equipment is established based on the target monitoring data.

[0079] In the embodiment, a comprehensive and detailed operation and maintenance management system for computer room equipment is constructed based on the target monitoring data. The above system not only fully considers the operation and maintenance needs of the computer room equipment, but also deeply analyzes the operation and maintenance characteristics of the equipment and closely combines them with the overall operation and maintenance needs of the computer room.

[0080] During the construction process, the target monitoring data was classified. The classification was not only based on the type and source of the monitoring data, but also more deeply considered the role and importance of the data in operation and maintenance management. Through the classification process, the target monitoring data was transformed into an operation and maintenance management system with a clear hierarchy and structure.

[0081] The above-mentioned operation and maintenance management system for computer room equipment consists of multiple operation and maintenance management levels at different levels. These different management levels are both independent and closely related to each other, jointly constituting a complete operation and maintenance management network. Each operation and maintenance management level has its unique data characteristics, and these related characteristics together reflect the specific functions and roles of this level in operation and maintenance management.

[0082] In addition to data characteristics, clear information characteristic points are also defined for each operation and maintenance management level. The above-mentioned characteristic points are further refinements and supplements to the characteristics of the monitoring data, including but not limited to specific information such as data collection, processing, analysis, and utilization channels. Through these related information characteristic points, it is possible to more clearly understand the position and role of each operation and maintenance management level in the operation and maintenance management system.

[0083] Furthermore, management requirement points are also set for each operation and maintenance management level. The requirement points are formulated based on the operation and maintenance requirements and characteristics of computer room equipment, and the goals and tasks that each operation and maintenance management level should achieve in the operation and maintenance management system are set. Based on the management requirement points, it is further ensured that the operation and maintenance management system can continuously and effectively support the operation and maintenance work of computer room equipment.

[0084] In summary, the operation and maintenance management system for computer room equipment is a composite management system with multiple levels, multiple characteristics, and multiple requirements. It not only covers all aspects and levels of computer room equipment, but also fully considers data classification, characteristics, and management requirements, etc. The establishment of the operation and maintenance management system for computer room equipment provides comprehensive, accurate, and timely operation and maintenance management information, providing strong support for the stable operation and efficient management of computer room equipment.

[0085] Then, based on the requirements of the interactive operation and maintenance database, a data interactivity evaluation model is constructed. The above-mentioned data interactivity evaluation model mainly includes: a data response time prediction function, a computer room monitoring range analysis function, and an information correlation degree evaluation function.

[0086] 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 operation and maintenance method for computer room equipment monitoring. 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.

[0087] The data response time prediction function takes into account multiple key factors, mainly including the conversion weight coefficient of monitoring data, the conversion ratio, data, and the system data failure threshold. Moreover, these factors interact with each other and jointly affect the time required for data interaction response.

[0088] The above data response time prediction function satisfies the following relationship:

[0089]

[0090] Where, represents the time required for data interaction response, represents the conversion weight coefficient of monitoring data, represents the conversion ratio of monitoring data, represents the storage range of system data, represents the storage failure threshold of system data;

[0091] The time required for data interaction response refers to the time interval from when the data is sent by the computer room monitoring system 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.

[0092] The conversion weight coefficient of monitoring data refers to the value given to reflect the importance of different monitoring data in the overall situation during the multi-factor evaluation or decision-making process. The above coefficient can more accurately reflect the contribution degree of monitoring data in the overall evaluation, making the operation and maintenance plan of computer room equipment more scientific and reasonable.

[0093] The conversion ratio of monitoring data 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.

[0094] The storage range of system data reflects the amount of data that the system can store and process. When the data volume exceeds the storage range, it will lead to the loss or processing delay of monitoring data, thus affecting the response time of data interaction.

[0095] The storage failure threshold of system data refers to the critical point at which system data storage fails. When the data storage volume approaches or exceeds this threshold, the stability and reliability of the system will be affected, resulting in an extension of the data interaction response time.

[0096] The data response time prediction function helps to identify potential factors that may affect the data response time in advance, provides reference information and optimization basis for the performance optimization of the computer room monitoring system, and can also detect potential computer room fault points in advance, avoiding emergency repairs and downtime after equipment failures, thus reducing the operation and maintenance costs of computer room equipment.

[0097] Further analyze the controllable scope of computer room operation and maintenance.

[0098] When analyzing the controllable scope of computer room data operation and maintenance, the operation and maintenance data range prediction model needs to combine the operation and maintenance test requirements of the computer room to clearly define the controllable boundary of computer room operation and maintenance. On this basis, further associate and build the computer room operation and maintenance system program, which not only provides a technical foundation for subsequent system optimization but also ensures the efficient progress of the computer room equipment operation and maintenance process.

[0099] In this embodiment, the controllable scope of computer room monitoring data is quantified through mathematical operations. Based on the computer room monitoring scope analysis function and combined with the operation and maintenance system program, it is possible to comprehensively and accurately master the controllable scope of computer room equipment data operation and maintenance, thereby effectively ensuring the stable operation and efficient management of computer room equipment.

[0100] The above-mentioned computer room monitoring scope analysis function satisfies the following relationship:

[0101]

[0102] Among them, represents the controllable scope of monitoring data, represents the number of directional matches of monitoring data, represents the correct matching rate of monitoring data, represents the update frequency of system monitoring data, represents the basic operation and maintenance area of the system, represents the influence weight corresponding to the basic operation and maintenance area, represents the stacked operation and maintenance area of the system, represents the influence weight of the stacked operation and maintenance area;

[0103] The controllable scope of monitoring data refers to the degree or boundary that can ensure the effective collection, processing, analysis, and utilization of monitoring data in the computer room through a series of technical means and management measures. Calculating the controllable scope of monitoring data not only reflects the monitoring ability of the monitoring system for equipment in the computer room but also helps to accurately grasp the operation and maintenance status of computer room equipment.

[0104] The number of directional matches of monitoring data refers to the number of times data is accurately matched to corresponding rules or conditions for initial monitoring data and historical operation and maintenance information. Based on this, the accuracy of monitoring operation and maintenance data can be further measured.

[0105] The correct matching rate of monitoring data refers to the ratio between the amount of data correctly matched to 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.

[0106] The above correct matching rate satisfies the following relationship:

[0107]

[0108] The update frequency refers to the frequency at which the monitoring system updates and refreshes the monitoring index data in the computer room or network environment during the monitoring time period. The frequency is usually measured by a time interval, such as per second, per minute, per hour, or per day, etc. The level of the update frequency directly affects the sensitivity and response speed of the monitoring system to changes in the computer room or network environment. In the embodiments, 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 monitoring objects, the complexity and real-time requirements of the monitoring data, etc. If the monitoring system has strong performance and can process a large amount of monitoring data simultaneously, and requires real-time reflection of changes in the computer room or network environment, then the update frequency is usually relatively high. On the contrary, if the performance of the monitoring system is limited, or the real-time requirements of the monitoring data are not high, then the update frequency will be correspondingly reduced.

[0109] The basic operation and maintenance area refers to the operation and maintenance work area for managing and maintaining system monitoring data. Setting and adjusting the basic operation and maintenance area based on historical maintenance information can ensure the stable operation of computer room equipment, reduce the risk of equipment failures, and improve the feasibility and scientific nature of the equipment operation and maintenance plan.

[0110] The stacked operation and maintenance area refers to the area or level where the operation and maintenance area of computer room equipment is divided into multiple parts in the system for better equipment management and maintenance. The above-mentioned stacked operation and maintenance area specifically refers to the operation and maintenance work area related to system stacking structures such as server stacking and storage stacking.

[0111] The influence 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 comprehensive evaluation based on factors such as the importance, complexity, and fault influence range of different operation and maintenance areas.

[0112] 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.

[0113] Next, perform correlation index analysis on different operation and maintenance management levels in the computer room equipment operation and maintenance management system, and then the connection rules and correlation strength between different operation and maintenance management levels can be measured. 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 more importantly, it can provide a basis for the normal operation and scientific management of subsequent computer room equipment through specific correlation indexes.

[0114] The correlation degree evaluation helps to discover the correlation relationships between the data of different operation and maintenance management levels. During the operation and maintenance process of computer room equipment, correlation analysis can reveal the internal connections between the data of different operation and maintenance management levels, providing a reference basis for the computer room operation and maintenance plan.

[0115] The above information correlation degree evaluation function satisfies the following relationship:

[0116]

[0117] Among them, represents the correlation index between the data of different operation and maintenance management levels, represents the weight coefficient corresponding to the data of the m - type operation and maintenance management level, represents the number of occurrences of the data of the m - type operation and maintenance management level, represents the weight coefficient corresponding to the data of the n - type operation and maintenance management level, represents the number of occurrences of the data of the n - type operation and maintenance management level.

[0118] 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 correlation relationships between the data of different operation and maintenance management levels. For example, the data at the business layer such as business transaction volume, user activity, etc. is correlated with the data at the application layer such as application response time, error rate, etc.; at the same time, the application layer data may be correlated with the infrastructure layer data such as server performance, network status, etc. By calculating the correlation index between the data of different levels, operation and maintenance managers can better understand the mutual influence and dependency relationships between computer room equipment, so as to more effectively conduct computer room fault troubleshooting, performance optimization, and resource scheduling.

[0119] The weight coefficient corresponding to the data of different operation and maintenance management levels refers to the importance measurement value assigned to the data of different operation and maintenance management levels in the operation and maintenance management system. The above - mentioned weight coefficient reflects the importance degree of the data of 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.

[0120] The number of occurrences of the data of different operation and maintenance management levels refers to the frequency of occurrence of the data of different operation and maintenance management levels, such as the business layer, application layer, infrastructure layer, etc. during the recording, analysis, or monitoring process in the computer room operation and maintenance management process. The above - mentioned index further reflects the activity, importance, and possible problems or trends of the data of different operation and maintenance management levels.

[0121] Through correlation analysis, the correlation relationships between the data of different operation and maintenance management levels can be discovered. According to the correlation relationships, operation and maintenance resources can be reasonably allocated, resource utilization rate and operation and maintenance efficiency can be improved, 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.

[0122] 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 levels in the operation and maintenance management system; a computer room monitoring scope analysis function is used to master the controllable scope of the operation and maintenance management system; an information correlation degree evaluation function is used to analyze the information correlation degree between different operation and maintenance management levels in the operation and maintenance management system; by combining the interaction response time, controllable scope and information correlation degree, the evaluation results of different operation and maintenance management levels in the operation and maintenance management system can be obtained.

[0123] In the embodiment, a variety of data analysis functions are used to comprehensively evaluate the operation and maintenance management system of computer room equipment. Specifically, a data response time prediction function is deployed, which can analyze and predict the interaction response time between different operation and maintenance management levels 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 scope analysis function is also adopted, which can analyze the actual monitoring and control scope of the operation and maintenance management system and can more effectively monitor and manage various types of equipment in the computer room.

[0124] In addition, in order to understand the fluidity and relevance of information within the operation and maintenance management system, an information correlation degree evaluation function is set up, which can quantitatively analyze the information interaction and correlation degree 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.

[0125] Finally, the interaction response time, controllable scope and information correlation degree 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 devices. Based on this, the optimization and improvement of the operation and maintenance management system can be more effectively guided, which helps to improve the overall operation and maintenance efficiency and stability of the computer room.

[0126] Furthermore, the implementation steps and related methods of the operation and maintenance management system in this embodiment are only an optional condition of this embodiment. In one or some other embodiments, according to the operation requirements of computer room equipment and the actual situation of computer room operation and maintenance management, the implementation steps and methods of the operation and maintenance management system can be adjusted to ensure that the computer room operation and maintenance work is more in line with the actual requirements, thereby improving the operation and maintenance efficiency of computer room equipment and helping to improve the pertinence and effectiveness of the computer room operation and maintenance plan.

[0127] S4. Adjust the operation and maintenance management system based on the evaluation results to obtain an adjusted operation and maintenance management system, and combine the adjusted operation and maintenance management system and historical operation and maintenance information to conduct real-time monitoring and comprehensive evaluation of the operation and maintenance status of computer room equipment. The specific steps and implementation contents are as follows:

[0128] 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, where the update frequency of the operation and maintenance management system is adjusted according to the interaction response time; the information storage conditions of the operation and maintenance management system are adjusted based on the controllable range; the information classification mechanism of the operation and maintenance management system is adjusted according to the information correlation degree, and the specific contents are as follows:

[0129] To obtain a more efficient, stable and adaptable operation and maintenance management system. First, according to the evaluation results of the interaction response time, the update frequency of the operation and maintenance management system is adjusted. By analyzing the interaction response time between different operation and maintenance management levels, the links with longer response time or frequent delays can be identified, and the update strategy of the operation and maintenance management system can be adjusted accordingly. For the links with longer response time, the update frequency can be increased to ensure that the system can respond and process various changes in a timely manner; for the links with stable and fast responses, the update frequency can be appropriately reduced to reduce unnecessary information interference.

[0130] Secondly, the information storage conditions of the operation and maintenance management system are optimized based on the evaluation results of the controllable range. After clarifying the actual monitoring and control range of the operation and maintenance management system, the monitoring and reserve requirements of information can be determined more accurately, and the conditions such as the capacity, speed and security of information storage can be adjusted accordingly. It helps to manage operation and maintenance data more effectively and ensure the integrity and availability of the monitoring information of computer room equipment.

[0131] Finally, the information classification mechanism of the operation and maintenance management system is improved according to 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 identified more clearly. On this basis, scientific and reasonable classification of information can ensure that information is stored, retrieved and utilized efficiently, not only improving the operation and maintenance efficiency of computer room equipment, but also helping to better understand and optimize the overall structure of the operation and maintenance management system.

[0132] In summary, the adjustment strategy in the embodiment is comprehensive and flexible. Based on the evaluation results, the operation and maintenance management system is scientifically and targeted optimized. By continuous adjustment and improvement, it can ensure that the operation and maintenance management system always maintains the best state, providing a strong guarantee for the stable operation of computer room equipment and the continuous development of business.

[0133] Finally, the operation and maintenance status of computer room equipment is monitored in real time and comprehensively evaluated by combining the adjusted operation and maintenance management system and historical operation and maintenance information.

[0134] In this embodiment, the adjusted operation and maintenance management system is combined with historical operation and maintenance information to obtain a comprehensive and efficient operation and maintenance monitoring and comprehensive evaluation system for computer room equipment. The above system not only makes full use of the optimized and upgraded operation and maintenance management system, but also deeply explores the relevant reference information and practical standards contained in 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.

[0135] Based on the adjusted operation and maintenance management system, a real-time monitoring mechanism for computer room equipment is established. This mechanism can dynamically capture various data and information generated during the operation of computer room equipment, including but not limited to equipment status, performance indicators, fault alarms, etc., and perform real-time analysis and processing on the above data, which helps to timely discover and solve potential operation and maintenance problems, and further ensure the stable operation of computer room equipment.

[0136] At the same time, the operation and maintenance status of computer room equipment is compared, analyzed and comprehensively evaluated in combination with historical operation and maintenance information. A large amount of operation and maintenance experience and reference information are contained in the above historical operation and maintenance information. Analyzing and exploring it can better understand the operation rules and potential risks of computer room equipment. On this basis, more scientific and reasonable computer room operation and maintenance strategies and accident warning measures can be formulated to reduce the failure rate of computer room equipment, improve operation and maintenance efficiency and work quality.

[0137] To sum up, based on the above steps and implementation processes, it not only helps to comprehensively and objectively understand the operation and maintenance status of computer room equipment, but also provides a strong decision-making basis 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 timely discovered and solved, further ensuring the stable operation of computer room equipment and the sustainable development of related businesses.

[0138] Combining the adjusted operation and maintenance management system and historical operation and maintenance information to conduct real-time monitoring and comprehensive evaluation of the operation and maintenance of computer room equipment not only improves the operation and maintenance work efficiency and economic benefits, but also provides a strong guarantee for the stable operation of computer room equipment and the sustainable development of business.

[0139] Please refer to Figure 2, in an optional embodiment, in order to efficiently execute a method for monitoring and operation and maintenance of computer room equipment provided by the present invention, the present invention further provides a system for monitoring and operation and maintenance of computer room equipment. The system for monitoring and operation and maintenance of computer room equipment 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. Among them, the memory is used to store a computer program, and the computer program includes program instructions. The processor is configured to call the program instructions to execute the specific steps of the related embodiments of the method for monitoring and operation and maintenance of computer room equipment provided by the present invention. The system for monitoring and operation and maintenance of computer room equipment of the present invention has a complete and objectively stable structure, can efficiently execute the method for monitoring and operation and maintenance of computer room equipment of the present invention, and improves the overall applicability and practical application ability of the present invention.

[0140] 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 them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the various embodiments of the present invention, and they should all be covered by the scope of the claims and the description 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; Adjusting the operation and maintenance management system based on the evaluation results and obtaining an adjusted operation and maintenance management system, and performing real-time monitoring and comprehensive evaluation of the operation and maintenance status of the equipment in the computer room in combination with the adjusted operation and maintenance management system and the historical operation and maintenance information; The constructing of the data interactivity evaluation model comprises: Constructing a data interactivity evaluation model based on the interactive operation and maintenance database requirements, wherein 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; 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.

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 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.

7. The computer room equipment monitoring and operation method according to claim 6 is 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.

8. 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 1-7.

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