Intelligent machine room real-time monitoring method and system based on digital twinning and medium

Abstract

The invention relates to the technical field of computers, and provides an intelligent machine room real-time monitoring method and system based on digital twinning and a medium, and the method comprises the steps: constructing a digital twinning model; based on the digital twinborn model, carrying out regional division on the virtual machine room; respectively acquiring a safety degree index, a service life index and a risk index of the electrical equipment in each region, and calculating the comprehensive health degree of the electrical equipment in the region; according to the comprehensive health degree of the regional equipment, deploying monitoring resources of the virtual machine room, carrying out simulation monitoring on each regional electrical equipment in the virtual machine room, and judging the feasibility of simulation monitoring; and if the simulation monitoring is feasible, deploying the monitoring resources of the target machine room based on the deployed monitoring resources of the virtual machine room, and monitoring the target machine room in real time. The target machine room can be better monitored in real time, and the problem that real-time monitoring of regional electrical equipment is not in place due to uneven distribution of monitoring resources is avoided.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to a real-time monitoring method, system and medium for a smart computer room based on digital twins. Background Art

[0002] Digital twins make full use of data such as physical models, sensors, and operation history, integrate multi-disciplinary, multi-physical, multi-scale, and multi-probability simulation processes, and complete mapping in virtual space to reflect the entire life cycle of the corresponding physical equipment. Digital twins are a concept that transcends reality and can be viewed as a digital mapping system of one or more important, interdependent equipment systems.

[0003] After searching, the applicant found some typical prior arts, such as the Chinese invention patent with application number CN202310350397.6, which discloses a computer room stability monitoring method and system based on digital twins, which can improve the quality of stability monitoring and early warning of the computer room. Another example is the Chinese invention patent with application number CN202310621738.9, which discloses a computer room monitoring method, electronic equipment and storage medium based on digital twins, which can judge the maintenance status of all cabinets and equipment in the computer room and determine whether all equipment in the computer room has passed the maintenance. Another example is the Chinese invention patent with application number CN202310772651.1, which discloses a computer room visualization management method based on a digital twin scenario, which can improve the overall intuitiveness of computer room management.

[0004] It can be seen that for the computer room monitoring method based on digital twins, there are still many practical problems that need to be dealt with in its actual application, and there are still many specific solutions that have not been proposed. Summary of the invention

[0005] One of the purposes of the present invention is to provide a real-time monitoring method for a smart computer room based on digital twins, which can obtain the safety index, life index and risk index of electrical equipment in each area according to the constructed digital twin model, and calculate the comprehensive health of the regional electrical equipment according to the safety index, life index and operation risk index. Then, according to the comprehensive health of the regional equipment, the monitoring resources of the virtual computer room are deployed, and simulated monitoring of the electrical equipment in each area of ​​the virtual computer room is performed, and the feasibility of the simulated monitoring is judged. Finally, based on the monitoring resources of the deployed virtual computer room, the monitoring resources of the target computer room are deployed, and the target computer room is monitored in real time.

[0006] A real-time monitoring method for a smart computer room based on digital twins comprises the following steps:

[0007] Obtain the basic information of the target computer room and build a digital twin model based on the basic information based on digital twin technology;

[0008] Based on the digital twin model, the virtual laboratory is divided into regions;

[0009] Obtaining the safety index, life index and risk index of the electrical equipment in each area respectively, and calculating the comprehensive health level of the regional electrical equipment according to the safety index, life index and operation risk index;

[0010] According to the comprehensive health status of the regional equipment, the monitoring resources of the virtual room are deployed, the electrical equipment in each area of ​​the virtual room is simulated monitored, and the feasibility of the simulated monitoring is determined;

[0011] If the simulated monitoring is feasible, the monitoring resources of the target computer room are deployed based on the deployed monitoring resources of the virtual computer room, and the target computer room is monitored in real time.

[0012] The digital twin-based smart computer room real-time monitoring method calculates the comprehensive health of regional electrical equipment, allocates the monitoring resources of the virtual computer room based on the comprehensive health of regional electrical equipment, simulates the monitoring of each regional electrical equipment in the virtual computer room, and judges the feasibility of the simulated monitoring, providing a new idea for monitoring electrical equipment in the computer room. By performing simulated monitoring on each regional electrical equipment in the virtual computer room, and after judging that the simulated monitoring is feasible, the monitoring resources of the target computer room are allocated based on the allocated monitoring resources of the virtual computer room, so as to better monitor the target computer room in real time and avoid the problem of insufficient real-time monitoring of regional electrical equipment due to uneven distribution of monitoring resources.

[0013] Preferably, the specific method for dividing the virtual machine room into regions includes the following steps:

[0014] Set spatial size constraints, electrical equipment density constraints, and electrical equipment characteristic constraints for area division;

[0015] The virtual machine room is divided into regions based on the space size constraint, the electrical equipment density constraint and the electrical equipment characteristic constraint.

[0016] Preferably, the method for obtaining the safety index specifically comprises the following steps:

[0017] Obtain the total number of regional electrical equipment N, the number of key monitoring equipment n, and the safety level of regional electrical equipment;

[0018] The safety index is obtained based on the total number of electrical equipment in the area N, the number of key monitoring equipment n and the safety level of the electrical equipment in the area

[0019] Among them, Si It represents the safety level of the i-th electrical equipment in the area, e is a natural constant, and α represents the safety adjustment coefficient.

[0020] Preferably, the method for obtaining the lifespan index specifically comprises the following steps:

[0021] Obtain the life cycle and operation time of regional electrical equipment;

[0022] According to the life cycle and operation time, the life index is obtained

[0023]

[0024] Among them, Lc i represents the life cycle of the ith electrical equipment in the region, Rt i represents the operating time of the i-th electrical equipment in the area, N represents the number of electrical equipment in the area, and β represents the life adjustment coefficient.

[0025] Preferably, the method for obtaining the operation risk index specifically includes the following steps:

[0026] Obtain the alarm time of regional electrical equipment, the minimum interval between two consecutive alarms, and environmental impact factors;

[0027] Obtain the operation risk index according to the alarm time, minimum interval time and environmental impact factors

[0028] Among them, t i It represents the time of the ith alarm in the area, T represents the minimum time interval, M represents the number of alarms of electrical equipment in the area, e is a natural constant, η is the operation risk adjustment coefficient, and δ is the environmental impact factor.

[0029] Preferably, the method for obtaining the environmental impact factor specifically comprises the following steps:

[0030] Obtain the real-time temperature value RT, real-time humidity value RH and real-time vibration value RV in the regional environment;

[0031] Calculate the environmental impact factor according to the real-time temperature value RT, the real-time humidity value RH and the real-time vibration value RV

[0032] Among them, RT s Indicates the standard temperature value of the regional environment, RH s Indicates the standard humidity value of the regional environment, RV s It represents the standard vibration value of the regional environment, and a1, a2, and a3 are weight coefficients.

[0033] Preferably, the comprehensive health level of regional electrical equipment H is calculated i =Li+Si-Ori;

[0034] Among them, Li represents the safety index, Si represents the life index, and Ori represents the operation risk index.

[0035] The present invention also provides a real-time monitoring system for a smart computer room based on digital twins, which includes:

[0036] A model building module is used to obtain an image data set, an environmental parameter set, and an equipment operation data set of a target computer room, and to build a digital twin model based on the image data set, the environmental parameter set, and the equipment operation data set;

[0037] A region division module, used to divide the virtual room into regions based on the digital twin model;

[0038] A calculation module, used to obtain the safety index, life index and risk index of the electrical equipment in each area respectively, and calculate the comprehensive health level of the regional electrical equipment according to the safety index, life index and operation risk index;

[0039] The monitoring module is used to allocate monitoring resources according to the comprehensive health of the equipment in the area and perform real-time monitoring of the target computer room.

[0040] Preferably, the basic information includes an image data set, an environmental parameter set and an equipment operation data set, based on the image data set, the environmental parameter set and the equipment operation data set.

[0041] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the real-time monitoring method of a smart computer room based on digital twins. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The present invention can be further understood from the following description in conjunction with the accompanying drawings. The components in the figures are not necessarily drawn to scale, but the emphasis is placed on illustrating the principles of the embodiments. In different views, the same reference numerals designate corresponding parts.

[0043] Figure 1 It is a schematic diagram of the overall process of a real-time monitoring method for a smart computer room based on digital twins in one embodiment of the present invention.

[0044] Figure 2 It is a partial flow chart of a method for real-time monitoring of a smart computer room based on digital twins in one embodiment of the present invention;

[0045] Figure 3It is a partial flow chart of a real-time monitoring method of a smart computer room based on digital twins in another embodiment of the present invention;

[0046] Figure 4 Schematic diagram of a virtual machine room in another embodiment of the present invention. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with its embodiments. It should be understood that the specific implementation methods described herein are only used to explain the present invention and do not limit the protection scope of the present invention.

[0048] It should be noted that when an element is referred to as being "fixed to" another element, it may be directly on the other element or there may be a central element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only and do not represent the only implementation method.

[0049] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0050] The “first” and “second” mentioned in the present invention do not represent specific quantities and orders, but are merely used to distinguish names.

[0051] Computer rooms are often equipped with a variety of electrical equipment such as transformers, circuit breakers, instruments, UPS uninterruptible power supplies, and servers. The layout of electrical equipment in different computer rooms is different. In order to ensure the safe operation of electrical equipment, computer rooms are often equipped with monitoring resources for real-time monitoring of electrical equipment, such as security monitoring, environmental monitoring, network monitoring, and equipment operation status monitoring. In existing computer room monitoring methods, monitoring resources are often evenly distributed, or fixed resources are allocated to electrical equipment. The allocation of monitoring resources lacks flexibility, and it is impossible to allocate monitoring resources according to the comprehensive health of electrical equipment in different areas of the computer room to better achieve real-time monitoring of the computer room. It is easy to cause problems such as inadequate real-time monitoring of electrical equipment due to uneven distribution of monitoring resources and excessive monitoring resources for electrical equipment in certain areas.

[0052] In order to solve the above problems, Figure 1As shown, a real-time monitoring method for a smart computer room based on digital twins in one embodiment of the present invention includes the following steps:

[0053] S1, obtain the basic information of the target computer room, and build a digital twin model based on the basic information based on the digital twin technology.

[0054] Specifically, the basic information includes an image data set, an environmental parameter set, and an equipment operation data set. According to the image data set, the environmental parameter set, and the equipment operation data set. By extracting the data features of the image data set, the spatial dimensions of the target computer room and the regional location layout of different electrical equipment in the computer room are obtained, and by extracting the data features of the environmental data set, the air temperature and humidity distribution map of the target computer room is obtained. By extracting the data features of the equipment operation data set, the operation data and status of different electrical equipment are obtained. By respectively extracting the data features of the image data set, the environmental data set, and the equipment operation data set, and based on the digital twin technology, the digital twin model is constructed. Since it is a conventional technology in the field to construct a digital twin model based on the digital twin technology on the basis of obtaining the basic information of the target computer room (image data, environmental parameters, and equipment operation data), it will not be repeated here.

[0055] like Figure 4 As shown, based on the digital twin technology, a virtual computer room corresponding to the target computer room is constructed. The target computer room and the virtual computer room are both equipped with multiple monitoring resources such as cameras to monitor different areas in the computer room in real time.

[0056] S2, dividing the virtual room into areas based on the digital twin model.

[0057] Preferably, in step S2, Figure 2 As shown, the specific method for dividing the virtual machine room into regions includes the following steps:

[0058] S21, setting spatial size constraints, electrical equipment density constraints, and electrical equipment characteristic constraints for area division.

[0059] The space size constraint is used to constrain the space size of each divided area. The space size constraint can be set by setting the length, width and height range of the space divided into regions. One of the functions of setting the space size constraint is to consider the monitoring range of monitoring resources, to avoid the problem of ineffective monitoring caused by too large a space after the regional division, or the problem of wasting monitoring resources caused by too small a space.

[0060] The electrical equipment density constraint condition can be achieved by setting the number of electrical equipment per unit space volume. The purpose of setting the electrical density constraint condition is to effectively monitor the electrical equipment in the space after the area is divided.

[0061] The electrical equipment characteristic constraint condition refers to the number and combination of electrical equipment types within the regional space after the regional division. For some special equipment or large precision equipment, sometimes it is necessary to divide them out for separate monitoring, while for some conventional equipment such as circuit breakers, switches, sockets, etc., centralized monitoring can be performed. By setting the electrical equipment characteristic constraint condition, the operating status of the electrical equipment can be better monitored according to its type.

[0062] By setting spatial size constraints for area division, electrical equipment density constraints, and electrical equipment characteristic constraints, it is possible to facilitate effective deployment of monitoring resources to better monitor the operating status of electrical equipment.

[0063] S22, dividing the virtual machine room into regions based on the space size constraint, the electrical equipment density constraint, and the electrical equipment characteristic constraint.

[0064] After the virtual machine room is divided into regions, each region satisfies the space size constraint condition, the electrical equipment density constraint condition, and the electrical equipment characteristic constraint condition.

[0065] S3, respectively obtaining the safety index, life index and risk index of the electrical equipment in each area, and calculating the comprehensive health level of the regional electrical equipment according to the safety index, life index and operation risk index.

[0066] Preferably, the safety index can be obtained by jointly calculating the total number of regional electrical equipment, the number of key monitoring equipment, and the safety level of regional electrical equipment. The life coefficient can be obtained by jointly calculating the life cycle and operation time of regional electrical equipment. The operation risk index can be obtained by jointly calculating the alarm time, alarm time interval, and corresponding environmental parameters of regional electrical equipment.

[0067] S4, according to the comprehensive health status of the regional equipment, the monitoring resources of the virtual room are deployed, the electrical equipment in each area of ​​the virtual room is simulated monitored, and the feasibility of the simulated monitoring is determined.

[0068] According to the comprehensive health of the regional equipment, the monitoring resources of the virtual machine room are reasonably allocated. Generally speaking, the regional equipment with high comprehensive health will be allocated fewer regional monitoring resources than those with low comprehensive health, so the monitoring resources will be tilted towards the regional equipment with low comprehensive health, that is, the regional equipment with low comprehensive health will be monitored, so as to better monitor the operating status of the equipment in the computer room in real time and avoid the occurrence of failures and / or equipment damage due to inadequate monitoring.

[0069] When deploying the monitoring resources of the virtual room and conducting simulated monitoring of electrical equipment in various areas of the virtual room, interference factors can be randomly added to the virtual room to simulate signals to interfere with the operation of the electrical equipment. By analyzing the feedback signals of the monitoring resources, it can be determined whether the deployed monitoring resources can monitor and analyze the corresponding electrical equipment interference signals and / or fault signals, and then the feasibility of simulated monitoring can be determined.

[0070] If the deployed monitoring resources can monitor and analyze the corresponding electrical equipment interference signals and / or fault signals, the simulation monitoring is judged to be feasible. Otherwise, the simulation monitoring is judged to be unfeasible. According to the comprehensive health of the equipment in the area, the monitoring resources of the virtual room are reallocated until the simulation monitoring is feasible.

[0071] S5: If the simulated monitoring is feasible, the monitoring resources of the target computer room are allocated based on the allocated monitoring resources of the virtual computer room, and the target computer room is monitored in real time.

[0072] Here, the monitoring resources of the target computer room include but are not limited to infrared thermal imaging, closed-circuit television, server running memory and various sensor resources.

[0073] In summary, by calculating the comprehensive health of regional electrical equipment and allocating the monitoring resources of the virtual computer room based on the comprehensive health of regional electrical equipment, simulated monitoring of electrical equipment in each area of ​​the virtual computer room is performed, and the feasibility of simulated monitoring is judged, a new idea for monitoring electrical equipment in the computer room is provided. By performing simulated monitoring of electrical equipment in each area of ​​the virtual computer room and judging the feasibility of simulated monitoring, the monitoring resources of the target computer room are allocated based on the monitoring resources of the deployed virtual computer room, which can better monitor the target computer room in real time and avoid the problem of inadequate real-time monitoring of regional electrical equipment due to uneven distribution of monitoring resources.

[0074] In one embodiment, in step S3, Figure 3 As shown, the method for obtaining the safety index specifically includes the following steps:

[0075] S310, obtaining the total number N of regional electrical equipment, the number n of key monitoring equipment, and the safety level of regional electrical equipment.

[0076] S311, obtaining the safety index according to the total number N of electrical equipment in the area, the number n of key monitoring equipment, and the safety level of the electrical equipment in the area

[0077] Among them, S i It indicates the safety level of the ith electrical equipment in the area, e is a natural constant. α indicates the safety adjustment coefficient, which can be set and adjusted according to the actual situation.

[0078] The key monitoring equipment can be calibrated by a technician. Preferably, by acquiring historical operation data of the electrical equipment, calculating the alarm times and fault times according to the historical operation data, the electrical equipment whose alarm times and fault times exceed the corresponding preset times threshold is calibrated as the key monitoring equipment.

[0079] The safety level of the electrical equipment in the area can be calibrated by a technician, or can be obtained based on the IP protection level of the electrical equipment.

[0080] The safety level index is calculated by combining the total number N of regional electrical equipment, the number n of key monitoring equipment and the safety level of regional electrical equipment. The safety level index of regional electrical equipment can be effectively obtained by taking the safety levels of key monitoring equipment and electrical equipment into consideration, and a new idea for obtaining the safety level index is also provided.

[0081] In one embodiment, in step S3, the method for obtaining the life index specifically includes the following steps:

[0082] S320, obtaining the life cycle and operation time of regional electrical equipment.

[0083] S322, obtaining the life index according to the life cycle and operation time

[0084]

[0085] Among them, Lc i represents the life cycle of the ith electrical equipment in the region, Rt i represents the operating time of the i-th electrical equipment in the area, N represents the number of electrical equipment in the area, and β represents the life adjustment coefficient.

[0086] The life cycle refers to the average service life of electrical equipment, which can sometimes be obtained by referring to the design service life recorded on the equipment nameplate or the equipment manual. The operating time can be obtained based on the actual operation time of the electrical equipment.

[0087] Generally speaking, the shorter the operating time of electrical equipment, the greater its corresponding life index.

[0088] Obtaining the life index through the life cycle and operation time of regional electrical equipment can provide a new idea for obtaining the life index.

[0089] In one embodiment, in step S3, the method for obtaining the operation risk index specifically includes the following steps:

[0090] S330, obtaining the alarm time of the regional electrical equipment, the minimum interval time between two consecutive alarms, and the environmental impact factor.

[0091] S331, obtaining the operation risk index according to the alarm time, the minimum interval time and the environmental impact factor

[0092] Among them, t i It represents the time of the ith alarm in the area, T represents the minimum time interval, M represents the number of alarms of electrical equipment in the area, e is a natural constant, η is the operation risk adjustment coefficient, and δ is the environmental impact factor.

[0093] For each electrical device in each area, its historical operation data is obtained, and the alarm time and the minimum interval between two consecutive alarms within the preset time period are obtained through the historical operation data. The number of electrical equipment alarms in the area refers to the total number of alarms of all electrical equipment in the area within the preset time period. η is the operation risk adjustment coefficient, which can be set according to actual conditions and will not be repeated here.

[0094] Preferably, in step S330, the method for obtaining the environmental impact factor specifically includes the following steps:

[0095] S3301, obtaining the real-time temperature value RT, real-time humidity value RH and real-time vibration value RV in the regional environment.

[0096] S3302, calculating the environmental impact factor according to the real-time temperature value RT, the real-time humidity value RH and the real-time vibration value RV

[0097] Among them, RT s Indicates the standard temperature value of the regional environment, RH s Indicates the standard humidity value of the regional environment, RV s It represents the standard vibration value of the regional environment, and a1, a2, and a3 are weight coefficients.

[0098] During the operation of electrical equipment in the computer room, the surrounding environment of the electrical equipment, such as temperature, humidity and vibration, will affect its operating state, thereby causing a certain degree of operating risk. By obtaining the environmental impact factor, taking into account the environmental parameters including temperature, humidity and vibration values, and calculating the operating risk index, the operating risk index of the regional electrical equipment can be effectively obtained, and a new idea for obtaining the operating risk index is also provided.

[0099] In one embodiment, the comprehensive health level H of the regional electrical equipment is calculated. i =Li+Si-Ori.

[0101] Among them, Li represents the safety index, Si represents the life index, and Ori represents the operation risk index.

[0102] Specifically, after calculating the comprehensive health of the regional electrical equipment, the specific method for allocating the monitoring resources of the virtual room according to the comprehensive health of the regional equipment includes the following steps: setting the basic monitoring resources b of the i-th regional electrical equipment i And the resource ratio adjustment coefficient a i ; According to the formula Mr i =-a i *H i +b i Calculate the monitoring resources obtained by the electrical equipment in the i-th area, and then allocate the monitoring resources of the virtual room.

[0103] Here, in order to better calculate the monitoring resources obtained by the electrical equipment in the i-th area, different digital monitoring weights can be assigned to different monitoring resources, that is, different monitoring resources correspond to different values.

[0104] Based on the formula Mr i =-a i *H i +b i The monitoring resources obtained by the electrical equipment in the i-th area are calculated, and then the monitoring resources of the virtual room are allocated. The monitoring resources can be reasonably allocated according to the comprehensive health level of the regional electrical equipment, avoiding the problem of inadequate real-time monitoring of regional electrical equipment due to uneven distribution of monitoring resources, thereby improving the effectiveness of monitoring resource allocation.

[0105] The present invention also provides a real-time monitoring system for a smart computer room based on digital twins, which includes a model building module, an area division module, a calculation module and a monitoring module.

[0106] The model building module is used to obtain the image data set, environmental parameter set and equipment operation data set of the target computer room, and build a digital twin model based on the image data set, environmental parameter set and equipment operation data set; the area division module is used to divide the virtual computer room into areas based on the digital twin model.

[0107] The calculation module is used to obtain the safety index, life index and risk index of the electrical equipment in each area respectively, and calculate the comprehensive health of the regional electrical equipment based on the safety index, life index and operation risk index; the monitoring module is used to allocate monitoring resources according to the comprehensive health of the regional equipment and perform real-time monitoring of the target computer room.

[0108] In the real-time monitoring system of the smart computer room based on digital twin, it calculates the comprehensive health of regional electrical equipment, allocates the monitoring resources of the virtual computer room based on the comprehensive health of regional electrical equipment, performs simulated monitoring of the electrical equipment in each area of ​​the virtual computer room, and judges the feasibility of simulated monitoring, providing a new idea for monitoring electrical equipment in the computer room. By performing simulated monitoring of the electrical equipment in each area of ​​the virtual computer room, and after judging that the simulated monitoring is feasible, the monitoring resources of the target computer room are allocated based on the monitoring resources of the allocated virtual computer room, so as to better monitor the target computer room in real time and avoid the problem of inadequate real-time monitoring of regional electrical equipment due to uneven distribution of monitoring resources.

[0109] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the real-time monitoring method of a smart computer room based on digital twins.

[0110] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0111] The above-mentioned embodiments only express several implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A real-time monitoring method for a smart computer room based on digital twins, characterized in that: The real-time monitoring method of the smart computer room based on digital twins comprises the following steps: Obtain the basic information of the target computer room and build a digital twin model based on the basic information based on digital twin technology; Based on the digital twin model, the virtual laboratory is divided into regions; Obtaining the safety index, life index and risk index of the electrical equipment in each area respectively, and calculating the comprehensive health level of the regional electrical equipment according to the safety index, life index and operation risk index; According to the comprehensive health status of the regional equipment, the monitoring resources of the virtual room are deployed, the electrical equipment in each area of ​​the virtual room is simulated monitored, and the feasibility of the simulated monitoring is determined; If the simulated monitoring is feasible, the monitoring resources of the target computer room are deployed based on the deployed monitoring resources of the virtual computer room, and the target computer room is monitored in real time.

2. The real-time monitoring method of a smart computer room based on digital twins according to claim 1 is characterized in that: The specific method of dividing the virtual machine room into regions includes the following steps: Set spatial size constraints, electrical equipment density constraints, and electrical equipment characteristic constraints for area division; The virtual machine room is divided into regions based on the space size constraint, the electrical equipment density constraint and the electrical equipment characteristic constraint.

3. The real-time monitoring method of a smart computer room based on digital twins according to claim 1 is characterized in that: The method for obtaining the safety index specifically comprises the following steps: Obtain the total number of regional electrical equipment N, the number of key monitoring equipment n, and the safety level of regional electrical equipment; The safety index is obtained based on the total number of electrical equipment in the area N, the number of key monitoring equipment n and the safety level of the electrical equipment in the area Among them, S i It represents the safety level of the i-th electrical equipment in the area, e is a natural constant, and α represents the safety adjustment coefficient.

4. The real-time monitoring method of a smart computer room based on digital twins according to claim 1 is characterized in that: The method for obtaining the lifespan index specifically comprises the following steps: Obtain the life cycle and operation time of regional electrical equipment; According to the life cycle and operation time, the life index is obtained Among them, Lc i represents the life cycle of the ith electrical equipment in the region, Rt i represents the operating time of the i-th electrical equipment in the area, N represents the number of electrical equipment in the area, and β represents the life adjustment coefficient.

5. The real-time monitoring method of a smart computer room based on digital twins according to claim 1, characterized in that: The method for obtaining the operation risk index specifically comprises the following steps: Obtain the alarm time of regional electrical equipment, the minimum interval between two consecutive alarms, and environmental impact factors; Obtain the operation risk index according to the alarm time, minimum interval time and environmental impact factors Among them, t i It represents the time of the ith alarm in the area, T represents the minimum time interval, M represents the number of alarms of electrical equipment in the area, e is a natural constant, η is the operation risk adjustment coefficient, and δ is the environmental impact factor.

6. The real-time monitoring method of a smart computer room based on digital twins according to claim 5 is characterized in that: The method for obtaining the environmental impact factor specifically comprises the following steps: Obtain the real-time temperature value RT, real-time humidity value RH and real-time vibration value RV in the regional environment; Calculate the environmental impact factor according to the real-time temperature value RT, the real-time humidity value RH and the real-time vibration value RV Among them, RT s Indicates the standard temperature value of the regional environment, RH s Indicates the standard humidity value of the regional environment, RV s It represents the standard vibration value of the regional environment, and a1, a2, and a3 are weight coefficients.

7. The real-time monitoring method of a smart computer room based on digital twins according to claim 1 is characterized in that: Calculate the comprehensive health level H of regional electrical equipment i =Li+Si-Ori; Among them, Li represents the safety index, Si represents the life index, and Ori represents the operation risk index.

8. The real-time monitoring system of the smart computer room based on digital twins is characterized by: The digital twin-based smart computer room real-time monitoring system includes: A model building module is used to obtain basic information of the target computer room and build a digital twin model based on the basic information based on the digital twin technology; A region division module, used to divide the virtual room into regions based on the digital twin model; A calculation module, used to obtain the safety index, life index and risk index of the electrical equipment in each area respectively, and calculate the comprehensive health level of the regional electrical equipment according to the safety index, life index and operation risk index; The monitoring module is used to allocate monitoring resources according to the comprehensive health of the equipment in the area and perform real-time monitoring of the target computer room.

9. The real-time monitoring system for a smart computer room based on digital twins according to claim 8, characterized in that: The basic information includes an image data set, an environmental parameter set, and an equipment operation data set, based on the image data set, the environmental parameter set, and the equipment operation data set.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by the processor, the real-time monitoring method of a smart computer room based on digital twins as described in any one of claims 1 to 7 is implemented.

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