A metaverse digitalized machine room management and control method and device

Abstract

The application discloses a kind of Metaverse meta-universe digital machine room management and control method and device, the method includes: obtaining the machine room data and the information of person concerned of target machine room;According to the machine room data and preset modeling requirement, machine room panorama construction is carried out in the panorama plane of pre-building to target machine room, and the corresponding digital twin machine room is obtained;In the panorama plane, the information of person concerned and digital twin machine room are executed to obtain target person concerned machine room, and the association processing of person concerned includes at least one of person concerned permission mapping, person concerned role construction mapping, machine room-person concerned panorama synthesis rendering;Target person concerned machine room is used to respond to a variety of control requirements for target machine room, each control requirement corresponds to a control mode, and all control modes include live, pre-occupancy and pre-play mode.

Description

Technical Field

[0001] This invention relates to the field of digital management and control technology for data centers, and in particular to a method and apparatus for digital management and control of data centers based on the Metaverse. Background Technology

[0002] Against the backdrop of rapid development in information technology, data centers and network communication equipment rooms, as key facilities for the digital and intelligent transformation and upgrading of various industries, have seen their corresponding infrastructure develop rapidly. At the same time, with continuous innovation in IT technology, the processing capacity of single devices has increased significantly, and the workload carried by a single rack or unit area of ​​equipment room has surged dramatically. The demand for secure, stable operation, and intelligent maintenance and management of equipment rooms is becoming increasingly prominent. The current business scenarios of multi-party co-management, multi-party sharing, and multi-phase construction also bring new challenges to equipment room management.

[0003] Existing technologies lack methods for simulating construction plans when adjusting network communication equipment rooms or their equipment. Furthermore, manual supervision during real-time implementation of these plans is ineffective and lacks sufficient oversight. Even existing data center management systems are limited to collecting and visualizing various data, resulting in limited data application. Therefore, providing a solution to the problems of low supervision efficiency, poor effectiveness, and limited data application in data center information management is crucial. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a data center management and control method and device for the digitalization of the Metaverse, which can expand the application scenarios of data center data, improve the efficiency of data center supervision, and realize the intelligent pre-simulation of the implementation plan associated with the data center and improve the collaborative management and control efficiency of data center resources.

[0005] To address the aforementioned technical problems, the first aspect of this invention discloses a data center management and control method for the digitalization of the Metaverse, the method comprising:

[0006] Acquire the data center data and stakeholder information corresponding to the target data center to be managed. The data center data and stakeholder information are used to construct a digital space corresponding to the target data center.

[0007] Based on the data center data and the determined modeling requirements, a panoramic view of the target data center is constructed in a pre-built panoramic plane to obtain a digital twin data center corresponding to the target data center; the panoramic view construction of the data center includes at least one of the following: 3D data center construction, model verification and correction, and digital twin deployment operation;

[0008] In the panoramic view, the stakeholder information and the digital twin data center are subjected to stakeholder association processing to obtain the target stakeholder data center corresponding to the digital twin data center. The stakeholder association processing includes at least one of stakeholder permission mapping, stakeholder role construction mapping, and data center-stakeholder panoramic composite rendering.

[0009] The target data center is located in the panoramic view and is used to respond to various control requirements for the target data center. Each control requirement has a corresponding control mode, and each control mode corresponds to one or more control requirements. All control modes include live mode, pre-occupancy mode, and rehearsal mode.

[0010] As an optional implementation, in the first aspect of the present invention, the method further includes:

[0011] When a target management requirement for the target data center is detected, the target management mode corresponding to the target management requirement is determined.

[0012] Select the target control function that matches the target control requirements from all the control functions included in the target control mode;

[0013] All associated data corresponding to the target control function are loaded into the target data center to respond to the target control requirements; each target control function is mapped and controlled through the target data center.

[0014] When the target management mode is the real-time mode, all the management functions corresponding to the real-time mode include real-time display, online inspection, alarm handling, data analysis, intelligent logs, and functions corresponding to data center asset management for the target data center.

[0015] The real-time display is used to visualize the real-time operating data of the target computer room; the online inspection is used to call the monitoring equipment corresponding to the target computer room for remote visual inspection.

[0016] As an optional implementation, in the first aspect of the present invention, when the target control mode is the pre-occupancy mode, all the control functions corresponding to the pre-occupancy mode include functions corresponding to the following: detailed display of data center resources for the target related data center, pre-occupancy / release of data center resources, coordination of data center resources, early warning of data center resources, online exploration of data center resources, and evaluation of data center resource utilization.

[0017] The data center resource pre-occupancy / release is used to perform add or release operations on the pre-occupancy data center resource information in the target related data center, and after determining that the operation verification of the add or release operation on the pre-occupancy data center resource information has been completed, the pre-occupancy data center resource information updated by the add or release operation is converted into real-time data corresponding to the target data center.

[0018] When the target control mode is the pre-simulation mode, all the control functions corresponding to the pre-simulation mode include the functions of inputting implementation and disposal plans for the target related computer room, plan simulation, plan evaluation, plan review, plan verification and evaluation, and monitoring the implementation process of the plan for the target computer room.

[0019] As an optional implementation, in the first aspect of the present invention, the data center data includes at least one of the following: data center identification data, data center space data, and data center business data of the target data center; the stakeholder information includes at least one of the following: all stakeholders corresponding to the target data center, stakeholder categories, stakeholder organization information, and stakeholder contract information.

[0020] After obtaining the data center data and stakeholder information corresponding to the target data center to be managed, the method further includes:

[0021] According to preset data field attributes, preset integration processing is performed on the data center data and the stakeholder information to obtain integrated data center data and stakeholder information. The integration processing includes at least one of data cleaning, data governance, and data aggregation.

[0022] As an optional implementation, in the first aspect of the present invention, the step of performing a relationship association process on the stakeholder information and the digital twin data center in the panoramic view to obtain a target stakeholder data center corresponding to the digital twin data center includes:

[0023] Analyze the stakeholder information to obtain the role trait information corresponding to each stakeholder. The role trait information includes at least one of the following: age, gender, major, body type, skin color, and hairstyle.

[0024] Based on the role trait information corresponding to each stakeholder, a preset role generation operation is performed on each stakeholder in the panoramic plane to obtain a three-dimensional role corresponding to each stakeholder;

[0025] Based on the data center identifier corresponding to the target data center, data center access permission verification is performed on each stakeholder to obtain the target stakeholder authorized to access the target stakeholder data center;

[0026] All the target stakeholders and their corresponding 3D roles are mapped in the digital twin data center to obtain the target stakeholder data center; when a target stakeholder exists in the target data center, that target stakeholder is synchronously mapped in the target stakeholder data center;

[0027] The synchronization mapping includes a 3D role mapping and a role action mapping for the target stakeholder.

[0028] As an optional implementation, in the first aspect of the present invention, the character generation operation includes three-dimensional character modeling, three-dimensional model material mapping, character skeleton binding, character animation production, rendering output, and establishment of a standard character library;

[0029] The step of performing a preset character generation operation on each stakeholder in the panoramic view based on the role trait information corresponding to each stakeholder to obtain a three-dimensional character corresponding to each stakeholder includes:

[0030] For each stakeholder, an initial role model is constructed based on the role trait information corresponding to that stakeholder. The initial role model of the stakeholder includes the head and head size ratio, the body and body size ratio, and the limbs and limb size ratio.

[0031] Material mapping and skeletal binding are performed on the initial character model of the stakeholder to obtain the intermediate character model of the stakeholder. The material mapping is used to add material maps on the basis of the initial character model of the stakeholder. The material maps include textures corresponding to skin, clothing and facial features. The character skeletal binding is used to bind the skeletal digital information of the stakeholder to the initial character model of the stakeholder.

[0032] Based on the determined character actions corresponding to the scene where the target computer room is located, the intermediate character model of the stakeholder is subjected to action creation and rendering to obtain the three-dimensional character of the stakeholder; all the three-dimensional characters of the stakeholder are used to establish a standard character library.

[0033] As an optional implementation, in the first aspect of the present invention, after loading all associated data corresponding to the target control function into the target data center to respond to the target control requirement, the method further includes:

[0034] Obtain the loading information of the target related data room for all the associated data and the response information in response to the target control requirements;

[0035] Analyze the loading information and the response information to obtain the loading completion degree corresponding to the loading information and the response completion degree corresponding to the response information;

[0036] When both the loading completion rate and the response completion rate reach their respective standard completion rates, it is determined that the target related computer room meets the preset operating requirements.

[0037] When there is a target optimization item among the items to be tested that has not reached its corresponding standard completion level, optimization information for the target optimization item is generated according to the preset optimization procedure, and the target optimization item is adjusted through the optimization information so that all the items to be tested reach their respective standard completion levels.

[0038] The items to be tested include the loading completion rate and the response completion rate.

[0039] A second aspect of this invention discloses a data center management and control device for the digitalization of the Metaverse, the device comprising:

[0040] The acquisition module is used to acquire the data center data and stakeholder information corresponding to the target data center to be managed. The data center data and the stakeholder information are used to construct a digital space corresponding to the target data center.

[0041] The construction module is used to perform panoramic construction of the target data center in a pre-constructed panoramic plane based on the data center data and the determined modeling requirements, so as to obtain a digital twin data center corresponding to the target data center; the panoramic construction of the data center includes at least one of the following: 3D construction of the data center, model verification and correction, and digital twin deployment operation.

[0042] The relationship association processing module is used to perform relationship association processing on the stakeholder information and the digital twin data center in the panoramic view to obtain the target stakeholder data center corresponding to the digital twin data center. The relationship association processing includes at least one of stakeholder permission mapping, stakeholder role construction mapping, and data center-stakeholder panoramic composite rendering.

[0043] The target data center is located in the panoramic view and is used to respond to various control requirements for the target data center. Each control requirement has a corresponding control mode, and each control mode corresponds to one or more control requirements. All control modes include live mode, pre-occupancy mode, and rehearsal mode.

[0044] As an optional implementation, in a second aspect of the invention, the apparatus further includes:

[0045] The determination module is used to determine the target management mode corresponding to the target management requirement when a target management requirement for the target data center is detected.

[0046] The filtering module is used to filter out the target control functions that match the target control requirements from all the control functions included in the target control mode;

[0047] The demand response module is used to load all associated data corresponding to the target control function into the target related data center in order to respond to the target control demand; each target control function is mapped and controlled through the target related data center;

[0048] When the target management mode is the real-time mode, all the management functions corresponding to the real-time mode include real-time display, online inspection, alarm handling, data analysis, intelligent logs, and functions corresponding to data center asset management for the target data center.

[0049] The real-time display is used to visualize the real-time operating data of the target computer room; the online inspection is used to call the monitoring equipment corresponding to the target computer room for remote visual inspection.

[0050] As an optional implementation, in the second aspect of the present invention, when the target control mode is the pre-occupancy mode, all the control functions corresponding to the pre-occupancy mode include functions corresponding to the following: detailed display of data center resources for the target related data center, pre-occupancy / release of data center resources, coordination of data center resources, early warning of data center resources, online exploration of data center resources, and evaluation of data center resource utilization.

[0051] The data center resource pre-occupancy / release is used to perform add or release operations on the pre-occupancy data center resource information in the target related data center, and after determining that the operation verification of the add or release operation on the pre-occupancy data center resource information has been completed, the pre-occupancy data center resource information updated by the add or release operation is converted into real-time data corresponding to the target data center.

[0052] When the target control mode is the pre-simulation mode, all the control functions corresponding to the pre-simulation mode include the functions of inputting implementation and disposal plans for the target related computer room, plan simulation, plan evaluation, plan review, plan verification and evaluation, and monitoring the implementation process of the plan for the target computer room.

[0053] As an optional implementation, in the second aspect of the present invention, the data center data includes at least one of the following: data center identification data, data center space data, and data center business data of the target data center; the stakeholder information includes at least one of the following: all stakeholders corresponding to the target data center, stakeholder categories, stakeholder organization information, and stakeholder contract information;

[0054] The device further includes:

[0055] The integration module is used to perform preset integration processing on the data center data and stakeholder information corresponding to the target data center to be managed, according to preset data field attributes, after the acquisition module acquires the data center data and stakeholder information, to obtain the integrated data center data and stakeholder information. The integration processing includes at least one of data cleaning, data governance, and data aggregation.

[0056] As an optional implementation, in a second aspect of the present invention, the interference association processing module performs interference association processing on the stakeholder information and the digital twin data center in the panoramic plane to obtain the target interference data center corresponding to the digital twin data center. Specifically, this includes:

[0057] Analyze the stakeholder information to obtain the role trait information corresponding to each stakeholder. The role trait information includes at least one of the following: age, gender, major, body type, skin color, and hairstyle.

[0058] Based on the role trait information corresponding to each stakeholder, a preset role generation operation is performed on each stakeholder in the panoramic plane to obtain a three-dimensional role corresponding to each stakeholder;

[0059] Based on the data center identifier corresponding to the target data center, data center access permission verification is performed on each stakeholder to obtain the target stakeholder authorized to access the target stakeholder data center;

[0060] All the target stakeholders and their corresponding 3D roles are mapped in the digital twin data center to obtain the target stakeholder data center; when a target stakeholder exists in the target data center, that target stakeholder is synchronously mapped in the target stakeholder data center;

[0061] The synchronization mapping includes a 3D role mapping and a role action mapping for the target stakeholder.

[0062] As an optional implementation, in the second aspect of the present invention, the character generation operation includes three-dimensional character modeling, three-dimensional model material mapping, character skeleton binding, character animation production, rendering output, and establishment of a standard character library;

[0063] The relationship association processing module performs a preset role generation operation on each stakeholder in the panoramic view based on the role trait information corresponding to each stakeholder, and the specific method for obtaining the three-dimensional role corresponding to each stakeholder includes:

[0064] For each stakeholder, an initial role model is constructed based on the role trait information corresponding to that stakeholder. The initial role model of the stakeholder includes the head and head size ratio, the body and body size ratio, and the limbs and limb size ratio.

[0065] Material mapping and skeletal binding are performed on the initial character model of the stakeholder to obtain the intermediate character model of the stakeholder. The material mapping is used to add material maps on the basis of the initial character model of the stakeholder. The material maps include textures corresponding to skin, clothing and facial features. The character skeletal binding is used to bind the skeletal digital information of the stakeholder to the initial character model of the stakeholder.

[0066] Based on the determined character actions corresponding to the scene where the target computer room is located, the intermediate character model of the stakeholder is subjected to action creation and rendering to obtain the three-dimensional character of the stakeholder; all the three-dimensional characters of the stakeholder are used to establish a standard character library.

[0067] As an optional implementation, in a second aspect of the present invention, the acquisition module is further configured to load all associated data corresponding to the target control function into the target related data room in response to the target control requirement, and then acquire the loading information of the target related data room for all the associated data and the response information for the target control requirement.

[0068] The device further includes:

[0069] The analysis module is used to analyze the loading information and the response information to obtain the loading completion degree corresponding to the loading information and the response completion degree corresponding to the response information.

[0070] The determining module is further configured to determine that the target related computer room meets the preset operating requirements when both the loading completion degree and the response completion degree reach their respective corresponding standard completion degrees;

[0071] The optimization module is used to generate optimization information for the target optimization item according to a preset optimization procedure when there is a target optimization item among the test items that has not reached its corresponding standard completion degree, and to adjust the target optimization item through the optimization information so that all the test items reach their respective standard completion degree.

[0072] The items to be tested include the loading completion rate and the response completion rate.

[0073] A third aspect of this invention discloses another data center management device for the digitalization of the Metaverse, the device comprising:

[0074] Memory containing executable program code;

[0075] A processor coupled to the memory;

[0076] The processor calls the executable program code stored in the memory to execute the data center management method for the digitalization of the Metaverse disclosed in the first aspect of the present invention.

[0077] The fourth aspect of the present invention discloses a computer storage medium storing computer instructions, which, when invoked, are used to execute the data center management method for the digitalization of the Metaverse disclosed in the first aspect of the present invention.

[0078] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0079] This invention provides a method for managing and controlling a data center in the Metaverse digitization system. The method includes: acquiring data center data and stakeholder information corresponding to a target data center to be managed; both the data center data and stakeholder information are used to construct a digital space corresponding to the target data center; based on the data center data and determined modeling requirements, performing a panoramic data center construction on the target data center within a pre-constructed panoramic plane to obtain a digital twin data center corresponding to the target data center; the panoramic data center construction includes at least one of the following: 3D data center construction, model verification and correction, and digital twin deployment operations; in the full... In the panoramic view, stakeholder information and digital twin data center are associated with each other to obtain the target stakeholder data center corresponding to the digital twin data center. The association process includes at least one of stakeholder permission mapping, stakeholder role construction mapping, and data center-stakeholder panoramic composite rendering. The target stakeholder data center is set in the panoramic view and is used to respond to various control requirements for the target data center. Each control requirement has a corresponding control mode, and each control mode corresponds to one or more control requirements. All control modes include live mode, pre-occupancy mode, and rehearsal mode. As can be seen, implementing this invention can automatically acquire data (including data center data and stakeholder information) of the target data center under control, thereby performing data center panorama construction and stakeholder association processing in a panoramic view based on the determined modeling requirements, and obtaining the required target stakeholder data center, realizing the virtual data construction of the target data center in the actual scenario; at the same time, users can subsequently call the relevant mode (live, rehearsal, pre-occupancy) mode functions of the target stakeholder data center through this virtual view (panoramic view) according to their control requirements for the target data center; and then determine the target at the virtual level. After confirming the feasibility of operations in the target related computer room, the corresponding virtual data is then converted and fed back to the target computer room in the actual scenario, realizing virtual modeling interaction of the target computer room. This helps improve the accuracy of actual operations in the target computer room (such as implementing construction plans). At the same time, it can also synchronize the personnel entry and exit status and personnel operation records of the target computer room through the target related computer room, improving the accuracy of supervision of the target computer room and realizing traceability. It can also realize remote control of the target computer room based on the target related computer room, improving the real-time and convenient monitoring of the target computer room. Attached Figure Description

[0080] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0081] Figure 1This is a flowchart illustrating a data center management method for digitalizing the Metaverse, as disclosed in an embodiment of the present invention.

[0082] Figure 2 This is a flowchart illustrating another method for managing and controlling a data center in the digital metaverse as disclosed in an embodiment of the present invention.

[0083] Figure 3 This is a schematic diagram of the structure of a data center management and control device for the digitalization of the Metaverse, as disclosed in an embodiment of the present invention.

[0084] Figure 4 This is a schematic diagram of another data center management and control device for digitizing the Metaverse, as disclosed in an embodiment of the present invention.

[0085] Figure 5 This is a schematic diagram of the structure of another data center management and control device for the digitalization of the Metaverse, as disclosed in an embodiment of the present invention.

[0086] Figure 6 This is a flowchart illustrating another method for managing and controlling a data center in the digital metaverse as disclosed in an embodiment of the present invention.

[0087] Figure 7 This is a schematic diagram of another Metaverse digitization data center management device disclosed in an embodiment of the present invention. Detailed Implementation

[0088] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0089] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, apparatus, product, or end that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or ends.

[0090] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0091] This invention discloses a method and device for managing data centers in the Metaverse digitization system. It can automatically acquire data (including data center data and stakeholder information) of the target data center under management, and then, in a panoramic view, combine the determined modeling requirements to perform panoramic data center construction and stakeholder association processing to obtain the required target stakeholder data centers. This achieves virtual data construction of the target data center in a real-world scenario. Furthermore, users can subsequently adjust the mode functions (live, rehearsal, pre-occupancy) of the target stakeholder data center through this virtual view (panoramic view) according to their management needs. After confirming the feasibility of operations targeting the target data center at the virtual level, the corresponding virtual data is then converted and fed back to the target data center in the actual scenario, realizing virtual modeling interaction of the target data center. This improves the accuracy of actual operations and target data center operations (such as implementing construction plans). Simultaneously, it allows for the synchronization of personnel entry and exit information and operation records within the target data center, enhancing the accuracy of monitoring and enabling traceability. Furthermore, it enables remote control of the target data center, improving the real-time nature and convenience of monitoring. These will be explained in detail below.

[0092] Example 1

[0093] Please see Figure 1 , Figure 1 This is a flowchart illustrating a data center management method for digitizing the Metaverse, as disclosed in an embodiment of the present invention. Figure 1 The described method for managing and controlling the data center in the digitalized Metaverse can be applied to data center management and control devices in the digitalized Metaverse, and the embodiments of this invention are not limited thereto. Figure 1 As shown, the data center management method for the digitalization of the Metaverse can include the following operations:

[0094] 101. Obtain the data of the target data center to be managed and the information of stakeholders.

[0095] In this embodiment of the invention, data from the computer room and stakeholder information are used to construct a digital space corresponding to the target computer room.

[0096] In this embodiment of the invention, when acquiring data from the target data center and stakeholder information, if there is an existing management system for various devices within the target data center, and this management system has already collected relevant business data, the data center business data can be directly imported from each management system. For example, real-time operating data of power supply equipment, environmental monitoring equipment, air conditioning equipment, fire protection equipment, etc., can be imported from the environmental monitoring system. Data such as the name, model, software version, manufacturer, device ID, network topology, installation location information (row, column, U-position), device panel information, device port information, inter-device connection information (cable, fiber optic, network cable, coaxial cable, etc.), core parameter information, service information, and operating status of various devices can be imported from the network management systems of network devices, IT devices, and security devices. For information related to passive equipment (optical cables, fiber optic distribution frames, digital distribution frames, etc.), it can be manually verified and entered, and the manually verified information can be directly retrieved.

[0097] In this embodiment of the invention, the data center data includes at least one of the following: data center identification data, data center space data, and data center business data. Specifically, the data center identification data may include basic data such as data center name, number, address, latitude and longitude, property ownership, lease term, floor, area, design load, seismic fortification intensity, average number of thunderstorm days in the area, data center level, and management personnel.

[0098] Optionally, the data center space data may include architectural modeling data such as the data center structure, dimensions, 3D spatial layout of equipment and facilities, spatial location of cable trays, cabinet dimensions, cabinet U-positions, and cabinet numbers. Furthermore, for data centers with existing BIM systems, the data center space data can be directly exported from the BIM system; for newly built data centers or data centers without BIM systems, the data center space data can be obtained by analyzing and extracting data from the as-built CAD drawings of the data center. This embodiment of the invention is not limited to these limitations.

[0099] In this embodiment of the invention, the data center business data may include the name, model, software version, manufacturer, device ID, device network topology, installation location information (row, column, U-position), device panel information, device port information, device connection information (cable, fiber optic, network cable, coaxial cable, etc.), core device parameter information, carried service information, and device operating status of business equipment such as power supply equipment, network equipment, security equipment, IT equipment, environmental monitoring equipment, air conditioning equipment, access control equipment, video surveillance equipment, and optical cable patch panel equipment.

[0100] In this embodiment of the invention, stakeholder information includes at least one of the following: all stakeholders corresponding to the target data center, stakeholder categories, stakeholder organization information, and stakeholder contract information.

[0101] Optionally, the stakeholder category may include owners, surveyors, designers, construction workers, supervisors, maintenance personnel, equipment manufacturers, etc.; the stakeholder's company information may include the company's business registration information and qualification information; furthermore, the stakeholder information may also include each stakeholder's company authorization information, ID card information, personal qualification information, contact number, electronic signature, etc., which are not limited in this embodiment of the invention.

[0102] 102. Based on the data center data and the determined modeling requirements, perform a panoramic data center construction on the target data center in the pre-constructed panoramic plane to obtain a digital twin data center corresponding to the target data center.

[0103] In this embodiment of the invention, the panoramic construction of the data center includes at least one of the following: 3D construction of the data center, modeling verification and correction, and digital twin deployment.

[0104] Specifically, upon acquiring the data of the data center and detecting the modeling requirements for the target data center, the data of the data center (such as data center spatial data) is transformed into a corresponding digital twin model based on a pre-constructed panoramic view and mathematical modeling tools. The construction of the digital twin model includes the construction of a 3D model and an algorithm model.

[0105] After the initial transformation / construction of the digital twin model, it is necessary to verify the accuracy of the established digital twin model. If it is inaccurate, the data in the modeling process needs to be re-collected, re-processed, and re-modeled to correct the model.

[0106] Furthermore, after confirming that the digital twin model has passed verification, the digital twin model is integrated and deployed into the management and control system corresponding to the data center, thereby enabling real-time perception and tracking of the status of the real data center.

[0107] 103. In the panoramic view, perform relationship association processing on stakeholder information and digital twin data center to obtain the target stakeholder data center corresponding to the digital twin data center.

[0108] In this embodiment of the invention, the stakeholder association processing includes at least one of stakeholder permission mapping, stakeholder role construction mapping, and data center-stakeholder panoramic composite rendering.

[0109] In this embodiment of the invention, the implementation process for steps 101-103 can be found in [reference needed]. Figure 6 Specifically, the target related data center is set in the panoramic plane, and the target related data center is used to respond to various control requirements for the target data center. Each control requirement has a corresponding control mode, and each control mode corresponds to one or more control requirements. All control modes include live mode, pre-occupancy mode, and rehearsal mode.

[0110] It is evident that implementation Figure 1 The described Metaverse digitization data center management method can automatically acquire data (including data center data and stakeholder information) of the target data center under management. Then, within a panoramic view, it combines determined modeling requirements to perform panoramic data center construction and stakeholder association processing, obtaining the required target stakeholder data centers. This achieves virtual data construction of the target data center in a real-world scenario. Simultaneously, users can subsequently invoke relevant modes (live, rehearsal, pre-occupancy) for the target stakeholder data center based on their management needs through this virtual view (panoramic view). After confirming the feasibility of operations targeting the target data center at the virtual level, the corresponding virtual data is then converted and fed back to the target data center in the actual scenario, realizing virtual modeling interaction of the target data center. This helps improve the accuracy of actual operations and target data center operations (such as implementing construction plans). At the same time, it can also synchronize personnel entry and exit information and personnel operation records of the target data center through the target data center, improving the accuracy of supervision of the target data center and enabling traceability. It can also realize remote control of the target data center based on the target data center, improving the real-time and convenient monitoring of the target data center.

[0111] In an optional embodiment, after obtaining the data center data and stakeholder information corresponding to the target data center to be managed in step 101, the method further includes:

[0112] According to the preset data field attributes, the data center data and stakeholder information are subjected to preset integration processing to obtain integrated data center data and stakeholder information. The integration processing includes at least one of data cleaning, data governance, and data aggregation.

[0113] As can be seen, in this optional embodiment, by performing integrated processing on the acquired data center data and stakeholder information, it is beneficial to filter out redundant data, improve the efficiency of subsequent information retrieval of the data center data and stakeholder information, reduce information interference from redundant data, reduce the amount of data processing computation, and improve data processing efficiency.

[0114] In another optional embodiment, step 103 above, which performs relationship association processing on stakeholder information and digital twin data centers in the panoramic view to obtain the target stakeholder data center corresponding to the digital twin data center, specifically includes the following methods:

[0115] Analyze stakeholder information to obtain role trait information for each stakeholder. Role trait information includes at least one of the following: age, gender, profession, body type, skin color, and hairstyle.

[0116] Based on the role trait information of each stakeholder, a preset role generation operation is performed on each stakeholder in the panoramic plane to obtain a three-dimensional role corresponding to each stakeholder.

[0117] Based on the data center identification data corresponding to the target data center, the data center access permissions of each stakeholder are verified to obtain the target stakeholders authorized to access the target stakeholder data center;

[0118] All target stakeholders and their corresponding 3D roles are mapped in a digital twin data center to obtain the target stakeholder data center; when a target stakeholder exists in the target data center, that target stakeholder is synchronously mapped in the target stakeholder data center;

[0119] Synchronous mapping includes 3D role mapping and role action mapping for a specific target stakeholder.

[0120] As can be seen, in this optional embodiment, by performing stakeholder role modeling and establishing stakeholder association with the digital twin data center, in addition to the basic 3D construction of the data twin data center, it is also possible to construct and synchronize roles for all personnel (stakeholders) entering the target data center in the actual real-world scenario. This virtual data synchronizes offline real-person visits to the target data center to the online virtual target stakeholder data center, improving the simulation of the target stakeholder data center and enabling data traceability. Furthermore, the stakeholder association processing prevents other personnel who have not been associated with the backend system from freely entering and exiting the target data center, thus restricting the flow of people into and out of the target data center. This helps reduce the probability of security management risks in the target data center caused by frequent personnel entering and exiting, thereby improving the reliability of security control of the target data center.

[0121] In this optional embodiment, the character generation operation includes 3D character modeling, 3D model material mapping, character skeleton binding, character animation production, rendering output, and establishment of a standard character library;

[0122] The method described above, which involves performing a preset character generation operation on each stakeholder in the panoramic plane based on their corresponding role trait information to obtain a 3D character for each stakeholder, specifically includes:

[0123] For each stakeholder, an initial role model is constructed based on the stakeholder's corresponding role trait information. The initial role model of the stakeholder includes the head and head size ratio, the body and body size ratio, and the limbs and limb size ratio.

[0124] Material mapping and skeletal rigging are performed on the initial character model of the stakeholder to obtain the intermediate character model of the stakeholder. Material mapping is used to add material maps on the basis of the initial character model of the stakeholder. The material maps include textures corresponding to the skin, clothing and facial features. Character skeletal rigging is used to bind the skeletal digital information of the stakeholder to the initial character model of the stakeholder.

[0125] Based on the identified character actions corresponding to the scene where the target computer room is located, the intermediate character model of the stakeholder is animated and rendered to obtain the 3D character of the stakeholder; the 3D characters of all stakeholders are used to establish a standard character library.

[0126] In this optional embodiment, after determining the basic characteristics of each stakeholder's role, a 3D model of each stakeholder's appearance can be created using 3D modeling software. The initial character model prioritizes the creation of the head, body, and limbs. Furthermore, this initial character model can be sculpted by incorporating each stakeholder's body data, such as height, weight, arm length, shoulder width, and overall silhouette. Then, texture mapping is applied to the skin, facial features, and clothing to make each stakeholder's digital avatar more realistic. Next, skeletal rigging technology is used to bind each stakeholder's intermediate character model to their skeleton, enabling animation. Further, animation software is used to add various actions to each stakeholder's intermediate character model. Finally, rendering software is used to render the 3D character image and animation of each stakeholder.

[0127] The character actions corresponding to the scene of the target computer room include common construction process actions in the computer room such as facial expressions, walking, opening and closing cabinet doors, checking instruments, installing and dismantling cabinets, installing and removing equipment, laying cables, terminating cables, powering on equipment, and powering off equipment.

[0128] In this optional embodiment, a standard role library can be established for different types of stakeholders, such as data center owners, surveyors, designers, construction workers, maintenance personnel, and equipment manufacturers. It also supports personalized customization settings. Subsequently, users only need to select the corresponding role template from the stored standard role library and input the role parameters to be adjusted (such as height, weight, facial features, clothing, and actions) to achieve personalized role generation.

[0129] As can be seen, in this optional embodiment, after the digital twin model is built, role modeling can be performed for all stakeholders. This allows the processing to display, view, and edit the virtual model corresponding to the target computer room in the panoramic view. At the same time, each person entering the target computer room can also be synchronously in the target stakeholder computer room as a virtual role. This realizes the function of traceability and synchronization of the process of multiple people entering and leaving the target computer room, which improves the real-time monitoring, synchronous accuracy of supervision, and convenience of traceability of the target computer room. It also expands the application scope of the computer room data and stakeholder information of the target computer room.

[0130] Example 2

[0131] Please see Figure 2 , Figure 2This is a flowchart illustrating another data center management method for digitizing the Metaverse, as disclosed in an embodiment of the present invention. Figure 2 The described method for managing and controlling the data center in the digitalized Metaverse can be applied to data center management and control devices in the digitalized Metaverse, and the embodiments of this invention are not limited thereto. Figure 2 As shown, the data center management method for the digitalization of the Metaverse can include the following operations:

[0132] 201. Obtain the data of the target data center to be managed and the information of stakeholders.

[0133] 202. Based on the data center data and the determined modeling requirements, perform a panoramic data center construction on the target data center in the pre-constructed panoramic plane to obtain a digital twin data center corresponding to the target data center.

[0134] 203. In the panoramic view, perform relationship association processing on stakeholder information and digital twin data center to obtain the target stakeholder data center corresponding to the digital twin data center.

[0135] For further descriptions of steps 201-203 in this embodiment of the invention, please refer to the other specific descriptions of steps 101-103 in Embodiment 1. These descriptions will not be repeated in this embodiment of the invention.

[0136] 204. When a target control requirement for a target data center is detected, determine the target control mode corresponding to the target control requirement.

[0137] 205. Select the target control functions that match the target control requirements from all the control functions included in the target control model.

[0138] 206. Load all associated data corresponding to the target control function in the target related computer room to respond to the target control requirements.

[0139] In this embodiment of the invention, the control function of each target is mapped and controlled through the target related computer room.

[0140] In this embodiment of the invention, when the target control mode is live mode, please refer to... Figure 7 ,like Figure 7 As shown, all the control functions corresponding to the live mode include live display of the target data center, online inspection, alarm handling, data analysis, intelligent logs, and functions corresponding to data center asset management;

[0141] Among them, the real-time display is used to visualize the real-time operation data of the target computer room; the online inspection is used to call the monitoring equipment corresponding to the target computer room for remote visual inspection.

[0142] Specifically, in live mode, it can display a comprehensive visual representation of the data center's overall operating status, including but not limited to rack installation rate, equipment racking rate, power system utilization rate, mean time between failures (MTBF), 3D spatial layout of the data center, temperature distribution map, humidity curve, video monitoring window, alarm display window, important construction and maintenance task notification window, and resource early warning display window. It also supports custom adjustments to the visualization interface.

[0143] The aforementioned online inspection functions support remote visual inspections via video surveillance (such as checking the cleanliness of the computer room environment, the proper placement of items in construction projects, playback of abnormal behavior of personnel entering the computer room for evidence collection, whether relevant signs and markings in the computer room are missing, whether fire exits are unobstructed, and whether fire-fighting equipment is placed in accordance with regulations, etc.); support reading data collected by various monitoring devices to check the environment and equipment operating status; support reading data from personnel access control records in the computer room and automatically comparing them with computer room access application data; support graphical selection of specific devices to read device operation or collected data; support selection or customization of online inspection report templates, automatically generating inspection reports, monthly / semi-annual / annual inspection reports, and loading signatures; support the creation of online and offline inspection plans and automatic push notifications.

[0144] The alarm handling function described above is used to collect alarm information from various equipment and facilities in the computer room, and to merge multiple alarm information of the same event through algorithms. It has a built-in library of common alarm handling solutions, provides search and query functions, and connects to various equipment management systems to provide handling suggestions.

[0145] The data analysis functions described above support both templated and custom methods for analyzing the operational status of equipment within the computer room. The specific steps include: ① Selecting the equipment or facility to be analyzed; ② Selecting the main performance indicators and time period to be analyzed; ③ Selecting an analysis report template or a custom template; ④ Generating the corresponding analysis report.

[0146] The aforementioned intelligent log function mainly records important events such as access control in the computer room, construction and maintenance operations in the computer room, abnormal changes in the status data of various equipment and facilities, and the slots of the computer room stakeholder system, and automatically generates logs. The intelligent log also supports operations such as retrieval, query, access, and export.

[0147] The aforementioned data center asset management functions support automatic asset inventory and output of asset inventory reports. The asset inventory report includes the following information: asset number, asset name, specifications, quantity, original value, planned depreciation period, accumulated depreciation, net value, asset status, and responsible manager.

[0148] In this embodiment of the invention, optionally, when the target control mode is a pre-occupancy mode, such as Figure 7As shown, all the control functions corresponding to the pre-occupancy mode include detailed display of data center resources for the target related data center, pre-occupancy / release of data center resources, coordination of data center resources, early warning of data center resources, online exploration of data center resources, and evaluation of data center resource utilization.

[0149] Among them, the pre-occupancy / release of data center resources is used to perform add or release operations on the pre-occupancy data center resource information in the target related data center. After confirming that the operation verification for the add or release operation on the pre-occupancy data center resource information has been completed, the updated pre-occupancy data center resource information corresponding to the add or release operation is converted into real-time data corresponding to the target data center.

[0150] In this embodiment of the invention, specifically, under the resource pre-allocation mode, the data center resource details support the display of a single map (such as a 3D twin digital data center panoramic view) of the data center resources. This is achieved by loading the designed resource capacity, actual used resource quantity, pre-allocated resource quantity, and remaining resource quantity of each device into the 3D twin digital data center panoramic view. Resources include, but are not limited to, power resources (capacity, connection terminals), rack installation space, rack internal space (U-position), equipment slots, equipment ports, fiber optic / patch cable termination positions, grounding copper busbar holes, and air conditioning cooling capacity. This provides a single-map illustration function, which also allows for the creation of a resource warning display window for timely viewing of resource warning information.

[0151] In this embodiment of the invention, the aforementioned data center resource pre-allocation / release function is mainly used to add or release pre-allocated resource information in the 3D twin digital data center panoramic image. Resource pre-allocation specifically includes the following steps:

[0152] ① Select the location information (rack U-position, rack position, or equipment slot) for the equipment or expansion board to be installed, and enter the information of the equipment / board to be installed (manufacturer, model, version number); ② Select the power supply equipment to be powered (including the specifications, quantity, and location of the power connection terminals), and enter the power to be increased this time; ③ Select the other equipment, patch panels, optical cables, and grounding copper busbars that need to be connected to the newly added equipment or expansion board, and enter the occupied / connected port / fiber core information; ④ The system automatically calculates whether the newly added pre-occupied resources exceed the capacity of the original planned resources (key data such as electricity and cooling capacity), and provides a prompt; ⑤ The system automatically records the pre-occupied applicant (unit) information, project information, and estimated construction time, and submits the pre-occupied resource application; ⑥ The data center administrator further reviews and confirms; ⑦ After confirmation, the pre-occupied information is officially generated and loaded into the data center resource pre-occupied map; ⑧ After construction is completed, the pre-occupied resources are converted into real-time data according to the actual usage; ⑨ The system automatically compares the actual occupied resources with the pre-occupied resource application information to form an electronic document for the evaluation function to call.

[0153] In this embodiment of the invention, resource release specifically includes the following steps: ① Select the pre-occupied equipment / board to be released. ② Submit a deletion request. ③ The system verifies permissions. ④ The data center administrator approves. ⑤ The system deletes the equipment / board and other associated resources such as power supply and patch panels. ⑥ Record the entire process information of the resource from pre-occupancy to release, forming an electronic document for use in the evaluation function.

[0154] In this embodiment of the invention, the data center resource coordination function is mainly used as a coordination module to coordinate the priority of resource allocation by various units based on the importance and urgency of each construction task when data center resources are scarce. Specifically, it includes the following steps:

[0155] ① Submit a resource coordination request (including the reason for the request, the basis, the resource requirement, and the stakeholders to be coordinated with). ② The data center administrator conducts a preliminary review of the coordination request. ③ The applicant and the stakeholders to be coordinated are notified to organize an online meeting to reach a consensus, form meeting minutes, and all parties sign their opinions online. ④ The coordinated parties and the applicant, based on the meeting minutes, pre-allocate and release the corresponding resources in module M202, the resource pre-allocation / release module, respectively. ⑤ The system verifies the execution of the minutes to achieve a closed loop for the coordination.

[0156] In this embodiment of the invention, the above-mentioned data center resource early warning function is used to periodically compare the actual value and the pre-occupancy value according to the preset resource early warning value of various devices, automatically generate resource early warning information and publish it on the function pages corresponding to data center resource details and data center resource pre-occupancy / release, and at the same time automatically push the information to the data center administrator.

[0157] In this embodiment of the invention, the above-mentioned online survey function for computer room resources mainly serves survey and design units. It can support the download of real-time values ​​and pre-occupancy values ​​of various equipment and facilities resources in the computer room, support the generation of templated and customized online survey reports, and support the export of computer room CAD drawings.

[0158] In this embodiment of the invention, the aforementioned data center resource utilization evaluation function is mainly used to evaluate the rational utilization of data center resources by various stakeholders through each module in the pre-occupancy mode, and to periodically output evaluation reports to provide data center administrators with basic data support for evaluation. The evaluation indicators include, but are not limited to, the pre-occupancy duration of various resources, the conversion rate from pre-occupancy work orders to implementation and construction, the accuracy rate of pre-occupancy resource values, and comparative data of each indicator with the average values ​​of each unit.

[0159] In this embodiment of the invention, optionally, when the target control mode is the rehearsal mode, such as Figure 7 As shown, all control functions corresponding to the pre-simulation mode include functions for inputting implementation and disposal plans for the target related computer rooms, plan simulation, plan evaluation, plan review, plan verification and evaluation, and monitoring the implementation process of the plan for the target computer rooms.

[0160] In this embodiment of the invention, the above-mentioned implementation and disposal plan input function can support the step-by-step input of implementation and disposal plans such as construction plans, cutover plans, and emergency plans within the computer room. Each implementation step must include the following information: the supported entity, the location of the operation, the operation content (e.g., power on / off, equipment cabinet installation / removal, equipment mounting / unmounting, equipment expansion / removal, cable laying, cable termination), the estimated consumption of space / power / cooling resources for this step, and the operation process (e.g., cabinet installation process: bottom fixing method, top fixing method), etc.

[0161] In this embodiment of the invention, the above-mentioned scheme simulation function can generate animations of each decomposed step of the implementation scheme input function through 3D animation technology, and perform them in a 3D twin computer room, providing an intuitive and vivid visual animation for scheme review.

[0162] In this embodiment of the invention, the aforementioned scheme evaluation function is used to automatically calculate the impact of each step input by the above-mentioned implementation and disposal scheme input function on other equipment and facilities in the computer room, and provide an evaluation opinion. For example, if adding a new device is expected to increase the load by 1KW, the system automatically calculates the load of related equipment such as the power distribution cabinet, switching power supply system, and UPS power supply system that the device draws power from, and compares it with the warning values ​​of relevant parameters of the related equipment to provide a preliminary evaluation opinion.

[0163] In this embodiment of the invention, the above-mentioned scheme review function is used to support project stakeholders such as data center administrators, designers, supervisors, and construction personnel to jointly review the input schemes based on system animation demonstrations and automatic system evaluations, form review minutes, and determine the implementation plan.

[0164] In this embodiment of the invention, the above-mentioned implementation process monitoring function is used to automatically determine whether the construction process is consistent with the established construction plan by comparing key information (installation location, power connection location, size of power circuit breaker, etc.) of key steps in the system plan with the actual changes in the status of equipment and facilities at the construction site, thus assisting the supervisor in monitoring the compliance of the construction process. For example, the construction plan proposes to install a certain device in positions U10-U14 of rack 01, but the on-site construction installs the device in positions U15-U19 of rack 01. This function compares the data collected by the U-position data acquisition device in the computer room with the data input in the construction plan. If an inconsistency is found, it is determined that the construction has not been implemented according to the established plan, and the function immediately pushes information to the on-site construction personnel and on-site supervisor for timely correction.

[0165] In this embodiment of the invention, the above-mentioned scheme verification and evaluation function is used to statistically analyze the accuracy of the execution of the established construction plan by each computer room construction and supervision unit, and to periodically output evaluation reports to provide basic evaluation data for computer room administrators.

[0166] As can be seen, in this embodiment of the invention, by introducing three modes—real-time, pre-occupancy, and pre-drill—a digital management method is proposed that covers application scenarios such as routine operation and maintenance of data centers, collaborative management of data center resources, simulation and verification of data center engineering technical solutions, remote planning, surveying, design, and operation and maintenance of data centers. This solves the problems of current data center management, such as the lack of technical solution simulation and verification tools, the lack of online resource collaborative management, and the mitigation of potential security risks caused by frequent entry and exit of data center personnel. It is conducive to improving the work efficiency of various stakeholders involved in the management of the target data center and reducing their workload.

[0167] It is evident that implementation Figure 2 The described Metaverse digitization data center management method can accurately determine the target management mode corresponding to the target management needs triggered by users after the target data center is constructed. Then, it can intelligently mobilize the target management functions and related data in the target management mode to accurately respond to the target management needs. In other words, it can give full play to the data value of the data center data and stakeholder data collected. At the same time, it can solve the problems of existing data center management, such as lack of verification tools for technical solutions, lack of online resource system management, and high potential risks of data centers. It can also improve the work efficiency and convenience of stakeholders corresponding to the target data center.

[0168] In an optional embodiment, after loading all associated data corresponding to the target management function in the target related data center in response to the target management requirements, the method further includes:

[0169] Obtain loading information for all related data in the target related data center, as well as response information for target control requirements;

[0170] Analyze the loading and response information to obtain the loading completion rate corresponding to the loading information and the response completion rate corresponding to the response information.

[0171] When both the loading completion rate and the response completion rate reach their respective standard completion rates, it is determined that the target related computer room meets the preset operating requirements.

[0172] When there are target optimization items among the items to be tested that have not reached their corresponding standard completion level, optimization information for the target optimization items is generated according to the preset optimization procedure, and the target optimization items are adjusted through the optimization information so that all items to be tested reach their respective standard completion level.

[0173] The items to be tested include loading completion rate and response completion rate.

[0174] As can be seen, in this optional embodiment, a response verification procedure is set for each target control function. By analyzing the loading completion rate corresponding to the loading information and the response completion rate corresponding to the response information, the overall performance of the virtual machine room of the target related data center is realized. When there is an optimization item for the target, it automatically optimizes and adjusts, thereby improving the overall performance of the virtual machine room and improving the applicability of the target related data center.

[0175] Example 3

[0176] Please see Figure 3 , Figure 3 This is a schematic diagram of a data center management device for the digital Metaverse universe, as disclosed in an embodiment of the present invention. The data center management device for the digital Metaverse universe can be a data center management terminal, equipment, system, or server. The server can be a local server, a remote server, or a cloud server (also known as a cloud-based server). When the server is not a cloud server, it can communicate with the cloud server. This embodiment of the invention is not limited to this. Figure 3 As shown, the data center management device for the digitalization of the Metaverse may include an acquisition module 301, a construction module 302, and a correlation processing module 303, wherein:

[0177] The acquisition module 301 is used to acquire the data center data and stakeholder information corresponding to the target data center to be managed. The data center data and stakeholder information are used to construct a digital space corresponding to the target data center.

[0178] In this embodiment of the invention, the data center data includes at least one of the following: data center identification data, data center space data, and data center business data; the stakeholder information includes at least one of the following: all stakeholders corresponding to the target data center, stakeholder categories, stakeholder organization information, and stakeholder contract information.

[0179] The construction module 302 is used to perform panoramic construction of the target data center in a pre-constructed panoramic plane based on the data center data and the determined modeling requirements, so as to obtain a digital twin data center corresponding to the target data center. The panoramic construction of the data center includes at least one of the following operations: 3D construction of the data center, model verification and correction, and digital twin deployment.

[0180] The relationship association processing module 303 is used to perform relationship association processing on stakeholder information and digital twin data center in the panoramic view to obtain the target stakeholder data center corresponding to the digital twin data center. The relationship association processing includes at least one of stakeholder permission mapping, stakeholder role construction mapping, and data center-stakeholder panoramic composite rendering.

[0181] The target related data center is set in the panoramic plane and is used to respond to various control requirements for the target data center. Each control requirement has a corresponding control mode, and each control mode corresponds to one or more control requirements. All control modes include live mode, pre-occupancy mode and rehearsal mode.

[0182] It is evident that implementation Figure 3 The described Metaverse digitized data center management device can automatically acquire data (including data center data and stakeholder information) of the target data center under management. Then, within a panoramic plane, it combines determined modeling requirements to perform panoramic data center construction and stakeholder association processing, obtaining the required target stakeholder data center. This achieves virtual data construction of the target data center in a real-world scenario. Simultaneously, users can subsequently invoke relevant modes (live, rehearsal, pre-occupancy) for the target stakeholder data center through this virtual plane (panoramic plane) according to their management needs. After confirming the feasibility of operations targeting the target data center at the virtual level, the corresponding virtual data is then converted and fed back to the target data center in the actual scenario, realizing virtual modeling interaction of the target data center. This helps improve the accuracy of actual operations and target data center operations (such as implementing construction plans). At the same time, it can also synchronize personnel entry and exit information and personnel operation records of the target data center through the target data center, improving the accuracy of supervision of the target data center and enabling traceability. It can also realize remote control of the target data center based on the target data center, improving the real-time and convenient monitoring of the target data center.

[0183] In an optional embodiment, such as Figure 4 As shown, the device also includes a determining module 304, a filtering module 305, and a demand response module 306, wherein:

[0184] The determination module 304 is used to determine the target control mode corresponding to the target control requirement when a target control requirement for the target data center is detected.

[0185] The filtering module 305 is used to filter out the target control functions that match the target control requirements from all the control functions included in the target control mode;

[0186] The demand response module 306 is used to load all associated data corresponding to the target control function in the target related data room in order to respond to the target control requirements; each target control function is mapped and controlled through the target related data room.

[0187] As can be seen, in this optional embodiment, after the target data center is constructed, the target control mode corresponding to the target control demand triggered by the user can be accurately determined. Then, the target control function and related data in the target control mode can be intelligently mobilized to accurately respond to the target control demand. In other words, the data value corresponding to the collected data center data and stakeholder data can be fully utilized. At the same time, it can solve the problems of lack of verification tools, lack of online resource system management, and high potential risks in existing data center management. It can also improve the work efficiency and convenience of the stakeholders corresponding to the target data center.

[0188] In this optional embodiment, when the target control mode is live mode, please refer to... Figure 7 ,like Figure 7 As shown, all the control functions corresponding to the live mode include live display of the target data center, online inspection, alarm handling, data analysis, intelligent logs, and functions corresponding to data center asset management;

[0189] Among them, the real-time display is used to visualize the real-time operation data of the target computer room; the online inspection is used to call the monitoring equipment corresponding to the target computer room for remote visual inspection.

[0190] In this optional embodiment, when the target control mode is the pre-occupancy mode, such as Figure 7 As shown, all the control functions corresponding to the pre-occupancy mode include the following functions: detailed display of data center resources for the target related data center, pre-occupancy / release of data center resources, coordination of data center resources, early warning of data center resources, online exploration of data center resources, and evaluation of data center resource utilization.

[0191] Among them, the pre-occupation / release of data center resources is used to perform addition or release operations on the pre-occupation data center resource information in the target related data center. After confirming that the operation verification for the addition or release operation on the pre-occupation data center resource information has been completed, the updated pre-occupation data center resource information corresponding to the addition or release operation is converted into real-time data corresponding to the target data center.

[0192] like Figure 7 As shown, when the target control mode is the rehearsal mode, all control functions corresponding to the rehearsal mode include the input of implementation and disposal plans for the target related computer rooms, plan simulation, plan evaluation, plan review, plan verification and evaluation, and the corresponding functions for monitoring the implementation process of the plan for the target computer rooms.

[0193] As can be seen, in this optional embodiment, by introducing three modes—live, pre-occupancy, and pre-drill—a digital management method is proposed that covers application scenarios such as routine operation and maintenance of data centers, collaborative management of data center resources, simulation and verification of data center engineering technical solutions, remote planning, surveying, design, and operation and maintenance of data centers. This solves the current problems of lack of technical solution simulation and verification tools, lack of online resource collaborative management, and mitigation of potential security risks caused by frequent entry and exit of data center personnel. It is conducive to improving the work efficiency of various stakeholders involved in the management of the target data center and reducing their workload.

[0194] In another alternative embodiment, the device further includes an integration module 307, wherein:

[0195] The integration module 307 is used to perform preset integration processing on the data center data and stakeholder information corresponding to the target data center to be managed after the acquisition module 301 acquires the data center data and stakeholder information. The integration processing includes at least one of data cleaning, data governance, and data aggregation.

[0196] As can be seen, in this optional embodiment, by performing integrated processing on the acquired data center data and stakeholder information, it is beneficial to filter out redundant data, improve the efficiency of subsequent information retrieval of the data center data and stakeholder information, reduce information interference from redundant data, reduce the amount of data processing computation, and improve data processing efficiency.

[0197] In another optional embodiment, the relationship association processing module 303 performs relationship association processing on stakeholder information and digital twin data centers in the panoramic view to obtain the target stakeholder data center corresponding to the digital twin data center. The specific methods include:

[0198] Analyze stakeholder information to obtain role trait information for each stakeholder. Role trait information includes at least one of the following: age, gender, profession, body type, skin color, and hairstyle.

[0199] Based on the role trait information of each stakeholder, a preset role generation operation is performed on each stakeholder in the panoramic plane to obtain a three-dimensional role corresponding to each stakeholder.

[0200] Based on the data center identifier corresponding to the target data center, the data center access permissions of each stakeholder are verified to obtain the target stakeholders authorized to access the target stakeholder data center;

[0201] All target stakeholders and their corresponding 3D roles are mapped in a digital twin data center to obtain the target stakeholder data center; when a target stakeholder exists in the target data center, that target stakeholder is synchronously mapped in the target stakeholder data center;

[0202] Synchronous mapping includes 3D role mapping and role action mapping for a specific target stakeholder.

[0203] As can be seen, in this optional embodiment, by performing stakeholder role modeling and establishing stakeholder association with the digital twin data center, in addition to the basic 3D construction of the data twin data center, it is also possible to construct and synchronize roles for all personnel (stakeholders) entering the target data center in the actual real-world scenario. This virtual data synchronizes offline real-person visits to the target data center to the online virtual target stakeholder data center, improving the simulation of the target stakeholder data center and enabling data traceability. Furthermore, the stakeholder association processing prevents other personnel who have not been associated with the backend system from freely entering and exiting the target data center, thus restricting the flow of people into and out of the target data center. This helps reduce the probability of security management risks in the target data center caused by frequent personnel entering and exiting, thereby improving the reliability of security control of the target data center.

[0204] In this optional embodiment, the character generation operation includes 3D character modeling, 3D model material mapping, character skeleton binding, character animation production, rendering output, and establishment of a standard character library;

[0205] The stakeholder association processing module 303 performs a preset role generation operation on each stakeholder in the panoramic view based on the role trait information corresponding to each stakeholder, and the specific methods for obtaining the three-dimensional role corresponding to each stakeholder include:

[0206] For each stakeholder, an initial role model is constructed based on the stakeholder's corresponding role trait information. The initial role model of the stakeholder includes the head and head size ratio, the body and body size ratio, and the limbs and limb size ratio.

[0207] Material mapping and skeletal rigging are performed on the initial character model of the stakeholder to obtain the intermediate character model of the stakeholder. Material mapping is used to add material maps on the basis of the initial character model of the stakeholder. The material maps include textures corresponding to the skin, clothing and facial features. Character skeletal rigging is used to bind the skeletal digital information of the stakeholder to the initial character model of the stakeholder.

[0208] Based on the identified character actions corresponding to the scene where the target computer room is located, the intermediate character model of the stakeholder is animated and rendered to obtain the 3D character of the stakeholder; the 3D characters of all stakeholders are used to establish a standard character library.

[0209] As can be seen, in this optional embodiment, after the digital twin model is built, role modeling can be performed for all stakeholders. This allows the processing to display, view, and edit the virtual model corresponding to the target computer room in the panoramic view. At the same time, each person entering the target computer room can also be synchronously in the target stakeholder computer room as a virtual role. This realizes the function of traceability and synchronization of the process of multiple people entering and leaving the target computer room, which improves the real-time monitoring, synchronous accuracy of supervision, and convenience of traceability of the target computer room. It also expands the application scope of the computer room data and stakeholder information of the target computer room.

[0210] In another optional embodiment, the acquisition module 301 is further configured to load all associated data corresponding to the target control function in the target related data room in response to the target control requirements, and then acquire the loading information of the target related data room for all associated data and the response information for the target control requirements.

[0211] like Figure 4 As shown, the device also includes an analysis module 308 and an optimization module 309, wherein:

[0212] Analysis module 308 is used to analyze loading information and response information to obtain the loading completion rate corresponding to the loading information and the response completion rate corresponding to the response information.

[0213] The determination module 304 is also used to determine that the target related computer room meets the preset operating requirements when both the loading completion degree and the response completion degree reach their respective corresponding standard completion degrees;

[0214] The optimization module 309 is used to generate optimization information for the target optimization item according to a preset optimization procedure when there is a target optimization item among the test items that has not reached its corresponding standard completion degree, and to adjust the target optimization item through the optimization information so that all test items reach their respective standard completion degree.

[0215] The items to be tested include loading completion rate and response completion rate.

[0216] As can be seen, in this optional embodiment, a response verification procedure is set for each target control function. By analyzing the loading completion rate corresponding to the loading information and the response completion rate corresponding to the response information, the overall performance of the virtual machine room of the target related data center is realized. When there is an optimization item for the target, it automatically optimizes and adjusts, thereby improving the overall performance of the virtual machine room and improving the applicability of the target related data center.

[0217] Example 4

[0218] Please see Figure 5 , Figure 5This is a schematic diagram of the structure of another data center management and control device for the digitalization of the Metaverse, as disclosed in an embodiment of the present invention. Figure 5 As shown, the data center management device for the digitalized Metaverse may include:

[0219] Memory 401 storing executable program code;

[0220] Processor 402 coupled to memory 401;

[0221] The processor 402 calls the executable program code stored in the memory 401 to execute the steps in the data center management method for the digitalization of the Metaverse as described in Embodiment 1 or Embodiment 2 of the present invention.

[0222] Example 5

[0223] This invention discloses a computer storage medium storing computer instructions. When these computer instructions are invoked, they are used to execute the steps in the data center management method for the digitalization of the Metaverse as described in Embodiment 1 or Embodiment 2 of this invention.

[0224] Example 6

[0225] This invention discloses a computer program product, which includes a non-transitory computer storage medium storing a computer program, and the computer program is operable to cause a computer to perform the steps in the data center management method for digitizing the Metaverse as described in Embodiment 1 or Embodiment 2.

[0226] The device embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0227] Through the detailed description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0228] Finally, it should be noted that the data center management method and apparatus for the digitalization of the Metaverse disclosed in the embodiments of the present invention are merely preferred embodiments of the present invention and are only used to illustrate the technical solutions of the present invention, not to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A data center management and control method for the digitalization of the Metaverse, characterized in that, The method includes: Acquire the data center data and stakeholder information corresponding to the target data center to be managed. The data center data and stakeholder information are used to construct a digital space corresponding to the target data center. Based on the data center data and the determined modeling requirements, a panoramic view of the target data center is constructed in a pre-built panoramic plane to obtain a digital twin data center corresponding to the target data center; the panoramic view construction of the data center includes at least one of the following: 3D data center construction, model verification and correction, and digital twin deployment operation; In the panoramic view, the stakeholder information and the digital twin data center are subjected to stakeholder association processing to obtain the target stakeholder data center corresponding to the digital twin data center. The stakeholder association processing includes at least one of stakeholder permission mapping, stakeholder role construction mapping, and data center-stakeholder panoramic composite rendering. The target data center is located in the panoramic view and is used to respond to various control requirements for the target data center. Each control requirement has a corresponding control mode, and each control mode corresponds to one or more control requirements. All control modes include live mode, pre-occupancy mode and rehearsal mode. The method further includes: When a target management requirement for the target data center is detected, the target management mode corresponding to the target management requirement is determined. Select the target control function that matches the target control requirements from all the control functions included in the target control mode; All associated data corresponding to the target control function are loaded into the target data center to respond to the target control requirements; each target control function is mapped and controlled through the target data center. When the target management mode is the real-time mode, all the management functions corresponding to the real-time mode include real-time display, online inspection, alarm handling, data analysis, intelligent logs, and functions corresponding to data center asset management for the target data center. The real-time display is used to visually display the real-time operating data of the target computer room; the online inspection is used to call the monitoring equipment corresponding to the target computer room for remote visual inspection. When the target control mode is the pre-occupancy mode, all the control functions corresponding to the pre-occupancy mode include the functions corresponding to the data center resource details display, data center resource pre-occupancy / release, data center resource coordination, data center resource early warning, data center resource online exploration, and data center resource utilization evaluation for the target related data center. The data center resource pre-occupancy / release is used to perform add or release operations on the pre-occupancy data center resource information in the target related data center, and after determining that the operation verification of the add or release operation on the pre-occupancy data center resource information has been completed, the pre-occupancy data center resource information updated by the add or release operation is converted into real-time data corresponding to the target data center. When the target control mode is the pre-drill mode, all the control functions corresponding to the pre-drill mode include the functions of inputting implementation and disposal plans for the target related computer room, plan simulation, plan evaluation, plan review, plan verification and evaluation, and monitoring the implementation process of the plan for the target computer room. The data center data includes at least one of the following: data center identification data, data center space data, and data center business data; the stakeholder information includes at least one of the following: all stakeholders corresponding to the target data center, stakeholder categories, stakeholder organization information, and stakeholder contract information; After obtaining the data center data and stakeholder information corresponding to the target data center to be managed, the method further includes: According to preset data field attributes, preset integration processing is performed on the data center data and the stakeholder information to obtain integrated data center data and stakeholder information. The integration processing includes at least one of data cleaning, data governance, and data aggregation.

2. The data center management method for the digitalization of the Metaverse as described in claim 1, characterized in that, In the panoramic view, the process of performing a relationship association process between the stakeholder information and the digital twin data center to obtain the target stakeholder data center corresponding to the digital twin data center includes: Analyze the stakeholder information to obtain the role trait information corresponding to each stakeholder. The role trait information includes at least one of the following: age, gender, major, body type, skin color, and hairstyle. Based on the role trait information corresponding to each stakeholder, a preset role generation operation is performed on each stakeholder in the panoramic plane to obtain a three-dimensional role corresponding to each stakeholder; Based on the data center identifier corresponding to the target data center, data center access permission verification is performed on each stakeholder to obtain the target stakeholder authorized to access the target stakeholder data center; All the target stakeholders and their corresponding 3D roles are mapped in the digital twin data center to obtain the target stakeholder data center; when a target stakeholder exists in the target data center, that target stakeholder is synchronously mapped in the target stakeholder data center; The synchronization mapping includes a 3D role mapping and a role action mapping for the target stakeholder.

3. The data center management and control method for the digitalization of the Metaverse as described in claim 2, characterized in that, The character generation operation includes 3D character modeling, 3D model material mapping, character skeleton binding, character animation production, rendering output, and establishment of a standard character library; The step of performing a preset character generation operation on each stakeholder in the panoramic view based on the role trait information corresponding to each stakeholder to obtain a three-dimensional character corresponding to each stakeholder includes: For each stakeholder, an initial role model is constructed based on the role trait information corresponding to that stakeholder. The initial role model of the stakeholder includes the head and head size ratio, the body and body size ratio, and the limbs and limb size ratio. Material mapping and skeletal binding are performed on the initial character model of the stakeholder to obtain the intermediate character model of the stakeholder. The material mapping is used to add material maps on the basis of the initial character model of the stakeholder. The material maps include textures corresponding to skin, clothing and facial features. The skeletal binding is used to bind the skeletal digital information of the stakeholder to the initial character model of the stakeholder. Based on the determined character actions corresponding to the scene where the target computer room is located, the intermediate character model of the stakeholder is subjected to action creation and rendering to obtain the three-dimensional character of the stakeholder; all the three-dimensional characters of the stakeholder are used to establish a standard character library.

4. The data center management and control method for the digitalization of the Metaverse as described in claim 1, characterized in that, After loading all associated data corresponding to the target management function into the target data center to respond to the target management requirement, the method further includes: Obtain the loading information of the target related data room for all the associated data and the response information in response to the target control requirements; Analyze the loading information and the response information to obtain the loading completion degree corresponding to the loading information and the response completion degree corresponding to the response information; When both the loading completion rate and the response completion rate reach their respective standard completion rates, it is determined that the target related computer room meets the preset operating requirements. When there is a target optimization item among the items to be tested that has not reached its corresponding standard completion level, optimization information for the target optimization item is generated according to the preset optimization procedure, and the target optimization item is adjusted through the optimization information so that all the items to be tested reach their respective standard completion levels. The items to be tested include the loading completion rate and the response completion rate.

5. A data center management and control device for the digitalization of the Metaverse, characterized in that, The device is used to perform the data center management method for the digitization of the Metaverse as described in any one of claims 1-4, and the device comprises: The acquisition module is used to acquire the data center data and stakeholder information corresponding to the target data center to be managed. The data center data and the stakeholder information are used to construct a digital space corresponding to the target data center. The construction module is used to perform panoramic construction of the target data center in a pre-constructed panoramic plane based on the data center data and the determined modeling requirements, so as to obtain a digital twin data center corresponding to the target data center; the panoramic construction of the data center includes at least one of the following: 3D construction of the data center, model verification and correction, and digital twin deployment operation. The relationship association processing module is used to perform relationship association processing on the stakeholder information and the digital twin data center in the panoramic view to obtain the target stakeholder data center corresponding to the digital twin data center. The relationship association processing includes at least one of stakeholder permission mapping, stakeholder role construction mapping, and data center-stakeholder panoramic composite rendering. The target data center is located in the panoramic view and is used to respond to various control requirements for the target data center. Each control requirement has a corresponding control mode, and each control mode corresponds to one or more control requirements. All control modes include live mode, pre-occupancy mode, and rehearsal mode.

6. A data center management and control device for the digitalization of the Metaverse, characterized in that, The device includes: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the data center management method for the digitalization of the Metaverse as described in any one of claims 1-4.

7. A computer storage medium, characterized in that, The computer storage medium stores computer instructions, which, when invoked, are used to execute the data center management method for the digitization of the Metaverse as described in any one of claims 1-4.

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