Twin system and method for Internet data center supervision

Abstract

The invention relates to the technical field of equipment supervision, and discloses a twin system and method for internet data center supervision, and the system comprises a twin module, a supervision module, an association module and a jump module. The method corresponds to the system. According to the application, the twin module is used for selecting the nodes to adjust the data volume of the Internet data center, so that the data quality is improved, and data support is provided for supervision. Physical and network comprehensive supervision is realized through the supervision module, supervision singleness is improved, supervision quality is improved through fusion supervision of a single node, a data basis is provided for association and jump, linkage of supervision content is realized through the association module, a necessary technical means is provided for jump, and the supervision efficiency is improved. And isolation of supervised contents is improved through the jump module. And finally, twin supervision for the Internet data center is realized.

Description

Technical Field

[0001] The present application relates to the technical field of equipment supervision, and specifically to a twin system and method for Internet data center supervision. Background Art

[0002] Internet data centers are important network infrastructures, and supervision is necessary. However, the inventors found the following problems in the existing technology during their research on Internet data center supervision:

[0003] 1. Single supervision: either the physical status of the supervision center is supervised from the hardware perspective, or the network status of the supervision center is supervised from the software perspective, resulting in single supervision;

[0004] 2. Data redundancy: Internet data centers have a large number of devices and corresponding networks, which generate a massive amount of data. Indiscriminate use during supervision leads to data redundancy.

[0005] 3. Isolation of content. The use of data analysis to divide devices one-to-one during supervision leads to the isolation of supervised content.

[0006] In recent years, the rapid development of digital twin technology has provided a feasible technical means for large-scale park supervision, but its application in Internet data center supervision still needs to be studied.

[0007] Chinese Patent No. CN202120827292.1 discloses a new type of infrastructure supervision system for a data center, which includes a data monitoring access device for the infrastructure, which establishes a loosely coupled connection with a data computing device; a data computing device, which establishes a loosely coupled connection with the monitoring device of the infrastructure and the management device of the infrastructure; a supervision display device, which establishes a loosely coupled connection with the monitoring device of the infrastructure and displays the monitoring status of the infrastructure; and the supervision display device, which establishes a loosely coupled connection with the management device of the infrastructure and displays the management and control results of the infrastructure. This application solves the problem of the lack of a supervision system that can be operated, monitored and managed in a unified manner. However, the invention only relies on a large number of loosely coupled connections to achieve supervision from a hardware perspective, and its applicability is poor.

[0008] In summary, the existing technology urgently needs a twin technical solution for Internet data center supervision. Summary of the invention

[0009] The purpose of this application is to provide a twin system and method for Internet data center supervision to solve the technical problems raised in the above background technology.

[0010] To achieve the above objectives, this application discloses the following technical solutions:

[0011] In a first aspect, the present application discloses a twin system for Internet data center supervision, the twin system comprising:

[0012] A twin module, wherein the twin module is configured to store a regulatory twin model that maps an Internet data center and corresponding nodes to a digital space using digital twin technology;

[0013] A supervision module, the supervision module is configured to perform physical supervision of the node to obtain a physical score and network supervision to obtain a network score;

[0014] an association module configured to capture the physical association and network association of the nodes;

[0015] A jump module, wherein the jump module is configured to: when a supervision anomaly occurs, perform physical jump and network jump of the supervised node by using the physical association and the network association;

[0016] The node stores a physical state and a network state for characterizing an Internet data center; the corresponding physical supervision is to supervise the physical state, the network supervision is to supervise the network state, the physical association is to associate the nodes using the physical state, and the network association is to associate the nodes using the network state;

[0017] The physical state is specifically first operating data of a device corresponding to the node; the network state is specifically second operating data of a network corresponding to the node;

[0018] Recording the physical score to obtain a physical score record; recording the network score to obtain a network score record;

[0019] The twin module is communicatively connected to the supervision module, the supervision module is communicatively connected to the association module, and the association module is communicatively connected to the jump module.

[0020] Preferably, the node setting process specifically includes the following steps:

[0021] A1: Use the regulatory twin model to obtain the historical physical status and historical network status of the Internet data center;

[0022] A2: Analyze the historical physical state and the network state to capture key locations;

[0023] A3: defining the key position captured in step A2 as the node and outputting it;

[0024] A4: Repeat steps A1 to A3 based on a preset node update cycle.

[0025] Preferably, the physical supervision process specifically includes the following steps:

[0026] B1: using the supervision twin model to obtain the physical state corresponding to the node;

[0027] B2: Calculate the physical score using the physical state, and supervise the corresponding node based on the physical score;

[0028] B3: When the physical score is less than a preset physical score threshold, it is determined that the supervision anomaly occurs.

[0029] Preferably, the physical association process specifically includes the following steps:

[0030] C1: Obtain the physical score record of the node;

[0031] C2: performing correlation analysis using the physical evaluation record of the node;

[0032] C3: Capturing the physical relationship between the nodes based on the result of the association analysis.

[0033] Preferably, the jump process of the physical jump specifically includes the following steps:

[0034] D1: when the node has the supervision anomaly, calling the physical association corresponding to the node;

[0035] D2: Using the physical association obtained in step D1, locate the corresponding node;

[0036] D3: Perform preset preventive supervision measures on the node obtained in step D2.

[0037] Preferably, the supervision process of the network supervision specifically includes the following steps:

[0038] E1: using the supervision twin model to obtain the network state corresponding to the node;

[0039] E2: Calculate the network score using the network status, and supervise the corresponding node based on the network score;

[0040] E3: When the network score is less than a preset network score threshold, it is determined that the supervision anomaly occurs.

[0041] Preferably, the association process of the network association specifically includes the following steps:

[0042] F1: Obtain the network score record of the node;

[0043] F2: performing correlation analysis using the network evaluation records of the nodes;

[0044] F3: Capturing the network associations among the nodes based on the results of the association analysis.

[0045] Preferably, the jump process of the network jump specifically includes the following steps:

[0046] G1: when the node has the supervision anomaly, calling the network association corresponding to the node;

[0047] G2: Using the network association obtained in step G1, locate the corresponding node;

[0048] G3: Perform preset preventive supervision measures on the node obtained in step G2.

[0049] Preferably, the fusion score of the node is calculated using the physical score, the network score, the physical score record and the network score record of the node, and the fusion score is used to perform fusion supervision on the node. When the fusion score is less than a preset fusion score threshold, it is determined that the supervision anomaly occurs, and preset preventive supervision measures are performed on the node.

[0050] In a second aspect, the present application discloses a method for Internet data center supervision, which is applicable to the twin system for Internet data center supervision as described above, and the method includes:

[0051] S1: Construct and store a regulatory twin model that maps Internet data centers and corresponding nodes to digital space using digital twin technology;

[0052] S2: Perform physical supervision and network supervision of the node;

[0053] S3: Capturing the physical association and network association of the nodes;

[0054] S4: when a supervision anomaly occurs, physical jump and network jump of the node supervised by using the physical association and the network association;

[0055] The node stores a physical state and a network state for characterizing an Internet data center; the corresponding physical supervision is to supervise the physical state, the network supervision is to supervise the network state, the physical association is to associate the nodes using the physical state, and the network association is to associate the nodes using the network state;

[0056] The physical state is specifically first operating data of a device corresponding to the node; and the network state is specifically second operating data of a network corresponding to the node.

[0057] Beneficial effects: The twin system and method for Internet data center supervision of the present application realizes the adjustment of the data volume of the Internet data center through the selection of nodes by the twin module, improves the quality of data, and provides data support for supervision. Through the supervision module, comprehensive physical and network supervision is realized, the single supervision is improved, and the quality of supervision is improved by the integrated supervision of a single node, and a data basis is provided for association and jump. The linkage of the supervision content is realized through the association module, and the necessary technical means are provided for jump. The isolation of the supervision content is improved through the jump module. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without paying any creative work.

[0059] Figure 1 A structural block diagram of a twin system for Internet data center supervision provided in an embodiment of the present application;

[0060] Figure 2 A flowchart of a method for Internet data center supervision provided in an embodiment of the present application. DETAILED DESCRIPTION

[0061] The technical solutions in the embodiments of the present application are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

[0062] In this article, the term "comprising" is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of more restrictions, the elements defined by the sentence "comprising..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0063] In a first aspect, this embodiment discloses Figure 1 A twin system for Internet data center supervision is shown, and the twin system includes:

[0064] The twin module is configured to store a supervision twin model that maps the Internet data center and the corresponding nodes to the digital space using the digital twin technology; it should be noted that the present embodiment uses the existing data twin technology to realize the twin modeling of the Internet data center to obtain the supervision twin model; therefore, the present embodiment analyzes the data obtained based on the supervision twin model to realize the supervision of the Internet data center;

[0065] A supervision module, the supervision module is configured to perform physical supervision of the node to obtain a physical score and network supervision to obtain a network score;

[0066] An association module, the association module is configured to capture the physical association and network association of nodes;

[0067] The jump module is configured to: when a supervision anomaly occurs, use physical association and network association to perform physical jump and network jump of the supervised node.

[0068] Node storage is used to characterize the physical state and network state of the Internet data center; the corresponding physical supervision is to supervise the physical state, the network supervision is to supervise the network state, the physical association is to associate the nodes using the physical state, and the network association is to associate the nodes using the network state.

[0069] The physical state is specifically the first operating data of the device corresponding to the node; the network state is specifically the second operating data of the network corresponding to the node. It should be noted that the first operating data of this embodiment is the data obtained by the common knowledge of those skilled in the art for characterizing the operating state of the hardware of the node of the Internet of Things Internet data center, which may include but is not limited to effective operating rate, energy consumption data, read and write rate, and memory usage rate, etc.; the second operating data of this embodiment is the data obtained by the common knowledge of those skilled in the art for characterizing the operating state of the network of the node of the Internet of Things Internet data center, which may include but is not limited to traffic data, delay, and packet loss rate, etc. And both the first operating data and the second operating data are normalized using existing data normalization technology, aiming to achieve data analysis during supervision.

[0070] Record the physics score to get the physics score record; record the network score to get the network score record.

[0071] The twin module is communicatively connected to the supervisory module, the supervisory module is communicatively connected to the association module, and the association module is communicatively connected to the jump module.

[0072] Based on the above, this embodiment uses the twin module to implement digital twin modeling of the Internet data center to obtain a regulatory twin model, which provides necessary technical support for supervision. In the modeling, it optimizes massive data by setting nodes, improves data redundancy, and provides an accurate data basis for supervision. It implements physical supervision and network supervision through the supervision module, improves the singleness of supervision, and provides a data basis for association. It integrates data through the association module, establishes physical and network associations between nodes, and improves content isolation. Furthermore, when a regulatory anomaly occurs, the jump module is used to implement early supervision of associated nodes, further improving content isolation and improving the quality of Internet data center supervision.

[0073] Specifically, the node setting process includes the following steps:

[0074] A1: Use the regulatory twin model to obtain the historical physical status and historical network status of Internet data centers;

[0075] A2: Analyze the historical physical state and network state to capture key positions; it should be noted that the key positions captured in this embodiment are obtained based on the common knowledge of those skilled in the art. For example, the key positions may include but are not limited to: in physical supervision, air conditioning equipment used to maintain a constant temperature in an Internet data center; in network supervision, gateway equipment used to control the network;

[0076] A3: Define the key positions captured in step A2 as nodes and output them;

[0077] A4: Repeat steps A1 to A3 based on a preset node update cycle. It should be noted that the node update cycle set in this embodiment is common knowledge to those skilled in the art, and in this regard, the timeliness of the node representation of the Internet data center is guaranteed, and the physical association and network association in the association module below are also recaptured based on the node update cycle here, thereby ensuring that the corresponding association is valid.

[0078] Based on the above, this embodiment obtains the corresponding nodes by capturing the key locations of Internet data center supervision, and uses the nodes to implement supervision, thereby ensuring that the problem of data redundancy is improved without affecting the quality of supervision, and providing more accurate data for physical supervision and network supervision.

[0079] Specifically, the physical supervision process includes the following steps:

[0080] B1: Use the supervisory twin model to obtain the physical state of the node;

[0081] B2: Calculate the physical score using the physical state, and supervise the corresponding node based on the physical score;

[0082] As a preferred method of this embodiment, the calculation formula for calculating the physical score in this embodiment is specifically:

[0083]

[0084] Among them, PS is the calculated physical score and corresponds to the node, RWS is the read and write rate, MUR is the memory usage rate, EOR is the effective operation rate, ECD is the actual energy consumption data, and ECD α The corresponding theoretical energy consumption data is known to those skilled in the art; in this regard, the present embodiment implements physical supervision using physical scores that integrate read and write rates, memory usage, effective operation rates, and actual energy consumption data;

[0085] B3: When the physical score is less than a preset physical score threshold, it is determined that a supervision anomaly occurs; it should be noted that the physical score threshold of this embodiment is set by those skilled in the art based on well-known experience.

[0086] Specifically, the physical association process includes the following steps:

[0087] C1: Get the physical score record of the node;

[0088] C2: Use the physical evaluation records of the nodes for correlation analysis;

[0089] As a preferred method of this embodiment, the correlation analysis of the physical state in this embodiment uses a physical correlation judgment formula to judge whether a physical correlation is established. The physical correlation judgment formula is specifically:

[0090]

[0091] Among them, PA is the physical association index, and the duration of [T1, T2] is the node update cycle preset in the previous text. It represents the integral of the derivative value of the physical score of the node numbered i with respect to time t within a node update cycle. It represents the integral of the derivative value of the physical score of the node numbered j with respect to time t within a node update cycle. represents the absolute value of the difference between the integral corresponding to node i and the integral corresponding to node j, τ1 is a preset physical association threshold and can be obtained by those skilled in the art based on known experience, Indicates when When PA=1, physical association can be established. If it is not true, PA=0 and physical association cannot be established;

[0092] C3: The results of correlation analysis capture the physical relationship between nodes.

[0093] Based on the above, this embodiment implements the determination of the physical association between nodes through the physical association determination formula, improves the problem of content isolation, and provides technical support for physical jump.

[0094] Specifically, the jump process of physical jump includes the following steps:

[0095] D1: When a node has a supervision anomaly, the physical association corresponding to the node is called; that is, the physical association between nodes with PA=1 exists;

[0096] D2: Using the physical association obtained in step D1, locate the corresponding node; that is, locate the node by the number of the corresponding node;

[0097] D3: Preset preventive supervision measures are performed on the nodes obtained in step D2; it is understandable that the preventive supervision measures of this embodiment are relevant advance supervision measures that can be known by technical personnel in this field based on supervision experience when no supervision anomalies occur.

[0098] Based on the above, this embodiment further improves the isolation of content through physical jump, and implements relevant advance supervision measures when no supervision anomalies occur, thereby improving the quality of physical supervision.

[0099] Specifically, the supervision process of network supervision includes the following steps:

[0100] E1: Use the supervisory twin model to obtain the network status corresponding to the node;

[0101] E2: Calculate the network score using the network status, and supervise the corresponding nodes based on the network score;

[0102] As a preferred method of this embodiment, the calculation formula for calculating the network score in this embodiment is specifically:

[0103]

[0104] Among them, NS is the calculated network score and corresponds to the node, FD is the actual traffic data, and FD β For the ability The corresponding theoretical flow data is known to those skilled in the art. is the absolute value of the difference, D is the delay, and PLR is the packet loss rate; therefore, this embodiment implements network supervision using network scoring that integrates actual traffic data, delay, and packet loss rate;

[0105] E3: When the network score is less than a preset network score threshold, it is determined that a supervision anomaly occurs; it should be noted that the network score threshold of this embodiment is set by those skilled in the art based on well-known experience.

[0106] Specifically, the association process of the network association includes the following steps:

[0107] F1: Get the network score record of the node;

[0108] F2: Use the network evaluation records of nodes for correlation analysis;

[0109] As a preferred method of this embodiment, the correlation analysis of the network status in this embodiment uses a network correlation determination formula to determine whether to establish a network correlation. The network correlation determination formula is specifically:

[0110]

[0111] Among them, NA is the network association index, and the duration of [T1, T2] is the node update cycle preset in the previous text. It represents the integral of the derivative value of the network score of the node numbered p with respect to time t within a node update cycle. It represents the integral of the derivative value of the network score of the node numbered q with respect to time t within a node update cycle. represents the absolute value of the difference between the integral corresponding to node p and the integral corresponding to node q, τ2 is a preset network association threshold and can be obtained by those skilled in the art based on known experience, Indicates when When NA=1, network association can be established. If it is not true, NA=0 and network association cannot be established;

[0112] F3: Capture the network relationships between nodes based on the results of correlation analysis.

[0113] Based on the above, this embodiment implements the determination of network associations between nodes through the network association determination formula, improves the problem of content isolation, and provides technical support for network jumps.

[0114] Specifically, the jump process of the network jump includes the following steps:

[0115] G1: When a node has a supervision anomaly, the network association corresponding to the node is called; that is, the network association between nodes with NA=1 exists;

[0116] G2: Using the network association obtained in step G1, locate the corresponding node; that is, locate the node by the number of the corresponding node;

[0117] G3: Preset preventive supervision measures are performed on the nodes obtained in step G2; it is understandable that the preventive supervision measures of this embodiment are relevant advance supervision measures that can be known by technical personnel in this field based on supervision experience when no supervision anomalies occur.

[0118] Based on the above, this embodiment further improves the isolation of content through network jump, and implements relevant advance supervision measures when no supervision anomalies occur, thereby improving the quality of network supervision.

[0119] Specifically, the fusion score of the node is calculated using the node's physical score, network score, physical score record and network score record, and the fusion score is used to perform fusion supervision on the node. When the fusion score is less than a preset fusion score threshold, it is determined that a supervision anomaly has occurred, and the threshold can be obtained by those skilled in the art based on known experience. Preset preventive supervision measures are taken for the node, and the preventive supervision measures are relevant advance supervision measures that can be known by those skilled in the art based on supervision experience when no supervision anomaly has occurred.

[0120] It should be noted that integrated supervision occurs at nodes that are subject to both physical and network supervision, and when both physical and network supervision have regulatory anomalies, integrated supervision is performed, and the preventive supervision measures triggered by integrated supervision target the nodes subject to integrated supervision.

[0121] As a preferred method of this embodiment, the fusion score in this embodiment is calculated using a fusion score formula, and the fusion score formula is specifically:

[0122]

[0123] Where: t represents the corresponding calculation time, t-1 represents the corresponding previous calculation time; FS t is the fusion score at calculation time t, PS t-1 The physical score at time t-1, PS t is the physical score at calculation time t, NS t-1 NS is the network score at time t-1. t is the network score at calculation time t, and | | is the absolute value symbol; in this regard, this embodiment realizes the integrated supervision of the node's fused physical score, network score, historical physical score and historical network score records, and improves the quality of supervision.

[0124] Based on the above, this embodiment improves the supervision quality of nodes through integrated supervision, thereby further improving the supervision quality of Internet data centers.

[0125] In a second aspect, this embodiment discloses Figure 2 A method for Internet data center supervision is shown, which is applicable to the twin system for Internet data center supervision as described above, and the method includes:

[0126] S1: Construct and store a regulatory twin model that maps Internet data centers and corresponding nodes to digital space using digital twin technology;

[0127] S2: Perform physical and network supervision of nodes;

[0128] S3: captures the physical and network associations of nodes;

[0129] S4: When a supervision anomaly occurs, physical and network associations are used to perform physical and network jumps of the supervised nodes.

[0130] Node storage is used to characterize the physical state and network state of the Internet data center; the corresponding physical supervision is to supervise the physical state, the network supervision is to supervise the network state, the physical association is to associate the nodes using the physical state, and the network association is to associate the nodes using the network state.

[0131] The physical state is specifically the first operating data of the device corresponding to the node; the network state is specifically the second operating data of the network corresponding to the node.

[0132] Record the physics score to get the physics score record; record the network score to get the network score record.

[0133] It should be noted that the method for Internet data center supervision in this embodiment corresponds to the twin system for Internet data center supervision in the previous article. Therefore, the content not specifically described in the method for Internet data center supervision in this embodiment may include but is not limited to functional definition, working principle and technical effects, which are the same as the twin system for Internet data center supervision in the previous article, and this text will not go into details here.

[0134] In summary, the twin system and method for Internet data center supervision of this embodiment selects nodes through the twin module to adjust the data volume of the Internet data center, improve the quality of data, and provide data support for supervision. Comprehensive supervision of the physical and network is achieved through the supervision module, the single supervision is improved, and the quality of supervision is improved by the integrated supervision of a single node, and a data basis is provided for association and jump. The linkage of the supervision content is achieved through the association module, and the necessary technical means are provided for jump. The isolation of the supervision content is improved through the jump module.

[0135] In the embodiments provided in the present application, it should be understood that the embodiments described herein can be implemented in hardware, software, firmware, middleware, code or any appropriate combination thereof. For hardware implementation, the processor can be implemented in one or more of the following units: application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing device (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), processor, controller, microcontroller, microprocessor, other electronic units designed to implement the functions described herein or their combination. For software implementation, part or all of the flow of the embodiment can be completed by instructing the relevant hardware through a computer program. When implemented, the above program can be stored in a computer-readable storage medium or transmitted as one or more instructions or codes on a computer-readable storage medium. Computer-readable storage media include computer storage media and communication media, wherein the communication medium includes any medium that is convenient for transmitting a computer program from one place to another. The storage medium can be any available medium that a computer can access. The computer-readable storage medium can include but is not limited to RAM, ROM, EEPROM, CD-ROM or other optical disk storage, disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer.

[0136] Finally, it should be noted that the above is only a preferred embodiment of the present application and is not intended to limit the present application. Although the present application has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A twin system for Internet data center supervision, characterized in that: The twin system includes: A twin module, wherein the twin module is configured to store a regulatory twin model that maps an Internet data center and corresponding nodes to a digital space using digital twin technology; A supervision module, the supervision module is configured to perform physical supervision of the node to obtain a physical score and network supervision to obtain a network score; an association module configured to capture the physical association and network association of the nodes; A jump module, wherein the jump module is configured to: when a supervision anomaly occurs, perform physical jump and network jump of the supervised node by using the physical association and the network association; The node stores a physical state and a network state for characterizing an Internet data center; the corresponding physical supervision is to supervise the physical state, the network supervision is to supervise the network state, the physical association is to associate the nodes using the physical state, and the network association is to associate the nodes using the network state; The physical state is specifically first operating data of a device corresponding to the node; the network state is specifically second operating data of a network corresponding to the node; Recording the physical score to obtain a physical score record; recording the network score to obtain a network score record; The twin module is communicatively connected to the supervision module, the supervision module is communicatively connected to the association module, and the association module is communicatively connected to the jump module.

2. The twin system for Internet data center supervision according to claim 1 is characterized in that: The node setting process specifically includes the following steps: A1: Use the regulatory twin model to obtain the historical physical status and historical network status of the Internet data center; A2: Analyze the historical physical state and the network state to capture key locations; A3: defining the key position captured in step A2 as the node and outputting it; A4: Repeat steps A1 to A3 based on a preset node update cycle.

3. The twin system for Internet data center supervision according to claim 1 is characterized in that: The physical supervision process specifically includes the following steps: B1: using the supervision twin model to obtain the physical state corresponding to the node; B2: Calculate the physical score using the physical state, and supervise the corresponding node based on the physical score; B3: When the physical score is less than a preset physical score threshold, it is determined that the supervision anomaly occurs.

4. The twin system for Internet data center supervision according to claim 3 is characterized in that: The physical association process specifically includes the following steps: C1: Obtain the physical score record of the node; C2: performing correlation analysis using the physical evaluation record of the node; C3: Capturing the physical relationship between the nodes based on the result of the association analysis.

5. The twin system for Internet data center supervision according to claim 4 is characterized in that: The jump process of the physical jump specifically includes the following steps: D1: when the node has the supervision anomaly, calling the physical association corresponding to the node; D2: Using the physical association obtained in step D1, locate the corresponding node; D3: Perform preset preventive supervision measures on the node obtained in step D2.

6. The twin system for Internet data center supervision according to claim 1 is characterized in that: The network supervision process specifically includes the following steps: E1: using the supervision twin model to obtain the network state corresponding to the node; E2: Calculate the network score using the network status, and supervise the corresponding node based on the network score; E3: When the network score is less than a preset network score threshold, it is determined that the supervision anomaly occurs.

7. The twin system for Internet data center supervision according to claim 6 is characterized in that: The association process of the network association specifically includes the following steps: F1: Obtain the network score record of the node; F2: performing correlation analysis using the network evaluation records of the nodes; F3: Capturing the network associations among the nodes based on the results of the association analysis.

8. The twin system for Internet data center supervision according to claim 7 is characterized in that: The jump process of the network jump specifically includes the following steps: G1: when the node has the supervision anomaly, calling the network association corresponding to the node; G2: Using the network association obtained in step G1, locate the corresponding node; G3: Perform preset preventive supervision measures on the node obtained in step G2.

9. The twin system for Internet data center supervision according to claim 1, characterized in that: The fusion score of the node is calculated using the physical score, the network score, the physical score record and the network score record of the node, and the fusion score is used to perform fusion supervision on the node. When the fusion score is less than a preset fusion score threshold, it is determined that the supervision anomaly occurs, and preset preventive supervision measures are performed on the node.

10. A method for Internet data center supervision, the method being applicable to the twin system for Internet data center supervision as claimed in claims 1-9, characterized in that: The method includes: S1: Construct and store a regulatory twin model that maps Internet data centers and corresponding nodes to digital space using digital twin technology; S2: Perform physical supervision and network supervision of the node; S3: Capturing the physical association and network association of the nodes; S4: when a supervision anomaly occurs, physical jump and network jump of the node supervised by using the physical association and the network association; The node stores a physical state and a network state for characterizing an Internet data center; the corresponding physical supervision is to supervise the physical state, the network supervision is to supervise the network state, the physical association is to associate the nodes using the physical state, and the network association is to associate the nodes using the network state; The physical state is specifically first operating data of a device corresponding to the node; and the network state is specifically second operating data of a network corresponding to the node.

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