Computing network data conversion method, device, server and electronic equipment

Abstract

The present invention provides a computing power network data conversion method, device, server and electronic device, the method comprising: connecting to a first object management domain, collecting target data of the first object management domain; parsing and matching the target data to obtain a first object minimum data set; performing standardized data mapping on the first object minimum data set to obtain second object association information; parsing and matching the second object association information to obtain a second object maximum data set; transferring the second object maximum data set to the second object management domain. The present invention ensures the stable operation of computing power network services by achieving compatible adaptation of data of different formats between the first object management domain and the second object management domain, realizes a reusable switching method, quickly and agilely realizes standardized management of real-time data, and then realizes secure data transmission between different management domains, improving the timeliness and effectiveness of data transmission.

Description

Technical Field

[0001] The present invention relates to the field of cloud computing technology, and in particular to a computing power network data conversion method, device, server and electronic equipment. Background Art

[0002] The computing power network integrates multiple elements such as computing power, network, artificial intelligence, big data, blockchain, etc. The computing power network has the ability to provide basic computing network support to customers. Therefore, the computing power network has very high requirements for the effectiveness, timeliness and trustworthiness of data transmission.

[0003] At present, there is no unified coordination and integrated support between the computing object management domain and the network object management domain, and no mutual compatibility and adaptation between different management domains. As a result, time delays will occur in the process of sharing data in different management domains, resulting in poor timeliness and effectiveness of data. In addition, when data is transmitted between different management domains, there is a lack of a two-way trusted mechanism, and data security cannot be achieved. Summary of the invention

[0004] The present invention provides a computing power network data conversion method, device, server and electronic equipment to achieve secure data transmission between different management domains and improve the timeliness and effectiveness of data transmission.

[0005] The present invention provides a computing power network data conversion method, comprising:

[0006] Connecting to a first object management domain and collecting target data of the first object management domain;

[0007] Parsing and matching the target data to obtain a first object minimum data set;

[0008] Performing standardized data mapping on the first object minimum data set to obtain second object association information;

[0009] Parsing and matching the second object association information to obtain a second object maximum data set;

[0010] The second object maximum data set is transferred to a second object management domain.

[0011] According to the computing power network data conversion method provided by the present invention, the target data is parsed and matched to obtain a first object minimum data set, including:

[0012] The target data is matched with resources, performance, alarm and log data to obtain the minimum data set of the first object.

[0013] According to the computing power network data conversion method provided by the present invention, the standardized data mapping of the first object minimum data set is performed to obtain the second object association information, including:

[0014] Based on a preset mapping table, performing standardized data mapping on the first object minimum data set to obtain the second object association information;

[0015] The mapping table is a mapping table provided with an editing function.

[0016] According to the computing power network data conversion method provided by the present invention, the second object association information is parsed and matched to obtain the second object maximum data set, including:

[0017] Resource matching, performance matching, alarm matching and log data matching are performed on the second object association information to obtain the maximum data set of the second object.

[0018] According to the computing power network data conversion method provided by the present invention, the first object management domain is a computing object management domain, and the second object management domain is a network object management domain; or,

[0019] The first object management domain is a network object management domain, and the second object management domain is a computer object management domain.

[0020] According to the computing power network data conversion method provided by the present invention, the docking with the first object management domain includes:

[0021] Based on a preset software development kit plug-in, the first object management domain is connected.

[0022] The present invention also provides a computing power network data conversion device, comprising:

[0023] A collection module, used for connecting to the first object management domain and collecting target data of the first object management domain;

[0024] A first matching module, used for parsing and matching the target data to obtain a first object minimum data set;

[0025] A mapping module, used for performing standardized data mapping on the first object minimum data set to obtain second object association information;

[0026] A second matching module, configured to parse and match the second object association information to obtain a second object maximum data set;

[0027] A transfer module is used to transfer the second object maximum data set to a second object management domain.

[0028] The present invention also provides a server, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, a computing power network data conversion method as described in any one of the above items is implemented.

[0029] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, a computing power network data conversion method as described above is implemented.

[0030] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the above-described computing power network data conversion methods.

[0031] The present invention also provides a computer program product, including a computer program, which, when executed by a processor, implements any of the above-mentioned computing power network data conversion methods.

[0032] The computing network data conversion method, device, server and electronic device provided by the present invention perform standardized data mapping on the collected target data of the first object management domain, obtain the second object association information, perform parsing and matching, obtain the second object maximum data set, and transfer the second object maximum data set to the second object management domain, so as to achieve the compatibility and adaptation of data of different formats between the first object management domain and the second object management domain, and ensure the stable operation of the computing network service. Compared with the method of realizing data sharing through the data sharing platform architecture model in the prior art, the present invention adopts a two-way standard adaptation model, which maximizes the reduction of R&D cost investment under the current status of network management and computing management silo management, realizes a reusable switching method, quickly and agilely realizes real-time data standardization management, and then realizes the secure transmission of data between different management domains, and improves the timeliness and effectiveness of data transmission. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0034] Figure 1 This is one of the flow charts of the computing power network data conversion method provided by the present invention;

[0035] Figure 2 This is the second flow chart of the computing power network data conversion method provided by the present invention;

[0036] Figure 3 This is the third flow chart of the computing power network data conversion method provided by the present invention;

[0037] Figure 4 This is the fourth flow chart of the computing power network data conversion method provided by the present invention;

[0038] Figure 5 It is a structural schematic diagram of the computing power network data conversion device provided by the present invention;

[0039] Figure 6 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0040] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] Combine the following Figure 1-Figure 6 The computing power network data conversion method, device, server and electronic device of the present invention are described.

[0042] like Figure 1 As shown, the present invention provides a computing power network data conversion method, comprising:

[0043] Step 110: Connect to the first object management domain and collect target data of the first object management domain.

[0044] It can be understood that the computing power network data conversion method provided by the present invention can be executed by a server.

[0045] The target data of the first object management domain may be the resources, performance, alarms, and configuration data of platform software objects related to the Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) layers. The first object management domain may be a computing object management domain, which can be connected to different open source software or customized software such as PIM, OpenStack, K8S, K3S, and Singularity according to different user scenarios. The interface method adopts OpenAPI interface, socket, agent, telnet, snmp, IPMI and other technical protocols.

[0046] Step 120: parse and match the target data to obtain a first object minimum data set.

[0047] It can be understood that the first object management domain may be a computing object management domain, and templated parsing and matching is performed on the data collected from the computing object management domain, and the parsing and matching includes resource, performance, alarm, and log data processing.

[0048] It should be noted that the data set of the first object corresponds to an allowed field range, wherein the data set of the minimum field is also the minimum data set of the first object.

[0049] Step 130: Perform standardized data mapping on the first object minimum data set to obtain second object association information.

[0050] It is understandable that the system performs standardized transformation on the content of the first object minimum data set according to the key fields and mapping information of the dictionary table information, or uses a mathematical formula to perform standardized data mapping.

[0051] Standardize data mapping, centrally manage the conversion rules from computing to network and from network to computing, and update them in a unified manner. Through gradual knowledge accumulation, a programmable knowledge base will be formed, which will subsequently support open sharing.

[0052] Step 140: parse and match the second object association information to obtain a second object maximum data set.

[0053] It can be understood that the second object association information may be a network object, and the network object parsing and matching is to perform templated parsing and matching on the data collected by the network object management domain to obtain the second object maximum data set.

[0054] It should be noted that the data set of the second object corresponds to an allowed field range, wherein the data set of the largest field is also the largest data set of the second object.

[0055] Step 150: Transfer the second object maximum data set to the second object management domain.

[0056] It can be understood that the second object maximum data set is transferred to the second object management domain in an interface opening manner.

[0057] For example, it connects to the network object management domain and collects and adapts the data related to operation and maintenance management, quality management, fault management, resource management, and business orchestration management systems. The network management domain is quite different from the computing management domain, and is mainly divided by functional domains. Therefore, the adaptation capability of this module is mainly to connect to the business data generated by different domains, such as the work order process data generated by the business orchestration module and the alarm data generated by the fault management module.

[0058] In some embodiments, parsing and matching the target data to obtain a first object minimum data set includes:

[0059] The target data is matched with resources, performance, alarm and log data to obtain the minimum data set of the first object.

[0060] It can be understood that resource matching can be calculated as resource matching, performance matching can be calculated as performance matching, alarm matching can be calculated as alarm matching, and log data matching can be calculated as log data matching.

[0061] Computing resource matching of target data includes computing resource modeling, computing resource data instantiation, and computing resource data quality management. Objects include Manager, Region, AZ, HA, Backend, Host, HostFileSystem, HostPort, HostBondPort, VM, BM, VirtualNet, and Project. Computing performance matching includes computing performance batch processing, computing performance quality update, and computing performance configuration update. Computing alarm matching includes computing message parsing, computing content extraction, and computing real-time message notification. Computing log data matching includes computing log file downloading, computing log content extraction, and computing log context retrieval. For the data that has been parsed and matched, the system synchronizes the data to other modules through real-time message queues, databases, or file transfer protocol (FTP) file directories.

[0062] In some embodiments, performing standardized data mapping on the first object minimum data set to obtain second object association information includes:

[0063] Based on a preset mapping table, performing standardized data mapping on the first object minimum data set to obtain the second object association information;

[0064] The mapping table is a mapping table provided with an editing function.

[0065] It can be understood that the function of standardized data mapping builds mapping table information with key fields as indexes. Maintenance personnel can actively maintain this mapping table information and the dictionary table with mapping relationship with the mapping table, and support the addition, deletion, modification, batch entry, etc. of mapping information. When the calculation object parsing and matching function is realized, the result data is mapped through the real-time message queue, and the calculation object content is standardized and transformed according to the key fields and mapping information of the dictionary table information.

[0066] In some embodiments, parsing and matching the second object association information to obtain the second object maximum data set includes:

[0067] Resource matching, performance matching, alarm matching and log data matching are performed on the second object association information to obtain the maximum data set of the second object.

[0068] It can be understood that the resource matching in this embodiment can be network resource matching, the performance matching can be network performance matching, the alarm matching can be network alarm matching, and the log data matching can be network log data matching.

[0069] Parsing and matching include resource, performance, alarm, and log data processing. Network resource matching includes network resource modeling, network resource data instantiation, and network resource data quality management. Objects include resource identifiers, network element names, weekly cycle status, computer rooms, racks, equipment manufacturers, equipment categories, equipment models, equipment levels, software versions, etc.; network performance matching includes network performance batch processing, network performance quality updates, and network performance configuration updates; network alarm matching includes network message parsing, network content extraction, and network real-time message notifications. The mapping content includes professional, equipment type, alarm object type, manufacturer alarm identifier, alarm title, and other field information; network log data matching includes network log file download, network log content extraction, and network log context retrieval. For the data that has been parsed and matched, the system synchronizes the data to other modules through real-time message queues, databases, or file transfer protocol file directories.

[0070] In some embodiments, the first object management domain is a computing object management domain, and the second object management domain is a network object management domain; or

[0071] The first object management domain is a network object management domain, and the second object management domain is a computer object management domain.

[0072] It can be understood that the first object is a computing object and the second object is a network object; or the first object is a network object and the second object is a computing object.

[0073] The network object management domain is the object management domain related to network communication resources in the computing network business scenario, such as the object management domain related to network communication protocols and network communication equipment. The computing object management domain is the object management domain related to hardware devices, physical machines, and virtual machines in the computing network business scenario.

[0074] In some embodiments, the docking with the first object management domain includes:

[0075] Based on a preset software development kit plug-in (SDK, Software Development Kit), the first object management domain is connected.

[0076] It is understandable that the functionality can be extended and supplemented by means of software development kit plug-ins, and an adaptation version number can be carried to match different computing object management domains.

[0077] In other embodiments, the computing power network data conversion method is as follows: Figure 2 As shown, it includes eastward adaptation and opening, network object parsing and matching, standardized data mapping, computing object parsing and matching, and westward adaptation and opening.

[0078] Among them, the eastward adaptation is open and used to connect to the network object management domain system. In the form of a software development kit plug-in, it collects and opens related orchestration data, fault data, resource data, performance data, log data, etc.

[0079] The network object parsing and matching mainly parses the downlink input data into the minimum level of the network object, and parses the uplink input data into the maximum level of the network object.

[0080] Standardized data mapping is used for key dictionary information management and standardized mapping table data content management.

[0081] The calculation object parsing and matching mainly parses the downlink input data into the maximum level of the calculation object, and parses the uplink input data into the minimum level of the calculation object.

[0082] Westward adaptation and opening is used to connect to the computing object management domain system, and collect and open related computing resource data, physical operation data and other content in the form of software development kit plug-ins.

[0083] It is adaptable and open to the east. When it comes to network object management domain systems, it has both collection and adaptation capabilities and open sharing capabilities.

[0084] It is adaptable and open to the west. When it comes to computing object management domain systems, it has both collection and adaptation capabilities and open sharing capabilities.

[0085] Among them, the eastward adaptation and opening modules and the westward adaptation and opening modules both adopt the software development toolkit plug-in method. According to the specific situation of the data provider, they are gradually expanded with the version number to form standardized and reusable modules, which reduces the cost of re-development of software projects and improves the efficiency of customer operation and maintenance management. It takes 3 days to develop and collect the adaptation plug-in each time. When there are more than 30 different plug-ins in the computing object management domain and the network object management domain, and the industry's 80% reuse rate is used, the cumulative development workload is 72 days.

[0086] Standardized data mapping has the ability to maintain and manage key dictionary table information and mapping data. Users can synchronously update mapping rule knowledge based on the maintenance experience of computing and networks to improve data conversion efficiency and data quality.

[0087] The acquisition adaptation capability is an extensible software development kit plug-in method that implements horizontally manageable plug-ins based on different system versions of the network object manufacturers.

[0088] In other embodiments, the computing power network data conversion method is as follows: Figure 3 As shown, including:

[0089] Step 310: Eastward adaptation and opening, connecting to the network object management domain to collect data such as resources, faults, performance, operation and maintenance, and services;

[0090] Step 320: parsing and matching network objects, performing template parsing on the collected data to form a minimum data set of network objects;

[0091] Step 330: standardize data mapping, and map it into the associated information of the calculation object using a dictionary table or a mathematical formula according to the calculation object requirements;

[0092] Step 340: parse and match the calculation object, perform template parsing on the calculation object association information, and generate the maximum data set of the calculation object;

[0093] Step 350: westward matching is open, and the content of the maximum data set of the calculation object is transferred to the calculation object management domain by means of an open interface.

[0094] In other embodiments, the computing power network data conversion method is as follows: Figure 4 As shown, including:

[0095] Step 410: Adapt and open to the west, and connect the IaaS, PaaS, and SaaS data information collected from the computing object management domain;

[0096] Step 420: parse and match the calculation object, perform template parsing on the collected data to form a minimum data set for the calculation object;

[0097] Step 430: standardize data mapping, according to cloud object requirements, using a dictionary table or mathematical formula to map to cloud object related information;

[0098] Step 440: parsing and matching the network objects, performing template parsing on the network object association information, and generating the maximum data set of the network objects;

[0099] Step 450: Eastward matching is open, and the network object maximum data set content is transferred to the network object management domain by means of an open interface.

[0100] To summarize, the computing power network data conversion method provided by the present invention includes: connecting to the first object management domain and collecting target data of the first object management domain; parsing and matching the target data to obtain the first object minimum data set; performing standardized data mapping on the first object minimum data set to obtain second object association information; parsing and matching the second object association information to obtain the second object maximum data set; and transferring the second object maximum data set to the second object management domain.

[0101] In the computing network data conversion method provided by the present invention, after obtaining the second object association information by performing standardized data mapping on the collected target data of the first object management domain, parsing and matching are performed to obtain the second object maximum data set, and the second object maximum data set is transferred to the second object management domain, so as to achieve the compatibility and adaptation of data of different formats between the first object management domain and the second object management domain, and ensure the stable operation of the computing network service. Compared with the method of realizing data sharing through the data sharing platform architecture model in the prior art, the present invention adopts a two-way standard adaptation model, which can maximize the reduction of R&D cost investment under the current status of network management and computing management silo management, realize a reusable switching method, quickly and agilely realize real-time data standardization management, and then realize the secure transmission of data between different management domains, and improve the timeliness and effectiveness of data transmission.

[0102] The computing power network data conversion device provided by the present invention is described below. The computing power network data conversion device described below and the computing power network data conversion method described above can be referenced to each other.

[0103] like Figure 5 As shown, the present invention also provides a computing power network data conversion device 500, comprising:

[0104] A collection module 510, configured to connect to a first object management domain and collect target data of the first object management domain;

[0105] A first matching module 520, configured to parse and match the target data to obtain a first object minimum data set;

[0106] A mapping module 530, configured to perform standardized data mapping on the first object minimum data set to obtain second object association information;

[0107] A second matching module 540 is used to parse and match the second object association information to obtain a second object maximum data set;

[0108] The transfer module 550 is configured to transfer the second object maximum data set to a second object management domain.

[0109] The present invention also provides a server, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, a computing power network data conversion method as described in any one of the above items is implemented.

[0110] The electronic device, computer program product and storage medium provided by the present invention are described below. The electronic device, computer program product and storage medium described below can be referenced to each other with the computing power network data conversion method described above.

[0111] Figure 6 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 6 As shown, the electronic device may include: a processor 610, a communication interface 620, a memory 630 and a communication bus 640, wherein the processor 610, the communication interface 620 and the memory 630 communicate with each other through the communication bus 640. The processor 610 may call the logic instructions in the memory 630 to execute the computing power network data conversion method, which includes:

[0112] Connecting to a first object management domain and collecting target data of the first object management domain;

[0113] Parsing and matching the target data to obtain a first object minimum data set;

[0114] Performing standardized data mapping on the first object minimum data set to obtain second object association information;

[0115] Parsing and matching the second object association information to obtain a second object maximum data set;

[0116] The second object maximum data set is transferred to a second object management domain.

[0117] In addition, the logic instructions in the above-mentioned memory 630 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0118] On the other hand, the present invention further provides a computer program product, the computer program product includes a computer program, the computer program can be stored on a non-transitory computer-readable storage medium, and when the computer program is executed by a processor, the computer can execute the computing power network data conversion method provided by the above methods, the method comprising:

[0119] Connecting to a first object management domain and collecting target data of the first object management domain;

[0120] Parsing and matching the target data to obtain a first object minimum data set;

[0121] Performing standardized data mapping on the first object minimum data set to obtain second object association information;

[0122] Parsing and matching the second object association information to obtain a second object maximum data set;

[0123] The second object maximum data set is transferred to a second object management domain.

[0124] In another aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which is implemented when the computer program is executed by a processor to perform the computing power network data conversion method provided by the above methods, the method comprising:

[0125] Connecting to a first object management domain and collecting target data of the first object management domain;

[0126] Parsing and matching the target data to obtain a first object minimum data set;

[0127] Performing standardized data mapping on the first object minimum data set to obtain second object association information;

[0128] Parsing and matching the second object association information to obtain a second object maximum data set;

[0129] The second object maximum data set is transferred to a second object management domain.

[0130] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0131] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0132] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A computing power network data conversion method, characterized in that: include: Connecting to the first object management domain, collecting target data of the first object management domain; the target data includes object resources, performance, alarms and configuration data of the infrastructure as a service layer, platform as a service layer or software as a service layer; Parsing and matching the target data to obtain a first object minimum data set; Performing standardized data mapping on the first object minimum data set to obtain second object association information; Parsing and matching the second object association information to obtain a second object maximum data set; transferring the second object maximum data set to a second object management domain; The first object management domain is a computing object management domain, and the second object management domain is a network object management domain; or, The first object management domain is a network object management domain, and the second object management domain is a computer object management domain.

2. The computing power network data conversion method according to claim 1 is characterized in that: The step of parsing and matching the target data to obtain a first object minimum data set includes: The target data is matched with resources, performance, alarm and log data to obtain the minimum data set of the first object.

3. The computing power network data conversion method according to claim 1 is characterized in that: The performing standardized data mapping on the first object minimum data set to obtain second object association information includes: Based on a preset mapping table, performing standardized data mapping on the first object minimum data set to obtain the second object association information; The mapping table is a mapping table provided with an editing function.

4. The computing power network data conversion method according to claim 1 is characterized in that: The parsing and matching of the second object association information to obtain the second object maximum data set includes: Resource matching, performance matching, alarm matching and log data matching are performed on the second object association information to obtain the maximum data set of the second object.

5. The computing power network data conversion method according to any one of claims 1 to 4, characterized in that: The connecting to the first object management domain includes: Based on a preset software development kit plug-in, the first object management domain is connected.

6. A computing power network data conversion device, characterized in that: include: A collection module, used for connecting to the first object management domain and collecting target data of the first object management domain; The target data includes object resources, performance, alarms and configuration data adapted to the infrastructure as a service layer or the platform as a service layer or the software as a service layer; A first matching module, used for parsing and matching the target data to obtain a first object minimum data set; A mapping module, used for performing standardized data mapping on the first object minimum data set to obtain second object association information; A second matching module, configured to parse and match the second object association information to obtain a second object maximum data set; A transfer module, used for transferring the second object maximum data set to a second object management domain; The first object management domain is a computing object management domain, and the second object management domain is a network object management domain; or, The first object management domain is a network object management domain, and the second object management domain is a computing object management domain.

7. A server comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the computing power network data conversion method as described in any one of claims 1 to 5 is implemented.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the computing power network data conversion method as described in any one of claims 1 to 5 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, it implements the computing power network data conversion method as claimed in any one of claims 1 to 5.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, it implements the computing power network data conversion method as claimed in any one of claims 1 to 5.

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