Calculation network energy integration system and method

Abstract

The invention relates to the technical field of computers, in particular to a computing network energy integration system and method. The system comprises a basic support layer, a data layer, a service layer, an application layer, a display layer, an information security protection system and an operation and maintenance management support system, the basic support layer, the data layer, the service layer, the application layer, the display layer, the information security protection system and the operation and maintenance management support system are in communication connection in sequence, and the basic support layer is used for supporting data. The data layer is used for data storage, the service layer is used for algorithm service and general business service, the application layer is used for realizing a general business function, the display layer is used for data display, the information security protection system is used for information security protection, and the operation and maintenance management support system is used for daily operation and maintenance and fault processing. By applying the system, the technical problem of how to enable the computing network to realize collaborative operation can be solved.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to a computing, network and energy integration system and method. Background Art

[0002] In terms of computing power network measurement and modeling: The "Computing Power Network Frontier Report (2020)" released by China Unicom pointed out that unified measurement and modeling are the basis for computing power network resource scheduling. Duan Xiaodong and others proposed that a unified measurement system should be established for computing power networks in order to standardize the description of heterogeneous computing resources. China Mobile emphasized the necessity of establishing a unified computing power measurement system to achieve efficient resource scheduling. At present, some studies have explored the measurement and modeling schemes of computing power networks, including the establishment of Huawei's computing power measurement indicator system, the computing power resource pool measurement model of China Unicom Research Institute, Wu Meixi's "Computing Power Five Forces Model" for data center computing power evaluation, and Li Yinan, Li Jianfei and others' exploration of computing power network measurement and modeling schemes and normalized modeling of computing power resources.

[0003] In terms of IT equipment load characteristics: a large number of studies have been summarized, including additive models, dynamic models, regression models, power exponential models, and multi-term models. The power of the data center's cooling system mainly depends on the cooling strategy it adopts, weather conditions, and the power consumed by IT equipment.

[0004] The load of data centers is not completely matched with the output of renewable energy: one is to integrate renewable energy through interactive spatial migration of workloads, and to transfer loads between data centers in different regions. Yu et al. proposed an online algorithm for migrating workloads between multiple data centers to track renewable energy output in real time in a microgrid environment. Guo et al. designed an algorithm based on stochastic optimization theory for geographically dispersed data centers to promote renewable energy integration through online workload migration and thermal storage devices. Kwon et al. developed a decision framework for multiple data centers to jointly optimize the migration of IT user workloads, renewable energy consumption, and energy storage equipment operation. Based on reinforcement learning and neural network theory, Xu et al. proposed an online workload migration algorithm for tracking renewable energy in data centers. Another type of research attempts to match renewable energy through the scheduling and allocation of batch loads. The allocation of batch processing aims to decompose the load into tasks, and the decomposed tasks are processed in an orderly manner within a given time window to achieve the purpose of load transfer in time. Ding et al. considered the uncertainty of renewable energy supply, power demand, and thermal demand, and designed a batch load scheduling model to support renewable energy consumption. Based on the model in the literature, a scheduling model for workload uncertainty was designed based on the conditional risk value theory to match the output of renewable energy. Wang et al. proposed a stochastic optimization algorithm to absorb wind power through day-ahead batch load scheduling and real-time power balancing.

[0005] The load of existing data centers is not completely matched with the output of renewable energy. The migration of interactive workloads is heavily dependent on the network, and the bandwidth cost is relatively high. The results of batch processing methods do not consider how to adjust the QoS of workloads and improve the flexibility of workload scheduling.

[0006] In the next few years, the scale of my country's computing power will show a rapid growth trend, the energy consumption of data centers will increase rapidly, and computing power and electricity are forming a new trend of mutual support and coordinated development. Under the background of green and low-carbon development, it is an important way to achieve green computing power to coordinate the coordinated development of computing power and electricity, improve the matching degree between computing power demand and energy supply, and reduce overall energy consumption and costs.

[0007] Based on this, there is an urgent need for an integrated computing network system to solve the technical problem of how to enable the computing network to achieve coordinated operation. Summary of the invention

[0008] In order to solve the technical problem of how to achieve coordinated operation of computing networks, a computing network energy integration system is provided.

[0009] In a first aspect, an embodiment of the present invention provides a computing network energy integration system, which includes a basic support layer, a data layer, a service layer, an application layer, a display layer, an information security protection system, and an operation and maintenance management support system;

[0010] The basic support layer, the data layer, the service layer, the application layer, the display layer, the information security protection system and the operation and maintenance management support system are sequentially connected in communication;

[0011] The basic support layer is used for supporting data;

[0012] The data layer is used for data storage;

[0013] The service layer is used for algorithm services and general business services;

[0014] The application layer is used to implement general business functions;

[0015] The presentation layer is used for data presentation;

[0016] The information security protection system is used for information security protection;

[0017] The operation and maintenance management support system is used for daily operation and maintenance and troubleshooting.

[0018] In a second aspect, an embodiment of the present invention further provides a computing, network and energy integration method, including:

[0019] The computing network energy integrated system is used to perform computing and obtain computing results.

[0020] In a third aspect, an embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the method described in any embodiment of the present invention is implemented.

[0021] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed in a computer, enables the computer to execute the method described in any embodiment of the present invention.

[0022] The embodiment of the present invention provides a computing network energy integration system and method. The system of the present invention includes a basic support layer, a data layer, a service layer, an application layer, a display layer, an information security protection system and an operation and maintenance management support system. The basic support layer, the data layer, the service layer, the application layer, the display layer, the information security protection system and the operation and maintenance management support system are sequentially connected in communication. The basic support layer is used for data support, the data layer is used for data storage, the service layer is used for algorithm services and general business services, the application layer is used to implement general business functions, the display layer is used for data display, the information security protection system is used for information security protection, and the operation and maintenance management support system is used for daily operation and maintenance and fault handling. The application of the above system can solve the technical problem of how to make the computing network realize collaborative operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the embodiments of the present invention 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 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.

[0024] Figure 1 This is a structural diagram of a computing, network and energy integration system provided by an embodiment of the present invention;

[0025] Figure 2 is a hardware architecture diagram of an electronic device provided by an embodiment of the present invention;

[0026] Figure 3 This is a flow chart of a computing network energy integration method provided by an embodiment of the present invention;

[0027] Figure 4 This is a structural diagram of a computing, network and energy integration system provided by an embodiment of the present invention;

[0028] Figure 5 is a schematic diagram of a planning service architecture provided by an embodiment of the present invention;

[0029] Figure 6 It is a schematic diagram of a running service architecture provided by an embodiment of the present invention;

[0030] Figure 7 It is an overall business process diagram of attribute configuration and basic data provided by an embodiment of the present invention;

[0031] Figure 8 It is a project and topology creation overall business process diagram provided by an embodiment of the present invention;

[0032] Fig. 9 It is a planning management overall business process diagram provided by an embodiment of the present invention;

[0033] Fig.10 is a flow chart of a planning scheme provided by an embodiment of the present invention;

[0034] Fig.11 is a schematic diagram of a platform function provided by an embodiment of the present invention;

[0035] Fig.12 is a schematic diagram of a login module interface provided by an embodiment of the present invention;

[0036] Fig.13 is a schematic diagram of an attribute management interface provided by an embodiment of the present invention;

[0037] Fig.14 is a schematic diagram of a basic data module interface provided by an embodiment of the present invention;

[0038] Fig.15 is a schematic diagram of a project management module interface provided by an embodiment of the present invention;

[0039] Fig.16 It is a topology management module view provided by an embodiment of the present invention;

[0040] Fig.17 is a schematic diagram of a topology management module interface provided by an embodiment of the present invention;

[0041] Fig.18 is a schematic diagram of a topology management module interface provided by an embodiment of the present invention;

[0042] Fig.19 is a schematic diagram of a topology management module interface provided by an embodiment of the present invention;

[0043] Fig. 20 is a schematic diagram of a planning management module interface provided by an embodiment of the present invention;

[0044] Fig.21 It is a schematic diagram of an operation management module interface provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0046] Please refer to Figure 1The embodiment of the present invention provides a computing network energy integration system, the system includes a basic support layer 100, a data layer 102, a service layer 104, an application layer 106, a display layer 108, an information security protection system 110 and an operation and maintenance management support system 112;

[0047] The basic support layer, data layer, service layer, application layer, display layer, information security protection system and operation and maintenance management support system are connected in sequence;

[0048] The basic support layer is used to support data;

[0049] The data layer is used for data storage;

[0050] The service layer is used for algorithm services and general business services;

[0051] The application layer is used to implement general business functions;

[0052] The presentation layer is used for data display;

[0053] Information security protection system is used for information security protection;

[0054] The operation and maintenance management support system is used for daily operation and maintenance and troubleshooting.

[0055] In an embodiment of the present invention, the system of the present invention includes a basic support layer, a data layer, a service layer, an application layer, a display layer, an information security protection system and an operation and maintenance management support system. The basic support layer, the data layer, the service layer, the application layer, the display layer, the information security protection system and the operation and maintenance management support system are sequentially connected in communication. The basic support layer is used for data support, the data layer is used for data storage, the service layer is used for algorithm services and general business services, the application layer is used to implement general business functions, the display layer is used for data display, the information security protection system is used for information security protection, and the operation and maintenance management support system is used for daily operation and maintenance and fault handling. The present invention can solve the technical problem of how to enable the computing network to achieve collaborative operation by applying the above system.

[0056] In one embodiment of the present invention, the basic support layer includes a fusion platform and a cloud platform.

[0057] like Figure 4 As shown, in the embodiment of the present invention, the fusion platform: as the core of the development and testing environment, the fusion platform integrates the necessary development tools and testing resources, and provides developers with a test site that simulates the production environment to ensure that the application functions are fully verified before formal deployment. Cloud platform: as the cornerstone of final deployment and delivery, the cloud platform provides high-availability, scalability and security infrastructure services. It supports rapid deployment of applications, dynamic resource adjustment and high-availability assurance, ensuring stable operation of services in the cloud.

[0058] In one embodiment of the present invention, the data layer includes a business database, a third-party database, and a distributed file system;

[0059] The business database is used to store equipment attribute data, basic data, project data, topology data, solution data, and optimization result data;

[0060] Third-party databases are used to store weather and environmental data;

[0061] A distributed file system is used to store templates and thumbnails.

[0062] like Figure 4 As shown, in the embodiment of the present invention, the business database: stores core data directly related to the business, including but not limited to equipment attribute data, basic data, project data, topology data, solution data, optimization result data, etc. These data are the basis of business logic processing and data analysis. Distributed file system: used to store unstructured data, such as template files, thumbnail files, calculation results (such as Word), etc. The distributed architecture ensures the high availability and scalability of data and meets the needs of large-scale data storage and access. Third-party database: reserves interfaces for external data sources to facilitate later docking with weather data, environmental data, etc., provides rich external information support for the platform, and enhances data analysis and decision-making capabilities.

[0063] In one embodiment of the present invention, the service layer is used for algorithm services and general business services, including:

[0064] Algorithm services include economic benefit optimization, SVD singular value decomposition, carbon emission optimization, PCA dimensionality reduction, and NASG2 multi-objective optimization;

[0065] General business services include file access, solution generation, data access, permission control, Excel analysis and third-party docking.

[0066] like Figure 4 As shown, in the embodiment of the present invention, general business services: provide a series of basic services, including file access, data access, Excel parsing, solution generation, task queue management, algorithm call control, authority control, and third-party system docking. These services provide strong support for upper-level applications and simplify the implementation of business logic. Algorithm services: focus on advanced data processing and algorithm calculations, including economic benefit optimization, carbon emission optimization, energy consumption optimization, PCA dimensionality reduction, SVD singular value decomposition, NASG2 multi-objective optimization and other algorithms. These algorithm services provide the platform with powerful data processing and computing capabilities, support the coupling interaction of computing power and energy on the demand side and the supply side, and ultimately realize the integrated collaborative simulation optimization analysis of computing network and energy.

[0067] In one embodiment of the present invention, the general business functions include single sign-on, planning management, user organization, planning schemes, authority management and operation management.

[0068] In one embodiment of the present invention, general business functions include basic data maintenance, operation plan, project management, optimization calculation, topology construction and simulation result output.

[0069] like Figure 4 As shown, in the embodiment of the present invention, the general business functions: realize the business functions of direct user interaction, such as single sign-on, user organization management, authority management, basic data maintenance, project management, topology construction, planning management, planning scheme formulation, operation management, operation scheme formulation, optimization calculation and simulation result output, etc. These functions cover the entire life cycle of the business, and realize the integrated collaborative simulation optimization analysis of computing network through the mutual combination of business function points.

[0070] In one embodiment of the present invention, the presentation layer includes a PC terminal;

[0071] The PC side is used to display business functions and data visualization results.

[0072] In the embodiment of the present invention, the PC terminal: as the main user interaction interface, the PC terminal displays various business functions and data visualization results of the platform. Users can perform business operations, data query and result analysis through the PC terminal.

[0073] like Figure 4 As shown, in the embodiment of the present invention, the information security protection system runs through the information security protection system of the entire architecture, ensuring the security of data during transmission, storage and processing. The system includes multiple security measures such as data encryption, access control, security auditing, intrusion detection, etc., which effectively prevent potential security threats. Standard specifications and system management: Formulate and follow a series of standard specifications and system management to ensure the standardization and consistency of platform construction and operation and maintenance. These specifications and systems cover multiple aspects such as data standards, interface specifications, and operation and maintenance processes, providing a strong guarantee for the long-term stable operation of the platform. Operation and maintenance management support system: The operation and maintenance management support system is responsible for the daily operation and maintenance and troubleshooting of the platform. The system includes multiple aspects such as monitoring and early warning, troubleshooting, and performance optimization to ensure that the platform can provide services continuously and stably.

[0074] like Figure 5As shown, in the embodiment of the present invention, in the computing-network-energy integrated planning business process, mainly at the beginning of the construction of the data center and the supporting energy, the corresponding computing power-energy consumption resource situation is fitted according to the task scenarios that the data center needs to carry out, and then combined with the local wind and solar power resources and costs, multi-objective optimization of economy and environmental protection is performed on the computing power side and the energy side respectively, and then the optimal energy and data center joint planning and construction plan for computing-network-energy integration is converged through iteration.

[0075] like Figure 6 As shown, in the embodiment of the present invention, in the computing-network-energy integration planning business process, it is mainly to fit the corresponding computing power-energy consumption resource situation based on the number of user requests for task scenarios that the data center needs to carry, while clarifying the supporting computing-network-energy construction, and then combine the local wind and photovoltaic resource scheduling reserves to perform multi-objective optimization of economy and environmental protection on the computing power side and the energy side respectively, and then converge through iteration to obtain the optimal computing power task operation scheduling plan for computing-network-energy integration.

[0076] like Figure 7 As shown, in the embodiment of the present invention, the device attribute configuration and basic data functions uniformly define the field standards of energy and computing network topology components, which not only provides data support for these components, but also enables users to manage various components in an efficient and unified manner.

[0077] like Figure 8 As shown, in the embodiment of the present invention, the project and topology creation service is mainly to realize the management of the project level, and different topology networks can be created and managed under one project. For a project, there is a general planning parameter configuration. After completing the general configuration, you can create a project topology. The project topology is divided into two levels, and you can drag and drop components to form a network and configure component parameters at different levels.

[0078] like Fig. 9 As shown, in the embodiment of the present invention, the planning management function accurately evaluates the required energy resources and computing network resources by deeply analyzing the specific demand trends of task resources for the topological tasks constructed by the project. It further maps the corresponding energy equipment and computing network equipment requirements, and carefully measures the equipment energy consumption data to ensure the efficient operation of the project and the optimal configuration of resources.

[0079] like Fig.10As shown, in the embodiment of the present invention, step one: the user task requirements are clear. Through the drag-and-drop mode of the topology diagram, the task type and application type of the computing network energy are clarified, the tasks that the user needs to calculate are placed in the topology diagram, and the relevant computing network characteristic indicators, application data volume, and application QoS are filled in as required. Step two: The data center parameters are clear. Through the drag-and-drop mode of the topology diagram, the computing power, network, and energy equipment of each data center are clarified, and the relevant computing power, network, and energy computing power parameter indicators are filled in as required to complete the construction of the topology diagram. Step three: Project planning scheme creation. Based on the completed topology construction scheme, energy weight, computing power weight, termination conditions, time parameters, energy investment loan information, computing network investment loan information, tax rate information, and traditional carbon emission measurement information indicators are configured in the new scheme. Step four: Task computing power resource calculation. According to the business scenario, business service type, and corresponding task load, the computing power and energy consumption resources required for this task are calculated through the multivariate regression fitting algorithm. Step five: Data center computing network planning and construction. On the basis of obtaining the computing power resource requirements of the task, combined with the iterative thinking of the multi-objective optimization genetic algorithm, through the combination selection between multiple servers, the multi-objective optimization genetic algorithm is used to minimize carbon emissions, energy consumption and maximize benefits to obtain the computing power scale of each data center, related computing power equipment information (type, model, quantity, equipment computing power scale), and computing power load (computing power load on different typical days). Step 6: Optimization of data center energy planning and construction. After receiving the computing power load from the computing network side, the energy side combines the cooling energy consumption load, heating energy consumption load, and other energy consumption loads, and updates the energy construction plans of different data centers through multi-objective optimization.

[0080] Step 7: Optimize the planning and construction of the data center computing network. The energy side will update the optimized regional power supply energy, including power supply type, power, electricity price and other parameters to the computing network construction, and the computing network side will simultaneously update the plan. Finally, through multiple iterations, the computing network can integrate the optimal energy and data center joint planning and construction plan. Step 8: Investment results display. Through multiple iterations, the computing network can integrate the optimal energy and data center joint planning and construction plan, and output the node-level planning plan, including planning plans (energy planning plans, computing network planning plans), node indicator parameters (data center overall indicators, energy system indicators, computing network system indicators).

[0081] like Fig.11As shown, in the embodiment of the present invention, system management is divided into three modules: login, attribute management, and platform-level user organization and authority management. Login management: This module is responsible for handling the user's identity authentication process to ensure that only authorized users can safely access the system. Effectively protect the system from the threat of unauthorized access. Attribute configuration management: This module is responsible for focusing on the comprehensive management of system attributes and device data. It allows administrators to flexibly set and adjust system parameters, device attributes, etc. to meet specific needs in different business scenarios. Through centralized attribute configuration management, the maintainability and scalability of the system can be significantly improved. Platform-level user organization and authority management: This module is responsible for building and maintaining a refined user authority system. It supports the creation of user organizations (such as departments, teams, etc.) and assigns corresponding roles and permissions based on these organizations. Through strict authority control policies, it is ensured that each user can only access authorized resources and services, thereby ensuring the security and integrity of system data.

[0082] Project management is divided into four modules: topology management, planning management, operation management, and project-level user organization and authority management. Topology management: This module constructs a topology diagram of the project to intuitively display the internal computing power, network, energy supporting components, systems and their interrelationships, and provides a global hierarchical and domain-based visualization perspective, which facilitates intuitive understanding of the overall construction of the project. Planning management: This module is responsible for formulating the detailed project planning parameters, task planning parameters, energy planning supporting indicators and other indicators during the planning stage of the computing network energy project, and through the core integrated planning simulation algorithm, ensures accurate planning of target results and feasibility analysis, and lays a solid foundation for the smooth implementation of the project. Operation management: This module is responsible for monitoring the supply and demand matching relationship of computing network energy resources, optimizing the execution process, and improving the overall efficiency of the project through the core integrated operation simulation algorithm according to the actual energy supporting, computing network equipment supporting and data center construction of the project during the project execution stage. Project-level user organization and authority management: In order to ensure the security of each project information and the compliance of access, the project-level user organization and authority management module finely controls the access rights of project team members. By creating project-specific user organizations and assigning roles and permissions, hierarchical management and access control of internal project information can be achieved to ensure the confidentiality, integrity and availability of project data.

[0083] like Fig.12As shown, in the embodiment of the present invention, the login function is the core link to ensure user identity authentication and resource access control, and its authentication mechanism is crucial to protecting user data and system security. Through a strict authentication process, it is ensured that only authorized users can access system resources, thereby effectively resisting potential security risks such as unauthorized access and data leakage. The user must enter the correct user name and password to complete the identity authentication process and successfully enter the system. When the user forgets the password, enter his mobile phone number and receive a verification code via SMS to confirm the user's identity. After completing the verification, the user can reset the password and return to the login page to log in to the system.

[0084] like Fig.13 As shown, in the embodiment of the present invention, the attribute configuration function is intended to define the field standards of energy and computing network in the topological elements for users, thereby realizing efficient and unified management of various elements by users. Improve the convenience of user operation and management efficiency, and ensure the accuracy and consistency of component configuration. Conditional search: Provide keyword search function to improve user experience and search efficiency. Click the reset button to reset the search conditions for a new search. Improve the usability of the system and help users find the required information more quickly. Import: In order to manage and process data more effectively, users first need to download the import template applicable to their system. It will serve as a guide for data upload to ensure that the format and structure of the data meet the system requirements. After the data is ready, the user uploads it to the server through the upload function. After the upload is completed, the system will verify and process the data and feedback the results to the user. At the same time, data verification and error prompt functions are added, as well as data upload progress and status feedback, which can also allow users to better understand the progress and results of data processing. Device category tree control: The device category tree control fully supports the management and control of adding, editing and deleting devices. Configuration picture: Configure the relevant pictures of the device properties to help users better configure the device when building the topology in the project.

[0085] like Fig.14 As shown, in the embodiment of the present invention, the basic data function is to provide data support for various components, supplement the specific models of various components and their detailed parameters, realize the user's efficient and centralized management of various component models, and improve the overall management efficiency and accuracy. Add a new product: Create detailed attribute parameters related to a specific product, including but not limited to key information such as product name and product model, to ensure the comprehensiveness and accuracy of the information. Edit a product: Edit detailed attribute parameters related to a specific product, including but not limited to key information such as product name and product model, to ensure the comprehensiveness and accuracy of the information.

[0086] like Fig.15As shown, in the embodiment of the present invention, the functional description, the core function of the project management module is to efficiently and orderly manage a variety of green computing network simulation projects, and to support the full life cycle management of the project. Specifically, it is divided into the following sub-modules, namely project management, topology management, planning management, operation management and project authority management. Project management, the project management page is the homepage for users to enter the system for business operations. It is mainly used to manage different simulation projects, and supports clicking on project cards to enter different projects. In each independent project, topology management, planning management, operation management and related authority management can be performed separately.

[0087] like Figure 16-19As shown, in the embodiment of the present invention, the topology management page is a highly interactive and powerful interface, which is designed for building complex and changeable computing network energy simulation scenarios. On this page, users can intuitively drag and drop to flexibly combine various energy components (such as solar energy, wind power generation, photovoltaic power generation, energy storage systems, etc.), computing resources (including servers, routers, switches, etc.) and key elements such as communication and power network links into a complete system architecture. Topology management: supports users to create new planning or operation category topology schemes, and users can flexibly configure and manage multiple planning topology schemes according to needs. Supports configuration planning parameter management, which will take effect on all planning topologies under the current project. Planning / operation: provides two types of simulation scenarios in the planning stage and the operation stage. Add: provides the function of adding a new topology scheme, and a new scheme can be created by entering relevant parameters. Edit / delete: provides the ability to add and modify after creating a topology scheme, planning parameter management: provides a unified planning parameter configuration management capability under the project, and supports the configuration of time intervals, typical day types and days. The configuration of this parameter will take effect on all data configurations related to time intervals and typical days that need to be uploaded in the project. First-level topology construction: supports users to build first-level topology. The first-level topology mainly includes the supply and demand relationship of the overall computing network energy simulation. The demand side is the type of computing task, the description of the computing network characteristics, and the location information. The supply side is the type of data center and supporting energy site construction, and the energy supporting information. It also supports the construction of the topological architecture of communication network links and power network links by dragging and dropping. Task component: used to describe the computing network and energy consumption characteristics of different tasks. According to the typical computing network characteristics, application data volume, request volume and other dimensions of the input task, the demand for computing power, network and energy consumption of the task can be evaluated and optimized. Node component: used to describe the energy supporting resources of different data center construction areas, including regional area information, energy parameter types, prices and carbon emission related information. Router device component: used to describe the backbone network link from the task to the data center construction area, fit the physical distance information through the connection points in different geographical locations, and fit the data transmission delay information by configuring different network bandwidths. Second-level topology construction: supports users to view and build the detailed second-level topology of the area after clicking on the data center construction area. The secondary topology is mainly used to describe the specific energy construction equipment, data center network, and computing equipment supporting a specific data center construction area. It provides input for the algorithm calculation by configuring different equipment types and characteristic parameters. The secondary topology also supports the configuration of energy buses, which accurately describe the associated characteristics of power generation, heat generation, cooling and heating, energy storage and other equipment through different colors and thicknesses. The power generation equipment component is used to describe the power generation equipment in the integrated energy system, including wind turbines, photovoltaics, etc. After selecting different equipment models, the system will associate the corresponding equipment technical parameters and economic parameters and other dimensions of information for subsequent algorithm calculations.The power generation and heat generation equipment component is used to describe the power generation and heat generation equipment in the integrated energy system, including hydrogen fuel cells, cogeneration systems, etc. After selecting different equipment models, the system will associate the corresponding equipment technical parameters and economic parameters and other dimensions of information for the subsequent algorithm calculation. The cooling and heating equipment component is used to describe the cooling and heating equipment in the integrated energy system, including air source heat pumps, ground source heat pumps, electric boilers, electric refrigerators, absorption refrigerators, gas boilers, etc. After selecting different equipment models, the system will associate the corresponding equipment technical parameters and economic parameters and other dimensions of information for the subsequent algorithm calculation. The energy storage equipment component is used to describe the energy storage equipment in the integrated energy system, including power storage equipment, heat storage equipment, cold storage equipment, gas storage equipment, hydrogen storage equipment, etc. After selecting different equipment models, the system will associate the corresponding equipment technical parameters and economic parameters and other dimensions of information for the subsequent algorithm calculation. The computing power equipment component is used to describe the computing power resource equipment for data center construction, including CPU equipment and GPU equipment. After selecting different equipment models, the system will associate the corresponding equipment standardized parameters and provide information on equipment purchase cost, maintenance cost and other dimensions for subsequent algorithm calculations. The switch equipment component is used to describe the three-layer network architecture of the data center, including the aggregation layer, access layer and core layer. The model and purchase cost of the corresponding equipment can be flexibly selected at different levels. Maintenance cost and other information are used for subsequent algorithm calculations. The data center component is used to describe the actual construction of the data center nodes in the data center construction area, and based on different data centers, the computing power, network and energy support inside the data center can be divided in detail. The bus component is used to describe different energy flows in the integrated energy system, including power bus, heat bus, cooling bus, hydrogen bus and natural gas bus.

[0088] like Fig. 20As shown, in the embodiment of the present invention, the core of the planning and management function is to accurately evaluate the required energy resources and computing network resources by deeply analyzing the specific demand trends of task resources for the topological tasks constructed by the project. The corresponding energy equipment and computing network equipment requirements are further mapped, and the equipment energy consumption data is carefully measured to ensure the efficient operation of the project and the optimal configuration of resources. New scheme: You can create a new scheme name, select the topological structure of the scheme, and configure key parameters such as energy weight, computing power weight, termination condition, time parameter, etc. At the same time, you can also enter energy investment loan information, computing power investment loan information, tax rate information and traditional carbon emission measurement information to ensure the comprehensiveness and accuracy of the scheme. Planning and measurement scheme list: You can view and edit specific measurement schemes, including: scheme name, selected scheme topological structure, energy weight configuration, computing power weight configuration, termination condition setting, time parameter setting, energy investment loan information, computing power investment loan information, tax rate information and traditional carbon emission measurement information. Measurement results: You can view the planning schemes of all nodes under the topological structure in the measurement results, specifically including: energy planning scheme, computing network planning scheme, node indicator parameters and output of typical daily simulation results. Each item has been analyzed and verified in detail to ensure its accuracy and reliability. Configuration comparison: Compare the configuration energy weights, computing power weights, termination conditions, time parameters, energy investment loan details, computing power investment loan details, tax rate information, and traditional carbon emission measurement data of different solutions under the same topology for a comprehensive and detailed comparative analysis. Result comparison: Compare different solutions under the same topology in terms of equipment, indicators, and simulation results to comprehensively evaluate the pros and cons of different solutions.

[0089] like Fig.21As shown, in the embodiment of the present invention, the core of the operation management function is to accurately evaluate the required energy resources and computing network resources by deeply analyzing the specific demand trends of task resources for the topological tasks constructed by the project. Further map the corresponding energy equipment and computing network equipment requirements, and carefully measure the equipment energy consumption data to ensure the efficient operation of the project and the optimal configuration of resources. Add a new plan: You can create a new plan name, select the topological structure of the plan, and configure key parameters such as energy weight, computing power weight, termination conditions, and time parameters. At the same time, you can also enter energy investment loan information, computing power investment loan information, tax rate information, and traditional carbon emission measurement information to ensure the comprehensiveness and accuracy of the plan. Run calculation plan list: You can view and edit specific calculation plans, including: plan name, selected plan topological structure, energy weight configuration, computing power weight configuration, termination condition setting, time parameter setting, energy investment loan information, computing power investment loan information, tax rate information, and traditional carbon emission measurement information. Calculation results: You can view the operation plans of all nodes under the topological structure in the calculation results, specifically including: energy operation plan, computing network operation plan, node indicator parameters, and output of typical daily simulation results. Each item has been carefully analyzed and verified to ensure its accuracy and reliability.

[0090] In summary, the present invention has the following advantages: Through this platform (system), users can easily conduct comprehensive and detailed simulations of the construction and operation scenarios of data centers and energy stations during the planning and operation stages to enable the computing network to achieve collaborative operation. Users are allowed to preview simulation results under different strategies to more accurately evaluate costs and benefits. Through intuitive simulation results, decision makers can obtain key information to make more scientific and reasonable decisions, ensure efficient, stable, and environmentally friendly operations of data centers and energy stations, and promote sustainable and healthy business development.

[0091] like Figure 1 , Figure 2 As shown, the embodiment of the present invention provides a computing network energy integration system. The system embodiment can be implemented by software, or by hardware or a combination of software and hardware. From the hardware level, Figure 1 As shown, it is a hardware architecture diagram of an electronic device in which a computing network energy integration system is provided in an embodiment of the present invention, except Figure 1 In addition to the processor, memory, network interface, and non-volatile memory shown, the electronic device in which the system is located in the embodiment may also generally include other hardware, such as a forwarding chip responsible for processing messages, etc. Taking software implementation as an example, Figure 2 As shown, as a system in a logical sense, the CPU of the electronic device in which it is located reads the corresponding computer program in the non-volatile memory into the internal memory and runs it.

[0092] like Figure 3 As shown, this embodiment provides a method for integrating computing, network and energy, and the method for integrating computing, network and energy includes:

[0093] Step 300: Apply the computing network energy integration system to perform calculations and obtain calculation results.

[0094] It is understandable that the structure illustrated in the embodiment of the present invention does not constitute a specific limitation on a computing, network and energy integration system. In other embodiments of the present invention, a computing, network and energy integration system may include more or fewer components than shown in the figure, or combine some components, or split some components, or arrange the components differently. The components shown in the figure may be implemented in hardware, software, or a combination of software and hardware.

[0095] The information interaction, execution process and other contents between the modules in the above-mentioned system are based on the same concept as the embodiment of the method of the present invention. For the specific contents, please refer to the description in the embodiment of the method of the present invention, and no further description is given here.

[0096] An embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, a computing-network-energy integration method in any embodiment of the present invention is implemented.

[0097] An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the processor executes a computing-network-energy integration method in any embodiment of the present invention.

[0098] Specifically, a system or system equipped with a storage medium can be provided, on which software program code that implements the functions of any of the above-mentioned embodiments is stored, and the system or the computer (or CPU or MPU) of the system reads and executes the program code stored in the storage medium.

[0099] In this case, the program code itself read from the storage medium can realize the function of any one of the above-mentioned embodiments, and thus the program code and the storage medium storing the program code constitute a part of the present invention.

[0100] The storage medium embodiments for providing the program code include a floppy disk, a hard disk, a magneto-optical disk, an optical disk (such as CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD+RW), a magnetic tape, a non-volatile memory card, and a ROM. Alternatively, the program code can be downloaded from a server computer by a communication network.

[0101] In addition, it should be clear that the functions of any of the above embodiments can be implemented not only by executing the program code read by the computer, but also by enabling an operating system operating on the computer to complete part or all of the actual operations based on instructions from the program code.

[0102] In addition, it can be understood that the program code read from the storage medium is written to a memory provided in an expansion board inserted into the computer or to a memory provided in an expansion module connected to the computer, and then based on the instructions of the program code, a CPU installed on the expansion board or expansion module is enabled to perform part or all of the actual operations, thereby realizing the functions of any of the above-mentioned embodiments.

[0103] It should be noted that, in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are 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 other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0104] A person of ordinary skill in the art can understand that all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: ROM, RAM, magnetic disk or optical disk, etc., various media that can store program codes.

[0105] 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, network and energy integration system, characterized in that: The computing network energy integration system includes a basic support layer, a data layer, a service layer, an application layer, a display layer, an information security protection system, and an operation and maintenance management support system; The basic support layer, the data layer, the service layer, the application layer, the display layer, the information security protection system and the operation and maintenance management support system are sequentially connected in communication; The basic support layer is used for supporting data; The data layer is used for data storage; The service layer is used for algorithm services and general business services; The application layer is used to implement general business functions; The presentation layer is used for data presentation; The information security protection system is used for information security protection; The operation and maintenance management support system is used for daily operation and maintenance and troubleshooting.

2. The computing network energy integration system according to claim 1 is characterized in that: The basic support layer includes a fusion platform and a cloud platform.

3. The computing network energy integration system according to claim 2 is characterized in that: The data layer includes a business database, a third-party database and a distributed file system; The business database is used to store equipment attribute data, basic data, project data, topology data, solution data and optimization result data; The third-party database is used to store weather data and environmental data; The distributed file system is used to store templates and thumbnails.

4. The computing network energy integration system according to claim 3 is characterized in that: The service layer is used for algorithm services and general business services, including: The algorithm services include economic benefit optimization, SVD singular value decomposition, carbon emission optimization, PCA dimensionality reduction, and NASG2 multi-objective optimization; The general business services include file access, solution generation, data access, authority control, Excel analysis and third-party docking.

5. The computing-network-energy integration system according to claim 4 is characterized in that: The general business functions include single sign-on, planning management, user organization, planning schemes, authority management and operation management.

6. The computing-network-energy integration system according to claim 5 is characterized in that: The general business functions include basic data maintenance, operation plan, project management, optimization calculation, topology construction and simulation result output.

7. The computing-network-energy integration system according to claim 6, characterized in that: The display layer includes a PC terminal; The PC terminal is used for displaying business functions and data visualization results.

8. A method for integrating computing, network and energy, characterized in that: The method comprises: The computing-network-energy integration system according to any one of claims 1 to 7 is used to perform calculations to obtain calculation results.

9. An electronic device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the method as claimed in claim 8 is implemented.

10. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed in a computer, the computer is caused to execute the method described in claim 8.

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