WO2023138014A1 - 一种面向算网一体化场景的智慧营维系统及其应用方法 - Google Patents

一种面向算网一体化场景的智慧营维系统及其应用方法 Download PDF

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WO2023138014A1
WO2023138014A1 PCT/CN2022/107232 CN2022107232W WO2023138014A1 WO 2023138014 A1 WO2023138014 A1 WO 2023138014A1 CN 2022107232 W CN2022107232 W CN 2022107232W WO 2023138014 A1 WO2023138014 A1 WO 2023138014A1
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business
computing
network integration
network
management
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PCT/CN2022/107232
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French (fr)
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仇树卿
沈林江
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浪潮通信信息系统有限公司
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/50—Network service management, e.g. ensuring proper service fulfilment according to agreements
    • H04L41/5041—Network service management, e.g. ensuring proper service fulfilment according to agreements characterised by the time relationship between creation and deployment of a service
    • H04L41/5051—Service on demand, e.g. definition and deployment of services in real time
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/04—Network management architectures or arrangements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08—Configuration management of networks or network elements
    • H04L41/0893—Assignment of logical groups to network elements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14—Network analysis or design
    • H04L41/145—Network analysis or design involving simulating, designing, planning or modelling of a network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/50—Network service management, e.g. ensuring proper service fulfilment according to agreements
    • H04L41/5041—Network service management, e.g. ensuring proper service fulfilment according to agreements characterised by the time relationship between creation and deployment of a service

Definitions

  • This application relates to the field of network operation support, and in particular to a smart operation and maintenance system and its application method for computing-network integration scenarios.
  • the core objective of telecommunication network management is to maximize the use of telecommunication network resources, improve network operation quality and efficiency, and provide users with good communication services.
  • the Telecommunications Management Network provides a set of overall solutions for the realization of telecommunications network management goals. It can simplify the management mode of telecommunications operators in a multi-vendor mixed network environment, reduce the management costs of telecommunications operations, and enable enterprises to obtain better benefits.
  • Various management functions of TMN support the realization of management services of TMN, and meet the operation, maintenance and management requirements of the managed network. Managers interact with management applications through the man-machine interface, and perform various management operations on the managed network through the management functions provided by TMN.
  • TMN management functions are collectively referred to as FCAPS management, including: Performance Management, Configuration Management, Accounting Management, Fault Management, and Security Management.
  • the operation system function is used to process information related to telecommunication network management, realize the management functions (performance, fault, configuration, security, billing) defined in TMN, provide various management services on the basis of realizing management functions, and complete the monitoring and coordination of the telecommunication network.
  • 6G network will be able to use higher frequency than 5G network, and provide higher capacity and lower delay; continue to use the existing TMN operation system for management will bring the following defects:
  • Operators will change the operation system construction mode from all outsourcing to partial outsourcing + core technology self-development. Operator users will participate in the development process of network management software.
  • the traditional TMN system does not support software design, developers and other roles to participate;
  • the existing TMN operation system cannot meet the operation management needs of the new era, and it is urgent to upgrade a new system structure for customer services to promote the continuous development of network management services.
  • the embodiments of the present application provide a smart operation and maintenance system and its application method for computing-network integration scenarios that overcome the above-mentioned problems or at least partially solve the above-mentioned problems.
  • the embodiment of the present application provides a smart operation and maintenance system oriented to computing-network integration scenarios, the system includes: operation and maintenance center, evaluation center and training center;
  • the operation and maintenance center is used to realize the integrated operation of operations and maintenance for computing-network integration business objects according to the business model and business process in the computing-network integration scenario, and provide the computing-network integration business data generated during the operation to the evaluation center;
  • the evaluation center is used to mine the computing-network integration business data to generate business asset data
  • the training center is used to use the business asset data to deduce the business model and business process in the computing-network integration scenario, and publish it to the operation and maintenance center, so that the operation and maintenance center can update the business model and business process in the computing-network integration scenario.
  • the operation and maintenance center is also used to simultaneously provide the computing-network integration business data to the evaluation center and synchronously provide the business model corresponding to the computing-network integration business data to the evaluation center;
  • the operation and maintenance center includes: a unified business management module, a multi-tenant self-service portal module, a standardized management module and a runtime library;
  • the unified business management module is used for unified management of business models and business processes in the computing-network integration scenario
  • the standardized management module is used to realize the operation processing and/or operation and maintenance processing of the computing-network integration business corresponding to the computing-network integration business object according to the business process, and obtain corresponding computing-network integration business data; it is also used to use the computing-network integration business data under the support of the business model to realize the standardized management of the smart operation and maintenance system;
  • the multi-tenant self-service portal module is used to set a virtual partition for each computing-network integration business object to realize data isolation of different computing-network integration business objects; it is also used to call a business model that matches the customization requirements of the computing-network integration business object, and fill data for the business model to realize the customized display of the computing-network integration business object;
  • the operation library is used to store the computing-network integration business data from the standardized management module, and call the business model corresponding to the computing-network integration business data from the unified business management module; it is also used to regularly provide the computing-network integration business data and its corresponding business model to the evaluation center;
  • the standardized management includes: performance management, configuration management, account management, fault management and security management.
  • the unified business management module includes: a business model management unit and a business process management unit;
  • the business process management unit is used for unified management of business processes in the computing-network integration scenario
  • the business model management unit is composed of a physical layer, a virtualization layer, a cloud management layer, an industry cloud platform layer, and a business application layer.
  • the physical layer, virtualization layer, cloud management layer, industry cloud platform layer and business application layer are respectively used to manage business models related to hardware devices, virtualization software, multi-cloud management software, integrated management software and business application software.
  • the hardware equipment includes: X86 server, ARM server, network equipment and firewall;
  • the virtualization software includes: Hypervisor, KVM, xen, docker and SDN;
  • the multi-cloud management software includes: OpenStack, Vmware and K8S;
  • the integrated management software includes: public cloud, private cloud, network cloud and edge cloud;
  • the business application software includes: NFV VNF package, PAAS application and SAAS application.
  • the evaluation center is oriented to the evaluation object, and the evaluation center includes: a scene-one-case-one-case module, a smart AI management module, a business asset management module, a case library, and an operation and maintenance library;
  • the operation and maintenance library is used to store the computing-network integration business data provided by the operation and maintenance center and its corresponding business model;
  • the scenario-one-case-one-case module is used to analyze the scenario case of the computing-network integration business data based on the business model corresponding to the computing-network integration business data and the scenario thematic retrospective view stored in the case library, and obtain the scenario-based case and the scenario-specific retrospective view correspondingly; it is also used to store the obtained scenario-based case in the case library, and update the scenario-specific retrospective view stored in the case library to the obtained scenario-thematic retrospective view;
  • the intelligent AI management module is used to mine business asset data from the scenario-based case by means of labeling and training;
  • the business asset management module is used to classify and manage business asset data.
  • the business asset data includes: rule-type business asset data, strategy-type business asset data, knowledge-type business asset data and AI knowledge base-type business asset data;
  • the scene thematic backtracking view includes: alarm trend backtracking view, radar statistics backtracking view and real-time flow list backtracking view;
  • rule-type business asset data includes: alarm rules, dispatch rules, association rules and asset data verification rules;
  • the policy-type business asset data includes: alarm delay dispatch policy, alarm policy, packaging policy, data collection policy and monitoring rollback policy;
  • the knowledge-type business asset data includes: historical health of network equipment, alarm handling experience, and bureau data parameter configuration;
  • the AI knowledge base business asset data includes: a text recognition library, a speech recognition library and an image recognition library.
  • the training center is oriented to fusion objects;
  • the training center includes: computing-network digital twin module, operation support business design module, digital sand table simulation exercise module and strategy library;
  • the computing network digital twin module is used to perform computing network digital twinning on the operation and maintenance center based on the business model stored in the strategy library, and the management data of the unified business management module, the management data of the standardized management module, and the computing network integration business data to obtain the virtual computing network corresponding to the operation and maintenance center;
  • the operation support business design module is used to design a business model and business process for the computing-network integration scenario corresponding to the online computing-network integration business based on the business asset data corresponding to the online computing-network integration business;
  • the digital sand table simulation drill module is used to use the virtual computing network and the computing-network integration service data corresponding to the online computing-network integration business to simulate and verify the business model and business process designed for the computing-network integration scenario corresponding to the online computing-network integration business; it is also used to retrospectively verify the business model and business process for the computing-network integration scene design corresponding to the online computing-network integration business after the simulation verification is passed, using the virtual computing network and the scenario-related scenarios related to the computing-network integration scenario corresponding to the online computing-network integration business; When the retrospective verification meets expectations, the business model and business process designed for the computing-network integration scenario corresponding to the online computing-network integration business are released to the operation and maintenance center and strategy library as the business model and business process in the corresponding computing-network integration scenario, and inform the operation support business design module to redesign when the simulation verification fails or the retrospective verification does not meet expectations;
  • the policy library is used to store the latest released business models and business processes in the computing-network integration scenario.
  • the operation support business design module is also used to design business models and business processes for computing-network integration scenarios corresponding to computing-network integration services that have not been launched yet.
  • the digital sand table simulation exercise module is also used to use the virtual computing network to simulate and verify the business model and business process designed for the computing-network integration scenario corresponding to the computing-network integration business that is not online, and publish the business model and business process designed for the computing-network integration scenario corresponding to the computing-network integration business that is not online as the business model and business process in the corresponding computing-network integration scenario to the operation and maintenance center and strategy library when the simulation verification fails. redesign.
  • the computing-network integration business objects include: first-line agent maintenance, government and enterprise tenants, and operation and maintenance monitoring tenants;
  • the evaluation objects include: asset appraisers, business appraisers, AI analysts and data engineers;
  • the fusion objects include: business administrators, operation and maintenance management experts and platform administrators.
  • the embodiment of the present application provides an application method of a smart operation and maintenance system oriented to a computing-network integration scenario, the method comprising:
  • the operation and maintenance center realizes the integrated operation of operation and maintenance for computing-network integration business objects, and provides the computing-network integration business data generated during the operation to the evaluation center;
  • the evaluation center mines the computing-network integration business data to generate business asset data
  • the training center uses the business asset data to deduce the business model and business process in the computing-network integration scenario, and publishes it to the operation and maintenance center, so that the operation and maintenance center can update the business model and business process in the computing-network integration scenario.
  • This application provides a smart operation and maintenance system for computing-network integration scenarios and its application method.
  • the operation and maintenance center, training center and evaluation center are designed for the application requirements of computing-network integration scenarios.
  • the operation and maintenance center uses the pre-distributed business model to realize the planning and management of cloud computing and NFV/SDN networks, and uses the pre-distributed business processes to run through the production links to meet the operation and maintenance needs of cloud business and network business integration scenarios. Utilize, formulate a unified and standardized business model and business process, and distribute it to the operation and maintenance center to update the business model and business process of the operation and maintenance center to achieve a closed loop.
  • the system meets the customer's requirements for real-time data and stability, customization and agility of network management under the close combination of network and cloud computing with the introduction of NFV technology and SDN technology.
  • Figure 1 is a structural diagram of the smart operation and maintenance system in the computing-network integration scenario provided by this application;
  • Fig. 2 is a schematic structural diagram of the business model management unit provided by this application.
  • Figure 3 is the business model and business process deduction flow chart in the computing-network integration scenario corresponding to the online computing-network integration business provided by this application;
  • Figure 4 is a business model and business process deduction flow chart in the computing-network integration scenario corresponding to the computing-network integration service provided by this application;
  • Fig. 5 is a schematic flow chart of the application method of the intelligent operation and maintenance system oriented to the computing-network integration scenario provided by the present application.
  • the intelligent operation and maintenance system oriented to the computing-network integration scenario provided by this application includes: operation and maintenance center, evaluation center and training center;
  • TSN Telecom Management Network
  • FCAPS TMN management function
  • the operation and maintenance center is used to realize the integrated operation of operations and maintenance for computing-network integration business objects according to the business model and business process in the computing-network integration scenario, and provide the computing-network integration business data generated during the operation to the evaluation center;
  • the operation and maintenance center is directly connected to the computing-network integration business object, and each computing-network integration business object has a corresponding computing-network integration business, and each computing-network integration business corresponds to a computing-network integration scenario;
  • this application provides the operation and maintenance integration service (combination of operation service and operation and maintenance service) for each computing-network integration business object through unified management of the business model and business process in each computing-network integration scenario, so as to realize the operation and maintenance integration of the operation and maintenance center. .
  • the operation-maintenance integration service is responsible for the relevant data collection, synchronization operation, and business flow processing of computing-network integration business objects. Specifically, it is to complete operations such as alarm collection, performance collection, historical data synchronization, device command activation, and fault recovery;
  • a business process is a series of activities composed of business rules and business policies that can achieve specific value goals; among them, business rules, such as fault dispatch rules, resource data quality verification rules, performance threshold threshold rules, optimization and activation logic rules, operation and maintenance process link rules, security management and control operation process rules, etc.
  • Business policies are targeted actions for business rules.
  • a business model is a model that records the network topology of physical resources, display templates, and/or management template configuration information corresponding to computing-network integration scenarios.
  • the evaluation center is used to mine the computing-network integration business data to generate business asset data
  • the evaluation center is responsible for one-case-by-case management of the computing-network integration business data generated by the operation and maintenance center, and obtains scenario-based cases; and conducts intelligent labeling, training and optimization of scenario-based cases, and gradually forms business asset data such as alarm association rules, fault handling knowledge, resource data verification knowledge, and historical scenario experience;
  • the training center is used to use the business asset data to deduce the business model and business process in the computing-network integration scenario, and publish it to the operation and maintenance center, so that the operation and maintenance center can update the business model and business process in the computing-network integration scenario.
  • the training center Based on the business asset data analyzed by the evaluation center, the training center designs and processes business models and business processes in the computing-network integration scenario, and then conducts simulation verification and retrospective verification of the designed business models and business processes to deduce the business models and business processes in the computing-network integration scenario, and simultaneously releases online applications to the operation and maintenance center, so that the operation and maintenance center can update the business model and business processes in the computing-network integration scenario, and support the operation and maintenance of the operation and maintenance center.
  • the basis of simulation verification and retrospective verification is to synchronize the network resource data of the operation and maintenance center to form the NFV data center and the digital twin of the computing network of the SDN network.
  • the smart operation and maintenance system of this application for computing-network integration scenarios is based on the existing TMN architecture, referring to the actual business situation of operators and a set of brand-new IT architecture built to meet the arrival of 6G new technology. It is oriented to cloud computing and NFV/SDN network integrated operation and maintenance mode, and has the characteristics of driving management with a unified business model, intelligent design, arrangement and evaluation methods, and multi-role operation pipeline participation.
  • the intelligent operation and maintenance system oriented to the computing-network integration scenario designed the operation and maintenance center, training center and evaluation center for the application requirements of the computing-network integration scenario; the operation and maintenance center uses the pre-distributed business model to realize the planning and management of cloud computing and NFV/SDN network, and uses the pre-distributed business process to integrate the production links to meet the operation and maintenance needs in the cloud business and network business integration scenario; Unify and standardize the business model and business process, and distribute it to the operation and maintenance center to update the business model and business process of the operation and maintenance center to achieve a closed loop. It meets the customer's requirements for real-time data and stability, customization and agility of network management under the close combination of network and cloud computing with the introduction of NFV technology and SDN technology.
  • the operation and maintenance center is further configured to provide the evaluation center with the business model corresponding to the computing-network integration business data synchronously while providing the computing-network integration business data to the evaluation center;
  • the evaluation center manages the computing-network integration business data generated by the operation and maintenance center on a case-by-case basis, it must refer to the business model in the corresponding computing-network integration scenario to conduct a case-based analysis of the computing-network integration business data. Therefore, the evaluation center also needs to obtain the business model corresponding to the computing-network integration business data;
  • the operation and maintenance center includes: a unified business management module, a multi-tenant self-service portal module, a standardized management module and a runtime library;
  • the unified business management module is used for unified management of business models and business processes in the computing-network integration scenario
  • the unified business management module supports operations such as adding, deleting, modifying, querying, importing, and exporting unified business models and business processes in computing-network integration business scenarios.
  • the business model in the unified business management module provides support for the construction, change, and management of the multi-tenant self-service portal module and the standardized management module (standardized management - FCAPS); at the same time, the business process in the unified business management module (OneData) provides support for the business processing logic of the multi-tenant self-service portal module and the standardized management module (standardized management - FCAPS).
  • this application transforms the business process and business model required by the functions realized by the multi-tenant self-service portal module (portal management) and the functions realized by the standardized management module (fault management, resource management, performance management, optimization management, and operation and maintenance management) from a decentralized and isolated management mode to a centralized and unified management mode.
  • the standardized management module fault management, resource management, performance management, optimization management, and operation and maintenance management
  • the standardized management module is used to realize the operation processing and/or operation and maintenance processing of the computing-network integration business corresponding to the computing-network integration business object according to the business process, and obtain corresponding computing-network integration business data; it is also used to use the computing-network integration business data under the support of the business model to realize the standardized management of the smart operation and maintenance system;
  • the standardized management module performs two parts of operation and maintenance integration service and standardized management.
  • the operation and maintenance integration service is the process of using business processes to realize the operation and/or operation and maintenance processing of computing and network integration services.
  • Standardization management includes basic content such as performance management, configuration management, account management, fault management, security management, etc.
  • Performance management is to evaluate the performance of telecommunication equipment and the effectiveness of network units, and propose a set of functions for evaluation reports, including performance testing, performance analysis and performance control; configuration management manages the configuration of network units, service investment, start/stop services, etc. Management of abnormalities in the installation environment; including four functions of alarm monitoring, fault location, fault correction, and fault management.
  • Security management mainly provides the ability to protect the network and network equipment, including management of access and user rights, security review, and security alarm processing.
  • FCAPS will provide common service capabilities to support the use of multi-tenant self-service portals.
  • the multi-tenant self-service portal module is used to set a virtual partition for each computing-network integration business object to realize data isolation of different computing-network integration business objects; it is also used to call a business model that matches the customization requirements of the computing-network integration business object, and fill data for the business model to realize the customized display of the computing-network integration business object;
  • the multi-tenant self-service portal module considers internal and external security and user individual needs, and the operation and maintenance center builds a user-oriented centralized tenant portal to support the use of multiple roles such as front-line agent maintenance, customer operation and maintenance, and government and enterprise tenant operation and maintenance.
  • the multi-tenant portal sets up virtual partitions for each tenant to ensure data isolation of each tenant. Driven by OneData’s business model, it extracts the API service capabilities, data service capabilities, and interface view service capabilities open in the standardized management-FCAPS, and integrates them into scene-oriented thematic application views according to the actual production needs of customers, including daily management views, reception demonstration views, major event guarantee views, and customer self-service views; that is, complete customized display.
  • the operation library is used to store the computing-network integration business data from the standardized management module, and call the business model corresponding to the computing-network integration business data from the unified business management module; it is also used to regularly provide the computing-network integration business data and its corresponding business model to the evaluation center;
  • the computing-network integration business data generated by the standardized management module is stored in the operation library, and the operation library regularly synchronizes the computing-network integration business data and its corresponding business model to the evaluation center.
  • the standardized management includes: performance management, configuration management, account management, fault management and security management.
  • the unified business management module includes: a business model management unit and a business process management unit;
  • the business process management unit is used for unified management of business processes in the computing-network integration scenario
  • the business process management unit has the ability to manage business processes such as faults, resources, performance, optimization, operation and maintenance, operation, and security.
  • the business model management unit is composed of a physical layer, a virtualization layer, a cloud management layer, an industry cloud platform layer, and a business application layer.
  • the physical layer, virtualization layer, cloud management layer, industry cloud platform layer and business application layer are respectively used to manage business models related to hardware devices, virtualization software, multi-cloud management software, integrated management software and business application software.
  • this application sets up a five-layer standardized model management layer, namely physical layer, virtualization layer (containerization layer), cloud management layer, industry cloud platform layer and business application layer; in order to realize hierarchical management of business models; of course, each business model has its corresponding label (such as computing network integration scene number) to call the business model.
  • model management layer namely physical layer, virtualization layer (containerization layer), cloud management layer, industry cloud platform layer and business application layer
  • the hardware device includes: an X86 server, an ARM server, a network device, and a firewall;
  • the virtualization software includes: Hypervisor, KVM, xen, docker and SDN;
  • the multi-cloud management software includes: OpenStack, Vmware and K8S;
  • the integrated management software includes: public cloud, private cloud, network cloud and edge cloud;
  • the business application software includes: NFV VNF package, PAAS application and SAAS application.
  • Figure 2 provides a schematic diagram of the business model management unit structure.
  • the physical layer management scope includes X86 servers, ARM servers, network devices, firewalls, etc.;
  • the virtualization layer management scope includes Hypervisor, KVM, xen, docker, SDN, etc.;
  • the cloud management layer management scope includes OpenStack, VMware, and K8S;
  • the industry cloud platform layer management scope includes public clouds, private clouds, network clouds, and edge clouds;
  • the evaluation center is oriented to the evaluation object, and the evaluation center includes: a scene-one-case-one-case module, a smart AI management module, a business asset management module, a case library, and an operation and maintenance library;
  • the operation and maintenance library is used to store the computing-network integration business data provided by the operation and maintenance center and its corresponding business model;
  • the scenario-one-case-one-case module is used to analyze the scenario case of the computing-network integration business data based on the business model corresponding to the computing-network integration business data and the scenario thematic retrospective view stored in the case library, and obtain the scenario-based case and the scenario-specific retrospective view correspondingly; it is also used to store the obtained scenario-based case in the case library, and update the scenario-specific retrospective view stored in the case library to the obtained scenario-thematic retrospective view;
  • the scenario-one-event-one-case module extracts the computing-network integration business data and the corresponding business model in the operation and maintenance database.
  • the business evaluator conducts scenario-case analysis on the computing-network integration business data based on the business model corresponding to the computing-network integration business data and the scene topic retrospective view previously stored in the case library, and extracts the scenario business data from the aspects of time range, network element range, space range, resource relationship range, and device type range to obtain a scenario-based case, and stores the scenario-based case in a separate case library.
  • scenario case analysis regenerate the scenario thematic retrospective view to trace back the specific situation of the historical scenario business data through the time axis, and update the scenario thematic retrospective view in the case library.
  • the intelligent AI management module is used to mine business asset data from the scenario-based case by means of labeling and training;
  • the intelligent AI management module for scenario-based cases corresponding to structured data such as alarms, performance, and resources, performs data labeling and drag-and-drop training on scenario-based cases to mine invisible relationships in network operation and maintenance process data, such as association rules, threshold thresholds, and dynamically changing baselines, to obtain rule-type, policy-type, and knowledge-type business asset data; thus providing production verification support for the training center.
  • structured data such as alarms, performance, and resources
  • scenario-based cases corresponding to unstructured data such as maintenance inspection photos, computer room surveillance videos, and call voice records
  • data labeling and training are performed on the scenario-based cases to identify AI scenario capabilities in the network operation and maintenance process data, such as speech recognition capabilities, text context analysis capabilities, etc., to obtain AI knowledge base business asset data; thus providing production verification support for the training center.
  • the business asset management module is used to classify and manage business asset data.
  • the business asset management module realizes the effective management of high-value business data generated during operation and maintenance, and has the functions of unified storage, update, and opening of such data.
  • the data range includes rules (such as alarm dispatch rules, association rules, and resource data verification rules), policies (such as alarm delay dispatch policies, alarm policies, packaging policies, data collection policies, and monitoring rollback policies), knowledge data (such as network equipment historical health, alarm processing experience, and local data parameter configuration), AI knowledge base (such as text recognition library, voice recognition) library and image recognition library) to support the smart operation and maintenance center to form an effective business data asset management method, and give more play to the value of business data.
  • rules such as alarm dispatch rules, association rules, and resource data verification rules
  • policies such as alarm delay dispatch policies, alarm policies, packaging policies, data collection policies, and monitoring rollback policies
  • knowledge data such as network equipment historical health, alarm processing experience, and local data parameter configuration
  • AI knowledge base such as text recognition library, voice recognition) library and image recognition library
  • the business asset data includes: rule-type business asset data, policy-type business asset data, knowledge-type business asset data, and AI knowledge base-type business asset data;
  • the scene thematic backtracking view includes: alarm trend backtracking view, radar statistics backtracking view and real-time flow list backtracking view;
  • rule-type business asset data includes: alarm rules, dispatch rules, association rules and asset data verification rules;
  • the policy-type business asset data includes: alarm delay dispatch policy, alarm policy, packaging policy, data collection policy and monitoring rollback policy;
  • the knowledge-type business asset data includes: historical health of network equipment, alarm handling experience, and bureau data parameter configuration;
  • the AI knowledge base business asset data includes: a text recognition library, a speech recognition library and an image recognition library.
  • the training center is oriented to the fusion object;
  • the training center includes: a computing network digital twin module, an operation support business design module, a digital sand table simulation exercise module and a strategy library;
  • the computing network digital twin module is used to perform computing network digital twinning on the operation and maintenance center based on the business model stored in the strategy library, and the management data of the unified business management module, the management data of the standardized management module, and the computing network integration business data to obtain the virtual computing network corresponding to the operation and maintenance center;
  • the computing network digital twin module by synchronizing the management data of the operation and maintenance center, uses the business model provided by OneData (which can also be understood as the cloud and network physical model) to superimpose the data in the operation process of the operation and maintenance center, integrates the simulation process of multi-discipline, multi-physical quantity, multi-scale, and multi-probability, and completes the mapping of cloud computing and network in the real world in the virtual space, so as to reflect the corresponding cloud and network.
  • OneData which can also be understood as the cloud and network physical model
  • the whole life cycle process supports the simulation design process of digital sand table simulation exercises and operation support business design.
  • the operation support business design module is used to design a business model and business process for the computing-network integration scenario corresponding to the online computing-network integration business based on the business asset data corresponding to the online computing-network integration business;
  • the operation supports the business design module to carry out traditional business design work.
  • Senior experts draw on knowledge and experience such as resource processing experience, performance processing experience, operation and maintenance processing experience, fault processing experience, optimization processing experience, and orchestration processing experience, and form a business scenario plan through offline combing and design.
  • This application extracts the traditional offline combing and offline design work and process to online completion, in which the business design content includes UI interface, operation and maintenance process and service capabilities.
  • business scenarios include resource management scenarios, performance management scenarios, operation and maintenance management scenarios, fault management scenarios, optimization management scenarios, and orchestration scenario management.
  • the digital sand table simulation drill module is used to use the virtual computing network and the computing-network integration service data corresponding to the online computing-network integration business to simulate and verify the business model and business process designed for the computing-network integration scenario corresponding to the online computing-network integration business; it is also used to retrospectively verify the business model and business process for the computing-network integration scene design corresponding to the online computing-network integration business after the simulation verification is passed, using the virtual computing network and the scenario-related scenarios related to the computing-network integration scenario corresponding to the online computing-network integration business; When the retrospective verification meets expectations, the business model and business process designed for the computing-network integration scenario corresponding to the online computing-network integration business are released to the operation and maintenance center and strategy library as the business model and business process in the corresponding computing-network integration scenario, and inform the operation support business design module to redesign when the simulation verification fails or the retrospective verification fails to meet expectations;
  • Figure 3 provides the business model and business process deduction flow chart for the online computing-network integration scenario corresponding to the online computing-network integration business. It can be seen from Figure 3 that for the online computing-network integration business, the digital sand table simulation exercise module combined with the virtual computing network generated by the digital twin of the computing network, by loading historical data related to the business, replays the historical events related to the business, and simulates and verifies the business process and business model designed by the operation support business design module for the business. Model, after the retrospective verification is passed, the business process and business model are synchronized to the operation and maintenance center and stored in the strategy library. Otherwise, return the corresponding simulation verification process data and retrospective verification process data to the operation support business design module, so that the operation support business design module readjusts the business process and business model, and performs simulation verification and retrospective verification again until it passes the retrospective verification.
  • the policy library is used to store the latest released business models and business processes in the computing-network integration scenario.
  • the operation support service design module is also used to design a service model and a business process for a computing-network integration scenario corresponding to a computing-network integration service that has not been launched.
  • the operation support business design module of the training center is required to design the business process and business model of the new business (it should be noted that the business process and business model of the new business must not conflict with the existing business process and business model in the existing network), so as to support the production and use of the new business.
  • this application transfers the traditional offline design work of operation and maintenance and operation scenarios to online operation, explicitly stores the traditional knowledge and experience in the minds of experts in IT software functions, and realizes the online and closed-loop mode of operation and operation and maintenance management.
  • the digital sand table simulation exercise module is also used to use the virtual computing network to simulate and verify the business model and business process designed for the computing-network integration scenario corresponding to the computing-network integration business that is not online.
  • the simulation verification is passed, the business model and business process designed for the computing-network integration scenario corresponding to the computing-network integration business that is not online are released to the operation and maintenance center and the policy library as the business model and business process in the corresponding computing-network integration scenario, and notify the operation support business design module when the simulation verification fails. redesign.
  • Figure 4 provides the business model and business process deduction flow chart of the computing-network integration scenario corresponding to the computing-network integration business that has not been launched. It can be seen from Figure 4 that the business process and business model of the new business designed by the operation support business design module needs to be simulated and verified by the digital sand table simulation exercise module of the training center. The operation and maintenance center is used to support the production and use of new business. Otherwise, return corresponding simulation verification process data to the operation support business design module, so that the operation support business design module readjusts the business process and business model, and performs simulation verification again until it passes the simulation verification.
  • IT technical means include: the computing network digital twin built by collecting full and real-time network resource data; through intelligent AI labeling and mining analysis of historical data, the implicit relationship between the initial data, that is, rules and strategies, is found to design business processes and business models, and then the business process and business model are further verified through the scene retrospective method of the visual interface, and the business process and business model are more explicitly clarified through the computing network digital twin.
  • the computing-network integration business objects include: first-line agent maintenance, government and enterprise tenants, and operation and maintenance monitoring tenants;
  • the evaluation objects include: asset appraisers, business appraisers, AI analysts and data engineers;
  • the fusion objects include: business administrators, operation and maintenance management experts and platform administrators.
  • This application solves the problem that the traditional TMN system does not support the participation of software design and development personnel by expanding the scope of network operation and maintenance roles from operation and maintenance roles to operation and maintenance roles of government and enterprise customers, AI engineers, data engineers, business administrators, asset appraisers, business appraisers, and AI analysts.
  • TOSCA Smart Operation and Maintenance System
  • TOSCA As an open cloud standard, TOSCA was formulated by the OASIS organization with the joint participation of many world-renowned IT companies. It has become an internationally common industry standard and is widely used.
  • TOSCA supports JSON, YAML, and XML to describe the structure of resources, and is called a topology template (Topology Template).
  • Topology Template The TOSCA topology template is used to define the interaction and system of each component of the cloud application, including components, relationships/dependencies between components, and their requirements and capacities, and is finally packaged into a compressed package in the CSARs format, allowing automated management and migration across cloud platforms.
  • the internal interface of the smart operation and maintenance system should support the FTP or SFTP protocol.
  • the server provides an FTP server that can obtain resource performance data, and the client is an FTP client.
  • the server puts the data files on the FTP server, and the client collects the data files by itself.
  • the server system is responsible for the generation, storage and deletion of FTP files for the FTP client to obtain.
  • the internal interface format of the smart operation and maintenance system follows the RESTful API style, the transmission protocol adopts HTTP1.1 (HTTP protocol version, SSL/TLS protocol version), and the transmission content must be encoded in UTF-8 format without BOM.
  • the management system for the operation support business can no longer meet the growing demand for specialization, resulting in more and more construction of operation support content.
  • the system architecture capability is more and more fragile, and the cost investment does not match the output. This phenomenon is common in the field of operation support of large operators. Therefore, the intelligent operation and maintenance system oriented to computing and network integration not only ensures the evolution of existing IT systems, but also creates new IT capabilities to meet the application requirements of future cloud and network integration scenarios.
  • the construction of traditional IT systems basically adopts chimney-style architecture management. There are situations where interfaces cannot be reused, business and data between systems are isolated, and business development cannot be unified externally.
  • Fig. 5 illustrates a schematic flow diagram of the application method of the smart operation and maintenance system oriented to the computing-network integration scenario. As shown in Fig. 5, the method includes:
  • the operation and maintenance center realizes the integrated operation of operation and maintenance for computing-network integration business objects, and provides the computing-network integration business data generated during the operation to the evaluation center;
  • the evaluation center mines the computing-network integration business data to generate business asset data
  • the training center uses the business asset data to deduce the business model and business process in the computing-network integration scenario, and publishes it to the operation and maintenance center, so that the operation and maintenance center updates the business model and business process in the computing-network integration scenario.
  • the application method of the intelligent operation and maintenance system for computing-network integration scenarios designs the operation and maintenance center, training center and evaluation center for the application requirements of computing-network integration scenarios; the operation and maintenance center uses the pre-distributed business models to realize the planning and management of cloud computing and NFV/SDN networks, and uses the pre-distributed business processes to run through the production links to meet the operation and maintenance needs of the cloud business and network business integration scenarios; , formulate a unified and standardized business model and business process, and distribute it to the operation and maintenance center to update the business model and business process of the operation and maintenance center to achieve a closed loop. It meets the customer's requirements for real-time data and stability, customization and agility of network management under the close combination of network and cloud computing with the introduction of NFV technology and SDN technology.
  • each implementation can be implemented by means of software plus a necessary general-purpose hardware platform, and of course also by hardware.
  • the computer software product can be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes several instructions to make a computer device (which can be a personal computer, server, or network device, etc.) execute the methods described in various embodiments or some parts of the embodiments.

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Abstract

本申请涉及一种面向算网一体化场景的智慧营维系统及其应用方法，所述系统包括：营维中心、评估中心和实训中心；其中，营维中心根据算网一体化场景下的业务模型和业务流程实现面向算网一体化业务对象的营维合一运行，并将运行过程中产生的算网一体化业务数据提供给评估中心；评估中心对算网一体化业务数据进行挖掘，以生成业务资产数据；所述实训中心利用业务资产数据推演算网一体化场景下的业务模型和业务流程，并发布给营维中心以使营维中心更新算网一体化场景下的业务模型和业务流程。

Description

一种面向算网一体化场景的智慧营维系统及其应用方法
相关申请的交叉引用
本申请要求于2022年01月19日提交的申请号为2022100623331，申请名称为“一种面向算网一体化场景的智慧营维系统及其应用方法”的中国专利申请的优先权，其通过引用方式全部并入本申请。
技术领域
本申请涉及网络运行支撑领域，尤其涉及一种面向算网一体化场景的智慧营维系统及其应用方法。
背景技术
电信网络管理的核心目标是要最大限度地利用电信网络资源，提高网络的运行质量和效率，向用户提供良好的通信服务。而电信管理网(Telecommunication Management Network，TMN)则为电信网络管理目标的实现提供了一套整体解决方案，它能简化多厂商混合网络环境下电信运营企业的管理模式，降低电信运营的管理成本，从而使企业获得更好的效益。TMN的各类管理功能支持TMN的管理业务的实现，满足对被管理网络的操作，维护和管理的需要。管理人员通过人机接口与管理应用交互，通过TMN提供的管理功能对被管理网络进行各项管理操作活动，TMN管理功能统称为FCAPS管理，包括：性能管理(Performance Management)、配置管理(Configuration Management)、账务管理(Accounting Management)、故障管理(Fault Management)、安全管理(Security Management)。运营系统功能用来处理与电信网管理相关的信息，实现TMN中定义的管理功能(性能、故障、配置、安全、计费)，在实现管理功能的基础上提供各种管理业务，完成对电信网的监控和协调。
但是随着5G移动通信技术成熟发展，6G通信技术即将到来，6G网络将能够使用比5G网络更高的频率，并提供更高的容量和更低的延迟；继续采用既有的TMN运营体系进行管理将会带来以下几点缺陷：
(1)5G时代和6G时代，引入的网络功能虚拟化技术(Network Functions Virtualization，NFV)和软件定义网络(Software Defined Network，SDN)技术，推动了基础网络资源从稳态增进向动态更新发展，对数据实时性要求越来越高，传统TMN体系中模块间数据批量同步等手段已无法满足客户对实时性的要求；
(2)运营商的主营业务侧重向政企业务发展，政企业务大部分采用云服务模式，云与网结合更紧密，对网络管理的稳定性、定制化、敏捷性要求更高，传统的TMN体系以需求驱动的被动式支撑架构方式无法及时响应客户需求；
(3)运营商将运营系统建设模式从全部外包向部分外包+核心技术自研的方式结合，运营商用户将会参与网络管理软件的开发过程，传统的TMN体系不支持软件设计、开发人员等角色参与；
因此，既有的TMN运营系无法满足新时代的运营管理需求，亟需升级一套全新的、面向客户业务的新型体系结构来推动网络管理业务的持续发展。
发明内容
针对现有技术存在的问题，本申请实施例提供一种克服上述问题或者至少部分地解决上述问题的面向算网一体化场景的智慧营维系统及其应用方法。
第一个方面，本申请实施例提供一种面向算网一体化场景的智慧营维系统，所述系统包括：营维中心、评估中心和实训中心；
其中，所述营维中心，用于根据算网一体化场景下的业务模型和业务流程实现面向算网一体化业务对象的营维合一运行，并将运行过程中产生的算网一体化业务数据提供给所述评估中心；
所述评估中心，用于对所述算网一体化业务数据进行挖掘，以生成业务 资产数据；
所述实训中心，用于利用所述业务资产数据推演算网一体化场景下的业务模型和业务流程，并发布给所述营维中心，以使所述营维中心更新算网一体化场景下的业务模型和业务流程。
根据本申请提供的面向算网一体化场景的智慧营维系统，所述营维中心还用于在将所述算网一体化业务数据提供给所述评估中心的同时，将所述算网一体化业务数据对应的业务模型同步提供给所述评估中心；
所述营维中心，包括：统一业务管理模块、多租户自服务门户模块、标准化管理模块和运行库；
其中，所述统一业务管理模块，用于对算网一体化场景下的业务模型和业务流程进行统一管理；
所述标准化管理模块，用于根据所述业务流程实现算网一体化业务对象对应的算网一体化业务的运营处理和/或运维处理，得到相应的算网一体化业务数据；还用于在所述业务模型的支撑下利用所述算网一体化业务数据实现对智慧营维系统的标准化管理；
所述多租户自服务门户模块，用于为每一个算网一体化业务对象设置一个虚拟分区，以实现不同算网一体化业务对象的数据隔离；还用于调用与算网一体化业务对象定制化需求相适配的业务模型，并为所述业务模型填充数据，以实现算网一体化业务对象的定制化显示；
所述运行库，用于存储来自标准化管理模块的算网一体化业务数据，以及从统一业务管理模块调用所述算网一体化业务数据对应的业务模型；还用于将所述算网一体化业务数据及其对应的业务模型定期提供给所述评估中心；
所述标准化管理，包括：性能管理、配置管理、账务管理、故障管理和安全管理。
根据本申请提供的面向算网一体化场景的智慧营维系统，所述统一业务管理模块，包括：业务模型管理单元和业务流程管理单元；
所述业务流程管理单元，用于统一管理算网一体化场景下的业务流程；
所述业务模型管理单元，由物理层、虚拟化层、云管理层、行业云平台层和业务应用层五层标准化业务模型管理层组成，用于分层管理算网一体化场景下的业务模型；
其中，所述物理层、虚拟化层、云管理层、行业云平台层和业务应用层分别用于管理与硬件设备、虚拟化软件、多云管理软件、综合化管理软件和业务应用软件相关的业务模型。
根据本申请提供的面向算网一体化场景的智慧营维系统，所述硬件设备，包括：X86服务器、ARM服务器、网络设备和防火墙；
所述虚拟化软件，包括：Hypervisor、KVM、xen、docker和SDN；
所述多云管理软件，包括：OpenStack、Vmware和K8S；
所述综合化管理软件，包括：公有云、私有云、网络云和边缘云；
所述业务应用软件，包括：NFV VNF包、PAAS应用和SAAS应用。
根据本申请提供的面向算网一体化场景的智慧营维系统，所述评估中心面向评估对象，所述评估中心，包括：场景一事一案模块、智慧AI管理模块、业务资产管理模块、案例库和运维库；
其中，所述运维库，用于存放所述营维中心提供的算网一体化业务数据及其对应的业务模型；
所述场景一事一案模块，用于基于所述算网一体化业务数据对应的业务模型以及案例库中存储的场景专题回溯视图，对所述算网一体化业务数据进行场景案例分析，对应得到场景化案例和场景专题回溯视图；还用于将得到的场景化案例存放在案例库中，并将案例库中存储的场景专题回溯视图更新为所述得到的场景专题回溯视图；
所述智慧AI管理模块，用于利用标注和训练的方式从所述场景化案例中挖掘出业务资产数据；
所述业务资产管理模块，用于分类管理业务资产数据。
根据本申请提供的面向算网一体化场景的智慧营维系统，所述业务资产数据，包括：规则类业务资产数据、策略类业务资产数据、知识类业务资产 数据和AI知识库类业务资产数据；
所述场景专题回溯视图，包括：告警趋势回溯视图、雷达统计回溯视图和实时流水列表回溯视图；
其中，所述规则类业务资产数据，包括：告警规则、派单规则、关联规则和资产数据核查规则；
所述策略类业务资产数据，包括：告警延迟派单策略、告警策略、打包策略、数据采集策略和监测回滚策略；
所述知识类业务资产数据，包括：网络设备历史健康度、告警处理经验和局数据参数配置；
所述AI知识库类业务资产数据，包括：文本识别库、语音识别库和图像识别库。
根据本申请提供的面向算网一体化场景的智慧营维系统，所述实训中心面向融合对象；所述实训中心，包括：算网数字化孪生模块、运营支撑业务设计模块、数字沙盘模拟演练模块和策略库；
其中，所述算网数字化孪生模块，用于基于策略库中存储的业务模型，以及统一业务管理模块的管理数据、标准化管理模块的管理数据和所述算网一体化业务数据，对营维中心进行算网数字化孪生以得到营维中心对应的虚拟算网；
所述运营支撑业务设计模块，用于基于已上线的算网一体化业务对应的业务资产数据，为已上线的算网一体化业务对应的算网一体化场景设计业务模型和业务流程；
所述数字沙盘模拟演练模块，用于利用虚拟算网和已上线的算网一体化业务对应的算网一体化业务数据，仿真验证所述为已上线的算网一体化业务对应的算网一体化场景设计的业务模型和业务流程；还用于在仿真验证通过后，利用虚拟算网以及与已上线的算网一体化业务对应的算网一体化场景相关的场景化案例，对所述为已上线的算网一体化业务对应的算网一体化场景设计的业务模型和业务流程进行回溯验证；还用于在回溯验证满足预期时将 所述为已上线的算网一体化业务对应的算网一体化场景设计的业务模型和业务流程作为相应算网一体化场景下的业务模型和业务流程向营维中心和策略库发布，在仿真验证未通过或者回溯验证未满足预期时告知运营支撑业务设计模块重新设计；
所述策略库，用于存储最新发布的算网一体化场景下的业务模型和业务流程。
根据本申请提供的面向算网一体化场景的智慧营维系统，所述运营支撑业务设计模块，还用于为未上线的算网一体化业务对应的算网一体化场景设计业务模型和业务流程。
根据本申请提供的面向算网一体化场景的智慧营维系统，所述数字沙盘模拟演练模块，还用于利用虚拟算网，仿真验证所述为未上线的算网一体化业务对应的算网一体化场景设计的业务模型和业务流程，在仿真验证通过时将所述为未上线的算网一体化业务对应的算网一体化场景设计的业务模型和业务流程作为相应算网一体化场景下的业务模型和业务流程向营维中心和策略库发布，并在仿真验证未通过时告知运营支撑业务设计模块重新设计。
根据本申请提供的面向算网一体化场景的智慧营维系统，所述算网一体化业务对象，包括：一线代维、政企租户和运维监控租户；
所述评估对象，包括：资产评估师、业务评估师、AI分析师和数据工程师；
所述融合对象，包括：业务管理员、运维管理专家和平台管理员。
第二方面，本申请实施例提供一种面向算网一体化场景的智慧营维系统的应用方法，所述方法包括：
营维中心根据算网一体化场景下的业务模型和业务流程实现面向算网一体化业务对象的营维合一运行，并将运行过程中产生的算网一体化业务数据提供给评估中心；
评估中心对所述算网一体化业务数据进行挖掘，以生成业务资产数据；
实训中心利用所述业务资产数据推演算网一体化场景下的业务模型和业 务流程，并发布给所述营维中心，以使所述营维中心更新算网一体化场景下的业务模型和业务流程。
本申请提供的一种面向算网一体化场景的智慧营维系统及其应用方法，面向算网一体化场景应用需求设计了营维中心、实训中心和评估中心；营维中心利用预先分发的业务模型实现对云计算和NFV/SDN网络的规划管理，并利用预先分发的业务流程，将生产环节贯穿起来以应对云业务与网业务融合场景下的营维需求；实训中心和评估中心，利用营维中心运行过程中产生的算网一体化业务数据，并将专家经验沉淀到软件层面上加以利用，制定出统一规范的业务模型和业务流程，并分发给营维中心以更新营维中心的业务模型和业务流程，实现闭环。该系统满足了引入NFV技术和SDN技术的网络与云计算紧密结合的运作模式下客户对数据实时性以及网络管理的稳定性、定制化和敏捷性的要求。
附图说明
为了更清楚地说明本申请或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作一简单地介绍，显而易见地，下面描述中的附图是本申请的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1是本申请提供的算网一体化场景的智慧营维系统结构图；
图2是本申请提供的业务模型管理单元结构示意图；
图3是本申请提供的已上线的算网一体化业务对应的算网一体化场景下的业务模型和业务流程推演流程图；
图4是本申请提供的未上线的算网一体化业务对应的算网一体化场景下的业务模型和业务流程推演流程图；
图5是本申请提供的面向算网一体化场景的智慧营维系统的应用方法的流程示意图。
具体实施方式
为使本申请的目的、技术方案和优点更加清楚，下面将结合本申请中的附图，对本申请中的技术方案进行清楚、完整地描述，显然，所描述的实施例是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
下面结合图1～图5描述本申请提供的面向算网一体化场景的智慧营维系统及其应用方法。
第一方面，如图1所示，本申请提供的面向算网一体化场景的智慧营维系统，包括：营维中心、评估中心和实训中心；
应对网络运营支撑领域的IT建设方法一直沿用电信管理网(TMN)体系结构，与当前网络运营管理模式逐步脱节，无法满足运营商多样化生产实践需求的问题，本申请在现有在网运行的TMN管理功能(FCAPS)的基础上演进得到营维中心，新增实训中心和评估中心，以此构建一套智慧营维体系结构，满足5G时代和6G时代对网络动态资源的管理需求、政企租户业务与网络一致性运维管理要求以及开放网络能力下的多角色参与需求。
其中，所述营维中心，用于根据算网一体化场景下的业务模型和业务流程实现面向算网一体化业务对象的营维合一运行，并将运行过程中产生的算网一体化业务数据提供给所述评估中心；
营维中心直接对接算网一体化业务对象，每一个算网一体化业务对象都有对应的算网一体化业务，每一个算网一体化业务对应一个算网一体化场景；本申请通过统一管理各个算网一体化场景下的业务模型和业务流程，为各个算网一体化业务对象提供营维合一服务(运营服务和运维服务的结合)，以实现营维中心的营维合一运行；营维中心运行过程中产生的算网一体化业务数据提供给评估中心，以使评估中心用来训练、分析与管理。
可以理解的是，营维合一服务，例如负责算网一体化业务对象的相关数据采集、同步操作以及业务流转处理等，具体来讲即为完成如告警采集、性 能采集、历史数据同步、设备指令激活、故障恢复等操作；
需要说明的一点是，业务流程是由业务规则和业务策略组成的能实现特定的价值目标的一系列活动；其中业务规则，例如故障派单规则、资源数据质量核查规则、性能阈值门限规则、优化开通逻辑规则、运维流程环节规则、安全管控操作流程规则等。业务策略是对于业务规则的针对性动作。
业务模型是记录对应算网一体化场景的物理资源网络拓扑、显示模板和/或管理模板配置信息的模型。
所述评估中心，用于对所述算网一体化业务数据进行挖掘，以生成业务资产数据；
评估中心负责对营维中心产生的算网一体化业务数据进行一事一案管理，得到场景化案例；以及对场景化案例进行智能标注、训练和优化，逐步形成告警关联规则、故障处理知识、资源数据核查知识、历史场景经验等业务资产数据；
所述实训中心，用于利用所述业务资产数据推演算网一体化场景下的业务模型和业务流程，并发布给所述营维中心，以使所述营维中心更新算网一体化场景下的业务模型和业务流程。
实训中心根据评估中心分析产生的业务资产数据进行算网一体化场景下业务模型和业务流程的设计与加工，然后对设计出的业务模型和业务流程进行模拟验证和回溯验证，以推演出算网一体化场景下的业务模型和业务流程，并同步给营维中心进行在线应用发布，以使营维中心更新算网一体化场景下的业务模型和业务流程，支持营维中心接下来的运营、运维。
其中，模拟验证和回溯验证的基础是同步营维中心的网络资源数据形成NFV数据中心、SDN化网络的算网数字化孪生。
可以理解的是，本申请面向算网一体化场景的智慧营维系统，是在既有的TMN体系结构基础上，参照运营商业务实际情况以及为迎接6G新技术的到来而构建的一套全新的IT体系架构。其面向云计算、NFV/SDN网络一体化运营运维模式，并具备以统一的业务模型驱动管理、智慧化的设计编排评 估方式以及多角色作业流水线参与的特色。
本申请提供的面向算网一体化场景的智慧营维系统，面向算网一体化场景应用需求设计了营维中心、实训中心和评估中心；营维中心利用预先分发的业务模型实现对云计算和NFV/SDN网络的规划管理，并利用预先分发的业务流程，将生产环节贯穿起来以应对云业务与网业务融合场景下的营维需求；实训中心和评估中心，利用营维中心运行过程中产生的算网一体化业务数据，并将专家经验沉淀到软件层面上加以利用，制定出统一规范的业务模型和业务流程，并分发给营维中心以更新营维中心的业务模型和业务流程，实现闭环。满足了引入NFV技术和SDN技术的网络与云计算紧密结合的运作模式下客户对数据实时性以及网络管理的稳定性、定制化和敏捷性的要求。
在上述各实施例的基础上，作为一种可选的实施例，所述营维中心还用于在将所述算网一体化业务数据提供给所述评估中心的同时，将所述算网一体化业务数据对应的业务模型同步提供给所述评估中心；
可以理解的是，评估中心对营维中心产生的算网一体化业务数据进行一事一案管理时，必然需要参考相应算网一体化场景下的业务模型对算网一体化业务数据进行案例化分析，因此评估中心同样需要得到算网一体化业务数据对应的业务模型；
所述营维中心，包括：统一业务管理模块、多租户自服务门户模块、标准化管理模块和运行库；
其中，所述统一业务管理模块，用于对算网一体化场景下的业务模型和业务流程进行统一管理；
统一业务管理模块(OneData)支持对算网一体化业务场景下的业务模型和业务流程的统一增加、删除、修改、查询、导入、导出等操作。
同时，统一业务管理模块(OneData)中的业务模型为多租户自服务门户模块以及标准化管理模块(标准化管理-FCAPS)的构建、变更、管理等提供支持；同时，统一业务管理模块(OneData)中的业务流程为多租户自服务门户模块以及标准化管理模块(标准化管理-FCAPS)的业务处理逻辑提供支持。
此外，本申请将多租户自服务门户模块实现的功能(门户管理)和标准化管理模块实现的功能(故障管理、资源管理、性能管理、优化管理和运维管理)所需的业务流程和业务模型从分散式隔离式的管理模式向集中化、统一化管理模式转变，一方面能够解决各模块间受业务变更带来的离散适配影响，另一方面，方便通过IT手段业务模型和业务流程的动态变更。
所述标准化管理模块，用于根据所述业务流程实现算网一体化业务对象对应的算网一体化业务的运营处理和/或运维处理，得到相应的算网一体化业务数据；还用于在所述业务模型的支撑下利用所述算网一体化业务数据实现对智慧营维系统的标准化管理；
标准化管理模块，进行营维合一服务和标准化管理两部分工作，其中，营维合一服务即为利用业务流程实现对算网一体化业务的运营处理和/或运维处理的过程。标准化管理包括性能管理、配置管理、账务管理、故障管理、安全管理等基础内容，性能管理是对电信设备的性能和网络单元的有效性进行评估，并提出评价报告的一组功能，包括性能测试、性能分析和性能控制；配置管理对网络单元的配置，业务的投入，开/停业务等进行管理；账务管理是测试电信网中各种业务的使用情况，计算处理使用电信业务的应收费用，并对电信业务的收费过程提供支持；故障管理对电信网的运行情况异常和设备安装环境异常进行管理；包括告警监视、故障定位、故障校正和故障管理四个功能，安全管理主要提供对网络及网络设备进行安全保护的能力，主要有接入及用户权限的管理，安全审查及安全告警处理。
需要说明的是，性能管理、配置管理、账务管理、故障管理和安全管理所用到的业务模型由OneData模块进行统一管理。
此外，FCAPS会提供共性的服务能力，支撑多租户自服务门户的使用。
所述多租户自服务门户模块，用于为每一个算网一体化业务对象设置一个虚拟分区，以实现不同算网一体化业务对象的数据隔离；还用于调用与算网一体化业务对象定制化需求相适配的业务模型，并为所述业务模型填充数据，以实现算网一体化业务对象的定制化显示；
多租户自服务门户模块，考虑内外部安全和用户个性化需求，营维中心构建面向用户的集中租户门户，支撑一线代维、客户运营运维、政企租户运维等多种角色的使用。多租户门户为各个租户设置虚拟分区，保障各个租户数据的隔离性，同时在OneData的业务模型驱动下，抽取标准化管理-FCAPS中开放的API服务能力、数据服务能力、界面视图服务能力，根据客户的真是生产需求，整合为面向场景的专题应用视图，包括日常管理视图、接待演示视图、重大活动保障视图、客户自助服务视图；即完成定制化显示。
所述运行库，用于存储来自标准化管理模块的算网一体化业务数据，以及从统一业务管理模块调用所述算网一体化业务数据对应的业务模型；还用于将所述算网一体化业务数据及其对应的业务模型定期提供给所述评估中心；
标准化管理模块产生的算网一体化业务数据均存放在运行库中，并运行库定期算网一体化业务数据及其对应的业务模型同步给评估中心。
所述标准化管理，包括：性能管理、配置管理、账务管理、故障管理和安全管理。
在上述各实施例的基础上，作为一种可选的实施例，所述统一业务管理模块，包括：业务模型管理单元和业务流程管理单元；
所述业务流程管理单元，用于统一管理算网一体化场景下的业务流程；
本申请在业务流程方面，业务流程管理单元具备对故障、资源、性能、优化、运维、运营、安全等业务流程的管理能力。
所述业务模型管理单元，由物理层、虚拟化层、云管理层、行业云平台层和业务应用层五层标准化业务模型管理层组成，用于分层管理算网一体化场景下的业务模型；
其中，所述物理层、虚拟化层、云管理层、行业云平台层和业务应用层分别用于管理与硬件设备、虚拟化软件、多云管理软件、综合化管理软件和业务应用软件相关的业务模型。
本申请在业务模型管理方面，设置了五层标准化模型管理层，即物理层、虚拟化层(容器化层)、云管理层、行业云平台层和业务应用层；以实现对业 务模型的分层管理；当然每一个业务模型都有其对应的标签(例如算网一体化场景编号)以便调用业务模型。
通过将云计算业务下IAAS、PAAS、SAAS模型与NFV、SDN网络设备的模型进行标准化、统一化管理，拉齐运营与运维领域的模型能力，实现基于业务模型驱动的统一管理模式。
在上述各实施例的基础上，作为一种可选的实施例，所述硬件设备，包括：X86服务器、ARM服务器、网络设备和防火墙；
所述虚拟化软件，包括：Hypervisor、KVM、xen、docker和SDN；
所述多云管理软件，包括：OpenStack、Vmware和K8S；
所述综合化管理软件，包括：公有云、私有云、网络云和边缘云；
所述业务应用软件，包括：NFV VNF包、PAAS应用和SAAS应用。
图2提供了业务模型管理单元结构示意图，如图2所示，物理层管理范围包括X86服务器、ARM服务器、网络设备、防火墙等；虚拟化层管理范围包括Hypervisor、KVM、xen、docker、SDN等；云管理层管理范围包括OpenStack、VMware、K8S；行业云平台层管理范围包括公有云、私有云、网络云、边缘云；业务应用层管理范围包括NFV VNF包、PAAS应用、SAAS应用。
在上述各实施例的基础上，作为一种可选的实施例，所述评估中心面向评估对象，所述评估中心，包括：场景一事一案模块、智慧AI管理模块、业务资产管理模块、案例库和运维库；
其中，所述运维库，用于存放所述营维中心提供的算网一体化业务数据及其对应的业务模型；
所述场景一事一案模块，用于基于所述算网一体化业务数据对应的业务模型以及案例库中存储的场景专题回溯视图，对所述算网一体化业务数据进行场景案例分析，对应得到场景化案例和场景专题回溯视图；还用于将得到的场景化案例存放在案例库中，并将案例库中存储的场景专题回溯视图更新为所述得到的场景专题回溯视图；
场景一事一案模块，提取运维库中的算网一体化业务数据及其对应的业务模型，业务评估师根据算网一体化业务数据对应的业务模型以及案例库之前存储的场景专题回溯视图，对算网一体化业务数据进行场景案例化分析，从时间范围、网元范围、空间范围、资源关系范围、设备类型范围等方面提取场景业务数据，以得到场景化案例，并将场景化案例存放到单独的案例库中。
同时，在场景案例分析过程中重新生成场景专题回溯视图，以通过时间轴的方式回溯历史场景业务数据的具体情况，并更新案例库中的场景专题回溯视图。
所述智慧AI管理模块，用于利用标注和训练的方式从所述场景化案例中挖掘出业务资产数据；
智慧AI管理模块，针对形如告警、性能和资源等结构化数据对应的场景化案例，对场景化案例进行数据标注和拖拽式训练，用于挖掘网络运维运营过程数据中存在的隐形关系，如关联规则、阈值门限、动态变化基线等，得到规则类、策略类和知识类的业务资产数据；从而为实训中心提供生产验证支撑。
针对形如代维巡检照片，机房监控录像、通话语音记录等非结构化数据对应的场景化案例，对场景化案例进行数据标注以及训练，用来识别网络运维运营过程数据中存在的AI场景能力，如语音识别能力、文本上下文分析能力等，得到AI知识库类业务资产数据；从而为实训中心提供生产验证支撑。
所述业务资产管理模块，用于分类管理业务资产数据。
业务资产管理管理模块，实现对运维、运营过程中产生的高价值业务数据的有效管理，具备对该类数据的统一存储、更新、开放功能，数据范围包括规则类(如告警派单规则、关联规则、资源数据核查规则)、策略类(如告警延迟派单策略、告警策略、打包策略、数据采集策略和监控回滚策略)、知识类数据(如网络设备历史健康度、告警处理经验、局数据参数配置)、AI知识库(如文本识别库、语音识别库和图像识别库)，支撑智慧营维中心形成 有效的业务数据资产管理手段，更多发挥业务数据的价值。
在上述各实施例的基础上，作为一种可选的实施例，所述业务资产数据，包括：规则类业务资产数据、策略类业务资产数据、知识类业务资产数据和AI知识库类业务资产数据；
所述场景专题回溯视图，包括：告警趋势回溯视图、雷达统计回溯视图和实时流水列表回溯视图；
其中，所述规则类业务资产数据，包括：告警规则、派单规则、关联规则和资产数据核查规则；
所述策略类业务资产数据，包括：告警延迟派单策略、告警策略、打包策略、数据采集策略和监测回滚策略；
所述知识类业务资产数据，包括：网络设备历史健康度、告警处理经验和局数据参数配置；
所述AI知识库类业务资产数据，包括：文本识别库、语音识别库和图像识别库。
在上述各实施例的基础上，作为一种可选的实施例，所述实训中心面向融合对象；所述实训中心，包括：算网数字化孪生模块、运营支撑业务设计模块、数字沙盘模拟演练模块和策略库；
其中，所述算网数字化孪生模块，用于基于策略库中存储的业务模型，以及统一业务管理模块的管理数据、标准化管理模块的管理数据和所述算网一体化业务数据，对营维中心进行算网数字化孪生以得到营维中心对应的虚拟算网；
算网数字化孪生模块，通过同步营维中心的管理数据，利用OneData提供的业务模型(也可以理解为云、网物理模型)叠加营维中心运行过程中数据，集成多学科、多物理量、多尺度、多概率的仿真过程，在虚拟空间中完成对现实世界云计算与网络的映射，从而反映相对应的云、网的全生命周期过程，支撑数字化沙盘模拟演练和运营支撑业务设计的仿真设计过程。
所述运营支撑业务设计模块，用于基于已上线的算网一体化业务对应的 业务资产数据，为已上线的算网一体化业务对应的算网一体化场景设计业务模型和业务流程；
运营支撑业务设计模块，进行传统的业务设计工作，资深专家借鉴资源处理经验、性能处理经验、运维处理经验、故障处理经验、优化处理经验和编排处理经验等知识经验，并通过线下梳理、设计形成业务场景方案。本申请将传统的线下梳理、线下设计的工作和过程提取到线上完成，其中业务设计内容包括UI界面、运维流程和服务能力等。其中，业务场景包括，资源管理场景、性能管理场景、运维管理场景、故障管理场景、优化管理场景和编排场景管理。
所述数字沙盘模拟演练模块，用于利用虚拟算网和已上线的算网一体化业务对应的算网一体化业务数据，仿真验证所述为已上线的算网一体化业务对应的算网一体化场景设计的业务模型和业务流程；还用于在仿真验证通过后，利用虚拟算网以及与已上线的算网一体化业务对应的算网一体化场景相关的场景化案例，对所述为已上线的算网一体化业务对应的算网一体化场景设计的业务模型和业务流程进行回溯验证；还用于在回溯验证满足预期时将所述为已上线的算网一体化业务对应的算网一体化场景设计的业务模型和业务流程作为相应算网一体化场景下的业务模型和业务流程向营维中心和策略库发布，在仿真验证未通过或者回溯验证未满足预期时告知运营支撑业务设计模块重新设计；
图3提供了已上线的算网一体化业务对应的算网一体化场景下的业务模型和业务流程推演流程图，由图3可看出，对于已上线的算网一体化业务，数字沙盘模拟演练模块结合算网数字化孪生生成的虚拟算网，通过加载该业务相关的历史数据，重演该业务相关的历史事件，仿真验证运营支撑业务设计模块为该业务设计的业务流程和业务模型，如果验证通过则再利用该业务相关的场景案例，回溯验证所述业务流程和业务模型，当回溯验证通过后，将所述业务流程和业务模型同步给营维中心，并存放在策略库中。否则，向运营支撑业务设计模块返回相应的仿真验证过程数据和回溯验证过程数据， 以使运营支撑业务设计模块重新调整所述业务流程和业务模型，并再次进行仿真验证和回溯验证，直至其通过回溯验证。
所述策略库，用于存储最新发布的算网一体化场景下的业务模型和业务流程。
在上述各实施例的基础上，作为一种可选的实施例，所述运营支撑业务设计模块，还用于为未上线的算网一体化业务对应的算网一体化场景设计业务模型和业务流程。
当新业务上线，且现有的业务流程无法满足生产使用时，需要实训中心的运营支撑业务设计模块设计新业务的业务流程和业务模型(需要注意新业务的业务流程和业务模型不得与现网中已存在的业务流程和业务模型相冲突)，以支撑新业务上线生产使用。
可以看出，本申请将传统的运维、运营场景的线下设计工作转移到线上操作，将传统的存留在专家脑海的知识经验显性化存放在IT软件功能中，实现运营、运维管理的在线化、闭环化模式。
在上述各实施例的基础上，作为一种可选的实施例，所述数字沙盘模拟演练模块，还用于利用虚拟算网，仿真验证所述为未上线的算网一体化业务对应的算网一体化场景设计的业务模型和业务流程，在仿真验证通过时将所述为未上线的算网一体化业务对应的算网一体化场景设计的业务模型和业务流程作为相应算网一体化场景下的业务模型和业务流程向营维中心和策略库发布，并在仿真验证未通过时告知运营支撑业务设计模块重新设计。
图4提供了未上线的算网一体化业务对应的算网一体化场景下的业务模型和业务流程推演流程图，由图4可看出，运营支撑业务设计模块设计的新业务的业务流程和业务模型，需要实训中心的数字沙盘模拟演练模块进行仿真验证，当通过仿真验证确认新业务的业务流程和业务模型可行后，将新业务的业务流程和业务模型同步给营维中心，并存放在策略库中。营维中心用以支撑新业务上线生产使用。否则，向运营支撑业务设计模块返回相应的仿真验证过程数据，以使运营支撑业务设计模块重新调整所述业务流程和业务 模型，并再次进行仿真验证，直至其通过仿真验证。
本申请通过IT手段实现新业务的业务流程和业务模型的发现和验证，如5G专网、5G切片、社会化基站、OpenUPF和消息中心等新业务。IT技术手段包括：通过采集全量实时的网络资源数据，构建的算网数字化孪生；通过针对历史数据进行智慧AI标注和挖掘分析，寻找到初数据之间的隐性关系即规则和策略，以设计业务流程和业务模型，再通过可视化界面的场景回溯手段进一步验证业务流程和业务模型，通过算网数字化孪生更显性化明确业务流程和业务模型。
在上述各实施例的基础上，作为一种可选的实施例，所述算网一体化业务对象，包括：一线代维、政企租户和运维监控租户；
所述评估对象，包括：资产评估师、业务评估师、AI分析师和数据工程师；
所述融合对象，包括：业务管理员、运维管理专家和平台管理员。
网络规模的逐步扩大，运维、运营团队人员逐步增多，分层营维管理将是主要趋势。传统营维角色主要是运营人员、运维人员等相对专业化、单一化角色；而本申请通过多角色作业流水线方式，扩展人员团队角色内涵，将数据工程师、AI工程师、资产管理员等角色融合到统一的软件平台，所有人分工协作，形成营维工作作业流水线，即智慧营维系统进行用户角色设置，营维中心主要定位给算网一体化业务对象(也可称为应用角色)包括内部用户如一线代维、运维监控租户(省监控租户运维)等，外部用户如政企租户(政企客户租户)；评估中心主要定位给评估对象(也可称为评估角色)使用，如资产评估师、业务评估师、AI分析师、数据工程师。实训中心主要定位给融合对象(也可称为融合角色)使用，如新入职员工、业务管理员、运维管理专家、平台管理员。
本申请通过将网络营维角色范围从运维角色、运营角色扩展到政企客户运维角色、AI工程师、数据工程师、业务管理员、资产评估师、业务评估师、AI分析师等多种角色，解决了传统的TMN体系不支持软件设计、开发人员 等角色参与的问题。
需要注意的是，本申请智慧营维系统内部接口支持TOSCA标准，TOSCA作为开放云的标准，是由OASIS组织制定，多家全球知名的IT公司联合参与，已经成为国际通用的行业规范而被广泛使用。TOSCA支持JSON、YAML、XML描述资源的结构，并称为拓扑模板(Topology Template)。TOSCA拓扑模板用来定义云应用的各组件的交互及体系，包括组件，组件间的关系/依赖，及其需求及容量，并最终打包成CSARs格式的压缩包，从而允许跨云平台的自动化管理以及迁移。
智慧营维系统内部接口该支持FTP或者SFTP协议，服务端提供可以获取资源性能数据的FTP server，客户端为FTP client。服务端将数据文件放到FTP server上，客户端自行采集数据文件。服务端系统负责FTP文件的生成、保存和删除，供FTP client获取。
智慧营维系统内部接口格式遵循RESTful API风格，传输协议采用HTTP1.1(HTTP协议版本，SSL/TLS协议版本)，传输内容需采用UTF-8无BOM格式编码。
本申请随着运营商业务的复杂程度越来越高，面向运营支撑业务的管理体系已无法满足日益增长的特色化需求，导致运营支撑内容建设愈来愈多，但从体系上、演进思路上来看，系统架构能力反倒愈加脆弱，成本投资与产出不相匹配。这种现象在大型运营商运营支撑领域普遍存在。因而面向算网一体化的智慧营维体系在既保证现有IT系统演进的基础上，同时开创出新的IT能力，满足未来云与网一体化场景应用需求。同时，传统IT系统建设基本采用烟囱式架构管理，存在接口无法复用，系统间业务、数据隔离的情况，无法统一对外支撑业务发展等现象，新型的运营支撑体系设定合理业务领域，构建相对独立且松耦合的IT能力，并制定标准规范接口体系，符合未来运营支撑业务领域发展趋势。
第二方面，对本申请提供的面向算网一体化场景的智慧营维系统的应用方法进行描述，下文描述的面向算网一体化场景的智慧营维系统的应用方法 与上文描述的面向算网一体化场景的智慧营维系统可相互对应参照。图5示例了面向算网一体化场景的智慧营维系统的应用方法的流程示意图，如图5所述，该方法包括：
S11、营维中心根据算网一体化场景下的业务模型和业务流程实现面向算网一体化业务对象的营维合一运行，并将运行过程中产生的算网一体化业务数据提供给评估中心；
S12、评估中心对所述算网一体化业务数据进行挖掘，以生成业务资产数据；
S13、实训中心利用所述业务资产数据推演算网一体化场景下的业务模型和业务流程，并发布给所述营维中心，以使所述营维中心更新算网一体化场景下的业务模型和业务流程。
本申请提供的面向算网一体化场景的智慧营维系统的应用方法，面向算网一体化场景应用需求设计了营维中心、实训中心和评估中心；营维中心利用预先分发的业务模型实现对云计算和NFV/SDN网络的规划管理，并利用预先分发的业务流程，将生产环节贯穿起来以应对云业务与网业务融合场景下的营维需求；实训中心和评估中心，利用营维中心运行过程中产生的算网一体化业务数据，并将专家经验沉淀到软件层面上加以利用，制定出统一规范的业务模型和业务流程，并分发给营维中心以更新营维中心的业务模型和业务流程，实现闭环。满足了引入NFV技术和SDN技术的网络与云计算紧密结合的运作模式下客户对数据实时性以及网络管理的稳定性、定制化和敏捷性的要求。
以上所描述的系统实施例仅仅是示意性的，其中所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部模块来实现本实施例方案的目的。本领域普通技术人员在不付出创造性的劳动的情况下，即可以理解并实施。
通过以上的实施方式的描述，本领域的技术人员可以清楚地了解到各实施方式可借助软件加必需的通用硬件平台的方式来实现，当然也可以通过硬件。基于这样的理解，上述技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品可以存储在计算机可读存储介质中，如ROM/RAM、磁碟、光盘等，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行各个实施例或者实施例的某些部分所述的方法。
最后应说明的是：以上实施例仅用以说明本申请的技术方案，而非对其限制；尽管参照前述实施例对本申请进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本申请各实施例技术方案的精神和范围。

Claims (11)

  1. 一种面向算网一体化场景的智慧营维系统，所述系统包括：营维中心、评估中心和实训中心；
    其中，所述营维中心，用于根据算网一体化场景下的业务模型和业务流程实现面向算网一体化业务对象的营维合一运行，并将运行过程中产生的算网一体化业务数据提供给所述评估中心；
    所述评估中心，用于对所述算网一体化业务数据进行挖掘，以生成业务资产数据；
    所述实训中心，用于利用所述业务资产数据推演算网一体化场景下的业务模型和业务流程，并发布给所述营维中心，以使所述营维中心更新算网一体化场景下的业务模型和业务流程。
  2. 根据权利要求1所述的面向算网一体化场景的智慧营维系统，其中，所述营维中心还用于在将所述算网一体化业务数据提供给所述评估中心的同时，将所述算网一体化业务数据对应的业务模型同步提供给所述评估中心；
    所述营维中心，包括：统一业务管理模块、多租户自服务门户模块、标准化管理模块和运行库；
    其中，所述统一业务管理模块，用于对算网一体化场景下的业务模型和业务流程进行统一管理；
    所述标准化管理模块，用于根据所述业务流程实现算网一体化业务对象对应的算网一体化业务的运营处理和/或运维处理，得到相应的算网一体化业务数据；还用于在所述业务模型的支撑下利用所述算网一体化业务数据实现对智慧营维系统的标准化管理；
    所述多租户自服务门户模块，用于为每一个算网一体化业务对象设置一个虚拟分区，以实现不同算网一体化业务对象的数据隔离；还用于调用与算网一体化业务对象定制化需求相适配的业务模型，并为所述业务模型填充数据，以实现算网一体化业务对象的定制化显示；
    所述运行库，用于存储来自标准化管理模块的算网一体化业务数据，以及从统一业务管理模块调用所述算网一体化业务数据对应的业务模型；还用于将所述算网一体化业务数据及其对应的业务模型定期提供给所述评估中心；
    所述标准化管理，包括：性能管理、配置管理、账务管理、故障管理和安全管理。
  3. 根据权利要求2所述的面向算网一体化场景的智慧营维系统，其中，所述统一业务管理模块，包括：业务模型管理单元和业务流程管理单元；
    所述业务流程管理单元，用于统一管理算网一体化场景下的业务流程；
    所述业务模型管理单元，由物理层、虚拟化层、云管理层、行业云平台层和业务应用层五层标准化业务模型管理层组成，用于分层管理算网一体化场景下的业务模型；
    其中，所述物理层、虚拟化层、云管理层、行业云平台层和业务应用层分别用于管理与硬件设备、虚拟化软件、多云管理软件、综合化管理软件和业务应用软件相关的业务模型。
  4. 根据权利要求3所述的面向算网一体化场景的智慧营维系统，其中，所述硬件设备，包括：X86服务器、ARM服务器、网络设备和防火墙；
    所述虚拟化软件，包括：Hypervisor、KVM、xen、docker和SDN；
    所述多云管理软件，包括：OpenStack、Vmware和K8S；
    所述综合化管理软件，包括：公有云、私有云、网络云和边缘云；
    所述业务应用软件，包括：NFV VNF包、PAAS应用和SAAS应用。
  5. 根据权利要求2所述的面向算网一体化场景的智慧营维系统，其中，所述评估中心面向评估对象，所述评估中心，包括：场景一事一案模块、智慧AI管理模块、业务资产管理模块、案例库和运维库；
    其中，所述运维库，用于存放所述营维中心提供的算网一体化业务数据及其对应的业务模型；
    所述场景一事一案模块，用于基于所述算网一体化业务数据对应的业务模型以及案例库中存储的场景专题回溯视图，对所述算网一体化业务数据进 行场景案例分析，对应得到场景化案例和场景专题回溯视图；还用于将得到的场景化案例存放在案例库中，并将案例库中存储的场景专题回溯视图更新为所述得到的场景专题回溯视图；
    所述智慧AI管理模块，用于利用标注和训练的方式从所述场景化案例中挖掘出业务资产数据；
    所述业务资产管理模块，用于分类管理业务资产数据。
  6. 根据权利要求5所述的面向算网一体化场景的智慧营维系统，其中，所述业务资产数据，包括：规则类业务资产数据、策略类业务资产数据、知识类业务资产数据和AI知识库类业务资产数据；
    所述场景专题回溯视图，包括：告警趋势回溯视图、雷达统计回溯视图和实时流水列表回溯视图；
    其中，所述规则类业务资产数据，包括：告警规则、派单规则、关联规则和资产数据核查规则；
    所述策略类业务资产数据，包括：告警延迟派单策略、告警策略、打包策略、数据采集策略和监测回滚策略；
    所述知识类业务资产数据，包括：网络设备历史健康度、告警处理经验和局数据参数配置；
    所述AI知识库类业务资产数据，包括：文本识别库、语音识别库和图像识别库。
  7. 根据权利要求5所述的面向算网一体化场景的智慧营维系统，其中，所述实训中心面向融合对象；所述实训中心，包括：算网数字化孪生模块、运营支撑业务设计模块、数字沙盘模拟演练模块和策略库；
    其中，所述算网数字化孪生模块，用于基于策略库中存储的业务模型，以及统一业务管理模块的管理数据、标准化管理模块的管理数据和所述算网一体化业务数据，对营维中心进行算网数字化孪生以得到营维中心对应的虚拟算网；
    所述运营支撑业务设计模块，用于基于已上线的算网一体化业务对应的 业务资产数据，为已上线的算网一体化业务对应的算网一体化场景设计业务模型和业务流程；
    所述数字沙盘模拟演练模块，用于利用虚拟算网和已上线的算网一体化业务对应的算网一体化业务数据，仿真验证所述为已上线的算网一体化业务对应的算网一体化场景设计的业务模型和业务流程；还用于在仿真验证通过后，利用虚拟算网以及与已上线的算网一体化业务对应的算网一体化场景相关的场景化案例，对所述为已上线的算网一体化业务对应的算网一体化场景设计的业务模型和业务流程进行回溯验证；还用于在回溯验证满足预期时将所述为已上线的算网一体化业务对应的算网一体化场景设计的业务模型和业务流程作为相应算网一体化场景下的业务模型和业务流程向营维中心和策略库发布，在仿真验证未通过或者回溯验证未满足预期时告知运营支撑业务设计模块重新设计；
    所述策略库，用于存储最新发布的算网一体化场景下的业务模型和业务流程。
  8. 根据权利要求7所述的面向算网一体化场景的智慧营维系统，其中，所述运营支撑业务设计模块，还用于为未上线的算网一体化业务对应的算网一体化场景设计业务模型和业务流程。
  9. 根据权利要求8所述的面向算网一体化场景的智慧营维系统，其中，所述数字沙盘模拟演练模块，还用于利用虚拟算网，仿真验证所述为未上线的算网一体化业务对应的算网一体化场景设计的业务模型和业务流程，在仿真验证通过时将所述为未上线的算网一体化业务对应的算网一体化场景设计的业务模型和业务流程作为相应算网一体化场景下的业务模型和业务流程向营维中心和策略库发布，并在仿真验证未通过时告知运营支撑业务设计模块重新设计。
  10. 根据权利要求7所述的面向算网一体化场景的智慧营维系统，其中，所述算网一体化业务对象，包括：一线代维、政企租户和运维监控租户；
    所述评估对象，包括：资产评估师、业务评估师、AI分析师和数据工程 师；
    所述融合对象，包括：业务管理员、运维管理专家和平台管理员。
  11. 一种面向算网一体化场景的智慧营维系统的应用方法，所述方法包括：
    营维中心根据算网一体化场景下的业务模型和业务流程实现面向算网一体化业务对象的营维合一运行，并将运行过程中产生的算网一体化业务数据提供给评估中心；
    评估中心对所述算网一体化业务数据进行挖掘，以生成业务资产数据；
    实训中心利用所述业务资产数据推演算网一体化场景下的业务模型和业务流程，并发布给所述营维中心，以使所述营维中心更新算网一体化场景下的业务模型和业务流程。
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