TWI676148B - A system of virtual and physical integrated network service fulfillment and monitor based on artificial intelligence - Google Patents

Abstract

The present invention discloses a system that integrates the provision of ICT services and the monitoring of virtual and real resources. The system mainly uses the establishment of a rule base and an information model to drive a process engine to complete the deployment and provision of services. The present invention provides a physical network, a virtual network, and a collaboration platform. Mixed multi-element heterogeneous cloud computing environment, through container standardized packaging architecture and application program interface architecture, provides a one-stop assembly and flexible supply technology for cloud services integration, making software-defined network and physical network configuration and service circuit dedicated lines seamless It is connected and assembled, and uses a universal execution configuration-driven service architecture to quickly analyze the topology of the service resource structure of the heterogeneous network. The third-party collaboration service is flexibly assembled and supplied through the information model specification, so it can be applied to telecom, IoT, Smart city, smart audio and video new generation product service life cycle stages.

Description

Integrate ICT service supply installation and virtual resource monitoring system

The invention relates to a technology for integrating, assembling and monitoring virtual and physical hybrid cloud services, and in particular, it refers to a system for intelligently integrating information and communication technology (ICT, Information and Communication Technology) service installation and monitoring of virtual and real resources.

In response to the development of future convergence law and full-service ultra-broadband convergence service development and related new services, cloud traffic for image messaging applications will grow explosively. Can system development energy keep pace with changes? Application program interface and digital fusion information communication service R & D The current deployment still lacks a complete and smooth production and application management framework. Traditional methods are used to slow down the hurdles. It is not possible to achieve the required flexibility. It is not possible to quickly and flexibly effectively improve the quality of integrated services and user experience. It supports heavy and volatile multimedia communications. Demand for integrated web services.

Regarding the above-mentioned changes, the integration and implementation of the new generation of emerging convergent services is complicated, tedious, and tedious, which has led to many large factories, heterogeneous function effect brands, poor integration of services and maintenance of multiple systems and platforms, etc. Many problems, for example, each time with the new purchasing brand SI personnel, equipment vendors, or the new interface system to discuss the use of the application program interface, optimize the interface specifications, customized specifications takes a lot of time, the interface specifications interface and interoperation There are many constraints and it is very difficult to achieve, and it is not easy to integrate with third-party development agencies or new services. In addition, at present, the traditional service installation process method and search process problems require a large number of professional manual intervention to explore the problem points, and can only find the cause of the problem one by one through the network element network management instructions for a single project. Need to learn to be familiar with the unique execution environment and operating instructions of many heterogeneous manufacturers, which also cannot quickly and efficiently deal with the problem of service installation.

From the above, if we can find a technology about the integrated assembly and monitoring of virtual and real hybrid cloud services, we look forward to improving the flexibility and efficiency of network resource network element scheduling composition and service component assembly and integration supply through statistics or data inference. It will become a technical problem that people in the technical field are eager to solve at present.

The purpose of the present invention is to implement algorithmic inference technology in this field by using statistical theory, data inference, and conditional probability to improve the flexibility and execution efficiency of network resource network element scheduling composition and service component assembly and integration supply. Improve system application intelligent efficiency and service assembly supply flexibility and efficiency.

In order to achieve the above or other objectives, the present invention proposes a system that integrates the provision of ICT services and the monitoring of virtual and real resources. The system includes: a shared information model management module that uses a multi-level information model architecture to integrate network elements and execution groups of the network. Status, operation settings and their connection and attribute data into multi-level Layer general information model to perform access operation model exchange; embedded visual container assembly and connection management module, which uses visual processes to assemble containers from multiple different fields one by one to complete the process path of integrated supply of virtual and real network services and The construction of the execution process: 俾 Assemble the network services and collaboration platforms or third-party developer services of the multi-heterogeneous use network environment into a composite service body; the intelligent diagnosis and prediction module for the root cause of obstacles uses a large amount of data to multi-dimensionally intersect Data analysis and terminal feedback, as well as detailed action information from the intelligent control process, its triggering events or situational awareness, and on-site terminal interaction results. Intelligent management and cross-platform comprehensive analysis to confirm the root cause of the problem, the scope of impact, and the nodes of the impact path. Event situation prediction; Massive data accuracy rate adjustment module, which performs a cyclic adjustment process, intelligently recalibrates inaccuracies through algorithmic inference and analysis of network components to improve the accuracy of event situation alarm judgment Accuracy hit rate; cloud snowflake active data The management module is a system that uses virtualized demand-dependent storage and snowflake-like data structures to store process execution procedures. The shared information model management module, the embedded visual container assembly connection management module, and the intelligent diagnosis and prediction model of the root cause of obstacles. Group and the massive data accuracy improvement module module module information and data during the operation of the module template, as well as remote output and remote access information through the remote command matrix; rule-driven process analysis and translation engine, based on software definition Designed rule base and knowledge base content, a clustered service operation engine that drives service business execution rules to control the shared information model management module, the embedded visual container assembly and connection management module, and the intelligent diagnosis of root cause of obstacles Prediction module, the mass data accuracy improvement adjustment module, and the cloud snowflake active data During the process of the management module, various types of calculation data and trigger events, separation of data management and operation, and transmission of information model information; an active aggregation-type dashboard device connected to the rule-driven process analysis and translation engine for interactive operations and information Feedback interaction to guide remote scene construction process situation and action details through real-time active push multimedia messages; and smart recognition gesture voice operation terminal device, which sends or receives multimedia messages through the smart recognition gesture voice operation terminal device. By sending back the edited digital information or perceiving multimedia messages to the rule-driven process parsing and translation engine, and through the instructions or assistance of the multimedia messages, the on-site operation process is completed.

In one embodiment, the shared information model management module is a multi-variable heterogeneous network platform for various types of uses, and the automatic analysis and execution of the execution unit are used to achieve cross-platform information analysis exchange and interoperability cooperation, and among them, the multiple Hierarchical general information model is an advanced step-by-step expander.

In another embodiment, the visual process refers to the intelligent judgment of machine learning using the visual process.

In yet another embodiment, the obstacle source intelligence diagnosis and prediction module uses information communication to integrate artificial intelligence, large amount of data analysis, and machine training and learning to improve the operational efficiency of the process and autonomously trigger and drive intelligent management and control.

In yet another embodiment, the obstacle source smart diagnosis judgment prediction module further diagnoses, summarizes, analyzes, and predicts the causes of execution unit execution and execution degradation or bottlenecks in the process, as well as the analysis of the root cause and scope of influence, as well as the analysis of geospatial neighborhoods to improve the operational efficiency of process programs. Precision.

In one embodiment, the algorithm inference includes the use of homogeneous group calculus. Method, multiple regression algorithm, decision tree algorithm, classification segmentation algorithm, and neighborhood analysis algorithm.

In addition, the mass data accuracy improvement adjustment module system uses a hierarchical algorithm set to improve the accuracy rate of the incident situation alarm judgment through intelligent management and control diagnosis and resolution process steps.

In yet another embodiment, the messages and data stored in the cloud snowflake active data management module include translation messages, relay commands, calculation result messages, digital analysis messages, and multimedia streaming data.

In yet another embodiment, the active aggregation type dashboard device combines different blocks and different themes on at least one remotely portable portable display device, wherein the at least one remotely portable portable display device is Several display blocks are displayed, and each display block is responsible for a computing theme, and the information of each display block is linked with other display blocks to form a hierarchical relationship.

In addition, the smart recognition gesture voice operation terminal device refers to a mobile wearable terminal smart device that can be quickly operated through gestures or voice input. The smart recognition gesture voice operation terminal device uses digital image or voice to input digital information over a long distance. A continuous image or speech semantic recognition analysis is performed through a command parsing translator to transform into at least one programmable execution signalling set matrix, thereby performing software-defined logic function operations.

Compared with the prior art, the present invention uses statistical theory and data inference and conditional probability to implement algorithmic inference technology in this field to improve the flexibility and execution efficiency of network resource network element scheduling composition and service component assembly and integration supply. Intelligent Benefits and Service Assembly of Machine Training and Learning Enhancement System Application Supply flexibility and efficiency. In addition, the active aggregation instrument panel device is connected to the smart recognition gesture voice operation terminal device, which can provide instructions or assistance for on-site operators' multimedia messages to complete the on-site operation process. This mechanism will make service installation and provision more efficient. benefit. Furthermore, the present invention uses the establishment of a rule base and an information model to drive the process engine to complete the deployment and provision of services, which mainly include the deployment, release, delivery, subscription, and life cycle management of a general virtual and real network service hybrid architecture. That is, the integration and supply of supervision and intelligent services of virtual and real network management equipment and execution configuration operation environment. Further, the present invention is a multi-element heterogeneous cloud computing environment mixed with a physical network, a virtual network, and a collaboration platform, and standardized through a container. Package architecture and application program interface architecture, providing a one-stop assembly and flexible supply technology for converging and integrating cloud services, allowing software-defined networks to be integrated with physical network configurations and service circuit leased lines. General-purpose execution configuration-driven service architecture , Quickly analyze the service resource structure topology of heterogeneous networks, and further complete the flexible assembly and supply of third-party collaboration services based on information model specifications, which will be applicable to the life cycle of new generation products of telematics, the Internet of Things, smart cities, and smart audiovisual products Stages.

1‧‧‧Integrated ICT service supply system and virtual resource monitoring system

11‧‧‧Rules-driven process analysis and translation engine

12‧‧‧Shared Information Model Management Module

13‧‧‧ Embedded Visual Container Assembly Link Management Module

14‧‧‧ Intelligent diagnosis and prediction module for root cause of obstacles

15‧‧‧ Massive data accuracy adjustment module

16‧‧‧Cloud Snowflake Active Data Management Module

17‧‧‧Smart recognition gesture voice operation terminal device

18‧‧‧ Active Converged Instrument Panel Device

301‧‧‧Program Control Management Unit

302‧‧‧ Perception Unit

303‧‧‧Measurement unit

304‧‧‧location unit

305‧‧‧Photography Unit

306‧‧‧Software-defined intelligence analysis unit

307‧‧‧control unit

308‧‧‧Exchange Unit

309‧‧‧ Forecast Unit

FIG. 1 is a system architecture diagram of a system integrating ICT service provisioning and virtual resource monitoring according to the present invention; FIG. 2 is an intelligent diagnosis and prediction module of root cause of obstacles in the system integrating ICT service provisioning and virtual resource monitoring of the present invention Schematic diagram of executing smart analysis execution procedures; Figure 3 is the integrated ICT service installation and virtual resource monitoring of the present invention Schematic diagram of the implementation of the visual flexible assembly process procedure of the embedded visual container assembly link management module in the system; Figure 4 is the intelligent diagnosis and prediction module for the root cause of obstacles in the system of integrating ICT service provisioning and virtual resource monitoring in the present invention An illustration of one of the bottleneck points in the process of analyzing the components of the optical network; Figure 5 is an intelligent diagnosis and prediction module for analyzing the root cause of obstacles in the system of integrating ICT service installation and virtual and real resource monitoring according to the present invention; analyzing the bottlenecks of the components of the optical network; Another example illustrates the point; and FIGS. 6A and 6B are execution charts of the intelligent management and control process of the present invention.

The technical content of the present invention will be described below with specific embodiments. Those skilled in the art can easily understand the advantages and effects of the present invention from the content disclosed in this specification. However, the present invention can also be implemented or applied in other specific embodiments.

The invention is directed to the field of intelligent service assembly, uses a new generation of specification container assembly management process architecture and a large amount of data analysis, induction and prediction, and artificial intelligence machine learning algorithms to calculate and analyze and predict the root cause and impact range of process degradation bottlenecks, and uses cross-platform standardized container specification technology deployment And release, and drive the automatic release of each node after the process assembly process is completed, which greatly improves the performance flexibility of service definition, design, assembly, installation, setup, provisioning, publishing, delivery, and subscription compared with the traditional traditional skills. Reliability can be reached by the field terminal device to intelligently judge the changes of the autonomous process and the change of the situational awareness process to complete the decision processing procedure.

The invention further uses big data analysis to manage data mining exploration The algorithm actively supervises the analysis of the real-time status of the process of the online operation, and the real-time supervision and analysis to improve the intelligent management and control mechanism of the service process operation. Compared with traditional methods, it greatly improves the flexibility and assembly speed of cross-domain composite service deployment on the network platform. Diagnose the root cause of intellectual obstacles and inductive analysis of its scope of influence, and apply it to diverse heterogeneous virtual and real network resource assembly and service chain integration and supply of information products and the Internet of Things, as well as new products or services or platforms in smart cities and smart countries, to rapidly integrate heterogeneity in other fields Brand equipment application or third-party platform, cross-platform collaboration to form a composite product or service operation and integrated supply.

FIG. 1 illustrates a system architecture diagram of a system for integrating ICT service provisioning and virtual resource monitoring according to the present invention. As shown in the figure, the system 1 for integrating ICT service installation and virtual resource monitoring according to the present invention includes a rule-driven process analysis and translation engine 11, a shared information model management module 12, an embedded visual container assembly and connection management module 13, and obstacles. Root intelligence diagnosis and prediction module 14, mass data accuracy improvement and adjustment module 15, cloud snowflake active data management module 16, smart recognition gesture voice operation terminal device 17, and active aggregation instrument panel device 18.

The shared information model management module 12 uses a multi-level information model architecture to convert network elements, execution configuration, operation settings, and their connection and attribute data into a multi-level general information model to perform access operation model exchange. Specifically, the shared information model management module 12 is a clustered service operation engine that drives the execution rules of service business operations based on the software-defined rule base and knowledge base content. It is used to intelligently control network elements, components, execution units, platforms, Various types of calculation data generated during the module execution process Separate management and operation from trigger events and data, and transfer information model information.

The embedded visual container assembly and connection management module 13 uses visual processes or methods to assemble containers with multiple different fields one by one to complete the construction of the process path and execution process of the integrated supply of virtual and real mixed network services. Web services and collaboration platforms or third-party developer services for heterogeneous network environments are assembled into composite service bodies, where the visual process or its means refers to the intelligent judgment of machine learning using visual processes.

Obstacle source intelligent diagnosis and judgment prediction module 14 uses a large amount of data and multi-dimensional cross-data analysis and terminal feedback, as well as detailed action information from the intelligent control process and its triggering events or situational awareness conditions, on-site terminal interaction results, intelligent management and control Platform integration analysis to confirm the source of the problem, the scope of influence, the nodes of the influence path and the scenario prediction of the incident. In detail, the diagnosis and prediction module 14 for the root cause of obstacles uses a large amount of data and multi-dimensional cross-data analysis and terminal feedback, as well as detailed action information from the intelligent control process, its triggering events or situational awareness, and on-site terminal interaction results. Use information and communication to integrate artificial intelligence, large amount of data analysis and machine training and learning to improve the efficiency of process operations and autonomously trigger and drive intelligent management and control, and at the same time diagnose, summarize, analyze, and predict the root cause and impact of the degradation or bottlenecks in the execution and execution of each execution unit in the process. Scope and geospatial neighborhood analysis, to improve the accuracy of process program operation efficiency, and autonomously intelligently control cross-platform comprehensive analysis to confirm the source of the problem, the scope of influence, and the nodes and event scenarios of the impact path.

Massive data accuracy improvement calibration module 15 series performs a cycle of calibration Process, through algorithmic inference and analysis of network components to perform intelligent re-correction of inaccuracies, thereby improving the accuracy rate of event situation alarm judgment hit rate. The mass data accuracy improvement and adjustment module 15 further uses the intelligent management and control diagnosis and resolution process steps, and uses a hierarchical algorithm set to improve the accuracy of the event situation alarm judgment hit rate.

In addition, the aforementioned algorithm inference includes the use of homogeneous clustering algorithms, multiple regression algorithms, decision tree algorithms, classification segmentation algorithms, and neighborhood analysis algorithms, and network components include equipment, circuits, leased lines, nodes, and connections. relationship.

Cloud Snowflake Proactive Data Management Module 16 uses virtualized demand-dependent storage and snowflake data structures to store process execution procedures. The shared information model management module, the embedded visual container assembly link management module, the obstacle The root intelligence diagnosis and prediction module and the accuracy of the massive data increase the module module's information and data during the operation of the module template, and output remote operation and access information in parallel through the remote command matrix. The above-mentioned messages and data include translation messages, relay commands, calculation result messages, digital analysis messages, and multimedia streaming data. In addition, the remote command matrix parallel output includes remote operation, storage, and reading of digitized messages.

Rule-driven process analysis and translation engine 11 is a clustered service operation engine based on software-defined design rule base and knowledge base content to drive service business operation execution rules to control the shared information model management module 12, the embedded visual container Assemble the link management module 13, the root cause intelligence diagnosis and judgment prediction module 14, the mass data accuracy improvement adjustment module 15 and the cloud snowflake active data management module 16 during the process Various types of computing data and trigger events, separate management and operation of data, and transmission of information model information. In simple terms, the rule-driven process analysis and translation engine 11 is responsible for intelligently controlling various types of computing data and triggering events and the separation management and operation of data generated during the execution process of network network elements, components, execution units, platforms, and modules, and Pass information model messages.

The active converged dashboard device 18 is connected to the rule-driven process analysis and translation engine 11 for interactive operations and information feedback interaction with field operators to guide the remote site construction process scenario through real-time and active multimedia messages. With action details. Specifically, for the interactive operation and information feedback interaction of the construction site, the active aggregation instrument panel device 18 can combine different blocks and different topics on at least one remotely portable display device, which can be The mobile portable display device can display several display blocks, and each display block is responsible for a computing theme. The information of each display block will be linked with other display blocks to form a hierarchical relationship, thereby displaying different aspects. Large-scale data cross-operation analysis and inductive diagnosis and derivation of predictions. Through interactive operation of theme information and control of unfolding and presentation, it can be used for real-time active push video and audio multimedia messages to guide remote scene construction process scenarios and action details.

The smart recognition gesture voice operation terminal device 17 is provided for the field operator to send or receive multimedia messages, return the edited digitalized information or perceive multimedia messages to the rule-driven process parsing and translation engine, and through the multimedia message. Instruct or assist to complete the on-site operation process. Smart recognition gesture voice operation terminal device 17 is a mobile wearable terminal smart device that can be quickly operated by gesture or voice input. The unit may have a signal receiving and receiving component for signal receiving and sending. It can use image or voice to input digital information over a long distance instead of the original gesture operation, and perform continuous image or speech semantic recognition analysis and conversion through command parser translator into at least one programmable Performs a signaling set matrix for software-defined logic function operations. Through smart recognition gesture voice operation terminal device 17, field operators can send or receive multimedia messages through this device, return edited digital information or perceive multimedia messages to the rule-driven process parsing and translation engine 11 to use multimedia message instructions or Assist to complete the on-site operation process.

As can be seen from the above, the present invention is based on the intelligent implementation of the service execution configuration and assembly process to infer the management and improvement goals, and uses artificial intelligence machines to further study the process of obtaining information communication network service scheduling and execution units, network element assembly and operation processes. Analyze, summarize and predict the digital information of situational events, and use mobile terminal devices to dynamically respond to feedback information and connection parameter sets in real-time, dynamically analyze and coordinate command and dispatch, assign cluster service host groups, uninterrupted load balancing, service resource dynamic scheduling, and network Zero-time switching of road service supply, supervising the operation status of each cloud terminal service execution unit in various places, that is, the core rules of the system architecture in this case drive the process analysis and translation engine 11 to connect various types of terminal smart access services, which can cope with a large number of peak hours The service and its associated sub-service needs, through artificial intelligence machine learning and the use of algorithmic technology to make predictions and inferences, to further intelligently diagnose the root cause of process event situational obstacles and the neighborhood analysis and solution steps.

In addition, the present invention is a system for integrated service provisioning management and virtual and real resource monitoring, which is applicable to the development of a new generation of digital convergence full services in the telecommunications field. Product services, through software-defined modeling, modeling, and preservation of associations to further optimize the model library and rule base, the first production system to cooperate and interoperate complex optical copper network services telecommunications communication specifications, and smoothly convert into a standard stackable programmable The containerized packaging uses SOA / TIBCO EAI / Restful / Json standard specifications. The containers are connected through multi-dimensional and three-dimensional spatial IO connections to improve the efficiency of multi-heterogeneous system operation and interoperability. It speeds up the integration of product and service, the supply of components, and the cross-domain third-party platform collaboration process. Operational efficiency, which can optimize the old communication specifications that are difficult to cooperate with, and shorten the inter-operation time between the basic actuator units of the system.

FIG. 2 is a schematic diagram illustrating an intelligent diagnosis and execution module for performing a smart analysis and execution of the obstacle source in the system for integrating ICT service provisioning and virtual resource monitoring in the present invention. As shown in the figure and referring to Figure 1, the intelligent analysis execution program includes: Program 1, Perceptual Collection; Program 2, Grouping; Program 3, Statistical Verification; Program 4, Regression Modeling; Program 5, Training and Learning; Program 6, Neighborhood analysis; Procedure 7, intelligent diagnosis, and finally achieve the purpose of intelligent decision-making.

The above-mentioned intelligence analysis execution program is executed by the obstacle source wisdom diagnosis judgment prediction module 4 and its operation principle is to use machine learning artificial intelligence algorithms to use the data generated during the process operation to implement a large number of data multidimensional cross-check analysis analysis. First, the statistical distribution is used to exclude outliers of numerical distribution, and group calculations and classifications are used to further improve the accuracy rate judgment rate. Logistic analysis, multiple regression, generative adversarial networks, and random forest technology are used to develop advanced AI diagnostic functions. To provide diagnostic analysis, induction, inference, and prediction of the root cause of obstacle degradation during online process operation. The execution order of the above-mentioned machine learning artificial intelligence algorithm is a hierarchically advanced multiple regression equation (a + b ₁ X ₁ + b ₂ X ₂ + ... + b _i X _i ).

Next, the data matrix, parameter matrix, pattern matrix, and error matrix are analyzed, and the Logis algorithm is used to connect the random forest algorithm, which will affect the detailed action data and the triggered situations and events in the process of the process of the system. Through data collection, classification clustering, weight factor calculation, and filtering and filtering of outlier data sets, through further establishment of a dimensional intelligent prediction data matrix, inductive analysis and further prediction of process events, trends, and multi-dimensional distribution of related data, and then further The clustering decision tree is used to improve the accuracy and hit rate of prediction results. The complex events and situation status information generated during the process are further classified and trended, which includes the prediction of the process trend and the behavior of field terminal devices. Analysis and correction of cyclical derivation, analysis, and correction of usage status and encounter event scenarios, and then store the above analysis results in the cloud snowflake active data management module 16 to establish a history rule base to provide other module inputs Call use.

FIG. 3 is a schematic diagram illustrating a procedure for performing a visual flexible assembly process by an embedded visual container assembly link management module in the system for integrating ICT service provisioning and virtual resource monitoring according to the present invention. As shown in the figure and referring to FIG. 1 at the same time, when a plurality of containers of different natures are assembled into a product service or a cloud On Demand platform, the intelligent template library is called to establish an embedded visual container assembly link management module 13 at this time. Starting from the container, microservice, and execution unit assembly stack delivery process program map, at least one logical flow path diagram of each container, microservice, and execution unit station, according to different heterogeneous areas The design is output from the service library, rule library, and learning library. Each container or platform component will use the Hybrid-Cloud hybrid cloud service application interface catalog structure through the application interface catalog matrix, and automatically select the criteria for intelligent analysis in response to the situation. The specifications are connected in series with IO to complete the product or microservice or platform component flow path, and the information model between the containers is used to translate and then extend the extension extension to continue to expand and evolve. The invention further learns through the flexible rapid assembly and advanced analysis of the artificial intelligence rule base knowledge base to complete deep learning and complete the integration of different application collaboration scenarios and events across cross-domain platforms. The operation of the above architecture is an Atomic / Composite container composed of a service basic execution unit defined, modeled, and modeled by an embedded visual container assembly and connection management module 13, in order to use the service integration execution capability of the service base execution unit in each industry field. Through the active control connection and parallel sequential driving, the asynchronous results are summed up to obtain the calculation results, and the above results are transmitted to the rule-driven process analysis and translation engine 11 as multimedia messages. Control and start the sub-service units that are deployed, establish the sender and receiver routing sessions, and then process the service operation execution logic one by one to complete the container, microservice, and platform element process procedures.

In addition, the embedded visual container assembly and connection management module 13 of the present invention associates products and services in heterogeneous fields with different characteristics, terminal devices, and multiple Internet environments to classify and subsequent analysis based on tags and attributes. Homogeneous requests are collectively associated with specific function virtual servers. Groups provide, translate into service, content, network, quality, agreement, customer, obstacle, connection address, connection terminal, connection level, connection level and other types of parameter specifications. Set the virtual resource dynamic scheduling application and operation data analysis to calculate the real-time status and connected parameter group of the connected environment situation event in real time, which can further deduct and estimate the expected conditions, the use status, the behavior and action details, and the use requirements. Request-oriented to correctly assign execution units, and further refine and expand the storage in the learning library and rule base to enhance intelligence to improve the accuracy of incident, situation, obstacle prediction and hit rate.

Please refer to FIG. 3 again. The embedded visual container assembly connection management module 13 is used to visualize the flexible assembly process program. The program control management unit 301 sequentially perceives the unit 302, the measurement unit 303, the position unit 304, and photography. The unit 305 is injected into the container 1, the software-defined intelligent analysis unit 306, the control unit 307, and the exchange unit 308 are injected into the container 2, and the prediction unit 309 is injected into the container 3. At the same time, the container operation process program is assembled in the order shown in the figure to complete the Hybrid- Cloud information communication integrates the collaborative service process to intelligently diagnose obstacle prediction functions. The process program assembly structure provided by the present invention can be flexibly adjusted using software-defined logic rules, and iterative training and learning can be used to improve analysis accuracy and hit rate. Its application method evolves with the development of open source container technology. When the high container production system is established, it can be used without being re-developed. The present invention assembles the connection management module 13 by registering a new container to an embedded visual container, while maintaining the relative positions of the cooperative blocks facing the I / O space, the order of the call before and after, the connection method, and the connection and corresponding relationship to quickly complete the interface The assembly collaboration integrates supply.

As mentioned above, please refer to FIG. 3. The present invention first uses intelligent diagnostic analysis to insert product or service network data through a network analysis and design unit. Use the embedded visual container to assemble the link management module 13 to establish a network service process path with standardized specification containers, assemble the molds through the composite components of the process program, apply the core engine to coordinate the management process analysis, and search and locate through spatial geography construction retrieval The construction site and the best assembly path from the location of at least one cluster service host to the real-time dynamic position of the signal terminal device and the pipeline equipment line connection are coordinated through software logic flow and the operation of the information model is fault-tolerant and driven according to the rules of the rule base. Using the above-mentioned embedded visual container assembly connection management module 13 to produce a visual product or service network execution unit assembly sequence operation path flow, the path can be further changed or replaced by the execution unit, and is driven by the core engine . When the above rule-driven process parsing and translation engine 11 runs, according to the shared information model management module 12, the dependent parameters and structured or unstructured data, the real-time information model specifications and the specific one or more rule computing terminals return multimedia message analysis to further The analysis and induction results are stored in the cloud snowflake active data management module 16 for use in the next step.

The above-mentioned embedded visual container assembly link management module 13 completes the end-to-end equipment, network element, line, device and connection required resources according to the virtual and real network common configuration architecture information model. Each node and related connection settings start configuration actions. First, check the composition of the microservice container and whether the resource topology and its connection hierarchy are in place. Then check the type of the microservice and its execution priority. The priority call with the highest priority in the same group is enabled. Enter the pre-processing buffer device to perform buffer delay processing and pre-processing. If the priority is the same, continue to compare the network element and resource topology execution weight and in-place status. In this way, the hierarchical subordinate recursive operation method is used to complete the control and management of the subnet element resource provisioning to prevent the execution of the process from entering the loop and waiting for errors.

Figures 4 and 5 illustrate different examples of the bottleneck points of the process of analyzing the optical network components in the intelligent diagnosis and prediction module for the root cause of obstacles in the system for integrating ICT service provisioning and virtual resource monitoring according to the present invention. As shown in the figure and referring to Figure 1 at the same time, taking the customer network, aggregation network, and optical splitter network architecture as examples, using intelligent training and learning analysis to intelligently manage and diagnose ODN (Optical Distribution Network) / OLT (Optical Line) Terminal) / ONU (Optical Network Unit) and optical splitter power, packet quality, degradation, obstacles, bottlenecks, and signal loss. When the conditional probability exceeds the threshold, it will actively initiate the treatment process to solve the problem. The invention uses the detailed event, alarm, situation, action multi-dimensional data and information model real-time computing data generated in the process of digital intelligent analysis of multi-party confluence data to cross-analyze, summarize, and derive, through the non-linear combination of change factors, quantizer, Multi-dimensional hierarchy and neighborhood analysis cross mining difference comparisons, gaining an early insight into the detailed action details of the forecasting process, and then discovering the occurrence of subtle abnormalities in service process operations, bottlenecks, interference factors, affecting root causes, and process degradation phenomena and power light Loss phenomenon and line interference noise proportion, and intelligently process recursive operations and conditional probabilities through statistical data and statistically-supervised learning inference to analyze and summarize process optimization and improvement practices, and then send it to the active aggregation dashboard with an active push mechanism The device 18 provides a field terminal to remotely grasp the first time analysis result and interactive operation and apply it. Compared with traditional practices, it can only be done one after another The instructions of the network element and network management cannot find the cause of the problem and cannot be systemized quickly. The difference in instructions between different devices requires time-consuming memory operations. The present invention provides an active intelligent co-control machine manufacturing method and a root cause data analysis artificial intelligence solution. Field terminals use video, audio, or gesture input to interact to manipulate action details.

Obstacle root cause intelligent diagnosis and judgment prediction module 14 analyzes complex and huge network engineering transmission packets and traffic volume and power operation loss status and multiple user usage behaviors of composite composition, and summarizes analysis and prediction of subsequent short-term and long-term change trends, analysis The real-time transmission of the packet status, power, and noise interference status of the main optical fiber cable loop, branch cable, user cable, and copper cable between the office end and the user end, and immediately feedback the business drive engine and send the package information model to the active aggregation dashboard device 18. Through dynamic multi-level themed interactive interactive dashboards, you can disassemble and monitor the interactive web services and multiple heterogeneous service platforms in a hierarchical manner one by one. The dimensions of resource and service collaboration use utilization, execution efficiency, equipment survivability, and equipment. Line platform operation, degradation, obstacles, user influence scenarios and reaction status.

The present invention further uses the results of inductive analysis to predict the composition of resource scheduling, process trends, and related behavior trends of complex network execution environments. Iterative analysis and prediction model algorithms are established and a large amount of data is trained to further improve the performance of inductive analysis and prediction. Accuracy and precision. Compared with the current on-site operation, which needs to memorize complex instructions of different models of equipment, the present invention can only enter a single network management instruction to slowly search for possible problems and crux points. The root cause of the intelligent diagnosis diagnosis and prediction module 14 can be used for autonomous intelligent management and multi-dimensional cross-platform integration. Analysis to find the source of the problem and its scope of influence. Quantitative data modeling, analysis, and forecasting, to enhance the capabilities of the new generation of intelligent sensing management and control mechanisms, so that all behaviors, triggering events, critical values, and regional neighborhood analysis that occur during the process execution can be tracked and analyzed in real time and behavioral events are advanced in advance Prediction, through multiple sources, different types of application terminal, situational information perception, and large amounts of data. Cross-dimension analysis and forecasting completes the data structure analysis. It actively controls the information flow and removes the advanced analysis of noise. It provides deeper perception-driven intelligent management and control. Mechanism, which uses the optical loss algorithm model from the end of the optical, copper, and cable to the user to predict process events, traffic degradation nodes, location roots, and the extent of the affected section. On-site construction inspection and maintenance personnel can greatly reduce memory and learn different models. The complex instructions of the device, through the intelligent push tube control mechanism and machine learning algorithms of the present invention, can more quickly and accurately diagnose and identify the root cause of the problem event and the treatment process.

The present invention enhances the accuracy of machine learning and artificial intelligence calculations through the intelligent diagnosis and prediction module 14 for root cause diagnosis of obstacles. Based on multi-dimensional comprehensive analysis and prediction of behavioral event scenarios, the active parameter values are quantified. The multi-dimensional three-dimensional model is used to calculate the relationship coefficients and trend line trends and regional neighborhoods. Domain inductive convergence analysis, through weight calculation analysis and use of Support Vector Machine (SVM, Support Vector Machine) to establish an operation model responsible for performing homogeneous classification models, complex regression models, anomaly detection models, and function calculation conversions, and then quantifying each numerically The classification represents the relevance of the event situation problems of different facets. The in-depth stereo model is assembled based on the problem situation analysis to input a large number of data sets to further diagnose the convergence areas, key points, and obstacle points of the problem. The model modeling is used to establish active self-completion problem classification and induction. Data input diagnosis, context analysis and limited solution production system, analysis and induction and intelligent decision process Event situations and countermeasures.

In addition, the obstacle source intelligence diagnosis and judgment prediction module 14 also uses the narrative statistics principle to adopt various types of data in the supervised learning analysis process scenario event information model, through the provision parameter profile matrix formed by heterogeneous network services in different fields, and the statistical verification operation. And regional convergence and neighborhood analysis to further analyze and determine the cause and condition probability and distribution of situation and event problems, and then to derive the best detailed action behaviors that should be taken to influence the root cause, scope, area, and cost, as well as problem diagnosis. The collection, through repeated problem diagnosis, problem induction, problem recursive cycle, and record and save the complete processing flow procedures, operating rules, and inferred accuracy hit rate after multiple operating procedures, the above can be applied to the information communication dedicated line Various multi-point combined construction and incident problems in the responsibility area of equipment, machinery and parts, analysis and determination of inferences, process procedures, wisdom corrections, amendments or cancellation of restoration procedures.

The present invention uses intelligent management and control of virtual-real integration services to provide intelligent processing capabilities to greatly reduce the manual process and input cost time of artificial intervention and incorrect dispatch, secondary dispatch, wait for false dispatch, repeated dispatch, and increase digital convergence. Product service network cross-platform collaboration application execution stage and real-time feedback analysis monitoring of dispatch, return, and manpower utilization Monitoring and control ability and intelligent judgment, and continuous uninterrupted rule analysis to improve accuracy and hit rate, and reduce the required dispatch during the process Work complexity and maintenance, the cost of manpower operating expenses and the cost of situational event alerting and problem diagnosis and processing. As mentioned above, as the expansion of the intelligent analysis process rule base and the knowledge base of the present invention becomes more and more complete, the reliability of the above-mentioned intelligent operation analysis capabilities will be significantly improved, the accuracy hit rate will be further increased, and the scope of automatic intelligent processing is increasing. Bigger, The operating efficiency and accuracy will be improved accordingly, and the problem event diagnosis and treatment process procedures will be actively completed, and the problem solving process will be completed as soon as possible, and the proactive driving will shorten the execution waiting time.

The invention provides a hybrid cloud (Hybrid-Cloud) product service or an artificial intelligence machine in-depth unsupervised rule learning during the execution of a platform execution unit. The core process-driven engine is responsible for real-time collection of events, feedback, and traps generated during the service execution process. (Trap), obstacles, calculation thresholds, and other types of information are analyzed by linear combiner and quantizer and logical Sigmoid Function data analysis and interpretation. Data mining and mining, artificial intelligence machine learning is used to analyze the calculation algorithm and the scene. Real-time sensing of network service environment components, recurs the accuracy, hit rate and range of impact of the root cause of prediction obstacles generated by iterative computing problem events, and combines the core network / transmission network / access network of the existing on-site inspection and maintenance system The overall application of the integration of inspection information further summarizes the trend and rules of the analysis process. After summarizing the above-mentioned event root effects, an event matrix, an impact matrix, and a correlation matrix are established. The increase of each unit leading to the occurrence of an event and the calculation of the conditional probability, Expected value analysis through cross-dimensional correlation between matrices Prediction can predict the execution situation bottlenecks and the scope of degradation phenomena in advance during the mining process, and present the results on the active aggregation dashboard device 18 to display the data analysis algorithms and feedback completed by the most instantaneous calculation and analysis to predict the trend changes and mine from them Find out the important trend rules of the process and advanced analysis of the use behavior, and complete the establishment of the process rule base and the learning base, improve the intelligent real-time management and control service mechanism, further predict the interval of good points and the distribution of data, and establish a countermeasure early. Process procedures, compared to traditional methods can only be done one after another The network management instructions for manual intervention slowly find possible causes of the problem, time-consuming and labor-intensive, and human factors mistakenly waste costs, more equipped with the intelligent control interpretation and deduction mechanism inadequate previous skills to deal with contingency.

For the data communication translation between different containers, the present invention uses a shared information model management module 12 to establish a composite multi-layer network structure created by physical network equipment and virtual network equipment, and promotes it with hierarchical connections. Method, establish a general-purpose cloud network equipment line core connection execution environment configuration, and integrate the software-defined virtual and real network equipment network elements under the same framework to complete the integration supply process. Including the establishment of equipment room location, equipment resources, and related equipment and equipment room location. When setting up the equipment, it includes heterogeneous and diverse brands, models, racks, chassis, card slots, card boards, communication ports, its own network management system, its own loop and other network resource configurations. The present invention utilizes a new generation of general information model technology to convert configuration data of equipment, circuits, dedicated lines, WiFi, ITA, gateways, modems, set-top boxes, firewalls, service platforms, etc. into a hierarchically related information model. It can be used for cross-domain collaboration services for different purposes, allowing heterogeneous and diverse operating environments to automatically synchronize specifications. The embedded visual container assembly and connection management module 13 of the present invention uses a programmable standardized container management mechanism and uses a unified, abstract, standardized, and generalized unified architecture to complete the establishment, deployment, publishing, subscription, delivery, and delivery of services across heterogeneous domains. Delisting and subscription management life cycle, where containers and containers can be substructures. From the above, we can use the standardized container operation mechanism to encapsulate the execution environment, core and dependent components and configurations required by the application from bottom to top to provide seamless cross-platform operation and form a larger and more complete service body to supply new A cross-domain collaborative product and service platform for next-generation hybrid cloud computing.

As mentioned above, the shared information model management module 12 of the present invention uses a common standard specification information model to regulate optical, copper, cable line equipment, and a hybrid multi-variate heterogeneous network environment of virtual and physical network hybrid clouds. Element and various cable equipment line network element jump and connection automatic transfer, network element setting and opening specifications, to implement a common information model to integrate virtual and real network, the scope can include the main shaft optical cable, branch cable, optical fiber transfer box, copper cable 3, DJ box information model and its neighboring neighborhood equipment line connection execution configuration settings, network element activation, circuit scheduling activation. Through the shared information model management module 12 of the present invention, the dynamic resource topology scheduling rules dynamically arrange and lock the handoff and transmission end points in the computer room, measurement station, transmission equipment, manhole connection, handover box, user building, main box, host, etc. The construction area is sequentially located with the port number, connection, and line, and is mapped to an effective alternative route through the call security backup path. The alternative alternative weight path is equipped with a load distribution mechanism. The present invention uses software to define a combination of virtual and real information to achieve a network. The composition of road resources and the assembly and supply of service components and the purpose of safe and stable isolation of data.

In the hybrid cloud environment, the copper cable, optical cable, branch cable, drop cable, WIFI VPN, and its connection and dispatching are used to install Internet service information. The topology model can be built separately through the information model of the present invention, or it can be used with another ultra-broadband video and audio video. Streaming process sharing information model is built, based on the information model of the optical cable broadband access network connected ultra-broadband video and audio streaming, and then the terminal access network can be used, set and executed by the copper cable twisted pair technology with multiple bundled lines Configure and execute the provisioning activation commands and advanced parameters to form an end-to-end network network element structure information model one by one, and operate sequentially from top to bottom through the recursive cyclic link hierarchy until all network levels are topological Network element environmental parameters, implementation The line configuration, program settings, dependent components, installation commands, installation activation command parameters, and information model package all use the specifications defined by the shared information model management module 12 and the connection and association between network elements and network elements to further expand and complete a change. The larger and more complete information model topology can be further extended to a three-dimensional space information model topology for subsequent container operation applications. The rule-driven process analysis and translation engine 11 calls the shared information model management module 12 to call the topology set of information models required for operation to create a Software Defined Logical Modeling Constructor.

According to the above, the module of the present invention is used to assemble, supply, deliver and publish the operation process of the service container of virtual resources, hybrid physical resources, and hybrid cloud resources that are integrated with broadband virtual and real-world broadband services. The intelligent judgment control unit controls the realization of virtual and physical Heterogeneous and multiple network resources proactive detection and dispatching, further enhance the integration of various services in different areas, the overall collaboration flexibility and operation speed performance, which can greatly improve the overall performance of service operations, and at the same time, it can provide a high degree of data center, control center and field terminal high vision The interactive terminal device controls operation synchronization. In addition, the present invention allows users of third-party developers to use a rule base to operate a graphical block assembly operation structure and execution flow through the use of standardized information model specifications, container packaging links, and an open application program interface structure to provide digital convergence. The flexibility and effectiveness of environmental cross-border heterogeneous integration provide multiple multi-brand platform integration and collaboration capabilities.

6A and 6B are diagrams illustrating the execution of the intelligent management and control process of the present invention. As shown in the figure, a cloud hybrid cloud network service application is taken as an example. A network service application first converts output resource nodes through a network service resource mapping processing unit, and scans to confirm the resource nodes and their locations required by the service. , Then further input the resource node to the node topology and associated scheduling processing unit to output the network resource topology assigned to the network element topology, and then input the assigned network element topology to the virtual resource model-aware scheduling processing unit. In order to generate a general configuration template of virtual and real resources, then, further input the general configuration template of virtual and real resources to the dynamic processing unit of the application program interface to output the intelligent management and control application interface, and then input the intelligent management and control application interface to the software-defined processing unit. Call software-defined rules and output a programmatic execution container.

Then, a large number of data learning processing units and a large number of data prediction processing units are used to perform round-robin recursive processing to improve the model's prediction accuracy and hit rate. After all the component execution processing units report the success of the task, the service will be successfully implemented as a whole. The message is sent to the container interpreter. The packaged container interpreter transmits the passed information model and related data to the active aggregation dashboard device 18, among which, the rule-driven process analysis and translation engine 11, the shared information model management module 12, and the embedded visualization container The assembly of the connection management module 13, the obstacle source intelligent diagnosis and judgment prediction module 14, and the mass data accuracy improvement and adjustment module 15 is through the process information model exchange processor to complete each other's message sending and control signaling, and at the same time All the calculation and operation history data and events during the process execution are structured and stored in the cloud snowflake active data management module 16.

The present invention utilizes massive data to improve the accuracy of the adjustment module 15 and further collects continuous operation and timing comparison monitoring of multi-dimensional process-oriented calculation data through the collection of service process operations to further predict trend changes, critical value change responses, and terminal operation use. Behavioral signaling traffic changes and trends in the use of network services are confirmed by conditions after the impact factors are diagnosed and confirmed. Probability analysis, statistical distribution, and supervised learning analysis and inference, launch the corresponding prescription of the corresponding event one step earlier to start the derivative process of the corresponding countermeasure function, and actively drive the solution of service process problems in the first time.

The above-mentioned mass data accuracy improvement and adjustment module 15 uses a lot of converged digital information generated by the service process to call the machine learning algorithm of the present invention to perform instant cross-prediction analysis on various nodes of the network. Please refer to FIG. 6 again, the machine learning of the present invention The algorithm intelligently controls and analyzes a variety of different brands with different network element nodes. Connection and hybrid cloud, virtualized service constitutes an execution unit, and neighborhood analysis. The associated computing processor performs device line correlation calculations. The program path in the computing process is used for various networks. Data structure module data, and call the virtual machine data storage device to access real-time information for process execution and operation. The intelligent process control feedback processor performs data analysis and feedback transmission. The data model that completes the virtual operation is passed to the programmable container for distribution. The processor, after completing the process to access all the programs of the processor (associated program sequence processor), sequentially call each container execution unit in the process one by one and confirm that all the component execution units have completed their execution and responded to the sub-task. After the signal signaling, the stacking assembly service element is completed. Deployment, delivery and shelves.

As mentioned above, the process interface processor of the present invention outputs to a large number of process program operation information to the cloud snowflake active data management module 16 at least one virtual machine data storage device during the operation of the assembly process, and uses mass data to verify The accuracy improvement and adjustment module 15 starts the non-linear supervised learning algorithm for advanced analysis. The multi-dimensional cross-oriented analysis data is returned. The survey data mining algorithm is returned and the training data is collected, rectified, and standardized input for machine learning training. Analyze the trend of the process and apply it to the telecommunications room The network access element construction project of the terminal access terminal and even the customer terminal line equipment core connection, reconfiguration project, optical copper signal handover analysis, network element detection and prediction, traffic degradation bottleneck analysis, and then store the output of the calculation results in The cloud snowflake active data management module 16 includes at least one virtual machine data storage device.

The rule-driven process analysis and translation engine 11 confirms that each module unit in the call process confirms that all executable container execution units have been fully executed, and confirms that all component execution units have been executed properly and completed without exceptions and end-to-end optical and copper equipment circuits The resource topology takes effect, and then the container execution unit or microservice package, service delivery and deployment are put on the shelf, and respond to the processing result message packet to the call source, and trigger the transmission of changes to update the cloud snowflake active data management module. 16 Control its virtual data storage device, and operate the storage device to continuously update and keep the operation data in the process, events, and execution scenarios up to date. During the above-mentioned operation, the rule-driven process analysis and translation engine 11 continuously broadcasts pre-alarm events or running events, or executes situations or perceives message transmission data to the active aggregation dashboard device 18. Through smart recognition gesture voice operation terminal device 17, field terminal personnel can interact with the mobile cross-platform device and input and receive multimedia messages to understand the results of process operation status in real time and generate response messages or digitized information. The message package is a virtual-real integrated general information model accessible to the container of the present invention and passed to the rule-driven process analysis and translation engine 11 to drive the next process step.

As can be seen from the above, the rule-driven process analysis and translation engine 11 of the present invention actively pushes the analysis and prediction results of the entire process to the active aggregation dashboard device 18 to provide real-time intelligent judgment and analysis on the terminal or on-site. And influence the root cause results to assist in the execution of work tasks and improve accuracy. Through the system's massive data analysis algorithm technology analysis and inductive forecasting and highly visualized and theme-linked remotely-operable multimedia audio-visual interactive dashboard devices, field operations Using the active aggregation instrument panel device 18, it is possible to grasp the status of multiple windows to receive the latest real-time analysis and induction status. Each window displays a different theme. Each theme operates independently and is linked through windows. The results of all windows are displayed on the same plane. The information model and multimedia information of the present invention can be transferred between them to achieve the purpose of exchange.

The smart recognition gesture voice operation terminal device 17 of the present invention is a wearable terminal device that provides intelligent recognition of a mobile platform that can recognize and sense the status of a scene across a platform. It receives and interacts with field environment data in the context of device line node connection and handover work. Authentication access right and biometric identification, responsible for transmitting, receiving, analyzing, translating on-site different types of different operating system devices and equipment to issue command commands and transmit the generated interactive responses and on-site context or multimedia message perception, authentication, analysis, and application, The device analyzes the voice and semantics or the input and output of multimedia messages, and converts them into operating signals and multimedia messages that can be executed by the operating systems of different devices and equipments to reflect the control flow and perform detailed logical reaction actions. In addition, on-site personnel or terminal operators can use gestures, voice, multimedia messages, and biometric operations to connect to the system modules, components, execution units, and assembly platforms of the present invention through an input / output interface remote remote intelligent control mechanism. Take the analysis results of data analysis, induction, prediction of real-time multimedia messages, or the degradation and influence range of obstacle source processes during the execution of process procedures to improve the accuracy to perform various tasks in execution.

In summary, the present invention can be applied to IoT products and services, unmanned computer rooms, remote areas, cloud virtualization data centers, and new types of ICT services. In addition to greatly improving intelligent management and control, it will further save labor costs. Reduce operating and maintenance costs. Taking the IPV6 SD-WAN video and audio streaming service on the ultra-wideband VPN exclusive virtual network as an example, the shared information model management module 12 of the present invention cuts the service sub-element dependent resource layers into logical and virtual common module components and execution groups. It can operate the optical cable spindle circuit, copper twisted pair cable connection, OLT, ONU, ODN components, passive optical components, actinic transfer boxes, cabinets, card ports, and shunt modules in sequence. In the working process, the present invention uses a packaged executable container to flexibly quickly assemble and deploy various types of services and their associated sub-services, and uses visual elements to arrange the order of serial connection and connection association, and uses virtual and real network services to integrate universal execution. The configuration architecture uses the standardization of information model specifications, digitalization of telecommunication network elements, and the active composition of artificial intelligence calculations that perform configuration programming. It is flexible and efficient to complete multiple service clusters for processing front-end applications, changes, cancellations, and recovery. Procedures to assemble and provide services for hybrid cloud resource scheduling and service integration that simultaneously meet the requirements of composite virtual and physical network resources As needed.

As can be seen from the above, the system for integrating ICT service installation and virtual resource monitoring of the present invention has the following advantages over the conventional technology: (1) The present invention flexibly and quickly assembles cross-references through artificial intelligence and intelligent knowledge base rule bases. Domain platform network services, further use of machine in-depth learning to solve problems, the use of a large number of data analysis techniques, algorithmic concatenation, intelligent management and control of integrated service assembly and supply process problems, reduction of process obstacle rates or quality degradation, and significant savings The present invention reduces human errors; (2) The present invention provides standard and shared software-defined intelligent application program interface architectures across heterogeneous value domains, and encapsulates a basic execution element unit into a plurality of standard specification stackable containers, using SOA / TIBCO EAI / Restful / Json Specifications, improvements to existing product and service hardware architectures are very different, and it is difficult to quickly integrate and integrate existing resources to launch innovative products to create new business models. That is, the use of next-generation resource scheduling services to assemble the "Hybrid-Cloud Services Fufillment Orchestration Architecture". Across the difference between software and hardware resources of the virtual and actual network service platform, the topology association, execution configuration, service composition, environment template, operation action details, interoperability specifications, collaboration interface, management monitoring mechanism, and comprehensive use of information models are not required. Different application network platforms or different application systems once again customize the information model exchange format and detailed actions and execute configuration settings; (3) The invention uses hybrid cloud composite information communication / Internet of things resources, services, operations, management Fully modularized / standardized, using the new generation Service Orchestrator mainstream Construct virtual and real mixed information models to carry out descriptions one by one, and integrate virtual and real resource scheduling and service models through common configuration to exchange, assemble, execute, configure and set up and open, for a variety of heterogeneous heterogeneous and different purposes. It can be set up, opened, and analyzed through intelligent algorithms, decision-making, and real-time data collection of IoT devices to optimize process tasks. (4) The present invention provides a more flexible, efficient, and stable service structure across multiple heterogeneous fields to improve process execution. Intelligent management and control of detailed computing behaviors in the process, rapid integration of equipment vendors and suppliers with large differences in different fields, and use of core resources to mix cloud network resource scheduling and service provisioning, and handle single user accounts across heterogeneous networks, platforms, and terminal services For FMC Evolution Digital Converge high-level cross-domain collaborative applications, thereby providing differentiated services to replace the solution flow of international manufacturers' monitoring solutions with independent solution processes; and (5) the dynamic linkage dashboard of the present invention can receive gestures or audio-visual multimedia messages for intelligent control and fast positioning intelligence Analyze and summarize the complaint points and the root cause of the obstacle. The real-time active video and audio multimedia information guides the remote site construction process and action details. It can be applied to virtual services, SD-WAN multi-style complex services, integrated collaboration, supply and environment. Supervision.

The above detailed description is a specific description of a feasible embodiment of the present invention, but this embodiment is not intended to limit the patent scope of the present invention. Any equivalent implementation or change that does not depart from the technical spirit of the present invention should be included in Within the scope of the patent in this case.

Claims (10)

A system for integrating information and communication technology (ICT) service installation and virtual resource monitoring, including: a shared information model management module, which uses a multi-level information model architecture to integrate network elements, execution configuration, and operation settings. And its connection and attribute data are converted into a multi-level general information model to perform access operation model exchange; the embedded visual container assembly link management module is used to assemble the containers of multiple different fields one by one using visual processes to complete the virtual reality The construction of a hybrid network service integrated supply path and execution process: 俾 Assemble network services and collaboration platforms or third-party developer services of a multi-heterogeneous use network environment into a composite service body; intelligent diagnosis and prediction model of root cause of obstacles Group, which uses a large amount of data and multi-dimensional cross-data analysis and terminal feedback, as well as detailed action information from the intelligent control process, its triggering events or situational awareness, and on-site terminal interaction results. Intelligent management and control cross-platform comprehensive analysis to confirm problems Root cause, scope of influence, nodes of the influence path and event situation Massive data accuracy adjustment and adjustment module, which executes a cyclic adjustment process, intelligently recalibrates inaccuracies through algorithmic inference and analysis and induction of network components, thereby improving the accuracy of event situation alarm judgment hits Rate; cloud-based snowflake-type active data management module, which uses virtualized demand-dependent storage and snowflake-like data structure to store the process execution process, the shared information model management module, the embedded visual container assembly link management module, The obstacle source intelligent diagnosis and judgment prediction module and the mass data accuracy rate adjustment module module information and data during the operation of the module template, and remote operation and access information are output in parallel through the remote command matrix; rule-driven process The parsing and translation engine is a clustered service operation engine based on the software-defined design of the rule base and knowledge base content to drive service business operation and execution rules to control the shared information model management module and the embedded visual container assembly link management module. Group, intelligent diagnosis and prediction module of the root cause of the obstacle, the massive number According to the accuracy improvement, the adjustment module and the cloud snowflake active data management module perform various types of calculation data and trigger events, separate management and operation of data, and transfer information model information during the process; an active aggregation dashboard device, It is connected with the rule-driven process analysis and translation engine for interactive operations and information feedback interactions to guide remote scene construction process scenarios and action details through real-time active push multimedia messages; and smart recognition gesture voice operation terminal devices, The intelligent recognition gesture voice operation terminal device transmits or receives multimedia messages, returns the edited digitalized information or perceives the multimedia messages to the rule-driven process parsing and translation engine, and through the instructions or assistance of the multimedia messages to complete On-site operation process. The system for integrating ICT service installation and virtual and real resource monitoring as described in item 1 of the scope of patent application, wherein the shared information model management module is a multi-variable heterogeneous network platform and execution unit for various types of applications. Application to achieve cross-platform information analysis exchange and interoperability cooperation, and among them, the multi-level general information model is an advanced step-by-step expander. The system for integrating the installation of ICT services and the monitoring of virtual and real resources as described in item 1 of the scope of patent application, wherein the visual process refers to the intelligent judgment of machine learning using the visual process. The system for integrating the installation of ICT services and the monitoring of virtual and real resources, as described in item 1 of the scope of patent application, where the obstacle source intelligence diagnosis and prediction module is the integration of artificial intelligence, large-scale data analysis, and machine training learning process using information communication Operational efficiency and autonomous trigger drive intelligent management and control. As described in item 4 of the scope of patent application, the system for integrating ICT service installation and monitoring of virtual and real resources, wherein the intelligent diagnosis and prediction module of the root cause of the obstacle further diagnoses, summarizes, analyzes, and predicts the execution unit's execution or degradation in the prediction process. Analyze the root cause, influence area and geographical space neighborhood to improve the accuracy of process operation efficiency. The system for integrating ICT service installation and virtual and real resource monitoring as described in item 1 of the scope of patent application, where the algorithm inference includes the use of homogeneous group algorithm, multiple regression algorithm, decision tree algorithm, and classification segmentation algorithm Neighborhood analysis algorithm. The system for integrating ICT service installation and virtual and real resource monitoring as described in item 1 of the scope of patent application, in which the mass data accuracy adjustment and adjustment module is based on intelligent control diagnosis and solution process steps, and uses hierarchical algorithm collection In order to improve the accuracy of the event situation alarm judgment hit rate. The system for integrating the installation of ICT services and the monitoring of virtual and real resources, as described in item 1 of the scope of patent application, wherein the messages and data stored in the cloud snowflake active data management module include translation messages, relay commands, calculations Results messages, digitized analytics messages, multimedia streaming data. The system for integrating ICT service installation and virtual and real resource monitoring as described in item 1 of the scope of patent application, wherein the active aggregation type dashboard device combines different blocks and different topics in at least one remotely portable and portable display A device, in which a plurality of display blocks are displayed on the at least one remotely portable display device, and each display block is responsible for a computing theme, and the information of each display block is related to other display areas Blocks are linked to form hierarchical relationships. For example, the system for integrating ICT service installation and virtual and real resource monitoring described in item 1 of the scope of patent application, wherein the smart recognition gesture voice operation terminal device refers to a mobile wearable terminal smart device that can be quickly operated by gesture or voice input Wherein, the smart recognition gesture voice operation terminal device uses image or voice to input digitized information at a long distance, and performs continuous image or voice semantic recognition analysis through a command parser to convert to at least one programmable execution signaling set matrix. This enables software-defined logic function operations.