16 results about "Service design" patented technology

The techniques disclosed herein simplify the design and provision of communication services provisioned by a communication service provider. In a particular example, a method includes receiving service design parameters for a communication service provided by a communication service provider, and identifying a root node in a service design directory corresponding to at least a first one of the service design parameters. The method further includes creating a service design by traversing, from the root node, one or more subsequent nodes defined by the service design directory corresponding to one or more second ones of the service design parameters until reaching one or more leaf nodes indicated by the service design directory. The method further includes configuring resources corresponding to the nodes traversed in the service design according to the service design, and providing the communication service via the resources.

The invention discloses a high-performance visual interface configuration service design method based on a yaml format, a visual large-screen interface is provided through database configuration without code writing, and the method comprises the following steps: interface configuration rules: one configuration represents one interface; the data acquisition engine acquires original data according to configuration; the data processing engine processes the original data according to the configuration to generate target chart data; and performing visual display, wherein the web page end displays a corresponding chart according to an interface response result. According to the method, data acquisition and data processing are decoupled, and the data processing flow is completed by the back-end service, so that the network data transmission quantity is greatly reduced, the data processing tasks of the web front-end equipment are reduced, and the rendering speed of the visualized large-screen chart is improved.

A device may receive a request for service requirements, and may determine network devices that satisfy the service requirements. The device may identify an unreachable network device from the network devices determined to satisfy the service requirements, and may deny the request based on the unreachable network device being unreachable. The device may receive a command to proceed with the request, and may create an orphan service instance for resources used by the unreachable network device and service instances for resources used by the remaining network devices. The device may associate a first device status with the orphan service instance, and may associate second device statuses with the service instances. The device may generate a service design based on the orphan service instance, the service instances, the first device status, and the second device statuses, and may utilize the service design to satisfy the service requirements.

The challenge is to accurately profile customers' lifestyles by time of day and provide digital services that enhance the value of the customer experience. [Solution] The digital service design device 100 collects smart meter information 2 and questionnaire information 4 as customer characteristic information indicating the attributes of energy consumers and their equipment from an external communication network 108, identifies service information similar to the collected customer characteristic information from service information 3 which shows the characteristics of existing services provided to consumers in qualitative language descriptions, compares the customer characteristic information and the identified service information to calculate the difference, and generates new service information indicating a new service that complements the difference.

The invention discloses a multi-mode artificial intelligence general measurement and control software system and a linkage method. The system comprises a cloud service cluster and an edge intelligent gateway node. And the cloud cluster provides management, tunnel, file distribution, equipment management and database services. The edge node adopts a multi-process micro-service design and comprises system management, core data acquisition, AI visual processing, AI auditory processing, a large model reasoning process and a process collaboration bus based on a shared memory and a signal mechanism. The system supports a cloud edge cooperation mode and an edge distributed linkage mode, and can be dynamically switched according to a network state. When the network is abnormal, the edge nodes can realize autonomous cooperation through point-to-point remote calling. According to the invention, deep fusion of AI capability and field control, dynamic expansion and online updating of system functions and high-robustness autonomous operation under network abnormity are realized, and the intelligent level, flexibility and reliability of an Internet of Things system are remarkably improved.

The invention provides a design method and device for a deployment architecture and a storage medium, and the method comprises the steps: loading a webpage of a designer when a user logs in the designer; a canvas is arranged in the webpage; when it is verified that the user belongs to the deployment architecture design team in the project, primitives which are designed by the micro-service design team and / or the architecture design team in the project and represent system infrastructures are loaded in the canvas; configuring architecture deployment information for the primitives; and exporting the primitive and / or architecture deployment information as a deployment design result file. According to the embodiment, multi-person online design is provided for deployment architecture design, the multi-person cooperation capability is effectively improved, various design achievements in the project design process are undertaken, the deployment design efficiency is improved, the consistency and integrity of the design achievements are guaranteed, the adjustment of the project design achievements can be directly embodied and adjusted in the deployment architecture design, and the deployment architecture design efficiency is improved. And the accuracy of architecture deployment design is ensured.

A technique involves modular storage of network service plan components and provisioning of same. A subset of the capabilities of a service design system can be granted to a sandbox system to enable customization of service plan offerings or other controls.

This invention relates to the field of communication technology, specifically to a VSOME / IP-based service communication design system, comprising a service requirement decomposition module, an SOA service design module, and a service development and testing module. The service requirement decomposition module selects the SOA service communication function development method based on relevant requirements; the SOA service communication function development method is divided into top-down development and bottom-up development. The SOA service design module includes communication protocol design, communication method design, and service ID design. The service development and testing module includes service development and service testing. Service development is divided into server-side application development and client-side application development. Service testing includes functional debugging and network testing. Functional debugging is performed using LOG files or control terminal printouts. Network testing utilizes CANOE hardware or Wireshark software to monitor and analyze network packets, determining the correctness of the client-server interaction service discovery process and service data communication process, and finally outputting a service test report.

The invention provides a low-code development framework and method based on micro-service, relates to the technical field of computers, and solves the technical problems that in the prior art, diversified software development requirements of enterprises are difficult to meet, and resource conflicts, deployment coupling and service avalanche are likely to occur in the software development process. The framework specifically comprises service support design, micro-service design, storage design and deployment design. The service support design is used for providing key infrastructure and public service for the micro-service system; the micro-service design is used for constructing a series of small micro-services capable of independently bearing a service function based on a service field and a responsibility boundary; the storage design is used for selecting an adaptive storage scheme according to data characteristics and business requirements; the deployment design is used for supporting deployment and operation of the micro-service application under different operating systems. The method is used for secondary development of software products and customized software.

This invention discloses a method for optimizing resources in a drone-assisted, self-free, large-scale MIMO system. In a drone-assisted, self-free, large-scale MIMO system scenario, drones act as aerial access points, coordinating with ground access points to provide services to ground users. The specific design of this method includes designing user scheduling rules based on the coordinated service provision of aerial and ground access points; designing a communication model in which aerial and ground access points cooperate to provide services according to the scheduling rules; designing a fair resource allocation scheme including a user scheduling scheme, a drone positioning scheme, and a power allocation scheme to users; maximizing the minimum downlink speed for users in the above communication model; and finally, verifying the feasibility of the proposed utility model by optimization methods such as block coordinate descent and continuous convex optimization techniques. This invention can propose an optimal resource allocation strategy, including drones, depending on the current distribution of users and ground resources, achieving blind spot coverage for providing services to ground users.

The technology disclosed herein streamlines the design and provision of communication services supplied by a communication service provider. In a particular example, a method includes receiving service design parameters for a communication service provided by the communication service provider and identifying a root node in a service design catalog corresponding to at least a first parameter of the service design parameters. The method further includes creating a service design by traversing from the root node through one or more subsequent nodes defined by the service design catalog corresponding to one or more second parameters of the service design parameters until one or more leaf nodes indicated by the service design catalog are reached. The method also includes configuring resources corresponding to nodes traversed in the service design in accordance with the service design and providing the communication service via the resources.

This invention discloses a method for optimizing resources in a drone-assisted, self-free, large-scale MIMO system. In a drone-assisted, self-free, large-scale MIMO system scenario, drones act as aerial access points, coordinating with ground access points to provide services to ground users. The specific design of this method includes designing user scheduling rules based on the coordinated service provision of aerial and ground access points; designing a communication model in which aerial and ground access points cooperate to provide services according to the scheduling rules; designing a fair resource allocation scheme including a user scheduling scheme, a drone positioning scheme, and a power allocation scheme to users; maximizing the minimum downlink speed for users in the above communication model; and finally, verifying the feasibility of the proposed utility model by optimization methods such as block coordinate descent and continuous convex optimization techniques. This invention can propose an optimal resource allocation strategy, including drones, depending on the current distribution of users and ground resources, achieving blind spot coverage for providing services to ground users.

The invention provides a meteorological and pollutant interactive modeling and intelligent analysis system and method, and relates to the technical field of air pollution abatement.The meteorological and pollutant interactive modeling and intelligent analysis system comprises a front-end interactive layer, a rear-end service cluster, a machine learning model engine, a data storage layer and a communication interface layer. The method comprises the following steps: carrying out intelligent data cleaning on collected multi-source heterogeneous data, constructing a plurality of meteorological and pollutant intelligent analysis models, training the models, evaluating and comparing the trained models, selecting a final model, calculating SHAP based on the final model, carrying out feature contribution analysis, and outputting a visual result according to an analysis result. Through a Java front and back end separation architecture and micro-service design, automatic collection, intelligent cleaning, multi-model comparison training and multi-scale SHAP analysis of meteorological and pollutant data are realized, and a high-expandability and high-safety scheme is provided for environmental governance.

An example operation may include one or more of receiving a first code base and a second code base from a software repository, wherein each of the first and second code bases comprise source code of a plurality of different software programs, identifying a source code within the first code base that is interdependent with a source code within the second code base based on execution of a generative artificial intelligence (GenAI) model on the first and second code bases, determining a software component to connect the source code within the first code base to the source code within the second code base, and displaying an identifier of the software component via a user interface. The example operation may further include an AI agent that performs an action based on the identifier.

The invention discloses a code generation method based on multiple agents and a storage medium. The method comprises the steps that in response to a design request of a target system, a service design document corresponding to the design request is obtained, a multi-agent code generation system corresponding to the service design document is determined, the service design document comprises description information of function requirements of the target system, and the description information of the function requirements of the target system is stored in the multi-agent code generation system; the multi-agent code generation system comprises a plurality of code generation agents, and the multi-agent code generation system comprises at least two of a table design agent, a front-end code generation agent, a rear-end code generation agent and a code integration agent. And providing the service design document and the target cue word for the multi-agent code generation system to obtain a generated code of the target system, and generating a high-matching, low-defect and deployable complete system code, so that the code generation efficiency is remarkably improved.

The invention relates to the technical field of informatization public platforms, and discloses an informatization public platform service design method, which comprises the following steps of: 1, determining a service demand; step 2, function design; 3, designing a user interface; step 4, formulating a service process; 5, evaluating the service quality; step 6, implementing service monitoring; step 7, optimizing a service strategy; according to the method, the whole process from demand analysis to service optimization is included, the demands of users can be comprehensively met with high efficiency and high quality, the problems fed back by the users can be quickly responded and solved through regular service quality evaluation and service optimization, the efficiency, the service quality and the user friendliness of a public platform are improved, and the user experience is improved. By implementing service monitoring and optimizing a service strategy, the public platform can discover and solve problems in time, the service efficiency and quality are improved, factors such as data security can be comprehensively considered, and user privacy and information security are protected.