CN117422257A - Intelligent service integrated management system based on SaaS platform and use method thereof - Google Patents

Intelligent service integrated management system based on SaaS platform and use method thereof Download PDF

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Publication number
CN117422257A
CN117422257A CN202311426392.3A CN202311426392A CN117422257A CN 117422257 A CN117422257 A CN 117422257A CN 202311426392 A CN202311426392 A CN 202311426392A CN 117422257 A CN117422257 A CN 117422257A
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module
intelligent
service
user
intelligent service
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应鹏
钟樱珑
刘政兴
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Shenzhen Huashang Data Technology Co ltd
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Shenzhen Huashang Data Technology Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311—Scheduling, planning or task assignment for a person or group
    • G06Q10/063114—Status monitoring or status determination for a person or group
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/23—Updating
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25—Integrating or interfacing systems involving database management systems
    • G06F16/252—Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28—Databases characterised by their database models, e.g. relational or object models
    • G06F16/284—Relational databases
    • G06F16/285—Clustering or classification
    • G06F16/287—Visualization; Browsing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services

Abstract

The invention relates to the technical field of management systems, and discloses an intelligent service integrated management system based on a SaaS platform and a use method thereof, wherein a server side: a server for hosting the SaaS platform and managing the intelligent services; a user interface module: the user interface module is communicated with the server and is used for receiving and displaying the request, feedback and service information of the user; and a data storage module: a data storage module configured to store user data, intelligent service data, and configuration information, an intelligent service management module: registration, configuration, monitoring and updating of intelligent services; an intelligent service execution module; and a data analysis module. The intelligent service integrated management system based on the SaaS platform has the advantages of efficiency, individuation, real-time performance, safety, compliance and the like, enables enterprises to better manage and optimize intelligent services, provides higher-level flexibility and controllability, and is beneficial to improving business performance and customer satisfaction.

Description

Intelligent service integrated management system based on SaaS platform and use method thereof
Technical Field
The invention belongs to the technical field of management systems, and particularly relates to an intelligent service integrated management system based on a SaaS platform and a use method thereof.
Background
Software as a service (SaaS) platforms have become a common way for enterprises to deploy and use software. The SaaS model provides software through the cloud infrastructure, enabling users to access applications remotely without the need to install and maintain the software locally. This provides greater flexibility and scalability. Meanwhile, with the development of Artificial Intelligence (AI) and Machine Learning (ML) technologies, intelligent services are widely used in business and personal life. These services include natural language processing, image recognition, data analysis, etc., which may be used for various purposes such as customer support, decision support, automation tasks, etc.
In the above context, there are problems that can lead to enterprises and organizations that are challenged in managing and utilizing intelligent services, as follows: first, different enterprises and usage scenarios may require different configurations and customizations of intelligent services to meet their specific business needs. Conventional service management methods may not be adequate to provide this degree of personalization; second, enterprises often need to use multiple types of intelligent services, which may come from different suppliers, each with different configurations and interfaces; managing and coordinating these diverse services can become complex, especially in large-scale enterprises; third, obtaining in-depth data analysis about intelligent services and user behavior is critical to improving service and business decisions. However, conventional methods may not provide adequate data analysis and insight.
Based on the problems, the invention develops an intelligent service integrated management system based on a SaaS platform, and aims to solve the problems and provide a more convenient, personalized, real-time, safe and data-driven intelligent service management method. Features of this system include registration, configuration, monitoring, updating, data analysis, and multi-lingual multi-device support of intelligent services to address the needs and challenges of modern enterprises for intelligent services.
The present invention has been made in view of this.
Disclosure of Invention
In order to solve the technical problems, the invention adopts the basic conception of the technical scheme that:
based on SaaS platform intelligent service integrated management system, server side: a server for hosting the SaaS platform and managing the intelligent services; a user interface module: the user interface module is communicated with the server and is used for receiving and displaying the request, feedback and service information of the user; and a data storage module: a data storage module configured to store user data, intelligent service data, and configuration information; intelligent service management module: an intelligent service management module configured to manage a plurality of intelligent services, including registration, configuration, monitoring, and updating of the intelligent services; the intelligent service execution module: an intelligent service for executing the user request, cooperating with the intelligent service management module to determine an optimal service execution policy; and a data analysis module: is configured to analyze the user data and the intelligent service data to generate service suggestions and refinement policies.
As a preferred embodiment of the present invention, the intelligent service management module comprises an intelligent service booklet module, and the intelligent service registration submodule allows enterprise clients to register their intelligent services into the system, wherein the intelligent services comprise basic information, description, license information and access control rules for providing services, and each registered intelligent service is assigned with a unique identifier; the intelligent service management module comprises an intelligent service configuration sub-module which allows enterprise clients to perform customized configuration on registered intelligent services according to requirements of the enterprise clients, wherein the intelligent service configuration sub-module comprises the steps of determining parameters, data sources, input/output formats of the services and integrating modes with other services.
As a preferred embodiment of the present invention, the intelligent service management module includes an intelligent service monitoring sub-module, which is responsible for monitoring the performance and running state of the configured intelligent service in real time, and provides performance indexes, logs, error reports and tracking information of user requests; the intelligent service management module comprises an intelligent service updating sub-module which allows enterprise clients to update registered intelligent services, including but not limited to upgrading to new versions, modifying configurations and applying security patches; the intelligent service management module includes a service directory and target management sub-module that allows enterprise customers to view all available intelligent services, their functionality and version information, and that supports assigning services to specific targets to ensure that the services are properly mapped to specific needs within the enterprise.
As a preferred embodiment of the present invention, the intelligent service management module further comprises an enterprise level configuration sub-module, a cost management and billing sub-module, a troubleshooting and support sub-module, a security and compliance sub-module, and a data integration and reporting sub-module.
As a preferred embodiment of the invention, the intelligent service execution module comprises a user request receiving module, a service information retrieval module, a service execution policy decision module, a service execution module, a real-time monitoring module and an artificial intelligent auxiliary decision execution sub-module, wherein the service execution policy decision module further comprises a data analysis and matching module, a resource allocation module and an execution plan generation module, the artificial intelligent auxiliary decision execution sub-module supports decision making by utilizing machine learning and data analysis technology, the artificial intelligent auxiliary decision execution sub-module makes decisions according to dynamic changes of historical performance and user requirements by training a model, and optimizes the execution policy.
As a preferred embodiment of the present invention, the server is configured to communicate with a plurality of user devices through a network to provide a service of the SaaS platform; the user interface module is configured to communicate with the user device through a Web browser or mobile application; the data storage module is configured to employ distributed storage techniques to ensure security and scalability of the data.
As a preferred embodiment of the present invention, the intelligent service management module is configured to support multiple types of intelligent services, including but not limited to natural language processing, machine learning, image processing; the data analysis module is configured to generate user behavior analysis, performance reports, and suggested improvement measures.
As a preferred embodiment of the present invention, the server side, the user interface module, the data storage module, the intelligent service management module, the intelligent service execution module and the data analysis module communicate with each other through an API interface; the user interface module is configured to support multiple languages and multiple device accesses.
The application method of the intelligent service integrated management system based on the SaaS platform comprises the following working steps:
the first step: opening a Web browser or mobile application and accessing a login page of the system, inputting valid login credentials, such as a user name and password, clicking a login button to access the system;
and a second step of: once logged in successfully, the user will be directed to the dashboard or service directory of the system; in the service directory, the user can browse all available intelligent services, including various types such as natural language processing, machine learning, and image processing; the user can view basic information, description and version information of each service;
and a third step of: if the user wishes to use a certain intelligent service, the user can select the service and enter a registration process; in the intelligent service booklet module, the user needs to provide necessary information including basic information, description, license information and access control rules of the service; the intelligent service management module allocates a unique identifier for the service; the user can choose to save the registration information and complete the registration process; once the registration is successful, the user can perform customized configuration on the registered intelligent service according to the requirements of the user; in the intelligent service configuration sub-module, a user can determine parameters, data sources, input/output formats of services and integration modes with other services; the user can save the configuration information to ensure that the intelligent service operates according to the requirements;
fourth step: the user can enter an intelligent service monitoring sub-module to monitor the performance and the running state of the configured intelligent service in real time; the user can view performance indexes, logs, error reports and tracking information requested by the user; if the user needs to update the registered intelligent service, they can enter an intelligent service update sub-module; the user may perform an update operation, such as upgrading to a new version, modifying a configuration, or applying a security patch;
fifth step: a user can enter a data analysis module to analyze user data and intelligent service data; the data analysis module will generate user behavior analysis, performance reports and suggested improvements to optimize the use of the service; users may use security and compliance sub-modules to ensure the security and compliance of intelligent services, such as applying appropriate security policies and regulations;
sixth step: the user may integrate data for different intelligent services using the data integration and reporting sub-module and generate a customized report.
Compared with the prior art, the invention has the following beneficial effects:
1. the intelligent service integrated management system based on the SaaS platform has the advantages of efficiency, individuation, real-time performance, safety, compliance and the like, enables enterprises to better manage and optimize intelligent services, provides higher-level flexibility and controllability, and is beneficial to improving business performance and customer satisfaction.
2. The sub-modules of the intelligent service management module cooperate with each other to provide a comprehensive intelligent service management solution, and enterprise clients can register, configure, monitor and update various intelligent services through the sub-modules to meet specific business requirements. At the same time, these sub-modules also allow a system administrator to easily manage multiple intelligent services, ensuring that they are continuously available and meet customer requirements.
3. The intelligent service execution module can efficiently run a plurality of intelligent services by adopting the working mode, optimize the execution strategy of the services according to different user requests and system load conditions, provide flexibility and expandability, meet the requirements of enterprise clients on various intelligent services, and simultaneously improve the performance and the resource utilization to the greatest extent. In addition, by cooperating with the intelligent service management module, it ensures that the registration, configuration, monitoring and updating of services are consistent with the execution process, forming a complete intelligent service lifecycle management solution.
4. The intelligent service comprehensive management system based on the SaaS platform has the convenience of intelligent service integration and management, allows enterprise clients to easily register, configure, monitor and update various intelligent services, simplifies the complexity of managing a plurality of intelligent services, provides a centralized management platform, and saves time and resources by avoiding the need of independently managing each service for enterprises.
5. The intelligent service comprehensive management system based on the SaaS platform can realize personalized customization, allows enterprise clients to perform personalized configuration on intelligent services according to specific requirements, means that enterprises can finely adjust parameters, data sources, input/output formats and the like of the services according to business processes and targets of the enterprises so as to meet unique requirements, and the personalized customization improves adaptability and efficiency of the intelligent services.
6. The invention can monitor in real time, through the intelligent service monitoring sub-module, the enterprise can monitor the performance and the running state of the configured intelligent service in real time, which is helpful for the enterprise to rapidly identify performance problems, errors and bottlenecks and take corresponding measures to improve the availability and the efficiency of the service. The system of the invention allows enterprise clients to update registered intelligent services, including updating to new versions, modifying configuration or applying security patches, which ensures that enterprises always use the latest versions of services and maintains the security of the system.
7. The invention can analyze and improve data, the data analysis module provides deep analysis for user data and intelligent service data, and generates user behavior analysis, performance report and improvement suggestion, which is helpful for enterprises to better know user demands, service use condition and possible improvement points, thereby improving accuracy and efficiency of business decision.
The following describes the embodiments of the present invention in further detail with reference to the accompanying drawings.
Drawings
In the drawings:
FIG. 1 is a schematic diagram of an intelligent service integrated management system according to the present invention;
fig. 2 is a schematic diagram of an intelligent service management module according to the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and the following embodiments are used to illustrate the present invention.
An intelligent service integrated management system based on a SaaS platform is shown in fig. 1 and 2, and a server side: a server for hosting the SaaS platform and managing the intelligent services; a user interface module: the user interface module is communicated with the server and is used for receiving and displaying the request, feedback and service information of the user; and a data storage module: a data storage module configured to store user data, intelligent service data, and configuration information; intelligent service management module: an intelligent service management module configured to manage a plurality of intelligent services, including registration, configuration, monitoring, and updating of the intelligent services; the intelligent service execution module: an intelligent service for executing the user request, cooperating with the intelligent service management module to determine an optimal service execution policy; and a data analysis module: is configured to analyze the user data and the intelligent service data to generate service suggestions and refinement policies.
Specifically, the intelligent service management module comprises an intelligent service booklet module, and an intelligent service registration submodule allows enterprise clients to register their intelligent services into a system, wherein the intelligent service registration submodule comprises basic information, description, license information and access control rules for providing services, and each registered intelligent service is allocated with a unique identifier; the enterprise client may register new intelligent services into the system through a user interface or API interface. The intelligent service booklet module will verify and record the information provided and create a configuration file for each service for subsequent use.
Specifically, the intelligent service management module comprises an intelligent service configuration sub-module, which allows enterprise clients to perform customized configuration on registered intelligent services according to the requirements of the enterprise clients, including determining parameters, data sources, input/output formats of the services and integrating modes with other services. The enterprise client may access the intelligent service configuration sub-module through a user interface or an API interface to customize the configuration of the registered intelligent services. The system will verify the validity of the configuration and associate the configuration information with the registration information of the intelligent service.
Specifically, the intelligent service management module comprises an intelligent service monitoring sub-module, wherein the intelligent service monitoring sub-module is responsible for monitoring the performance and running state of the configured intelligent service in real time, and the intelligent service monitoring sub-module provides performance indexes, logs, error reports and tracking information of user requests; the intelligent service monitoring sub-module periodically polls the configured intelligent service and collects performance indexes and log data. The intelligent service monitoring sub-module also monitors processing time and success or failure of the user request. If an anomaly occurs, the system will generate an error report and notify the relevant personnel.
Specifically, the intelligent service management module includes an intelligent service update sub-module that allows enterprise customers to update registered intelligent services, including but not limited to upgrading to new versions, modifying configurations, applying security patches; the enterprise client may access the intelligent service update sub-module through a user interface or an API interface to request an update of the service. The system will verify the validity of the update and ensure minimal interference with the running service during the update.
Specifically, the intelligent service management module includes a service directory and target management sub-module that allows enterprise customers to view all available intelligent services, their functionality and version information, and that supports assigning services to specific targets to ensure that the services are properly mapped to specific needs within the enterprise. The enterprise client may browse the available intelligent services through the service directory and goal management submodule, select a service appropriate to its needs, and assign it to a particular goal or project. This helps to organize and manage different intelligent services.
The sub-modules of the intelligent service management module cooperate with each other to provide a comprehensive intelligent service management solution, and enterprise clients can register, configure, monitor and update various intelligent services through the sub-modules to meet specific business requirements. At the same time, these sub-modules also allow a system administrator to easily manage multiple intelligent services, ensuring that they are continuously available and meet customer requirements.
The intelligent service management module also comprises an enterprise level configuration sub-module, a cost management and charging sub-module, a fault removal and support sub-module, a security and compliance sub-module and a data integration and reporting sub-module.
In particular, the enterprise-level configuration sub-module allows enterprise customers to configure according to their particular business needs. This includes selection of intelligent services, workflow, data interfaces, user interface appearances and functions.
Specifically, the cost management and billing sub-module is responsible for tracking intelligent service usage of the enterprise client and generating corresponding billing information, and allows the enterprise client to monitor ITs IT expenditures and perform cost control.
Specifically, the troubleshooting and supporting sub-module supports real-time monitoring and troubleshooting to ensure that the system is continuously available, and the troubleshooting and supporting sub-module also provides a supporting channel to enable enterprise clients to report problems and obtain timely assistance.
Specifically, the security and compliance submodule is responsible for ensuring that the system meets the security and compliance requirements of enterprise customers, and the security and compliance submodule comprises data encryption, identity verification, audit and compliance reporting functions.
The intelligent service execution module comprises a user request receiving module, a service information retrieval module, a service execution policy decision module, a service execution module, a real-time monitoring module and an artificial intelligent auxiliary decision execution sub-module, wherein the service execution policy decision module further comprises a data analysis and matching module, a resource allocation module and an execution plan generation module, the artificial intelligent auxiliary decision execution sub-module supports decision making by utilizing machine learning and data analysis technologies, the artificial intelligent auxiliary decision execution sub-module makes decisions according to historical performance and dynamic changes of user requirements by training a model, and the execution policy is optimized.
A user request receiving module: when a user submits a request, the intelligent service execution module first receives the request and determines the intelligent service to be executed based on the specified service identifier in the request.
Service information retrieval module: the service information retrieval module obtains detailed information about the requested service, including available computing resources, algorithm options, data sources, and configuration parameters, by communicating with the intelligent service management module.
Service execution policy decision module: after the service information is acquired, the service execution policy decision module uses the artificial intelligence auxiliary decision execution sub-module to decide the optimal service execution policy, and specifically comprises the following steps:
data analysis and matching module: the data analysis and matching module determines which configuration and algorithm is best suited to solve the problem by analyzing the data, requirements and goals in the user request, and the characteristics in the service information.
A resource allocation module: the resource allocation module allocates execution tasks according to available computing resources (e.g., CPU, GPU, memory) and service loads. This may involve the co-operation of multiple resources to meet performance and efficiency requirements.
An execution plan generation module: based on the data analysis and resource allocation, the module generates a detailed execution plan including data processing flow, algorithm selection, parameter configuration, and task scheduling.
The service execution module: the service execution module starts the execution of the intelligent service according to the generated execution plan. This may involve preprocessing of the data, application of specific algorithms, data storage and result generation.
And the real-time monitoring module is used for: the real-time monitoring module monitors the execution condition of the service in real time, including performance indexes, runtime errors and abnormal conditions. If a problem occurs, it will take appropriate action such as retry or alarm notification.
Finally, the result is returned: once the intelligent service execution is complete, the module returns the results to the user interface module for viewing or further processing by the user.
It should be noted that among the artificial intelligence assistant decision making sub-modules, the artificial intelligence assistant decision making sub-module is a core component of the intelligent service execution module, which supports decision making using machine learning and data analysis techniques. The artificial intelligence aid decision-making execution sub-module may train the model to make decisions based on historical performance and dynamic changes in user demand to optimize the execution strategy. For example, it may automatically identify which algorithm performs best on a particular data set and adjust the resource allocation based on the load situation.
The intelligent service execution module can efficiently run a plurality of intelligent services by adopting the working mode, optimize the execution strategy of the services according to different user requests and system load conditions, provide flexibility and expandability, meet the requirements of enterprise clients on various intelligent services, and simultaneously improve the performance and the resource utilization to the greatest extent. In addition, by cooperating with the intelligent service management module, it ensures that the registration, configuration, monitoring and updating of services are consistent with the execution process, forming a complete intelligent service lifecycle management solution.
The server side is configured to communicate with a plurality of user equipment through a network to provide services of the SaaS platform; the user interface module is configured to communicate with the user device through a Web browser or mobile application; the data storage module is configured to employ distributed storage techniques to ensure security and scalability of the data.
The intelligent service management module is configured to support multiple types of intelligent services including, but not limited to, natural language processing, machine learning, image processing; the data analysis module is configured to generate user behavior analysis, performance reports, and suggested improvement measures.
The server side, the user interface module, the data storage module, the intelligent service management module, the intelligent service execution module and the data analysis module are communicated through an API interface; the user interface module is configured to support multiple languages and multiple device accesses.
The intelligent service comprehensive management system based on the SaaS platform has the convenience of intelligent service integration and management, allows enterprise clients to easily register, configure, monitor and update various intelligent services, simplifies the complexity of managing a plurality of intelligent services, provides a centralized management platform, and saves time and resources by avoiding the need of independently managing each service for enterprises.
The intelligent service comprehensive management system based on the SaaS platform can realize personalized customization, allows enterprise clients to perform personalized configuration on intelligent services according to specific requirements, means that enterprises can finely adjust parameters, data sources, input/output formats and the like of the services according to business processes and targets of the enterprises so as to meet unique requirements, and the personalized customization improves adaptability and efficiency of the intelligent services.
The invention can monitor in real time, through the intelligent service monitoring sub-module, the enterprise can monitor the performance and the running state of the configured intelligent service in real time, which is helpful for the enterprise to rapidly identify performance problems, errors and bottlenecks and take corresponding measures to improve the availability and the efficiency of the service. The system of the invention allows enterprise clients to update registered intelligent services, including updating to new versions, modifying configuration or applying security patches, which ensures that enterprises always use the latest versions of services and maintains the security of the system.
The invention can analyze and improve data, the data analysis module provides deep analysis for user data and intelligent service data, and generates user behavior analysis, performance report and improvement suggestion, which is helpful for enterprises to better know user demands, service use condition and possible improvement points, thereby improving accuracy and efficiency of business decision.
The intelligent service integrated management system based on the SaaS platform has the advantages of efficiency, individuation, real-time performance, safety, compliance and the like, enables enterprises to better manage and optimize intelligent services, provides higher-level flexibility and controllability, and is beneficial to improving business performance and customer satisfaction.
The application method of the intelligent service integrated management system based on the SaaS platform comprises the following working steps:
the first step: opening a Web browser or mobile application and accessing a login page of the system, inputting valid login credentials, such as a user name and password, clicking a login button to access the system;
and a second step of: once logged in successfully, the user will be directed to the dashboard or service directory of the system; in the service directory, the user can browse all available intelligent services, including various types such as natural language processing, machine learning, and image processing; the user can view basic information, description and version information of each service;
and a third step of: if the user wishes to use a certain intelligent service, the user can select the service and enter a registration process; in the intelligent service booklet module, the user needs to provide necessary information including basic information, description, license information and access control rules of the service; the intelligent service management module allocates a unique identifier for the service; the user can choose to save the registration information and complete the registration process; once the registration is successful, the user can perform customized configuration on the registered intelligent service according to the requirements of the user; in the intelligent service configuration sub-module, a user can determine parameters, data sources, input/output formats of services and integration modes with other services; the user can save the configuration information to ensure that the intelligent service operates according to the requirements;
fourth step: the user can enter an intelligent service monitoring sub-module to monitor the performance and the running state of the configured intelligent service in real time; the user can view performance indexes, logs, error reports and tracking information requested by the user; if the user needs to update the registered intelligent service, they can enter an intelligent service update sub-module; the user may perform an update operation, such as upgrading to a new version, modifying a configuration, or applying a security patch;
fifth step: a user can enter a data analysis module to analyze user data and intelligent service data; the data analysis module will generate user behavior analysis, performance reports and suggested improvements to optimize the use of the service; users may use security and compliance sub-modules to ensure the security and compliance of intelligent services, such as applying appropriate security policies and regulations;
sixth step: the user may integrate data for different intelligent services using the data integration and reporting sub-module and generate a customized report.
It will be understood that the invention has been described in terms of several embodiments, and that various changes and equivalents may be made to these features and embodiments by those skilled in the art without departing from the spirit and scope of the invention. In addition, many modifications may be made to adapt a particular situation or material to the teachings of the invention without departing from the essential scope thereof. Therefore, it is intended that the invention not be limited to the particular embodiment disclosed, but that the invention will include all embodiments falling within the scope of the appended claims.

Claims (9)

1. The intelligent service integrated management system based on the SaaS platform is characterized in that: a server for hosting the SaaS platform and managing the intelligent services; a user interface module: the user interface module is communicated with the server and is used for receiving and displaying the request, feedback and service information of the user; and a data storage module: a data storage module configured to store user data, intelligent service data, and configuration information; intelligent service management module: an intelligent service management module configured to manage a plurality of intelligent services, including registration, configuration, monitoring, and updating of the intelligent services; the intelligent service execution module: an intelligent service for executing the user request, cooperating with the intelligent service management module to determine an optimal service execution policy; and a data analysis module: is configured to analyze the user data and the intelligent service data to generate service suggestions and refinement policies.
2. The SaaS platform-based intelligent service integrated management system of claim 1, wherein the intelligent service management module comprises an intelligent service booklet module, and wherein the intelligent service registration submodule allows enterprise customers to register their intelligent services into the system, including providing basic information, descriptions, license information and access control rules for the services, each registered intelligent service being assigned a unique identifier; the intelligent service management module comprises an intelligent service configuration sub-module which allows enterprise clients to perform customized configuration on registered intelligent services according to requirements of the enterprise clients, wherein the intelligent service configuration sub-module comprises the steps of determining parameters, data sources, input/output formats of the services and integrating modes with other services.
3. The SaaS platform-based intelligent service integrated management system of claim 1, wherein the intelligent service management module comprises an intelligent service monitoring sub-module responsible for monitoring the performance and running state of the configured intelligent service in real time, the intelligent service monitoring sub-module providing performance index, log, error report and tracking information of user request; the intelligent service management module comprises an intelligent service updating sub-module which allows enterprise clients to update registered intelligent services, including but not limited to upgrading to new versions, modifying configurations and applying security patches; the intelligent service management module includes a service directory and target management sub-module that allows enterprise customers to view all available intelligent services, their functionality and version information, and that supports assigning services to specific targets to ensure that the services are properly mapped to specific needs within the enterprise.
4. The SaaS platform based intelligent service integrated management system of claim 1, wherein the intelligent service management module further comprises an enterprise level configuration sub-module, a cost management and billing sub-module, a troubleshooting and support sub-module, a security and compliance sub-module, and a data integration and reporting sub-module.
5. The SaaS platform-based intelligent service integrated management system of claim 1, wherein the intelligent service execution module comprises a user request receiving module, a service information retrieving module, a service execution policy decision module, a service execution module, a real-time monitoring module and an artificial intelligent auxiliary decision execution sub-module, wherein the service execution policy decision module further comprises a data analysis and matching module, a resource allocation module and an execution plan generating module, the artificial intelligent auxiliary decision execution sub-module supports decision making by using machine learning and data analysis technologies, the artificial intelligent auxiliary decision execution sub-module trains a model to make decisions according to dynamic changes of historical performance and user requirements, and optimizes execution policies.
6. The SaaS platform based intelligent service integrated management system according to claim 1, wherein the server side is configured to communicate with a plurality of user devices through a network to provide services of the SaaS platform; the user interface module is configured to communicate with the user device through a Web browser or mobile application; the data storage module is configured to employ distributed storage techniques to ensure security and scalability of the data.
7. The SaaS platform based intelligent service integrated management system of claim 1, wherein the intelligent service management module is configured to support multiple types of intelligent services including, but not limited to, natural language processing, machine learning, image processing; the data analysis module is configured to generate user behavior analysis, performance reports, and suggested improvement measures.
8. The integrated management system for intelligent services based on the SaaS platform according to claim 1, wherein the server side, the user interface module, the data storage module, the intelligent service management module, the intelligent service execution module and the data analysis module communicate with each other through API interfaces; the user interface module is configured to support multiple languages and multiple device accesses.
9. The application method of the intelligent service integrated management system based on the SaaS platform is characterized by comprising the following working steps:
the first step: opening a Web browser or mobile application and accessing a login page of the system, inputting valid login credentials, such as a user name and password, clicking a login button to access the system;
and a second step of: once logged in successfully, the user will be directed to the dashboard or service directory of the system; in the service directory, the user can browse all available intelligent services, including various types such as natural language processing, machine learning, and image processing; the user can view basic information, description and version information of each service;
and a third step of: if the user wishes to use a certain intelligent service, the user can select the service and enter a registration process; in the intelligent service booklet module, the user needs to provide necessary information including basic information, description, license information and access control rules of the service; the intelligent service management module allocates a unique identifier for the service; the user can choose to save the registration information and complete the registration process; once the registration is successful, the user can perform customized configuration on the registered intelligent service according to the requirements of the user; in the intelligent service configuration sub-module, a user can determine parameters, data sources, input/output formats of services and integration modes with other services; the user can save the configuration information to ensure that the intelligent service operates according to the requirements;
fourth step: the user can enter an intelligent service monitoring sub-module to monitor the performance and the running state of the configured intelligent service in real time; the user can view performance indexes, logs, error reports and tracking information requested by the user; if the user needs to update the registered intelligent service, they can enter an intelligent service update sub-module; the user may perform an update operation, such as upgrading to a new version, modifying a configuration, or applying a security patch;
fifth step: a user can enter a data analysis module to analyze user data and intelligent service data; the data analysis module will generate user behavior analysis, performance reports and suggested improvements to optimize the use of the service; users may use security and compliance sub-modules to ensure the security and compliance of intelligent services, such as applying appropriate security policies and regulations;
sixth step: the user may integrate data for different intelligent services using the data integration and reporting sub-module and generate a customized report.
CN202311426392.3A 2023-10-27 2023-10-27 Intelligent service integrated management system based on SaaS platform and use method thereof Pending CN117422257A (en)

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