An internet-based service management system

Abstract

The application discloses an internet-based service management system, and a running method thereof, which comprises the following steps: performing distributed computing management on the internet service management system; performing sharing and building processing on the internet service management system; performing analysis control processing on the internet service management system; performing display feedback control on the internet service management system; the distributed computing management on the internet service management system comprises the following steps: building an edge cluster within a terminal device setting range, deploying computing and storage resources, transferring data processing and storage from a cloud computing center to the terminal device setting range, dispersing data processing and storage to a selected number of edge devices, deploying corresponding AI models into the terminal devices, and enabling the terminal devices to request AI services in the edge cluster to perform data analysis processing. The application has the characteristics of intelligent service processing and high practicability.

Description

Technical Field

[0001] This invention relates to the field of Internet technology, specifically to an Internet-based service management system. Background Technology

[0002] In recent years, a new round of technological revolution and industrial transformation has developed rapidly. The internet has extended rapidly from the consumer sector to the production sector, and the industrial economy has expanded deeply from digitalization to networking and intelligence. The innovative development of the internet and the new industrial revolution have converged historically, giving rise to the Industrial Internet. The Industrial Internet is a new type of infrastructure, application model, and industrial ecosystem that deeply integrates next-generation information and communication technologies with the industrial economy. Through comprehensive connectivity of people, machines, things, and systems, it constructs a new manufacturing and service system covering the entire industrial chain and value chain, providing a pathway for the digital, networked, and intelligent development of industry and even the entire industrial sector. However, due to the extremely wide distribution of devices and the diverse types of interactive data in Industrial Internet systems, data privacy and security are often difficult to guarantee. On the other hand, since most devices operate without human control, and the computing resources of such devices are significantly scarce, the use and service of the Industrial Internet are severely affected. Therefore, it is essential to design an intelligent service processing and highly practical internet-based service management system. Summary of the Invention

[0003] The purpose of this invention is to provide an Internet-based service management system to solve the problems mentioned in the background section.

[0004] To address the aforementioned technical problems, this invention provides the following technical solution: an Internet-based service management method, comprising:

[0005] Perform distributed computing management for the Internet service management system;

[0006] The sharing and setup of the Internet service management system;

[0007] To perform analysis, control, and processing within the Internet service management system;

[0008] To control the display and feedback of the Internet service management system;

[0009] The distributed computing management of the Internet service management system includes:

[0010] By building an edge cluster within a defined range of terminal devices and deploying computing and storage resources, data processing and storage are transferred from the cloud computing center to the defined range of terminal devices. Data processing and storage are distributed to a selected number of edge devices, and corresponding AI models are deployed to the terminal devices, enabling the terminal devices to request AI services in the edge cluster for data analysis and processing.

[0011] According to the above technical solution, the sharing and setup of the Internet service management system includes:

[0012] A data security sharing layer is built using the FiscoBcos consortium blockchain, enabling nodes to verify or publish transactions and controlling that only nodes on the consortium blockchain can read, modify, and access transactions. At the same time, each node in the consortium blockchain has a unique private key. If nodes need to exchange information and data, they must exchange private keys. This ensures the flow of information while avoiding the problem of node privacy leakage.

[0013] Webase builds a common component between blockchain applications and FISCOBCOS nodes, with functions including contract management and data storage.

[0014] According to the above technical solution, the analysis and control processing of the Internet service management system includes:

[0015] Blockchain nodes and edge cluster nodes are deployed on edge servers. After the data is sensed by the Internet terminal, it is uploaded to the blockchain node. The node extracts the data hash value and puts it on the chain. The edge cluster nodes in the edge server can access the data and complete the analysis and processing.

[0016] According to the above technical solution, the analysis and control processing of the Internet service management system further includes:

[0017] By adopting Docker containerization technology, the Docker engine is installed on terminal devices and edge servers respectively. At the same time, Docker Swarm technology is used to build an edge cluster. Terminal devices in the cluster can send task requests to the management node, and the tasks are assigned to the corresponding worker nodes through scheduling and task allocation algorithms to achieve fast data processing.

[0018] The AI ​​models in the edge cluster are optimized by using an iterative pruning method to achieve the set target sparsity.

[0019] According to the above technical solution, the display feedback control of the Internet service management system includes:

[0020] After collecting the data information set by the staff in real time, the data is transmitted to the staff for processing, analysis and review.

[0021] Users can evaluate and provide feedback on the Internet service management system based on the settings options, so that subsequent optimizations can better meet user needs.

[0022] According to the above technical solution, an Internet-based service management system includes:

[0023] The management and control module is used for the management and control of the Internet service management system;

[0024] The analysis and processing module is used for optimization analysis and processing of the Internet service management system;

[0025] The display and feedback module is used for the display and feedback management of data information.

[0026] According to the above technical solution, the management and control module includes:

[0027] The distributed computing module is used for the design and control of distributed computing in the system.

[0028] The secure sharing module is used for secure sharing management of data information;

[0029] Set up a control module for building and controlling the Internet service management system.

[0030] According to the above technical solution, the analysis and processing module includes:

[0031] The on-chain management module is used for the control and management of on-chain data information;

[0032] The architecture management module is used for the construction and management of the Internet service management system;

[0033] The optimization analysis module is used for system model optimization analysis.

[0034] According to the above technical solution, the display feedback module includes:

[0035] The display processing module is used for displaying and processing data information.

[0036] The feedback management module is used for managing user feedback.

[0037] Compared with existing technologies, the beneficial effects achieved by this invention are as follows: By incorporating a management and control module, an analysis and processing module, and a display and feedback module, this invention can process and store data more quickly, reduce data transmission time and distance, thereby improving data processing efficiency and reducing latency. It also reduces the risk of single points of failure in the system, increases system reliability and security, and meets users' intelligent service needs. Attached Figure Description

[0038] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0039] Figure 1This is a flowchart of an Internet-based service management method provided in Embodiment 1 of the present invention;

[0040] Figure 2 This is a module configuration diagram of an Internet-based service management system provided in Embodiment 2 of the present invention. Detailed Implementation

[0041] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0042] Example 1: Figure 1 This is a flowchart illustrating an Internet-based service management method provided in Embodiment 1 of the present invention. This embodiment can be applied to an Internet service management system. The method can be executed by an Internet-based service management system provided in this embodiment, which consists of multiple software and hardware modules, such as... Figure 1 As shown, the method specifically includes the following steps:

[0043] S101. Perform distributed computing management for the Internet service management system;

[0044] For example, in this embodiment of the invention, by building an edge cluster within a defined range of terminal devices and deploying computing and storage resources, data processing and storage are transferred from the cloud computing center to the defined range of terminal devices. Data processing and storage are distributed to a selected number of edge devices, and corresponding AI models are deployed on the terminal devices, enabling the terminal devices to request AI services from the edge cluster for data analysis and processing. In traditional industrial internet systems, terminal data is typically collected by the terminal devices and directly transmitted to the cloud computing center for processing. This approach has several problems, such as data transmission being susceptible to network congestion, data leakage, and data tampering, potentially leading to low processing efficiency and latency. Therefore, by employing edge computing in this step, data can be processed and stored more quickly, reducing data transmission time and distance, thereby improving data processing efficiency and reducing latency. This also reduces the risk of single points of failure in the system, increases system reliability and security, and meets users' intelligent service needs.

[0045] S102. Sharing and setting up the Internet service management system;

[0046] For example, in this embodiment of the invention, a data security sharing layer is constructed using the FiscoBcos consortium blockchain, enabling nodes to verify or publish transactions and controlling that only nodes on the consortium blockchain can perform read, modify, and access activities. Simultaneously, each node in the consortium blockchain has a unique private key. If nodes need to exchange information and data, they must exchange their private keys, ensuring information flow while avoiding node privacy leaks. In this step, the terminal device is responsible for data collection, and the terminal device data needs to be processed on the blockchain. Each terminal device communicates with the blockchain node in the nearest edge server. The terminal device transmits the generated data to the edge server at set intervals, naming the data according to its generation time. A dedicated folder for receiving data is set up on the edge server, and an automatic on-chain algorithm smart contract is deployed. When new data is generated in this folder, the on-chain algorithm is triggered for shared analysis and processing.

[0047] A Webase general component is built between the blockchain application and the FISCOBCOS node, with functions including contract management and data storage. In this step, contract management provides functions for managing a list of smart contracts, CRUD operations, and event viewing. After the administrator successfully writes and deploys a smart contract, they select the user to send the transaction and the smart contract function method. After the contract is executed, the transaction record will be written to the blockchain network for storage. Data storage uses a MySQL database to store data records. Each blockchain node corresponds to a database, named after the node.

[0048] S103. Perform analysis and control processing of the Internet service management system;

[0049] For example, in this embodiment of the invention, blockchain nodes and edge cluster nodes are deployed on an edge server. After the internet terminal senses the data, it is uploaded to the blockchain node. The node extracts the data hash value and uploads it to the blockchain. The edge cluster nodes in the edge server can access the data and complete the analysis and processing. In this step, the sensed data collected in real time is uploaded to the blockchain for evidence storage, and the storage space of the terminal device deploying the blockchain algorithm on the edge server and the edge server can access each other. At the same time, a shared folder is created to receive data, and a monitoring script is used to automatically sense new files and trigger the blockchain algorithm. When a new transaction is generated, all blockchain nodes participate in the consensus process. Through the PBFT consensus algorithm, nodes need to interact to confirm whether the transaction is legal. When all nodes reach a consensus, a new block is generated. The newly added block represents that the data has been successfully saved to the blockchain network, effectively ensuring the data security of the system terminal data.

[0050] By employing Docker containerization technology, the Docker engine is installed on both terminal devices and edge servers. Simultaneously, Docker Swarm technology is used to build an edge cluster. Terminal devices in the cluster can send task requests to the management node, which then assigns them to the appropriate worker nodes using scheduling and task allocation algorithms for rapid data processing. In this step, when the terminal device's computing power is insufficient to perform data processing, it sends a task request to the nearest Master node in the edge cluster, transmitting the data to be processed. The Master node, acting as the task allocator and resource scheduler in the cluster, is responsible for receiving task requests from various terminal devices, finding the corresponding service image file in the image repository based on the requested service type, allocating the task to the appropriate worker node using the scheduling algorithm, and deploying the image file as a service. The image repository serves as a storage center for various task request service images, acting as an image template for the Master node to create services, and also allowing administrators to develop and create new image files. Worker nodes, as the actual runners of services in the cluster, provide computing resources and run services to process task requests from terminal devices by receiving commands from the Master node. This process enables rapid data processing services.

[0051] The AI ​​model in the edge cluster is optimized by iterative pruning to achieve the set target sparsity. In this step, iterative pruning is a widely used pruning method. The advantage of iterative pruning over single pruning is that it can not only remove obviously useless weights, but also retain some useful weights, thereby improving the performance of the model.

[0052] S104. Perform display feedback control for the Internet service management system;

[0053] For example, in this embodiment of the invention, the data information content set by the staff is collected in real time and then transmitted to the staff for processing, analysis and review.

[0054] Users can evaluate and provide feedback on the Internet service management system based on the settings options, so that subsequent optimizations can better meet user needs.

[0055] Example 2: Example 2 of the present invention provides an Internet-based service management system. Figure 2 This is a schematic diagram of the module structure of an Internet-based service management system provided in Embodiment 2, as shown below. Figure 2 As shown, the system includes:

[0056] The management and control module is used for the management and control of the Internet service management system;

[0057] The analysis and processing module is used for optimization analysis and processing of the Internet service management system;

[0058] The display and feedback module is used for the display and feedback management of data information.

[0059] In some embodiments of the present invention, the management control module includes:

[0060] The distributed computing module is used for the design and control of distributed computing in the system.

[0061] The secure sharing module is used for secure sharing management of data information;

[0062] Set up a control module for building and controlling the Internet service management system.

[0063] In some embodiments of the present invention, the analysis and processing module includes:

[0064] The on-chain management module is used for the control and management of on-chain data information;

[0065] The architecture management module is used for the construction and management of the Internet service management system;

[0066] The optimization analysis module is used for system model optimization analysis.

[0067] In some embodiments of the present invention, the feedback module includes:

[0068] The display processing module is used for displaying and processing data information.

[0069] The feedback management module is used for managing user feedback.

[0070] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0071] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A service management method based on the Internet, characterized in that: include: S101. Perform distributed computing management for the Internet service management system; including: By building an edge cluster within a set range of terminal devices and deploying computing and storage resources, data processing and storage are transferred from the cloud computing center to the set range of terminal devices. Data processing and storage are distributed to a selected number of edge devices, and the corresponding selected AI models are deployed to the terminal devices, enabling the terminal devices to request AI services in the edge cluster for data analysis and processing. S102. Sharing and setting up the Internet service management system; including: S1021. A data security sharing layer is constructed using the FiscoBcos consortium blockchain, enabling nodes to verify or publish transactions and controlling access to reading, modification, and other activities to be performed only by nodes on this consortium blockchain. Each node in the consortium blockchain has a unique private key; if nodes need to exchange information or data, they must exchange their private keys. This ensures information flow while preventing node privacy leaks. Terminal devices are responsible for data collection, and their data needs to be processed on the blockchain. Each terminal device communicates with the blockchain node on the nearest edge server. At set intervals, the terminal devices transmit their generated data to the edge server, naming the data according to its generation time. A dedicated folder for receiving data is set up on the edge server, and an automatic on-chain algorithm smart contract is deployed. When new data is generated in this folder, the on-chain algorithm is triggered for shared analysis and processing. S1022. Establish a Webase general component between the blockchain application and the FISCOBCOS node. Functions include contract management and data storage. Contract management provides a list of smart contracts, CRUD operations, and event viewing. After successfully writing and deploying a smart contract, the administrator selects the user and smart contract function to send the transaction. After the contract is executed, the transaction record is written to the blockchain network for storage. Data storage uses a MySQL database to store data records. Each blockchain node corresponds to one database, named after the node. S103. Perform analysis and control processing for the Internet service management system; including: S1031. Deploy blockchain nodes and edge cluster nodes on the edge server. After the internet terminal senses the data, it is uploaded to the blockchain node. The node extracts the data hash value and puts it on the chain. The edge cluster nodes in the edge server access the data and complete the analysis and processing. The sensed data collected in real time is stored on the chain for evidence storage. The storage space of the terminal device with the chain algorithm deployed on the edge server and the edge server can be mutually accessed. At the same time, a shared folder is created to receive data. The monitoring script automatically senses new files and triggers the chain algorithm. When a new transaction is generated, all blockchain nodes will participate in the consensus process. Through the PBFT consensus algorithm, the nodes need to interact to confirm whether the transaction is legal. When all nodes reach a consensus, a new block is generated. The newly added block represents that the data has been successfully saved to the blockchain network to ensure the data security of the system terminal data. S1032. Docker containerization technology is adopted, with the Docker engine installed on both terminal devices and edge servers. Docker Swarm technology is used to build an edge cluster. Terminal devices in the cluster send task requests to the management node, which then uses scheduling and task allocation algorithms to assign them to the corresponding worker nodes for rapid data processing. When the computing power of a terminal device is insufficient to perform data processing, it sends a task request to the nearest Master node in the edge cluster, transmitting the data to be processed to the Master node for processing. The Master node, acting as the task allocator and resource scheduler in the cluster, is responsible for receiving task requests from various terminal devices, finding the corresponding service image file in the image repository based on the requested service type, allocating the task to the appropriate Worker node using the scheduling algorithm, and deploying the image file as a service. The image repository serves as a storage center for various task request service images, acting as an image template for the Master node to create services, and also for administrators to develop and create new image files. Worker nodes, as the actual runners of services in the cluster, provide computing resources and run services to process task requests from terminal devices by receiving commands from the Master node, thus achieving rapid data processing services. S1033. The AI ​​model in the edge cluster is optimized by iterative pruning to achieve the set target sparsity; S104. Implement display feedback control for the Internet service management system; The aforementioned display feedback control of the Internet service management system includes: After collecting the data information set by the staff in real time, the data is transmitted to the staff for processing, analysis and review. Users can evaluate and provide feedback on the Internet service management system based on the settings options, so that subsequent optimizations can better meet user needs.

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