CN-120144231-B - Service management system based on Internet
Abstract
The invention discloses an Internet-based service management system, which comprises the following steps of carrying out distributed computing management of an Internet service management system, carrying out sharing and construction processing on the Internet service management system, carrying out analysis control processing of the Internet service management system, carrying out display feedback control of the Internet service management system, and carrying out distributed computing management of the Internet service management system, wherein the distributed computing management of the Internet service management system comprises the steps of carrying out data analysis processing on AI (analog information) services in the terminal equipment request edge clusters by constructing edge clusters in a terminal equipment setting range, deploying computing and storage resources, transferring data processing and storage from a cloud computing center to the terminal equipment setting range, dispersing data processing and storage to a selected number of edge equipment, and deploying corresponding AI models to the terminal equipment. The invention has the characteristics of intelligent service processing and strong practicability.
Inventors
- Request for anonymity
Assignees
- 惠州市创信电子科技有限公司
Dates
- Publication Date
- 20260508
- Application Date
- 20250114
Claims (1)
- 1. The service management method based on the Internet is characterized by comprising the following steps: s101, performing distributed computing management of an Internet service management system, wherein the distributed computing management comprises the following steps: setting up an edge cluster in a terminal equipment setting range, deploying computing and storage resources, transferring data processing and storage from a cloud computing center to the terminal equipment setting range, dispersing data processing and storage to a selected number of edge equipment, deploying a corresponding selected AI model to the terminal equipment, and enabling the terminal equipment to request AI services in the edge cluster to perform data analysis processing; S102, sharing and constructing an Internet service management system, wherein the method comprises the following steps: S1021, a FiscoBcos alliance chain is adopted to construct a data security sharing layer, so that the nodes perform verification or release transaction, only the nodes on the alliance chain are controlled to perform reading modification and access activities, meanwhile, each node in the alliance chain has a unique private key, if information exchange and data exchange are required between the nodes, the private keys must be exchanged, and the problems of node privacy leakage are avoided while information circulation is ensured; the terminal equipment is in charge of data acquisition, the terminal equipment data need to be subjected to uplink processing, each terminal equipment is communicated with a block chain node in the nearest edge server, the terminal equipment transmits produced data to the edge server every set time, the transmitted data are named according to the generated time, a folder specially accepting the data is arranged in the edge server, meanwhile, an automatic uplink algorithm intelligent contract is arranged, and when new data are generated in the folder, an uplink algorithm is triggered to carry out sharing analysis processing; S1022, constructing Webase general components between the blockchain application and FISCOBCOS nodes, wherein the functions comprise contract management and data storage, wherein the contract management provides a list for managing intelligent contracts, CRUD and event checking functions, an administrator selects a user to be sent and an intelligent contract function method to send a transaction after the intelligent contracts are written and deployed successfully, and a transaction record is written into a blockchain network to be stored after the contracts are executed; S103, performing analysis control processing of an Internet service management system, wherein the analysis control processing comprises the following steps: S1031, disposing block chain nodes and edge cluster nodes on an edge server, uploading the block chain nodes to the block chain nodes after an Internet terminal perceives data, extracting data hash values through the nodes to carry out uplink, accessing the data by the edge cluster nodes in the edge server and completing analysis processing, uploading a certificate of the perceiving data acquired in real time, enabling the edge server to dispose a storage space of a terminal device of a uplink algorithm and the edge server to be mutually accessed, creating a shared folder for receiving the data, automatically perceiving a new file by utilizing a monitoring script and triggering the uplink algorithm, enabling all the block chain nodes to participate in a consensus process when new transaction is generated by the block chain consensus, and generating a new block by the nodes through interaction to confirm whether the transaction is legal or not when the new transaction is completed by all the nodes, wherein the newly added block represents that the data is successfully stored in the block chain network so as to ensure the data safety of the terminal data of the system; S1032, adopting a dock container technology, respectively installing dock engines in terminal equipment and an edge server, constructing an edge cluster by utilizing dockerswarm technology, sending task requests to management nodes by the terminal equipment in the cluster, distributing the tasks to the corresponding working nodes by a scheduling algorithm and a task distribution algorithm so as to realize quick data processing, when the computing capacity of the terminal equipment does not reach a set threshold value, namely the computing capacity is insufficient for carrying out data processing operation, sending task requests to Master nodes in the nearest edge cluster, transmitting data to be processed to the Master nodes, waiting for the edge cluster to process, taking the Master nodes as task distribution and resource schedulers in the cluster, taking charge of receiving the task requests from various terminal equipment, finding corresponding service mirror files in a mirror warehouse according to the service types of the requests, distributing the tasks to the proper workbench nodes by the scheduling algorithm and deploying the mirror files into service, wherein the mirror warehouse is a storage center for storing various task request service mirrors, and simultaneously developing a template for creating service for the Master nodes, taking the Master nodes as actual mirror image nodes in the cluster and creating new task request service nodes, and taking the actual service nodes in the cluster as actual service nodes in the cluster to receive the service request, and carrying out quick data processing by the service request from the service node; S1033, optimizing the AI model in the edge cluster by an iterative pruning method to reach the set target sparsity; s104, performing display feedback control of an Internet service management system; the display feedback control of the Internet service management system comprises the following steps: after the data information content set by the staff is acquired in real time, the data information content is transmitted to the staff for processing and analysis and review; and the user performs use evaluation and opinion feedback on the Internet service management system according to the set option information, so that the follow-up optimization meets the user requirements.
Description
Service management system based on Internet Technical Field The invention relates to the technical field of Internet, in particular to a service management system based on the Internet. Background In recent years, a new technological revolution and industrial revolution rapidly develop, the Internet rapidly extends from the consumption field to the production field, the industrial economy deeply expands from digitization to networking and intellectualization, and the Internet innovation development and the new industrial revolution form a historical intersection, so that the industrial Internet is induced. The industrial Internet is a novel infrastructure, an application mode and industrial ecology which are deeply fused with a new generation of information communication technology and industrial economy, and a brand-new manufacturing and service system which covers a full industrial chain and a full value chain is constructed by comprehensively connecting people, machines, objects, systems and the like, so that an implementation way is provided for industrial and even industrial digital, networked and intelligent development. However, due to the extremely wide distribution of devices and the variety of interactive data in the industrial internet system, the privacy and security of the data are often difficult to guarantee. On the other hand, since most devices work in a state of being out of manual control, and the shortage of computing resources of such devices is remarkable, the use service of the industrial internet is seriously affected. Therefore, it is necessary to design an internet-based service management system with strong intelligent service processing and practicability. Disclosure of Invention The present invention is directed to an internet-based service management system, which solves the problems set forth in the background art. In order to solve the technical problems, the invention provides the following technical scheme that the service management method based on the Internet comprises the following steps: Performing distributed computing management of an Internet service management system; sharing and constructing an Internet service management system; performing analysis control processing of an Internet service management system; Performing display feedback control of an Internet service management system; the performing distributed computing management of the internet service management system comprises the following steps: The method comprises the steps of building an edge cluster in a setting range of terminal equipment, deploying computing and storage resources, transferring data processing and storage from a cloud computing center to the setting range of the terminal equipment, dispersing data processing and storage to a selected number of edge equipment, deploying corresponding AI models to the terminal equipment, and enabling the terminal equipment to request AI services in the edge cluster to perform data analysis processing. According to the above technical scheme, the sharing and building processing of the internet service management system includes: The FiscoBcos alliance chains are adopted to construct a data security sharing layer, so that the nodes can perform verification or release transaction, only the nodes on the alliance chains can be controlled to perform reading modification and access activities, each node in the alliance chains has a unique private key, if information exchange and data exchange are required between the nodes, the private keys must be exchanged, and the problems of node privacy leakage are avoided while the information circulation is ensured; A common component is built Webase between the blockchain application and the FISCOBCOS nodes, the functions including contract management and data storage. According to the above technical solution, the performing analysis control processing of the internet service management system includes: And deploying the blockchain node and the edge cluster node on the edge server, uploading the data to the blockchain node after the Internet terminal perceives the data, extracting a data hash value through the node for uplink, and enabling the edge cluster node in the edge server to access the data and complete analysis processing. According to the above technical solution, the performing analysis control processing of the internet service management system further includes: The method comprises the steps that a dock container technology is adopted, dock engines are respectively installed in terminal equipment and an edge server, an edge cluster is built by utilizing dockerswarm technology, a task request can be sent to a management node by the terminal equipment in the cluster, and the task request is sent to a corresponding working node through a scheduling algorithm and a task allocation algorithm, so that rapid data processing is realized; And (3) optimizing the AI model in the edge cluster by an iterative prunin