CN114760318B - Edge computing management method and system - Google Patents
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- G05B19/41855—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by the network communication by local area network [LAN], network structure
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- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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Abstract
The invention discloses an edge computing management method and system, and relates to the technical field of information management systems. Comprising the following steps: the data acquisition module acquires data of the edge equipment to be managed; the data acquisition module inputs data to the deployment management module, the deployment management module divides the edge equipment into clusters, the clusters are divided into nodes, and the deployment management module manages the edge equipment through the clusters; the deployment management module inputs the data into the equipment management module, and configures the data according to the divided clusters and nodes; the gateway management module configures and manages the cluster and the edge gateway arranged on the node; and the task management module configures and manages the servers of the nodes to obtain a management method of the edge equipment. The invention can intensively configure and deploy, realizes process visualization, greatly improves the working efficiency and enhances the edge computing capability.
Description
Technical Field
The present invention relates to the field of information management systems, and in particular, to a method and a system for edge computing management.
Background
In different control and monitoring links of industrial production, thousands of mass data are generated every day, and the mass data are in an explosive type increasing trend, so that challenges are brought to local data processing of production enterprises, and more enterprises need to process the data in real time near production field ends to obtain higher data availability. Edge computing aims at using edge networks closer to users or devices to perform data storage, computation, processing and other services, and provides edge data services nearby, and edge computing is a key to the distributed processing of data generated in production.
In many prior art, edge computing is researched, and the patent 'deployment method and device of edge computing nodes' determines the number of edge computing according to the computing power resources required by each service type and the computing power resources provided by the edge computing nodes. The patent edge computing device and edge computing method and system describes a network interface module and a network offload module for receiving data packets, outputting data packets, or processing data packets. The patent 'distributed edge computing system and distributed edge computing method' firstly gathers external data, then distributes the data into a data computing system for synchronous data processing, reduces data processing time and provides data processing efficiency. The patent 'a user identity authentication method and device based on edge calculation' utilizes the advantages of edge calculation to send an authentication value and an authentication code to related equipment, and can effectively improve the effectiveness of user identity authentication.
At present, the edge calculation has related researches on computing power resource calculation, receiving data grouping, processing data efficiency, checking user authentication identity and the like, but no management system is used for carrying out centralized management on parameter configuration and deployment processes involved in the edge calculation process, the configuration and deployment steps are carried out on different edge nodes, manual work is needed to reach each area for configuration and deployment, and the efficiency is low.
Disclosure of Invention
The invention provides the method for providing the system function capable of being uniformly configured and deployed for the edge calculation, thereby saving the time of a user, improving the working efficiency and enhancing the visualization capability of the edge calculation configuration and deployment process.
In order to solve the technical problems, the invention provides the following technical scheme:
in one aspect, the invention provides an edge computing management method, which is realized by an edge computing management system, wherein the system comprises a data acquisition module, a deployment management module, a gateway management module, an equipment management module and a task management module; the method comprises the following steps:
s1, a data acquisition module acquires data of edge equipment to be managed.
S2, the data acquisition module inputs data to the deployment management module, the deployment management module divides the edge equipment into clusters, the clusters are divided into nodes, and the deployment management module manages the edge equipment through the clusters.
S3, the deployment management module inputs the data to the equipment management module, and the data is configured according to the divided clusters and the nodes.
S4, the gateway management module configures and manages the cluster and the edge gateways arranged on the nodes.
S5, the task management module configures and manages the servers of the nodes to obtain a management method of the edge equipment.
Optionally, the deployment management module in S2 includes a cluster configuration unit, a node configuration unit, an edge collection engine configuration unit, and an edge gateway configuration unit.
The deployment management module divides the edge equipment into clusters, divides the clusters into nodes, and manages the edge equipment through the clusters, comprising:
s21, the cluster configuration unit divides the edge equipment into clusters.
S22, the node configuration unit divides the cluster into a plurality of nodes and configures the plurality of nodes; wherein the plurality of nodes includes a management master node and a plurality of other nodes.
S23, an edge acquisition engine configuration unit configures acquisition engines of a plurality of nodes.
S24, the edge gateway configuration unit configures communication links for edge calculation of the plurality of nodes and configures parameters according to a communication mode.
Optionally, configuring the plurality of nodes in S22 includes:
the method comprises the steps of configuring cluster IDs, node names, node hostnames, node port numbers, node activity states, node work catalogs and node ordering for a plurality of nodes.
Optionally, the device management module in S3 includes a configuration unit, a data acquisition unit, a data access unit, and a data space-time transformation unit.
Configuring the data includes:
s31, the configuration unit divides the data into a factory, a production line and a procedure, and configures parameters for the factory, the production line and the procedure respectively.
S32, the data acquisition unit acquires the data corresponding to the factory, the production line and the working procedure after the configuration parameters are acquired.
And S33, the data access unit stores the acquired data to nodes corresponding to the factories, the production lines and the working procedures.
S34, the data space-time conversion unit converts the acquired data from time axis data into length axis data.
Optionally, the configuration unit in S31 includes a factory configuration module, a process configuration module, and an equipment configuration module.
The configuration parameters of the factory, the production line and the working procedure respectively comprise:
the factory configuration module configures a factory name, a factory number, and a factory ordering of the nodes.
The process configuration module configures the process number, the process name, the process sequence, whether the inlet material number is started, whether the length conversion function is provided and the attribute of the node.
The device configuration module configures a device number, a device name, a device group, a process number to which the device belongs, a process time to which the device belongs, whether an entry material number is enabled, a device ordering, and a factory number to which the device belongs for the node.
Optionally, the configuring and managing the edge gateway disposed on the cluster and the node by the gateway management module in S4 includes:
the gateway management module configures and manages the cluster and the nodes, gateway names, gateway types, addresses, port numbers, security modes, security policies, user identities, user names, passwords and ordering functions of the edge gateways arranged on the nodes, and performs adding, deleting, modifying and inquiring operations according to actual requirements.
Optionally, the configuring and managing the server of the node by the task management module in S5 includes:
the task management module configures a server on the node.
And managing a process interface operated on a server on the configured node.
Optionally, managing a process interface running on a server on the configured node includes:
and monitoring running conditions of processes, process identifiers, CPU loads, memory occupation conditions and abnormal quantity of the running processes on the configured servers on the nodes in real time.
Optionally, the method further comprises starting, closing, adding, deleting, modifying and inquiring the process running on the server on the configured node.
On the other hand, the invention provides an edge computing management system, which is applied to realizing an edge computing management method and comprises a data acquisition module, a deployment management module, a gateway management module, an equipment management module and a task management module; wherein:
and the data acquisition module is used for acquiring the data of the edge equipment to be managed.
The deployment management module is used for dividing the edge equipment into clusters, dividing the clusters into nodes, and managing the edge equipment through the clusters.
And the equipment management module is used for configuring the data.
And the gateway management module is used for configuring and managing the cluster and the edge gateways arranged on the nodes.
And the task management module is used for configuring and managing the servers of the nodes to obtain a management method of the edge equipment.
Optionally, the deployment management module includes a cluster configuration unit, a node configuration unit, an edge acquisition engine configuration unit, and an edge gateway configuration unit.
Optionally, the deployment management module is further configured to:
s21, the cluster configuration unit divides the edge equipment into clusters.
S22, the node configuration unit divides the cluster into a plurality of nodes and configures the plurality of nodes; wherein the plurality of nodes includes a management master node and a plurality of other nodes.
S23, an edge acquisition engine configuration unit configures acquisition engines of a plurality of nodes.
S24, the edge gateway configuration unit configures communication links for edge calculation of the plurality of nodes and configures parameters according to a communication mode.
Optionally, the deployment management module is further configured to:
the method comprises the steps of configuring cluster IDs, node names, node hostnames, node port numbers, node activity states, node work catalogs and node ordering for a plurality of nodes.
Optionally, the device management module includes a configuration unit, a data acquisition unit, a data access unit, and a data space-time transformation unit.
Optionally, the device management module is further configured to:
s31, the configuration unit divides the data into a factory, a production line and a procedure, and configures parameters for the factory, the production line and the procedure respectively.
S32, the data acquisition unit acquires the data corresponding to the factory, the production line and the working procedure after the configuration parameters are acquired.
And S33, the data access unit stores the acquired data to nodes corresponding to the factories, the production lines and the working procedures.
S34, the data space-time conversion unit converts the acquired data from time axis data into length axis data.
Optionally, the configuration unit includes a factory configuration module, a process configuration module, and an equipment configuration module.
Optionally, the device management module is further configured to:
the factory configuration module configures a factory name, a factory number, and a factory ordering of the nodes.
The process configuration module configures the process number, the process name, the process sequence, whether the inlet material number is started, whether the length conversion function is provided and the attribute of the node.
The device configuration module configures a device number, a device name, a device group, a process number to which the device belongs, a process time to which the device belongs, whether an entry material number is enabled, a device ordering, and a factory number to which the device belongs for the node.
Optionally, the gateway management module is further configured to:
the gateway management module configures and manages the cluster and the nodes, gateway names, gateway types, addresses, port numbers, security modes, security policies, user identities, user names, passwords and ordering functions of the edge gateways arranged on the nodes, and performs adding, deleting, modifying and inquiring operations according to actual requirements.
Optionally, the task management module is further configured to:
the task management module configures a server on the node.
And managing a process interface operated on a server on the configured node.
Optionally, the task management module is further configured to:
and monitoring running conditions of processes, process identifiers, CPU loads, memory occupation conditions and abnormal quantity of the running processes on the configured servers on the nodes in real time.
Optionally, the task management module is further configured to:
and starting, closing, adding, deleting, modifying and inquiring the process running on the server on the configured node.
The technical scheme provided by the embodiment of the invention has the beneficial effects that at least:
in the scheme, the modules such as deployment management, gateway management, equipment management and task management are provided, the network edge side data close to objects or data sources are processed in a distributed mode, and the functions of edge equipment access, edge data acquisition, data processing, data visualization, process monitoring and the like are achieved. The edge computing management system configures corresponding communication parameters according to different network protocols, opens an edge data access communication link, then the data acquisition engine imports and operates a data processing program according to the configured data access address information, acquires and stores real-time data to an edge computing node, and simultaneously, the storage engine models equipment, and associates and stores acquired data points with the equipment to realize space-time correspondence of material data. When the edge side data is accessed, the configuration and deployment are needed to be carried out on different site edge gateways manually, the configuration process is complex, errors are easy to occur, the edge computing management system provided by the invention can carry out the configuration and deployment in a centralized manner, the process visualization is realized, the working efficiency is greatly improved, and the edge computing capability is enhanced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of an edge computing management method according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a deployment management function provided by an embodiment of the present invention;
FIG. 3 is a schematic diagram of a node configuration function provided by an embodiment of the present invention;
FIG. 4 is a schematic diagram of a device configuration management flow provided in an embodiment of the present invention;
fig. 5 is a block diagram of an edge computing management system according to an embodiment of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantages to be solved more apparent, the following detailed description will be given with reference to the accompanying drawings and specific embodiments.
As shown in fig. 1, an embodiment of the present invention provides an edge computing management method, which may be implemented by an edge computing management system. As shown in the flowchart of the edge computing management method in fig. 1, the process flow of the method may include the following steps:
s1, a data acquisition module acquires data of edge equipment to be managed.
S2, the data acquisition module inputs data to the deployment management module, the deployment management module divides the edge equipment into clusters, the clusters are divided into nodes, and the deployment management module manages the edge equipment through the clusters.
Optionally, the deployment management module in S2 includes a cluster configuration unit, a node configuration unit, an edge collection engine configuration unit, and an edge gateway configuration unit.
The deployment management module divides the edge equipment into clusters, divides the clusters into nodes, and manages the edge equipment through the clusters, comprising:
s21, the cluster configuration unit divides the edge equipment into clusters.
In one possible implementation, as shown in FIG. 2, the deployment management module may add production lines by configuring clusters, one cluster representing one production line.
For example, a full-flow production line, a newly added cluster may be named a steelmaking line, a hot rolling line, a cold rolling line, etc.
S22, the node configuration unit divides the cluster into a plurality of nodes and configures the plurality of nodes.
Wherein the plurality of nodes includes a management master node and a plurality of other nodes.
Optionally, configuring the plurality of nodes in S22 includes:
the method comprises the steps of configuring cluster IDs, node names, node hostnames, node port numbers, node activity states, node work catalogs and node ordering for a plurality of nodes.
In a possible implementation manner, after the cluster is configured according to the actual implementation line situation, nodes are configured under the cluster, and the nodes represent a certain production area on the production line.
For example, if the cluster is configured as a hot rolling production line, the nodes configured under the cluster may be named as production areas such as a heating furnace area, a rough rolling area, a finish rolling area, a layer cooling area, a coiling area, and the like, and one of the nodes is selected as a management master node, and connection with cloud data (data center) is realized through the node, and the functional configuration diagram is shown in fig. 3.
S23, an edge acquisition engine configuration unit configures acquisition engines of a plurality of nodes.
In a possible implementation manner, after a certain production line is configured according to both the cluster and the node, the configuration of the acquisition engine and the edge gateway is performed under the node, and the required relevant parameters are configured according to the actual situation.
The data collection engine configuration may include collection engine name, belonging node, server name, user name and password, period, activity status, ordering, time, etc. In implementations, data points under the collection engine can be listed.
Further, after the configuration of the edge collecting engine is completed, the corresponding equipment names under the node (production area) are configured under the collecting engine, if the cluster is configured as a hot rolling production line and the corresponding node is configured as a finish rolling area, the correspondingly configured equipment names under the collecting engine are a finish rolling group, a rack, a detection instrument, a pressing device and the like, and then relevant parameters required by equipment are configured according to actual conditions.
S24, the edge gateway configuration unit configures communication links for edge calculation of the plurality of nodes and configures parameters according to a communication mode.
In a possible implementation, the edge gateway configuration may contain the belonging node, gateway name, type, loopback address, port number, active state, security mode, security policy, user identity, username, password, ordering, whether enabled, etc. In implementations, protocols under the gateway can be listed.
Further, after the edge gateway is configured, different gateway nodes are required to be configured under the edge gateway, so that the resource isolation is realized, and the operation and maintenance are convenient. Under the gateway node, configuring communication links calculated by the edge, establishing communication connection with each control system on site, configuring communication modes including PLC (Programmable Logic Controller ), TDC (Time to Digital Convert, time-to-digital converter), TCP/IP (Transmission Control Protocol/Internet Protocol ), MODBUS communication protocol and the like according to actual conditions on site, and configuring corresponding parameters according to the communication modes.
S3, the deployment management module inputs the data to the equipment management module, and the data is configured according to the divided clusters and the nodes.
Optionally, the device management module in S3 includes a configuration unit, a data acquisition unit, a data access unit, and a data space-time transformation unit.
Configuring the data includes:
s31, the configuration unit divides the data into a factory, a production line and a procedure, and configures parameters for the factory, the production line and the procedure respectively.
Optionally, the configuration unit in S31 includes a factory configuration module, a process configuration module, and an equipment configuration module.
The configuration parameters of the factory, the production line and the working procedure respectively comprise:
the factory configuration module configures a factory name, a factory number, and a factory ordering of the nodes.
The process configuration module configures the process number, the process name, the process sequence, whether the inlet material number is started, whether the length conversion function is provided and the attribute of the node.
The device configuration module configures a device number, a device name, a device group, a process number to which the device belongs, a process time to which the device belongs, whether an entry material number is enabled, a device ordering, and a factory number to which the device belongs for the node.
In a possible implementation, the device management function can classify devices according to factories, production lines and procedures, and the storage engine is used for corresponding data acquisition points to different devices so as to provide conditions for realizing space-time conversion and data association of the data.
S32, the data acquisition unit acquires the data corresponding to the factory, the production line and the working procedure after the configuration parameters are acquired.
In a possible implementation manner, the device management function mainly realizes device objectification, and sets the edge data acquisition point as the basic attribute of the corresponding device object. The equipment management is configured for factories, production lines and working procedures according to actual conditions, such as a certain coil plate factory, a hot rolling production line and a finish rolling working procedure, and parameters such as names, numbers and attributes are configured according to actual conditions. The functional flow diagram is shown in fig. 4.
And S33, the data access unit stores the acquired data to nodes corresponding to the factories, the production lines and the working procedures.
In a possible implementation manner, after the configuration of relevant parameters of the edge collecting device is completed, the data collecting engine uses an import and operation data processing program to store real-time data collecting points under corresponding edge device nodes according to configured data access information including information such as names, remarks, device numbers, device types, lengths, whether space-time conversion is started or not, access addresses, offsets, current scales, maximum scales, minimum scales, units and the like.
S34, the data space-time conversion unit converts the acquired data from time axis data into length axis data.
In a possible implementation manner, the data space-time conversion unit correlates and stores the collected data points with the equipment to realize space-time correspondence of material data, for example, after a certain data item is selected, after a space-time conversion button is clicked, the data under the equipment can be converted into length axis data from a time axis.
In implementations, a list of data collection points, a space-time transform, etc. may be listed.
S4, the gateway management module configures and manages the cluster and the edge gateways arranged on the nodes.
Optionally, the configuring and managing the edge gateway disposed on the cluster and the node by the gateway management module in S4 includes:
the gateway management module configures and manages the cluster and the nodes, gateway names, gateway types, addresses, port numbers, security modes, security policies, user identities, user names, passwords and ordering functions of the edge gateways arranged on the nodes, and performs adding, deleting, modifying and inquiring operations according to actual requirements.
In a feasible implementation manner, the gateway management realizes the management of the edge gateway arranged on the configured production line and the working procedure, configures parameters such as edge nodes, gateway names, gateway types, addresses, port numbers, security modes, security policies, user identities, user names, passwords, sequencing and the like of the gateway, can also perform corresponding operations such as adding, deleting, modifying and the like according to actual requirements, and can simultaneously display and reference gateway information in a centralized manner.
S5, the task management module configures and manages the servers of the nodes to obtain a management method of the edge equipment.
Optionally, the configuring and managing the server of the node by the task management module in S5 includes:
s51, the task management module configures a server on the node.
S52, managing a process interface operated on the server on the configured node.
Optionally, managing a process interface running on a server on the configured node includes:
and monitoring running conditions of processes, process identifiers, CPU loads, memory occupation conditions and abnormal quantity of the running processes on the configured servers on the nodes in real time.
Optionally, the method further comprises starting, closing, adding, deleting, modifying and inquiring the process running on the server on the configured node.
In a feasible implementation manner, task management firstly configures a server on an edge node, including parameters such as a server name, a file name, description, priority and the like, and after the server is configured, manages process interfaces operated on all the edge node servers, including process operation conditions, process identifiers, CPU load, memory occupation conditions, abnormal quantity and the like, monitors in real time, and can also perform operations such as starting and closing, adding, deleting, modifying and the like on the processes.
In the embodiment of the invention, the modules such as deployment management, gateway management, equipment management, task management and the like are provided, and the distributed processing is carried out on the network edge side data close to objects or data sources, so that the functions such as edge equipment access, edge data acquisition, data processing, data visualization and process monitoring are realized. The edge computing management system configures corresponding communication parameters according to different network protocols, opens an edge data access communication link, then the data acquisition engine imports and operates a data processing program according to the configured data access address information, acquires and stores real-time data to an edge computing node, and simultaneously, the storage engine models equipment, and associates and stores acquired data points with the equipment to realize space-time correspondence of material data. When the edge side data is accessed, the configuration and deployment are needed to be carried out on different site edge gateways manually, the configuration process is complex, errors are easy to occur, the edge computing management system provided by the invention can carry out the configuration and deployment in a centralized manner, the process visualization is realized, the working efficiency is greatly improved, and the edge computing capability is enhanced.
As shown in fig. 5, an embodiment of the present invention provides an edge computing management system, where the system is applied to implement an edge computing management method, and the system includes a data acquisition module, a deployment management module, a gateway management module, an equipment management module, and a task management module; wherein:
and the data acquisition module is used for acquiring the data of the edge equipment to be managed.
The deployment management module is used for dividing the edge equipment into clusters, dividing the clusters into nodes, and managing the edge equipment through the clusters.
And the equipment management module is used for configuring the data.
And the gateway management module is used for configuring and managing the cluster and the edge gateways arranged on the nodes.
And the task management module is used for configuring and managing the servers of the nodes to obtain a management method of the edge equipment.
Optionally, the deployment management module includes a cluster configuration unit, a node configuration unit, an edge acquisition engine configuration unit, and an edge gateway configuration unit.
Optionally, the deployment management module is further configured to:
s21, the cluster configuration unit divides the edge equipment into clusters.
S22, the node configuration unit divides the cluster into a plurality of nodes and configures the plurality of nodes; wherein the plurality of nodes includes a management master node and a plurality of other nodes.
S23, an edge acquisition engine configuration unit configures acquisition engines of a plurality of nodes.
S24, the edge gateway configuration unit configures communication links for edge calculation of the plurality of nodes and configures parameters according to a communication mode.
Optionally, the deployment management module is further configured to:
the method comprises the steps of configuring cluster IDs, node names, node hostnames, node port numbers, node activity states, node work catalogs and node ordering for a plurality of nodes.
Optionally, the device management module includes a configuration unit, a data acquisition unit, a data access unit, and a data space-time transformation unit.
Optionally, the device management module is further configured to:
s31, the configuration unit divides the data into a factory, a production line and a procedure, and configures parameters for the factory, the production line and the procedure respectively.
S32, the data acquisition unit acquires the data corresponding to the factory, the production line and the working procedure after the configuration parameters are acquired.
And S33, the data access unit stores the acquired data to nodes corresponding to the factories, the production lines and the working procedures.
S34, the data space-time conversion unit converts the acquired data from time axis data into length axis data.
Optionally, the configuration unit includes a factory configuration module, a process configuration module, and an equipment configuration module.
Optionally, the device management module is further configured to:
the factory configuration module configures a factory name, a factory number, and a factory ordering of the nodes.
The process configuration module configures the process number, the process name, the process sequence, whether the inlet material number is started, whether the length conversion function is provided and the attribute of the node.
The device configuration module configures a device number, a device name, a device group, a process number to which the device belongs, a process time to which the device belongs, whether an entry material number is enabled, a device ordering, and a factory number to which the device belongs for the node.
Optionally, the gateway management module is further configured to:
the gateway management module configures and manages the cluster and the nodes, gateway names, gateway types, addresses, port numbers, security modes, security policies, user identities, user names, passwords and ordering functions of the edge gateways arranged on the nodes, and performs adding, deleting, modifying and inquiring operations according to actual requirements.
Optionally, the task management module is further configured to:
the task management module configures a server on the node.
And managing a process interface operated on a server on the configured node.
Optionally, the task management module is further configured to:
and monitoring running conditions of processes, process identifiers, CPU loads, memory occupation conditions and abnormal quantity of the running processes on the configured servers on the nodes in real time.
Optionally, the task management module is further configured to:
and starting, closing, adding, deleting, modifying and inquiring the process running on the server on the configured node.
In the embodiment of the invention, the modules such as deployment management, gateway management, equipment management, task management and the like are provided, and the distributed processing is carried out on the network edge side data close to objects or data sources, so that the functions such as edge equipment access, edge data acquisition, data processing, data visualization and process monitoring are realized. The edge computing management system configures corresponding communication parameters according to different network protocols, opens an edge data access communication link, then the data acquisition engine imports and operates a data processing program according to the configured data access address information, acquires and stores real-time data to an edge computing node, and simultaneously, the storage engine models equipment, and associates and stores acquired data points with the equipment to realize space-time correspondence of material data. When the edge side data is accessed, the configuration and deployment are needed to be carried out on different site edge gateways manually, the configuration process is complex, errors are easy to occur, the edge computing management system provided by the invention can carry out the configuration and deployment in a centralized manner, the process visualization is realized, the working efficiency is greatly improved, and the edge computing capability is enhanced.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program for instructing relevant hardware, where the program may be stored in a computer readable storage medium, and the storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and scope of the invention are intended to be included within the scope of the invention.
Claims (9)
1. The edge computing management method is characterized by being realized by an edge computing management system, wherein the edge computing management system comprises a data acquisition module, a deployment management module, a gateway management module, an equipment management module and a task management module; the method comprises the following steps:
s1, the data acquisition module acquires data of edge equipment to be managed;
s2, the data acquisition module inputs the data to the deployment management module, the deployment management module divides the edge equipment into clusters, the clusters are divided into nodes, and the deployment management module manages the edge equipment through the clusters;
s3, the deployment management module inputs the data to the equipment management module, and the data is configured according to the divided clusters and nodes;
s4, the gateway management module configures and manages the cluster and the edge gateways arranged on the nodes;
s5, the task management module configures and manages the servers of the nodes to obtain a management method of the edge equipment;
the deployment management module in the S2 comprises a cluster configuration unit, a node configuration unit, an edge acquisition engine configuration unit and an edge gateway configuration unit;
the deployment management module divides the edge device into clusters and divides the clusters into nodes, and the deployment management module manages the edge device through the clusters comprises:
s21, the cluster configuration unit divides the edge equipment into clusters;
s22, the node configuration unit divides the cluster into a plurality of nodes and configures the plurality of nodes; wherein the plurality of nodes includes a management master node and a plurality of other nodes;
s23, the edge acquisition engine configuration unit configures acquisition engines of the plurality of nodes;
s24, the edge gateway configuration unit configures communication links of edge calculation and configuration parameters according to a communication mode for the plurality of nodes.
2. The method of claim 1, wherein configuring the plurality of nodes in S22 comprises:
and configuring cluster IDs, node names, node hostnames, node port numbers, node activity states, node working directories and node ordering for the plurality of nodes.
3. The method according to claim 1, wherein the device management module in S3 includes a configuration unit, a data acquisition unit, a data access unit, and a data space-time transformation unit;
configuring the data includes:
s31, the configuration unit divides the data into a factory, a production line and a working procedure, and configures parameters for the factory, the production line and the working procedure respectively;
s32, the data acquisition unit acquires the data corresponding to the factory, the production line and the working procedure after the configuration parameters are acquired;
s33, the data access unit stores the acquired data to nodes corresponding to factories, production lines and working procedures;
s34, the data space-time conversion unit converts the acquired data from time axis data into length axis data.
4. The method according to claim 3, wherein the configuration unit in S31 includes a factory configuration module, a process configuration module, and an equipment configuration module;
the configuration parameters of the factory, the production line and the working procedure respectively comprise:
the factory configuration module configures factory names, factory numbers and factory ordering of the nodes;
the process configuration module configures the process number, the process name, the process sequence, whether the inlet material number is started or not, whether the length conversion function is provided or not and the attribute of the node;
the equipment configuration module configures equipment numbers, equipment names, equipment groups, process numbers of equipment, process time of the equipment, whether inlet material numbers are started, equipment ordering and plant numbers of the equipment of the nodes.
5. The method of claim 1, wherein the gateway management module in S4 configures and manages the cluster and edge gateways disposed on the nodes comprises:
the gateway management module configures and manages the cluster and the nodes, gateway names, gateway types, addresses, port numbers, security modes, security policies, user identities, user names, passwords and ordering functions of the edge gateways arranged on the nodes, and performs adding, deleting, modifying and inquiring operations according to actual requirements.
6. The method of claim 1, wherein the task management module in S5 configures and manages a server of a node comprises:
the task management module configures a server on the node;
and managing a process interface operated on a server on the configured node.
7. The method of claim 6, wherein managing the process interface running on the server on the configured node comprises:
and monitoring running conditions of processes, process identifiers, CPU loads, memory occupation conditions and abnormal quantity of the running processes on the configured servers on the nodes in real time.
8. The method of claim 6, further comprising starting, closing, adding, deleting, modifying, and querying processes running on servers on the configured nodes.
9. The edge computing management system is characterized by comprising a data acquisition module, a deployment management module, a gateway management module, an equipment management module and a task management module; wherein:
the data acquisition module is used for acquiring data of the edge equipment to be managed;
the deployment management module is used for dividing the edge equipment into clusters, dividing the clusters into nodes, and managing the edge equipment through the clusters;
the device management module is used for configuring the data;
the gateway management module is used for configuring and managing the cluster and the edge gateways arranged on the nodes;
the task management module is used for configuring and managing the servers of the nodes to obtain a management method of the edge equipment;
the deployment management module comprises a cluster configuration unit, a node configuration unit, an edge acquisition engine configuration unit and an edge gateway configuration unit;
the deployment management module divides the edge device into clusters and divides the clusters into nodes, and the deployment management module manages the edge device through the clusters comprises:
s21, the cluster configuration unit divides the edge equipment into clusters;
s22, the node configuration unit divides the cluster into a plurality of nodes and configures the plurality of nodes; wherein the plurality of nodes includes a management master node and a plurality of other nodes;
s23, the edge acquisition engine configuration unit configures acquisition engines of the plurality of nodes;
s24, the edge gateway configuration unit configures communication links of edge calculation and configuration parameters according to a communication mode for the plurality of nodes.
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