CN114760318A - Edge calculation management method and system - Google Patents

Edge calculation management method and system Download PDF

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CN114760318A
CN114760318A CN202210391026.8A CN202210391026A CN114760318A CN 114760318 A CN114760318 A CN 114760318A CN 202210391026 A CN202210391026 A CN 202210391026A CN 114760318 A CN114760318 A CN 114760318A
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management module
node
data
edge
nodes
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CN114760318B (en
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陈丹
邵健
殷实
葛龙
秦健
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USTB Design and Research Institute Co Ltd
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USTB Design and Research Institute Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • H04L67/104Peer-to-peer [P2P] networks
    • H04L67/1044Group management mechanisms 
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total 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]
    • G05B19/4185Total 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
    • G05B19/41855Total 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
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08Configuration management of networks or network elements
    • H04L41/0803Configuration setting
    • H04L41/0813Configuration setting characterised by the conditions triggering a change of settings
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14Network analysis or design
    • H04L41/145Network analysis or design involving simulating, designing, planning or modelling of a network
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/08Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H04L43/0805Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
    • H04L43/0817Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking functioning
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • H04L67/104Peer-to-peer [P2P] networks
    • H04L67/1044Group management mechanisms 
    • H04L67/1051Group master selection mechanisms

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Abstract

The invention discloses a method and a system for managing edge calculation, and relates to the technical field of information management systems. The method comprises the following steps: the data acquisition module acquires data of edge equipment to be managed; the data acquisition module inputs data into 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 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 edge gateways arranged on the cluster and the nodes; and the task management module configures and manages the server of the node to obtain a management method of the edge device. The invention can be configured and deployed in a centralized manner, realizes process visualization, greatly improves the working efficiency and enhances the edge computing capability.

Description

Edge calculation management method and system
Technical Field
The present invention relates to the field of information management systems, and in particular, to a method and system for edge calculation 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 increasing trend, so that a challenge is brought to production enterprises for processing data locally, and more enterprises need to process the data in real time near a production field end to obtain higher data availability. Edge computing, which aims to provide services such as data storage, computation, and processing nearby by using an edge network closer to a user or a device, is a key point for distributed processing of data generated in production.
In the prior art, many documents research edge calculation, and in a patent "deployment method and device of edge calculation nodes", the number of edge calculations is determined according to the calculation power resources required by each service type and the calculation power resources provided by the edge calculation nodes. The patent edge computing device and edge computing method and system introduces a network interface module and a network offload module for receiving data packets, outputting data packets, or processing data packets. The patent 'a distributed edge computing system and a distributed edge computing method' firstly converges external data, and then distributes the external data to a data computing system for synchronous data processing, so that the data processing time is reduced, and the data processing efficiency is improved. 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 efficiency of user identity authentication.
Currently, edge computing has related research on computing of computational resources, receiving of data packets, processing of data efficiency, checking of user authentication identities and the like, but none of the management systems performs centralized management on parameter configuration and deployment processes involved in the edge computing process, the configuration and deployment are performed step by step on different edge nodes, manual configuration and deployment in various areas are required, and efficiency is low.
Disclosure of Invention
The invention provides the method for providing the system functions capable of being configured and deployed uniformly for the edge calculation, so that the time of a user is saved, the working efficiency is improved, and the visualization capacity of the edge calculation configuration and deployment process is enhanced.
In order to solve the technical problems, the invention provides the following technical scheme:
in one aspect, the present invention provides an edge computing management method, which is implemented by an edge computing management system, the system comprising 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:
and S1, the data acquisition module acquires the data of the edge device to be managed.
S2, the data acquisition module inputs the data to the deployment management module, the deployment management module divides the edge device into clusters, the clusters are divided into nodes, and the deployment management module manages the edge device through the clusters.
And S3, the deployment management module inputs the data into the equipment management module, and the data are configured according to the divided clusters and nodes.
And S4, the gateway management module configures and manages the cluster and the edge gateway arranged on the node.
And S5, the task management module configures and manages the server of the node to obtain the management method of the edge device.
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 device into clusters, divides the clusters into nodes, and manages the edge device through the clusters, wherein the deployment management module comprises the following steps:
and S21, the cluster configuration unit divides the edge device 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 comprises a management master node and a plurality of other nodes.
And S23, configuring the acquisition engines of the plurality of nodes by the edge acquisition engine configuration unit.
S24, the edge gateway configuration unit configures the communication link of edge calculation for a plurality of nodes and configures parameters according to the communication mode.
Optionally, the configuring the plurality of nodes in S22 includes:
and configuring cluster ID, node name, node host name, node port number, node activity state, node working directory and node sequencing on the 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 spatio-temporal transformation unit.
Configuring data includes:
s31, the configuration unit divides the data into factories, production lines and procedures, and configures parameters for the factories, production lines and procedures respectively.
And S32, acquiring data corresponding to the factory, the production line and the process after the configuration parameters are acquired by the data acquisition unit.
And S33, the data access unit stores the acquired data in the nodes corresponding to the factory, the production line and the process.
And S34, converting the acquired data into length axis data from time axis data by the data space-time transformation unit.
Alternatively, the configuration unit in S31 includes a factory configuration module, a process configuration module, and an equipment configuration module.
The step of configuring parameters of a factory, a production line and a process respectively comprises the following steps:
and the factory configuration module configures the factory name, the factory number and the factory sequence of the node.
The process configuration module configures the process number, the process name and the process sequence of the node, whether the inlet material number is started, whether the length conversion function is provided and the attribute.
The equipment configuration module configures the equipment number, the equipment name, the equipment group, the process number of the equipment, the process time of the equipment, the number of the inlet materials, the equipment sequencing and the plant number of the equipment.
Optionally, the configuring and managing, by the gateway management module in S4, the edge gateways arranged on the clusters and the nodes includes:
the gateway management module configures and manages the cluster and the node to which the edge gateway arranged on the node belongs, the gateway name, the gateway type, the address, the port number, the security mode, the security policy, the user identity, the user name, the password and the sequencing function, and performs addition, deletion, modification and query operations according to actual requirements.
Optionally, the configuring and managing the server of the node by the task management module in S5 includes:
and the task management module configures the server on the node.
And 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 the running state, the process identifier, the CPU load, the memory occupation condition and the abnormal quantity of the process running on the configured server on the node in real time.
Optionally, the method further includes performing starting, closing, adding, deleting, modifying, and querying operations on a process running on a server on the configured node.
On the other hand, the invention provides an edge computing management system, which is applied to realize 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 and dividing the clusters into nodes, and the deployment management module manages the edge equipment through the clusters.
And the equipment management module is used for configuring data.
And the gateway management module is used for configuring and managing the edge gateways arranged on the cluster and the nodes.
And the task management module is used for configuring and managing the server of the node to obtain the management method of the edge device.
Optionally, the deployment management module includes a cluster configuration unit, a node configuration unit, an edge collection engine configuration unit, and an edge gateway configuration unit.
Optionally, the deployment management module is further configured to:
and S21, the cluster configuration unit divides the edge device 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 comprises a management master node and a plurality of other nodes.
S23, configuring the collection engines of the plurality of nodes by the edge collection engine configuration unit.
And S24, the edge gateway configuration unit configures the communication links of the edge calculation for the plurality of nodes and configures the parameters according to the communication mode.
Optionally, the deployment management module is further configured to:
and configuring cluster ID, node name, node host name, node port number, node activity state, node working directory and node sequencing on the plurality of nodes.
Optionally, the device management module includes a configuration unit, a data acquisition unit, a data access unit, and a data spatio-temporal transformation unit.
Optionally, the device management module is further configured to:
s31, the configuration unit divides the data into factories, production lines and procedures, and configures parameters for the factories, production lines and procedures respectively.
And S32, acquiring data corresponding to the factory, production line and process after the configuration parameters are acquired by the data acquisition unit.
And S33, the data access unit stores the acquired data in the nodes corresponding to the factory, the production line and the process.
And S34, converting the acquired data into length axis data by the data space-time transformation unit.
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:
and the factory configuration module configures the factory name, the factory number and the factory sequence of the node.
The process configuration module configures the process number, the process name and the process sequence of the node, whether the inlet material number is started, whether the length conversion function is provided and the attribute.
The equipment configuration module configures the equipment number, the equipment name, the equipment group, the process number of the equipment, the process time of the equipment, the number of the inlet materials, the equipment sequencing and the plant number of the equipment.
Optionally, the gateway management module is further configured to:
the gateway management module configures and manages the cluster and the node to which the edge gateway arranged on the node belongs, the gateway name, the gateway type, the address, the port number, the security mode, the security policy, the user identity, the user name, the password and the sequencing function, and performs addition, deletion, modification and query operations according to actual requirements.
Optionally, the task management module is further configured to:
and the task management module configures the server on the node.
And managing a process interface operated on the server on the configured node.
Optionally, the task management module is further configured to:
and monitoring the running state, the process identifier, the CPU load, the memory occupation condition and the abnormal quantity of the process running on the configured server on the node in real time.
Optionally, the task management module is further configured to:
and starting, closing, adding, deleting, modifying and inquiring processes 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, modules for deployment management, gateway management, equipment management, task management and the like are provided, distributed processing is performed on network edge side data close to an object or a data source, and 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, breaks through an edge data access communication link, then a data acquisition engine imports and operates a data processing program according to configured data access address information, acquires and stores real-time data to an edge computing node, and simultaneously, a storage engine models equipment, associates and stores the acquired data points and the equipment, so that the space-time correspondence of material data is realized. In the prior art, when edge side data access is carried out, configuration and deployment are carried out on different field 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 centralized configuration and deployment, 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 in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic flow chart of an edge calculation management method according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a deployment management function provided by an embodiment of the present invention;
FIG. 3 is a functional diagram of a node configuration provided by an embodiment of the present invention;
fig. 4 is a schematic diagram of a device configuration management flow provided by 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 of the present invention more apparent, the following detailed description is 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 fig. 1, the processing flow of the method may include the following steps:
And S1, the data acquisition module acquires the data of the edge device to be managed.
S2, the data acquisition module inputs the data to the deployment management module, the deployment management module divides the edge device into clusters, the clusters are divided into nodes, and the deployment management module manages the edge device 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 device into clusters, divides the clusters into nodes, and manages the edge device through the clusters, wherein the deployment management module comprises the following steps:
and S21, the cluster configuration unit divides the edge device into clusters.
In one possible embodiment, as shown in FIG. 2, the deployment management module may add lines by configuring clusters, one cluster representing a line.
For example, the whole production line can be named as steel-making production line, hot-rolling production line, cold-rolling production line, etc.
S22, the node configuring unit divides the cluster into a plurality of nodes and configures the plurality of nodes.
Wherein the plurality of nodes comprises a management master node and a plurality of other nodes.
Optionally, the configuring the plurality of nodes in S22 includes:
and configuring cluster ID, node name, node host name, node port number, node activity state, node working directory and node sequencing on the plurality of nodes.
In a possible implementation manner, after the cluster is configured according to the actual implementation of the production line condition, a node is configured under the cluster, and the node represents a certain production area on the production line.
For example, the cluster is configured as a hot rolling production line, 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, one of the nodes is selected as a management master node, and the connection with cloud data (a data center) is realized through the node, and a functional configuration diagram of the node is shown in fig. 3.
And S23, configuring the acquisition engines of the plurality of nodes by the edge acquisition engine configuration unit.
In a feasible implementation, 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 relevant parameters required by the production line are configured according to actual conditions.
The data collection engine configuration may include collection engine name, node to which it belongs, server name, username and password, period, activity status, ranking, time, etc. In particular implementations, data points under the acquisition engine may be listed.
Further, after the configuration of the edge collection engine is completed, the corresponding equipment names under the nodes (production areas) are configured under the collection engine, and if the cluster is configured as a hot rolling production line and the corresponding nodes are configured as a finish rolling area, the equipment names correspondingly configured under the collection engine are a finish rolling unit, a rack, a detection instrument, a screw-down device and the like, and then relevant parameters required by the equipment are configured according to actual conditions.
And S24, the edge gateway configuration unit configures the communication links of the edge calculation for the plurality of nodes and configures the parameters according to the communication mode.
In one possible implementation, the edge gateway configuration may include a node to which the edge gateway belongs, a gateway name, a type, a loopback address, a port number, an active state, a security mode, a security policy, a user identity, a user name, a password, a rank, whether enabled, and the like. In particular implementations, the protocols under the gateway may be listed.
Further, after the edge gateway is configured, different gateway nodes are also configured under the edge gateway, so that resource isolation is achieved, and operation and maintenance are facilitated. Under a gateway node, a communication link of edge calculation is configured, communication connection with each Control system on site is established, according to actual conditions on site, the configured communication modes include a PLC (Programmable Logic Controller), a TDC (Time to Digital converter), a TCP/IP (Transmission Control Protocol/Internet Protocol ), a MODBUS communication Protocol, and the like, and then corresponding parameters are configured according to the communication modes.
And S3, the deployment management module inputs the data into the equipment management module, and the data are configured according to the divided clusters and nodes.
Optionally, the device management module in S3 includes a configuration unit, a data acquisition unit, a data access unit, and a data spatio-temporal transformation unit.
Configuring data includes:
s31, the configuration unit divides the data into factory, production line and process, and configures parameters for the factory, production line and process.
Alternatively, the configuration unit in S31 includes a factory configuration module, a process configuration module, and an equipment configuration module.
The step of configuring parameters of a factory, a production line and a process respectively comprises the following steps:
and the factory configuration module configures the factory name, the factory number and the factory sequence of the node.
The process configuration module configures the process number, the process name and the process sequence of the node, whether the inlet material number is started, whether the length conversion function is provided and the attribute.
The equipment configuration module configures the equipment number, the equipment name, the equipment group, the process number of the equipment, the process time of the equipment, the number of the inlet materials, the equipment sequencing and the plant number of the equipment.
In a possible implementation manner, the device management function may classify devices according to factories, production lines, and processes, and provide conditions for implementing space-time transformation and data association for data by mapping the data collection points to different devices through the storage engine.
And S32, acquiring data corresponding to the factory, production line and process after the configuration parameters are acquired by the data acquisition unit.
In a possible implementation manner, the device management function mainly implements device objectification, and sets the edge data acquisition point as the basic attribute of the corresponding device object. The equipment management configures factories, production lines and processes according to actual conditions, for example, configures a certain plate rolling factory, a hot rolling production line and a finish rolling process, and configures parameters such as names, numbers, attributes and the like according to the actual conditions. The functional flow diagram is shown in fig. 4.
And S33, the data access unit stores the acquired data in the nodes corresponding to the factory, the production line and the process.
In a feasible implementation manner, after the configuration of relevant parameters of the edge acquisition device is completed, the data acquisition engine uses a lead-in and operation data processing program to store real-time data acquisition points under corresponding edge device nodes according to configured data access information, including information such as names, remarks, device numbers, device types, lengths, whether to start time-space transformation, access addresses, offsets, current scales, maximum scales, minimum scales, units and the like.
And S34, converting the acquired data into length axis data from time axis data by the data space-time transformation unit.
In a feasible implementation mode, the data space-time transformation unit associates and stores the acquired data points with the equipment to realize the space-time correspondence of the material data, and if a certain data item is selected and the space-time transformation button is clicked, the data under the equipment can be converted into length axis data from a time axis.
In particular implementations, a list of data acquisition points, spatiotemporal transformations, etc. may be listed.
And S4, the gateway management module configures and manages the cluster and the edge gateway arranged on the node.
Optionally, the configuring and managing, by the gateway management module in S4, the edge gateways arranged on the clusters and the nodes includes:
the gateway management module configures and manages the cluster and the node to which the edge gateway arranged on the node belongs, the gateway name, the gateway type, the address, the port number, the security mode, the security policy, the user identity, the user name, the password and the sequencing function, and performs addition, deletion, modification and query operations according to actual requirements.
In a feasible implementation manner, the gateway management realizes management of edge gateways arranged on a configured production line and a configured process, 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 gateways, can perform operations such as corresponding addition, deletion, modification and check according to actual requirements, and can perform centralized display and reference on gateway information.
And S5, the task management module configures and manages the server of the node to obtain a management method of the edge device.
Optionally, the configuring and managing the server of the node by the task management module in S5 includes:
and S51, the task management module configures the server on the node.
And S52, managing the process interface running on the server on the configured node.
Optionally, managing a process interface running on a server on the configured node includes:
and monitoring the running state, the process identifier, the CPU load, the memory occupation condition and the abnormal quantity of the process running on the configured server on the node in real time.
Optionally, the method further includes performing starting, closing, adding, deleting, modifying, and querying operations on a process running on a server on the configured node.
In a feasible implementation manner, task management firstly configures servers on edge nodes, including parameters such as server names, file names, descriptions, priorities and the like, and after the servers are configured, the task management then manages process interfaces running on all the edge node servers, including real-time monitoring of process running conditions, process identifiers, CPU loads, memory occupation conditions, abnormal quantities and the like, and meanwhile, the tasks can also be started, closed, added, deleted, modified and checked and the like.
In the embodiment of the invention, modules for deployment management, gateway management, equipment management, task management and the like are provided, and distributed processing is performed on network edge side data close to an object or a data source, so that functions of edge equipment access, edge data acquisition, data processing, data visualization, process monitoring and the like are realized. The edge computing management system configures corresponding communication parameters according to different network protocols, gets through an edge data access communication link, then a data acquisition engine imports and operates a data processing program according to configured data access address information, acquires and stores real-time data to an edge computing node, and simultaneously, a storage engine models equipment, associates and stores the acquired data points and the equipment, so as to realize space-time correspondence of material data. In the prior art, when edge side data access is carried out, configuration and deployment are carried out on different field 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 centralized configuration and deployment, 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 and dividing the clusters into nodes, and the deployment management module manages the edge equipment through the clusters.
And the equipment management module is used for configuring data.
And the gateway management module is used for configuring and managing the edge gateways arranged on the cluster and the nodes.
And the task management module is used for configuring and managing the server of the node to obtain the management method of the edge device.
Optionally, the deployment management module includes a cluster configuration unit, a node configuration unit, an edge collection engine configuration unit, and an edge gateway configuration unit.
Optionally, the deployment management module is further configured to:
and S21, the cluster configuration unit divides the edge device 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 comprises a management master node and a plurality of other nodes.
And S23, configuring the acquisition engines of the plurality of nodes by the edge acquisition engine configuration unit.
S24, the edge gateway configuration unit configures the communication link of edge calculation for a plurality of nodes and configures parameters according to the communication mode.
Optionally, the deployment management module is further configured to:
and configuring cluster ID, node name, node host name, node port number, node activity state, node working directory and node sequencing on the plurality of nodes.
Optionally, the device management module includes a configuration unit, a data acquisition unit, a data access unit, and a data spatio-temporal transformation unit.
Optionally, the device management module is further configured to:
s31, the configuration unit divides the data into factories, production lines and procedures, and configures parameters for the factories, production lines and procedures respectively.
And S32, acquiring data corresponding to the factory, production line and process after the configuration parameters are acquired by the data acquisition unit.
And S33, the data access unit stores the acquired data in the nodes corresponding to the factory, the production line and the process.
And S34, converting the acquired data into length axis data by the data space-time transformation unit.
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:
and the factory configuration module configures the factory name, the factory number and the factory sequence of the node.
The process configuration module configures the process number, the process name and the process sequence of the node, whether the inlet material number is started, whether the length conversion function is provided and whether the attribute is provided.
The equipment configuration module configures the equipment number, the equipment name, the equipment group, the process number of the equipment, the process time of the equipment, the number of the inlet materials, the equipment sequencing and the plant number of the equipment.
Optionally, the gateway management module is further configured to:
the gateway management module configures and manages the cluster and the node to which the edge gateway arranged on the node belongs, the gateway name, the gateway type, the address, the port number, the security mode, the security policy, the user identity, the user name, the password and the sequencing function, and performs addition, deletion, modification and query operations according to actual requirements.
Optionally, the task management module is further configured to:
and the task management module configures the server on the node.
And managing a process interface operated on the server on the configured node.
Optionally, the task management module is further configured to:
and monitoring the running state, the process identifier, the CPU load, the memory occupation condition and the abnormal quantity of the process running on the configured server on the node in real time.
Optionally, the task management module is further configured to:
and starting, closing, adding, deleting, modifying and inquiring processes running on the server on the configured node.
In the embodiment of the invention, modules for deployment management, gateway management, equipment management, task management and the like are provided, and distributed processing is performed on network edge side data close to an object or a data source, so that functions of edge equipment access, edge data acquisition, data processing, data visualization, process monitoring and the like are realized. The edge computing management system configures corresponding communication parameters according to different network protocols, breaks through an edge data access communication link, then a data acquisition engine imports and operates a data processing program according to configured data access address information, acquires and stores real-time data to an edge computing node, and simultaneously, a storage engine models equipment, associates and stores the acquired data points and the equipment, so that the space-time correspondence of material data is realized. In the prior art, when edge side data access is carried out, configuration and deployment are carried out on different field 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 centralized configuration and deployment, 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 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.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and should not be taken as limiting the scope of the present invention, which is intended to cover any modifications, equivalents, improvements, etc. within the spirit and scope of the present invention.

Claims (10)

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 the data of the edge device to be managed;
s2, the data acquisition module inputs the data into the deployment management module, the deployment management module divides the edge device into clusters, the clusters are divided into nodes, and the deployment management module manages the edge device through the clusters;
S3, the deployment management module inputs the data into the equipment management module, and configures the data according to the divided clusters and nodes;
s4, the gateway management module configures and manages the cluster and the edge gateway arranged on the node;
and S5, the task management module configures and manages the server of the node to obtain a management method of the edge device.
2. The method according to claim 1, wherein 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 device into clusters, divides the clusters into nodes, and manages the edge device through the clusters, including:
s21, the cluster configuration unit divides the edge device 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 comprise a management master node and a plurality of other nodes;
s23, the edge acquisition engine configuration unit configures the acquisition engines of the nodes;
And S24, the edge gateway configuration unit configures the communication links of the edge calculation for the plurality of nodes and configures parameters according to the communication mode.
3. The method according to claim 2, wherein the configuring of the plurality of nodes in S22 comprises:
and configuring cluster ID, node name, node host name, node port number, node activity state, node working directory and node sequencing on the plurality of nodes.
4. 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 spatio-temporal transformation unit;
configuring the data comprises:
s31, the configuration unit divides the data into factories, production lines and procedures and configures parameters for the factories, the production lines and the procedures respectively;
s32, acquiring data corresponding to the factory, the production line and the process after the configuration parameters are acquired by the data acquisition unit;
s33, the data access unit stores the collected data in the nodes corresponding to factories, production lines and processes;
and S34, converting the acquired data into length axis data from time axis data by the data space-time transformation unit.
5. The method according to claim 4, wherein the configuration unit in S31 includes a factory configuration module, a process configuration module and an equipment configuration module;
the step of respectively configuring parameters of the factory, the production line and the process comprises the following steps:
the factory configuration module configures the factory name, the factory number and the factory sequence of the node;
the process configuration module configures the process number, the process name and the process sequence of the node, whether an inlet material number is started, whether a length conversion function is provided and whether an attribute is provided;
and the equipment configuration module configures the equipment number, the equipment name, the equipment group, the process number of the equipment, the process time of the equipment, the number of the inlet materials, the equipment sequencing and the plant number of the equipment of the node.
6. The method according to claim 1, wherein the gateway management module in S4 configures and manages edge gateways arranged on clusters and nodes, including:
the gateway management module configures and manages the cluster and the node to which the edge gateway arranged on the node belongs, the gateway name, the gateway type, the address, the port number, the security mode, the security policy, the user identity, the user name, the password and the sequencing function, and performs addition, deletion, modification and query operations according to actual requirements.
7. The method according to claim 1, wherein the task management module in S5 configures and manages a server of a node, including:
the task management module configures a server on a node;
and managing a process interface operated on the server on the configured node.
8. The method of claim 7, wherein managing a process interface running on a server on the configured node comprises:
and monitoring the running state, the process identifier, the CPU load, the memory occupation condition and the abnormal quantity of the process running on the configured server on the node in real time.
9. The method of claim 7, further comprising initiating, shutting down, adding, deleting, modifying, and querying processes running on servers on the configured node.
10. An 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 configured to divide the edge device into clusters, divide the clusters into nodes, and manage the edge device through the clusters;
the equipment management module is used for configuring the data;
the gateway management module is used for configuring and managing the edge gateways arranged on the cluster and the nodes;
and the task management module is used for configuring and managing the server of the node to obtain the management method of the edge device.
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