CN112383416B - Intelligent edge equipment control platform based on KubeEdge and EdgeX foundation - Google Patents
Intelligent edge equipment control platform based on KubeEdge and EdgeX foundation Download PDFInfo
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Abstract
The invention discloses an intelligent edge equipment control platform based on a KubeEdge and an EdgeX foundation, which comprises a KubeEdge system and an EdgeX foundation platform, wherein the KubeEdge system comprises a cloud module and an edge module, the EdgeX foundation platform is deployed to an edge node through the KubeEdge system, and the EdgeX foundation platform is controlled through the edge module; the cloud module controls the edge nodes and issues edge applications through the edge module; the edge module is used for controlling the resource object, reporting edge information to the cloud module, and executing edge node application deployment and data synchronization to the cloud.
Description
Technical Field
The invention relates to the field of edge calculation, in particular to an intelligent edge equipment control platform based on KubeEdge and EdgeX Foundry.
Background
With the continuous advancement and development of the internet of things and 5G technology, cloud computing applications gradually increase and intelligent device data rapidly increase, and enterprise management of devices is continuously updated. The access and data acquisition requirements for devices must be unprecedented. Traditional equipment real-time monitoring and data acquisition using technologies cannot meet the requirements of low delay and high bandwidth. On the other hand, the functional modules of the equipment terminal, the bottom layer system, the equipment access protocol conversion and the like are developed in a single mode, so that the functions of data collection, processing, export, equipment control and the like are realized. Such system designs and implementations present operational difficulties and non-reusable functional modules. In the later development, the system has very poor adaptability and inconvenient system data sharing. The traditional system deployment mode is deployed in a process mode, and the application release and upgrading processes are complex.
Chinese patent document cn201811353747.X, filing date 2018.11.14, patent name: the intelligent equipment based on edge calculation and an access and equipment analysis method are disclosed, and the method for accessing the edge equipment comprises equipment management, equipment access, protocol configuration, data storage and external data interfaces. The method solves the problems of poor maintainability and low expandability of the system of the original data information island.
The intelligent device based on the edge calculation and the access and device analysis method in the patent document solve the problems of the access and device analysis method of the edge device through modularization. However, the related technology for realizing the cooperative function of the AI reasoning sinking edge and the edge equipment is lacking in solving the automatic deployment and maintenance of the edge equipment management system and realizing the cooperation of the cloud application and the edge equipment.
In view of the foregoing, a method for solving the problem of cloud-edge coordination and edge coordination in automatic deployment of an edge equipment control platform is needed. The intelligent edge equipment control platform is more intelligent, and the expansibility of the platform is improved; maintenance cost of upgrading and rollback of a user system is saved; and the application or the AI reasoning model is deployed at the edge, so that the delay of the application to the equipment data management and analysis is reduced, and the user experience is improved.
Disclosure of Invention
In order to solve the defects in the prior art, realize the cooperation of edges and cloud ends and realize the purpose that an AI reasoning model sinks to edge nodes through cloud edge cooperation, the invention adopts the following technical scheme:
the intelligent edge equipment control platform based on the KubeEdge and the EdgeX foundation comprises a KubeEdge system and an EdgeX foundation platform, wherein the KubeEdge system comprises a cloud module and an edge module, the EdgeX foundation platform is deployed to an edge node through the KubeEdge system, and the EdgeX foundation platform is controlled through the edge module; converting the data interaction protocol from the Internet communication protocol to the Internet protocol, then sending the converted data to other micro services for data storage and analysis, and triggering a request command for controlling the equipment, avoiding the transmission of a large amount of data of the Internet of things equipment on the network, saving network resources, and improving the response speed;
the cloud module controls edge nodes and issues edge applications through the edge module, achieves automatic deployment of an intelligent edge equipment control platform and achieves elastic expansion and contraction of the platform, and achieves that applications such as an AI reasoning model sink to an edge end;
the edge module is used for controlling the resource object, reporting edge information to the cloud module, and executing edge node application deployment and data synchronization to the cloud.
The edge X Foundation platform comprises an export service module, a core service module and an equipment service module, wherein the core service module is respectively connected with the export service module and the equipment service module, and the export service module exports required data to a cloud or a third party receiver; the core service module receives and stores the edge equipment data and sends a control command to the edge equipment; and the device service module is used for accessing different edge devices.
The export service module provides a client registration service requiring the edge equipment data; timely notifying, and sending the edge equipment data to the registered client; and processing and retransmitting the format of the edge equipment data.
The core service module comprises a core data micro-service module, a command control micro-service module and a metadata micro-service module, wherein the core data micro-service module is connected with the equipment service module and used for storing information collected by the edge equipment; the command control micro-service module receives a request sent by a cloud or a third party sender, and sends a control command to the edge equipment through the equipment service module; the metadata micro-service module is respectively connected with the core data micro-service module and the command control micro-service module, stores and controls the metadata of the edge equipment connected with the platform, and provides metadata reference for matching between the new edge equipment and the equipment service module.
The core service module also comprises a registration and configuration micro-service module which provides corresponding configuration information for other micro-services of the platform and supports dynamic configuration modification.
The device service module processes the protocol conversion and the data format standardization of the edge device in the south direction, forwards the information of the edge device to the core service module in the north direction, receives the instruction of the core service module and forwards the instruction to the edge device.
The edge X Foundation platform also comprises a support service module which provides micro-services to realize edge data processing analysis and intelligent decision, wherein the support service module comprises a rule engine micro-service which is used for providing an edge event trigger mechanism and monitoring edge equipment data; scheduling a micro-service module, and cleaning equipment data by a user at regular time; the alarm micro-service module is responsible for generating an alarm for equipment faults and sending the alarm; and the log micro-service module is used for receiving the log writing request.
The edge X foundation platform also comprises a system service module, including a safety infrastructure, for protecting data and control commands of external devices in the platform; and (3) controlling the system, and controlling the platform service in a centralized way.
The cloud module comprises a main control node module and a cloud core module, wherein the main control node module receives a client request, controls an edge node through the cloud core module, synchronizes edge node information to the cloud, and achieves a cloud edge cooperative function.
The main control node module comprises an API-Server module, a Scheduler module and a Kube-Controller-Manager module, wherein the API-Server module is used for receiving a client request, the Scheduler module is used for scheduling cloud application deployment, and the Kube-Controller-Manager module is used for controlling a microcontroller of the system.
The cloud core module comprises an edge controller module, a DeviceController module and a CloudHub module, wherein the edge controller module is used for synchronizing information of an edge node and a main control node module, controlling metadata of the edge node and the edge module and ensuring that the data can be transferred to a designated edge node; the DeviceController module is used for synchronizing the edge equipment with the main control node module, controlling the edge equipment and ensuring the synchronization of equipment information, equipment state and cloud edges; and the CloudHub module is communicated with the edge node based on protocol connection, monitors cloud changes and realizes cloud edge communication.
The edge module comprises an edge core module, the edge core module comprises an edge hub module, a MetaManager module, a deviceTain module, an edge module and an EventBus module, the edge hub module interacts with the cloud module, receives information from the cloud and forwards the information to other modules of the edge module, and meanwhile, sends information of the other modules to the cloud module; the MetaManager module is a message processor and is positioned between the edge module and the edge hub module and used for storing or retrieving metadata to a local database, the content of communication between other modules and the cloud module is stored in the local database, when the data needs to be queried, if the data exists in the local database, the data can be obtained locally, frequent network interaction with a surrounding end is avoided, meanwhile, under the condition of network interruption, the locally cached data can also ensure stable operation (for example, an intelligent automobile enters a tunnel without a wireless signal), and after the communication is recovered, the data is re-synchronized; the DeviceTwin module is respectively connected with the edge hub module and the EventBus module, and is used for storing and processing the edge equipment information, synchronizing the edge equipment information to the cloud module and providing a query interface for an application program; the edge module is an agent running on the edge node and used for controlling the containerized application program, guaranteeing that the cloud end can issue the pod and run on the edge node for various configurations and storages, and providing the capabilities of automatic detection, fault recovery and the like after abnormality; the EventBus module is used for sending/receiving a message interface of the theme and providing message subscription and release functions.
The edge computing module further comprises a ServiceBus module, receives the cloud service request and carries out HTTP interaction with the edge application, can upload data of the edge node to the cloud through an HTTP protocol according to the cloud request, is an HTTP client running on the edge, receives the request from the cloud service, interacts with an HTTP server running on the edge, and provides the capability of the cloud service to access the HTTP server of the edge through the HTTP protocol.
The deployment of the intelligent edge equipment control platform based on the KubeEdge and the EdgeX Foundry comprises the following steps:
the method comprises the steps that S1, a cloud module of a Kubeeedge system is deployed at a cloud, an edge module of the Kubeeedge system is deployed at an edge node, cloud edge normal communication is conducted, control of the cloud on the edge node is achieved, the cloud module is used for controlling the edge node and issuing edge application, automatic deployment of an intelligent edge equipment control platform and elastic expansion and contraction of the platform are achieved, and application of an AI reasoning model and the like is sunk to an edge end; the edge module comprises a lightweight kubelet, is used for controlling the life cycle of Kubernetes resource objects such as Pod, volume and the like, and reporting edge load information to the cloud end, and is used for executing edge node application deployment and data synchronization to the cloud end;
s2, sending a deployment request through an API-Server of a main control node module in the KubeEd system, and deploying an EdgeX foundation platform to an edge node in a containerization mode;
s3, abutting edge nodes according to protocol types supported by edge equipment, enabling cloud edge communication, and adopting an edge X foundation platform, wherein the edge X foundation platform comprises the following services:
export service, which exports the processed device data to the cloud or third party application according to specific requirements, including a request registration and export protocol selection function for controlling the third party application;
the core service comprises a core data service, a metadata service and a device command service, wherein the core data service receives event information of the edge device and forwards data to a library based on a message queue for subscription of other micro services; the metadata service controls the registered edge device data; the device command service receives an external request and sends a control instruction to the edge device;
and the equipment service is used for carrying out protocol conversion on specific protocol driving of the edge equipment, converting the protocol type data of the Internet of things into the protocol type data of the Internet through the equipment service after the edge equipment is accessed to the edge node, and sending the protocol converted data to the core data service.
The invention has the advantages that:
the problems of automatic deployment and platform upgrading rollback, capacity expansion and contraction and the like of the edge intelligent control platform are solved, the coordination of cloud edge service is realized, the cloud training model is sunk to the seamless butt joint end equipment data of the edge end, the expandability of the internet of things platform is improved, and the control efficiency of the edge equipment is improved.
Drawings
FIG. 1 is a diagram of a kubreedge framework in the present invention.
Fig. 2 is an interaction diagram of the EdgeX foundation device of the present invention.
FIG. 3 is a flow chart of a deployment edge intelligence control platform request of the present invention.
Detailed Description
The following describes specific embodiments of the present invention in detail with reference to the drawings. It should be understood that the detailed description and specific examples, while indicating and illustrating the invention, are not intended to limit the invention.
As shown in fig. 1, automatic deployment of an edge intelligent device control platform and communication of cloud edges are realized based on KubeEdge, so that cloud edge coordination is realized. The KubeEdge comprises a cloud module and an edge module, wherein the cloud module is used for controlling edge nodes and issuing edge applications, realizing automatic deployment of an intelligent edge equipment control platform and elastic expansion and contraction of the platform, and completing sinking of applications such as an AI reasoning model to an edge end; the edge module comprises a light kubrelet, realizes the life cycle control of Kubernetes resource objects such as Pod, volume and the like, and reports edge load information to the cloud for executing edge application deployment and data synchronization to the cloud.
kubreedge realizes the arrangement of application containers, and the cloud module comprises a kubrenetes (k 8 s) main control node module which is used for synchronizing the application of edge nodes to the cloud so as to realize cloud edge coordination, wherein the cloud main control node controls all edge nodes, including the functions of issuing edge loads, monitoring resources and the like; the edge computing module is used for deploying edge application, controlling edge equipment and realizing cloud edge cooperation with cloud communication.
The kubernetes master control node module comprises an API-Server module, a Scheduler module and a Kube-Controller-Manager module, wherein the API-Server module is used for receiving a client request, the Scheduler module is used for scheduling cloud application deployment, and the Kube-Controller-Manager module controls various microcontrollers of the system.
The Cloud Core module is used as an extension of the Kubernetes master control node module and comprises an edge controller module, a DeviceController module and a CloudHub module, wherein the edge controller module and the DeviceController module are extended Kubernetes controllers, and the edge controller module is used for synchronizing information of an edge terminal and an API-Server, controlling metadata of the edge node and the power, and ensuring that data can be transferred to the appointed edge node; the DeviceController module is used for synchronizing the CRD of the edge device with the API-Server, controlling the edge device and ensuring cloud edge synchronization of device information and device states; the CloudHub module is a Web Socket server, is connected with the edge end based on Websocket or quick protocol and is in charge of monitoring the change of the cloud, caching and sending a message to the edge hub, and cloud edge communication is achieved.
The Edge module comprises an Edge Core module Edge Core, which comprises an Edge hub module, a MetaManager module, a deviceTain module, an Edge module, an EventBus module and a ServiceBus module;
the edge hub module is a Web Socket client and is responsible for interacting with cloud services of edge computing, and comprises the functions of synchronizing cloud resource updating, reporting edge hosts and equipment state changes to the cloud, and the like, and is responsible for receiving information from the cloud and forwarding the information to other modules at each edge, and sending other module messages to the cloud through a tunnel;
the MetaManager module is a message processor and is positioned between the edge and the edge hub, the rear end of the MetaManager module corresponds to a local lightweight database (SQLite), the MetaManager module is responsible for storing/retrieving metadata to the local database, all other modules need to be communicated with the closed end and are stored in the local database, when the data need to be queried, if the data exist in the local database, the data can be acquired from the local, frequent network interaction with the closed end is avoided, meanwhile, under the condition of network interruption, the locally cached data can also ensure the stable operation of the intelligent automobile (for example, the intelligent automobile enters a tunnel without a wireless signal), and after the communication is restored, the data is re-synchronized;
the devicetain module is responsible for storing the equipment state of the Internet of things, processing the equipment attribute, synchronizing the equipment state to the cloud, and providing a query interface for an application program;
the edge module is an agent running on the edge node and used for controlling the containerized application program, guaranteeing that the cloud end can issue the pod and run on the edge node for various configurations and storages, and providing the capabilities of automatic detection, fault recovery and the like after abnormality;
the EventBus module is an MQTT client which interacts with an MQTT server (MQTT Broker: mole) and serves as a message interface for sending/receiving related MQTT topics, and provides subscription and release functions for other components;
the ServiceBus module receives the cloud service request and the edge application to carry out HTTP interaction, can upload the data of the edge node to the cloud through an HTTP protocol according to the cloud request, is an HTTP client running on the edge, receives the request from the cloud service, interacts with an HTTP server running on the edge, and provides the capability of the cloud service to access the HTTP server of the edge through the HTTP protocol.
As shown in fig. 2, the EdgeX foundation is deployed as an edge device control platform at an edge node, and includes: the export service module exports the needed data to a cloud or other third party receivers; the core service module is used for storing the equipment data and sending a control command to the equipment; and the equipment service module is accessed to different edge equipment. The edge X foundation is deployed on an edge cluster through a KubeEd, automatic deployment of an edge equipment control platform and centralized control of equipment are finally achieved, according to the position relation between the equipment of the Internet of things and the edge nodes, all micro services (including equipment micro services) of the edge X foundation are deployed to the edge nodes through the KubeEd, a data interaction protocol is converted from an Internet communication protocol to an Internet protocol, and then the converted data are sent to other micro services for data storage and analysis, and a request command for equipment control is triggered.
Further, the EdgeX foundation edge intelligent device control platform comprises an export service module, a core service module, a device service module, a support service module and a system service module;
the export service module works independently of other systems and can process data even under offline conditions. However, in some situations, the edge platform needs to communicate with the cloud platform or other third party systems, the collected device information is exported to the cloud or other third party applications for further processing, the function of the export layer is to realize that the data in the edge internet of things platform is exported from the cloud platform for storage and analysis through various protocols, and the export layer comprises several key micro-services, namely the following main functions:
(1) Providing a client registration service requiring device data;
(2) Timely notifying, and transmitting the device data to the registered client;
(3) And processing and retransmitting the format of the device data, and supporting json format or XML format.
The support service module is positioned on the support service layer and provides a plurality of micro services to realize edge data processing analysis and intelligent decision making and serve the system. For example: log, schedule, and data clean-up functions, all provided by the micro-service form. The support service layer also comprises a rule engine micro-service of the rule engine of the rule system, which is used for providing an edge event triggering mechanism and monitoring edge equipment data; a Scheduler micro-service for users to clean the equipment data at regular time; a Notification alarm micro service, which is responsible for generating an alarm for equipment faults and sending the alarm; the Logging microservice is used for receiving a write log request.
The core service module is positioned on the core service layer to separate the north and south sides of the frame and comprises the following modules:
(1) The Core-Data Core Data microservice module is a Data storage library and is used for storing information collected by an edge device end;
(2) The Command Command controls the micro-service module, receives a RestAPI request sent by a cloud or other applications, sends a control Command to the equipment, and forwards the control Command to the southbound equipment service module;
(3) Metadata micro-service module for storing and controlling Metadata of device connected to platform, and providing Metadata reference for matching between new device and service module of device;
(4) And registering and configuring the micro-service module by using the registry and config to provide corresponding configuration information for other micro-services of the platform and support dynamic configuration modification.
The device service module is mainly used for processing protocol conversion and data format standardization of different devices of the Internet of things in the south direction, forwarding device information to the core service layer in the north direction, receiving an instruction from the command control service and forwarding the instruction to the devices of the Internet of things. The device service module may serve one or more internet of things devices (e.g., sensors, actuators, etc.), support a variety of internet of things protocols, such as modbus, MQTT, BLE, BACnet, etc.
The system service module comprises a security infrastructure and system control, wherein security factors comprise data and control commands of the internal and external of the platform system, which need to protect the IOT device; the system control provides for centralized start, stop, and restart operations for platform services.
As shown in fig. 1-3, the device for constructing the control platform of the edge intelligent device based on kubeeedge and EdgeX foundation comprises the following steps:
step one: the Cloud Part is deployed at the Cloud, the edge core module and the communication module are deployed at the edge node, the normal communication of the Cloud edge is opened, and the Cloud can control the edge node;
step two: an intelligent edge control platform deployment request is sent through an apiServer of a cloud K8S, and an edge X foundation platform is deployed to an edge end in a containerization mode;
step three: according to protocol type docking equipment supported by edge equipment, communication at a cloud edge is conducted, and an edge X Foundry platform is adopted and comprises the following modules:
the export service module exports the processed device data to a cloud or a third party application according to specific requirements, and comprises a request registration and export protocol selection function for controlling the third party application;
the core service module is used for receiving event information of the edge equipment by the core data service and forwarding the data to the zeroMq for subscription of other micro services; the metadata service controls registered device data, including device names, IDs, tags, etc.; the device command service may receive an external REST request to send a control instruction to the device;
the device service module is used for driving a specific protocol of the docking device, and after the edge intelligent device is accessed to the edge node, the device service module is used for converting the protocol type data of the Internet of things into the data of the Internet protocol type and sending the data to the core data service module.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced with equivalents; such modifications and substitutions do not depart from the spirit of the technical solutions according to the embodiments of the present invention.
Claims (9)
1. The intelligent edge equipment control platform based on the KubeEdge and the EdgeX foundation comprises a KubeEdge system and an EdgeX foundation platform, wherein the KubeEdge system comprises a cloud module and an edge module, and is characterized in that the EdgeX foundation platform is deployed to an edge node through the KubeEdge system, and the EdgeX foundation platform is controlled through the edge module;
the cloud module controls the edge nodes and issues edge applications through the edge module;
the edge module is used for controlling the resource object, reporting edge information to the cloud module, and executing edge node application deployment and data synchronization to the cloud;
the edge module comprises an edge core module, the edge core module comprises a MetaManager module, the MetaManager module is a message processor and is positioned between the edge module and the edge hub module and used for storing or retrieving metadata to a local database, the content of other modules communicated with the cloud module is stored in the local database, when data need to be queried, if the data exist in the local database, the data can be acquired from the local, under the condition of network interruption, the local cached data can also ensure the stable operation of the data, and after communication is recovered, the data are re-synchronized;
the edge X Foundation platform comprises an export service module, a core service module and an equipment service module, wherein the core service module is respectively connected with the export service module and the equipment service module, and the export service module exports required data to a cloud or a third party receiver; the core service module receives and stores the edge equipment data and sends a control command to the edge equipment; the device service module is used for accessing different edge devices;
the export service module comprises the following functions:
(1) Providing a client registration service requiring device data;
(2) Timely notifying, and transmitting the device data to the registered client;
(3) And processing and retransmitting the format of the device data, and supporting json format or XML format.
2. The intelligent edge device control platform based on KubeEdge and EdgeX foundation of claim 1, wherein the export service module provides a client registration service requiring edge device data; timely notifying, and sending the edge equipment data to the registered client; and processing and retransmitting the format of the edge equipment data.
3. The intelligent edge device control platform based on kubeeedge and EdgeX foundation according to claim 1, wherein the core service module comprises a core data micro service module, a command control micro service module and a metadata micro service module, and the core data micro service module is connected with the device service module and is used for storing information collected by the edge device; the command control micro-service module receives a request sent by a cloud or a third party sender, and sends a control command to the edge equipment through the equipment service module; the metadata micro-service module is respectively connected with the core data micro-service module and the command control micro-service module, stores and controls the metadata of the edge equipment connected with the platform, and provides metadata reference for matching between the new edge equipment and the equipment service module.
4. The intelligent edge device control platform based on KubeEdge and EdgeX foundation according to claim 1, wherein the device service module processes edge device protocol conversion and data format standardization in the south direction, forwards the edge device information to the core service module in the north direction, receives instructions from the core service module and forwards the instructions to the edge device.
5. The intelligent edge device control platform based on KubeEdge and EdgeX foundation according to claim 1, wherein the cloud module comprises a main control node module and a cloud core module, the main control node module receives a client request, controls an edge node through the cloud core module, and synchronizes edge node information to the cloud.
6. The intelligent edge device control platform based on KubeEdge and EdgeX foundation of claim 5, wherein the main control node module comprises an API-Server module, a Scheduler module, and a Kube-Controller-Manager module, the API-Server module is configured to receive a client request, the Scheduler module is configured to schedule cloud application deployment, and the Kube-Controller-Manager module is configured to control a microcontroller of the system.
7. The intelligent edge device control platform based on kubeeedge and EdgeX foundation of claim 5, wherein the cloud core module comprises an EdgeController module, a DeviceController module and a CloudHub module, the EdgeController module is used for synchronizing information of an edge node and a main control node module and controlling metadata of the edge node and the edge module; the DeviceController module is used for synchronizing the edge equipment with the main control node module and controlling the edge equipment; the CloudHub module is communicated with the edge node based on protocol connection and monitors cloud changes.
8. The KubeEdge and EdgeX foundation-based intelligent edge device control platform of claim 1, wherein the edge module comprises an edge core module, the edge core module comprises an EdgeHub module, a MetaManager module, a DeviceTwin module, an Edged module and an EventBus module, the EdgeHub module interacts with a cloud module, receives information from the cloud and forwards the information to other modules of the edge module, and simultaneously sends information of the other modules to the cloud module; the MetaManager module is a message processor and is positioned between the edge module and the edge hub module and used for storing or retrieving metadata to a local database, and the content of the communication between other modules and the cloud module is stored in the local database; the DeviceTwin module is respectively connected with the edge hub module and the EventBus module, and is used for storing and processing the edge equipment information, synchronizing the edge equipment information to the cloud module and providing a query interface for an application program; the edge module is an agent running on the edge node and used for controlling the containerized application program; the EventBus module is used for sending/receiving a message interface of the theme and providing message subscription and release.
9. The KubeEdge and EdgeX foundation-based intelligent edge device control platform of claim 1, wherein the deployment of the platform comprises the steps of:
s1, deploying a cloud module of a KubeEdge system at a cloud end, deploying an edge module of the KubeEdge system at an edge node, wherein the cloud module is used for controlling the edge node and issuing edge applications; the edge module is used for controlling the resource object, reporting edge information to the cloud end, and executing edge node application deployment and data synchronization to the cloud end;
s2, sending a deployment request through an API-Server of a main control node module in the KubeEd system, and deploying an EdgeX foundation platform to an edge node in a containerization mode;
s3, abutting the edge nodes according to the protocol types supported by the edge equipment, and adopting an edge X foundation platform, wherein the edge X foundation platform comprises the following services:
export service, export the device data after processing according to the specific demand;
the core service comprises a core data service, a metadata service and a device command service, wherein the core data service receives event information of the edge device and forwards data to a library based on a message queue for subscription of other micro services; the metadata service controls the registered edge device data; the device command service receives an external request and sends a control instruction to the edge device;
and the device service is used for carrying out protocol conversion on specific protocol driving of the interface edge device and sending the data converted by the protocol to the core data service.
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