CN114371938B - Space-based intelligent networking edge computing framework - Google Patents
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Abstract
The application relates to a space-based intelligent networking edge computing framework. The cloud edge concept is introduced into a satellite platform of a space base, wherein a ground control end is a cloud end, the satellite platform is an edge node, the intelligent online concept is introduced for realizing the characteristic that the satellite platform has the edge node, and task execution can be carried out through different loads by means of cloud edge cooperation of the satellite platform and the ground control end and edge cooperation between the satellite platforms aiming at different edge calculation tasks. Therefore, when edge calculation is carried out, not only real-time edge calculation operation can be supported, but also non-real-time edge calculation operation of a large amount of data is supported, and the intelligent calculation capacity of the inter-satellite network is greatly improved.
Description
Technical Field
The application relates to the technical field of satellite communication, in particular to a space-based intelligent networking edge computing framework.
Background
The complexity of future satellite equipment is gradually increasing, which results in a substantial increase in equipment development time investment, the simplest method of lifecycle of traditional on-board processing software is to develop, test and deploy the software, and once on-orbit cannot be updated to accommodate the constant change of threat and task demands, massive data, and increasingly faster running speeds. The construction of an intelligent and autonomous on-board processing complex operation system is a more iterative process of designing, building, testing, modifying and testing. The intelligent and autonomous on-board processing software system is essentially different from the traditional software, and has data-driven and non-deterministic characteristics due to the continuous change of the environment and the target characteristics. In order to realize the digital transformation and implementation agility development of the intelligent age in the on-board processing, a set of digital architecture based on cloud-edge integration needs to be built, and the speed of data sharing and decision making is improved.
The edge computing is a distributed computing form which stores main data processing and data in network edge nodes, can provide edge intelligent services nearby, and meets key requirements of applications in the aspects of agile connection, real-time business, data optimization, application intelligence, security, privacy protection and the like. In the context of a space-based network, the network connection between satellites differs from the ground computing device, so how to apply edge computing to a space-based network becomes a new problem.
Disclosure of Invention
Based on this, it is necessary to provide an edge computing framework for an intelligent space-based networking in view of the above technical problems.
A space-based intelligent networking edge computing framework, the framework comprising: ground control end, satellite platform, intelligent online and load;
the satellite platform comprises: a satellite-to-ground link and an inter-satellite link; the inter-satellite link is used for being connected with a ground control end, and is in inter-satellite communication with other satellites;
the intelligent online comprises: an edge management core, a data sharing engine, a side-to-side cooperative Shi Min transmission control module and a semantic abstraction and interoperation module; the edge management core is in data connection with the data sharing core, the edge management core is connected with the satellite-to-ground link, the data sharing engine is used for carrying out data interaction with service application, the edge cooperative Shi Min transmission control module is connected with the data sharing engine, and the edge cooperative Shi Min transmission control module is connected with the inter-satellite link;
the load is connected with the semantic abstraction and interoperation module, and interacts with the semantic abstraction and interoperation module through a space load unified interaction semantic interoperation protocol.
In one embodiment, the surface control end is constructed based on Kubernetes.
In one embodiment, the load and the semantic abstraction and interoperability module interact through a side semantic level interoperability interface module; and the side semantic level interoperation interface module converts the message into a message of a space load unified interaction semantic interoperation protocol after receiving the message sent by the semantic abstraction and interoperation module, so that the load reads and writes the message of the space load unified interaction semantic interoperation protocol.
In one embodiment, the ground control end models the load by using a space load unified interaction semantic interoperation protocol to obtain modeling metadata;
the ground control end sends the modeling metadata to the intelligent online through the satellite-ground link, and the intelligent online builds equipment twinning of the load according to the modeling metadata, and synchronizes the equipment state of the load into the intelligent online through the equipment twinning.
In one embodiment, the edge computation framework comprises:
the edge process component is arranged on the intelligent online machine;
the edge process component includes: the system comprises an edge application management component, an edge metadata management component, an edge communication interface component, an edge equipment software mirror image component and an edge communication component;
the cloud process component is arranged at the ground control end;
the cloud process component comprises: the cloud communication interface component and the edge node management component.
In one embodiment, the edge application management component is configured to manage a lifecycle of the alliance task resource object;
the edge metadata management component is a message processor between the edge application management component and the edge communication interface component and is used for managing metadata on edge nodes;
the edge communication interface component is a Web socket client and is used for interaction between edge calculation in a ground control end and cloud service provided by intelligent online;
the edge equipment software mirror assembly is used for synchronizing the equipment state of the edge node to the ground control end;
the edge communication component is operative to provide publish and subscribe functionality.
In one embodiment, the cloud communication interface component is a Web socket client, and is configured to monitor modification and caching of a ground control end and send a message to the edge communication interface component;
the edge node management component is an extended intelligent task controller for managing the edge nodes and modeling metadata.
In one embodiment, the semantic abstraction and interoperability module includes: an event bus and an MQTT/DDS proxy;
the event bus receives the information sent by the data sharing engine, converts the information into an MQTT/DDS protocol information through an MQTT/DDS agent, and converts the MQTT/DDS protocol information into an information of a space load unified interaction semantic interoperation protocol, wherein the MQTT/DDS protocol information is received by the side semantic interoperation interface module.
In one embodiment, the ground control end communicates with a satellite platform through a cloud control center.
In one embodiment, the cloud control center includes: edge controllers, validity checks, device abstraction APIs, and container storage interface drivers.
According to the space-based intelligent network connection edge computing framework, the cloud edge concept is introduced into the space-based satellite platform, wherein the ground control end is the cloud end, the satellite platform is the edge node, the intelligent network connection concept is introduced for realizing the characteristic that the satellite platform has the edge node, and aiming at different edge computing tasks, task execution can be carried out through different loads through the cloud edge cooperation of the satellite platform and the ground control end and the edge cooperation between the satellite platforms, so that the working efficiency of the satellite is improved.
Drawings
FIG. 1 is a schematic diagram of an edge computing framework for an space-based intelligent network in one embodiment;
FIG. 2 is a schematic diagram of intelligent task execution of an edge computing framework in one embodiment;
FIG. 3 is a framework design diagram of an inter-star network interoperability presentation system in one embodiment;
FIG. 4 is a schematic diagram of a cloud control of a SpaceEdge in another embodiment;
FIG. 5 is a schematic diagram of an edge semantic level interoperation interface in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
In one embodiment, as shown in FIG. 1, there is provided a space-based intelligent networked edge computing framework comprising: ground control end, satellite platform, intelligent online and load; the satellite platform includes: a satellite-to-ground link and an inter-satellite link; the inter-satellite link is used for communicating with other satellites; intelligent online comprises: an edge management core, a data sharing engine, a side-to-side cooperative Shi Min transmission control module and a semantic abstraction and interoperation module; the edge management core is in data connection with the data sharing core, the edge management core is connected with the satellite-to-ground link, the data sharing engine is used for carrying out data interaction with the business application, the edge cooperative Shi Min transmission control module is connected with the data sharing engine, and the edge cooperative Shi Min transmission control module is connected with the inter-satellite link; the load is connected with the semantic abstraction and interoperation module, and interacts with the semantic abstraction and interoperation module through a space load unified interaction semantic interoperation protocol.
According to the space-based intelligent network connection edge computing framework (space edge), the cloud edge concept is introduced into the space-based satellite platform, wherein the ground control end is the cloud end, the satellite platform is the edge node, the intelligent network connection concept is introduced for realizing the characteristic that the satellite platform has the edge node, and aiming at different edge computing tasks, task execution can be carried out through different loads through the cloud edge cooperation of the satellite platform and the ground control end and the edge cooperation between the satellite platforms, so that the working efficiency of the satellite is improved.
In fig. 1, the ground control end group is constructed based on Kubernetes. For the satellite platform of the edge node, the capacity of k8s is expanded to the edge side, the management surface of Kubernetes is reserved, the node agent is redeveloped, and the resource occupation of the edge component is lower due to the substantial optimization. The performance of communication of cloud edges is optimized through the multiplexing message channel optimized by the bottom layer. The bottom layer perfectly supports ARM architecture and x86 architecture, and the management of more heterogeneous servers is satisfied. The edge side is extremely lightweight, taking up about 70M of resources. The cloud center can manage the edge node application and uniformly distribute and upgrade the application. The edge computing framework enriches application and protocol support, and currently supported is: the MQTT/DDS, blueTooth, SPC-UA (space load unified interaction semantic interoperability protocol), RS232, CAN and the like CAN also be expanded to support bus protocols such as 1553B, TTE and the like, and the protocols perform device protocol conversion through a side semantic level interoperability interface (Edge SemanticPort) module so as to realize seamless access and real-time communication of load devices.
In one embodiment, the payload and semantic abstraction interacts with the interoperability module through a side semantic level interoperability interface (Edge SemanticPort) module; the side semantic level interoperation interface (Edge SemanticPort) module converts the message into a message of a space load unified interaction semantic interoperation protocol after receiving the message sent by the semantic abstraction and interoperation module, so that the load reads and writes the message of the space load unified interaction semantic interoperation protocol.
In one embodiment, the ground control end models the load by using a space load unified interaction semantic interoperation protocol to obtain modeling metadata; the ground control end sends modeling metadata to the intelligent online through the satellite-ground link, the intelligent online builds equipment twinning of the load according to the modeling metadata, and the equipment state of the load is synchronized into the intelligent online through the equipment twinning.
In one embodiment, an edge computation framework includes: the edge process component is arranged on the intelligent online; the edge process component includes: the system comprises an edge application management component, an edge metadata management component, an edge communication interface component, an edge equipment software mirror image component and an edge communication component; the cloud process component is arranged at the ground control end; the cloud process component comprises: the cloud communication interface component and the edge node management component.
Specifically, the edge application management component is used for managing the life cycle of the intelligent task resource object; the edge metadata management component is a message processor between the edge application management component and the edge communication interface component and is used for managing metadata on the edge nodes; the edge communication interface component is a Web socket client and is used for interacting edge calculation in the ground control end with cloud services provided by intelligent online; the edge equipment software mirror image component is used for synchronizing the equipment state of the edge node to the ground control end; the edge communication component is operative to provide publish and subscribe functionality.
In one embodiment, the cloud communication interface component is a Web socket client, and is configured to monitor modification and caching of the ground control end and send a message to the edge communication interface component; the edge node management component is an extended intelligent task controller for managing the edge nodes and modeling metadata.
Thus, as shown in fig. 2, the intelligent task manager of the edge computing framework runs on the cloud, and a user can manage edge nodes, devices and applications on the cloud directly through kubectl command lines, so that the usage habit is completely consistent with that of the SpaceEdge intelligent task. From the above analysis, the SpaceEdge has obvious advantages in cloud edge collaborative operation deployment:
(1) Edge calculation: in the case of edge-running business logic, larger amounts of data may be protected and handled locally where the data is generated. This reduces network bandwidth requirements and consumption between the edge and the cloud. This improves response capability, reduces costs, and protects the customer's data privacy.
(2) Simplified development: a developer may write conventional HTTP or MQTT/DDS-based applications, load these applications into the intelligent virtual machine, and run them anywhere suitable (whether in the edge or cloud).
(3) The spaceEdge intelligent link task local support: through the SpaceEdge, a user can coordinate applications, manage devices, and monitor application and device states on edge nodes, just like a SpaceEdge intelligent task cluster in the cloud.
(4) Rich applications: existing advanced applications such as complex machine learning, image recognition, event processing and the like are easily deployed to the edge.
In one embodiment, the semantic abstraction and interoperability module includes: an event bus and an MQTT/DDS proxy; the event bus receives the information sent by the data sharing engine, converts the information into an MQTT/DDS protocol information through an MQTT/DDS proxy, converts the MQTT/DDS protocol information received by an edge semantic level interoperation interface (Edge SemanticPort) module into an information of a space load unified interaction semantic interoperation protocol.
Specifically, the inter-satellite network interoperation demonstration system is built and divided into three parts of cloud edge, space edge framework management is carried out between the whole platform equipment by using a space-based intelligent networking edge computing framework, and a specific framework diagram and a specific framework assembly are shown in fig. 3:
the inter-star network interoperability presentation system deploys applications to edge devices using space edge containerization techniques of the space-based intelligent networking edge computing framework. The whole framework is built based on kubernetes, supports basic framework for deployment application, supports deployment and metadata synchronization between cloud and edges, supports cloud edge coordination, computing subsidence, load equipment management, edge autonomy and other capabilities, and pursues extremely light edge. The whole system flow is as follows: the cloud end models the device with SPC-UA (space load unified interaction semantic interoperation protocol), the built model metadata is issued to the edge, the edge builds device twinning according to the cloud end model, meanwhile, the message received by the cloud end is converted into MQTT/DDS message to be issued, and after receiving the message from the MQTT/DDS, the edge semantic interoperation interface (Edge SemanticPort) converts the MQTT/DDS protocol into a protocol corresponding to SPC-UA semantic operation device, so that the SPC-UA protocol can read and write the device.
As shown in fig. 4, the SpaceEdge is integrated with a cloud control center at the cloud end to communicate with the edge end, and stores data collected by the edge into an Etcd database of the K8S, so that unified management of the K8S is facilitated.
The cloud process of the SpaceEdge contains the following 2 components:
(1) Cloud edge interface CloudBus: the cloud communication interface module adopts a WEB socket server and is responsible for monitoring the change and caching of the cloud and sending messages to the edge port.
(2) Cloud edge deployment manager edge depth: edge nodes are managed, and edge nodes and pod metadata are managed so that data can be directed to a particular edge node.
The SpaceEdge edge process contains the following 5 components:
(1) Edge management edgeManage: and managing the intelligent virtual machine application program of the edge to realize the life cycle management of the intelligent task resource objects such as Pod, volume, node and the like.
(2) Metadata management MetaDataBase: the metadata on the management edge node is the message handler between the edge and the edge port, and is also responsible for storing/retrieving metadata in the lightweight database.
(3) Edge intelligent cloud interface edge port: and the communication interface module of the edge adopts a WEB socket client and is responsible for the interaction between the edge computing and the cloud service.
(4) Edge autonomous mirror image EdgeTwinMap: is a device software image that handles device metadata, and this module helps handle device state autonomy and synchronize it onto the cloud.
(5) Edge intelligent sensor interface sensor port: the internal edge communication is processed by using the MQTT/DDS, and the MQTT/DDS server is adopted to interact with the MQTT/DDS client on the sensor end side so as to provide the publishing and subscribing functions for other components.
The edge port is used as a WebSocket client and is responsible for cloud service interaction with edge computing, and the functions of synchronizing cloud resource updating, reporting state change of an edge satellite node to the cloud and the like are included. MetaDataBase is responsible for storing spectrum monitoring metadata to or retrieving metadata from a lightweight database (SQLite). The edge core edge is an edge satellite node module for managing the life cycle of the Pod node deployed with the spectrum monitoring application, and the workloads can perform any operation from simple monitoring data operation to analysis and the like, and the device management module is responsible for storing the device state and processing the device attribute.
In order to facilitate unified management of the devices at the edge, the SpaceEdge uses an edge semantic level interoperation interface (Edge SemanticPort) to convert the message of the SPC-UA semantic interoperation protocol into an MQTT/DDS protocol in a unified manner, and uploads the message to the cloud for unified management. The side semantic level interoperation interface (Edge SemanticPort) is shown in fig. 5 as six components, which are a task scheduler, a controller, a monitor, a data converter, an event manager, and a health detector. As an interface between the SpaceEdge and the device. It can set/acquire device data, acquire and report device status.
The SpaceEdge uses device controllers, device twinning, and edge semantic level interoperation interfaces (Edge SemanticPort) to control devices. The device controller is in the cloud, which uses custom device files to define and control the devices. The device twinning is located at the edge side, which stores the information transmitted from the device controller and the MQTT/DDS server, and the edge semantic level interoperation interface (Edge SemanticPort) subscribes and publishes the MQTT/DDS server and the device twinning communication, and then converts the information from the MQTT/DDS protocol into the corresponding device-side protocol.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.
Claims (4)
1. A space-based intelligent networking edge computing framework, the framework comprising: ground control end, satellite platform, intelligent online and load;
the ground control end is constructed based on Kubernetes;
the satellite platform comprises: a satellite-to-ground link and an inter-satellite link; the inter-satellite link is used for being connected with a ground control end, and is in inter-satellite communication with other satellites;
the intelligent online comprises: an edge management core, a data sharing engine, a side-to-side cooperative Shi Min transmission control module and a semantic abstraction and interoperation module; the edge management core is in data connection with the data sharing engine, the edge management core is connected with the satellite-to-ground link, the data sharing engine is used for carrying out data interaction with service application, the edge cooperative Shi Min transmission control module is connected with the data sharing engine, and the edge cooperative Shi Min transmission control module is connected with the inter-satellite link;
the load and the semantic abstraction and interoperation module interact through a side semantic level interoperation interface module;
the side semantic level interoperation interface module converts the message into a message of a space load unified interaction semantic interoperation protocol after receiving the message sent by the semantic abstraction and interoperation module, so that the load reads and writes the message of the space load unified interaction semantic interoperation protocol;
the semantic abstraction and interoperation module includes: an event bus and an MQTT/DDS proxy;
the event bus receives the information sent by the data sharing engine, the information is converted into an MQTT/DDS protocol information through an MQTT/DDS agent, the side semantic level interoperation interface module receives the MQTT/DDS protocol information, and the MQTT/DDS protocol information is converted into a space load unified interaction semantic interoperation protocol information;
the edge computing framework further includes:
the edge process component is arranged on the intelligent online machine;
the edge process component includes: the system comprises an edge application management component, an edge metadata management component, an edge communication interface component, an edge equipment software mirror image component and an edge communication component;
the cloud process component is arranged at the ground control end;
the cloud process component comprises: the cloud communication interface component and the edge node management component;
the edge application management component is used for managing the life cycle of the intelligent task resource object;
the edge metadata management component is a message processor between the edge application management component and the edge communication interface component and is used for managing metadata on edge nodes;
the edge communication interface component is a Web socket client and is used for interaction between edge calculation in a ground control end and cloud service provided by intelligent online;
the edge equipment software mirror assembly is used for synchronizing the equipment state of the edge node to the ground control end;
the edge communication component is used for providing a publishing and subscribing function;
the cloud communication interface component is a Web socket client and is used for monitoring the change and caching of the ground control end and sending a message to the edge communication interface component;
the edge node management component is an extended intelligent task controller for managing the edge nodes and modeling metadata.
2. The edge computing framework of claim 1, wherein the ground control end models the load by using a space load unified interaction semantic interoperability protocol to obtain modeling metadata;
the ground control end sends the modeling metadata to the intelligent online through the satellite-ground link, and the intelligent online builds equipment twinning of the load according to the modeling metadata, and synchronizes the equipment state of the load into the intelligent online through the equipment twinning.
3. The edge computing framework of any of claims 1-2, wherein the ground control end communicates with a satellite platform through a cloud control center.
4. The edge computing framework of claim 3, wherein the cloud control center comprises: edge controllers, validity checks, device abstraction APIs, and container storage interface drivers.
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