CN109981769B - Network cooperation model, method and device for industrial intelligent manufacturing - Google Patents
Network cooperation model, method and device for industrial intelligent manufacturing Download PDFInfo
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Abstract
The invention relates to the field of internet, and particularly discloses an industrial intelligent manufacturing-oriented network cooperation model, a method and a device, which comprise an SDN network cooperation model, a central controller device and an edge controller device based on edge calculation, and a key technology related to industrial internet topology management: the method comprises a distributed network topology discovery method, a network state consistency updating method and a network anomaly detection and recovery method. The invention can realize the unified management and centralized control of the equipment, application and system of industrial intelligent manufacturing, and solves the problems of rapid topology discovery, consistent state update and automatic abnormal recovery from the industrial network level.
Description
Technical Field
The invention relates to the field of Internet, in particular to a network cooperation model, a method and a device for industrial intelligent manufacturing.
Background
The rapid development of the internet + promotes the rapid development of digitization, networking and intelligence of industrial manufacturing, and under the cooperative manufacturing mode of the internet +, industrial manufacturing enterprises do not independently perform centralized production, design research and development, production manufacturing and marketing services any more, but stand up to customer requirements, and no more business, order, capital, production, logistics and service need to be completed cooperatively in multiple ways, so that the internet-based industrial intelligent manufacturing becomes an important future development direction of the manufacturing industry.
From the perspective of key technology, the industrial manufacturing based on the internet needs technical support in multiple fields such as internet of things technology, emerging network and information technology, artificial intelligence technology and the like. The interconnection and intercommunication technology and the network cooperation technology at the network level play a role in starting and stopping the equipment data and the application service. If the scope of network collaborative technology research work is expanded to the internet, the related research work is mainly divided into three categories: the Network management and cooperation method based on the cloud computing comprises a Network cooperation technology based on cloud computing, a Network cooperation technology based on edge computing and a Network management and cooperation technology based on Software-defined networking (SDN).
The network cooperation technology based on cloud computing appears at the earliest, network interconnection and data synchronization are provided for third-party services through cloud services, but due to the factors that the physical distance between the cloud services and network equipment is usually long, the network delay is high, the network bandwidth is limited and the like, the network cooperation technology based on cloud computing has the defects of high response time, poor communication quality, high potential safety hazard and the like.
The network cooperation technology based on edge computing solves the performance and safety problems of cloud computing, but the management difficulty and maintenance cost of distributed network nodes are rapidly improved along with the increase of the scale of the nodes.
The network cooperation technology based on the SDN solves the management and maintenance difficulty of the network nodes, the communication paths and the network topology, but the situation that the topology discovery is slow, the network state is inconsistent and the network is abnormally recovered slowly in the network cooperation can still be caused by not considering the problem of the placement of the controller.
Disclosure of Invention
The invention aims to provide a network cooperation model, a method and a device for industrial intelligent manufacturing, which aim to solve the problems in the background technology.
Aiming at the characteristics of various isomerism, rich industrial manufacturing services and complex and diverse industrial network environments of industrial manufacturing equipment, the patent provides a network cooperation model oriented to industrial intelligent manufacturing, integrates an edge computing technology and an SDN technology, respectively exerts the characteristics of adjacent computing, storage and communication of the edge computing technology and the SDN technology and the advantages of management, control and maintenance of the SDN technology, manages and controls equipment, applications and systems related to the aspects of services, orders, funds, production, logistics, services and the like of the industrial manufacturing, solves the problems of rapid topology discovery, consistent state updating and abnormal automatic recovery from an industrial network level, ensures the safety and reliability of data synchronization, data sharing and data backup of an industrial data level, and meets the requirements of personalized customization, networked cooperation and intelligent production of the industrial manufacturing.
In order to achieve the purpose, the invention provides the following technical scheme:
a controller device for network coordination comprises a central controller and an edge controller, and is used for supporting distributed network topology discovery, network state consistency updating and network anomaly detection and recovery.
An SDN network cooperation model based on edge calculation comprises a data acquisition layer, a network fusion layer, an edge control layer and a central control layer which are sequentially connected;
the data acquisition layer: the system comprises data acquisition equipment, application and a system, wherein the data acquisition equipment comprises Internet of things sensing equipment, Internet communication equipment, service network terminal equipment and the application and the system facing specific services such as data acquisition, fusion, statistics, calculation, analysis, mining and the like;
the network fusion layer: the system comprises an IIoT gateway, data fusion and network fusion services provided by the IIoT gateway, an OpenFlow agent and an Overlay service controlled and started by the OpenFlow agent;
the data fusion service is used for supporting various data aggregation of the data acquisition layer, the Overlay service can be used for providing a network transmission tunnel, and an OpenFlow control channel for receiving a control instruction, executing a script and a network rule is established between the OpenFlow agent and the edge controller;
the edge control layer: the system comprises an OpenFlow edge controller and topology management service;
an OpenFlow control channel for receiving and issuing control instructions is established between the OpenFlow edge controller and the central controller, and an OpenFlow control channel for executing scripts and network rules is established between the edge controller and the IIoT gateway;
the edge controller is placed at a physical edge position adjacent to the IIoT gateway;
the central control layer: the topology management system is composed of an OpenFLow controller for managing an OpenFLow edge controller and a topology management service based on a Quagga software router.
An industrial internet topology management service method is based on a Quaga software router and used for managing and maintaining distributed network nodes, and executing network topology discovery, network state updating, network anomaly detection and recovery;
distributed network node: the system comprises a central controller node and an edge controller node; network exception and repair: for handling IIoT gateway exception conditions caused by controller node failure.
Further, the network cooperation management service method comprises a distributed network topology discovery method, wherein the method divides the overall topology into an edge computing network topology and an interconnection network topology;
the controller for supporting the topology discovery of the distributed network consists of OPC/OPEC, a Quagga software router, OSPF protocol and BGP protocol services provided by the Quagga software router, and a directed acyclic graph/DAG subgraph storage structure.
Further, the edge computing network topology is composed of a central controller discovering a lower layer edge controller, the central controller discovering the lower layer edge controller and the lower layer edge controller forming a two-layer network based on the OpenFlow protocol communication, the layer topology adopts a method based on an OSPF protocol to discover and manage the topology, and a global topology DAG is generated according to a local topology DAG subgraph uploaded by the edge controller;
the interconnection and interworking network topology relates to an edge controller, an IIoT gateway and heterogeneous network equipment below the gateway;
the interconnection and intercommunication network topology is composed of an IIoT gateway at a lower layer discovered by an edge controller, topology discovery and management are carried out on the layer by adopting a method based on a BGP protocol, DAG subgraphs of the layer network topology are locally calculated, and finally the DAG subgraphs of the local topology are uploaded to a central controller through a control channel.
Further, the network cooperation management service method also comprises a network state consistency updating method, wherein the method comprises an updating stage and a deleting stage;
in the updating stage, the network rules of the internal nodes except the flow inlet node are updated firstly, then the network rules of the flow inlet node are updated, and the original network rules are reserved in the operation of the updating stage;
the network rules comprise Overlay service network rules such as static routing rules, policy routing rules, native forwarding rules, GRE network rules and the like;
in the deleting stage, within the waiting threshold time, judging that no original flow exists at the flow inlet and the flow outlet, and deleting the original network rules of all the nodes.
Further, the network cooperative management service method further comprises a network anomaly detection and recovery method, wherein the method comprises a detection method based on a heartbeat keep-alive mechanism and a disconnection reconnection mechanism of control channel long connection, and a network anomaly recovery method for feeding back a detection result;
preferably, the network anomaly detection method includes: when the controller node is not started to be on line after the number of times exceeds a threshold value zeta, the node is considered to be failed and cannot be automatically recovered;
the network abnormity comprises single point fault of an edge controller, all fault of the edge controller, fault of a central controller, partial fault of the central/edge controller and all fault of the controller.
Preferably, the network anomaly recovery method includes the following steps:
x, the central controller adopts a master-slave backup mode to ensure that the master node is directly switched to the slave node after the master node fails, and the edge controller node actively establishes a control channel with the central controller slave node;
y. when the edge controller node fails, the IIoT gateway preferentially selects other adjacent edge controller nodes to establish a control channel;
z. if all edge controller nodes fail, the IIoT gateway actively establishes a control channel with the central controller node.
Compared with the prior art, the invention has the beneficial effects that:
the network control model for industrial intelligent manufacturing can realize unified management and centralized control of equipment, application and systems related to the aspects of business, order, fund, production, logistics, service and the like of the industrial intelligent manufacturing, solves the problems of rapid topology discovery, consistent state update and abnormal automatic recovery from an industrial network level, ensures the safety and reliability of data synchronization, data sharing and data backup of an industrial data level, and solves the requirements of personalized customization, networked cooperation and intelligent production of the industrial manufacturing.
Drawings
Fig. 1 is a schematic diagram of an edge computing-based SDN network cooperative control model according to the present invention;
FIG. 2 is a schematic diagram illustrating a basic principle of a distributed network topology discovery method according to the present invention;
FIG. 3 is a schematic diagram illustrating a basic principle of a network status consistency updating method according to the present invention;
FIG. 4 is a schematic diagram illustrating a basic principle of the network abnormal situation and recovery method according to the present invention;
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that, unless explicitly stated or limited otherwise, the terms "mounted," "disposed/provided," "connected," and the like are to be construed broadly, such as "connected," which may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Referring to fig. 1 to 4, the present invention provides a technical solution: a controller device for network coordination comprises a central controller and an edge controller, and is used for supporting distributed network topology discovery, network state consistency updating and network anomaly detection and recovery.
An SDN network cooperation model based on edge calculation comprises a data acquisition layer, a network fusion layer, an edge control layer and a central control layer which are sequentially connected.
The data acquisition layer: the system comprises data acquisition equipment, application and a system, wherein the data acquisition equipment comprises Internet of things sensing equipment, Internet communication equipment, service network terminal equipment and the application and the system facing specific services such as data acquisition, fusion, statistics, calculation, analysis, mining and the like;
the data acquisition equipment, application and system relate to the whole process of business management, order management, fund management, production management, logistics management, service management and the like of industrial manufacturing.
The network fusion layer: the system consists of an IIoT gateway and data fusion and network fusion services, an OpenFlow agent and an Overlay service provided by the IIoT gateway;
overlay service: the network transmission tunnel is controlled and started by the OpenFlow agent, and a safe and reliable network transmission tunnel defined according to requirements is provided.
The data fusion service is used for supporting various data aggregation of the data acquisition layer, the Overlay service can be used for providing a network transmission tunnel, and an OpenFlow control channel for receiving a control instruction, executing a script and a network rule is established between the OpenFlow agent and the edge controller.
The edge control layer: the system comprises an OpenFlow edge controller and topology management service;
an OpenFlow control channel for receiving and issuing control instructions is established between the OpenFlow edge controller and the central controller, and an OpenFlow control channel for executing scripts and network rules is established between the edge controller and the IIoT gateway;
the edge controller is placed at a physical edge location adjacent to the IIoT gateway, and the IIoT gateway is managed and controlled with lower delay and high efficiency.
The central control layer: the topology management system is composed of an OpenFLow controller for managing an OpenFLow edge controller and a topology management service based on a Quagga software router.
An industrial internet topology management service method is based on a Quaga software router and used for managing and maintaining distributed network nodes, and executing network topology discovery, network state updating, network anomaly detection and recovery;
distributed network node: the system comprises a central controller node and an edge controller node;
network exception and repair: for handling IIoT gateway exception conditions caused by controller node failure.
The network cooperative management service method comprises a distributed network topology discovery method, wherein the method divides the overall topology into an edge computing network topology and an interconnection network topology;
the controller for supporting the topology discovery of the distributed network consists of OPC/OPEC, a Quagga software router, OSPF protocol and BGP protocol services provided by the Quagga software router, and a directed acyclic graph/DAG subgraph storage structure.
The edge computing network topology is composed of a central controller and a lower layer edge controller, the central controller and the lower layer edge controller form a two-layer network communicated based on an OpenFlow protocol, the layer topology adopts a method based on an OSPF protocol to carry out topology discovery and management, and a global topology DAG is generated according to a local topology DAG subgraph uploaded by the edge controller;
the interconnection and interworking network topology relates to an edge controller, an IIoT gateway and heterogeneous network equipment below the gateway;
the interconnection and intercommunication network topology is composed of an IIoT gateway at a lower layer discovered by an edge controller, topology discovery and management are carried out on the layer by adopting a method based on a BGP protocol, DAG subgraphs of the layer network topology are locally calculated, and finally the DAG subgraphs of the local topology are uploaded to a central controller through a control channel.
The network cooperative management service method also comprises a network state consistency updating method, wherein the method comprises an updating stage and a deleting stage;
in the updating stage, the network rules of the internal nodes except the flow inlet node are updated firstly, then the network rules of the flow inlet node are updated, and the original network rules are reserved in the operation of the updating stage;
the network rules comprise Overlay service network rules such as static routing rules, policy routing rules, native forwarding rules, GRE network rules and the like;
in the deleting stage, within the waiting threshold time C, it is judged that no original flow exists at the inlet and the outlet of the flow, and the original network rules of all the nodes are deleted.
Specifically, as shown in fig. 3, the network topology includes A, B, C, D, E five IIoT gateway nodes interconnected based on an Overlay network, where a and E are an inlet and an outlet of traffic, respectively, and when an original path of the traffic is a → C → E, and a target update path is a → B → D → E, the update method includes the following steps:
a. the edge controllers issue new network rules to the internal network nodes B, C, D, E, respectively;
after receiving the new network rule, the iiot gateway B, C, D, E adds the new rule locally, retains the original rule, and returns a message of successful addition of the new rule to the edge controller;
c. when the edge controller receives B, C, D, E all the new rule addition success messages, the edge controller issues the new rule to the flow inlet IIoT gateway A;
after receiving the new network rule, the IIoT gateway A adds the new rule locally, retains the original rule and transmits a message of successful addition of the new rule back to the edge controller;
e. when neither the flow inlet nor the flow outlet IIoT gateway A, E receives the original flow of the IIoT gateway C within the threshold time tau, an original rule notification is sent to the edge controller;
f. the edge controller issues an original network rule deleting instruction to the IIoT gateway C;
the IIoT gateway C deletes the original network rule and transmits a message of successful deletion of the original rule back to the edge controller;
h. and after receiving the message of successful deletion of the original network rule of the IIoT gateway C, the edge controller completes the consistency update of the network state.
The network cooperative management service method also comprises a network anomaly detection and recovery method, wherein the method comprises a heartbeat keep-alive mechanism and a disconnection reconnection mechanism detection method based on control channel long connection, and a network anomaly recovery method for feeding back a detection result;
the network anomaly detection method comprises the following steps: when the controller node is not started to be on line after the number of times exceeds a threshold value zeta, the node is considered to be failed and cannot be automatically recovered;
the network abnormity comprises single point fault of an edge controller, all fault of the edge controller, fault of a central controller, partial fault of the central/edge controller and all fault of the controller.
The network anomaly recovery method comprises the following steps:
x, the central controller adopts a master-slave backup mode to ensure that the master node is directly switched to the slave node after the master node fails, and the edge controller node actively establishes a control channel with the central controller slave node;
y. when the edge controller node fails, the IIoT gateway preferentially selects other adjacent edge controller nodes to establish a control channel;
z. if all edge controller nodes fail, the IIoT gateway actively establishes a control channel with the central controller node.
The application range of the invention comprises: the network cooperation and guarantee of comprehensive management in various aspects such as business, order, fund, production, logistics, service and the like in the industrial intelligent manufacturing industry is also suitable for network interconnection layer cooperation, communication transmission layer guarantee and data synchronization layer reliability in the Internet +' industries such as intelligent government affairs, intelligent cities, intelligent agriculture, intelligent medical treatment and the like.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (9)
1. An SDN network cooperation model based on edge computing is characterized in that: the system comprises a data acquisition layer, a network fusion layer, an edge control layer and a central control layer which are connected in sequence;
the data acquisition layer: the system comprises data acquisition equipment, application and a system, wherein the data acquisition equipment comprises Internet of things sensing equipment, Internet communication equipment, service network terminal equipment, and the application and the system for data acquisition, fusion, statistics, calculation, analysis and specific service mining;
the network fusion layer: the system comprises an IIoT gateway, data fusion and network fusion services provided by the IIoT gateway, an OpenFlow agent and an Overlay service controlled and started by the OpenFlow agent;
the data fusion service is used for supporting various data aggregation of the data acquisition layer, the Overlay service can be used for providing a network transmission tunnel, and an OpenFlow control channel for receiving a control instruction, executing a script and a network rule is established between the OpenFlow agent and the edge controller;
the edge control layer: the system comprises an OpenFlow edge controller and topology management service;
an OpenFlow control channel for receiving and issuing control instructions is established between the OpenFlow edge controller and the central controller, and an OpenFlow control channel for executing scripts and network rules is established between the edge controller and the IIoT gateway;
the edge controller is placed at a physical edge position adjacent to the IIoT gateway;
the central control layer: the topology management system is composed of an OpenFLow controller for managing an OpenFLow edge controller and a topology management service based on a Quagga software router.
2. An industrial internet topology management service method is characterized in that: employing the edge-computing-based SDN network collaboration model of claim 1;
the method is based on a Quagga software router and is used for managing and maintaining distributed network nodes, and executing network topology discovery, network state updating, network anomaly detection and recovery;
distributed network node: the system comprises a central controller node and an edge controller node;
network exception and repair: for handling IIoT gateway exception conditions caused by controller node failure.
3. The industrial internet topology management service method according to claim 2, characterized in that: the method comprises the steps that the distributed network topology discovery method divides the overall topology into an edge computing network topology and an interconnection network topology;
the controller for supporting the topology discovery of the distributed network consists of OPC/OPEC, a Quagga software router, OSPF protocol and BGP protocol services provided by the Quagga software router, and a directed acyclic graph/DAG subgraph storage structure.
4. The industrial internet topology management service method according to claim 3, characterized in that:
the edge computing network topology is composed of a central controller and a lower layer edge controller, the central controller and the lower layer edge controller form a two-layer network communicated based on an OpenFlow protocol, the layer topology adopts a method based on an OSPF protocol to carry out topology discovery and management, and a global topology DAG is generated according to a local topology DAG subgraph uploaded by the edge controller;
the interconnection and interworking network topology relates to an edge controller, an IIoT gateway and heterogeneous network equipment below the gateway;
the interconnection and intercommunication network topology is composed of an IIoT gateway at a lower layer discovered by an edge controller, topology discovery and management are carried out on the layer by adopting a method based on a BGP protocol, DAG subgraphs of the layer network topology are locally calculated, and finally the DAG subgraphs of the local topology are uploaded to a central controller through a control channel.
5. The industrial internet topology management service method according to claim 2, characterized in that: the method comprises an updating stage and a deleting stage;
in the updating stage, the network rules of the internal nodes except the flow inlet node are updated firstly, then the network rules of the flow inlet node are updated, and the original network rules are reserved in the operation of the updating stage;
the network rules comprise static routing rules, policy routing rules, native forwarding rules and Overlay service network rules of GRE network rules;
in the deleting stage, within the waiting threshold time, judging that no original flow exists at the flow inlet and the flow outlet, and deleting the original network rules of all the nodes.
6. The industrial internet topology management service method according to claim 2, characterized in that: the method comprises a detection method based on a heartbeat keep-alive mechanism and a disconnection reconnection mechanism of control channel long connection, and a network abnormity recovery method for feeding back the detection result.
7. The industrial internet topology management service method according to claim 6, characterized in that:
the network anomaly detection method comprises the following steps: when the controller node is not started to be on line after the number of times exceeds a threshold value zeta, the node is considered to be failed and cannot be automatically recovered;
the network abnormity comprises single point fault of an edge controller, all fault of the edge controller, fault of a central controller, partial fault of the central/edge controller and all fault of the controller.
8. The industrial internet topology management service method according to claim 6, characterized in that:
the network anomaly recovery method comprises the following steps:
x, the central controller adopts a master-slave backup mode to ensure that the master node is directly switched to the slave node after the master node fails, and the edge controller node actively establishes a control channel with the central controller slave node;
y. when the edge controller node fails, the IIoT gateway preferentially selects other adjacent edge controller nodes to establish a control channel;
z. if all edge controller nodes fail, the IIoT gateway actively establishes a control channel with the central controller node.
9. A controller apparatus for network coordination, comprising a central controller and an edge controller, characterized in that: employing the edge-computing-based SDN network collaboration model of claim 1;
the device is used for supporting distributed network topology discovery, network state consistency updating and network anomaly detection and recovery.
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| CN111148136B (en) * | 2019-12-30 | 2023-05-23 | 深圳蓝奥声科技有限公司 | Wireless Internet of things edge collaborative sensing method, device and system |
| CN111277501B (en) * | 2020-01-19 | 2021-09-14 | 联想(北京)有限公司 | Method, equipment and system for controlling downlink data network selection |
| CN111741066B (en) * | 2020-05-19 | 2022-03-15 | 中国电子科技网络信息安全有限公司 | Edge cloud-based service flow cooperative agent and access control method |
| CN112187519A (en) * | 2020-09-09 | 2021-01-05 | 中盈优创资讯科技有限公司 | Multi-activity concurrency method and device for realizing policy control based on BGP (Border gateway protocol) |
| US11611474B2 (en) * | 2020-12-28 | 2023-03-21 | Juniper Networks, Inc. | Edge controller with network performance parameter support |
| WO2022160141A1 (en) * | 2021-01-27 | 2022-08-04 | Siemens Aktiengesellschaft | Industrial network-based codeless tracking analytics method and apparatus for industrial software |
| CN112929245A (en) * | 2021-01-27 | 2021-06-08 | 浪潮软件科技有限公司 | Method for managing smart home edge computing platform based on cloud edge cooperation technology |
| CN113364833A (en) * | 2021-05-20 | 2021-09-07 | 杭州快越科技有限公司 | Method, device and system for realizing software defined internet of things |
| CN114363356B (en) * | 2021-12-17 | 2024-04-26 | 上海浦东发展银行股份有限公司 | Data synchronization method, system, device, computer equipment and storage medium |
| CN114500554B (en) * | 2022-02-09 | 2024-04-26 | 南京戎光软件科技有限公司 | Internet of things system management method |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101068186A (en) * | 2007-06-05 | 2007-11-07 | 华为技术有限公司 | Customer end node network topological structure method and stream media distributing system |
| CN101729909A (en) * | 2008-10-23 | 2010-06-09 | 华为技术有限公司 | Streaming media business processing method, device and system |
| CN109104464A (en) * | 2018-07-23 | 2018-12-28 | 东南大学 | A kind of distributed data update method towards collaboration storage under edge calculations environment |
-
2019
- 2019-03-21 CN CN201910216881.3A patent/CN109981769B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101068186A (en) * | 2007-06-05 | 2007-11-07 | 华为技术有限公司 | Customer end node network topological structure method and stream media distributing system |
| CN101729909A (en) * | 2008-10-23 | 2010-06-09 | 华为技术有限公司 | Streaming media business processing method, device and system |
| CN109104464A (en) * | 2018-07-23 | 2018-12-28 | 东南大学 | A kind of distributed data update method towards collaboration storage under edge calculations environment |
Non-Patent Citations (1)
| Title |
|---|
| SDN故障监测和恢复技术的研究与实现;卞宇翔;《中国优秀硕士论文全文数据库信息科技辑》;20180228;第2-3章 * |
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