CN112073461A - Industrial Internet system based on cloud edge cooperation - Google Patents
Industrial Internet system based on cloud edge cooperation Download PDFInfo
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- CN112073461A CN112073461A CN202010778632.6A CN202010778632A CN112073461A CN 112073461 A CN112073461 A CN 112073461A CN 202010778632 A CN202010778632 A CN 202010778632A CN 112073461 A CN112073461 A CN 112073461A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention discloses an industrial internet system based on cloud edge cooperation, which comprises industrial terminal equipment, an edge gateway and an industrial edge cloud which are sequentially connected by utilizing an intranet or private network environment, wherein the industrial edge cloud is connected with an extranet cloud resource and used for storing, processing and modeling data processed by the edge gateway, and equipment such as a production line, a pipeline, a PLC, a robot, a numerical control machine and the like of an industrial field can be connected to form an organic whole so as to adapt to the requirements of low delay, high reliability and diversification of field application and cooperate with the industrial edge cloud to jointly carry out intelligent data processing, wherein the edge gateway uniformly collects production data of an enterprise, supports the edge side to carry out data preprocessing, pushes the data up to the industrial edge cloud to carry out storage, processing and further analysis, and realizes resources through an edge cloud network topological relation, Cloud-edge collaboration of data, intelligence, and business.
Description
Technical Field
The invention belongs to the technical field of cloud computing, and particularly relates to an industrial Internet system based on cloud edge collaboration.
Background
The industrial internet of things is a new stage which continuously integrates various acquisition and control sensors or controllers with sensing and monitoring capabilities, mobile communication, intelligent analysis and other technologies into each link of an industrial production process, so that the manufacturing efficiency is greatly improved, the product quality is improved, the product cost and the resource consumption are reduced, and the traditional industry is finally promoted to be intelligent. The edge calculation is an open platform which provides intelligent service nearby at the edge side of a network close to an object or a data source, integrates core capabilities of the network, calculation, storage and application, and meets the key requirements of digitization and intellectualization of the industry. In an industrial internet scene, the edge device can only process local data and cannot form global cognition, and information fusion still needs to be realized by means of a cloud computing platform in practical application. Therefore, cloud-edge collaboration is gradually becoming an important support for the development of the industrial internet.
The existing edge computing technology is mainly promoted by an operator end, and mainly aims to solve the problem that a traditional data center is difficult to match flexible OTT services, an edge data center needs to be built at a position close to a user, but how edge computing is integrated with complex manufacturing application in an industrial scene does not form a unified understanding. The industrial field generally has actual difficulties such as multiple heterogeneous devices, complex protocols, numerous interfaces, difficult networking and the like, and various problems of manufacturing enterprises cannot be completely solved by simple cloud computing or edge computing.
Disclosure of Invention
Aiming at least one defect or improvement requirement in the prior art, the invention provides an industrial internet system based on cloud edge cooperation, aiming at providing a general industrial internet platform overall architecture which can realize end-to-end industrial internet service integration.
To achieve the above object, according to one aspect of the present invention, there is provided an industrial internet system based on cloud-edge collaboration, the system including an industrial terminal device, an edge gateway, and an industrial edge cloud, the industrial edge cloud and the industrial edge cloud being connected in sequence by using an intranet or a private network environment, the industrial edge cloud being connected to an extranet cloud resource, the industrial edge cloud being configured to store, process, and model and analyze data processed by the edge gateway, wherein,
the edge gateway comprises a north module, a system layer module and a south module, wherein the north module is connected with the industrial edge cloud, the south module is connected with the industrial terminal equipment, and the north module is used for sending the real-time processing data of the system layer module to the industrial edge cloud and forwarding the issuing instruction of the industrial edge cloud to the system layer module;
the system layer module is used for establishing a resource environment of streaming data, buffering and decoupling the acquired original data, performing real-time processing calculation on the decoupled data, storing the calculated data and sending the calculated data to the northbound module; the system is also used for converting an issuing instruction of the industrial edge cloud into an instruction which can be identified by the industrial terminal equipment and sending the instruction to the southward module;
the southward module is used for acquiring industrial data of the industrial terminal equipment according to the corresponding industrial protocol and forwarding the instruction which can be identified by the industrial terminal equipment to the industrial terminal equipment. The system can realize equipment management and control, resource scheduling, data modeling, intelligent analysis application and cloud-edge cooperation.
As a further improvement of the present invention, the northbound module is also used to implement preprocessing of industrial real-time streaming data, field-side application and service registration, which exchanges data with the industrial edge cloud through standard RESTful API specifications.
As a further improvement of the invention, the system layer module comprises an embedded operating system, a Kubernets service and an open source edge computing core component, and is used for realizing the functions of micro-service configuration, a persistent repository and device service pairing.
As a further improvement of the invention, the southbound module comprises a hardware architecture of the edge gateway and an intelligent board card, and data acquisition and instruction issuing are carried out on the industrial terminal equipment through the edge communication technology.
As a further improvement of the invention, the industrial edge gateway adopts a 'Kafka + Spark + Redis' system framework to realize the processing of streaming data, the buffering and the decoupling of the data are realized by utilizing Kafka, the real-time processing calculation is carried out by utilizing Spark, and the processed data is stored by utilizing Redis.
As a further improvement of the invention, the industrial terminal equipment comprises one or more of a production line, a pipeline, a PLC, a robot and numerical control machine equipment.
As a further improvement of the invention, the industrial edge cloud comprises a basic service layer, a platform service layer and an application service layer, wherein the basic service layer is used for realizing the unified resource arrangement management, the heterogeneous resource management, the edge device management and the system deployment operation and maintenance, the platform service layer is used for providing one or more of a deep learning network model, a DevOPS for agile development and operation and maintenance, a micro-service architecture for containerization deployment and a general industrial mechanism model, and the application service layer comprises one or more industrial APPs.
As a further improvement of the present invention, the base service layer is used to implement resource coordination with the southbound module and the field devices, including coordination of computing, storage, networking and virtualization infrastructure resources required by the edge nodes, and lifecycle management coordination of the edge node devices themselves.
As a further improvement of the invention, the platform service layer is used for realizing data cooperation with the system layer module, the data cooperation comprises that the edge node is mainly responsible for data acquisition, the data is primarily processed and analyzed according to rules or a data model, and the processed data is uploaded to the cloud; the industrial edge cloud continuously receives data of the edge nodes, and large data statistical analysis and continuous training and optimization of a supply chain and an order distribution model are carried out on the basis of massive running state data.
As a further improvement of the invention, the platform service layer is used for realizing intelligent cooperation with the system layer module, the intelligent cooperation comprises the steps of cutting and segmenting an AI model, placing complex calculation and training tasks on an industrial edge cloud for operation, and placing an algorithm and inference with small calculation amount on a site edge node for operation.
In general, compared with the prior art, the above technical solution contemplated by the present invention can achieve the following beneficial effects:
the invention provides an industrial internet system based on cloud-edge cooperation, which combs and integrates complex technologies such as cloud calculation, edge calculation, cloud-edge cooperation, internet of things and the like, combines the actual situation of an industrial field, provides a four-layer overall architecture and a cooperation mode of 'central cloud-edge gateway-edge terminal', and provides a technical system of north, south and system layers of an edge gateway so as to realize end-to-end industrial internet service integration, clears the mutual relation among the industrial edge cloud, the edge gateway and terminal equipment from the overall architecture, defines the cooperation capability of a core module and the cloud-edge of each part, establishes a complete industrial internet platform architecture system, defines the function module and the main function of each layer of the platform, and can clearly, simply and conveniently develop and build industrial internet platforms of various industries according to the architecture, the method has better architecture referential performance.
Drawings
Fig. 1 is a schematic structural diagram of an industrial internet system based on cloud edge collaboration according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an edge gateway provided in an embodiment of the present invention;
fig. 3 is a schematic diagram of cloud edge collaboration provided by the embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
Kafka, a high-throughput distributed publish-subscribe messaging system that can handle all the action flow data of a consumer in a web site.
Spark, compute engine, an open source clustered computing environment.
Redis (remote Dictionary Server), a remote Dictionary service, is an open source log-type and Key-Value database written in ANSI C language, supporting network, based on memory and persistent, and provides API of multiple languages.
MES, production information management system facing the workshop execution layer of manufacturing enterprises.
ERP, enterprise resource planning.
DevOps (a combination of Development and Operations) is a collective term for a set of processes, methods and systems used to facilitate communication, collaboration and integration between Development (application/software engineering), technical Operations and Quality Assurance (QA) departments.
The industrial Internet system based on cloud-edge cooperation provided by the invention adopts a four-layer overall architecture and a cooperation mode of a central cloud, an edge gateway and an edge terminal to realize end-to-end industrial Internet service integration.
The structure and operation of the industrial internet system according to the present invention will be described in detail with reference to the following embodiments and accompanying drawings.
Fig. 1 is a schematic structural diagram of an industrial internet system based on cloud edge collaboration according to an embodiment of the present invention. As shown in fig. 1, the system includes an industrial terminal device, an edge gateway, and an industrial edge cloud, which are sequentially connected by using an intranet or private network environment, the industrial edge cloud is connected with an extranet cloud resource, the extranet cloud resource such as a central cloud, a public cloud, and other clouds are in the extranet environment, and are mainly responsible for providing external industry data and public resources, which are important supplements for the edge cloud; while the industrial edge cloud, edge gateway and edge terminal are in an intranet/private network environment. The industrial edge cloud is used for storing, processing and modeling the data processed by the edge gateway so as to realize equipment management and control, resource scheduling, data modeling, intelligent analysis application and cloud edge cooperation, wherein the total data flow direction is as follows: the edge gateway collects production data of an enterprise in a unified mode, supports data preprocessing at the edge side, pushes the data up to an industrial edge cloud for storage, processing and further modeling analysis, achieves cloud-edge cooperation of resources, data, intelligence and services through edge cloud network topological relation, and provides information support for production and operation management of the enterprise by matching with professional industrial software.
Fig. 2 is a schematic structural diagram of an edge gateway provided in an embodiment of the present invention. As shown in fig. 2, the edge gateway includes a north module, a system layer module and a south module, the north module is connected to the industrial edge cloud, the south module is connected to the industrial terminal device, and the industrial edge gateway can connect the production line, the pipeline, the PLC, the robot, the numerical control machine tool and other devices on the industrial site, so that the industrial edge gateway becomes an organic whole to meet the requirements of low delay, high reliability and diversification of the field application, and cooperate with the industrial edge cloud to perform intelligent data processing together.
The northbound module is used for sending the real-time processing data of the system layer module to the industrial edge cloud and forwarding an issuing instruction of the industrial edge cloud to the system layer module; specifically, the northbound module is used for realizing preprocessing of industrial real-time streaming data, field side application, service registration and connection and interaction with an industrial edge cloud, centralized operation and control can be performed on an edge gateway through the northbound interface industrial edge cloud, remote update of a system and an application program is realized, and software SDK of legacy equipment or proprietary equipment is supported. The northbound interface is a channel for data intercommunication between the edge cloud and the edge gateway, and mainly exchanges data with the industrial edge cloud through standard RESTful API specification;
the system layer module is used for establishing a resource environment of streaming data, buffering and decoupling the acquired original data, performing real-time processing calculation on the decoupled data, storing the calculated data and sending the calculated data to the northbound module; the system is also used for converting an issuing instruction of the industrial edge cloud into an instruction which can be identified by the industrial terminal equipment and sending the instruction to the southward module; preferably, the system layer module comprises an embedded operating system, a kubernets service and an open source edge computing core component, and is used for realizing the functions of micro-service configuration, a persistent repository and equipment service pairing;
the southward module is used for acquiring industrial data of the industrial terminal equipment according to the corresponding industrial protocol and forwarding the instruction which can be identified by the industrial terminal equipment to the industrial terminal equipment; therefore, the industrial edge cloud can master the running state of the field device at any time through the southbound interface, can realize the transmission from the sensor to the edge cloud through the OPC UA over TSN, get through the channels of the field device and the edge gateway, adapt to the edge terminal of a heterogeneous manufacturer, and construct a brand-new OICT fusion ecosystem; preferably, the southbound module comprises a hardware architecture of an edge gateway and an intelligent board card, data acquisition and instruction issuing are carried out on field equipment and a terminal through an edge communication technology, the edge communication refers to communication between an edge node (including the edge gateway, a sensor and the field equipment) and an industrial edge cloud in an industrial field, and from the communication mode, the communication can be divided into wired communication and wireless communication, wherein the wired communication comprises an Ethernet technology (IEEE 802.3), a serial port technology (RS232/422/485), Modbus and the like; the wireless communication can be divided into short-range communication (Bluetooth, WiFi, ZigBee, Z-wave, NFC, etc.) and long-range communication (GPRS, 4G/5G, LoRa, NB-IoT, etc.).
As an example, the industrial edge gateway processes streaming data and adopts a 'Kafka + Spark + Redis' framework, a system layer module provides a resource environment required by the framework, a southbound interface stores acquired raw data into a raw data cache queue, Kafka is responsible for buffering and decoupling of the data, real-time processing calculation is performed through Spark, Redis is responsible for storing the processed data, and then the processed data is sent to the industrial edge cloud through a northbound interface for further processing and use by systems such as MES and ERP of the industrial edge cloud.
Optionally, the industrial terminal device comprises one or more of a production line, a pipeline, a PLC, a robot and a numerical control machine tool device, the industrial edge gateway can connect the production line, the pipeline, the PLC, the robot, the numerical control machine tool and other devices on the industrial site to form an organic whole, so that the intelligent terminal device is suitable for the requirements of low delay, high reliability and diversification of field application, and is matched with an industrial edge cloud to carry out intelligent data processing together.
Optionally, the industrial edge cloud includes a base service layer (EC-IaaS), a platform service layer (EC-PaaS), and an application service layer (EC-SaaS), where the base service layer is configured to implement resource uniform orchestration management, heterogeneous resource management, edge device management, and system deployment and maintenance, and the platform service layer is configured to provide one or more of a deep learning network model, a DevOPS for agile development and operation and maintenance, a micro-service architecture for containerization deployment, and a general industrial mechanism model, and includes one or more of a device asset management module, a database service module, a data analysis module, and a visualization tool, and is further configured to provide an api interface specification; the application service layer comprises one or more industrial APPs, the types of the industrial APPs comprise one or more of a production process execution management system (MES), a Statistical Process Control (SPC) and an Enterprise Resource Planning (ERP) which are closely related to industrial manufacturing, can provide industrial energization for a production line, and provides a rich visual interface.
Fig. 3 is a schematic diagram of cloud edge collaboration provided by the embodiment of the present invention. As shown in fig. 3, optionally, the base service layer is used to implement resource coordination with the southbound module and the field devices; the resource cooperation specifically includes cooperation of computing, storage, network and virtualization infrastructure resources required by the edge node, and life cycle management cooperation of the edge node device itself. Under the condition that the edge gateway resources are insufficient, the resources of the edge cloud can be called as supplement, the load balance of the edge side network is adjusted according to the field condition, and the requirement of the edge side application on the resources is met.
The platform service layer is used for realizing data cooperation, intelligent cooperation and business management cooperation with the system layer module, wherein the data cooperation comprises that an edge node is mainly responsible for data acquisition, data is primarily processed and analyzed according to rules or a data model, and processed data, particularly abnormal (such as alarm and fault) data, is uploaded to a cloud; the method comprises the steps that an edge cloud continuously receives data of edge nodes, and continuous training and optimization of models such as big data statistical analysis, supply chain and order distribution are conducted on the basis of massive running state data; the intelligent cooperation comprises the steps of cutting and dividing an AI model, placing a complex calculation and training task on an industrial edge cloud for operation, placing an algorithm and inference with small calculation amount on a site edge node for operation, and effectively reducing the inference time delay of a deep learning model through the cooperative training of an edge gateway and a cloud platform so as to better perform model inference on the edge side; the service management cooperation comprises the unified editing capability and the value added service of the service provided by the industrial edge cloud, and the edge gateway provides a service operation environment and an application example.
It will be understood by those skilled in the art that the foregoing is only a preferred embodiment of the present invention, and is not intended to limit the invention, and that any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. An industrial internet system based on cloud edge collaboration is characterized by comprising industrial terminal equipment, an edge gateway and an industrial edge cloud which are sequentially connected by using an intranet or private network environment, wherein the industrial edge cloud is connected with extranet cloud resources and is used for storing, processing and modeling data processed by the edge gateway, and the industrial edge cloud is used for storing, processing and modeling data processed by the edge gateway,
the edge gateway comprises a north module, a system layer module and a south module, the north module is connected with the industrial edge cloud, the south module is connected with the industrial terminal equipment, and the north module is used for sending real-time processing data of the system layer module to the industrial edge cloud and forwarding a sending instruction of the industrial edge cloud to the system layer module;
the system layer module is used for establishing a resource environment of streaming data, buffering and decoupling the acquired original data, performing real-time processing calculation on the decoupled data, storing the calculated data and sending the calculated data to the northbound module; the system is also used for converting an issuing instruction of the industrial edge cloud into an instruction which can be identified by the industrial terminal equipment and sending the instruction to the southward module;
the southbound module is used for acquiring industrial data of the industrial terminal equipment according to the corresponding industrial protocol and forwarding the instruction which can be identified by the industrial terminal equipment to the industrial terminal equipment.
2. The cloud-edge collaboration based industry internet system as claimed in claim 1 wherein said northbound module is further configured to implement preprocessing of industry real-time streaming data, field-side application and service registration, which exchanges data with industry edge cloud via standard restful api specification.
3. The cloud-edge collaboration based industrial internet system as claimed in claim 1, wherein the system layer modules comprise embedded operating systems, kubernets services and open source edge computing core components for implementing micro-service configuration, persistence repository and device service pairing functions.
4. The cloud-edge collaboration-based industrial internet system as claimed in claim 1, wherein the southbound module comprises a hardware architecture of an edge gateway and an intelligent board card, and the southbound module is used for performing data acquisition and instruction issuing on industrial terminal equipment through an edge communication technology.
5. The cloud-edge collaboration based industrial internet system as claimed in any one of claims 1 to 4, wherein the industrial edge gateway adopts a 'Kafka + Spark + Redis' system framework to realize processing of streaming data, buffering and decoupling of data are realized by using Kafka, real-time processing calculation is carried out by using Spark, and processed data are stored by using Redis.
6. The cloud-edge collaboration based industrial internet system as claimed in any one of claims 1 to 4, wherein the industrial terminal devices comprise one or more of production lines, pipelines, PLCs, robots and numerically controlled machine tool devices.
7. The cloud-edge collaboration based industrial internet system as claimed in any one of claims 1-4, wherein the industrial edge cloud comprises a base service layer, a platform service layer and an application service layer, wherein the base service layer is used for realizing one or more of resource unified orchestration management, heterogeneous resource management, edge device management and system deployment operation and maintenance, the platform service layer is used for providing one or more of a deep learning network model, DevOPS for agile development and operation and maintenance, micro-service architecture for containerization deployment and a general industrial mechanism model, and the application service layer comprises one or more industrial APPs.
8. The cloud-edge collaboration based industrial internet system as claimed in claim 7, wherein the basic service layer is used for realizing resource collaboration with the southbound module and the field devices, the resource collaboration comprises collaboration of computing, storage, network and virtualization infrastructure resources required by the edge nodes, and collaboration of life cycle management of the edge node devices themselves.
9. The industrial internet system based on cloud-edge collaboration as claimed in claim 7, wherein the platform service layer is configured to implement data collaboration with the system layer module, and the data collaboration includes that an edge node is mainly responsible for data acquisition, performs preliminary processing and analysis on data according to a rule or a data model, and uploads the processed data to a cloud; and the industrial edge cloud continuously receives data of the edge nodes, and carries out big data statistical analysis and continuous training and optimization of a supply chain and an order distribution model based on the operation state data.
10. The industrial internet system based on cloud-edge collaboration as claimed in claim 7, wherein the platform service layer is used for realizing intelligent collaboration with system layer modules, the intelligent collaboration includes cutting and splitting an AI model, complex computation and training tasks are put into an industrial edge cloud to run, and algorithms and reasoning with small computation amount are put into a field-edge node to run.
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