CN113115241B - Industrial Internet system based on industrial brain - Google Patents
Industrial Internet system based on industrial brain Download PDFInfo
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- CN113115241B CN113115241B CN202110370941.4A CN202110370941A CN113115241B CN 113115241 B CN113115241 B CN 113115241B CN 202110370941 A CN202110370941 A CN 202110370941A CN 113115241 B CN113115241 B CN 113115241B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/54—Interprogram communication
- G06F9/546—Message passing systems or structures, e.g. queues
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/54—Interprogram communication
- G06F9/547—Remote procedure calls [RPC]; Web services
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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
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2209/00—Indexing scheme relating to G06F9/00
- G06F2209/54—Indexing scheme relating to G06F9/54
- G06F2209/544—Remote
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2209/00—Indexing scheme relating to G06F9/00
- G06F2209/54—Indexing scheme relating to G06F9/54
- G06F2209/545—Gui
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2209/00—Indexing scheme relating to G06F9/00
- G06F2209/54—Indexing scheme relating to G06F9/54
- G06F2209/547—Messaging middleware
Abstract
The invention belongs to the technical field of internet, and particularly relates to an industrial internet system based on an industrial brain, wherein an industrial brain host can complete equipment docking, instruction issuing and data acquisition, has the capabilities of docking and fusing heterogeneous industrial software, and the capabilities of service scheduling, edge calculation, service processing, big data analysis and platform interconnection, can release API (application programming interface) outwards and write service application at will, supports a Handle identification analysis standard, solves the personalized problems of different industries and different enterprises in a modular and standardized mode through the industrial brain host based on an industrial data chain technology and a service rule chain technology, provides a personalized scheme for the enterprises by using a set of industrial internet system, has no clear limitation on the application industry and the applicable enterprises, can be built by only deploying one industrial brain host in a machine room and deploying one or more industrial data gateways in a production workshop, and has the popularization advantage of universality.
Description
The technical field is as follows:
the invention belongs to the technical field of internet, and particularly relates to an industrial brain-based industrial internet system which can assist the intelligent development of industrial production enterprises.
Background art:
the industrial internet system in the prior art has single function and low intelligent degree, for example: chinese patent 202010164522.0 discloses a handle identification coding system based on a block chain, which includes: the system comprises a handle service platform, a block chain network, an enterprise subsystem and a handle front terminal system; the enterprise subsystem includes: a handle prefix application module and a geth client module; the geth client module is respectively connected with the handle prefix application module, the block chain network and the handle front terminal system; the handle prefix application module is connected with a handle service platform; the handle front terminal system is connected with a handle service platform; the handle front terminal system is used for operating the handle system and completing the functions of identifier registration and information query; the handle prefix application module submits a prefix application file to a prefix administrator of the handle service platform, and the prefix administrator of the handle service platform creates a handle prefix in handle root service according to the application file; the geth client module performs information interaction with the block chain network through an RPC interface, deploys the written intelligent contract into the block chain network, and records a returned intelligent contract address; the input of the intelligent contract is information of equipment needing to be registered, the triggering condition of the intelligent contract is that the transaction is successfully packaged and written into a block chain, the output of the intelligent contract is a block number of the transaction place, a specific position number and a time stamp of the transaction information in a current block, and the output format is a form of [ block number ] - [ position number ] - [ time stamp ]; the handle front terminal system is used for completing the registration of the identifier, splicing the applied handle prefix and the output of the intelligent contract, calling a webservice identifier registration interface in the handle front terminal system, and inputting the content meeting the Internet of things identifier management public service information specification into the handle front terminal system to complete the identifier registration; the Chinese patent 201911406518.4 discloses an intelligent routing method facing Handle identification analysis, which comprises the following steps: step 1: judging whether an identification record requested by the user exists in a built-in cache of the Handle identification analysis system, if so, executing the step 2.1, and if not, executing the step 2.2; step 2.1: caching the direct query analysis request and returning; step 2.2: judging whether the timer is larger than a set threshold value, if not, executing the step 3, and if so, executing the step 4; and 3, step 3: the recursion node sequentially initiates a request to a node with the minimum response delay time in the national top level node GHR, the industry second level node and the enterprise node, and rewards or punishs the access; step 4, initializing Tc, ts and Te data again, then initiating requests to a national top level node GHR, an industry secondary node and an enterprise node in sequence by the recursion node, respectively recording the time delay Tc between the initiation of the requests to the national top level node GHR and the reception of responses, the time delay Ts between the initiation of the requests to the reception of responses to the industry secondary node LHS, and the time delay Te between the initiation of the requests to the reception of responses to the enterprise node; step 5, judging whether the query is finally analyzed successfully, if so, storing the analysis result into a cache and returning, otherwise, directly returning; the data processing method of a handle identification system based on a block chain, disclosed in the Chinese patent 202010294862.5, comprises the following steps: the method comprises the steps that a Handle service platform receives an equipment report information query request carrying a Handle identification code, and the equipment report information query request is positioned to an analysis server in a local service cluster according to a Handle identification prefix code; the handle identification code comprises a handle identification prefix code and a handle identification suffix code; the analysis server sends the equipment reporting information inquiry request to a corresponding discovery server; the discovery server searches an information server corresponding to the handle identification postfix code according to the handle identification postfix code; the information server acquires the reporting information written into the blockchain network by the equipment from the blockchain network according to the handle identification suffix code through the blockchain client; therefore, an industrial internet system based on an industrial brain is developed and designed to meet the high intelligent requirement of industrial production.
The invention content is as follows:
the invention aims to seek to design an industrial internet system based on an industrial brain so as to solve the following problems: (1) Information isolated island problem between heterogeneous software and hardware systems; (2) pushing enterprise operation problems by depending on subjective will of people; (3) the problem of uneven enterprise informatization construction level; (4) The traditional cloud computing solution cannot meet the problem of low-delay and high-concurrency computing requirements of a manufacturing scene; (5) high-precision industrial vision recognition problem; (6) difficult construction between industrial Internet platforms; the method realizes data interconnection and service intercommunication, drives the service flow, information flow and fund flow of the enterprise, operates autonomously, quickly, economically and effectively supplements each item of short board for the informatization construction of the enterprise, and is used as edge computing equipment to finish high-speed industrial visual identification and visual detection and quickly construct an industrial internet platform.
In order to achieve the purpose, the industrial internet system based on the industrial brain has a main structure of the industrial brain consisting of an industrial brain host and an industrial data gateway, wherein the industrial brain host is connected with the industrial data gateway through a network cable, an optical fiber or 4G/5G; a Handle identification analysis standard module, an industrial data chain module, a business rule chain module, an Internet of things middle platform subsystem module and an industrial cloud subsystem module are integrated on the industrial brain host; the Handle identification analysis standard module is electrically connected with the industrial data link module, and the industrial data link module is electrically connected with the business rule link module.
The industrial brain related by the invention is edge computing equipment with low time delay, large bandwidth, high concurrency, localization, self-organization, definable, schedulable, safety, standard opening and cloud edge end combination, an information safety mechanism is arranged in the edge computing equipment, and all data are encrypted for transmission, encrypted for storage, localized for utilization and real-time multiple backup; supporting cluster deployment, forming a distributed, low-delay, location-aware, mobile application and multi-edge node fog computing cluster, and automatically balancing computing capacity and storage space; the method has the capability of computing power balance, can push the computing power to the nearest distance of a scene, can realize computing power balance between edge computing and cloud computing, dynamically selects data storage and data processing positions (such as a cloud end or an edge end) according to actual service scenes and requirements, realizes double computing power balance, and enhances the capabilities of low time delay, high concurrency and high reliability.
The core algorithm of the industrial brain related by the invention comprises a BRCS business rule chain system, an IDLS industrial data chain system and an AVPS asynchronous vision processing system;
1. the BRCS (Business Rule Chain System) Business Rule Chain System is used for completing visual configuration and automatic scheduling of any Business process, so that the Business operation mode is converted into autonomous circulation and random adjustment based on the Business Rule Chain from the promotion by people and System;
1. visual configuration:
the visual editing interface provided by the business rule chain system comprises a series of business nodes with different functions and actions and a business rule chain editor supporting operation in a mouse or touch mode;
the specific service node comprises: service data existence screening node, service relation screening node, GPS coordinate screening node, data type screening node, data routing node, custom service logic node, custom data node, equipment node, data provider node, data consumer node, data relation node, data telemetering node, service conversion node, data assignment action node, start early warning action node, clear early warning action node, GPS coordinate change action node, delay action node, log node, RPC request action node, RPC response action node, message counting node, storage action node, synchronization action node, MQTT node, KAFKA node, mail sending node, and micro-mail sending node;
when configuring a business process, firstly abstracting industrial equipment and industrial software in actual production activities into data provider nodes or data consumer nodes on a business rule chain, adding the data provider nodes or the data consumer nodes to a canvas, then placing various functional nodes (such as data conversion, business assertion, message early warning and the like, even being capable of being customized by using an ECMA Script or creating brand new nodes from zero) on the canvas according to business requirements, and finally sequentially connecting each node on the canvas by using a curve based on a business flow sequence;
2. automatic scheduling:
after the business rule chain is established, the industrial brain can automatically command industrial software and industrial equipment on the rule chain to operate according to the configured business rule without manual intervention, and an execution engine of the industrial brain can immediately compile (JIT) the business rule and business data on the business rule chain into binary codes so as to facilitate the execution of hardware equipment with high performance, high reliability, low power consumption and low delay;
the rule chain editor can be used for adjusting the rule chain at any time, after adjustment is carried out each time, an execution engine of the industrial brain automatically compares the difference between the new rule chain and the old rule chain, recompilation and intelligent loading are carried out on the changed part, the whole rule chain does not need to be recompiled and loaded, and all the business in circulation is not influenced;
2. an IDLS (Industrial Data Link System) Industrial Data chain System realizes Data interconnection and service intercommunication of heterogeneous software and hardware systems through a high-abstraction Data interface mechanism, high-compatibility Data fusion capability and high-flexibility customization and expansion space; the industrial data chain takes an external interface on an industrial brain as a physical medium, takes the data chain as a link, connects each industrial device and each set of industrial software in series, takes the OpenNode universal interface standard as a standard, and enables the heterogeneous systems to be interconnected and intercommunicated without obstacles;
1. data chain system:
the data link system is an infrastructure of an industrial brain, has the functions of data communication, protocol conversion and data coding/decoding, and consists of a data link subsystem, a data conversion subsystem and a data security subsystem;
the data link subsystem is used for directly butting industrial equipment and industrial software, realizing the input and output of original data, supporting nearly 20 communication protocols of HTTP, TCP, MQTT, OPC-UA, RPC, sigfox and Modbus, and meeting the communication requirements of common industrial equipment and industrial software; the data conversion subsystem is used for completing instant conversion among all communication protocols; the data security subsystem is used for completing access authorization, identity verification and data encoding/decoding in the data communication process;
2. OpenNode universal interface standard:
the OpenNode universal interface standard is additionally provided with a data monitoring and active data pushing mechanism on the basis of complying with the Handle identification analysis international standard so as to meet the data transmission and service interaction among heterogeneous systems in different industrial internet application scenes;
the manager of each Handle node can register a listener to the Handle node in a mode of issuing an authorization Key (asymmetric encryption Key pair) and respectively set data monitoring permission; when data in the Handle node is changed (newly added, modified or deleted), a listener with monitoring authority can receive a data packet actively pushed by the OpenNode;
in addition, the listener can query data on the Handle node through OpenNode by using SQL syntax (only authorized data items can be queried);
the OpenNode provides an open plug-in system based on an adapter design mode for releasing the coupling of an OpenNode general interface system with a specific service system and a service flow and enhancing the self universality and expandability; when the heterogeneous systems need to be butted, only API development service plug-ins provided by OpenNode are needed; after the service plug-ins are installed on the industrial brain, the OpenNode establishes bidirectional data channels among the service plug-ins to automatically complete data interconnection and service intercommunication;
3. an AVPS (Asynchronous Vision Processing System) Asynchronous visual Processing System provides industrial field multi-path visual identification, visual detection and visual analysis capabilities; in a production field, different industrial cameras are simultaneously connected to an industrial brain, and an asynchronous visual processing system firstly calls a video processing chip built in the industrial brain to carry out real-time parallel video transcoding on each path of video stream; after the real-time transcoding of the video stream is completed, the asynchronous visual processing system carries out atomization splitting on built-in algorithms of visual identification and visual detection, dynamically distributes the built-in algorithms to 5000 stream processors in the built-in GPU of the industrial brain to complete distributed parallel computation, and the whole computation process does not occupy processor and memory resources.
The industrial brain host can provide directional support for industrial visual identification and visual detection, carries out high-definition transcoding on visual identification and visual detection images generated in the industrial production process, improves the transmission and identification speed while ensuring the image precision (8K), immediately feeds back identification and detection results, timely controls equipment to complete positioning and correction movement, carries out error repair, supports the Internet or a local area network, is used for data processing, and is formed by combining a high-performance industrial host, an industrial video processing chip, an optical fiber communication module, a first 5G communication module and a RAID disk array; the industrial video processing chip (NETINT codecity) is an H.265 coding/decoding chip, has ultra-low power consumption (only equivalent to 0.6% of the power consumption of the traditional CPU) and ultra-strong computing power, supports coding and transcoding of 4K @60fps or 1080p@240fps H.264/H.265, and supports 8K @60fps by a single chip; a 2D graphic engine is arranged in the device, and the device can flexibly accelerate zooming; the chip-level coding and decoding can be carried out on monitoring videos, visual inspection videos, conference videos, VR/AR videos, live videos and high-definition pictures, and the data compression rate is 90%; under the concurrent load of 4K @60fps or 1080p @240fps, stable ultralow delay can be kept; compared with a CPU (central processing unit), the electric quantity can be saved by 90%; under the same code stream and density, the power consumption is 37 percent of that of the conventional FPGA (field programmable gate array), 2 percent of that of the GPU (graphic processing unit) and 0.6 percent of that of the CPU (central processing unit); the method comprises the steps of possessing a Deep Neural Network (DEP Network) engine, wherein a single chip supports 20TOP computational power and DNN (Deep Neural Network) algorithms and operations including object detection, classification and segmentation; the method supports AI (artificial intelligence) auxiliary video coding, and realizes the high-efficiency fusion of video coding and decoding and an AI accelerating engine; can carry out high definition (K @60fps or 1080p @ 240fps) transcoding to the visual identification of industrial production process and visual detection image, when guaranteeing image accuracy (8K image resolution), promote transmission and discernment speed, real-time feedback discernment and testing result, in time controlgear accomplishes movements such as location, correction, carries out the error and repairs.
The industrial data gateway is used for connecting industrial equipment and comprises a plurality of DTUs (data transmission units), a plurality of RTU (remote terminal unit) modules, an optical fiber communication module and a second 5G communication module, wherein the DTUs 201 and the RTU modules are data acquisition equipment and are respectively connected with production equipment.
The Handle identification analysis standard module is a global identification analysis standard, and can realize data interconnection, service intercommunication and process tracing among heterogeneous systems on the premise of access control and information safety, so that each industrial brain becomes an independent Handle identification analysis node.
The industrial data chain module supports a Handle identification analysis standard module and dozens of communication protocols including HTTP (hypertext transfer protocol), TCP (transmission control protocol), MQTT (message queue telemetry transmission), OPC-UA, RPC (remote procedure call), sigfox and Modbus (Modbus communication protocol), can complete the work of data transmission, data coding, data decoding, data encryption, data escape and data routing, realizes data interconnection and service intercommunication among heterogeneous systems, and conforms to the Handle identification analysis standard.
The business rule chain module related by the invention obtains data and scheduling business through the industrial data chain module, and completes the configuration and adjustment of business processes between heterogeneous systems through a non-programming and visualization technology, thereby realizing the intelligent scheduling and autonomous flow transfer of the business between the heterogeneous systems.
The subsystem module of the Internet of things middle platform is used for managing the Internet of things, and supports real-time monitoring and acquisition of production data of each production line, each device and each station; the configurable and customizable kanban assembly is provided, programming and visual dragging operation are not needed, and the kanban assembly takes effect immediately; self-defining early warning nodes, early warning events, early warning modes, handling plans, mail, short messages and WeChat instant early warning, large screen, PC (personal computer), tablet and mobile phone automatic adaptation are supported, multiple virtual private networks of IPsec VPN (IP non-security guarantee virtual private network), L2TP (second layer tunnel protocol), PPTP (point-to-point tunnel protocol) and open VPN (implementation mode of VPN technology) are established, SPI (serial peripheral interface) full-state detection, network firewall functions of Secure Shell (SSH Secure Shell protocol) and multi-level user permission are established; control instructions (such as starting up, stopping, task distribution or maintenance) can be automatically issued to industrial equipment and stations according to preset business logic and early warning events.
The industrial cloud subsystem module is used for business management, provides more than 500 customizable and extensible functional modules aiming at business scenes of marketing, management, purchasing, manufacturing, warehousing and logistics, relates to business applications of personnel, administration, office, sales, finance, customers, supply chains, product data, product life cycles, advanced planning and scheduling and manufacturing execution, covers the whole enterprise management process, and can integrate all the production and operation links of enterprises into a high-efficiency industrial internet intelligent ecological cycle in a building block mode.
The industrial internet system based on the industrial brain can be quickly built, and the specific process comprises the following steps:
1. deploying an industrial brain host in a machine room;
2. one or more industrial data gateways are deployed in a production workshop and are respectively connected with production equipment;
3. the industrial brain host is connected with the industrial data gateway through an Ethernet, an optical fiber communication module or a 5G communication module.
Compared with the prior art, the industrial brain host is a functional 'superset' of the gateway of the Internet of things, can complete equipment docking, instruction issuing and data acquisition, has the capabilities of docking and fusing heterogeneous industrial software (the gateway of the Internet of things can only dock limited industrial equipment), has the capabilities of service scheduling, edge calculation, service processing, big data analysis and platform interconnection, can release an API (application programming interface) to the outside in a comprehensive way, can write service application at will, supports a Handle identification analysis standard, and completely solves the industrial problem of 'information island' on the basis of an industrial data chain technology and a service rule chain technology; the principle is scientific and reliable, the method can be compatible with common industrial software, industrial equipment, other systems and platforms, the time consumption of digital transformation and upgrading is short, the method is suitable for various industries and enterprises of various scales, and the method is mainly used for helping the enterprises to complete digital transformation and upgrading quickly, economically and efficiently, and green development and high-quality development are realized.
Description of the drawings:
fig. 1 is a schematic diagram of the principle of the main structure of the present invention.
Fig. 2 is a schematic diagram of the principle of the main structure of the industrial brain host according to the present invention.
Fig. 3 is a schematic diagram of a main structure principle of an industrial data gateway according to the present invention.
FIG. 4 is a diagram of a business rule chain editor involved in step one of the present invention.
Fig. 5 is a schematic diagram of a service node involved in a step one of the present invention.
Fig. 6 is a schematic diagram of the operation of the business rules according to step one of the present invention.
FIG. 7 is a diagram illustrating adjustment of a business rule chain according to a first step of the present invention.
FIG. 8 is a diagram illustrating the structure of a data chain according to step two of the present invention.
FIG. 9 is a diagram illustrating data query according to step two of the present invention.
Fig. 10 is a schematic diagram of data interconnection and service interworking according to step two of the present invention.
Fig. 11 is a schematic diagram of the asynchronous vision processing system according to step three of the present invention providing industrial field multi-channel vision recognition, vision inspection and vision analysis capabilities.
Fig. 12 is a schematic diagram of a technical architecture of an industrial brain hardware system according to embodiment 1 of the present invention.
Fig. 13 is a schematic diagram of a technical architecture of an industrial brain software system according to embodiment 1 of the present invention.
The specific implementation mode is as follows:
the invention is further described below by way of an embodiment example in conjunction with the accompanying drawings.
Example 1:
the industrial internet system based on the industrial brain related to the embodiment is an industrial brain consisting of an industrial brain host 1 and an industrial data gateway 2, wherein the industrial brain host 1 is connected with the industrial data gateway 2 through a network cable, an optical fiber or 4G/5G; a Handle identification analysis standard module 11, an industrial data chain module 12, a business rule chain module 13, an internet of things middle platform subsystem module 14 and an industrial cloud subsystem module 15 are integrated on the industrial brain host 1; the Handle identification analysis standard module 11 is electrically connected with the industrial data link module 12, and the industrial data link module 12 is electrically connected with the business rule link module 13; the method helps users to quickly build an enterprise-level Internet of things system and an industrial Internet system; a plurality of sets of industrial brain hosts 1 are interconnected to form an industrial-grade industrial internet platform, wherein each industrial brain host 1 is formed by combining a high-performance industrial host 101, an industrial-grade video processing chip 102, an optical fiber communication module 103, a first 5G communication module 104 and a RAID disk array 105; the industrial data gateway 2 is used for connecting industrial equipment, and is composed of a plurality of DTUs (data transmission units) 201, a plurality of RTUs (remote terminal units) 202, an optical fiber communication module 203 and a second 5G communication module 204, wherein the DTUs 201 and the RTUs 202 are data acquisition equipment and are respectively connected with production equipment.
The industrial brain related to the embodiment is an internet of things device with DOA/Handle international identification analysis standard and national industrial internet identification analysis standard, is compatible with a third-party system or platform, is based on data routing and data access control protocol of the international standard, realizes service interconnection, data intercommunication and track tracing under the premise of safety control and whole-course traceability, constructs an industrial internet ecosystem, is used as a neural center of enterprise whole-life-cycle data management, is a Handle identification analysis, fog calculation, edge calculation, industrial internet, internet of things and AI large data processing device, is connected with field devices through a serial port, 5G, WIFI, ethernet, PLC, OPC, DTU, a frequency converter, an instrument and a data acquisition card, completes data acquisition monitoring, industrial field control, device remote control, remote operation and maintenance, safety early warning, fault warning, energy management and control, field video processing, visual detection and visual application functions by using a serial port, and configures a virtualization host, a high-speed storage and industrial neural-level video processing chip and a built-in-depth network (N) multithreading engine.
The industrial brain host 1 related to the embodiment adopts a rack type 8U machine body and a multi-air-inlet-channel multi-cycle heat dissipation system, supports multi-processor and RAID hot plug, and is internally provided with a 5G communication module and an optical fiber module; the industrial data gateway 2 has models including a rack type and a tower type, supports 16 DTU or RTU modules at most, supports hot plug, and is internally provided with a 5G communication module and an optical fiber module.
The bottom operating system of the industrial brain related to the embodiment is Linux; on the operating system is an 'Internet of things middling stage' system, which comprises:
(1) The IDLS (industrial data link) system supports the Handle identification analysis standard, and integrates a Handle service, a client, a class library, a tool library and an OpenNode universal interface system inside, so that a third-party system can be freely butted with other systems through standardized and open interfaces; the built-in industrial cloud system and the built-in Internet of things middle platform system are in butt joint with the OpenNode universal interface system, and the Handle identification analysis standard is comprehensively supported; the industrial data chain is connected and fused with various software and hardware systems based on the Handle standard, is butted with various production equipment, collects data and issues instructions, and has data protocol identification (nearly 20 types), a coding and decoding system, a data encryption and decryption system, a data escape system, a data transmission system and a data routing system;
(2) The OpenNode universal interface system is additionally provided with a data monitoring and active data pushing mechanism on the basis of comprehensively complying with the international standard of Handle identification analysis so as to meet the requirements of data transmission and service interaction among heterogeneous systems in different industrial Internet application scenes;
the manager of each Handle node can register a listener to the Handle node in a mode of issuing an authorized Key (asymmetric encryption Key pair), and set data monitoring authority respectively, and when data in the Handle node is changed (newly added, modified or deleted), the listener with the monitoring authority receives a data packet actively pushed by an OpenNode;
in addition, the listener can query data on the Handle node through the OpenNode by using SQL syntax (only authorized data items can be queried);
in order to relieve the coupling of an OpenNode universal interface system and a specific service system and a service flow and enhance the self universality and expandability, the OpenNode provides an open plug-in system based on an adapter design mode; when heterogeneous systems need to be butted, the service plug-ins are developed by using the API provided by the OpenNode, and after the service plug-ins are installed in an industrial brain, the OpenNode establishes a bidirectional data channel among the service plug-ins to automatically complete data interconnection and service intercommunication;
(3) A BRCS (business rule chain) system, which is a set of intelligent business driving engines, provides 6 types (screening, enhancing, converting, acting, external), more than 40 business nodes with different purposes (sending message, data filtering, condition judging, early warning, LBS, log), and a powerful visual business rule chain editor, drags the needed business nodes to canvas from a tool kit, then connects each node in sequence according to the actual business process, configures business processing rules, and can complete business configuration; then, the industrial brain autonomously drives each service to flow among various devices and various software according to the set service flow;
(4) The billboard system provides over 30 configurable and customizable billboard components, supports visual drag operation, takes effect immediately, self-defines early warning nodes, early warning events, early warning modes and disposal plans, supports instant early warning of mails, short messages and WeChat, and provides real-time display of production and operation overall appearance.
The top layer is an industrial cloud system, more than 500 customizable and extensible functional modules are provided aiming at business scenes such as marketing, management, purchasing, manufacturing, warehousing and logistics, business applications such as personnel, administration, office, sales, finance, clients, supply chains, product data, product life cycles, high-level plan scheduling and manufacturing execution are involved, the whole process of enterprise management is covered, and all the production and operation links of an enterprise are integrated into a high-efficiency industrial internet intelligent ecological circle in a building block mode.
The Internet of things middle platform provides a fog calculation support, a plurality of industrial brains can be interconnected to form a cluster effect, a fog calculation scene is constructed, and a fog calculation induction and docking system is built in the fog calculation scene.
Example 2:
the industrial internet system based on the industrial brain has the functions of internet of everything, edge calculation, fog calculation, calculation power balance, ultra-low delay, reliable concurrence, equipment management, information safety, an open platform, a virtual private network, 5G network access, a service hub, a data center, information island elimination, industrial visual identification and visual detection, an enterprise-level industrial internet system and an industrial-level industrial internet platform, has the advantages of universality, easiness in deployment, implementation cost and period, compatibility and openness, and brings the following benefits when implemented by Haoyen medical supplies Limited in Qingdao island:
the human consumption is reduced: 17 persons; the labor cost is saved each year: 160 ten thousand yuan; energy consumption monitoring coverage rate: 100 percent; safety accidents: 0to get; energy conservation and consumption reduction in the current year: 20 percent; honor the Shandong province Internet of things science and technology improvement prize; typical cases of the intelligent city in Qingdao are evaluated.
Example 3:
the industrial brain-based industrial internet system related to the embodiment brings the following benefits when implemented by seiko corporation:
the whole line runs through customization, signing, planning, purchasing, production and storage links to form a service closed loop and eliminate information islands; information coverage rate: 100 percent; the order delivery cycle is shortened: 20 percent; the product percent of pass exceeds: 99 percent; the production efficiency is improved: 30 percent; the purchase cost is reduced: 20 percent; communication cost is reduced: 90 percent; obtaining a demonstration project for integrating the Zhejiang province manufacturing industry and the Internet; selecting national intelligent enterprises to construct innovative practice cases; the method becomes a popularization mode of the 'high-end manufacturing industry + artificial intelligence' attack combat scheme in Qingdao city.
Claims (9)
1. An industrial internet system based on an industrial brain has a main body structure of the industrial brain consisting of an industrial brain host and an industrial data gateway, wherein the industrial brain host is connected with the industrial data gateway through a network cable, an optical fiber or 4G/5G; a Handle identification analysis standard module, an industrial data chain module, a business rule chain module, an Internet of things middle platform subsystem module and an industrial cloud subsystem module are integrated on the industrial brain host; the Handle identification analysis standard module is electrically connected with the industrial data link module, and the industrial data link module is electrically connected with the business rule link module; the method is characterized in that the core algorithm of the industrial brain host comprises a BRCS business rule chain system, an IDLS industrial data chain system and an AVPS asynchronous visual processing system;
1. the BRCS business rule chain system is used for completing visual configuration and automatic scheduling of any business process, so that the business operation mode is converted from autonomous circulation and random adjustment based on the business rule chain by pushing forward by people and system;
1. visualization configuration:
the visual editing interface provided by the business rule chain system comprises a series of business nodes with different functions and actions and a business rule chain editor supporting operation in a mouse or touch mode;
the specific service node comprises: service data presence screening node, service relationship screening node, GPS coordinate screening node, data type screening node, data routing node, custom service logic node, custom data node, equipment node, data provider node, data consumer node, data relationship node, data telemetry node, service conversion node, data assignment action node, turn-on early warning action node, clear early warning action node, GPS coordinate change action node, delay action node, log node, RPC request action node, RPC response action node, message counting node, storage action node, synchronization action node, MQTT node, KAFKA node, mail sending node, and micro-mail sending node;
when configuring a business process, firstly abstracting industrial equipment and industrial software in actual production activities into data provider nodes or data consumer nodes on a business rule chain, adding the data provider nodes or the data consumer nodes to a canvas, then placing various functional nodes on the canvas according to business requirements, and finally sequentially connecting each node on the canvas by a curve based on a business flow sequence;
2. automatic scheduling:
after the business rule chain is established, the industrial brain can automatically command industrial software and industrial equipment on the rule chain to operate according to the configured business rule without manual intervention, and an execution engine of the industrial brain can immediately compile the business rule and business data on the business rule chain into binary codes so as to facilitate the execution of hardware equipment with high performance, high reliability, low power consumption and low delay;
the rule chain editor can be used for adjusting the rule chain at any time, after each adjustment, an execution engine of the industrial brain automatically compares the difference of the new rule chain and the old rule chain, recompilation and intelligent loading are carried out on the changed part, the whole rule chain does not need to be recompiled and loaded, and all the business in circulation is not influenced;
2. the IDLS industrial data link system realizes data interconnection and service intercommunication of heterogeneous software and hardware systems through a high-abstraction data interface mechanism, high-compatibility data fusion capability and high-flexibility customization and expansion space; the industrial data chain takes an external interface on an industrial brain as a physical medium, takes the data chain as a link, connects each industrial device and each set of industrial software in series, takes the OpenNode universal interface standard as a standard, and enables the heterogeneous systems to be interconnected and intercommunicated without obstacles;
1. data chain system:
the data link system is an infrastructure of an industrial brain, has the functions of data communication, protocol conversion and data coding/decoding, and consists of a data link subsystem, a data conversion subsystem and a data security subsystem;
the data link subsystem is used for directly butting industrial equipment and industrial software, realizing the input and output of original data, supporting communication protocols including HTTP, TCP, MQTT, OPC-UA, RPC, sigfox and Modbus and meeting the communication requirements of common industrial equipment and industrial software; the data conversion subsystem is used for completing instant conversion among all communication protocols; the data security subsystem is used for completing access authorization, identity verification and data encoding/decoding in the data communication process;
2. OpenNode universal interface standard:
the OpenNode universal interface standard is additionally provided with a data monitoring and active data pushing mechanism on the basis of complying with the Handle identification analysis international standard so as to meet the data transmission and service interaction among heterogeneous systems in different industrial internet application scenes;
the manager of each Handle node can register a listener to the Handle node in a mode of issuing an authorization Key and set data monitoring permission respectively; when data in the Handle node is changed, the listener with the monitoring authority can receive the data packet actively pushed by the OpenNode;
in addition, a listener can query data on a Handle node through an OpenNode by using SQL grammar;
in order to relieve the coupling of an OpenNode universal interface system and a specific service system and a service flow and enhance the universality and expandability of the OpenNode, the OpenNode provides an open type plug-in system based on an adapter design mode; when the heterogeneous systems need to be butted, only API development service plug-ins provided by OpenNode are needed; after the service plug-ins are installed on the industrial brain, the OpenNode establishes bidirectional data channels among the service plug-ins to automatically complete data interconnection and service intercommunication;
3. the AVPS asynchronous vision processing system provides industrial field multi-channel vision identification, vision detection and vision analysis capabilities; in a production field, different industrial cameras are simultaneously connected to an industrial brain, and an asynchronous visual processing system firstly calls a video processing chip built in the industrial brain to carry out real-time parallel video transcoding on each path of video stream; after the real-time transcoding of the video stream is completed, the asynchronous visual processing system performs atomic splitting on built-in algorithms of visual identification and visual detection, dynamically allocates the split video streams to 5000 stream processors in a built-in GPU of an industrial brain to complete distributed parallel computation, and the whole computation process does not occupy processor and memory resources.
2. The industrial internet system based on the industrial brain according to claim 1, wherein the industrial brain host can provide directional support for industrial visual identification and visual detection, high-definition transcoding is performed on visual identification and visual detection images generated in an industrial production process, transmission and identification speeds are increased while image accuracy is guaranteed, identification and detection results are fed back immediately, equipment is controlled timely to complete positioning and correction movement, error repair is performed, the internet or a local area network is supported for data processing, and the industrial internet system based on the industrial brain is composed of a high-performance industrial host, an industrial video processing chip, an optical fiber communication module, a first 5G communication module and a RAID disk array; the industrial-grade video processing chip is an H.265 coding/decoding chip, has ultralow power consumption and super computational power, supports coding and transcoding of 4K @60fps or 1080p@240fps H.264/H.265, and supports 8K @60fps by a single chip; a 2D graphic engine is built in, and the zooming can be flexibly accelerated; the chip-level coding and decoding can be carried out on monitoring videos, visual inspection videos, conference videos, VR/AR videos, live videos and high-definition pictures, and the data compression rate is 90%; under concurrent loads of 4K @60fps or 1080p @240fps, stable ultralow delay can be kept; compared with a CPU, the electric quantity can be saved by 90%; under the same code stream and density, the power consumption is 37 percent of that of the conventional FPGA, 2 percent of that of the GPU and 0.6 percent of that of the CPU; the method comprises the steps of owning a Deep Neural Network engine, supporting 20TOP computing power by a single chip, and supporting DNN algorithms and operations comprising object detect, classification and segmentation; the AI auxiliary video coding is supported, and the high-efficiency fusion of the video coding and decoding and the AI accelerating engine is realized; the high-definition transcoding can be carried out on the visual identification and visual detection images in the industrial production process, the image precision is guaranteed, meanwhile, the transmission and identification speed is improved, the identification and detection results are fed back in real time, and the equipment is controlled in time to complete positioning and correct movement and carry out error repair.
3. An industrial brain-based internet system according to claim 1 or 2, wherein the industrial data gateway is used for connecting industrial equipment, and is composed of a plurality of DTUs, a plurality of RTU modules, an optical fiber communication module and a second 5G communication module, wherein the DTUs and the RTU modules are data acquisition equipment, and are respectively connected with production equipment.
4. The industrial internet system based on an industrial brain according to claim 3, characterized in that the Handle identification resolution standard module is a global identification resolution standard, which can realize data interconnection, service intercommunication and process tracing among heterogeneous systems under the premise of access control and information security, so that each set of industrial brain becomes an individual Handle identification resolution node.
5. The industrial brain-based internet system of claim 4, wherein the industrial data chain module supports a Handle identification parsing standard module and further supports communication protocols including HTTP, TCP, MQTT, OPC-UA, RPC, sigfox and Modbus, can complete data transmission, data encoding, data decoding, data encryption, data escape and data routing, realizes data interconnection and service intercommunication among heterogeneous systems, and conforms to the Handle identification parsing standard.
6. The industrial brain-based internet system of claim 5, wherein the business rule chain module obtains data and schedules business through the industrial data chain module, and completes configuration and adjustment of business processes between heterogeneous systems through a non-programming and visualization technology, so as to realize intelligent scheduling and autonomous traffic transfer of business between heterogeneous systems.
7. The industrial brain-based internet system of claim 6, wherein the internet of things middleware subsystem module is used for internet of things management, and supports real-time monitoring and collection of production data of each production line, each equipment and each station; the configurable and customizable kanban assembly is provided, programming and visual dragging operation are not needed, and the kanban assembly takes effect immediately; self-defining early warning nodes, early warning events, early warning modes, handling plans, instant early warning of mails, short messages and WeChat, automatic adaptation of a large screen, a PC (personal computer), a tablet and a mobile phone, establishment of various virtual private networks of IPsec VPN, L2TP, PPTP and open VPN, SPI full-state detection, network firewall functions of Secure Shell and multi-level user permission; the control instruction can be automatically issued to industrial equipment and stations according to preset service logic and early warning events.
8. The industrial brain-based industrial internet system according to claim 1 or 7, wherein the industrial cloud subsystem module is used for business management, provides more than 500 customizable and extensible functional modules for business scenes of marketing, management, purchasing, manufacturing, warehousing and logistics, and covers the whole process of enterprise management, and users can integrate production and operation links of enterprises into a high-efficiency industrial internet intelligent ecosystem by building blocks.
9. An industrial brain-based internet system according to claim 1, wherein it can be built quickly by the following procedures:
1. deploying an industrial brain host in a machine room;
2. one or more industrial data gateways are deployed in a production workshop and are respectively connected with production equipment;
3. the industrial brain host is connected with the industrial data gateway through an Ethernet, an optical fiber communication module or a 5G communication module.
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