CN115129004A - An intelligent production system and method based on edge computing and digital twin - Google Patents
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Abstract
Description
技术领域technical field
本发明属于智能生产技术领域，具体涉及一种基于边缘计算和数字孪生的智能生产系统及方法。The invention belongs to the technical field of intelligent production, and in particular relates to an intelligent production system and method based on edge computing and digital twin.
背景技术Background technique
纺织产业是我国国民经济的支柱产业和重要的民生产业，随着工厂自动化、信息化建设的不断推进，工业互联网、大数据、信息物理系统(Cyber-Physical Systems，CPS)、数字孪生(也可称数字映射、数字镜像等，Digital Twin)、数字主线等技术不断出现并快速融入纺织产业生产中，各种自动化系统、信息化系统的部署与应用，使得作为产品生产的车间管理变得越来越重要，而且工作量越来越大，协同工作性要求越来越高，对安全性、可用性和运维管理等要求也越来越高。The textile industry is a pillar industry of my country's national economy and an important civilian production industry. With the continuous advancement of factory automation and informatization construction, industrial Internet, big data, Cyber-Physical Systems (CPS), digital twins (also available Technologies such as digital mapping, digital mirroring, etc., Digital Twin), and digital main lines are emerging and rapidly integrated into the production of the textile industry. The deployment and application of various automation systems and information systems have made workshop management as product production more and more important. The more important, and the workload is getting larger and larger, the requirements for interoperability are getting higher and higher, and the requirements for security, availability, and operation and maintenance management are also getting higher and higher.
目前生产车间管理采用模块化生产，由多个生产单元和物流单元构成复杂的协作系统，但是传统的模块化生产运作过程中，各单元是独立运作的，无法从全局优化的角度实现协调运作，造成资源、质量等多方面的不良干扰，影响生产效率。At present, the production workshop management adopts modular production, which consists of multiple production units and logistics units to form a complex collaborative system. However, in the traditional modular production operation process, each unit operates independently and cannot achieve coordinated operation from the perspective of global optimization. Causes adverse interference in resources, quality and other aspects, affecting production efficiency.
发明内容SUMMARY OF THE INVENTION
为了克服现有技术的不足，本发明提供了一种基于边缘计算和数字孪生的智能生产系统及方法，包括边缘计算控制系统和数字孪生管理控制系统，边缘计算控制系统包括信息层、通信层和物理层，数字孪生管理控制系统包括数字化制造设备和数字孪生管理控制层；物理层使用信息层的智能感知技术实时感知模块化生产全流程产生的多源异构数据，通过通信层为各单元的动态交互、协同优化以及精准决策提供数据支撑。本发明生产系统和方法，通过设置数字孪生关联控制系统，对实际生产中，生产协调和资源配置进行实时感知监控，精准映射生成以数字数据为对象的动态虚拟模型，在决策初期实现信息在线迭代运行和双向优化，从而达到全局优化协调运作，消除动态性干扰，合理配置资源生产。In order to overcome the deficiencies of the prior art, the present invention provides an intelligent production system and method based on edge computing and digital twin, including an edge computing control system and a digital twin management and control system, and the edge computing control system includes an information layer, a communication layer and a The physical layer, the digital twin management and control system includes digital manufacturing equipment and digital twin management and control layer; the physical layer uses the intelligent perception technology of the information layer to perceive the multi-source heterogeneous data generated by the whole process of modular production in real time, through the communication layer for each unit. Dynamic interaction, collaborative optimization and accurate decision-making provide data support. In the production system and method of the invention, by setting up a digital twin associated control system, real-time perception and monitoring of production coordination and resource allocation in actual production, accurate mapping to generate a dynamic virtual model with digital data as the object, and online iteration of information in the early stage of decision-making Operation and two-way optimization, so as to achieve global optimization and coordinated operation, eliminate dynamic interference, and rationally allocate resources for production.
本发明解决其技术问题所采用的技术方案包括如下步骤：The technical scheme adopted by the present invention to solve its technical problems comprises the following steps:
一种基于边缘计算和数字孪生的智能生产系统，包括边缘计算控制系统和数字孪生管理控制系统；所述边缘计算控制系统包括信息层、通信层和物理层，所述数字孪生管理控制系统包括数字化制造设备和数字孪生管理控制层；An intelligent production system based on edge computing and digital twin, including an edge computing control system and a digital twin management and control system; the edge computing control system includes an information layer, a communication layer and a physical layer, and the digital twin management and control system includes a digital twin management and control system. Manufacturing equipment and digital twin management control layers;
所述信息层包括数据感知和数据计算；所述数据感知包括生产产品的重量、输出速度、输入速度和均整性数据采集；所述数据计算指对数据感知的处理分析、分类聚类、挖掘推理和回溯优化；The information layer includes data perception and data calculation; the data perception includes the weight, output speed, input speed and uniformity data collection of the production product; the data calculation refers to the processing and analysis, classification and clustering, mining and reasoning of the data perception and backtracking optimization;
所述通信层是指采用工业互联网技术，包括RFID、Tag、WiFi、ZigBee；所述通信层还包括RFID标签、RFID阅读器和GPS定位设备；The communication layer refers to the use of industrial Internet technologies, including RFID, Tag, WiFi, and ZigBee; the communication layer also includes RFID tags, RFID readers, and GPS positioning devices;
所述物理层包括执行单元的生产设备、对生产设备进行智能控制的PLC控制器和传感器；所述传感器包括质量传感器、速度传感器；The physical layer includes the production equipment of the execution unit, the PLC controller and the sensor for intelligently controlling the production equipment; the sensor includes a quality sensor and a speed sensor;
所述物理层使用智能感知技术实时感知模块化生产全流程产生的多源异构数据，通过通信层为信息层的动态交互、协同优化以及精准决策提供数据支撑；The physical layer uses the intelligent perception technology to perceive the multi-source heterogeneous data generated in the whole process of modular production in real time, and provides data support for the dynamic interaction, collaborative optimization and precise decision-making of the information layer through the communication layer;
所述数字孪生管理控制层包括虚拟模型、虚拟映像和虚拟仿真，以应用服务为基础，分别通过虚拟模型、虚拟映像和虚拟仿真，经过动态协调、优化和计算，在信息世界构建与物理层同步的数字化制造设备动态联动仿真；The digital twin management and control layer includes virtual model, virtual image and virtual simulation. Based on application services, through virtual model, virtual image and virtual simulation, through dynamic coordination, optimization and calculation, the information world is constructed and synchronized with the physical layer. Dynamic linkage simulation of digital manufacturing equipment;
所述边缘计算控制系统为数字孪生管理控制层提供支撑，使数字孪生管理控制层能够实现在线联动决策。The edge computing control system provides support for the digital twin management and control layer, so that the digital twin management and control layer can realize online linkage decision-making.
一种基于边缘计算和数字孪生的智能生产方法，包括以下步骤：An intelligent production method based on edge computing and digital twin, including the following steps:
步骤1：在订单初管理期，通过应用服务和网络设备服务，完成产品订单后，划分生产模块单元，各模块单元联动决策运作；Step 1: In the initial management period of the order, through the application service and network equipment service, after the product order is completed, the production module units are divided, and each module unit is linked to make decisions;
步骤2：在规划优化期，由于市场需求变化，调整各生产模块单元运作情况，优化各关联环节的作业计划，消除动态干扰达到最优运作；Step 2: During the planning optimization period, due to changes in market demand, adjust the operation of each production module unit, optimize the operation plan of each associated link, and eliminate dynamic interference to achieve optimal operation;
步骤3：动态协调管控，使用数字孪生管理系统，获取执行单元的人员、物料、设备、工艺和环境，虚拟形成生产全流程的实时数据，反复优化生成最优作业计划，指导实践生产活动。Step 3: Dynamically coordinate management and control, use the digital twin management system to obtain the personnel, materials, equipment, process and environment of the execution unit, virtually form real-time data of the entire production process, and repeatedly optimize and generate optimal operation plans to guide practical production activities.
本发明的有益效果如下：The beneficial effects of the present invention are as follows:
1、本发明基于边缘计算和数字孪生的智能生产系统和方法，通过设置数字孪生关联控制系统，对实际生产中，生产协调和资源配置进行实时感知监控，精准映射生成以数字数据为对象的动态虚拟模型，在决策初期实现信息在线迭代运行和双向优化，从而达到全局优化协调运作，消除动态性干扰，合理配置资源生产。1. The present invention is based on an intelligent production system and method based on edge computing and digital twin. By setting up a digital twin associated control system, real-time perception and monitoring of production coordination and resource allocation in actual production are performed, and dynamic mapping with digital data as the object is accurately mapped. The virtual model realizes online iterative operation and bidirectional optimization of information in the early stage of decision-making, so as to achieve global optimization and coordinated operation, eliminate dynamic interference, and reasonably allocate resources for production.
2、本发明基于边缘计算和数字孪生的智能生产系统和方法，通过设置缘计算控制系统提高动态信息的实时反馈，使各个生产模块单元以及资源配置、作业计划、运转方式能够达到多方面协调一致，满足数字孪生的创建物理模拟堆叠，消除来自生产管理多方面的不良干扰，保证生产的高效运行。2. The present invention is an intelligent production system and method based on edge computing and digital twin. By setting up an edge computing control system, the real-time feedback of dynamic information is improved, so that each production module unit, resource allocation, operation plan and operation mode can be coordinated in many aspects. , to meet the creation of physical simulation stacks of digital twins, eliminate adverse interference from various aspects of production management, and ensure the efficient operation of production.
附图说明Description of drawings
图1为本发明提出的基于边缘计算和数字孪生的智能生产系统和方法的示意图；Fig. 1 is the schematic diagram of the intelligent production system and method based on edge computing and digital twin proposed by the present invention;
图2为本发明提出的基于边缘计算和数字孪生的智能生产系统和方法的流程图。FIG. 2 is a flowchart of the intelligent production system and method based on edge computing and digital twin proposed by the present invention.
具体实施方式Detailed ways
下面结合附图和实施例对本发明进一步说明。The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
一种基于边缘计算和数字孪生的智能生产系统，包括边缘计算控制系统和数字孪生管理控制系统；所述边缘计算控制系统包括信息层、通信层和物理层，所述数字孪生管理控制系统包括数字化制造设备和数字孪生管理控制层；An intelligent production system based on edge computing and digital twin, including an edge computing control system and a digital twin management and control system; the edge computing control system includes an information layer, a communication layer and a physical layer, and the digital twin management and control system includes a digital twin management and control system. Manufacturing equipment and digital twin management control layer;
所述信息层包括数据感知和数据计算；所述数据感知包括生产产品的重量、输出速度、输入速度和均整性数据采集；所述数据计算指对数据感知的处理分析、分类聚类、挖掘推理和回溯优化；The information layer includes data perception and data calculation; the data perception includes the weight, output speed, input speed and uniformity data collection of the production product; the data calculation refers to the processing and analysis, classification and clustering, mining and reasoning of the data perception and backtracking optimization;
所述通信层是指采用工业互联网技术，包括RFID、Tag、WiFi、ZigBee；所述通信层还包括RFID标签、RFID阅读器和GPS定位设备；The communication layer refers to the use of industrial Internet technologies, including RFID, Tag, WiFi, and ZigBee; the communication layer also includes RFID tags, RFID readers, and GPS positioning devices;
所述物理层包括执行单元的生产设备、对生产设备进行智能控制的PLC控制器和传感器；所述传感器包括质量传感器、速度传感器；The physical layer includes the production equipment of the execution unit, the PLC controller and the sensor for intelligently controlling the production equipment; the sensor includes a quality sensor and a speed sensor;
所述物理层使用智能感知技术实时感知模块化生产全流程产生的多源异构数据，通过通信层为信息层的动态交互、协同优化以及精准决策提供数据支撑；The physical layer uses the intelligent perception technology to perceive the multi-source heterogeneous data generated in the whole process of modular production in real time, and provides data support for the dynamic interaction, collaborative optimization and precise decision-making of the information layer through the communication layer;
所述数字孪生管理控制层包括虚拟模型、虚拟映像和虚拟仿真，以应用服务为基础，分别通过虚拟模型、虚拟映像和虚拟仿真，经过动态协调、优化和计算，在信息世界构建与物理层同步的数字化制造设备动态联动仿真；The digital twin management and control layer includes virtual model, virtual image and virtual simulation. Based on application services, through virtual model, virtual image and virtual simulation, through dynamic coordination, optimization and calculation, the information world is constructed and synchronized with the physical layer. Dynamic linkage simulation of digital manufacturing equipment;
所述边缘计算控制系统为数字孪生管理控制层提供支撑，使数字孪生管理控制层能够实现在线联动决策。The edge computing control system provides support for the digital twin management and control layer, so that the digital twin management and control layer can realize online linkage decision-making.
数字孪生管理控制层通过物理层的精准虚拟映像和数字对象的动态虚拟仿真支撑联动式运作的在线联动决策，在实时采集的生产执行数据的驱动下，基于环境模型、关系模型与对象模型多尺度运作模型对生产全流程进行精准映像，在信息世界中实时呈现物理层的实际运作情况，对生产系统做出精准综合运作效果判断，并基于联动模型不断迭代优化联动决策策略以支撑生产运作的在线联动决策。The digital twin management and control layer supports the online linkage decision-making of linkage operation through the accurate virtual image of the physical layer and the dynamic virtual simulation of digital objects. Driven by the production execution data collected in real time, it is based on the multi-scale environment model, relational model and object model. The operation model accurately maps the entire production process, presents the actual operation of the physical layer in real time in the information world, makes accurate and comprehensive operation effect judgments on the production system, and continuously iterates and optimizes the linkage decision-making strategy based on the linkage model to support the online production operation. Linked decision.
一种基于边缘计算和数字孪生的智能生产方法，包括以下步骤：An intelligent production method based on edge computing and digital twin, including the following steps:
步骤1：在订单初管理期，通过应用服务和网络设备服务，完成产品订单后，划分生产模块单元，各模块单元联动决策运作；Step 1: In the initial management period of the order, through the application service and network equipment service, after the product order is completed, the production module units are divided, and each module unit is linked to make decisions;
步骤2：在规划优化期，由于市场需求变化，调整各生产模块单元运作情况，优化各关联环节的作业计划，消除动态干扰达到最优运作；Step 2: During the planning optimization period, due to changes in market demand, adjust the operation of each production module unit, optimize the operation plan of each associated link, and eliminate dynamic interference to achieve optimal operation;
步骤3：动态协调管控，使用数字孪生管理系统，获取执行单元的人员、物料、设备、工艺和环境，虚拟形成生产全流程的实时数据，反复优化生成最优作业计划，指导实践生产活动。Step 3: Dynamically coordinate management and control, use the digital twin management system to obtain the personnel, materials, equipment, process and environment of the execution unit, virtually form real-time data of the entire production process, and repeatedly optimize and generate optimal operation plans to guide practical production activities.
具体实施例：Specific examples:
参照图1-2，基于边缘计算和数字孪生的智能生产系统和方法，包括边缘计算控制系统和数字孪生管理控制系统，所述边缘计算控制系统包括信息层、通信层和物理层，所述信息层包括数据感知和数据计算，数据感知分为生产产品的重量、输出速度、输入速度和均整性数据采集，数据计算指对数据感知的处理分析、分类聚类、挖掘推理和回溯优化。1-2, an intelligent production system and method based on edge computing and digital twin, including an edge computing control system and a digital twin management control system, the edge computing control system includes an information layer, a communication layer and a physical layer, the information The layer includes data perception and data calculation. Data perception is divided into production product weight, output speed, input speed and uniformity. Data collection, data calculation refers to the processing and analysis of data perception, classification and clustering, mining reasoning and backtracking optimization.
所述物料层是指硬件资源，包括执行单元的生产设备、对生产设备进行智能控制的PLC控制器和传感器，传感器包括质量传感器、速度传感器，所述硬件资源还包括RFID标签、RFID阅读器和GPS定位设备，所述通信层是指采用工业互联网技术，包括RFID、Tag、WiFi、ZigHee，使用RFID标签、RFID阅读器、GPS定位设备与传感器对生产全流程实时感知多源数据。The material layer refers to hardware resources, including production equipment of execution units, PLC controllers and sensors that intelligently control the production equipment, sensors include quality sensors, speed sensors, and hardware resources also include RFID tags, RFID readers and sensors. GPS positioning equipment, the communication layer refers to the use of industrial Internet technologies, including RFID, Tag, WiFi, ZigHee, and the use of RFID tags, RFID readers, GPS positioning equipment and sensors to sense multi-source data in real time for the entire production process.
所述数字孪生管理控制系统包括数字化制造设备和数字孪生管理控制层，所述数字孪生管理控制层包括虚拟模型、虚拟映像和虚拟仿真，以应用服务为基础，分别通过虚拟模型、虚拟映像和虚拟仿真，通过动态协调、优化和计算，在信息世界构建与物理层同步的动态联动仿真。The digital twin management and control system includes digital manufacturing equipment and a digital twin management and control layer. The digital twin management and control layer includes a virtual model, a virtual image, and a virtual simulation. Based on application services, through the virtual model, virtual image and virtual simulation. Simulation, through dynamic coordination, optimization and calculation, constructs dynamic linkage simulation synchronized with the physical layer in the information world.
物理层使用信息层的智能感知技术实时感知模块化生产全流程产生的多源异构数据，通过通信层为各单元的动态交互、协同优化以及精准决策提供数据支撑。The physical layer uses the intelligent sensing technology of the information layer to perceive the multi-source heterogeneous data generated in the whole process of modular production in real time, and provides data support for the dynamic interaction, collaborative optimization and precise decision-making of each unit through the communication layer.
数字孪生管理控制层通过物理层的精准虚拟映像和数字对象的动态虚拟仿真支撑联动式运作的在线联动决策，在实时采集的生产执行数据的驱动下，基于环境模型、关系模型与对象模型多尺度运作模型对生产全流程进行精准映像，在信息世界中实时呈现物理层的实际运作情况，对生产系统做出精准综合运作效果判断，并基于联动模型不断迭代优化联动决策策略以支撑生产运作的在线联动决策。The digital twin management and control layer supports the online linkage decision-making of linkage operation through the accurate virtual image of the physical layer and the dynamic virtual simulation of digital objects. Driven by the production execution data collected in real time, it is based on the multi-scale environment model, relational model and object model. The operation model accurately maps the entire production process, presents the actual operation of the physical layer in real time in the information world, makes accurate and comprehensive operation effect judgments on the production system, and continuously iterates and optimizes the linkage decision-making strategy based on the linkage model to support the online production operation. Linked decision.
本实施例中，还提出了基于边缘计算和数字孪生的智能生产的方法，包括以下具体步骤：In this embodiment, a method for intelligent production based on edge computing and digital twin is also proposed, including the following specific steps:
步骤一、订单初管理期，通过应用服务和网络设备服务，完成产品订单后，分析和判别设备和资源的状态，划分生产模块单元，各模块单元联动决策运作；Step 1. During the initial management period of the order, through the application service and network equipment service, after the product order is completed, the status of the equipment and resources is analyzed and judged, the production module units are divided, and each module unit is linked for decision-making operation;
步骤二、再规划优化期，由于市场需求变化引发的复杂动态生产运作环境的便于，调整各生产模块单元运作情况，优化各关联环节的作业计划，消除动态干扰达到最优运作；Step 2: Re-planning the optimization period, due to the convenience of the complex dynamic production operation environment caused by changes in market demand, adjust the operation of each production module unit, optimize the operation plan of each associated link, and eliminate dynamic interference to achieve optimal operation;
步骤三、动态协调管控，使用数字孪生管理系统，获取执行单元的人员、物料、设备、工艺和环境，虚拟形成生产全流程的实时数据，反复优化生成最优作业计划，指导实践生产活动。Step 3: Dynamically coordinate management and control, use the digital twin management system to obtain the personnel, materials, equipment, process and environment of the execution unit, virtually form real-time data of the entire production process, and repeatedly optimize and generate optimal operation plans to guide practical production activities.
通过设置缘计算控制系统提高动态信息的实时反馈，使各个生产模块单元以及资源配置、作业计划、运转方式能够达到多方面协调一致，满足数字孪生的创建物理模拟堆叠，消除来自生产管理多方面的不良干扰，保证生产的高效运行，数字孪生关联控制系统，对实际生产中，生产协调和资源配置进行实时感知监控，精准映射生成以数字数据为对象的动态虚拟模型，在决策初期实现信息在线迭代运行和双向优化，从而达到全局优化协调运作，消除动态性干扰，合理配置资源生产。By setting up the edge computing control system, the real-time feedback of dynamic information is improved, so that each production module unit and resource allocation, operation plan, and operation mode can be coordinated in many aspects, which can satisfy the creation of physical simulation stacks of digital twins, and eliminate the problems from various aspects of production management. Adverse interference to ensure the efficient operation of production, digital twin associated control system, real-time perception monitoring of production coordination and resource allocation in actual production, accurate mapping to generate a dynamic virtual model with digital data as the object, and online iteration of information in the early stage of decision-making Operation and two-way optimization, so as to achieve global optimization and coordinated operation, eliminate dynamic interference, and rationally allocate resources for production.
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