Digital twin opens the way for digital transformation and upgrading of traditional industries

Status quo of academic research at home and abroad

Digital twin background in time is not long in the world, starting in 2010, the first of the paper in 2020 until now, has 10 years of time, in the world do digital twin enterprise also is not much more special, digital twin technology involved in the field is very wide, and in the field of much more technical management form the Angle of fusion products is indeed very difficult, There’s not ten years or even a lot of cases or a lot of application opportunities for you to do something like this and it’s something that we all have to talk about and learn about.

From 2010 to 2015, the number of digital twin papers published was less than 10 in a single year.

From 2016 to 2019, the number of digital twin papers has entered a period of rapid growth, with 24 papers published in 2016, 12 in 2017, and 321 papers published in 2018.

The number of papers published in 2019 exceeded 600, accounting for more than 50% of the total number of papers published in the past decade. It is expected that the number of papers published in digital twin will continue to show a rapid growth trend in the next few years.

GE General Electric Predix

GE Predix is a leader in digital twinning and does it very well for large aircraft. He put the big plane node, his inside some communication, some of his model of aircraft flying in the air when his whole control, able to absorb some of the parameters to the aircraft, to effectively predict the zero device when to change, when to change, what kind of way to change, and so on, So he is doing better in the field of aircraft.

Siemens MindSphere

Siemens has also done better in the digital twin in recent years. Siemens from do an industrial control system, industrial control software to IT and finally to acquire digital twin including design software company, company code, including the Internet of things IT in a large number of acquisitions, from the development trend is actually make the automation control of enterprise, they in exploration of OT or IT is he has the advantage of, Because they are in charge of formulating the whole control protocol, they directly manage the process, quality, equipment and materials of the machine in the whole flow direction, data management and data analysis. When the machine is producing products, it uses OT code programs to realize its management. So in the OT and the integration of IT and I feel in OT automation management is derived than from management in automation control, from the OT to IT better, and IT big data in the cloud platform of workflow management is of great advantage, so that’s why the future to do system to do OT and IT users.

Jupiter digital twin platform

Jupiter digital twin platform is the digital twin technology of Hualong Schindler in the past 11 years, our automation technology in the 1920s, our digital technology in the past 10 years, and the cloud platform technology that we will work with Tencent in the next five or six years. So we took this technology and we built a digital twinning platform based on cloud application from digital twinning equipment to digital twinning production line to digital twinning workshop to digital twinning factory.

Digital twin technology platform

Digital twin is actually a process from data acquisition to data application to data management, so it can help enterprises solve some problems encountered in high-quality development, such as the supply-side structural reform of the industry, such as the construction of the integration of the whole industry chain, such as the quality and efficiency of economic operation. Ring in the whole production process of the man-machine material method attribute how he, the relationship between the whole product design to production, including management of its parameters, including his entire early warning forecast including real-time analysis, it is should rely on model to do things, we set up different models for different effective management, In the entire digital twin platform it is inseparable from the industrial Internet system, in the entire industrial Internet construction process he is a core support of the digital twin of a base.

Digital technology of twin he leave the automation control technology, because only in the field of automatic control in looking for his model, he managed to continue to be valid tracking analysis, so the whole process of is the most direct control the process of equipment So the device you are an intelligent equipment, is an intelligent production line, Whether your control system is intelligent depends on whether your management is intelligent. There are many others, such as smart factories, smart services, smart enabling technologies and industrial networks. This is the application of digital twin of the whole industry, the new mode of digital production, the new mode of network collaboration, the new mode of service transformation, the new standard of digital twin of the industrial chain, which are all digital twin to carry out effective management. And the security of the industrial Internet, we all know that the data security is now more important than the defense line, your data on the production line was hacked after your process will get rid of, your production is the product, so the data security is also very important.

Since the digital twin, we 12 people spent a year’s time, we can now do it from a batch of production scheduling, production process of the production qr code code, based on the qr code tracking code after the whole chain of logistics, in the future he came to the warehouse inventory to dispatch to retail to consumers, finally bought by the production, Twelve of us did it in a year, and that’s the value that the cloud platform brings to us. That is, 123 industrial chain tracks the whole chain from the production of raw materials to the production of products to the consumption of products. Now we all use industrial Internet platform digital twin.

The whole digital twin is understood as four parts, which can improve the product based on digital twin. First of all, it is data, from the design data of the product, its process data, to its entire production process data, its real-time data comparison, your standard data to its actual data differences, and finally data management, big data, ARTIFICIAL intelligence of AI, Including his entire analysis can put the data architecture factory data application platform to develop data norms and standards. There is also the connection, which is the data connection from the machine to the cloud. Based on the rule engine and products, it can realize the storage, calculation and analysis of massive device data. Another is computing, the borderless services of edge computing and cloud computing. There is management, in the whole process to achieve the machine and the depth of the management side of the integration. Therefore, in this process, all the digital chains in the four application processes are sorted out, including all the business components and all the tools of management can be applied, then our enterprise will make a very good product.

What is the definition of digital twin? I think digital twin is the designer’s data process parameters can be well controlled, implemented and executed in the production line. According to his design, we should buy good materials to produce good products, formulate good management ideas in the production process, use good models to manage factories, and use good tools to do our products well. How do you do that? In the whole process, we establish digital management architecture system, the whole raw materials planting, processing digital twin application, industrial production digital twin application, commercial digital twin application, retail applications and consumer applications. Here we are in the process of the whole we are going to have a business driven, must carry on the platform of the driver and there is a technology driven, with a standard drive, so in the whole process of system construction must be to a platform thinking, we use the construction of the digital platform must get 30 years of management thoughts into a model, Make this production line every piece of production line equipment is a model of 30 years of thought.

In the process of the whole technical framework, my personal understanding, should put fog calculation in among them, the fog computing technology as the core of data acquisition, calculation and reverse edge control, mechanism and model of tool data modeling and high-performance solution analysis model, and the digital twin, high fidelity of single-stage twin level, system level and SoS number, and block chain, Based on the industrial data traceability and connection of Gold Cora, the last is the enabling tool, ecological enabling tool.

First of all, we need to understand the automation control language in the world, to understand the protocol of automatic control, to understand the control of some robots including his automatic control services, including unmanned car, including some algorithms of imaging AI these things we need to understand as soon as possible; Second, basic cloud manufacturing knowledge; The Industrial Internet of Things; The fourth is the timing database, in the whole industrial Internet construction project timing database is a very important; The fifth is the digital modeling platform, in the whole process of digital modeling platform is a sharp tool for all managers to do industry in the future; The sixth is the digital twin platform; The seventh is micro-service platform; The last one is mobile application platform. Based on the front of the whole platform architecture, we explore new models of intelligent manufacturing industry through industrial Internet cloud platform, we use the platform after we pass several mining, modeling and simulation to build digital factory, realization of virtual manufacturing, virtual simulation before production, for example, in the production of real-time simulation, light soy sauce using simulation, manufacturing process simulation, simulation equipment running status monitoring etc. We built a foundational platform here.

In the platform infrastructure we use a good standard configuration of the base, including the base manufacturing cloud platform from the edge layer from Laas layer to Paas layer to SaaS layer, to establish a complete industrial Internet platform infrastructure. On the basis of the cloud platform of enterprise basic manufacturing, an open, shared, reusable and crowd-created industrial Internet platform is constructed to form the basic environment of intelligent license and support the operation of industrial Internet platform and the application innovation of intelligent manufacturing App.

We through the data collection in order to realize digital factory, by modeling the business model, through simulation implement manufacturing virtualization, integration through standard construction, we build five class service, data collection service, data modeling services, virtual manufacturing services, big data analytics services including product whole life cycle of the whole process service, equipment services in whole life cycle of the whole process, Mobile application services, two-dimensional code association and verification services, including virtual supply chain adherence services. The realization of four enabling, is to quickly adapt to market changes, rapid response to product demand enabling; For the personalized customization of cigarette products, enabling service-oriented manufacturing, to improve the homogenous production capacity, to promote the improvement of product quality level, enabling the intelligent cigarette manufacturing ecosystem, enabling the transformation and upgrading of cigarette manufacturing.

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