The recent 13th Asian Financial Forum, the stakeholders amazing burst out, “transformation digitized, the failure of 84% of the effort.” While this statement refers to the digital transition economies, but also in this digital factory 84% of them. Manufacturing often mentioned digital factory is to achieve part of intelligent manufacturing. Digitize the plant, is looking forward to many businesses, but also many industrial manufacturers to the layout of the market. What is the digital factory, digital factory should be kind of how?
advantage of the so-called Digital Factory Digital Factory is compared to the transformation and upgrading of traditional plant. In digital factory, the multi-networking technology will use to realize the interconnection between devices, people, systems, eliminate the presence of “information island”. Traditional factory has a flaw, that is high labor costs and poor efficiency. And factory equipment occurred “accident” is ubiquitous, factory equipment to avoid risks, reduce the loss of equipment failure, is to ask for digital functions implemented. For example Control Engineering Copyright , digital factory is to monitor all production equipment is up, real-time data collection and analysis of plant equipment failures that may occur, early warning and find the best solution . So that each device factory colleagues to maintain the best condition to run, reducing labor costs and investment to produce the best products. Domestic factories Digital professionals in transition, noted that efforts to digital transformation 84% failed because the majority of companies believe that the digital transition CONTROL ENGINEERING China Copyright , just a question of technology, and therefore large for hardware, software the scale of investment, but not on the “digital culture” employee investment. About China’s digital factory, still in the early stage of its development, it will inevitably take many detours. It is reported that domestic factories digital transformation, is facing three challenges. First, not thoroughly understand the concept of digital, lack of holistic planning; second, errors can not be out of the narrow-effective, third, the lack of skilled personnel, leading business figures of the “in name only.” Digital chemical plant, requires multi-sectoral coordination. Top-level decision-makers strategically very important CONTROL ENGINEERING China Copyright , to be able to guide the entire manufacturing digital strategy. To this end, in 20 countries19 years of the introduction of the Internet top-level industrial design program to promote the digital transformation of hundreds of thousands of enterprises. How to build Digital Factory Digital Factory is not the first to propose China, we take a look at Germany’s “Industry 4.0” concept, to Germany “intelligent manufacturing” for the development goal of building digital factory, through information technology, extensive connectivity, information exchange a series of measures . Allow more flexibility in the production plant, to meet consumer demand for customization and differentiation. In other words, the future of digital factory is based on the redesign of production processes, supply chain management processes, product redesign, as well as data collection and analysis and decision-making systems. So, to create a digital factory: First, you need a wealth of features and application scenarios; secondly, to meet the information collection requirements; again, standardized production colleagues, retain a certain flexibility of production; and finally, automation equipment simple and practical, easy to spread and low repair and maintenance costs. We often say that the application of data collection and data are two different things. Factory data collection, we have done some deployments in the PLC, the production data collection and then sent to the cloud, it is very easy to achieve. But this process, there are also many junk data. How to identify the value of plant data, and application data, it is one of the key digital transformation. When the factory for internal data, to solve production problems. Factories and external data, consumption data that is interconnected, is to create another part of the digital factory. To do this, we need a secure and reliable platform to achieve data sharing, and ultimately do meet consumers personalized, customized production, which is now often mentioned in intelligent manufacturing. Cases of domestic and foreign industrial giants as Siemens the world, proposed the use of artificial intelligence, big data, and with the traditional digital computing capabilities combine to create the wisdom of the line factory in 2019. Siemens the product cycle is divided into product design, production planning, production engineering, manufacturing, service operations five stages, also the manufacture equipment is divided into five stages, complete digital system on this basis. Digitizing system at each stage, and are physically docking system, called “digital twins.” The first phase, to build a digital product twins, namely digital design, simulation and verification; the second phase of construction of the production of digital twins to plan production; third stage is the implementation phase, building performance digital twins. Industry 4.0 Application Bosch Automotive Electronics factory in Suzhou conducted covering several aspects in the material tubeManagement, schedule production orders, equipment maintenance and maintenance personnel and other efficiency gains reflect benefits. In the production area, all stations, raw materials are in the orderly management of the state. According to production order, to achieve automatic device called material, accurate positioning and automatic robot to send material. Relying on large data collection and analysis is complete predictive maintenance. Shared knowledge base, visual communication systems to provide effective protection for the immediate maintenance. Achieve customized reports in a variety of terminals, provide the most timely and reliable data for the key employees for different scenarios. Elco company can for different industries, the actual needs of different enterprises, to provide information technology systems, including Elco cloud, manufacturing execution systems (MES), ANDON, SCADA, etc., and solutions. Based on mainstream hardware and industry standard protocols Elco production company, large data analysis by the Internet industry, enabling management and monitoring of personnel, equipment, materials, production processes, and the entire production process. In addition, relying on ElcoPad mobile intelligent terminal and industrial APP, customers can remotely monitor and manage the production, according to data analysis and reporting to make the appropriate decisions. Postscript: The above mentioned advantages of digital factory, domestic factories digitization issues and cases at home and abroad, also saw the industrial enterprises in the exploration and advancement of technology. But to build digital, critical personnel issues. Does the facility ready for the digital transition, as well as workers’ ability to adapt to changes in digital technology is the key to the investigation report factory digital transformation success pointed out to 2022, there may be five million jobs, the automation and machine instead. Then, the digital transformation of the plant will continue to accelerate. Avoid detour digital transformation occurs will fail 84% reduction CONTROL ENGINEERING China Copyright , on the one hand is the digital platform to promote enterprise technology; on the other hand is to create business-to-employee training, in the digital transformation of under the framework, good training skills, thinking consciousness control Engineering Copyright , so as to meet the needs of digital factory.