Although robots have replaced most of the work, it does not amount to artificial intelligence, because most robots currently do a set of actions set by humans. The ultimate goal of the development of artificial intelligence is to enable machines to think, judge, and solve complex problems like humans.
Second, the prospect of printing intelligent manufacturing
01 More efficient automation technology
02 Innovative human-computer interaction mode
Computer screens, and even more primitive displays, still dominate the industrial landscape, but that's changing. Augmented reality applications can provide more valuable feedback when looking at device components and provide employees with IoT-derived information about manufacturing equipment, enabling companies to better manage and maintain it. Virtual reality can also provide powerful visualizations for workers using more traditional technologies.
03 Better predictive maintenance
Predictive maintenance has been playing an increasingly important role in industrial environments for many years, and the continued growth of iot components also provides more information than ever before. In combination with machine learning and other artificial intelligence tools, modern industrial software is much more effective than in the past, relying on personal experience to determine when equipment parts need to be replaced.
Relying on the Internet of Things and artificial intelligence, real-time monitoring of printing-related equipment, timely maintenance and maintenance, so that the machine to avoid failure. Unlike other technologies, the benefits of predictive maintenance are easy to calculate. As an industrial iot technology, predictive maintenance is bound to become an excellent assistant for future industrial managers.
04 Self-service network printing
The concept of network printing has long been proposed, with the support of the network, printing companies can not only break through the limitations of time and space, the tentacles of marketing to a broader field, low-cost, automated, efficient to provide customers with 24 hours of uninterrupted service, but also to maximize the collection of fragmented personalized needs from end consumers. Make it a useful complement to existing sources of business.
In the application market, the number of printing companies involved in network printing is increasing, but it must be admitted that there are few winners, how can we recognize the nature of network printing, establish enterprise automated pre-press process and standardized operating norms. The self-service network printing is like the current e-commerce platform, after all the personalized parameters of the customer are selected, the production begins and is sent to the customer.
05 Integration of upstream and downstream printing enterprises
For printing enterprises, the first stage of intelligent development is to realize the full intelligence of enterprises. Imagine, the future printing enterprises, from raw material management, pre-press plate making, printing production, post-press processing, printing quality management to the final delivery are intelligent. Manual to do may finally only two words "choice", choose what kind of paper, what kind of ink, what kind of process and so on. The second stage of intelligent production may take a long time to achieve and is accompanied by the continuous integration of resources.
Relying on the development of big data, cloud computing, Internet of Things, machine sharing, etc., not only the printing industry can be integrated in the future, avoiding the excess of the entire printing industry, maximizing benefits, maximizing efficiency, and there will also be upstream and downstream resource integration. For example, the use of big data can predict the number of incoming students and the demand for teaching materials, and then, through big data and cloud computing, you can more accurately know the market demand, and integrate printing from upstream papermaking and ink production to a set of resources after printing.
Three summaries
Intelligent printing factory is not for a single equipment, a technology upgrade, but the overall, system comprehensive upgrade, is the deep integration of information technology and manufacturing industry, integrated innovation of fundamental change. It combines modern information and communication technology with network technology and artificial intelligence technology, through the cooperation of intelligent production equipment, intelligent logistics, warehouse management system, industrial robot system integration, cloud service platform, green energy-saving equipment, manufacturing execution system and other key technologies.
The traditional printing industry is very dependent on the number of manual, pre-press, printing, post-press, logistics and other links need a large number of manual operations, the transfer between each link, the connection brings huge labor intensity and the working environment of employees has been the problem faced by the printing industry.
With the continuous development of the Internet of Things and artificial intelligence technology, intelligent printing factories can connect all aspects of traditional printing together for unified and coordinated management. At the same time, each link will gradually reduce the need for labor. Finally, printing enterprises will realize the digitalization and intelligent control of all equipment, the automation and unmanned operation of transportation and logistics, as well as the information and real-time interaction of production management, so as to improve quality and efficiency, reduce loss and labor intensity, reduce the number of personnel, and reduce costs.
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