The greatness of mankind lies in the fact that a lot of things can be done when we think of it. We compare the current state of science and technology with the endless imagination of yesterday's science fiction movies and novels. When it comes to smart manufacturing, the idea of ​​it is more or less portrayal of the future industrial landscape.
Big Data, Cloud Computing, Internet of Things, Emulation, Virtual Reality, Industrial Robots, Machine Vision, Artificial Intelligence, etc. will continue to be a must-have barrier for mankind to smart manufacturing, but it is my belief that these inevitabilities will eventually become a blockbuster Stepping stones to the other side.
What are the new trends in smart manufacturing?
1. Hybrid cloud technology continues to grow
Businesses moving to the cloud are no longer confined to a single cloud model and expect to leverage a proven public cloud service in combination with a private cloud to build a hybrid cloud that suits their business needs. More and more businesses choose to deploy this model because of the hybrid cloud's flexibility, the fast data recovery, and the assurance of specific data. The growth of hybrid cloud technology is at its forefront, mainly in the acquisitions of emerging vendors and vendors.
IBM acquired Cleversafe to support its hybrid cloud technology. Cleversafe, an earlier storage vendor, bundles Cleversafe's technology into IBM's cloud business unit; EMC targets large hybrid cloud customers such as North Texas, medical analytics firm Inovalon, In the extraction of resources, VMware and other companies under EMC's umbrella to strengthen the Federation Enterprise Hybrid Cloud hybrid cloud solutions.
2. Industrial Internet of Things network standards continue to evolve
The Industrial Internet of Things (IIoT) foreshadows a world of increasingly intelligent and ultra-interconnected devices and infrastructure that will have a variety of embedded sensing, processing, control and analysis capabilities for smart machines, transportation systems, and power grids. The emergence of new standards for time sensitive networks (TSNs) is intended to address some of the shortcomings of existing networks. The new TSN standard will bring the benefits of bandwidth, security, interoperability, latency and synchronization.
3. Intelligent factory development focused on breakthrough MBD technology, physical simulation engine system architecture, simulation model
With the development of 3D digital technology, the traditional experience-based simulation design pattern is gradually transformed into a virtual design pattern based on three-dimensional modeling and simulation, which enables the future intelligent factory through three-dimensional digital modeling, process simulation, three-dimensional visualization Process application to avoid the breakage of the information transmission chain in the process of developing the traditional "three-dimensional design model → two-dimensional paper drawings → three-dimensional process model", abandon the conversion between two-dimensional and three-dimensional, improve the efficiency of product development and design, and ensure the product R & D design quality. The future of our country should focus on breaking MBD technology, physical simulation engine system architecture, simulation model in three areas.
4. Future 5G will have more application scenarios to choose from
Last year, the International Telecommunication Union (ITU) held a working meeting, announcing a timetable for the standardization of 5G technology. According to the IMT-2020 plan proposed by the conference, the 5G standard will be completed in 2020 and the technical performance requirements of 5G will be gradually defined starting from 2016. Some experts said that 5G has more application scenarios than 4G communications, such as low power consumption of all things, high reliability, low latency applications such as intelligent driving scenarios require higher RF front-end. 5G mobile broadband has a higher rate. In the 5G spectrum, low frequencies are mainly used for wide area coverage and high frequencies for hot spot coverage.
Among Ericsson's five major application scenarios and approaches to 5G, one point is closely related to intelligent manufacturing. Emergency control of remote devices: The 5G application scenario mainly includes five sub-scenarios:
(1) remote control of the operation of heavy machinery;
(2) factory automation;
(3) Real-time monitoring of production equipment and processes;
(4) smart grid;
(5) remote surgery.
5. Industrial robots to develop new trends
As robotics mature, manufacturers and end users have begun to explore how to go beyond the initial strategic advantage. Current trends in industrial robots include: the need for cost-effective robots for high reliability and productivity; robots for high-performance applications such as water jetting and laser cutting, material handling, arc welding, gluing, deburring and pouring Angle, etc., whose control strategy is different from that of assembly; Coordinated robot coordination work where two or more robots work together on a workpiece held by a third robot, for example, arc welding; Robot vision-guided robotic control based on the machine vision system Of the "see" to control the robot trajectory, for example, grasping and alignment operations; to meet the functional safety of the robot, which is fail-safe operation and human coordination is very important.
6. Wearable technology into the enterprise market
At present, wearable technology mainly stays in the personal consumer market, and will gradually enter the enterprise market next year. In one test, logistics company DHL equipped its employees with smart glasses, resulting in a 25% increase in product pick-up efficiency. Juniper Research said in the report, smart glasses will be the first to enter the enterprise market. Subsequently, other wearable devices will also be followed up.
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