The development of the Internet of Things has mainly gone through three stages. In these three stages, market, security, manpower and M&A are the four major factors that affect his development. In the next decade, the number of people entering the global consumer class will double, the terminal equipment will be connected to the Internet, and the devices will be connected to each other. The manufacturing industry will face transformation, and the Internet of Things platform and the rise of fog computing will promote the rapid development of the Internet of Things.
In recent years, Industry 4.0 has been a topic of constant concern for all manufacturing industries and planned practices. We have heard a lot of technical keywords, new technology drivers, from Big Data a few years ago to Industrial IoT and 3D PrinTIng new technology in the past year. Almost all manufacturing customers talk to us about AI artificial intelligence.
In so many Industrial 4.0 drivers, Intel has observed that four major factors are driving digital transformation, including markets, security risks, manpower, and commercial consolidation and restructuring.
Four major drive-oriented transformationsAccording to the survey, the number of global consumers entering the consumer class will double in the next decade; global middle class consumption will increase from $21 billion in 2010 to $57 billion in 2030, most of which will come from emerging countries. This market factor has made factories more efficient, and the only way to increase productivity, yield and product quality is to introduce IoT technology at the factory, get data from processes, production tools, products themselves, and improve manufacturing. Competitiveness and transformation into a commercial advantage.
Because most of the important infrastructures of factories and utilities around the world use OT systems, they can quickly connect to network-connectable sensors and controllers. In the process of rushing to the automation system, the control environment may be exposed to hackers with a little carelessness. In particular, many devices and machines are now IP-based and connected to the network, and the attack surface is exposed, resulting in more security risks. high. The worm, Stuxnet, which was discovered to specialize in PLC in 2010, undermined the Iranian nuclear energy program, which is a very obvious example.
â–² The only way to increase productivity, yield and product quality is to introduce IoT technology at the factory to increase competitiveness in the manufacturing industry and turn it into a commercial advantage.
Human factors are also a big problem. Manufacturers lack talent with security, cloud, industrial communications and data analytics. In addition, many manufacturing experts have retired, leading to brain drain in the industry. In addition, as more and more mergers and acquisitions between large companies and startups, such as ABB's acquisition of B&R Industrial Automation (B&R) is an example. The realization of the Internet of Things has given many opportunities for startups. Industrial IoT startups have invested more than US$2.6 billion in 2016. According to CBS Insights, the Industrial Internet of Things has grown for the fourth consecutive year in 2016, with 321 completed. The transaction amounted to more than $2.2 billion.
Different vertical systems evolve in different stagesIn view of the above-mentioned manufacturing transformation trend, Intel believes that the evolution of the Internet of Things can be divided into three phases, one, connecting the systems in series; Second, the intelligent interconnection object not only connects the terminal devices to the network, but also connects the devices to each other, the terminal The device therefore has sufficient computing power to perform local analysis and local operations; third, autonomous and software-defined capabilities are added to the system to provide a truly automated software-defined experience.
According to the vertical system of manufacturing, the stage of evolution of the Internet of Things is also different. For example, the semiconductor manufacturing industry is in the second stage. Under the SECS/GEM standard, most of the equipment is connected. The textile and garment industries are still in the early stage of the first stage. They use boilers to process raw materials but no digital temperature sensors. Shuttle between the plants to manually measure the temperature, and record data on paper.
Manufacturing IoT solutions also need to consider special constraints, including interoperability, long life cycle, reproducibility, functional safety, intermittent disconnected networks, service continuity, and easy accessibility, as well as local and National norms.
Intel leverages deep experience in computing power and communications to help manufacturing face up to relevant technology and business challenges, providing OT/IT integration, security and trusted solutions to reduce risk; standardization, open architecture and system interoperability Reduce costs; streamline operations through system interoperability and integration; and achieve reusability and scale.
Internet of Things platform and the rise of fog computingThere is a trend in today's manufacturing industry that separates separate subsystems in factory equipment and shapes a single computing platform to manage multiple applications for industrial equipment; for example, a factory machine usually contains many computing devices, such as single or Multiple machine controllers, programmable logic controllers (PLCs), human machine interfaces (HMIs), machine vision devices, data capture devices, safety controllers, and more. Device manufacturers are gradually incorporating many functions into a single, more efficient computing device while producing the system. The future development of manufacturing IT and OT systems is in progress, and the dynamics of the smart factory architecture to Fog CompuTIng include:
• Expect to reduce the hardware necessary to operate to reduce cost and space requirements.
• Real-time control is also possible when performing non-real-time jobs.
• Take advantage of next-generation processors for more efficient processing speeds.
• Analysis Engine and Machine Monitoring can coexist on the same platform.
• Easily implement virtual and physical system security.
As the world's largest semiconductor manufacturer, Intel is very familiar with the manufacturing industry. It is developing a technology to run machine learning through vibration analysis. The advantage is that it can have the detection capability, before the production line fails. Alerts can cause the device to be abnormal.
From the factory floor of the manufacturing plant to the facilities of the office building, this technology will greatly affect Intel's maintenance of many equipment, whether it be pumps, fans, motors or any operating equipment, we estimate that not only will it be known immediately A possible problem can better grasp the problem itself, such as orientation, calibration, balance, etc. The technology will also integrate Intel's existing warning mechanisms to help technicians know when the problem occurred and take appropriate action. After further integration, it can better coordinate the operation sequence and component ordering, and improve real-time maintenance and resilience.
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