The Industrial Internet of Things (IIoT) connects machines, cloud computing, analytics, and employees to improve the efficiency of industrial processes. With IIoT, industrial companies can digitize processes, modify business models, and improve productivity and efficiency while reducing costs.
Historically, equipment maintenance has focused on solving problems after they arise. Now is the time to implement predictive analytics, to understand where problems will arise from sensor data, and eliminate them in advance.
The Internet of Things will help improve important business processes: asset tracking, data collection, building business models, and many others.
Given the global crisis, due to the pandemic, some industries are completely paralyzed, while others, on the contrary, are flourishing and have shown significant growth, relevance and demand. For such an industry as IIoT, this time can provide new incentives for development, open up new horizons. In conditions of “human isolation”, the importance of remote monitoring, reliable online collection of information, allowing to minimize the participation of people in inspection work, can hardly be overestimated.
According to David Holden, Chief Commercial Officer of Orange Business Services, “The big plus of IoT solutions is that they allow you to exclude people from hazardous operations in production or to get rid of routine activities, allowing you to control them remotely. In the context of the coronavirus pandemic, this can become one of the factors in ensuring the continuity of production and business processes, ”he says.
A tangible increase in the use of the “Internet of Things” is observed in enterprises with a large machine tool park. IIoT successfully helps to solve different types of tasks, on completely different types of production, but recently there has been an increasing demand for solving complex tasks of monitoring asset performance and predictive diagnostics in discrete production, and, no less important, there is an understanding of manufacturers from the segment processes – says Dmitry Krysenkov, technical director of Winnum.
The Internet of Things is most widely used in the energy sector, where new solutions are introduced in the first place. We also observe the successful application of the industrial “Internet of Things” in the transport industry, in mechanical engineering. Good prospects in such industries as: financial, oil and gas, as well as in large-scale production. But the potential of the Internet of Things is very wide and over time, more and more industries will use these technologies.
It is not enough to collect IoT data – the business will have to learn how to process it quickly.
Smart equipment connected to the internet will produce massive amounts of time-stamped data that companies must collect and analyze. In doing so, the element of time will be critical for the analytics of such data.
The volume of data from IoT devices will grow, so their processing will “go” to the clouds
IoT technologies will develop along with cloud technologies, that is, cloud platforms, thanks to which users of the industrial Internet of things can more easily embed it into business processes and receive reliable data
Industrial IoT will be implemented on a global scale – in hundreds of factories and plants around the world
Industrial IoT will go beyond pilot projects, such solutions will begin to be implemented on a global scale. Over the past few years, many Fortune 500 companies, such as Mitsubishi, have tried IoT projects, and now the processes will go into production. IoT implementation usually starts at one plant, now it’s time to scale the developments to dozens and hundreds of factories around the world.
An example is Starbucks that uses neural networks to adjust marketing strategy and engage shoppers. Artificial intelligence divides shoppers into segments based on age and preference. This allows for an extremely personalized approach to consumers. The result was not long in coming: over the past year, Starbucks’ profits reached $ 2.56 billion.
Blockchain and machine learning will pump the internet of things
Due to the risk of data leakage, companies can be expected to focus on innovative methods of secure data exchange, possibly using blockchain.
Also, more and more enterprises will use machine learning models to predict and prevent disruptions. Machine learning will become more automated, companies will connect ever larger capital assets to cloud ML platforms, integrate clouds and IoT devices to work more efficiently with data.
Asian IoT Demand Expected to Surge
There is a huge demand for IIoT in countries such as China, Japan, India and South Korea, driven by significant growth in end users. The growing commercialization of IoT applications in these developing countries is driving the entire IIoT market forward. Also in this region, the introduction of the Internet of Things is encouraged at the state level.
5G will make the fantastic cities of the future a reality
The emergence of 5G, LPWAN protocols such as LTE-M and NB-IoT, and the densification of existing LTE networks will enable smart cities to introduce smart technologies that improve the lives of citizens. These are CCTV cameras, efficient traffic management, smart street lighting, garbage collection and buttons for immediate response to emergency situations. What was impossible a year or two ago will become reality this year
Hinders the introduction of innovations – lack of expertise, lack of understanding of the goals set, blinkered thinking.
As innovative technologies continue to gain traction in the industrial space, it is natural that the relationship between man and machine will become increasingly intertwined. Automated technology and humans will eventually be able to work side by side, increasing efficiency and accuracy.
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