Industrial Revolution
The Industrial Revolution transformed economies that had been based on agriculture and handicrafts into economies based on large-scale industry. The main features involved in the Industrial Revolution are technological, socioeconomic, and cultural.
Industry 1.0: Industry 1.0 refers to the mechanization of work that our ancestors used to perform manually in the period 1760 to 1830. Thus, it was after the introduction of steam that made the mechanization of work possible. For example, Weaving Loom, etc.
Industry 2.0: Industry 2.0 is the transformation which was brought about by the introduction of electricity in various processes. This made the use of assembly lines possible. The first electric assembly line was built in 1870.
Industry 3.0: Now industry 3.0 was a huge leap ahead wherein the advent of computer and automation ruled the industrial scene. It was during this period of the transformation era where more and more robots were used in the processes to perform the tasks which were performed by humans. For instance, Use of Programmable Logic Controllers, Robots, etc.
Industry 4.0: The fourth era of the industry is the era of Cyber-Physical Systems (CPS). CPS comprises of smart machines, storage systems, and production facilities capable of autonomously exchanging information, triggering actions. The Industrial Internet of things, IIoT for short in which thousands of sensors work real-time and transfer the data to a local server or a cloud server.
Source: Quora
Industrial Internet of Things
The Industrial Internet of Things refers to interconnected sensors, instruments, and other devices networked together with computers’ industrial applications, including manufacturing and energy management.
The convergence of cyber, digital, and virtual worlds with the physical world is one of the great promises of Industry 4.0. Industries for instance manufacturing, transporting, chemical, IT, embedded are at the edge of revolution using IoT with various technologies.
The key is IIoT, which simply defines machine intelligence and communication between multiple devices using the internet. Most importantly, IIoT deals with connectivity for smart factories, machines management systems. This has lead to innovations like smart factory and predictive technology. In addition, IIoT generates a massive amount of data, for example, a single turbine compressor blade can generate > 500 GB per Day. This includes Big data, cloud computing, machine learning as per the necessary requirements.
Internet of Things in Manufacturing
Industries like manufacturing embracing the potential of the Internet of Things. Basically, each object represents a node in a virtual network. Consequently, it continuously transmits a large volume of data about itself and its surroundings.
How does it work?
Basically, a combination of automation and the internet can offer possible solutions. An intelligent manufacturing organization contains four essential elements.
Products: Advanced sensors, controls, and software applications work together to obtain and share real-time information as finished goods make their way down the production line. Informed products will enable machines to take autonomous
action.
People: By connecting people across all business functions and geographies, and providing them with relevant information in real-time, informed people will provide intelligent design, operations, and maintenance, as well as higher quality service and safety.
Processes: By emphasizing bidirectional information-sharing across the global manufacturing value chain from supplier to customer, informed processes lead to a flexible and adaptable supply chain.
Infrastructure: Using smart infrastructure components that interface with mobile devices, products, and people, informed infrastructure will better manage complexities. It enables more efficient manufacturing of goods.
Source: Cognizant
Internet of Things with Augmented Reality in Industry
AR is an interactive experience of a real-world environment, where the objects that reside in the real world are enhanced by computer-generated perceptual information. IoT acts as a bridge between physical assets and digital infrastructure, while AR brings digital to life by interacting with the physical environment in real-time. Above all, It is an ideal overlay for the often-tortuous network architectures that characterize the industrial Internet of Things. E.g.
Enhancing Site Inspections
The real estate sector regularly uses AR to make properties more accessible. In addition, IoT tools with AR overlays might make it easier to view critical operating information within the proper context. For instance, a heads-up display could use visual alert icons to direct onsite personnel to faulty equipment.
Conclusion
In conclusion, as per the researches and developments regarding various technologies industries are sum up with economical and affordable solutions for testing, calibrating, and troubleshooting. These solutions include the Internet of Things as a major component for data-acquiring, data-logging, monitoring, analyzing, data-transmissions, and future decision making. Moreover, AR with IoT can be extrapolated to managing hazardous conditions as a result. Indeed, the list of possibilities is endless.
IIoT small-scale projects, for instance, drones to monitor oil pipeline sensors data, weather reporting, toxic gas availability, etc. IoT can be useful to make intelligent industries with more productive and efficient output with less man-power. In addition, Smart Parking, Bigbelly, and road, rail, air, sea logistics are good examples of IIoT. It can tremendously improve connectivity, efficiency, scalability, time-saving, and cost-saving for industrial organizations. In other words, apart from industries, IoT would make smart cities with the convergence of the latest technologies.
