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Industry 4.0: The Industrial Internet Of Things

Developing smart factories provides an incredible opportunity for the manufacturing industry to enter the fourth industrial revolution. Analyzing the large amounts of big data collected from sensors on the factory floor ensures real-time visibility of manufacturing assets and can provide tools for performing predictive maintenance in order to minimize equipment downtime.

Industry 4.0: The Industrial Internet of Things

Digital value accelerators provide a process and data structure that cover industry 4.0 and IIoT innovation and rollout, creating datasets that can be analyzed to continuously improve and accelerate digitalization in industrial environments. AI-powered recommendation engines can propose solutions to operators or give solution designers hints on how to improve their concrete technological stack

Throughout this, fundamental shifts are taking place in how the global production and supply network operates through ongoing automation of traditional manufacturing and industrial practices, using modern smart technology, large-scale machine-to-machine communication (M2M), and the internet of things (IoT). This integration results in increasing automation, improving communication and self-monitoring, and the use of smart machines that can analyse and diagnose issues without the need for human intervention.[9]

On 10 October 2016, the Forum announced the opening of its Centre for the Fourth Industrial Revolution in San Francisco.[14] This was also subject and title of Schwab's 2016 book.[15] Schwab includes in this fourth era technologies that combine hardware, software, and biology (cyber-physical systems),[16] and emphasises advances in communication and connectivity. Schwab expects this era to be marked by breakthroughs in emerging technologies in fields such as robotics, artificial intelligence, nanotechnology, quantum computing, biotechnology, the internet of things, the industrial internet of things, decentralised consensus, fifth-generation wireless technologies, 3D printing, and fully autonomous vehicles.[17]

In essence, the Fourth Industrial Revolution is the trend towards automation and data exchange in manufacturing technologies and processes which include cyber-physical systems (CPS), IoT, industrial internet of things,[22] cloud computing,[23][24][25][26] cognitive computing, and artificial intelligence.[26][27]

The Fourth Industrial Revolution fosters what has been called a "smart factory". Within modular structured smart factories, cyber-physical systems monitor physical processes, create a virtual copy of the physical world and make decentralised decisions.[38] Over the internet of things, cyber-physical systems communicate and cooperate with each other and with humans in synchronic time both internally and across organizational services offered and used by participants of the value chain.[23][39]

The increasing use of the industrial internet of things is referred to as Industry 4.0 at Bosch, and generally in Germany. Applications include machines that can predict failures and trigger maintenance processes autonomously or self-organised coordination that react to unexpected changes in production.[74] in 2017, Bosch launched the Connectory, a Chicago, Illinois based innovation incubator that specializes in IoT, including Industry 4.0.

The industrial Internet of Things is already improving the manufacturing industry by giving manufacturers, more visibility throughout the manufacturing process and by making data immediately available to multiple data consumers and applications.

Conferences, media, vendors, automation industry consultants, business consultants, and even politicians are discussing and making presentations about how the Internet of Things (IoT) and Industry 4.0 are creating a revolution in manufacturing. I am convinced we are at a juncture of major industrial automation changes driven by technology advancements. The digital revolution of business functions, including accounting, supply chain, human resources, procurement, customer services, business intelligence, and distribution management, has been refined over multiple generations. In contrast, the industrial and process automation industries have not transformed at the same rate. They must be digitized now for manufacturers to compete. At the end of this article I have the results of a small survey of readers that may be interesting. I asked if they are familiar with IoT and Industry 4.0 as they relate to manufacturing.

Among other things, this comment points out cybersecurity concerns of applying these technologies broadly and a concern for the lack of understanding by IT people for the precision and reliability required in industrial automation.

Industry 4.0 is the information-intensive transformation of manufacturing (and related industries) in a connected environment of big data, people, processes, services, systems and IoT-enabled industrial assets with the generation, leverage and utilization of actionable data and information as a way and means to realize smart industry and ecosystems of industrial innovation and collaboration.

The difference between Industry 4.0 and the Industrial Internet, however, is that, originally, the Industrial Internet was seen as the third industrial innovation wave. So, a third wave of innovation instead of a fourth revolution in the industry.

Next generation presses and tooling equipment, evolutions in Manufacturing Execution Systems, new CAD and CAM applications, shaping materials, digital platforms and industry clouds, smart assets, customer-driven design possibilities through virtual reality, crowdsourcing and product virtualization, the list of what is changing and yet to come is long. However, as per usual not everything will be relevant for everyone. More about the mentioned predictions and the evolutions in operational technology and industrial technologies used in manufacturing, in combination with IT via the button below.

Today, mobile devices are a main part of advanced industrial systems. With the rapid development of many technologies related to cyber-physical systems (CPS), there is a crucial need to produce high-performance mobile platforms for use in different aspects of industrial informatics, using computational intelligence and distributed, scalable, and adaptive computing. Some applications of mobile computing and communications include Industrial Internet of Things (IIoT), aerial unmanned networked vehicles (internet of drones), vehicular networks, remote sensing and surveillance systems, and intelligent transportation systems (ITS).

Continuing the evolution towards Industry 4.0, the industrial communication protocols represent a significant topic of interest, as real-time data exchange between multiple devices constitute the pillar of Industrial Internet of Things (IIoT) scenarios. Although the legacy protocols are still persistent in the industry, the transition was initiated by the key Industry 4.0 facilitating protocol, the Open Platform Communication Unified Architecture (OPC UA). OPC UA has to reach the envisioned applicability, and it therefore has to consider coexistence with other emerging real-time oriented protocols in the production lines. The Data Distribution Service (DDS) will certainly be present in future architectures in some areas as robots, co-bots, and compact units. The current paper proposes a solution to evaluate the real-time coexistence of OPC UA and DDS protocols, functioning in parallel and in a gateway context. The purpose is to confirm the compatibility and feasibility between the two protocols alongside a general definition of criteria and expectations from an architectural point of view, pointing out advantages and disadvantages in a neutral manner, shaping a comprehensive view of the possibilities. The researched architecture is meant to comply with both performance comparison scenarios and interaction scenarios over a gateway application. Considering the industrial tendencies, the developed solution is applied using non-ideal infrastructures to provide a more feasible and faster applicability in the production lines.

These virtual copies can then be created in the real world and linked, via the internet of things, allowing for cyber-physical systems to communicate and cooperate with each other and human staff to create a joined up real time data exchange and automation process for Industry 4.0 manufacturing.

The Open Platform Communications Unified Architecture (OPC UA) is a global industry standard that ensures the open connectivity, interoperability, security, and reliability of industrial automation devices and systems and enables manufacturers to get a head start on transforming their assets into smart factories.

The manufacturing and many other critical Infrastructures industries are posed to introduce the initiative popularly known as Industry 4.0 or industrial Internet of things. In developed nations, Industry Internet of thing technologies have already been implemented in varieties of industries like health care, logistics, avionics, waste management, military, smart cities and many other fields. So far, the initiative has provided various benefits that include improved efficiency, productivity and cost reduction. However, the prospective transformation of Internet of things Technology would see some change in the way companies approach manufacturing and other industries in terms of in-house software development, security design and implementation. Considering the fact that Industry 4.0 belong to the family of critical infrastructures, ICT application development, security design and implementation will always be complex, costly, large in scope, involves heterogonous network of things that encompasses dealing with a diverse set of Technological components. This complexity may result in misconfiguration, misappropriation and misconception of facts on part of users, software developer and security architects. For this reason, this paper details information technology component of Industry 4.0 framework with an objective to amplify and clear misunderstanding of key terminologies and the basic composition of industry 4.0 framework. The study also highlights industrial Internet of things prospects and barriers and articulates effective requirement elicitation process for application customization, development, and technological fusion and Security solutions implementation. The methodology of this paper is based on two research techniques namely literature review and a study on application scenarios from research communities and industries. Because of these, simple and effective model for requirement engineering is proposed. 041b061a72


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