Internet of Things

(IoT)

The definition of the Internet of Things has evolved due to the convergence of multiple technologies including: real-time analytics, machine learning, intelligent sensors, and embedded systems.

The IoT's major significant trend in recent years is the explosive growth of devices connected and controlled by the Internet.

The IoT creates opportunities for more direct integration of the physical world into computer-based systems, resulting in efficiency improvements, economic benefits, and reduced human exertions.

According to McKinsey & Company, the number of businesses that use the IoT technologies has increased from 13 percent in 2014 to about 25 percent today. And the worldwide number of IoT-connected devices is projected to increase to 43 billion by 2023, an almost threefold increase from 2018

The extensive set of applications for IoT devices is often divided into consumer, commercial, industrial, and infrastructure spaces. At D2K we are currently Focused on Industrial and related applications (IIoT).

With IIoT we are able to realize the seamless integration of various manufacturing devices equipped with sensing, identification, processing, communication, actuation, and networking capabilities. Based on such a highly integrated smart cyber-physical systems, it opens the door to create whole new business and market

opportunities for our manufacturing partners. The need for advanced network control and management of manufacturing equipment, better asset and situation management, or improved manufacturing process control bring the IIoT within the current realm of industrial applications and smart manufacturing as well. The IIoT intelligent systems enable rapid manufacturing of new products, dynamic response to product demands, and real-time optimization of manufacturing production and supply chain networks, by networking machinery, sensors and control systems together.

Digital control systems to automate process controls, operator tools and service information systems to optimize plant safety and security are within the purview of the IIoT. But it also extends itself to asset management via predictive maintenance, statistical evaluation, and measurements to maximize reliability. Industrial management systems can also be integrated with smart grids, enabling real-time energy optimization.

SC Design architecture of cyber-physical systems-enabled manufacturing system

Industrial big data analytics also plays a vital role in manufacturing asset predictive maintenance. Cyber-physical systems (CPS) is the core technology of industrial big data and it is an interface between human and the cyber world. D2K Cyber-physical systems are designed by following the 5C architecture, Introduced by IMS Center for Cyber-Physical Systems in Manufacturing in 2015. This basic architecture transforms the collected data into actionable information with the physical assets to optimize processes.