Internet of Things


The definition of the Internet of Things has evolved due to the convergence of multiple technologies, real-time analytics, machine learning, commodity 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.

The number of IoT devices increased 31% year-over-year to 8.4 billion in the year 2017 and it is estimated that there will be 30 billion devices in 2020.

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 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 space, it opens the door to create whole new 
business and market opportunities for our manufacturing partners. Network control and management of manufacturing equipment, asset and situation management, or manufacturing process control bring the IIoT within the 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.
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 (connection, conversion, cyber, cognition, configuration) architecture, and transforms the collected data into actionable information, and with the physical assets to optimize processes.