Industrial Internet of Things (IIoT) is a system that integrates complex machines with high-end software programs and sensors for analyzing data to increase productivity and reduce operational time and costs. IIoT systems differs from Internet of Things (IoT) systems. Failure in IIoT systems would lead to disastrous situations where as in IoT systems the failure would barely lead to emergency situations.
IoT systems are designed at consumer level device such as smart home appliances, automatic pet feeders and wearable fitness devices. IIoT systems comprises of industrial machines such as health monitors and manufacturing machines deployed at industrial and manufacturing sites. IIoT incorporates machine learning, big data technology and Machine to Machine Communication (M2M).
Machine learning is a type of artificial intelligence that enables computers with self-learning without being programmed. Big data technology is an emerging technology that incorporates any volume of data which can be converted into useful information. M2M Communication can be defined as direct communication between machines using any communication channel such as wired and wireless. The industrial machines in IIoT are connected through a communication software to collect, analyze, monitor and exchange information amongst themselves without any human intervention.