What is Internet of Things or IoT?
The term Internet of Things, in short: IoT, describes that the computer in the networked world is increasingly being supplemented by intelligent physical objects such as electronic sensors, wearables, household items, cars, control systems and industrial systems. At the same time, computers, as well as these physical objects, are increasingly self-learning and acting, ie with so-called AI, artificial intelligence; short form: AI.
In order to unambiguously identify these objects they must be automatically identifiable. This is done either by fixed IP address or EAN or 2D codes or by RFID. In the Internet of Things, objects learn to acquire states via a sensor and, if necessary, to perform them by means of actor action. The execution of actions is a major challenge in terms of hardware to an IoT object. If they have their own storage and they have their own software logic, objects can also be self-learning.
Basic for IoT
IaaS cloud infrastructures and platforms are part of IoT's core foundation, providing scalability, strategic deployment and high availability as well as robustness and device management capabilities to meet the most demanding requirements of the Internet of Things and serve as its backend.
The main purpose of the Internet of Things is that real objects collect information on their own state or its environment, for further processing via a network such as the Internet, this information is processed centrally and these objects receive feedback. The information gained in this way makes it easier to carry out early detection, to recognize the need for maintenance, to calculate optimization requirements, to create early warning systems or to control the object or its environment in order to ensure or optimize its running capability. Key words: Predictive maintenance and re-parameterization or calibration. A built-in microcontroller takes the necessary computing power on the spot and uses directly integrated memories and peripheral functions; Microcontrollers are often retrofitted with a so-called system-on-a-chip.
In a business-oriented employment environment, value creation must be achieved with IoT. The main starting point for additional value creation of the Internet of Things are the data generated by networked objects; also called Big Data. These data are collected, harmonized, analyzed and converted into information that helps to reduce operating costs, make services more flexible to the customer, and enable the development of new goods and services. If machines process this information independently, the area of Machine Learning is developed.