– Dynamic changes of attributes of things.
By «things» in IoT, the following objects are understood: sensors, controllers and other physical objects that were not originally intended to be connected to the network.
Each device in the IoT must be uniquely identified by:
– software and hardware provided for these devices;
– RFID tags, radio beacons, optical recognizable identifiers.
Currently, there are two main areas of implementation: Internet of Things (IoT) and Industrial Internet of Things (IIoT – Industrial Internet of Things). Despite the similarity of the basic concept, their functions and purpose differ.
In general, during the operation of the IoT, data is collected and accumulated necessary for further construction of objective forecasts, while with the help of the IIoT, the automation of technological processes of the enterprise is carried out using remote control of the main devices, depending on the standards and current readings of the main sensors and sensors.
The cloud platform of the industrial Internet of Things usually includes:
– standard sensors, sensors, actuators connected via unified connectors to the specified platform, which allow collecting, analyzing data and transmitting it over the network;
– network infrastructure combining heterogeneous communication channels;
– connectors (software and hardware) and platform access gateways providing unified access procedures and data formats;
– information systems designed to manage devices and communications, applications and analytics;
– applications and software that allow analytical data processing, the creation of predictive models and intelligent device management;
– storage systems for large amounts of data.
The main directions can be attributed to the industrial sector of IoT application:
– smart city;
– smart factories (smart factory, IIoT).
– smart warehouses;
– smart power grids;
– smart workplaces, etc.
Currently, in various Internet of Things projects, a connection can be built on the basis of technologies such as:
– information systems designed to manage devices and communications, applications and analytics;
– applications and software that allow analytical data processing, the creation of predictive models and intelligent device management;
– storage systems for large amounts of data.