Читать книгу Industrial Internet of Things (IIoT). Intelligent Analytics for Predictive Maintenance онлайн

40 страница из 122

In IoT, it is consistent with an environment whose rules deal with both connection and intelligent data collection and processing, since applications allow the coordinated and intelligent use of devices to control various activities, from monitoring with cameras and sensors to managing spaces and of productive processes. The IoT ecosystem is a system composed of a digital space of interaction including digital tools related to data analysis and modeling, as well as digital elements that integrate and interact within it. It is through these interactions and the exchange of information that AI allows these elements to work in an integrated manner, composing an intelligence potential far superior to what each of its elements has separately. The IoT ecosystem involves different agents and processes, such as smart objects [sensors, appliances, cars (ssss1), and factory automation equipment], smart modules (processors and memories), connectivity services (access to the internet or private networks that connect these devices), integrators (systems that combine applications, processes, and devices), enablers (control systems, collection, and processing of data and commands involving objects), and even providers of IoT services [45, 46].