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Gear transmissions are relatively simple mechanisms whose quality, price, delivery time and design appearance are almost equal. This is the common reason why it is very difficult for all gear manufacturers to ensure the successful placement of their products on the market. However, regardless of their simplicity, gear transmissions may have different design and technical solutions, and due to different limitations of individual components, the calculation of load capacity and other technical characteristics can be quite complicated. In accordance with the basic settings of Industry 4.0, smart transmissions are being developed that will be able to provide a certain advantage over the competition and thus, for sure, ensure the successful business of these innovative companies. This paper describes the basic principles of construction using new technologies, primarily using the Internet of Things and digital twins. The paper includes an analysis of approaches to the creation of Digital Twins. Describe why Industry 4.0 is so different and specific, define what is Cyber-physical systems and the Internet of Things, and what is predictive monitoring with using different sensors. [ABSTRACT FROM AUTHOR]

Environmental monitoring is extremely important due to recent changes in climate, for ensuring a safe and wealthy life of both humans and artifacts. This field is based on remote sensing and wireless sensor networks for gathering data about the environment. Recent advancements, such as the vision of the internet of Things (IoT), the cloud computing model, and cyber-physical systems, give support for the transmission and management of huge amounts of data relating to the trends determined in environmental parameters. In this context, the paper presents three different IoT-based wireless sensors for weather prediction and environmental monitoring: one employing User Datagram Protocol (UDP)-based Wi-Fi communication, second communicating through Wi-Fi and Hypertext Transfer Protocol (HTTP), and third one using Bluetooth communication. The System consists of three different wireless sensor nodes based on Node MCU wifi module or Arduino microcontroller that is connected to the internet, and a firebase cloud server which provides information storage and delivery to remote clients. In addition, to view the result output in effective and user friendly manner MIT App Inventor is used to develop applications for Android phones using a web browser and either an associated phone or an on-screen phone person. The System conducts a look up table which contains the values of temperature, humidity, real time rain and level of carbon monoxide is used to predict the current environmental conditions by comparison of data. [ABSTRACT FROM AUTHOR]