TRENDS AND PROSPECTS OF DIGITAL TWIN TECHNOLOGIES: A REVIEW

© Quantum Journal of Engineering, Science and Technology (QJOEST). This is an open access article under the CC BY-NC-ND licence, https://creativecommons.org/licenses/by-nc-nd/4.0/The plethora of technologically developed software and digital types of machinery are widely applied for industrial production and the digitalization of building technologies. The fourth industrial revolution and the underlying digital transformation, known as Industry 4.0 is reshaping the way individuals live and work fundamentally. However, the advent of Industry 5.0 remodels the representation of industrial data for digitalization. As a result, massive data of different types are being produced. However, these data are hysteretic and isolated from each other, leading to low efficiency and low utilization of these valuable data. Simulation based on the theoretical and static model has been a conventional and powerful tool for the verification, validation, and optimization of a system in its early planning stage, but no attention is paid to the simulation application during system run-time. Dynamic simulation of various systems and the digitalization of the same is made possible using the framework available with Digital Twin. After a complete search of several databases and careful selection according to the proposed criteria, 63 academic publications about digital twin are identified and classified. This paper conducts a comprehensive and in-depth review of this literature to analyze the digital twin from the perspective of concepts, technologies, and industrial applicationsPeer reviewe

AN IOT BASED WEATHER STATION USING AN EMBEDDED SYSTEM

© 2022, Emerald Publishing Limited. This is an open access article under the CC BY-NC-ND licence. https://creativecommons.org/licenses/by-nc-nd/4.0/This paper is about the development of an internet-based weather station system to monitor temperature, humidity, light intensity and predict the possibility of whether it will rain or not. The realtime monitoring system was connected to a microcontroller embedded with a Wi-Fi module (NodeMCU/ESP8266), a temperature and humidity sensor (DHT 11), and a light-dependent resistor (LDR). This device is designed as a platform to provide adequate information for immediate and future weather forecasts. The measured parameters are sent to an open-source IoT analytics platform (ThingSpeak), recorded in the channel, and were downloaded for analysis purposes. The temperature and humidity level were monitored using the Things View Android application and can be accessed by anybody once given the Thing Speak channel ID. Weather data was easily viewed and it can aid in appropriate planning. This IoT-based system will help keep up with the demand of the ravaging global warming with the provision of real-time data for planning towards land preparation and crop planting and for other purposes that are weather dependent.Peer reviewe