Digital twin for healthcare, finance, agriculture, retail, manufacturing, energy, and transportation industry 4.0, 5.0, and society 5.0

摘要

Digital twins, virtual replicas of physical systems, combine real-time data, advanced analytics led by Artificial Intelligence (AI) to improve operations, forecast failure and create new products. Digital twins add value to manufacturing processes using smart automation in the industry 4.0 era and this aids predictive maintenance, real-time monitoring, and integration of Internet of things (IoT) devices. This results in more throughput, less down time and saves a bundle of money. Automation is easing transitions into Industry 5.0, where digital twins will further human-machine collaboration through individualized manufacturing and worker safety. With AI and robotics, digital twins can adaptively learn and interact between users and machines, enabling a high-rate of innovation and customization. If the concept of digital twins can be further broadened to social systems., such as individual people and industrial systems in Society 4.0 becoming part of Society 5.0, this eventually leads to a concept of Society 5.0. Healthcare applications includes digital twins of human patients for personalized medicine and continuous health monitoring and predictive maintenance of health. In addition, digital twins help to improve environmental sustainability by simulating ecosystems and forecasting the effects of global climate change for strategic planning on wildlife conservation. Digital Twins in association with AI, IoT, Big Data analytics catapult the road from Industry 4.0 to Society 5.0 The integration of these systems not just improve industrial productivity, rather it also helps the society to uplift their living standards and contribute to building a sustainable and smart future.