The integration of the Internet of Things, Cyber-Physical Systems, Signal processing, and machine learning techniques is the key indicator of advanced automation in different industries. This is aimed at reducing machine downtime while enhancing product quality, improving system efficiency, and operating service performance with human unique values and a healthy workforce. This ecosystem that consists of physical devices, cyber components, transformation diagrams, and human-unique value ladder blockchains requires infrastructures with effective communication and digital transformation protocol.

This will ensure seamless network connectivity and service operation that leads to economic utilization of resources, and sustainable business requirements management through the interaction of physical and virtual resources with employees and customers towards maximum achievable revenue and retention.

It is important to note at this point that, it is difficult to perform new tests on physical devices and assessment of revenue and retention without prior information from a personal story, optimize the quality and parameters while identifying the reliability of the physical device, satisfaction of employees, and customer experience. A digital representation and transformation of this device with the human experience like a digital twin are therefore very essential to provide a long-lasting solution.

The digital twin of the system quality and effectiveness, as well as the efficiency of the operating system in businesses, portrays the life of the system with the help of data gathered from the physical device in real-time. The digital twin is a package of different product and service business requirements as well as customer requirements, where each requirement performs an intended task that provides specific information about the device. The task performed by various requirements identifies disturbances, churns, and stress in the process assessment of the reliability of the critical components of the device while sending alarms occurring in real-time. This includes intelligent integration techniques with a story formula and inheritance program for the prediction of faults, revenue, retention, and cost-effective integration techniques for the control of all the business requirements and outcomes.