دانلود کتاب فناوری‌های تعبیه‌شده لبه هوشمند برای دیجیتال‌سازی صنعت

Industrial intelligent edge systems are designed with more computing power and sensors to enable analytics, AI inferencing, and natural user interfaces. These new capabilities enhance their behaviour and provide new functionalities based on sensing, actuating, programming, and connectivity to dynamically interact and autonomously function. Intelligent edge architectures are complementary to embedded systems, bringing scalable computing nearer to resource-constrained embedded systems and enabling these systems to leverage more complex, computingintensive processes (including machine and deep learning), and local processing of real-time and historical data. Intelligent edge devices are often resource-constrained by design. Such fixed-function systems are highly optimised for performance (speed, reliability, safety) and cost. By making additional computing resources available to these systems, intelligent edge deployments enable diverse decision-making processes in the local industrial environment. These include system-level optimisations across devices, changes to the programming of specific devices, and other forms of control.