Advancing Smarter and More Secure Industrial Applications Using AI, IoT, and Blockchain Technology by Saini Kavita

Author:Saini Kavita
Language: eng
Format: epub
Publisher: Engineering Science Reference

Smart manufacturing, which is also the cornerstone of the smart factory, lies at the heart of modern production and manufacturing in terms of digitalization. Massive terminal devices and facilities are digitalized and connected in the smart manufacturing process using information technologies (IT) such as radio frequency identification (RFID), WiFi, ZigBee, and 5G. The continual contact and interoperation of various devices generates a massive data stream with a variety of data processing needs, such as enormous data volume, unstructured data type, and minimal time delay. Manufacturing, computing, virtualization, communication, data management, and other technologies are all integrated into smart manufacturing. Because of the interoperability of multiple technologies, the scope of smart manufacturing technologies has expanded, resulting in cost-effectiveness, time-savings, easy configuration, improved understanding, quick reaction to market demand, flexibility, and remote monitoring.

Machine speed prediction can be used in smart factories to dynamically change production processes based on various system variables, improve production throughput, and reduce energy consumption. Authors(Essien & Giannetti, 2020) developed an end-to-end model for multistep machine speed prediction in this research, which was inspired by recent deep learning work in smart manufacturing. A deep convolutional LSTM encoder–decoder architecture is used in the model. In a smart manufacturing process, the Deep ConvLSTM autoencoder architecture was used to predict machine speed. As a result, the computational demand and training time are lowered.

Smart manufacturing's digitalization encourages the virtualization of manufacturing processes, which leads to cloud manufacturing services. Blockchain technology(Lee et al., 2020) can be used to speed up the validation and transaction of services. A service transactional block is formed when a manufacturing service is inquired and purchased. A transaction block of this type will be broadcast and validated by other peer-to-peer organizations. The transaction block is then added to the blockchain of transactions. The above transaction blockchain operational mechanisms build smart contracts between numerous interactive business partners, with the core protocols facilitating, verifying, and enforcing contract performance or negotiation. By enabling the identification, distribution, and validation of critical relevant data in a distributed manner, blockchain technology can be utilized to increase data integrity and eliminate data transmission hazards. Blockchain technology can be used to determine the source and destination of a data flow, as well as evaluate and confirm the data package's completeness and ensure the integrity of response command data. The use of edge computing in smart manufacturing is much more than just a way to supplement cloud computing. Because of its inherent ease of communication and high scalability, it is critical for the development of smart manufacturing. Virtualization technologies, such as virtual machines and virtual containers, are critical to the proper operation of edge computing because they allow the concurrent processing of numerous separate activities at the same time.

Due to the vast size and strong coupling of modern process industries, the impact of a little flaw could be greatly magnified. As a result, it's critical to keep an eye on the status of the operation and take the appropriate maintenance steps to ensure the safety of industrial processes. In

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