IoT can improve efficiency by automating tasks, safety by providing real-time data on equipment and processes, and costs by reducing downtime and waste.

Inventory management is not typically considered an IoT application in industrial automation, as it is more commonly associated with supply chain management.

Sensors are used to collect data from physical assets, such as temperature, pressure, and vibration, which is then transmitted to the cloud for analysis.

Actuators are used to actuate devices, such as motors, valves, and pumps, based on data received from the cloud.

The cloud is used to process data collected from physical assets and make decisions based on that data.

Edge computing is used to process data collected from physical assets and make decisions based on that data, without the need to send the data to the cloud.

AI is used to process data collected from physical assets and make decisions based on that data, often in real time.

ML is used to process data collected from physical assets and make decisions based on that data, often in real time.

Digital twins are used to create virtual representations of physical assets, which can be used to simulate and optimize the performance of those assets.

AR is used to overlay digital information onto the real world, which can be used to provide workers with instructions and information about the equipment they are working on.

VR is used to create immersive virtual environments, which can be used to train workers and simulate the operation of equipment.

Blockchain is used to create a secure and transparent record of transactions, which can be used to track the movement of goods and materials through the supply chain.

5G is a wireless technology that provides high-speed, low-latency data transmission, which is essential for IoT applications that require real-time data.

Edge computing is a distributed computing paradigm that brings computation and data storage closer to the physical assets, which reduces latency and improves performance.

Cybersecurity is essential for protecting IoT devices and systems from cyberattacks, which can disrupt operations and compromise data.