In this context, one of the key technologies for industrial sector transformation is edge computing, which is the process of processing data where it is needed.
Industry 4.0: Digital Transformation of Industry and IIoT
Industry 4.0 represents the digital transformation process of the industrial sector, which automates production processes, controls and monitors operations, optimizes production, performs self-diagnosis and preventive maintenance, and collects and processes real-time data by adopting new technologies.
Industry 4.0 utilizes technologies including collaborative robots, augmented reality (AR), machine simulation software to optimize processes, big data analytics, cloud computing for online data storage and analysis, and the Industrial Internet of Things (IIoT).
The latter is based on the same principles of the Internet of Things (IoT) applied to production and industry. Through the Industrial Internet of Things (IIoT), all of a company's devices, sensors, and machines are connected so that they can send and receive data and can be remotely controlled.
Data storage and edge computing in Industry 4.0
With the advent of Industry 4.0, data management has become one of the key aspects that need to be managed.
This is why the industrial storage and IIoT markets are rapidly evolving to accommodate applications and devices with high processing power, capable of collecting and analyzing massive amounts of data in real time.
This shift has driven the demand for higher-capacity and more reliable data storage solutions. Edge computing is one such technology that allows you to optimize data processing speed.
Edge computing: What it is and how it works
Edge computing consists of a distributed and decentralized IT architecture composed of multiple micro data centers that communicate with each other and are able to process and store large amounts of data locally, on the devices themselves, and then transfer them to a central data center or a repository in the cloud.
Edge computing represents a new frontier in the Industrial Internet of Things (IIoT), allowing you to overcome the limitations imposed by cloud computing, such as stable internet connectivity, low latency, and bandwidth requirements.
Edge computing and cloud computing: differences
The difference between edge computing and cloud computing lies in where data processing occurs: with edge computing, data is processed near the device, while in the case of cloud computing, data is transmitted, stored, and processed in a remote data center.
Edge computing and local data storage: Which solutions?
Because devices used in industrial edge computing solutions require very rugged memory for data storage, several solutions specifically designed for the industrial sector have emerged in recent years. These are similar to Western Digital's memory cards designed to meet specific needs and harsh environmental conditions. For example, these solutions are particularly suitable for industrial environments or applications requiring specific characteristics and performance, such as video surveillance or drones.
