Source | Qianjia Network Introduction
Thanks to the technologies and systems of Industry 4.0, sensors, and IoT devices, companies can benefit from an increasing number of advanced features, making production processes more efficient and optimized. In this context, one of the key technologies for the transformation of the industrial sector is edge computing, which is the process of processing data where it is needed.

Industry 4.0: Digital Transformation of Industry and IIoTIndustry 4.0 represents the digital transformation process of the industrial sector, achieving automation of production processes, controlling and monitoring operations, optimizing production, performing self-diagnosis and preventive maintenance, and collecting and processing real-time data through the adoption of new technologies.
Some of the technologies used in Industry 4.0 include collaborative robots, augmented reality (AR), machine simulation software for process optimization, big data analytics, online data storage and analysis through cloud computing, and the Industrial Internet of Things (IIoT). Through IIoT, all devices, sensors, and machines within a company are interconnected, allowing them to send and receive data and 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 of enterprise management.
This is why the industrial storage and IIoT market is rapidly changing to meet the demands of applications and devices with high processing capabilities that can collect and analyze large amounts of data in real-time.
This shift is driving the market demand for higher capacity and more reliable data storage solutions. Edge computing is one of the technologies capable of optimizing data processing speed.Concept and Principles of Edge Computing
Edge computing consists of a distributed and decentralized IT architecture made up of multiple micro data centers that communicate with each other, capable of processing and storing large amounts of data locally, on the devices themselves, and then transmitting them to a central data center or cloud storage.
Edge computing represents a new frontier for the Industrial Internet of Things, helping users overcome the limitations imposed by cloud computing, such as the need for stable internet connections, low latency, and broadband requirements.
Differences Between Edge Computing and Cloud Computing
The difference from cloud computing lies in the location where data processing occurs: with edge computing, data is processed near the device, while in cloud computing, data is transmitted, stored, and processed at remote data centers.
Edge Computing and Local Data Storage Solutions
As the devices used in edge computing solutions in the industrial sector require very robust memory for data storage, several solutions specifically designed for the industrial sector have emerged in recent years. For example, certain manufacturers have designed storage cards to meet specific needs and harsh environmental conditions. These solutions are particularly suitable for industrial environments or applications requiring specific features and performance, such as video surveillance or drones.

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About SuiRui Technology Group
The name SuiRui Technology Group is derived from “Intelligent Communication, Sharp Ambition”, and is an emerging “Intelligent World Builder & Operator” in the industry. It is also the official collaborative office software supplier for the Beijing 2022 Winter Olympics and Paralympics, renowned in the government and enterprise market for many years. SuiRui has formed a core business segment centered on communication cloud and artificial intelligence, with over 700,000 total clients in government/enterprise and over 10 million platform service clients, covering more than 100 million end users, providing solutions and supporting services in the field of intelligent world for a wide range of government and enterprise clients. Currently, the group’s products cover technology innovation fields such as cloud computing (including communication cloud and industry management cloud), artificial intelligence, IoT, industrial internet, big data platforms, edge computing, and information security.
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