Using Edge Computing | Processing Data In Its Source

With the increasing use of automation and data-driven decision-making in industrial processes, the adoption of Edge Computing technology—which enhances SCADA systems’ capabilities for real-time data analysis and processing—is advancing the sector significantly. The edge computing architecture reduces reliance on cloud servers, allowing data to be processed in real time, which increases operational speed and efficiency.

With edge computing, devices can analyze and process data locally without sending it to a central server. This provides significant advantages, especially in production lines, energy management, and situations requiring instant critical decisions. Key benefits include early detection of sudden faults, optimized maintenance processes, and more efficient resource utilization.

When integrated with SCADA systems, this structure not only reduces costs but also enables a more reliable and sustainable industrial infrastructure. Contact us for more detailed information about edge computing technologies!

What is Edge Computing?

Edge computing is a data processing model that allows data to be processed as close as possible to its source. In traditional cloud architectures, data is sent to a central data center for processing. In contrast, edge computing brings the processing closer to the device generating the data, enabling operations to occur at the network’s edge. In short, data is processed at its origin using sensors, machines, or devices.

The use of edge computing is widespread and offers significant advantages. Let’s examine these benefits and their impacts:

Real Time Decision Making:

In SCADA systems, such as production automation processes where immediate intervention is required, edge computing enables on-site analysis without lengthy evaluations, quickly determining the necessary response and allowing immediate action.

Bandwidth Efficiency

The use of edge computing significantly improves bandwidth efficiency. Without edge computing, sending data to central servers consumes a large amount of bandwidth, and the continuous flow of data from numerous sensors can create a heavy load on the network. By using edge computing, data is filtered at its source, and only the necessary information is sent to processing points. This reduces network load and ensures more efficient use of bandwidth.

Low Latency

The time it takes for data to be sent to a remote server and for the response to be returned is called latency. Low latency is critical in systems that require immediate reactions. With edge computing, data is processed directly at the edge, reducing latency to nearly zero. This ensures uninterrupted system operation and significantly increases efficiency.

Data Privacy and Security

When data is sent to the cloud without edge computing, systems become more vulnerable to cyberattacks. With edge computing, however, data is processed locally in real time, minimizing external exposure. Additionally, because only a small amount of data is transmitted outside, the system becomes much more resilient to cyber threats.

What is SCADA?

SCADA (Supervisory Control and Data Acquisition) is an integrated software and hardware architecture used for remotely monitoring systems, performing controls, and collecting data. Its main features include:

• Increasing process efficiency
• Monitoring processes, visualizing data, and managing events
• Optimizing decision-making mechanisms
• Collecting real-time data

SCADA systems consist of specific components, each controlling and enhancing different features of the system. These components generally include RTU (Remote Terminal Unit), PLC (Programmable Logic Controller), HMI (Human Machine Interface), SCADA software, and a database.

For more detailed information about SCADA systems, contact us!

What is RTU?

RTU units are located in process areas, establishing physical connections with devices, collecting data from them, and transmitting this data to the SCADA system. They also receive control commands from SCADA and relay them to the relevant equipment. RTU units are designed to operate under harsh conditions, making them highly resistant to factors such as temperature and humidity. Some advanced RTU units even have the capability to make simple decisions independently.

What is PLC?

PLCs primarily provide automatic control in industrial systems through decision-making mechanisms. They have extensive decision-making capabilities and are typically used in repetitive processes. Inside, they contain control programs written in programming languages such as Ladder Diagram, Structured Text, and Function Block. These programs allow PLCs to control devices like motors, heaters, and pumps. While they communicate with SCADA systems, they also manage certain processes independently. In industry, manufacturing, automation, and robotics, PLCs advance sectors by delivering responses within milliseconds.

What is HMI?

HMI can be summarized as an interface between the machine and the operator. It allows users to monitor and control machines easily. HMIs can take the form of touchscreens, computer monitors, or control panels. Through this interface, users can observe processes occurring in the system in real time. Being connected to PLCs, HMIs also facilitate the reporting of PLC activities.

What is a Database?

Databases are where data collected through SCADA units is stored long-term and analyzed. All operations are recorded in the database. They allow users to generate reports of activities by date, enabling review and analysis of past commands. SQL databases are among the most commonly used. Databases ensure that even after a long time, historical data is preserved, easily accessible, and can be used for future analysis.

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Edge Computing and SCADA Relation

Edge Computing makes SCADA operations faster, more secure, and more flexible. The increased use of edge computing and SCADA alongside concepts like Industry 4.0 and IoT has significantly advanced digital transformation in industry. Let’s examine the relationship between SCADA and edge computing, which provides these revolutionary benefits.

Change in Data Processing Structure:

Older SCADA systems collected all data under a single central unit and processed it there. However, with advancing technology, centralizing all data has become inefficient. With edge computing, data collected by sensors is no longer sent directly to the central system. Instead, it is first processed locally by edge computing devices. Necessary filtering, summarization, and analysis are performed, and any anomalies are detected. Only critical alerts are sent to the central system, eliminating the need to transmit large amounts of unnecessary data.

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Real Time Decision Making Capability

In critical systems requiring rapid decision-making, sending data to the central system and waiting for a response results in significant time loss. To prevent this, edge computing devices make real-time operational decisions locally and only send information about the decision to the central database.

AI and Analysis Algorithm Integrations

With the advancement of edge computing technologies, not only simple controls but also complex commands can now be executed through AI integration. Artificial intelligence can perform tasks such as image processing, anomaly detection, and vibration analysis.

Robust Security Systems

Performing data processing primarily on edge computing systems reduces the likelihood of the central system being exposed to cyberattacks. As an additional precaution, sensitive data can be stored locally while only summarized data is sent to the central system.

Edge Computing and Its Current Applications

Today, edge computing is widely used across various industries for real-time data processing, bandwidth efficiency, and offline operation advantages. Let’s examine these sectors and the applications they use.

Industrial Automation

In industrial settings, edge devices installed on factory machines use sensors to analyze data such as temperature, vibration, and pressure. They detect faults, stop the system if necessary, and report to the central system, thereby protecting machine health and preventing unnecessary waste.

Health Sector

In the healthcare sector, especially in operating rooms, edge computing systems continuously monitor patients’ heart rates and alert doctors to any abnormal conditions.

Energy Infrastructure

Edge computing devices installed in electrical networks monitor load balancing, perform anomaly tests, and analyze energy consumption results. They automatically intervene in real time during voltage drops, leaks, or overloads. These capabilities contribute to the creation of a smart energy infrastructure.

Agriculture

Sensors in agricultural fields analyze soil moisture, temperature, and pH levels. Based on deficiencies or anomalies, they take action. For example, if moisture levels are low, edge computing systems can automatically activate irrigation systems.

Smart Mobility Systems

Autonomous vehicles use edge computing systems to instantly analyze tasks such as obstacle detection and lane tracking, enabling immediate and appropriate responses.

Conclusion: Edge Computing is Beneficial in Every Field

Edge Computing is not just a technology trend—it is a revolutionary step at the heart of digital transformation. By processing data close to its source, it delivers speed, low latency, and enhanced security, making it one of today’s and tomorrow’s indispensable solutions. Whether you aim to optimize production with smart factories, transform transportation with autonomous vehicles, or provide real-time experiences in healthcare and energy sectors, Edge Computing takes center stage in every field.

Now is the perfect time to explore this powerful technology and gain an edge over your competitors. Shape your digital future today—contact us to make a difference with Edge Computing!