Data is the lifeblood that fuels innovation and efficiency. The ability to capture, process, and analyse quality data, is an essential step in designing automation solutions. To achieve this, SA Power uses our own Edge Solution.
Why Accurate Data is essential in Automation system Design?
Decision-Making Precision: Automation systems heavily rely on algorithms and decision-making processes. Accurate data ensures that decisions made by automated systems are not compromised.
Operational Efficiency: Accurate data enhances efficiency by streamlining processes reducing human intervention leading to reduced downtime and resource wastage.
Risk Mitigation: Accurate data mitigates control and decision-making risks.
Customer Experience: Accurate data reporting ensures smooth and seamless interactions for our customers.
The challenges in obtaining Accurate Data:
Data Volume and Velocity: With the rapid increase of connected devices, the volume and velocity of data generated have reached unprecedented levels.
Data Quality and Reliability: Ensuring data quality requires robust validation mechanisms and data cleansing processes to identify and rectify inaccuracies.
Privacy and Security Concerns: Safeguarding sensitive information against unauthorized access, breaches, and cyber threats is imperative to maintain trust and regulatory compliance.
Technological Solutions: Advancements in data analytics, artificial intelligence, and machine learning offer powerful tools for detecting and rectifying data inaccuracies.
Human Oversight: While automation aims to minimize human intervention, human oversight remains indispensable.
System Scalability: Providing scalable systems that can adapt and grow in response to changing demands without experiencing significant degradation in performance.
Data Interoperability: Interoperability challenges arise when integrating data from diverse sources and systems. Incompatible data formats, protocols, and standards hinder seamless data exchange and integration for automation design.
SA Power Industrial Automation Edge Control.
Three levels of Edge Control.
Level 1 Machine Control (PLC): Motion & Logic Controller with Visualization.
Level 2 Machine Information System (MIS): Development of powerful IIoT appl.
Level 3 SCADA
Edge devices are equipped with processing power, storage capacity, and built-in analytics capabilities. This allows them to perform data aggregation, filtering, and analysis autonomously, without constant reliance on centralized servers.
Seamless integration with cloud-based platforms and centralized control systems. Our hybrid architecture enables data synchronization, remote monitoring, and centralized management, providing a holistic view of the manufacturing operations while leveraging the benefits of Edge computing.
Real-Time Responsiveness by processing data locally at the edge, responding to events and anomalies in real-time, minimizing latency and enabling faster decision-making. This real-time responsiveness is critical for optimizing production processes, detecting equipment failures, and preventing costly downtime.
Reduced Bandwidth Requirement reduces the burden on the network infrastructure by filtering and processing data locally before transmitting relevant information to centralized systems or the cloud.
Enhanced Security by processing sensitive data locally at the edge by reducing the exposure of critical information to external threats.
Adaptability and Scalability with a tested and reliable and efficient solution also laying the foundation for a saleable plant monitoring and management systems.
