Bottom Line: Monitoring remote locations in real-time at a low operating cost combined with advances in AI and machine learning to interpret data are why cloud platforms are defining the future of SCADA and industrial monitoring.
Cloud platforms’ reliability, security, and scale are defining the future of supervisory control and data acquisition (SCADA)-based real-time industrial monitoring. By adopting cloud-based technologies to provide a 360-degree view of remote operations, oil and gas, transportation, and telecommunications enterprises are achieving process efficiency gains, reducing costs, and improving remote site security across all locations. Cloud platforms are also proving effective at providing organizations with a 360-degree view of physical and IT-based perimeters of every remote location an organization relies on today. Interesting companies in this field include Twenty20 Solutions who provides a cloud-based platform for enabling real-time surveillance, detection and remote access control systems. Cloud-based Industrial IoT platforms are also showing rapid gains in innovation in these areas with Software AG’s Cumulocity IoT , PTC’s ThingWorx, Hitachi’s Lumada platform and Exosite’s Murano IIoT platform leading the IIoT market.
SCADA-based industrial monitoring networks rely on Programmable Logic Controllers (PLCs) to capture data from remote locations and assets. Taken together, the many different forms of sensors SCADA industrial monitoring systems are compatible with providing new insights into machine and asset quality, reliability, and performance. Machine to machine (M2M) technology is also bringing real-time data to Statistical Process Control (SPC) applications capable of providing real-time alerts, graphs, and reports.
Why Cloud Is the Future of SCADA Industrial Monitoring
The data SCADA systems capture needs to be aggregated, analyzed, and available in real-time to access the relative health and stability of every remote plant location. By having cloud-based platforms supporting SCADA industrial monitoring systems, it’s also possible to monitor every piece of machinery, production asset, and system without having to send technicians to remote and potentially dangerous locations like a North Sea oil rig, for example. The following are ten reasons why the cloud is the future of SCADA and Industrial Monitoring:
- Using data from cloud-based SCADA industrial monitoring systems, it’s possible to continually improve product quality using Statistical Process Control (SPC) techniques for remote process production. Knowing which production processes, machines, work centers, and product lines are operating at high-quality levels and which aren’t is essential for keeping remote operations running smoothly. Having real-time data to use in SPC for continually tracking, controlling, and fine-tuning remote manufacturing processes is key. Setting up alerts in SPC Modules to alert quality management, production engineering, and scheduling when there is a deviation in performance can help avert millions of dollars in lost production time and avert having to replace remote production assets as well.
- Attain higher levels of compliance and traceability by receiving data directly from remote locations in real-time. Given the rapid advances in PLC-based monitoring and Machine to Machine (M2M) interfaces, it’s possible to capture real-time data on metrics and Key Performance Indicators (KPIs) of interest. Collecting data across remote locations in real-time and looking for patterns, trends, and predictive insights make direct contributions to improving process efficiency. […]