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Description
ControlRooms.ai sets a new benchmark for effective troubleshooting in industrial environments. By establishing predefined limits, it prevents overwhelming alarm notifications and eliminates the tedious search for specific issues that can take hours. This solution provides operators with ample time to implement corrective measures, seamlessly integrating into your current workflows and communication platforms. The setup process is straightforward, allowing for quick and secure configuration and provisioning. You can get a few systems operational and expand according to your own timeline. It offers round-the-clock monitoring, real-time alerts across various platforms, automated daily reports, and simplifies shift transitions. Utilizing OPC-UA standards, it connects effortlessly with existing infrastructures. The OPC-UA server operates within a DMZ to ensure a secure separation from operational systems, communicating one-way through MQTT to the Azure cloud. Security is prioritized with credentials stored in an encrypted vault that undergoes routine rotation. The system is designed to auto-scale irrespective of the number of tags or sampling rate, guaranteeing that operational technology data remains completely isolated through dedicated data pipelines and databases. ControlRooms.ai represents a groundbreaking advancement in industrial software, marking a significant evolution in the field in recent years. As industries continue to evolve, this platform promises to adapt and grow alongside them, ensuring that troubleshooting remains efficient and effective.
Description
Imubit’s artificial intelligence platform provides instantaneous, closed-loop optimization of processes in heavy industries by integrating a dynamic process simulator, a reinforcement-learning neural controller, and performance monitoring dashboards. The dynamic simulator utilizes extensive historical plant data and is informed by fundamental principles to create a virtual representation of actual processes, facilitating what-if analyses regarding variable interactions, changes in constraints, and adjustments in operational strategies. Meanwhile, the reinforcement-learning controller, which has been trained offline using millions of trial-and-error scenarios, is employed to continuously optimize control variables, thereby enhancing profit margins while adhering to safety constraints. Real-time dashboards monitor the availability of the model, user engagement, and operational uptime, while also providing interactive visual representations of boundary conditions, operational limits, and trends in key performance indicators. Applications of this technology include synchronizing economic strategies with real-time operational data and identifying instances of process deterioration, ensuring enhanced efficiency and safety across operations. This comprehensive approach empowers industries to adapt swiftly and effectively to changing conditions.
API Access
Has API
API Access
Has API
Integrations
Microsoft Azure
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
ControlRooms.ai
Country
United States
Website
controlrooms.ai/
Vendor Details
Company Name
Imubit
Founded
2016
Country
United States
Website
imubit.com