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What is SimuPACT?

SimuPACT represents a state-of-the-art simulation software platform tailored for the rapid creation of high-fidelity and comprehensive simulators for power and process plants. It boasts advanced graphical tools and a solid integrated architecture that supports engineering analysis, operator training, and control system validation seamlessly within a single platform, all without incurring additional costs. By leveraging cutting-edge advancements in software technology and engineering practices, SimuPACT achieves remarkable accuracy while accelerating the simulator development process. Users benefit from customizable modeling tools, various solvers, and an extensive selection of libraries that encompass electrical networks, multi-phase flows, control networks, sensors, actuators, mechanical systems, and material handling. Furthermore, the platform guarantees smooth integration with distributed control system (DCS) emulation as well as third-party systems utilizing standard protocols. Additionally, SimuPACT features a flexible instructor station that empowers users to configure simulations, initiate malfunctions, monitor scenarios, and assess trainee performance, significantly enhancing the overall training experience. As a result, SimuPACT stands out as an indispensable resource for professionals who seek to advance their engineering and training capabilities in the industry. Its innovative approach ensures that users can meet the demands of modern power and process plant operations effectively.

What is Imubit?

Imubit’s AI-driven platform offers real-time, closed-loop optimization for processes within heavy industries by combining a dynamic process simulator, a reinforcement-learning neural controller, and performance tracking dashboards. The dynamic simulator harnesses a wealth of historical data alongside fundamental principles to construct a virtual model of actual processes, enabling what-if scenarios that explore the interactions among variables, shifts in constraints, and modifications in operational tactics. In parallel, the reinforcement-learning controller, which has been developed through extensive offline training with millions of trial-and-error scenarios, serves to continuously refine control variables, boosting profit margins while maintaining compliance with safety regulations. The real-time dashboards provide insights into model availability, user activity, and operational uptime, complemented by interactive visualizations that illustrate boundary conditions, operational thresholds, and trends in vital performance metrics. This advanced technology finds its applications in aligning economic strategies with real-time data and spotting instances of process decline, thereby promoting heightened efficiency and safety across operations. By adopting this holistic strategy, industries are better equipped to respond promptly and effectively to evolving conditions, ultimately leading to more resilient operations.