MindSIM Digital Twin
The MindSIM Digital Twin stands out as an innovative and crucial answer to the complex challenges that often plague the industry. The central point that this pioneering software addresses is the difficulty companies face in promptly diagnosing problems and identifying their root causes. Before the introduction of the Digital Twin, situations of compromised industrial performance resulted in considerable financial losses, requiring days of effort in an attempt to trace and understand the origins of the problem, which inevitably resulted in a global loss of operational efficiency.
MindSIM Digital Twin's unique capability lies in creating highly accurate virtual clones of industrial systems using intelligent data and algorithms. This innovative approach provides a deep and clear understanding of the actual and potential behavior of equipment, eliminating unnecessary interventions and increasing equipment availability. By overcoming the critical challenge of diagnosing problems before they develop into crises, the software emerges as an essential solution to avoid considerable financial losses and significantly reduce the time spent identifying problems.
Real-time analysis of data, compared to the virtual model, allows for early detection of problems, a valuable feature in industrial environments where efficiency and equipment availability are fundamental. By solving this core problem, MindSIM Digital Twin emerges as an indispensable tool for optimizing operational efficiency and taking asset management to more advanced levels.
The tangible benefits of this innovative software include reducing unnecessary interventions and inspection costs, increasing Overall Equipment Efficiency (OEE), and decreasing energy and emissions costs. Furthermore, MindSIM Digital Twin goes beyond a simulation, presenting itself as an integrated solution to the real challenges faced by modern industries. Employing the power of artificial intelligence, the software continuously analyzes data collected in the field, adjusting the digital twin to reflect real-time changes in the production environment.
In its practical applications, the Digital Twin positively impacts different sectors, such as optimizing flow rates and pressures in pumps, identifying loss of performance in direct current heat exchangers, predicting fermentation time and optimizing fermentation tanks, and identifying loss of performance in cooling towers, among other specific applications. With its adaptability and precision, MindSIM Digital Twin establishes itself as an indispensable partner in the search for leaner, more responsive and resilient industrial operations.
Discover our project with Petrobras using MindSIM Digital Twin:
https://drive.google.com/file/d/1cSCIlcdTeAIxYwoa7h6YMeBtKOvp1oKF/view?usp=drive_link