1
Reducing alarm overload
Minimizing repetitive alerts to prevent operator fatigue.
Operator Situational Awareness
Enhancing operators’ response and decision-making capabilities in complex scenarios.
Project objective
To develop advanced tools that increase the situational awareness of power system operators, enabling more effective and agile decision-making under normal and exceptional conditions. The project implements Data Mining and Artificial Intelligence frameworks integrated with the real-time operation system used at the Evoltz Operations Center, facilitating fault diagnosis and efficient alarm management.
Investment:
R$
2924608,
00
Allocated exclusively to the contracted company
Why is this project essential?
As operational complexity and the volume of extreme weather events grow, the ability to respond quickly and effectively to alarms and faults is critical to ensuring the continuity and safety of power supply. With this project, Evoltz strengthens its leadership position by investing in innovation and safety.
Originality and innovation
This project is a pioneer in using data mining techniques, fuzzy logic, and visual computing to improve operators’ monitoring and response to critical events.
With this initiative, Evoltz leads the way in applying artificial intelligence to transform alarm data into actionable insights, enhancing safety and operational efficiency.
Scope achieved
Framework for intelligent alarm systems
Editing of fuzzy and crisp rules
Integration of alarms with SAGE
Graphical visualization of diagnostics
Alarm grouping for easier analysis
Diagram analysis using visual computing
2
Proactive dault diagnosis
Inference tools assist in diagnosing issues based on historical data and expert knowledge.
3
Fuzzy and crisp rule editing
A framework for creating fuzzy indicators enables more detailed and adaptable system control.
4
Integration with the real-time operation system
Smart alarms fully integrated into the Evoltz Operations Center system, with precise diagnostic visualization.
Looking to the Future
Increased operational efficiency
Reduced response times for fault diagnosis and resolution, potentially avoiding penalties and reducing operator stress.
Prevention and decision-making capabilities
Predictive systems with fuzzy logic enable operators to anticipate preventive measures and make more informed decisions.
Improved service quality
Automation and centralization of diagnostic processes lead to efficiency gains and reduced costs associated with maintenance and penalties.
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