Energy Grid Data Visualization, Monitoring and Control
Challenge
Modern energy grids generate vast amounts of data from diverse sources, making real-time monitoring, analysis, and decision-making increasingly complex. Operators need an intuitive, high-performance solution to visualize grid conditions, detect anomalies, and optimize energy distribution. The challenge lies in integrating and displaying this data efficiently, ensuring clarity and responsiveness for effective control and management.
Modern energy grids generate vast amounts of data from diverse sources, making real-time monitoring, analysis, and decision-making increasingly complex. Operators need an intuitive, high-performance solution to visualize grid conditions, detect anomalies, and optimize energy distribution. The challenge lies in integrating and displaying this data efficiently, ensuring clarity and responsiveness for effective control and management.
Solution
By utilizing interactive 3D Web visualizations of devices, modules and connections, we cooperatively worked on real-time states of grid energy storage. By the same token, we worked on implementing the monitoring of alarms and warnings and a system for data visualization and control. We enhanced data management with control of data layers, color coding, data comparison and introduced visualizations of different states and parameters of devices, such as currents, voltages and temperatures of the accumulation batteries. By implementing interactive customized multichannel 2D data plotting and comparison, we facilitated decision-making, efficiency analysis, monitoring and data management in different ranges of time and date.
By utilizing interactive 3D Web visualizations of devices, modules and connections, we cooperatively worked on real-time states of grid energy storage. By the same token, we worked on implementing the monitoring of alarms and warnings and a system for data visualization and control. We enhanced data management with control of data layers, color coding, data comparison and introduced visualizations of different states and parameters of devices, such as currents, voltages and temperatures of the accumulation batteries. By implementing interactive customized multichannel 2D data plotting and comparison, we facilitated decision-making, efficiency analysis, monitoring and data management in different ranges of time and date.
Results
Greensmith Energy partnered with Indeform to create a system for energy storage, data visualization, monitoring, and control. The implemented solution provided an advanced 3D visualization platform that enabled real-time energy grid monitoring and control. Operators gained an intuitive interface for analyzing complex grid data, quickly identifying anomalies, and optimizing energy distribution. The system improved situational awareness, reduced response times, and enhanced decision-making, leading to greater operational efficiency and reliability in energy management.
Greensmith Energy partnered with Indeform to create a system for energy storage, data visualization, monitoring, and control. The implemented solution provided an advanced 3D visualization platform that enabled real-time energy grid monitoring and control. Operators gained an intuitive interface for analyzing complex grid data, quickly identifying anomalies, and optimizing energy distribution. The system improved situational awareness, reduced response times, and enhanced decision-making, leading to greater operational efficiency and reliability in energy management.