Overview
Remote sensing technology has evolved into a critical solution for addressing various challenges encountered by utilities. By incorporating LiDAR, satellite imagery, AI analysis, and real-time monitoring, utilities can strategically manage vegetation, optimize infrastructure planning, conduct efficient asset inspections, and bolster emergency response protocols. These advancements collectively empower utilities to mitigate a range of risks, ensuring the secure delivery of power to communities amid evolving environmental challenges.
Unlike other vendors in the market who offer solely LiDAR or Satellite solutions, GE Vernova understands the need for a holistic approach. GridOS Visual Intelligence is a unique offering that not only supports LiDAR and Satellite but also seamlessly integrates a wide array of other sensors, including thermal, LiDAR, and optical imagery sensors. This multi-sensor approach ensures that utilities can harness the combined power of these technologies without compromise.
GridOS Visual Intelligence is the culmination of extensive experience and global reach, having delivered cutting-edge technology to the largest utilities worldwide. Its asset centric approach contextualizes external data within the comprehensive network model, providing unparalleled insights for utilities. These insights, generated using AI, translate into actionable work plans, enhancing network reliability, reducing costs, and improving customer satisfaction.
Furthermore, the platform seamlessly integrates with field users, providing real-time access and enhancing coordination through mobile solutions. It's an all-encompassing solution that not only meets the unique challenges of modern utilities but also paves the way for a smarter, safer, and more efficient utility network.
Highlights
- Unified Data Integration: Visual Intelligence functions as a centralized hub, adeptly ingesting a variety of remote sensing data formats, including LiDAR, Satellite, imagery, and more. The software's capacity to harmonize data from different sources diminishes data fragmentation, allowing utilities to comprehensively analyze their infrastructures conditions.
- AI-Powered Analysis: Visual Intelligence's advanced AI algorithms underpin its analytical capabilities, enabling it to autonomously process the ingested data. The software can identify vegetation encroachments, detect equipment anomalies, and predict maintenance needs, thereby optimizing decision-making processes.
- Scalability: Visual Intelligence's architecture is engineered for scalability, ensuring efficient processing of large volumes of data from diverse sensing technologies. By leveraging cloud-based technology, Visual Intelligence expedites data analysis, enabling utilities to swiftly respond to dynamic operational requirements. The solution natively integrates with the utilities' Network Model (GIS) and offers asset-centric capabilities.
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Dimension | Description | Cost/12 months |
|---|---|---|
Licensing Fee | Annual licensing fee | $0.001 |
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