Infrastructure is the foundation of modern society, and managing it requires precision, reliability, and foresight. Kronos GridVision solution provides a comprehensive digital ecosystem for proactive infrastructure maintenance using advanced digital twins supported by BIM, 3D GIS solutions, artificial intelligence (AI), and augmented reality (AR). As a solution, GridVision enables organizations to move away from traditional approaches, reduce downtime, costs, and emissions, and extend the life of assets with intelligent real-time insights.
How it works?
Kronos GridVision functions as a connected platform that collects data from various sources (BIM models, sensors, systems), analyzes it using AI, and visualizes it through digital twins and AR. Users have access to a comprehensive, real-time overview of the state of the infrastructure and fault prediction. Placement and display using AR visualization and 3D GIS technologies offer field teams the ability to accurately geolocate and display data-instructions for interventions and support in decisions for service interventions, planning, and investments. This is a new concept that innovates existing technologies into a new, multi-layered integrated solution designed to change the approach to infrastructure management.
With pre-built modules, GridVision offers rapid implementation and a high degree of flexibility.
Advantages and business benefits
- Reduced maintenance costs
- Fewer unplanned outages and breakdowns
- Better asset utilization and longer service life
- Increased safety and efficiency for field teams
- Reduced carbon footprint and support for sustainability goals
Why choose Kronos GridVision?
Kronos GridVision represents a connected, comprehensive solution on the market that combines technological complexity, user intuitiveness, and operational efficiency. While many providers offer individual components (GIS, AI, digital twins), Kronos GridVision combines all these functionalities into an integrated platform that covers different levels and provides insight into data.
