The industry standard for AI-enabled, VR-based infrastructure monitoring. Ideal for bridges, dams, tunnels, and high-rise structures.
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The industry standard for AI-enabled, VR-based infrastructure monitoring. Ideal for bridges, dams, tunnels, and high-rise structures.
Geolook SHM 2.0 is a comprehensive Structural Health Monitoring platform that integrates real-time sensor data with advanced visualization technologies. By combining Virtual Reality (VR) exploration with Artificial Intelligence (AI) analytics, it transforms raw data into actionable engineering insights. Engineers can virtually walk through their structures, visualize stress points in 3D, and receive automated health reports generated by our proprietary Large Language Model (LLM).
Visualizing data and dashboards
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Geolook SHM 2.0 revolutionizes how engineers interact with structural data. Instead of analyzing rows of spreadsheets, users can enter a high-fidelity Virtual Reality environment. This digital twin reflects the real-time physical state of the structure, allowing for intuitive inspection of inaccessible areas.
Sensor data is visualized as dynamic heatmaps directly on the 3D model. If a strain gauge on a bridge pier reports high tension, that specific area glows red in the VR view, providing immediate spatial context to the alert.
One of the most time-consuming tasks for engineers is writing reports. Geolook SHM 2.0 automates this using a specialized Large Language Model trained on structural engineering texts.
At the end of every month (or upon a critical event), the software generates a comprehensive, human-readable report. This includes an executive summary, detailed technical findings, annotated charts, and specific maintenance recommendations—ready for review and signature.
The platform goes beyond simple threshold monitoring. Our predictive engine analyzes historical trends to forecast potential failures before they occur. By correlating data from multiple sensor types (e.g., temperature vs. expansion), the AI minimizes false alarms and identifies subtle degradation patterns.
Designed for critical national infrastructure, security is paramount. All data transmission is encrypted using banking-grade standards. The architecture is built on scalable microservices, ensuring that whether you are monitoring a single culvert or a nationwide network of bridges, the system performance remains robust and responsive.
Geolook SHM 2.0 revolutionizes how engineers interact with structural data. Instead of analyzing rows of spreadsheets, users can enter a high-fidelity Virtual Reality environment. This digital twin reflects the real-time physical state of the structure, allowing for intuitive inspection of inaccessible areas.
Sensor data is visualized as dynamic heatmaps directly on the 3D model. If a strain gauge on a bridge pier reports high tension, that specific area glows red in the VR view, providing immediate spatial context to the alert.
The platform goes beyond simple threshold monitoring. Our predictive engine analyzes historical trends to forecast potential failures before they occur. By correlating data from multiple sensor types (e.g., temperature vs. expansion), the AI minimizes false alarms and identifies subtle degradation patterns.
One of the most time-consuming tasks for engineers is writing reports. Geolook SHM 2.0 automates this using a specialized Large Language Model trained on structural engineering texts.
At the end of every month (or upon a critical event), the software generates a comprehensive, human-readable report. This includes an executive summary, detailed technical findings, annotated charts, and specific maintenance recommendations—ready for review and signature.
Designed for critical national infrastructure, security is paramount. All data transmission is encrypted using banking-grade standards. The architecture is built on scalable microservices, ensuring that whether you are monitoring a single culvert or a nationwide network of bridges, the system performance remains robust and responsive.
We are currently updating the version comparison and licensing modules for this software suite.