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Disaster Response & Grid Resilience

Following severe weather or natural disasters, we offer rapid aerial damage assessment services. Using UAVs and aircraft equipped with optical and LiDAR sensors, we quickly identify damaged assets, vegetation-caused outages, and terrain changes affecting infrastructure. This supports emergency restoration prioritization and strengthens long-term grid resilience planning against future events.

In the aftermath of severe weather or natural disasters, Feiyan Aerial Remote Sensing Technology Co., Ltd. delivers rapid aerial damage assessment services. Utilizing Y-1 series UAVs and aircraft equipped with optical and LiDAR sensors, we quickly identify damaged assets, vegetation-caused outages, and terrain changes affecting infrastructure. This solution supports emergency restoration prioritization and strengthens long-term grid resilience planning against future events.

Our Differentiated Solution Framework

Our solution is built around the Swift4D spatiotemporal big data platform, featuring an integrated "Rapid Sensing – Intelligent Diagnosis – Resilience Planning" framework:

Multi-UAV Emergency Response: Deploying Y-1 VTOL fixed-wing UAVs for wide-area disaster reconnaissance, multi-rotor UAVs for close-in inspection of damaged towers and lines, and tethered UAVs for airborne communication relay, ensuring real-time data transmission under "no network, no road, no power" conditions.

Swift4D Minute-Level 3D Modeling: Leveraging the Swift4D Platform real-time modeling engine to generate 1 km² 3D models with 10cm resolution within 5 minutes, accurately presenting key damage elements including collapsed towers, broken lines, and landslide volumes.

SwiftAI-Powered Damage Identification: Utilizing deep learning algorithms to automatically identify the type and severity of grid infrastructure damage while detecting hazards such as fallen trees and foreign objects within transmission corridors, generating damage distribution maps and repair work orders.

Multi-Temporal Data Comparison & Resilience Assessment: Integrating historical data with real-time damage information to evaluate grid vulnerabilities and simulate restoration sequences under different scenarios, providing data support for long-term grid planning.

705d2202b965fdd6189f9009a3d6550d.jpgApplication Scenarios & Client Value

Application Scenarios

Post-Disaster Rapid Assessment: Acquire panoramic imagery and 3D models of affected areas immediately after a disaster to support emergency command decisions.

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Grid Infrastructure Damage Evaluation: Precisely identify tilted towers, broken lines, and damaged transformers, generating prioritized repair lists.

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Right-of-Way Hazard Detection: Identify fallen trees, landslides, and foreign objects within transmission corridors to prevent secondary disasters. image.png

Visualized Restoration Progress Tracking: Real-time tracking of repair crews and materials with dynamically updated recovery plans.

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Grid Resilience Planning: Analyze historical disaster data to identify grid vulnerabilities and guide differentiated infrastructure upgrades.

Client Value

Accelerates Emergency Response: Reduces damage assessment time from days to hours, capturing the critical window for power restoration.

Mitigates Repair Decision Risks: Optimizes resource allocation based on accurate data, avoiding blind operations and waste.

Enhances Grid Resilience: Systematically identifies grid vulnerabilities to reduce outage risks from extreme weather.

Safeguards Critical Loads: Prioritizes power restoration for hospitals, transportation hubs, and communication facilities.

Builds Digital Emergency Capabilities: Accumulates disaster data and response experience for continuous improvement in disaster prevention and mitigation.