Prediction and Prevention of Wildfires
Physical based Simulations
Prediction of Wildfires
AI Based Analytics
IoT Integration and Weather
AI Defect Deduction
Prevention of Wildfires
On-Site Capturing
*** AI Processing and Its Modeling ***
Forest Scanning 3D Reconstruction 3D BIM Modelling Forest Landscape LifeCycle
Vegetation Managment |
Photogrammetry |
BIM Modelling |
Energy Management |
Work Order Management |
Flight Management |
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Equipment Catalogue |
Analytics and Simulations |
Temp / CO2 Monitoring |
Predictive Maintenance |
Forest Observability |
AI Equipment Deduction |
BIM Model Library |
Battery Management |
System Management |
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Survelliance |
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Prediction and Prevention of Wildfires Enterprise and Data Integration |
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Site Management |
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Asset Management |
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Alert Management
Billing
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Field Service Management |
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Ticketing |
Figure 5-1 : Solution view - Enterprise conceptual ( indicative ).
The key building blocks for wildfire prediction and prevention solution include :
Forest Scanning : UAVs follow guided flight paths to capture high-resolution images of the forest ’ s high risk spots . Installed sensors collect related data that is processed at the cloud-based processing applications / algorithms .
3D Reconstruction : The solution uses 2D drone images to reconstruct a 3D realistic model of the tower . We use information from photogrammetry services , equipment catalogs , and intelligent equipment detection using AI to enrich the realistic model .
3D BIM Modeling : The realistic reconstruction is converted automatically into an initial 3D BIM model and further improved using BIM model libraries . These models allow engineers to perform highly accurate design enhancements ( e . g ., add an antenna , dish , or Remote Radio Unit ( RRU )
Journal of Innovation 129