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US 2026/0108768 A1Published application
A fire monitoring management system and method
AssigneeBts Kurumsal Bilisim Teknolojileri Anonim Sirketi
InventorsSultan ÇOGAY, Gökhan SEÇINTI, Gökhan YURDAKUL, Özgür PALANTÖKEN
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Abstract
The invention relates to a system which monitors the forest fires, plans to extinguish small-scale fires before they grow, and prepares an effective action plan for controlling and extinguishing large and widely spread fires, and to a method ensuring the operation of the system.
Claims4
A system which monitors the forest fires, plans to extinguish small-scale fires before they grow and prepares an effective action plan for controlling and extinguishing large and widely spread fires in order to provide an improvement by a processor-containing computer-aided machine learning,
- characterized in that it comprises at least one unmanned aerial vehicle (UAV) (10) which monitors the forest fires and sends said images from an monitoring unit (40) to a ground control unit (60);
- and that it comprises at least one first controller (20) which manages a graph engine (21), a path planning module (22) and an modified traveling salesman (TSP) module (23) and performs a topology design and flight path planning,
- at least one graph engine (21) which enables the fire points and clusters in the graph (G) created with the path planning module (22) to be controlled and prioritized based on the fuel moisture content and the paths to be controlled and prioritized based on the safe temperature values, removes dangerous paths and obtains a new graph,
- at least one path planning module (22) which identifies the potential danger zones using an elliptical fire model and a simulation and triggers the operation of the graph engine (21) and the modified traveling salesman (TSP) module (23),
- at least one modified traveling salesman (TSP) module (23) which determines a flight map by calculating the cost (C) via the new routes modified in the graph engine (21),
- at least one second controller (30) which is an optimization center managing an energy module (31) and a coverage module (32), which enables the optimization operations to be carried out,
- at least one energy module (31) which minimizes the energy use of the UAV (10) during flight,
- at least one coverage module (32) which allows the UAV (10) to adequately monitor the flight fire area and to control the increase of the displayed area per unit time,
- at least one monitoring unit (40) which sends the images obtained from the UAV (10) to the ground control unit (60),
- in cases where an additional support is required during fire, at least one warning unit (50) which provides situation notification warnings in coordination with the ground control unit (60),
- at least one ground control unit (60) which provides ground control of the UAV (10) manages the mobile charging station (70) and fire support module (80) and establishes information flow,
- at least one mobile charging station (70) which charges the UAV (10),
- at least one fire support module (80) which allows the teams who will assist in fire extinguishing and provide emergency health assistance to be guided to the area when needed by the ground control unit (60).
10 more elements
A method for operating the system which prepares an effective action plan for monitoring the forest fires, planning to extinguish small-scale fires before they grow and controlling and extinguishing large and widely spread fires in order to provide an improvement supported by machine learning comprising a processor, characterized in that it comprises the steps of:
- starting the flight of the UAV (10) under the supervision and control of the ground control unit (60), activating the first controller (20) which provides topology design and path planning (PP), obtaining the fire starting points from the monitoring unit (40) and sending them to the path planning module (22) (1000),
- creating the graph (G) using the fire starting points and elliptical fire model by the path planning module (22) and sending the resulting graph (G) to the graph engine (21) (1001),
- running the graph engine (21) with the obtained graph (G) and obtaining a new graph suitable for the fire monitoring (1002),
- sending the resulting graph to the modified TSP module (23) to obtain a flight plan and calculating the cost (C) (1003),
- determining the height (h) and flight time parameters, which are the optimal parameters for flight, by the energy module (31) and the coverage module (32) using the second controller (30) which is the optimization center (1004),
- informing the warning unit (50) by the path planning module (22) based on the energy consumption and monitored area coverage rate (1005),
- informing the ground control unit (60) of a fire situation and the battery level of the UAV (10) by the warning unit (50) and the monitoring unit (40) (1006),
- determining whether the ground control unit (60) needs fire support (1007) and proceeding to step 1008 when the fire support is needed, or proceeding directly to step 1009 when the fire support is not needed,
- requesting support from the assistive fire teams by the fire support module (80) (1008),
- deciding, by the ground control unit (60), whether the UAV (10) needs charging (1009), and if there is a need for charging, proceeding to step 1011, or if there is no need for charging, sending the area to be displayed back to the ground control center (60) in case that the area to be monitored is completed and the monitored area has reached the coverage area threshold (1010),
- directing the mobile charging station (70) to an available place where the UAV (10) (1011) can be charged.
8 more elements
Dependencies are inferred from the claim text.