Wildfires release enormous quantities of carbon dioxide and other greenhouse gases in addition to devastating animal habitats, destroying homes, and causing fatalities. Drones equipped with artificial intelligence to navigate through wooded locations, fire-detection hardware, and firefighting hardware can protect the environment by preventing wildfires. Methods can use a drone system that includes one or more drones to prevent wildfires. Each drone can include an infrared camera configured to detect fires. Each drone can fly in view of areas that might have a fire. After detecting a fire, the drone system can put out the fire if the fire is small. The drone system can also notify systems and people who can put out the fire.

Wildfires can quickly grow to enormous scales with devastating environmental impacts. Drone systems that provide early detection of wildfire risks can prevent wildfires before they grow out of control. Methods can use drones equipped with artificial intelligence to navigate through wooded locations and detect fire risks. Drones can include fire-detection hardware and fire-fighting hardware.

A first drone equipped with a high energy Directional Ultrasound Parametric Speaker Array and a second drone equipped with an Acoustic Dispersion Cannon are used to fight wildfire. The first drone is distanced far from a burning flame but in close proximity to a fire target. Both drones are guided by GPS to communicate with remote operators. Once the target is locked, the first drone blasts the target with Amplitude Modulated Ultrasound. The Ultrasound is self-demodulated into a lower frequency audio sound when it encounters a hot flame of richly charged ions. The lowered frequency sound pushes and pulls the flame forward and backward rapidly away from the combustion source, causing it to be disconnected from the flame which instantly cools down and is extinguished. The second drone blasts the combustible source with powerful sonic shockwaves to disperse the still hot particulates further apart to prevent the source being reignited.

A concentric, double hull, damage tolerant airframe vehicle double clad with a lightweight, impact resistant ceramic matrix composite for heat shielding and flame resistance, and fitted with insulation, to provide thermal protection from 35 C. to 1,650 C. of the internal fuselage areas for an extended period of time within an extreme heat environment, that will serve as a semi or fully autonomous vehicle, manned or unmanned, preferably an unmanned aerial vehicle designed as the delivery means to suppress or extinguish flames by repeatedly discharging pressure waves against flames without having to exit the fire environment.

A multi-modular aerial firefighting control method and apparatus for use by firefighters to control fire. The multi-modular aerial firefighting control method and apparatus generally includes multi-modular units that are held together to form an aerial firefighting system. The modular units may work together or independently. The multi-modular system comprises more than one modular unit, fluid, fluid conduit, reservoir, air flow generator, multi-modular unit support structure, aerial suspension system and aerial lift system.

The present invention relates a drone system for transporting liquid or gas from a remote area to a demand area. The drone system (100) includes: a transport pipe (10) for flowing the liquid or the gas; a pump device (201) for suppling the liquid or the gas to the transport pipe (10); a top drone (1) for holding a nozzle (11) coupled to a tip end of the transport pipe (10); a plurality of pump drones (6A, 6B), each of which incorporates a pump (40A, 40B); and a power supply unit (3) for suppling a power to the top drone (1) and the pump drones (6A, 6B) through power cables (5). Each of the pump drones (6A, 6B) has a coupling mechanism (35) for tiltably and rotatably coupling the pump (40A, 40B) to a pump drone body (30).

Systems and methods are provided for controlling a netting by an Unmanned Aerial Vehicle (UAV). A mesh netting includes a plurality of nettings arranged as interspersed layers in a mesh form. Each of the plurality of nettings has fire-resistant property. Further, a battery powered UAV is present at an aerial location. The mesh netting is coupled to the UAV such that the UAV maintains the mesh netting afloat and adjusts at a position such that a particular source of flying embers is covered with the mesh netting. Also, a lifting kite coupled to the UAV at one end and attached to the mesh netting at another end is provided. The lifting kite carries and holds the mesh netting aloft when the UAV brings the lifting kite at an aloft position such that a particular source is covered with the mesh netting.

A concentric, double hull, damage tolerant airframe vehicle double clad with a lightweight, impact resistant ceramic matrix composite for heat shielding and flame resistance, and fitted with insulation, to provide thermal protection from 35 C. to 1,650 C. of the internal fuselage areas for an extended period of time within an extreme heat environment, that will serve as a semi or fully autonomous vehicle, manned or unmanned, preferably an unmanned aerial vehicle designed as the delivery means to suppress or extinguish flames by repeatedly discharging pressure waves against flames without having to exit the fire environment.

A system and method for fire suppression via artificial intelligence having an artificial intelligence (Al) enabled computer command system connected to a network defining a community. The AI enabled computer connected to a plurality of sensors in the community, both stationary and mobile. The sensors communicate data to the system, indicating possible wildfire activity. The system via machine learning and AI techniques dispatches drones with fire suppression technology to locations where wildfire activity is present. The system further provides a method for predicting wildfire spreading locations, as well as a method for suppressing spot fires and protecting homes downwind from a wildfire.

A method of and system for helping building construction team members in significant ways: (i) quickly detect high-risk fire outbreaks and arson strikes to a wood-framed and mass timber buildings under construction; (ii) receiving automatic notifications when fire outbreaks and arson strikes are detected at GPS-specific regions in a building under construction, and (iii) automatically and quickly responding to the detected fire outbreak and/or arson strike using AI-guided and/or VR-guided thermal-imaging flying drones, and AI/guided and/or VR-guided thermally-imaging fire seeking and suppressing robots and drone systems which eliminate these fire outbreaks by directly controlled spray streams of clean anti-fire (AF) liquid on the fire, using only of the water required using conventional fire extinguishing methods.