Sets of drones are deployed to create an ad-hoc 5G network in a physical environment to collect sensor data and generate a map of the physical environment in real time. Master drones configured with 5G capabilities are deployed to the physical area to create the 5G ad-hoc network, and swarm drones configured with sensors are deployed to gather environmental data on the physical environment. The gathered data is transmitted to the master drones to generate a map. The deployable 5G network is leveraged to identify precise locations for the swarm drones and each instance of sensor data collected by the swarm drones in order to create an accurate and detailed map of the environment. The map can include information regarding the structural layout of the space and environmental characteristics, such as temperature, the presence of smoke or other gases, etc.

An unmanned aerial system (UAS) adapted to measure one or more atmospheric conditions has a frame and a plurality of motorized rotors suspended on arms extending outward from the frame. The UAS further includes a flight control module that includes a computer programmable flight control board and a sensor package that has an air sampling scoop, a first sensor positioned inside the air sampling scoop, and a ducted fan inside the air sampling scoop. The ducted fan is configured to draw air through the air sampling scoop in contact with the first sensor. The ducted fan can be configured to operate only when the UAS is above a predetermined altitude. The UAS may also be configured to operate in a wind vane mode in which wind speed and direction is determined based on the pitch and heading of the UAS.

A computer-implemented method includes receiving a first input associated with an incident location of an incident. A second input associated with a measurement zone surrounding the incident location is received. The method further includes producing, via a display monitor, a set of waypoints associated with a flight path of an unmanned aerial vehicle (UAV) based on the first input and the second input. The set of waypoints is displayed on a satellite aerial map including the incident location.

To reduce environmental influence in flight (including taking-off and landing) of a flying object, main drone current position information acquisition unit acquires a current position of a main drone from a main drone control terminal, and provides the current position to the movement instruction unit. The sub-drone current position information acquisition unit acquires a current position from the sub-drone, and provides it to the movement instruction unit. The movement instruction unit determines a movement position of the sub-drone on the basis of the current position of the main drone. In addition, the movement instruction unit generates a movement instruction for the sub-drone based on a difference between the current position and the movement position of the sub-drone, and transmits the movement instruction to the sub-drone. The drive control unit acquires the movement instruction transmitted from the sub-drone control terminal.

A drone-assisted ballistic system is provided. The ballistic system may include a plurality of mobile devices, a ballistic computer, and a data interface. Each mobile device may be operable to gather wind data along or adjacent to a flight path of a projectile to a target, each mobile device measuring at least wind speed and wind direction. The ballistic system may include at least one static device operable to gather wind data at or near a launch or firing position. The ballistic computer may be in data communication with the plurality of mobile devices to receive the wind data. The ballistic computer may be configured to calculate a wind compensation value for the projectile based on the wind data. The data interface may be in data communication with the ballistic computer to output the wind compensation value to a user in real-time.

An air quality measurement system for a plurality of adjacent ground flares. The system includes a plurality of unmanned aerial vehicles operating aerially above and around emissions from a plurality of adjacent ground flares. Sensors mounted on each of the plurality of unmanned aerial vehicles monitor atmospheric air properties. A data central processing unit receives, collects, and analyzes data from each of the sensors on each of the unmanned aerial vehicles regarding the atmospheric air properties.

Systems and methods implemented by computer for the sharing of weather data are provided, a method notably includes the steps of collecting data during aircraft flights, receiving data relating to the trajectory of a client aircraft; based on said trajectory, selecting relevant weather data in a shared weather database comprising the collected weather data; in response to a request from the client aircraft, communicating the weather data selected according to an exchange control mechanism. Developments describe a weather data exchange control mechanism using smart contracts, the use of confidence scores, computations of correlation between meteorology declared and measured in flight, the use of drones as probes, the use of open sources, of machine learning, of management of time-based and/or space-based validity of the weather data.

A drone-assisted ballistic system is provided. The ballistic system may include a plurality of mobile devices, a ballistic computer, and a data interface. Each mobile device may be operable to gather wind data along or adjacent to a flight path of a projectile to a target, each mobile device measuring at least wind speed and wind direction. The ballistic system may include at least one static device operable to gather wind data at or near a launch or firing position. The ballistic computer may be in data communication with the plurality of mobile devices to receive the wind data. The ballistic computer may be configured to calculate a wind compensation value for the projectile based on the wind data. The data interface may be in data communication with the ballistic computer to output the wind compensation value to a user in real-time.

An atmosphere sampling system includes: an unmanned rotary-wing aircraft platform including: an airframe capable of lifting a selected payload mass; at least one motorized rotor; and, a flight control system including an on-board controller; an atmosphere sampling unit having a total mass no greater than the selected payload mass, and including: a blower preferably having backward-facing blades, an inlet structure to draw in air to be sampled, and an outlet to discharge air after sampling; a plurality of sample containers; and, an indexing mechanism to move selected sample containers, one at a time, into contact with the inlet structure so that samples may be collected; and, a power supply with sufficient capacity to operate the motorized rotor(s), the onboard portion of the flight controller, the blower, and the indexing system.

An unmanned aerial vehicle (UAV) control system includes a first UAV, a second UAV that flies near the first UAV during a flight of the first UAV and is configured to obtain wind information about wind, and flight control means for controlling the flight of the first UAV based on the wind information obtained by the second UAV.