6391results about "Aircraft components" patented technology

An attitude display system for use in an aircraft has at least one display unit visible by a pilot within a cockpit. A symbology generator is configured for receiving input from at least one attitude sensor and generating symbology image data representative of a pear-shaped attitude indicator, distorted vertically to represent a pitch of the aircraft and rotated to represent a roll angle of the aircraft. The symbology generator may further be configured for adding a horizontal line that represents a horizon, a regular trapezoid representing a downward gravity vector at a base of the trapezoid, a pitch angle of the aircraft, split wings representing an angle of attack of the aircraft, and a stall warning in a sawtooth crack shape. A tail portion of a T-shape with the curved top edge is itself curved in a direction opposite that of an aircraft spin direction.

A gimbal includes a first driver mechanism configured to drive a photographing device to rotate around a first rotation axis, a base connected to the first driver mechanism, a second driver mechanism connected to the base, and an arc-shaped shaft arm. An accommodation space is provided on one side of the arc-shaped shaft arm that is close to an axis of the arc-shaped shaft arm. The accommodation space is configured to accommodate the photographing device in a manner that an optical axis of the photographing device is non-parallel to the axis of the arc-shaped shaft arm. The second driver mechanism is connected to the arc-shaped shaft arm and configured to drive the photographing device to slide relatively along the arc-shaped shaft arm and rotate relative to a second rotation axis.

The invention relates to the technical field of artificial intelligence rescue, and discloses an unmanned aerial vehicle and robot dog rescue emergency system and method, and the system comprises an unmanned aerial vehicle cluster module which is used for air data collection, communication guarantee and emergency material distribution; the robot dog cluster module is used for ground environment detection, sample collection and special task execution; the communication cooperation module is used for ensuring information intercommunication and task cooperation between air-ground equipment; the central control module provides task instructions for the unmanned aerial vehicle cluster and the robot dog cluster; the human-computer interaction interface module is used for realizing effective communication between rescue workers and the system; the modules work cooperatively, multi-source data acquisition, three-dimensional scene reconstruction, semantic segmentation, risk assessment, fire spreading prediction and decision support information generation of a disaster site are realized, and a reliable basis is provided for rescue command decision.

An unmanned aerial vehicle (UAV) is disclosed that includes a retractable payload delivery system. The payload delivery system can lower a payload to the ground using a delivery device that secures the payload during descent and releases the payload upon reaching the ground. The location of the delivery device can be determined as it is lowered to the ground using image tracking. The UAV can include an imaging system that captures image data of the suspended delivery device and identifies image coordinates of the delivery device, and the image coordinates can then be mapped to a location. The UAV may also be configured to account for any deviations from a planned path of descent in real time to effect accurate delivery locations of released payloads.

An aerial vehicle includes a center body, two arm assemblies arranged at the center body, a power device, and a driver mechanism mechanically coupled to the arm assemblies. The power device includes two first and two second rotor power assemblies. Each pair of first and second rotor power assemblies are installed at two ends of an arm assembly. The driver mechanism drives the arm assemblies to move relative to the center body such that distal parts of the two arm assemblies move between first and second height positions. In a direction of a roll axis of the power device, the first rotor power assemblies are closer to an installation site on the center body than the second rotor power assemblies. When the distal parts are at the second height position, spacing between the first rotor power assemblies is larger than spacing between the second rotor power assemblies.

The invention discloses an unmanned aerial vehicle-mechanical arm system cooperative control method for precise spraying. According to the method, through a depth camera and a point cloud reconstruction algorithm, three-dimensional modeling of a target surface and semantic recognition of a spraying area are achieved, and a spraying path and spraying posture data are generated. Based on spraying task requirements, a spraying film thickness experience estimation model is established, and path point-level spraying parameters are obtained. Load mass change, mechanical arm mass center change and spraying reaction force of each path point are calculated, and a coupling dynamic model is constructed in combination with the system state. And dynamic compensation control input is generated by using an adaptive sliding mode control algorithm. After spraying is completed, the actual spraying effect is collected through image and point cloud detection, color, film thickness and texture features are extracted and compared with task requirements, error feedback is generated, and control parameters are adjusted online. According to the method, the problems of dynamic change and error compensation in the spraying process are effectively solved, and the method is suitable for a high-precision spraying task in a complex environment.

An introduced autonomous aerial vehicle can include multiple cameras for capturing images of a surrounding physical environment that are utilized for motion planning by an autonomous navigation system. In some embodiments, the cameras can be integrated into one or more rotor assemblies that house powered rotors to free up space within the body of the aerial vehicle. In an example embodiment, an aerial vehicle includes multiple upward-facing cameras and multiple downward-facing cameras with overlapping fields of view to enable stereoscopic computer vision in a plurality of directions around the aerial vehicle. Similar camera arrangements can also be implemented in fixed-wing aerial vehicles.

Technology for generating and displaying a graphical user interface for operating an unmanned aerial vehicle (UAV) is disclosed herein that generates and updates a representation of a spline flight path. In various implementations, a graphical user interface detects user interactions with a remote control device directing the flight control subsystem of the UAV to record keyframes and to compute a spline based on the keyframes during flight. The graphical user interface displays a real-time perspective of the UAV with a representation of the spline and the keyframes overlaying the view. The graphical user interface continually updates the representation as the UAV flies and when the spline is updated as the keyframes are updated.

The present invention relates to a method for remotely and / or autonomously harvesting a tree from air. The method comprises detecting by at least one sensor on a UAV (100) a tree to be harvested, positioning a harvesting tool (105) comprising delimbing means (114) carried by the UAV (100), by using information from the at least one sensor, at a predetermined distance above a canopy of the tree to be harvested, releasing the harvesting tool (105) in a first mode from the UAV (100) from the predetermined distance above the canopy of the tree to be harvested, setting the harvesting tool (105) in a second mode when the harvesting tool (105) has the tree top (131) within its tree receiving area (177). At least a portion of the harvesting tool (105) is below the tree top (131) of the tree to be harvested while the harvesting tool (105) has a certain speed >0 in a downward direction. The first and second mode differ with respect to the tree receiving area (177) of the delimbing means (114) in the harvesting tool (105). The tree receiving area (177) refers to the area in between open and closed delimbing means (114).

An unmanned aerial vehicle includes: a mooring member capable of mooring an article; a linear member connected to the mooring member; a reel around which the linear member is wound. The unmanned aerial vehicle acquires information relating to wind strength around the article when the article is to be lowered from the unmanned aerial vehicle by controlling the reel; and controls the reel so as to provide a feeding amount of the linear member in dependence on the wind strength, on the basis of the acquired information.

The invention relates to the technical field of image recognition, and discloses a multispectral image and deep learning-based forest disease and insect pest automatic recognition method, which comprises the following steps of 1, carrying a multispectral camera containing a red edge wave band through an unmanned aerial vehicle to obtain a forest region image; 2, calculating a red edge normalized vegetation index of the image; 3, performing time sequence modeling on the red edge normalized vegetation index data of more than five consecutive periods, and inputting a time sequence convolutional network to generate an early lesion probability graph; 4, detecting a pest and disease damage target by adopting a multi-scale adaptive feature pyramid network; 5, outputting a disease and pest distribution thermodynamic diagram; and 6, driving the unmanned aerial vehicle cluster to execute precise pesticide spraying. According to the method, through the high sensitivity of the red-edge wave band to chlorophyll degradation and in combination with sequential convolutional network dynamic modeling, an initial lesion area can be recognized 7-10 days before disease development, the early disease recognition capability is remarkably improved, the disease discovery period is shortened, and large-scale disease diffusion is effectively avoided.

Disclosed in the present invention are a multi-source aviation remote sensing data acquisition apparatus, system and control method, which are applied to the technical field of aerial survey remote sensing. The apparatus comprises: a flight platform and an airborne device disposed on the flight platform. The airborne device comprises: a multi-sensor ultra-compact integrated device, an airborne integrated synchronization control device, and a GNSS receiving antenna. The multi-sensor ultra-compact integrated device and the airborne integrated synchronization control device are connected by means of cables, and the GNSS receiving antenna is disposed on an upper end face of the flight platform. The multi-sensor ultra-compact integrated device is used for acquiring multi-source remote sensing data; and the airborne integrated synchronization control device is used for controlling the operation of the multi-sensor ultra-compact integrated device. The present invention ultra-compactly integrates a LiDAR, a hyperspectral camera, a thermal infrared camera, and a visible-light camera on the basis of a high-precision inertial navigation system, and achieves efficient synchronous acquisition of texture, spectral, temperature, and geometric information by means of using an integrated control subsystem.

An artificial intelligence (AI) entry management (EM) security system includes a camera, a microphone, a motion detector, a speaker, and a software platform. Geofences are utilized to create boundaries around physical areas, such as locations for package delivery or property boundaries. The EM device and other devices connected to the software platform are configured to monitor the geofences and detect a presence of an activity, an event, an object, or a device. At least one license plate reader is utilized to read license plate characters. Voice recognition and voice identification are used to grant or deny permissions for individuals on a property.

The invention relates to an aircraft high-speed throwing control method and device and electronic equipment, and relates to the technical field of aircraft flight control, and the method comprises the steps: calculating an optimal control instruction sequence in a preset time domain in a rolling manner based on an expected throwing trajectory, a predicted throwing trajectory model and a multi-objective optimization function, and generating a main control quantity, the main control quantity is a control instruction in the optimal control instruction sequence; performing feedforward compensation on the main control quantity based on the disturbance observation result, and performing superposition processing of the sliding mode control quantity on the main control quantity after feedforward compensation based on the disturbance observation result to obtain a superposed main control quantity; high speed throwing of the aircraft cargo is performed based on the superimposed master control quantity. Through application of the scheme, the problem of throwing track deviation caused by posture change and airflow disturbance is effectively solved, it is ensured that the goods can accurately reach the target position according to expectation, and the accuracy of goods throwing is remarkably improved.

The invention relates to the technical field of desertification control, in particular to a sand barrier aerial seeding collaborative layout optimization system and method based on an unmanned aerial vehicle cluster game, which constructs a microenvironment digital model of terrain, wind field, humidity and temperature through a multi-mode desert microenvironment sensing module and combines with a sand barrier-vegetation coupling dynamic model. Space-time correlation between sand barrier configuration and vegetation growth is achieved, the self-adaptive sand barrier parameter optimization module and the precise seed aerial seeding control module work cooperatively, seed putting is optimized, the sand stabilization efficiency and the vegetation survival rate are remarkably improved to 60%-75%, the treatment period is shortened to 1.5-2.5 years, and the control cost is reduced. The closed-loop feedback and dynamic optimization module further ensures continuous improvement of the treatment effect, a traditional'sand blocking 'strategy is converted into'ecological microenvironment engineering', a complete microenvironment regulation and control mechanism is constructed, the treatment efficiency is improved by 35%-50%, and fundamental change of the treatment concept is achieved.

Unmanned systems, and primarily vehicles, and in most embodiments unmanned aerial systems (UAS), as well as novel guided and unguided munitions are presented herein. to the two combine to present unmanned weaponized systems that not only carry weapons functionality, but allow for advanced observation and reconnaissance. These unmanned systems are largely directed toward military applications where the weaponized unmanned system may be forward deployed to allow human warfighters to remain at long range distances from the potential targets, and to provide surveillance, target identification and tracking, general reconnaissance information, and the like, while also providing weaponized attack capabilities. The unmanned systems may, in some embodiments, include advanced command and control capabilities for communication between the system and the remote, rear-positioned warfighter, and between separate elements of the unmanned system. Many embodiments also include weapons systems, munitions, or rounds with guidance and real-time maneuverability capabilities as well.

The invention discloses an intelligent forest fire prevention method and system, and aims at solving the problems of monitoring failure, information updating lag and low prediction precision of a traditional method in a severe environment by integrating multi-source real-time data and adopting deep learning and a dynamic probability model to realize accurate identification of a fire disaster and fire spreading prediction. Through an intelligent path planning algorithm and an unmanned aerial vehicle autonomous fire extinguishing technology, real-time response to dynamic changes of a fire scene and flexible adjustment of a fire extinguishing strategy are realized, the fire extinguishing efficiency and safety are improved, a fire extinguishing effect data acquisition and feedback mechanism is established, and the defect that a traditional system lacks effect evaluation after fire extinguishing is overcome. And a reliable basis is provided for subsequent model optimization and decision improvement, so that the forest fire early warning and emergency response capabilities are integrally improved.

The invention belongs to the technical field of solid-liquid phase change heat dissipation, and discloses a memory alloy-based phase change expansion buffer structure, which comprises an elastic structure, a supporting structure, a thin wall, a cavity, a flaring, an electronic device, a heat sink, fins, a connecting structure and a phase change material, the thin wall is made of shape memory alloy and separates the internal cavity and the external phase-change material, the internal cavity is communicated with the external environment through the flaring, and in the flying process of the aerospace vehicle, external airflow flows into the flaring to take away heat stored by the phase-change material continuously. Based on the shape memory function of the memory alloy, additional space expansion buffering can be provided for the phase change material when the temperature changes, and stress damage caused by phase change expansion is avoided. The memory alloy thin wall and the elastic supporting structure are combined, the structure is simple, no moving part exists, circulating work in the high-temperature environment and the low-temperature environment can be achieved, local hot spots caused by internal gap movement of the phase change material in the circulating phase change process are reduced, and heat transfer deterioration is avoided.

A machining head with active correction of the type used in association with a robot to carry out fast high-precision machining tasks especially on parts for the aeronautical production industry that has localised position and angular sensors, and a machining motor or spindle provided with localised movement with respect to the head casing, independent of the robot's movement, this movement being preferably both displacement and rotation with respect to both, allowing active correction of the machining position is disclosed. The invention provides the main advantage of allowing errors by the robot or deformation of the part to be machined, in positioning for machining, to be corrected in a localised very fast and accurate way, without the need to re-position the robot.

The invention discloses a three-dimensional space self-adaptive unmanned aerial vehicle accurate spraying method and system and an unmanned aerial vehicle. The method relates to the technical field of unmanned aerial vehicle spraying, and comprises the following steps: scanning a spraying area on the bottom surface of a viaduct through an unmanned aerial vehicle to obtain unmanned aerial vehicle spraying quality data, and analyzing, optimizing and adjusting the unmanned aerial vehicle spraying quality data. The method comprises the following steps: scanning a spraying area on the bottom surface of a viaduct through an unmanned aerial vehicle to obtain three-dimensional point cloud data, adaptively generating a flight path and a spraying track of the unmanned aerial vehicle based on the data, flying according to a planned path and spraying, collecting spraying quality data through a sensor, analyzing the spraying quality data, and determining the spraying quality of the viaduct. The dynamic liquid level monitoring error quantized value and the unmanned aerial vehicle precise spraying method stability quantized value are obtained and analyzed with threshold values in a database, the unmanned aerial vehicle precise spraying method is optimized and adjusted, the stability of the unmanned aerial vehicle precise spraying method is improved, and the problem that in the prior art, an unmanned aerial vehicle precise spraying method is insufficient in stability is solved.

An aerial vehicle configured to fly with a load suspended therefrom includes a lift generator configured to generate lift for flight, a plurality of supports configured to support the load, an attachment to which the supports are attached, and a relay to relay and support the supports between the load and the attachment. One of the attachment and the relay is outward of, in an airframe of the aerial vehicle, an other one of the attachment and the relay in a plan view.

The invention relates to the technical field of unmanned aerial vehicle inspection, and provides an unmanned aerial vehicle-based forest fire prevention inspection and disposal method, device and system. When an inspection unmanned aerial vehicle equipped with a multi-modal sensor is deployed to cruise according to a preset route, a visible light camera of the inspection unmanned aerial vehicle continuously collects forest region videos and transmits the videos to edge computing equipment of an inspection airport; fire hazards are analyzed in real time through a target recognition algorithm, and when a fire source is detected, position information is reported to a background terminal immediately; the system automatically dispatches the nearest fire extinguishing airport to dispatch the fire extinguishing unmanned aerial vehicle, and secondary accurate positioning is performed on a fire source by using the airborne infrared vision module, so that accurate throwing of the fire extinguishing bomb is ensured. The whole system enhances the real-time analysis capability through the edge computing device, breaks through the single-machine computing power limitation, also realizes the full-process automation from fire behavior recognition to fire extinguishing treatment, and significantly improves the response efficiency and treatment safety of forest fire prevention.

A flight path clearing system comprising a laser beam system in an aircraft and a controller. The controller is configured to select a number of characteristics for a laser beam based on an object type. The controller is configured to control the laser beam system to emit the laser beam with the number of characteristics in a direction relative to a flight path of the aircraft. The controller is configured to control the laser beam system to move the laser beam with the number of characteristics selected for the object type to scan an area using a pattern that is based on a sequence of locations in the pattern being nearest to a center of the area, wherein a number of objects of the object type hit by the laser beam is cleared from the flight path.

A gas leakage detection apparatus may include a movement control unit that controls a movement of a moving object on which a gas sensor is mounted. The gas leakage detection apparatus may include an acquisition unit that acquires a measurement result of target gas that is obtained by a measurement by the gas sensor while the moving object is moving over a target area, and a response time from a start of a measurement of the gas sensor until an output of the measurement result. The gas leakage detection apparatus may include a detection unit that detects a leakage of the target gas in the target area based on the measurement result and the response time. The detection unit may detect the leakage of the target gas in the target area based on the measurement result and location information of the moving object, to identify a gas leakage spot.

The invention relates to an autonomous flight unmanned aerial vehicle interception system carrying an anti-riot capture net gun, and aims to realize intelligent identification and accurate interception of a high-dynamic target. The sensing module collects multi-source data such as images, laser radar, air pressure and wind speed and fuses the multi-source data to generate a flight space topological graph, and the recognition module extracts target position, speed and deformation information according to the graph and outputs target motion parameters and deformation characteristics. The control unit constructs a target trajectory prediction model and a risk level incidence matrix based on the information, and dynamically generates an interception path, a posture adjustment instruction and a capture trigger strategy. The propulsion assembly adjusts the three-dimensional pose of the aircraft in real time according to the pose adjustment instruction, has anti-interference stability and is suitable for flight in a complex environment. The launching assembly is integrated in the aircraft structure and completes anti-riot net gun launching and target capturing according to a triggering strategy. The system has autonomous perception, dynamic prediction and accurate execution capabilities, and is suitable for target interception and control tasks in complex scenes.

Autonomous aerial vehicle technology and, more specifically, environmental illumination for autonomous unmanned aerial vehicles involves, in some embodiments, a UAV including upward-facing image capture devices, downward-facing image capture devices, one or more illumination sources, and a computer system. The computer system is configured to direct the one or more illumination sources to selectively emit light into a surrounding physical environment while the UAV is in flight, process images captured by any one or more of the plurality of upward-facing image capture devices or the plurality of downward-facing image capture devices to estimate a position and / or orientation of the aerial vehicle, generate a planned trajectory for the aerial vehicle through a physical environment based on the processing of the images, and control a propulsion system and / or flight surface of the aerial vehicle to cause the aerial vehicle to autonomously maneuver along the planned trajectory.

A UAV including a wing attached to a fuselage body, a rotatable cargo bay in the fuselage body, the cargo bay having an entrance for receiving the payload, an actuator in the fuselage body operable to rotate the cargo bay about a pivot axis into a first position where the entrance of the cargo bay is positioned above the fuselage body to allow for entry of the payload into the cargo bay, and the cargo bay extends through an opening in an upper surface of the fuselage body, rotatable into a second position where the entrance of the cargo bay is positioned within the fuselage body during transport; and rotatable into a third position where the entrance of the cargo bay is positioned below the fuselage body to allow for exiting of the payload, and the cargo bay extends through an opening in a lower surface of the fuselage body.

An introduced autonomous aerial vehicle can include multiple cameras for capturing images of a surrounding physical environment that are utilized for motion planning by an autonomous navigation system. In some embodiments, the cameras can be integrated into one or more rotor assemblies that house powered rotors to free up space within the body of the aerial vehicle. In an example embodiment, an aerial vehicle includes multiple upward-facing cameras and multiple downward-facing cameras with overlapping fields of view to enable stereoscopic computer vision in a plurality of directions around the aerial vehicle. Similar camera arrangements can also be implemented in fixed-wing aerial vehicles.

The present invention provides a forestry pest monitoring drone, comprising a drone body, a camera, a main control unit, a positioning unit, and a spray paint marking device; the main control unit is used to transmit the image data captured by the camera back to the terminal control device to determine whether the trees in the forest area are pest-prone; the positioning unit is used to locate when the drone body flies to a position less than a preset distance from the trees where the pests occur and transmit the positioning position back to the terminal control device to mark the position of the trees where the pests occur; the spray paint marking device is used to spray paint on the trees where the pests occur to mark the position of the trees where the pests occur for a second time. Therefore, when the trees where the pests occur are prevented and treated, the trees where the pests occur can be found conveniently and quickly. The problem of low efficiency in the prior art of accurately marking the trees where the pests occur by manual means when the trees where the pests occur are monitored is solved.