4602results about "Launching weapons" patented technology

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.

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.

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).

Load stability systems and methods for stabilizing swinging motions of suspended loads. The load stability systems include a fully automated, self-powered device that employs thrust to counteract and control lateral and rotational motion of an external load. The device is a temporary installment on the load, cable, or boom, and is agnostic to the platform from which it is suspended.

A suppression device for a rotary machine gun includes a body; and a core configured to fit inside the body, wherein the core includes: a plurality of suppression tubes symmetrically oriented around the core with one each of the plurality of suppression tubes corresponding to one of a plurality of barrels of the rotary machine gun, and a redirector at a distal end of the core and including an angled surface to direct propellant gas emitted through a central channel of the core radially outward.

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.

An example system includes a vehicle having a platform, a linear slide configured on the platform, a robotic retrieval system configured on the linear slide, a shelf configured adjacent to the linear slide and a control system that controls a reception of a first item and a second item by the robotic retrieval system and a placement of the first item and the second item, by the robotic retrieval system, on the shelf. A drone can be configured to retrieve the first item or the second item from the robotic retrieval system on the vehicle and deliver the first item or the second item to a destination location. The vehicle can thereby enable delivery of many items without the vehicle stopping or even driving to a specific destination location.

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 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.

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.

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.

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.

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.

The invention discloses a shape adaptive planning and control method for a deformable unmanned aerial vehicle, and the method comprises the steps: carrying out the searching based on an occupied grid map of a scene through employing a variable-size kinematics A * path planning algorithm, and obtaining an initial path; by taking the initial path as an initial condition, shape-adaptive trajectory optimization in a continuous space-time space is carried out to obtain an optimized trajectory, and in the trajectory optimization process, the mass center position and deformation parameters of the unmanned aerial vehicle are optimized at the same time; and based on the optimized trajectory, on the basis of a nonlinear model predictive controller and by combining an incremental nonlinear dynamic inverse algorithm, calculating and compensating external force disturbance and external torque disturbance caused by deformation of the unmanned aerial vehicle and a load, so as to realize shape adaptive control of the deformable unmanned aerial vehicle.

The utility model discloses a road crack patrol unmanned aerial vehicle capable of spraying marks, and relates to the technical field of unmanned aerial vehicles. The utility model provides a road crack inspection unmanned aerial vehicle capable of spraying marks, which comprises an unmanned aerial vehicle frame, four rotating rotors which are distributed at equal intervals are rotatably connected to the top end of the unmanned aerial vehicle frame, undercarriages which are transversely symmetrical are fixedly connected to the bottom end of the unmanned aerial vehicle frame, and the road crack inspection unmanned aerial vehicle further comprises a mounting frame which is fixedly connected to the bottom end of the unmanned aerial vehicle frame. The bottom end of the mounting frame is rotatably connected with a spraying cylinder, the bottom end of the unmanned aerial vehicle frame is fixedly connected with a storage cylinder, the storage cylinder communicates with the spraying cylinder through a hose, the bottom end of the mounting frame is fixedly connected with a driving motor, and an output shaft of the driving motor is connected with the spraying cylinder. Rotor wings are rotated to drive the device to fly to inspect cracks on a road, when the cracks are detected, the spraying barrel rotates downwards to adjust the angle, then paint is sprayed to the cracks for marking, and accurate guidance is provided for follow-up maintenance work.

The invention relates to the technical field of image detection, in particular to a pest and disease identification method and system based on unmanned aerial vehicle remote sensing. The method comprises the following steps: acquiring health indexes of each plant; marking suspicious points; spraying preset hormones to the suspicious points; after a first preset time interval, obtaining the health index of the hormone-induced plant again, and distinguishing whether the plant is pathological abnormality or physiological abnormality according to the change of the health index; on the basis of the pathology and physiology distinguishing result, a definite diagnosis threshold value in a preset range of the suspicious point is adjusted, so that when the plant at the suspicious point is pathologically abnormal and the health indexes of other plants in the preset range adjacent to the suspicious point are abnormal, the condition that the other plants are pathologically abnormal can be detected more sensitively; and using the adjusted pest and disease damage early warning threshold value to identify pest and disease damage conditions of plants of which suspicious points are adjacent to a preset range. According to the invention, the pest and disease states of crops can be detected more accurately.

A device for pneumatic launching of a drone includes a launch tube, a pressurization chamber situated at the rear of the tube and provided with a passage opening leading into the tube, and a device for temporarily closing the passage opening. The temporary closing device is arranged to change from a closed configuration to an open configuration instantaneously under the action of the gas pressure inside said chamber, after the latter has reached a trigger pressure, and the cross section of the passage opening is sufficiently large that, instantaneously with the change to the open configuration, the gas pressure prevailing in the chamber and the space located behind the drone, then in communication with each other, is the desired launching pressure for the drone.

The invention discloses a mooring type high-pressure six-axis curtain wall cleaning unmanned aerial vehicle, and belongs to the technical field of curtain wall cleaning equipment. The water storage bin is vertically mounted below the center of the six-axis unmanned aerial vehicle, and a transfer pipe is mounted below the water storage bin; the high-definition camera is mounted above the fuselage of the six-axis unmanned aerial vehicle; the flushing device is fixed below the fuselage of the six-axis unmanned aerial vehicle, and the flushing device is communicated with the water storage bin; the atomizing and foam throwing unit is installed below the six-axis unmanned aerial vehicle and located on one side of the water storage bin, and an integrated water bin is fixed to one side of the flushing device; a six-axis unmanned aerial vehicle is adopted as the main rack layout, the atomization foam throwing angle can be automatically adjusted through the mainly-arranged atomization foam throwing unit, a foam water agent is evenly sprayed in a large area or centrifugally thrown out in a high-strength mode through a foam throwing disc, and stains on the surface of a curtain wall are flushed; the flushing device can linearly spray out high-pressure water through an alloy direct spray rod, and the efficient cleaning effect on the curtain wall is achieved.

A moving body that can be transported in a state to stabilize the posture of the transport object, without affecting the transport object due to the inclination of the moving body when moving forward. A moving body comprising a holding mechanism that has a rotation unit that rotates in the pitch direction, and approximately horizontally holds an object to be transported from the side near the center of gravity of a transport unit capable of storage or above the center of gravity. Further, a moving body wherein the holding mechanism has a uniaxial rotation unit that rotates only in the pitch direction. Further, a moving body wherein the holding mechanism approximately horizontally holds the transport unit by active control. Alternatively, the holding mechanism approximately horizontally holds the transport unit by passive control.

The invention discloses a plant protection unmanned aerial vehicle operation method fusing weed recognition and real-time variable spraying, and the method comprises the following steps: employing a plant protection unmanned aerial vehicle to carry a multispectral sensor, collecting multispectral data in real time, and generating a high-resolution multispectral image; converting the radiation intensity value into an actual reflectivity value by using a spectral reflectivity standard plate; according to the generated multispectral image, an NDVI value is calculated in real time through an airborne calculation module; in combination with flight path data, mapping the NDVI index and the geographic position of the flight operation; the classification standard of the NDVI value is adjusted in combination with a machine learning algorithm, and a spraying operation prescription map is generated; the electronic control spraying device adjusts the spraying flow in real time; and establishing a spraying model, and calculating an adjustment coefficient alpha to obtain the average pesticide application amount Y per mu. According to the plant protection unmanned aerial vehicle operation method, the spraying amount can be adjusted according to field weed distribution and crop growth vigor, the precision of plant protection operation is improved, the pesticide usage amount is reduced, and environmental pollution is reduced.

The fire-fighting unmanned aerial vehicle comprises an unmanned aerial vehicle body, a bomb filling mechanism and a bomb dropping mechanism, the bomb filling mechanism is installed at the bottom of the unmanned aerial vehicle body and used for filling the fire-extinguishing bomb, and the bomb dropping mechanism is installed in the bomb filling mechanism and used for dropping the fire-extinguishing bomb. The bomb dropping mechanism is used for dropping the fire extinguishing bombs in the bomb filling mechanism; wherein the elastic filling mechanism comprises a columnar shell, and the columnar shell is installed at the bottom of the unmanned aerial vehicle body; the bomb filling mechanism comprises a columnar shell with at least four bomb filling holes in the bottom and is used for storing a fire extinguishing bomb body, the fire extinguishing bomb body is attracted and fixed to an electromagnet through a metal block and is prevented from falling off in flight, filling operation is simple and rapid, and after the unmanned aerial vehicle reaches a fire extinguishing position, a micro motor drives a disc to rotate, and the fire extinguishing bomb body is filled with fire extinguishing bomb. And the permanent magnet at the bottom of the disc triggers the magnetic inductive sensor to power off the corresponding electromagnet to release the fire extinguishing bomb body.

The invention provides a non-contact releasing system and method for a self-positioning image control point device in a steep mountain, and relates to the technical field of large reservoir construction protection and geological disaster monitoring. The device comprises a multi-rotor unmanned aerial vehicle flying platform, a cable take-up and pay-off device, a magnetic attraction device, a self-positioning image control point device, a ground control module, an aerial photography sensor and other modules. According to the application method, the self-positioning image control point device is hung on a flight platform of the multi-rotor unmanned aerial vehicle, the self-positioning image control point device is put at an operation position through the cable take-up and pay-off device, and after operation is completed, the self-positioning device is recycled through the magnetic attraction device, and repeated use is achieved. According to the invention, three-dimensional reconstruction in a steep mountain and non-contact throwing and laying of ground surface deformation monitoring image control points can be realized, automation of image control point measurement is realized, measurable precision, measurement efficiency and safety of a periodic three-dimensional model are improved, and safety risks possibly faced by traditional manual laying and measurement in a steep mountain environment are effectively avoided.

The invention discloses a multi-rotor fire extinguishing bomb throwing unmanned aerial vehicle and a throwing system, and relates to the technical field of unmanned aerial vehicles, the multi-rotor fire extinguishing bomb throwing unmanned aerial vehicle comprises a throwing structure, the throwing structure comprises a clamping structure and a shaft disc, the clamping structure comprises a clamping seat and a releasing structure, the releasing structure is used for driving the clamping seat to release a fire extinguishing bomb, the clamping seat is coaxially assembled on the shaft disc, and the clamping seat is coaxially assembled on the shaft disc; the shaft disc is coaxially assembled on the suspension shaft, the shaft disc is driven by external force to rotate along a central shaft of the suspension shaft, the rotating shaft disc is matched with the clamping seat to throw a fire extinguishing bomb in the direction of the throwing track, the shaft disc is driven by external force to rotate along the central shaft of the suspension shaft, and the rotating shaft disc is matched with the clamping seat to throw the fire extinguishing bomb in the direction of the throwing track. The fire extinguishing bomb is driven to be thrown out at a certain initial speed, so that the fire extinguishing bomb generates a certain displacement in the horizontal direction, and the fire extinguishing bomb generating the horizontal distance can penetrate through a window or other openings of a building to accurately enter a room so as to adapt to different building structures and fire scenes.