5439results 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.

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.

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 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.

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.

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.

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 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.

The invention relates to the technical field of power transmission line deicing, in particular to a multi-split conductor flying deicing robot. The flying mechanism is mounted on the aircraft body and used for driving the aircraft body to go up and down; the displacement mechanism is installed on the machine body and used for driving the machine body to walk and move on the upper-layer wire. The first avoiding mechanism is installed on the machine body, an upper-layer deicing mechanism is installed on the first avoiding mechanism, and the first avoiding mechanism is used for driving the upper-layer deicing mechanism to be close to or away from an upper-layer wire; the first avoiding mechanism, the second avoiding mechanism and the flying mechanism are installed on the machine body, and when wire feeding and wire discharging are needed, the machine body can be driven by the flying mechanism to fly to the position above a specified four-bundle conductor. And then the flight mechanism is controlled to descend and land under the assistance of visual identification, so that the displacement mechanism can fall onto the upper-layer wire.

Disclosed herein is methods, systems, and aircraft for performing image analysis for aiding refueling operations. A tanker aircraft includes a camera, a refueling boom, a camera configured to generate a two-dimensional (2D) image of the refueling boom, a processor, and non-transitory computer readable storage media storing code. The code is executable by the processor to perform operations including receiving the two-dimensional (2D) image from the camera, determining 2D keypoints of the refueling boom located within the 2D image based on a predefined point model of the refueling boom, determining a 6 degree-of-freedom (6DOF) pose using the 2D keypoints and the corresponding three-dimensional (3D) space 3D keypoints, optimizing 3D keypoints associated with moveable components of the refueling boom in response to a plurality of boom control parameters to produce optimized 3D keypoints, and estimating a position of a tip of the refueling boom based on the 6DOF pose.

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 invention relates to an unmanned aerial vehicle system based on a flexible mechanical arm. The unmanned aerial vehicle system comprises the flexible mechanical arm and an unmanned aerial vehicle. The flexible mechanical arm comprises a plurality of body section modules and clamping jaw modules, and the adjacent body section modules are connected in series through supporting pipe columns. The body section module comprises a paper folding structure, a pneumatic module and a first shape memory alloy spring; each paper folding structure comprises a plurality of joints, and the multiple first shape memory alloy springs are arranged on the outer side of each paper folding structure; the clamping jaw module is arranged on the body section module at the tail end of the flexible mechanical arm; the unmanned aerial vehicle comprises a flight control system, and the flight control system is used for controlling the flight of the unmanned aerial vehicle and adjusting the working states of the segment module and the clamping jaw module. According to the method, real-time response can be made to key structure parameters such as load, rigidity, position and force control at the same time, the limitation of a traditional single task target is broken through, and the motion state of each joint can be automatically adjusted according to the actual working condition.

The invention relates to the technical field of unmanned aerial vehicle searchlighting control, in particular to an unmanned aerial vehicle searchlighting control system, which comprises a multi-source data acquisition module for acquiring a water surface image and unmanned aerial vehicle flight data; the water surface type analysis module is used for judging a calm or wave water surface according to the image gray variance and the edge density; the searchlighting output sub-control module is used for selecting a lamp control strategy according to a water surface type, identifying a high-confidence target in combination with multiple features and determining a wick power distribution parameter; the searchlighting output execution module drives the lampwick to illuminate according to the parameters; the target real-time tracking module is used for calculating the projection angle adjustment amount of the searchlight to aim at the target; according to the system and the method, the problem that an existing searchlight system cannot dynamically adapt to water surface optical characteristics, suppress reflection interference and accurately illuminate in a complex water environment at night can be solved, and the accuracy and efficiency of target recognition are remarkably improved.

The invention relates to an aerial seeding seed microenvironment prediction system based on sand grain motion simulation and a method thereof, belongs to the field of unmanned aerial vehicle aerial seeding technology and environment simulation prediction, and provides a method for acquiring environment data through a multi-source heterogeneous micro-scale sensing network, predicting flow field data by using a sand grain-airflow coupling simulation engine driven by a graph neural network, and predicting the flow field data by using a multi-source heterogeneous micro-scale sensing network. And calculating a seed motion track and an anti-displacement coefficient through a seed-sand multi-physics field coupling behavior prediction model, and generating a displacement risk probability distribution diagram. And the self-adaptive aerial seeding parameter intelligent optimization system optimizes the hovering height and the ejection parameters according to the parameters, and precise ejection is realized through a variable-rigidity ejection execution mechanism. According to the system, the anti-displacement coefficient of the seeds is remarkably improved to 2.8 times, the problem that the seeds are prone to displacement in the sand wind environment is effectively solved, the precision and success rate of aerial seeding of the unmanned aerial vehicle are improved, and efficient technical support is provided for desertification control.

A fluid storage and supply device comprising a cryogenic reservoir for storing liquefied fluid, a withdrawing circuit comprising a first withdrawing pipe having a first upstream end connected to the upper part of the reservoir and a second downstream end intended to be connected to a user member, the first withdrawing pipe comprising a first heating heat exchanger situated outside the reservoir and a second heating heat exchanger situated inside the reservoir, the withdrawing circuit comprising a set of valve(s) configured to ensure the passage of a flow of fluid circulating from the first end towards the second end by passing through the first heat exchanger and then through the second heat exchanger or by passing solely through the first heat exchanger without passing through the second heat exchanger, characterized in that the device further comprises a system for pressurizing the reservoir comprising a pressurizing pipe separate from the withdrawing circuit and comprising two ends respectively connected to the upper and lower parts of the reservoir, a vaporizing heat exchanger and a set of valve(s) configured to allow the withdrawal of liquid from the reservoir, the heating thereof in the vaporizing heat exchanger and the reintroduction thereof into the reservoir.