89 results about "Air space" patented technology

This invention provides an active flow control method and system based on intelligent algorithms. The method includes: determining the number of inlet parameter sets for a typical flight state point, constrained by simulation economy and sampling efficiency; performing numerical simulations according to the number of inlet parameter sets to obtain dataset 1, with inlet parameters as independent variables and flow field characteristics as dependent variables; obtaining dataset 2, with flight state as independent variables and flow field characteristics as dependent variables, through numerical simulation for a certain set of inlet parameters; constructing a proxy model of inlet flow field characteristics for a typical flight state point using deep learning based on dataset 1; constructing a proxy model of inlet flow field characteristics for a wide-speed-domain flight state based on the proxy model of inlet flow field characteristics for the flight state point, using a transfer learning algorithm and dataset 2; constructing an environment-agent interaction model based on a deep reinforcement learning algorithm, using the proxy model of inlet flow field characteristics for a wide-speed-domain flight state as the environment model for deep reinforcement learning; setting optimization termination conditions based on the environment-agent interaction model, and obtaining a control sequence with continuously optimal inlet performance under different flight states through deep reinforcement learning. This invention can stably adapt to flight scenarios with a wide speed range and a large airspace, and achieve real-time optimal control of the air intake flow field under a wide speed range, solving the problem of poor generalization ability of traditional methods under different operating conditions.

The utility model relates to a storage box technical field, concretely relates to a heating towel storage box, including and box body and lid, the lid covers on the box body forms first cavity, be provided with second cavity in the box body, be provided with heating body, fan and air flue in the second cavity, the air flue one end is connected with the fan, the air flue other end is linked together with first cavity. The utility model discloses through setting heating body, fan and air flue, realizes initiative hot air circulation, makes the towel fast drying and keeps warm, avoids damp breeding bacteria, saves airing space simultaneously. The design optimization of air flue and first cavity intercommunication improves hot air flow path, and the heating efficiency is promoted, and the even heating of towel is ensured.

The application provides a fixed-wing aircraft airspeed calibration flight test method based on a standard machine. The method comprises the following steps: determining the weight of the fixed-wing aircraft as a first weight, setting the aircraft to a specified take-off configuration, and taking off according to a take-off procedure; the standard machine flies to a specified airspace according to a plan; at an initial specified flight height, a tow cone is released to a specified length, and the tow cone can obtain an accurate static pressure value in the current area without being affected by a spoiler; the flap and slot wing configuration of the fixed-wing aircraft is set to a first flap and slot wing configuration; the aircraft is trimmed at a given speed; the speed in the above step is set to other speeds within the speed envelope of the first flap and slot wing configuration, and the steps are repeated; the standard machine obtains airspeed errors under the first flap and slot wing configuration and different speeds; and the airspeed errors under the first flap and slot wing configuration and different speeds are fitted to obtain an airspeed correction curve under the first weight, the first flap and slot wing configuration. More accurate airspeed errors can be obtained.

This application discloses a method and apparatus for collaborative detours. The method includes: a first collaborative module determining a first type of detour path based on the airspace operating conditions of waypoints and / or routes within its managed area; the first type of detour path includes at least one detour path; the first collaborative module screening a second collaborative module based on the first type of detour path and sending the first type of detour path to the second collaborative module for review; if the first type of detour path is approved, the first collaborative module determines that the first type of detour path is usable; if the first type of detour path is not approved, the first collaborative module receiving a second type of detour path, which is determined by a third collaborative module based on airspace operating conditions and includes at least one detour path; the first collaborative module determining that the first type of detour path is usable improves the efficiency of detour plan formulation.

The application discloses a space network networking method and device, a network resource arrangement platform and a storage medium. The method comprises the following steps: in the case that a UAV service accesses a network, the position of the UAV performing the UAV service is determined; the service score corresponding to the cell within the preset distance range from the position of the UAV is determined; the preset number of cells with the highest service score are determined as the space candidate working cells, and the number of adjustable beams of the space candidate working cells is determined; and the space-to-air beam and the ground-to-air beam of the space candidate working cells are determined and set according to the number of adjustable beams. The application solves the technical problems that the UAV space coverage scheme in the related art mostly needs to add equipment for transmission transformation, the cost is too high, the scheme of covering the space by directly using the existing site resources has too great influence on the ground coverage, and the beam resources for covering the space are wasted.

The application is suitable for the field of data processing, and provides a passing path planning method and system, an electronic device and a computer program product, wherein the method comprises: acquiring a space reference space-time network; the space reference space-time network comprises a plurality of space-time edges, each space-time edge connects two waypoints and corresponds to a space-time range between the waypoints; determining at least one target space-time range corresponding to a space emergency event and passing restriction information corresponding to each target space-time range; adjusting a target space-time edge corresponding to the target space-time range in the space reference space-time network based on the target space-time range and the passing restriction information, to obtain a space passable space-time network; and planning a target passing path for each target flight task in the space passable space-time network. The scheme performs fine management on the space, replans the path for the target flight task, and improves the utilization rate of the space resource.

The utility model discloses a detachable aircraft fuselage keel joint belongs to air space aerospace spare part design technical field, include: upper connecting plate, lower connecting plate, positioning pin subassembly and hydraulic locking mechanism, the upper connecting plate is equipped with the taper positioning hole and the wedge guide groove, the lower connecting plate is equipped with the force sleeve of coaxial with taper positioning hole and the dovetail boss of with guide groove matching, positioning pin subassembly is by taper's head pin shaft and self -lubricating bushing constitutes, the head pin shaft is through positioning hole with force sleeve, hydraulic locking mechanism contains high pressure oil cavity, piston push and locking bolt, the piston push is driven after oil pressure and presses the side of dovetail boss, locking bolt is locked after the piston push. The utility model's keel joint has the advantages such as high positioning accuracy, locking reliable, convenient to dismantle.

The present application relates to the technical field of agricultural robot control, and particularly provides an anti-interference convergence method for an agricultural robot cluster based on interaction link dynamics. The method comprises obtaining state information and speed information of each interaction link, determining an interaction topology structure and a connection weight matrix between the interaction links; constructing an edge Laplacian matrix according to the connection weight matrix of the interaction links, and determining a control gain based on all non-zero eigenvalues of the edge Laplacian matrix; determining a control amount of each interaction link according to the state information and speed information of each interaction link, the state information and speed information of a neighbor interaction link, the control gain, and a random interference term; and controlling the state and speed of the corresponding interaction link according to the control amount of each interaction link. The method effectively suppresses the influence of external interference on the link state, guarantees the convergence of the link state, and improves the robustness and cooperative control ability in a complex airspace environment.

The application discloses an airborne control service comprehensive processing system supporting air-ground and air-air cooperative operation, and an airspace multi-state situation comprehensive module combines traffic data, weather data and terrain data with an executing local operation plan or an operation plan to be confirmed for supporting local temporary operation to generate comprehensive situation data; a local temporary control service operation plan generation module establishes an operation plan to be confirmed for supporting local temporary operation considering a potential conflict avoidance space-time region according to judgment on the comprehensive situation data, and outputs the operation plan to a local temporary control service operation plan negotiation module to negotiate with a ground control service system and an airborne system of another aircraft; and the application converts the executing local operation plan or regenerates the operation plan to be confirmed for supporting local temporary operation according to negotiation feedback information. The application can meet the comprehensive service capacity requirement of aircraft operation caused by future change of aviation operation mode.

The application discloses a kind of airspace sector vertical boundary dynamic adjustment method, model establishment, the model establishment includes the following steps, 4D flight path prediction of aircraft in flight, control interval and wake interval constraint, controller workload analysis and calculation process, the present application is based on flight plan and 4D flight path prediction theory, with the angle close to actual operation, the sector aircraft flow in any unit time is designed Unified algorithm, and the approach sector opening strategy is pre-tactical planning, and calculation simulation is carried out with actual regional control area as an example, the algorithm proposed can realize the dynamic adjustment of sector vertical boundary with actual operation, and the calculation result can meet the actual operation needs, better than the current airspace setting scheme, the method can provide theoretical support and decision reference for control operation, with practical use value, the algorithm has strong universality, and the degree of automation is high, can be used for prediction, and can update data in real time in operation.

The application discloses an unmanned aerial vehicle (UAV) autonomous navigation control method, an UAV device, a medium and a program product, and relates to the technical field of UAV control. According to the technical scheme provided by the application, after a target object is lost due to obstruction by an obstacle, the UAV device selects a position with the maximum expected value of unobstructed field of view coverage as an active observation commanding point by systematically evaluating the field of view coverage range and the obstruction relationship of each candidate observation navigation point in the reachable airspace range, and flies to the position to perform target recapture detection, so that the observation position of the UAV device always maintains a spatial corresponding relationship with the real reachable area of the target object, thereby improving the success rate of target recapture and the persistence of a tracking task in a complex scene in which the target object is forced to change a movement direction due to encountering an obstacle.

The application relates to a laser deicing method, device, equipment, storage medium and program product, and relates to the technical field of aircraft deicing. The method comprises the following steps: acquiring a sequence image of an airspace in front of a wing in real time through a binocular camera arranged on the wing, and detecting three-dimensional coordinates of supercooled water droplets from the sequence image; for each supercooled water droplet, tracking a motion trajectory of the supercooled water droplet based on the three-dimensional coordinates of the supercooled water droplet in a plurality of continuous sequence images; based on the motion trajectory, predicting a flight path of the supercooled water droplet in a future preset time length and impact point coordinates of an impact point on a wing surface; determining a target protection zone to which the impact point belongs on the wing surface based on the impact point coordinates, and generating a laser control instruction for a target laser corresponding to the target protection zone; and driving the target laser to emit a laser pulse through the laser control instruction, so as to instantaneously gasify and remove the supercooled water droplets about to be impacted at the impact point. The method can improve the aerodynamic performance of an aircraft and ensure the flight safety of the aircraft.

The present application relates to the technical field of low-altitude operation safety of power-lifting aircraft, and particularly relates to a low-altitude air route planning method and system considering backup landing safety after rotor failure, which comprises the following steps: determining available low-altitude flight airspace, screening backup landing site construction areas in the available low-altitude flight airspace that meet the technical constraints of backup landing site construction and determining backup landing site positions; planning an initial air route and determining backup landing safety evaluation node information; calculating battery discharge power after rotor failure of the power-lifting aircraft at any position; taking total power consumption of the low-altitude air route as a target function, and planning a backup landing safety route of the power-lifting aircraft in a controllable flight state after rotor failure to meet the backup landing safety of the power-lifting aircraft after rotor failure. The present application evaluates the backup landing safety of the power-lifting aircraft after rotor failure at any position, makes up the missing backup landing safety analysis after rotor failure in planning a low-altitude air route, and ensures the safety of the planned low-altitude air route.

This application provides a method for dynamic collaborative allocation of airspace resources based on multi-agent reinforcement learning, belonging to the field of airspace resource allocation technology. The method includes: constructing a low-altitude airspace simulation environment and determining the environmental state space; constructing a set of perception state spaces and combining it with an action space set to construct a multi-objective reward mechanism; performing policy optimization analysis on the agent set to obtain a set of regulating action spaces and a set of regulating perception state spaces; performing conflict detection and resolution on the regulating action space set; converting the target action space set into control command execution, updating the environmental state space, and returning to construct the perception state space set. This application addresses the technical problem in existing technologies where the inability of multiple agents to form spatiotemporally integrated collaborative cognition during policy optimization restricts the efficiency and security of dynamic collaborative allocation of airspace resources, thus achieving the technical effect of improving the efficiency and security of dynamic collaborative allocation of airspace resources.

This invention discloses a distributed data interaction and cooperative flight control method for swarm drones, belonging to the field of drone swarm cooperative control technology. By constructing a dynamic partitioning mechanism for cooperative units and a hierarchical data interaction architecture, a large-scale swarm is divided into multiple autonomous cooperative units, achieving high-frequency cooperation within units and low-frequency interaction between units. Furthermore, by combining consistent intent generation, short-term trajectory prediction, and distributed control correction strategies, the overall flight state of the swarm is jointly regulated. Simultaneously, abnormal event perception, task role reconstruction, and formation self-recovery mechanisms are introduced to achieve continuous and stable flight control of the swarm in complex and dynamic airspace environments. This method effectively improves the cooperation, robustness, and mission execution reliability of the swarm system, and is suitable for cooperative drone operations under multi-scenario, multi-task, and highly dynamic conditions.

This invention discloses a wind- and solar-powered self-sustaining, wind-driven, swirling-flow-unloading, and stable aerobatic aircraft, belonging to the field of low-altitude aerobatic aviation equipment technology. The invention employs a wind-driven, swirling-flow-unloading mechanism, a wind-solar dual-source co-generation unit, nested buoyancy airbags, hollow through-hole conductive slip rings, a universal hinge structure, a ducted fan, an egg-shaped pod, and an intelligent aerobatic identification and coupling docking system. It solves the technical pain points of traditional aerobatic aircraft, such as poor wind resistance and stability, high energy consumption and short endurance, easy cable tangling, uneven buoyancy distribution, clumsy steering, inconvenient storage and transportation, high site dependence, and inability to combine multiple aircraft for expansion. It features strong wind resistance, self-sufficiency in wind and solar energy, long loiter time, stable and constant cabin attitude, omnidirectional maneuverability, modular design for easy assembly, disassembly, and storage, large-scale production, multi-aircraft stacking, low site dependence, and wide applicability. It is suitable for low-altitude sightseeing, passenger commuting, aerial inspection, emergency rescue, cargo logistics, geological observation, and airspace reconnaissance.

A path planning method and system of multi-low-altitude intelligent agent cooperation, electronic equipment and storage medium, relate to the field of flight management, and alleviate the problems of insufficient utilization of vertical airspace resources and low airspace carrying capacity in the prior art. A path planning method obtains a three-dimensional airspace model for a target low-altitude airspace, and then obtains a low-altitude airspace constraint model; based on the task type information of each low-altitude intelligent agent, a flight height constraint model is obtained; a path search method is used to obtain a phased flight path of each low-altitude intelligent agent, and then obtain spatiotemporal occupancy information; the spatiotemporal occupancy information is subjected to conflict detection to plan the phased flight path; the phased flight path is subjected to smoothing, optimization processing and executability verification; and the phased flight path that passes the verification is used as an executable flight path. The present application is suitable for multi-intelligent agent cooperative path planning under conditions such as complex urban low-altitude environment and low-altitude task density improvement.

The present application relates to airspace grid planning technical field, especially in kind of low-altitude air route's multiscale grid airspace construction method, equipment and medium, the method includes: obtaining the safety interval and weight coefficient of various low-altitude aircraft, respectively determine the minimum scale, maximum scale of plane grid and height area, from minimum scale to maximum scale range, corresponding to obtain the maximum level number of plane grid and the maximum level number of height area, and the plane grid scale or height area scale of each level, traverse all possible maximum level and several scale sequence scheme corresponding to each maximum level, to represent the required grid number of each type of safety interval weighted sum minimum as the target, select the optimal level number and corresponding each level scale, corresponding multi-level plane grid and multi-level height area are decoupled combination, construct multiscale three-dimensional grid airspace;The present application can improve airspace utilization and low-altitude airspace route planning flexibility under the premise of ensuring operation safety.

A window well system including at least two window-well modules designed to be stacked is disclosed. Each module has a curved wall including an inner wall section, outer wall sections, an upper surface section unitary with the inner wall section, and a base having several indentations arranged along its underside. Of the outer wall sections, an upper outer wall section is unitary with the upper surface section. Between the upper outer wall section and a lower outer wall section is a curvilinear horizontal ledge. Between the inner and outer wall sections is an air space. Along the horizontal ledge are several projections oriented upwardly and sized and configured to mesh with and fit into the indentations formed in the base of a like window well module to be placed on the upper surface section.

A refrigerator including a cooling system is configured to cool at least one of a refrigeration compartment and a freezer compartment. The refrigerator also includes an ice maker configured in a door of the refrigerator and configured to receive an isolated cold air supply from the cooling system. The ice maker includes a cylinder defining an extruding ice maker cavity. An extruder head is secured to the cylinder, and a plurality of cooling fins are configured radially around an outer surface of the cylinder. An insulation body is configured around the plurality of cooling fins, the insulation body and the plurality of cooling fins defining an air space for circulating the isolated cold air supply.

The present application relates to the technical field of aircraft cooperative control, and discloses a multi-aircraft cooperative airspace division method and device, electronic equipment and a storage medium, the method comprising: acquiring the capability weight value of each aircraft in a target monitoring space, and the physical distance between any position point in the target monitoring space and each aircraft; based on the physical distance and the capability weight value of the corresponding aircraft, calculating the equivalent distance of the position point relative to each aircraft; based on the minimum equivalent distance principle, determining the aircraft to which the position point belongs; and based on the attribution determination result of all position points in the target monitoring space, dividing the target monitoring space into multiple sub-regions, each sub-region corresponding to an aircraft, the present application can be dynamically adjusted according to the dynamic change of the capability of the aircraft, and can ensure that high-performance aircraft cover a larger area of airspace, and low-performance aircraft can automatically reduce the load.

This invention provides a method and system for dynamic countermeasure path planning for unmanned aerial vehicle (UAV) swarms. The method includes: acquiring boundary data, incoming UAV swarm trajectory sequences, and countermeasure UAV swarm state sequences in the countermeasure airspace; performing time consistency verification, coordinate system registration, and validity verification to generate a boundary constraint dataset; constructing a compliance barrier surface based on the boundary constraint dataset; segmenting the incoming UAV swarm trajectory sequences; identifying edge-hugging motion segments and boundary transition features to generate boundary passage corridors, boundary corner blocking areas, and compressible areas on the outer side of the boundary; constructing candidate countermeasure funnel channels based on the boundary passage corridors, boundary corner blocking areas, compressible areas on the outer side of the boundary, and countermeasure UAV swarm state sequences; filtering target countermeasure funnel channels; generating a unit requirement table; and grouping the countermeasure UAV swarm into boundary compression units, corner blocking units, and rear containment units.

The application provides a kind of low airspace collaborative management method and system based on digital twinning, comprising: based on the real-time state data of aircraft obtained, analyzing aircraft maneuverability, flight envelope characteristic parameters, characteristic parameters include maximum speed, maximum acceleration, minimum turning radius, utilize kinematics and dynamics model, depict different aircraft movement law;Combined with real-time flight data of aircraft, through digital twinning technology, real-time synchronization aircraft motion trajectory and attitude change in virtual environment, accurately reproduce aircraft dynamic behavior, provide high-fidelity digital model for flight conflict detection, flight path prediction;For aircraft motion characteristic difference, construct multi-level, multi-granularity digital twinning model, digital twinning model includes airspace structure model at macro level, aircraft group behavior model at mesoscopic level and single aircraft dynamic model at micro level.

The application discloses a kind of ecological sheltering and landscape integration device of low airspace logistics site, it is related to unmanned aerial vehicle logistics technical field, to the problem that landing platform, electronic components of low altitude aircraft are vulnerable to rainwater invasion when outdoor rainfall, including low altitude aircraft, the front end of the low altitude aircraft is provided with control panel, the front end of low altitude aircraft is provided with goods outlet, and control panel is located above goods outlet.The ecological sheltering and landscape integration device of low airspace logistics site disclosed in the application can be quickly unfolded and fitted on the top of the logistics platform during rainfall, completely isolates the contact between rainwater and the landing platform and the electronic components of the logistics platform through the sealing structure of flexible soft pad and compression spring, avoids short circuit, component corrosion and other faults caused by water ingress, directly reduces the risk of equipment damage in outdoor environment, and ensures the technical effect of long-term stable operation of the logistics platform.

The application discloses a GJK-based airspace conflict detection resolution method, comprising the following steps: carrying out grid coding on the airspace through a global latitude-longitude subdivision grid, establishing an airspace set, establishing a rectangular coordinate system, and converting the grid coding into the rectangular coordinate system. The GJK-based airspace conflict detection resolution method firstly expands the range of each airspace by half of the minimum safety interval, then detects whether a conflict occurs in each airspace combination, constructs an airspace conflict objective function, iteratively optimizes the objective function through a particle swarm algorithm, and takes each airspace parameter value in the conflict set output by the particle swarm algorithm, which minimizes the objective function, as a resolution scheme of the conflict set. The whole process is fast, simple and accurate. The relative importance between the position, height and time is determined through an AHP hierarchical analysis method, so that the problem that the cost of adjusting the use position, use height and use time of the airspace is inconsistent is balanced and solved.

A flexible approach trajectory planning method for aircraft in extended terminal areas is proposed. It includes the following steps: designing the airspace structure of the extended terminal area, consisting of a pre-operation area and a dynamic planning area; constructing an aircraft pre-sorting model for the pre-operation area; solving the pre-operation area aircraft pre-sorting model; rasterizing the dynamic planning area airspace into multiple square grids and constructing a network graph; constructing a flexible approach trajectory planning model for the dynamic planning area; and solving the flexible approach trajectory planning model for the dynamic planning area using mathematical programming methods to generate a flexible approach trajectory for each aircraft from the entrance to the exit of the dynamic planning area. This invention, through a collaborative optimization framework of pre-sorting and dynamic trajectory planning in two stages, and innovatively incorporating airspace complexity into the optimization objective, can effectively reduce flight delays and controller workload while improving trajectory flexibility, thereby enhancing the overall safety and efficiency of terminal area operations.

A method for coordinating drones flying in a divided airspace that includes sending patrol instructions to each drone of a set of airborne drones in a divided airspace, where the divided airspace includes mutually exclusive horizontal layers having a ceiling altitude and a floor altitude and at least one transition space layer, where the layers comprise sectors, where the patrol instructions direct the drone into a flight path in a sector, sending first transition instructions to a first drone, where the transition instructions direct the first drone to move from its sector to a transition space layer and from the transition space layer to exit the divided airspace, sending second transition instructions to a second drone, where the second transition instructions direct the second drone to move from outside the divided airspace to a transition space layer and from the transition space layer to the sector of the first drone.

This disclosure provides an intelligent air separation method and system. The intelligent air separation method includes: determining a target operating condition based on key operating parameters of the air separation system; wherein the key operating parameters include at least hydrogen concentration and load rate; determining feasible air separation operation modes within the target operating condition based on data support and operational stability; wherein data support is used to characterize the number of valid samples for the key operating parameters, and operational stability is used to characterize the standard deviation of hydrogen concentration; performing smoothing optimization on air separation control commands for feasible air separation operation modes across operating conditions; and performing air separation operation according to the smoothed and optimized air separation control commands. This disclosure reduces reliance on operator experience through automated operating condition identification and parameter optimization mechanisms, improving practicality and scalability. Furthermore, while ensuring safety and stability, it extends the maintenance cycle of air separation equipment and reduces maintenance costs through refined control optimization of energy consumption indicators.

The application discloses a kind of data intelligent query method and system for air space scene, belong to computer data processing and artificial intelligence technical field.The method includes: receiving user natural language query instruction, based on the element set model of pre-set core element completeness verification is carried out;Structural prompt word containing few sample examples and authority constraint is constructed, and large language model is guided to generate preliminary SQL statement;Introduce rule-driven syntax repair and execution feedback-driven logic correction closed loop, type adaptation and authority injection are carried out to SQL statement.The application solves the query intention ambiguity and SQL generation illusion problem in industrial scene by digital element verification and multiple correction mechanism, realizes high safety, high precision end-to-end data query.