409 results about "Low altitude" patented technology

The application discloses an automatic sorting equipment for low-altitude logistics, which comprises a conveying mechanism for conveying packages and a support table, wherein the support table is provided with a sorting mechanism for sorting the packages and a plurality of storage mechanisms, the sorting mechanism is arranged on one side of the conveying mechanism, the plurality of storage mechanisms are used for storing the sorted packages, and the plurality of storage mechanisms are arranged on the side, away from the conveying mechanism, of the sorting mechanism, a mechanical arm is arranged between adjacent sorting mechanisms, a grabbing assembly is installed on the mechanical arm, and a parking table for parking a drone is arranged on one side of the storage mechanism. The application can significantly reduce the waiting time of the drone, improve the operation efficiency of the whole process of "sorting-loading-distribution" of the low-altitude logistics, fully exert the time advantage of the low-altitude logistics, realize the rapid processing of priority packages, meet the efficient sorting demand of hundreds or even thousands of packages per day of the low-altitude logistics, and reduce the labor cost and the sorting delay rate.

A multi-target tracking and monitoring method and system with high trajectory consistency, belonging to the field of computer vision, solves the problems of identity switching and trajectory fragmentation caused by long-term target occlusion and dense interaction in multi-target tracking, especially in UAV monitoring scenarios. The method includes the following steps: 1. Inputting a video sequence, performing target detection and feature acquisition for each frame; 2. Performing preliminary association through a basic tracker to obtain an initial trajectory; 3. Detecting the disappearance and appearance of abnormal trajectories using a position awareness submodule; 4. Storing abnormal trajectory features using a long-term memory submodule; 5. Performing secondary association using a multi-step cross-frame matching submodule; 6. Completing trajectory updates. This invention is applicable to UAV monitoring scenarios such as high-altitude inspection, low-altitude operations, and outdoor scene monitoring.

The utility model discloses an unmanned plane intelligent base station for mine low altitude inspection, including electrical box and cabin, the periphery of electrical box is provided around cabin, and is fixed on the peripheral wall of electrical box, one tray that rotates around electrical box is installed in the cabin close to the bottom side, and the tray is driven with drive arrangement and thus realizes automatic rotation, a plurality of parking aprons are arranged on the tray at equal angles, and the center of the parking apron is embedded with the charging coil assembly of wireless charging device, and the baffle ring is arranged in the parking apron, the top of cabin is provided with the automatic sealing door of upper opening in the position of one of the parking apron, the top of cabin is installed with RTK reference station, is located in the different position of cabin inner wall, and a plurality of UWB anchor point equipment are installed with different height dispersion, the utility model discloses the cabin of surrounding structure, the tray of rotation type, can load multiple unmanned planes at a time, and the utility model discloses the mode of taking turns charging can realize the sustained patrol of unmanned plane to mine low altitude through the group flying.

The application provides a real-time conversion method for pixels and geographic latitude and longitude in low-altitude photogrammetry, which comprises the following three parts: unmanned aerial vehicle capability confirmation, real-time conversion service implementation deployment for pixels and geographic latitude and longitude in low-altitude photogrammetry, and GIS geographic information platform integration docking. Through real-time data collected by an unmanned aerial vehicle, combined with a computer vision algorithm and a spatial geometric transformation model, the specific pixel points in image data are associated with real geographic coordinates, so that accurate positioning and measurement of ground objects are realized. The application relates to the technical field of low-altitude photogrammetry, and through the cooperative work of real-time data collection by an unmanned aerial vehicle, real-time conversion service for pixels and geographic latitude and longitude in low-altitude photogrammetry, and a GIS geographic information platform, efficient mapping from a photographed image to a geographic coordinate is realized, and accurate and rapid technical support is provided for low-altitude photogrammetry.

The application belongs to the technical field of low-altitude aircraft detection, and particularly relates to a static electricity radar device for low-altitude aircraft detection and a working method thereof. The device comprises: a metal spherical shell configured to be grounded; an insulating material arranged on the surface of the metal spherical shell; a plurality of static electricity sensing electrodes embedded in the insulating material, the plurality of static electricity sensing electrodes being arrayed on the surface of the metal spherical shell, and the normal directions of the plurality of static electricity sensing electrodes converging at the geometric center of the metal spherical shell; and a signal processing module comprising a gating unit, a conditioning unit and a processing unit. The gating unit is connected to the static electricity sensing electrodes and is used for selecting specified static electricity sensing electrodes to be connected to subsequent circuits in time. The conditioning unit is configured to convert the induced charge signals into voltage signals and amplify and filter the voltage signals. The processing unit receives the digitized static electricity signals, and analyzes the spatial pose information of the low-altitude aircraft according to the signal intensity difference of different static electricity sensing electrodes. The spatial positioning of the low-altitude aircraft is realized by using the static electricity sensor array.

This invention provides a method, apparatus, and electronic device for road congestion analysis from the perspective of a low-altitude unmanned aerial vehicle (UAV). The method includes: determining a pixel offset height; determining a target road inspection image based on an initial road inspection image to be identified; determining vehicle detection results of the target road inspection image based on the pixel offset height and the target road inspection image; determining vehicle target feature extraction results of a corresponding reference road inspection image for the target road inspection image, and determining target road congestion discrimination data based on the vehicle detection results of the target road inspection image and the vehicle target feature extraction results of the reference road inspection image; acquiring road congestion analysis data when the target road congestion discrimination data indicates road congestion; and determining the road congestion analysis result based on the road congestion analysis data. This invention can improve the accuracy of road congestion analysis.

This invention discloses an accelerated safety assessment method and system for low-altitude navigation systems based on alternating cross-entropy and importance sampling, relating to the fields of computer simulation and safety assessment technology. The method includes: constructing a probabilistic risk assessment model and initializing a proposal distribution; entering an alternating iterative loop: first, performing importance sampling assessment, calculating accident rate estimates and statistical errors; if the error does not meet accuracy requirements, initiating cross-entropy optimization, updating the proposal distribution parameters using simulation data; the new distribution is fed back to the next round of assessment. This loop continues until the results converge, and an assessment report is output. This invention, through a closed-loop feedback mechanism of alternating assessment and optimization, enables the sampling distribution to adaptively approximate the optimal distribution, intelligently focusing simulation resources on high-risk scenarios, solving the computational efficiency bottleneck of assessing extremely low probability events, achieving an order-of-magnitude improvement in assessment efficiency, and possessing high adaptability and engineering practical value.

The application discloses a kind of low airspace in aircraft mission set of airfield comprehensive evaluation method of operation efficiency, its method includes: constructing airspace gridding low airspace grid map;Obtain the flight mission data of all aircraft of airspace grid and according to the aircraft position of research time period corresponding to gather in the airspace grid of low airspace grid map;Airspace grid comprehensive evaluation model includes operation evaluation index system, index evaluation calculation module and dynamic weight adjustment module, and index evaluation calculation module calculates the evaluation value of each index item of airspace grid;Dynamic weight adjustment module is internally provided with the dynamic weight adjustment rule of conflict safety class index and the collaborative adjustment rule of non-security class index;Airspace grid comprehensive evaluation model calculates and obtains the comprehensive evaluation value of airspace grid.The application can realize the dynamic adjustment of index weight of operation evaluation index system based on the total conflict entropy of airspace grid, realizes the scientific evaluation and decision of core safety in airspace grid and efficiency.

1. Name of the product in this design: Detection and Direction Finding Device (Outpost B-D). 2. Purpose of this design: For detecting and measuring the direction of low-altitude unmanned aerial vehicles (UAVs). 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

This invention belongs to the technical field of aviation transponder pulse overlap signal separation methods, specifically relating to a separation method applicable to Mode A / C aviation transponder pulse collision conditions. By analyzing the differential characteristics of the Mode A / C aviation transponder signal waveform in the time and energy domains, the pulse collision signal is effectively split. Based on the waveform definition characteristics of the Mode A / C aviation transponder signal, the pulse frame is accurately recovered from the separated signal, ultimately completing the separation process of the Mode A / C collision pulse signal. This invention requires only a single-channel receiver to achieve signal separation, reducing system implementation costs and engineering difficulty, effectively improving the system monitoring capability in densely overlapping electromagnetic environments, and providing an efficient and engineered solution for transponder pulse signal separation tasks in scenarios such as air traffic surveillance and low-altitude airspace management.

The application discloses a kind of fog environment-oriented adaptive dual-path unmanned aerial vehicle detection method and system, belong to computer vision, image processing and low-altitude safety monitoring cross technical field.The present application aims to solve the problem of high false negative rate, waste of computing resources, dehazing and detection task mismatch in the fog environment of prior art.The method comprises: receiving input image and calculating global fog concentration coefficient;With preset threshold 0.52 comparison, adaptive selection dehazing enhancement path or direct detection path;Moderate fog through ASC image enhancement network processing image;Finally, through improved YOLO P2 target detection network execution detection.The application realizes computing resource on-demand allocation, improves the fog micro-target detection precision and system real-time, applicable to low-altitude safety monitoring scene.

This invention discloses a city low-altitude user equilibrium system with generalized cost, comprising: constructing an air-ground cooperative three-dimensional transportation network for users to travel between origin and destination in low-altitude environments; defining a generalized path cost model and constructing an air-ground cooperative three-dimensional transportation network cost model based on the topology of the network; transforming the user equilibrium problem in the air-ground cooperative three-dimensional transportation network into a variational inequality model based on traffic flow within the network; and solving the variational inequality model using a combination of the K-shortest path algorithm and adaptive projection method to calculate the equilibrium flow of the air-ground cooperative three-dimensional transportation network, thereby completing the planning of the city low-altitude travel system. This system accurately characterizes many real-world factors considered by users when traveling in the air-ground cooperative network, providing decision support for urban management departments to effectively construct and fully utilize the performance of the city's three-dimensional transportation network.

This invention discloses a low-altitude sensing system and its trajectory fusion method. The low-altitude sensing system includes a low-altitude management platform and a sensing base station system. The sensing base station system includes a baseband unit and an active antenna unit. The active antenna unit detects low-altitude flying targets and generates raw trajectory data containing the longitude, latitude, altitude, speed, and trajectory identifier of the detected targets. The baseband unit performs real-time correlation, deduplication, and trajectory fusion processing based on a multi-level cache queue on the raw trajectory data to obtain fused trajectory data, which is then reported to the low-altitude management platform. The low-altitude management platform visualizes the trajectory data reported by the baseband unit. This invention solves the problem of unstable and easily changing target trajectory identifiers (TrackId) under asynchronous sensing data from multiple AAUs. By using weighted election and a multi-level caching mechanism, this invention outputs a continuous, stable, and reliable unified trajectory, improving the accuracy and robustness of low-altitude target tracking.

1. The name of the design product: Scene monitoring radar (SPM12K). 2. The use of the design product: for low-altitude moving target detection and awareness. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The application provides a radar low-altitude target intelligent identification method based on multi-dimensional feature fusion and double-mode decision, and relates to the technical field of radar data processing. The method comprises: processing the radar signal, extracting the radar features and motion features of the target; through an iterative feature collinearity elimination method based on the vector angle, a high-quality and low-redundancy feature set is screened out, on the basis of which, a single-cycle identification model and a continuous-cycle identification model based on a machine learning model are respectively constructed, and the hyperparameters are optimized through Bayesian optimization, the discrimination results of the two models are integrated through a weighted fusion strategy, and the final category determination of small unmanned aerial vehicles, medium-sized unmanned aerial vehicles, birds and air balls is output. The method realizes high-precision and high-efficiency low-altitude target identification, has high trajectory identification accuracy, extremely low resource occupation, and has excellent engineering landing value.

This application relates to the field of airborne power management for low-altitude aircraft, and provides a power-on soft start and surge suppression method for low-altitude aircraft mission payloads. The method is applied to low-altitude aircraft and includes: upon receiving a power-on command, first performing a pre-charging operation on the energy storage capacitor on the input side of the power supply system; after pre-charging, first outputting multiple 48V DC voltages, then starting the DC-DC conversion module to output a 24V DC voltage; during the operation of the 48V and 24V DC voltage outputs, the load current of each branch is monitored in real time; when a surge current exceeding a preset threshold is detected, a current limiting adjustment operation is performed to limit the surge current within a safe range; when an abnormal input voltage or an overcurrent fault is detected in a branch, the output of the corresponding branch is cut off, while maintaining normal power supply to non-faulty branches. This method is adapted to the special operating environment and power supply requirements of low-altitude aircraft mission payloads.

This invention relates to low-altitude security in petrochemical plant areas, specifically to a method and system for creating a three-dimensional safety map of petrochemical plant areas. The method involves multi-level grid subdivision of the petrochemical plant area based on GeoSOT, matching grid accuracy according to target size, and generating a unique BeiDou grid code for each grid cell. Multi-source data is unified to the BeiDou grid code spatiotemporal reference, an error compensation model based on environmental perception is established to suppress multipath interference, and multi-source data fusion is performed. The grid status is dynamically updated, partially updated, and version-managed to achieve real-time updates and historical backtracking of the airspace situation. Target threat assessment is conducted, and countermeasure resources are scheduled for rapid countermeasures against threatening targets. A three-dimensional map visualization rendering is performed, intuitively presenting the airspace situation, target trajectories, and countermeasure equipment status. This invention effectively overcomes the shortcomings of two-dimensional control, such as airspace blind spots, insufficient positioning accuracy in complex environments, inability to achieve three-dimensional fusion of multi-source data, and low efficiency in dynamic control response.

The application relates to a low-altitude signal coverage prediction method and system based on spherical non-uniform sampling, wherein the method comprises the following steps: determining the region complexity of different regions according to a digital surface model graph, constructing a direction sampling weight function according to the region complexity and an antenna directional diagram gain; performing spherical non-uniform sampling on a unit sphere based on the direction sampling weight function to generate a ray direction set matched with the sampling weight; calculating the spherical solid angle corresponding to each sampling direction based on the ray direction set, calculating the transmission power corresponding to each ray according to the spherical solid angle and a base station antenna directional diagram; taking the ray direction set and the transmission power as inputs to perform ray tracking propagation calculation to obtain the received signal power of each sampling point at low altitude, and the low-altitude signal coverage prediction is completed. The problems of how to improve the efficiency and accuracy of low-altitude signal coverage prediction in the related art are solved.

The application discloses a low-altitude target multi-modal detection data adaptive fusion method, a storage medium and a processing device. The method comprises the following steps: performing spatial dimension reduction and local feature enhancement on sensor data to obtain an initial feature vector; splicing an explicit feature vector and an implicit environment representation vector to obtain an instantaneous environment state tensor; acquiring a historical environment context feature by using a gated recurrent unit, and inputting the historical environment context feature and the instantaneous environment state tensor into an environment gated network to obtain an initial soft weight; performing one-by-one conditional screening on the initial soft weight based on a safety hard blocking threshold to obtain a final dynamic routing weight matrix; inputting a global fusion feature into a multi-task perception solving module to obtain a high-dimensional feature vector; and decoding the high-dimensional feature vector by using a post-processing algorithm to obtain a low-altitude defense zone comprehensive situation information vector. The application can improve the dynamic robustness and tracking accuracy of the system in all-weather and all-weather complex environments.

The present application relates to a kind of multi-agent collaborative induction and conflict solution method and system based on probability density evolution and wasserstein gradient flow.The method is mapped into continuous probability density field by stratified anisotropic kernel density estimation to the discrete position of multi-agent, constructs control free energy functional in probability space, which fuses target attraction, obstacle repulsion, collision avoidance interaction and Fisher information smoothing regularization term;Based on optimal transport and variational method, derive the macroscopic velocity field that enables the fastest decline of energy, and map into individual control instruction that meets the dynamic constraint.The scheme can improve the safety, smoothness and convergence of cluster flight, and is suitable for unmanned aerial vehicle cluster control and urban low-altitude traffic management.

This invention discloses a target tracking method and system based on UAV ID tracing, relating to the field of low-altitude security technology. The method includes: performing target detection on the current frame image to obtain detection boxes and detection confidence levels; simultaneously receiving UAV Remote ID information and extracting radio frequency fingerprint features to construct a multi-factor identity identifier; constructing a local geometric neighborhood for the detected target, calculating relative geometric relationships, and encoding them as geometric feature vectors; expanding the spatial graph of consecutive multiple frames into a spatiotemporal heterogeneous graph, embedding the multi-factor identity identifier, and outputting an association confidence matrix through a spatiotemporal graph neural network; implementing a three-level cascaded association based on dynamic thresholds, including high-confidence deterministic matching, medium-confidence fine association, and re-identification comparison of unmatched targets; updating the trajectory state and outputting a trajectory sequence with identity identifiers for flight tracing. This invention solves the problems of UAV identity hopping, occlusion loss, and ID spoofing in complex environments.

The application discloses a low-altitude unmanned aerial vehicle intelligent inspection method and system based on artificial intelligence, relates to the unmanned aerial vehicle flight control technical field, and comprises the following steps: acquiring spatial observation information of an object to be inspected, layering and assigning the spatial observation information to obtain an observation zone and an anchor point chain; discriminating the heading of the observation zone and the anchor point chain and assigning the observation zone and the anchor point chain to segments to obtain a straight-bend segment inspection control chain, performing segment attribution matching on the straight-bend segment inspection control chain to obtain a current inspection segment, performing constraint fusion on the current inspection segment to obtain a current inspection control state; performing control primitive matching on the current inspection control state to obtain a flight control primitive, performing control quantity calculation on the unmanned aerial vehicle according to the flight control primitive to obtain an initial flight control intention; and the application realizes the cooperative closed loop of safety constraint, control intention and actual flight by performing minimum constraint correction on the control intention through flight state prediction and safety certificate value.

The application discloses a low-altitude flight management and control method, system, device and medium based on satellite-ground broadcast fusion, and relates to the field of low-altitude aircraft safety management and control. The method comprises the following steps: a management and control center generates a wide-area flight permission instruction and sends the instruction to a satellite management and control node; the satellite management and control node broadcasts the wide-area flight permission instruction through satellite broadcasting; a ground management and control node supplements the wide-area flight permission instruction based on the regional management and control requirements of each region, generates regional flight permission instructions of each region, and broadcasts the regional flight permission instructions through ground broadcasting; a low-altitude aircraft determines its flight permission based on the wide-area flight permission instruction and the regional flight permission instruction, executes a flight task, and broadcasts its running state information through ground broadcasting; and a monitoring node generates airspace running situation information based on the running state information, the wide-area flight permission instruction and / or the regional flight permission instruction, and feeds back the information, so that the low-altitude flight management and control efficiency is improved.

This invention relates to the field of low-altitude emergency response technology and discloses a method for joint scheduling optimization of heterogeneous equipment for low-altitude emergency response tasks. The method includes: obtaining a task set and a set of heterogeneous equipment for the low-altitude emergency response task; constructing a dual-objective joint scheduling model for the low-altitude emergency response task based on the task set and the heterogeneous equipment set; performing non-dominated sorting optimization on the dual-objective joint scheduling model to generate a Pareto optimal solution set for the low-altitude emergency response task; executing the scheduling scheme in the Pareto optimal solution set; and monitoring the heterogeneous equipment of the low-altitude emergency response task in real time based on a preset dynamic rescheduling mechanism to obtain triggering events for the heterogeneous equipment; dynamically rescheduling the scheduling scheme based on the triggering events to generate a scheduling update scheme for the low-altitude emergency response task. This invention can improve the overall success rate, resource utilization efficiency, and system robustness of low-altitude emergency response tasks.

The utility model provides a kind of low altitude security spectrum unmanned aerial vehicle detector, including substrate, the top of the substrate is fixedly installed with box, the bottom of the box is fixedly installed with positioning mechanism, the moving end top of the positioning mechanism is fixedly installed with buffer clamp group, the top of the positioning mechanism is fixedly installed with detector body by buffer clamp group clamping installation, the back upper end of the box is fixedly installed with hinged part, the main buffer spring of the buffer clamp group, side buffer spring and damper of the device adopt synergistic effect, can effectively absorb and slow down the vibration generated in the jolt of transportation or use, avoid detector body damage, make up the deficiency of prior art without buffer structure, ball on side clamping plate and bearing plate, not only reduce clamping friction damage, also auxiliary adjustment detector position, enhance clamping stability, provide reliable protection for detector body, satisfy the demand of actual application to stable protection.

This application discloses a multi-level buffer emergency landing device for low-altitude logistics drones, relating to the field of drone emergency safety technology. Specifically, it includes: a status monitoring module, a main control module, and a multi-level buffer execution module. The status monitoring module collects real-time data on the drone's attitude, altitude, descent rate, and power system status. The main control module performs multi-source information fusion decision-making on the sensor data, identifies fault modes, and determines the emergency landing trigger timing. The multi-level buffer execution module includes a first-level air damping buffer unit, a second-level honeycomb material buffer unit, and a third-level elastic airbag composite buffer unit, triggered sequentially. This invention employs a three-level gradient energy absorption mechanism and adaptively matches buffer strategies for different altitude and descent rate scenarios, solving the compatibility problem of existing single buffer devices in handling multiple emergency scenarios such as low-altitude high-speed falls and slow descents, significantly improving the emergency landing safety of logistics drones in complex urban environments.

This application provides a method, device, and storage medium for generating a low-altitude aircraft takeoff and landing area. The low-altitude aircraft arrival and departure area includes a touchdown / takeoff positioning circle, a safety zone, and an obstacle restriction zone. The obstacle restriction zone is funnel-shaped and includes a conical platform area and a cylindrical area connected in sequence. The method includes: acquiring the aircraft's technical parameters; determining the minimum outer circle diameter of the aircraft based on the technical parameters; and determining the areas of the touchdown / takeoff positioning circle, the safety zone, and the obstacle restriction zone based on the minimum outer circle diameter and a preset geometric ratio. The preset geometric ratio is the ratio between the diameter of the touchdown / takeoff positioning circle, the ring width of the safety zone, the bottom diameter of the conical platform area, and the top diameter of the conical platform area. By using the minimum outer circle diameter of the aircraft as the core, the area of ​​the low-altitude aircraft arrival and departure area is determined, resulting in a reasonable layout, saving area, and improving space utilization.

The utility model discloses intelligent low altitude logistics delivery device, including fuselage, the periphery of fuselage corresponds and is installed electric rotor, the bottom of fuselage is installed with the connecting frame, the bottom of connecting frame is fixed with the connecting plate through bolt, the four corners of connecting plate even installation has lateral angle iron, the bottom movable clamping of lateral angle iron is provided with goods storage box, the lateral wall of lateral angle iron is installed with electric push rod, the output of electric push rod and the lateral wall of goods storage box are contacted, the bottom of goods storage box is installed with the fixed frame, the lateral wall of fixed frame is fixed with the extension post through welding, the both ends of extension post are installed with the support rod, the inside fixed mounting of support rod has the inner ring body, the lateral wall of inner ring body even installation has the accommodation cavity, the inside folding of accommodation cavity is accommodated and is provided with the air bag, the utility model discloses, has the characteristics of practicality is strong.

This invention belongs to the field of low-altitude unmanned aerial vehicle (UAV) technology and provides a large-scale distributed collaborative control system and method for low-altitude aircraft based on Spark. The system includes a big data central control system based on Apache Spark technology and a multi-UAV cluster. The central control system includes a Spark Driver and several Spark Worker nodes. The Spark Driver is responsible for task reception, allocation, and scheduling decisions, while the Spark Worker nodes deploy real-time data processing and scheduling algorithms. The central control system collects UAV status data in real time through the Spark Streaming module, performs parallel analysis and matching of tasks and resources through the Spark SQL and GraphX ​​modules, and performs fault prediction and multi-objective optimization through the MLlib module, realizing dynamic scheduling and fault-tolerant decision-making for multi-UAV tasks. This invention significantly improves parallel processing capabilities and system robustness while maintaining distributed autonomy and scheduling intelligence, effectively supporting the collaborative operation needs of various low-altitude application scenarios such as logistics delivery and disaster response.