48results about How to "Increase space" patented technology

This invention discloses a fusion protein targeting the urokinase-type plasminogen activator receptor and its application in the field of anti-aging. The fusion protein is composed of a hepatocyte growth factor active domain and a humanized anti-uPAR single-domain antibody linked by a flexible linker peptide, and its specific amino acid sequence is SEQ ID NO:3. This fusion protein can specifically bind to uPAR, which is highly expressed on the surface of senescent cells, with intramolar affinity, achieving targeted delivery of the hepatocyte growth factor active domain. In vitro experiments have demonstrated that this protein can significantly reverse the aging phenotype of human fibroblasts, effectively reduce aging-related β-galactosidase activity, p16INK4a protein expression, and interleukin-6 secretion, and promote cell proliferation. In a rapidly aging mouse model, this protein can systematically improve age-related physiological functional decline. The fusion protein of this invention achieves specific targeting and efficient treatment of senescent cells, providing a new solution for the development of anti-aging drugs.

This invention discloses a method, equipment, and medium for super high-rise construction monitoring based on digital twins, relating to the field of digital twin technology. The method includes: acquiring construction operation data from the super high-rise construction site and constructing a digital twin construction model; updating the boundary conditions of the digital twin construction model through a set of construction disturbance events to generate a disturbance-driven twin model; verifying the consistency between the virtual and real data of the model simulation state records in the construction state set and the disturbance-driven twin model to generate a twin credibility evaluation set; improving the local monitoring resolution of high-risk areas to generate twin resolution configuration results; performing local high-precision monitoring of the credible construction twin based on the twin resolution configuration results; and outputting super high-rise construction monitoring results. This invention, by improving the local monitoring resolution and generating twin resolution configuration results, avoids the waste of computational resources caused by global high-precision monitoring, thereby improving the efficiency of monitoring resource utilization and the response accuracy of high-risk areas.

This invention discloses a multi-channel electromagnetic induction detection method and system based on uniform magnetic field constraint. A uniform magnetic field is constructed within the detection area of ​​the structure under test. Electromagnetic induction response signals are acquired through multiple channels under the constraint of the uniform magnetic field, and the spatial coordinates of each acquisition channel are marked. The raw electromagnetic induction signals acquired by each channel are preprocessed, including noise reduction filtering, envelope extraction, and amplitude normalization. A deep learning model is then used to extract structural features from the preprocessed multi-channel electromagnetic response signals. Based on the spatial position information of each acquisition channel, magnetic field uniformity parameters, and response characteristics, a channel correlation weight matrix is ​​constructed to describe the spatial consistency and physical coupling relationships between channels. A multi-channel joint optimization model is constructed, and the equivalent electromagnetic parameter distribution inside the structure under test is reconstructed through iterative solution. This invention improves the reliability, repeatability, and engineering applicability of electromagnetic induction detection results.

The present application relates to the technical field of data processing, in particular to a data processing method and system based on unmanned aerial vehicle video and vector data fusion. By calculating the deviation of the predicted position and the actual detection position of each reference point in the image, the reference points with large errors are screened and the camera pose parameters are adjusted using the random consistency algorithm and the iterative optimization method to improve the projection accuracy and stability. Through grid division, corner detection and feature descriptor extraction, a reference point set is established, the parallax change standard deviation is introduced, and the unstable reference points with large fluctuations are removed to ensure the reliability of the pose solving process and the consistency of spatial registration. According to the registration and fusion of unmanned aerial vehicle video and vector geographic data, the problems of current vector element drift, occlusion determination difficulty and attitude error dynamic correction are solved, the spatial reality and dynamic stability of the augmented reality scene are enhanced, and the industrial needs of various application scenarios such as underground pipe network inspection are met.

This invention discloses a UAV 3D path planning method based on a multi-strategy improved lemming optimization algorithm, comprising the following steps: S1, constructing a 3D task space model; S2, constructing a flight cost function; S3, initializing the population using Latin hypercube sampling; S4, iterative global exploration and local exploitation with adaptive parameters; S5, updating the population using a bidirectional population evolution strategy and a memory mechanism; S6, evaluating fitness and selecting the current optimal individual; S7, iterative judgment and outputting the optimal path. This invention improves upon the UAV 3D path planning problem in complex environments by employing multi-strategy collaborative improvement, using Latin hypercube sampling to initialize the population, designing an adaptive parameter adjustment strategy to balance exploration and exploitation, and introducing a bidirectional population evolution strategy and a memory mechanism to enhance optimization performance. Through boundary reflection processing and flight cost function evaluation, the optimal flight path is obtained from the population, thus effectively solving the UAV 3D path planning problem in complex environments.

A physiological mechanical signal monitoring system and method utilizing motion state to suppress artifacts, belonging to the field of biomedical signal monitoring and processing technology, aims to improve the existing distributed multi-node vibration and physiological signal acquisition systems, which suffer from severe crosstalk between multiple channels, signal aliasing caused by artifacts, and feature distortion, failing to meet the requirements of high-fidelity, multimodal dynamic acquisition. Key technical points: The signal monitoring system includes a multi-point distributed acquisition module, a motion state recognition module, an artifact detection and adaptive filtering module, and a main control and signal fusion module. The main control and signal fusion module is used to fuse and reconstruct the multi-channel physiological mechanical signals after artifact suppression processing, outputting high-fidelity physiological signals. This invention significantly reduces the coupling effect between different channels caused by environmental vibration, body motion impact, and matrix resonance through independent support of multiple spatial nodes and isolation of mechanical paths, significantly improving the spatial discrimination ability and original independence of the signals. This invention achieves multi-point physical isolation at the structural level, and then combines vector superposition to achieve preliminary noise reduction, effectively reducing artifacts caused by non-target actions and environmental disturbances.

The application relates to the technical field of spatial information processing and data fusion, and discloses a structure perception driven long-time sequence point-surface data fusion method and equipment. The method extracts spatial structure information in precipitation products, elevation model products and slope data by using a spatial feature extraction module, and combines a sequence feature analysis module to model time sequence change characteristics, so that the nonlinear relationship between product data and measured stations is comprehensively captured, and high-quality enhanced station data is generated. Finally, the measured and enhanced stations are fused, long-time sequence sparse observation data is high-precision converted into continuous spatial information, the spatial coverage capability and dynamic response capability of the data are effectively improved, and more continuous, accurate and reliable data support is provided for disaster monitoring and early warning of mountainous basins.

This invention belongs to the field of remote sensing technology and discloses a method for optimizing habitat quality parameters in the InVEST model based on Remote Sensing Ecological Indices (RSEI). This invention overcomes the technical bottleneck of traditional InVEST models, which rely on manual experience to set parameters and are difficult to update dynamically over time. By constructing a multi-source remote sensing data-driven RSEI, and utilizing its statistical characteristics and spatial distribution patterns across different land use types, it achieves objective quantification and dynamic updating of four key parameters: habitat suitability, threat weight, threat attenuation distance, and habitat sensitivity. Without requiring data from ecological monitoring stations, it directly incorporates continuous changes in ecological environment quality into the InVEST parameter system, resulting in higher objectivity, temporal consistency, and spatial autocorrelation in habitat quality calculations. This provides a novel technical approach for the automated and time-series assessment of regional-scale habitat quality.

This utility model provides a three-axis gantry robot for material handling, belonging to the technical field of gantry robot technology. It addresses the problem that existing traditional gantry robots typically have fixed-size protective structures, posing safety hazards or occupying excessive space when handling goods of varying sizes. The robot includes a gantry body, sliding rods, a drive motor, an extended protective assembly, and a quick-assembly / disassembly assembly. The sliding rods have an "L"-shaped structure, with the left ends of two sliding rods slidably connected inside a fixed box on the left side. The drive motor is fixedly connected to the outside of the fixed box on the right side. The extended protective assembly is located on the outside of the gantry body. The quick-assembly / disassembly assembly is located at the bottom of the actuator. This utility model enables the sliding protective frame to dynamically adjust its protective range according to the workpiece size, improving safety and space adaptability under different working conditions. The tool-less quick-assembly / disassembly structure between the mechanical fixtures significantly shortens the fixture changeover time in multi-variety production.

According to the intelligent sensing caulking sealing structure and the runway pavement health state monitoring method provided by the invention, the prefabricated sensing rubber strip with the modulus gradient transition embedding material is arranged in the runway shoulder caulking, so that tight coupling and cooperative deformation between the sensing optical cable and the caulking glue made of a silicone material are realized; the problems of modulus mismatch, interface stripping, optical cable bounce and the like are effectively solved, and stable and high-fidelity acquisition of vibration signals is ensured; according to the monitoring method, the system identification technology of center line excitation and runway shoulder response is utilized, the surface wave propagation model and the regularization reconstruction algorithm are combined, the runway center line vibration state is inversed in a high-precision mode from runway shoulder signals, propagation attenuation and time delay are compensated, the monitored space coverage capacity and signal restoration precision are remarkably improved, and the monitoring precision is improved. The low-influence, wide-coverage and continuous real-time monitoring of the stock runway is realized, and finally a more reliable and efficient technical scheme is provided for runway surface health state evaluation and operation safety guarantee.

This invention relates to the field of centrifugal fans, specifically disclosing a portable energy-saving electric fan and its usage method. The fan includes a housing with a grille and a fan installed inside the housing. The fan's outlet is aligned with the grille. The top of the housing has an opening through which the fan can extend. The fan's outer casing is divided into a fixed part and at least one movable part. The movable part is movable relative to the fixed part. When the movable and fixed parts are separated, maintenance tools can be inserted into the casing to inspect the inner wall and impeller. This invention allows the fan to be lifted from the housing for easy maintenance. Furthermore, the fan's outer casing can be divided into a fixed part and at least one movable part, and the fixed and movable parts can be fixed to the fixed part without connecting parts, only by a retaining element inside the housing, facilitating maintenance and return to its original position after maintenance.

The application provides a low, slow and small target detection system based on a laser radar, which comprises a power supply subsystem, a control subsystem, a servo turntable, a laser radar subsystem and a data processing unit; the servo turntable provides a rotating platform for the laser radar subsystem, so that the laser radar subsystem rotates at a constant speed in a horizontal direction by 360 degrees; the control subsystem is connected with the servo turntable, so as to realize zero return, speed control and position information reading of the servo turntable; the power supply subsystem supplies power to the control subsystem, the servo turntable, the laser radar subsystem and the data processing unit; the laser radar subsystem is used for acquiring point cloud data in a scanning range; and the data processing unit processes the point cloud data, so as to realize detection of a low, slow and small target. The application is not affected by background environment light, electromagnetic radiation and noise, has strong anti-interference ability, has high target three-dimensional space coordinate and size measurement precision, and has low false alarm rate and low missing alarm rate.

This invention provides an asymmetrical tilting duct, belonging to the field of aircraft technology, including a duct shell. The duct shell is a non-closed arc structure along the circumferential direction, and the duct shell has a non-closed opening section on its circumference. The cross-section of the opening section is an airfoil with inverted upper and lower arcs. By designing the duct shell as a non-closed arc structure and setting a non-closed opening section with an inverted airfoil cross-section on its circumference, this invention breaks the symmetrical distribution of circumferential air pressure in the duct, forming a circumferential pressure difference that cannot be completely offset. This allows the duct to generate additional radial lift along the vertical direction of the fuselage while providing axial thrust, effectively offsetting part of the wing load and improving the aircraft's payload ratio.

The utility model discloses a high -strength power station boiler steel structure engineering installation framework, including power station boiler, support crossbeam I, support stand I, connecting structure, reinforcing structure, support base, operation platform, support crossbeam I is fixedly connected with support stand I, and the overlapping portion of support crossbeam I and support stand I is equipped with connecting structure, and the outer side of connecting structure is equipped with support stand II, and the overlapping portion of connecting structure and support stand II is equipped with triangle reinforcing rib II, and power station boiler sets up in the steel structure frame of the overlapping of support crossbeam I and support stand I, and one side of triangle reinforcing rib I is fixed on support crossbeam I through fastening bolt I, and the other side is fixed on the outer wall of power station boiler, and reinforcing structure is equipped with multiple groups and sets up between two groups of adjacent support crossbeam I, and support base is fixed in the lower part of power station boiler, and operation platform is laid on support crossbeam II, and the stair is equipped between operation platform, and the outside fixed of operation platform has platform support column.

This invention discloses a multimodal primitive learning-based traffic prediction method, system, device, and storage medium for anomaly events. The method includes: acquiring multi-source heterogeneous correlation data of the target road network, prior information of future events, and a static adjacency matrix; extracting a multimodal latent representation set, which includes at least a traffic latent representation; generating dynamic edge weight components based on the traffic latent representation and applying topological mask constraints using the static adjacency matrix to determine a time-varying adjacency matrix; performing graph propagation operations using the time-varying adjacency matrix to obtain enhanced spatial features, and aggregating these features with the remaining latent representations to obtain a fused node representation; converting the prior information of future events into a look-ahead conditional representation, merging it with the fused node representation for conditional decoding prediction, and outputting the future traffic state prediction result. This invention improves the model's spatial correlation capture capability and prediction accuracy under anomaly interference, achieving reliable prediction of traffic states in complex scenarios.

This invention discloses a method and system for secure electro-optical hybrid transmission of UAV relays based on deep reinforcement learning. It identifies a real-time joint optimization problem involving UAV 3D acceleration, bandwidth resources, user power, and UAV power configuration under multiple constraints. A Markov decision process is constructed based on the real-time joint optimization problem to obtain the state vector for each time slot. The state vector of each time slot is input into a real-time joint scheduling network to obtain an unconstrained original joint action vector. Bounded operations and feasible mapping are performed on the unconstrained original joint action vector to obtain the actual executable joint action vector. This method can achieve real-time joint optimization of UAV 3D acceleration and resource allocation in complex low-altitude dynamic scenarios, significantly improving the security, secure transmission capability, and overall robustness of the FSO / RF hybrid UAV relay communication system.

The utility model relates to the field of home lighting, especially a floor lamp, the floor lamp includes support subassembly, sets up locking piece on support subassembly and sets up the lamp on locking piece, support subassembly includes through setting attached inner and outer thread structure at the junction, the base, first support rod, second support rod and third support rod connected in proper order, locking piece is configured at the junction of third support rod and lamp bottom and is detachably fixed, and the integrated layout of locking piece, inner and outer thread structure and electric wire hides in the inside of support rod, makes the overall appearance present smooth cylindrical form, the utility model solves the problem that the floor lamp structure is complex, inconvenient to disassemble and assemble, and the appearance is not beautiful in the prior art, realizes convenient disassembly and assembly, saves packaging transportation space, improves maintenance efficiency and the convenience of part replacement, and simultaneously realizes simple and smooth and beautiful texture of lamp whole modeling.

The application relates to a complex curved surface shock wave body counter-design method based on a three-dimensional curved flow surface method, and relates to a hypersonic wave body. The complex curved surface shock wave body is provided with a complex curved surface shock wave body lower surface compression profile, a complex curved surface shock wave body upper surface profile and a complex curved surface shock wave body leading edge profile; the complex curved surface shock wave body lower surface profile and the complex curved surface shock wave body upper surface are connected by the complex curved surface shock wave body leading edge profile. A complex curved surface three-dimensional outflow shock wave is specified, and a wave body capture profile is designed; the complex curved surface shock wave is dispersed into a series of initial flow surfaces; shock wave angles, shock wave curvatures and wave rear parameters are solved; a complex shock wave curved surface wave rear flow field is solved, and a compression profile is determined; a wave body upper surface geometric shape is constructed according to design requirements; and the upper and lower surfaces are connected to form a complete complex curved surface shock wave body geometric shape. The method has higher calculation efficiency and higher precision, and provides a wider performance improvement space for aircraft design through free shock wave selection.

This invention discloses a method for heat regulation of snow shelters based on snow-covered feature image recognition, belonging to the field of image recognition technology. The method includes the following steps: acquiring a continuous image brightness change sequence of the snow shelter surface; extracting brightness values ​​at different time points for the same spatial location; constructing a brightness time evolution matrix corresponding to each spatial location to characterize the change law of the snow shelter surface brightness over time; and based on the brightness time evolution matrix, trajectories are marked for regions where the brightness shows a continuous decreasing trend in the time dimension and a continuous translation feature in the spatial dimension, forming a shadow migration region sequence. This invention eliminates dynamic shadow interference by constructing a brightness time evolution matrix, avoiding heat distribution shifting with shadows, and achieving accurate identification and stable heating of the actual snow-covered area. Simultaneously, it dynamically monitors the melting trend during heating, increasing heat intensity when stagnation occurs to suppress ice shell formation and improve operational safety.

A double channel dust sensor in vehicle relates to the technical field of automobile sensor, including base, upper cover, first air inlet pipe, first exhaust pipe, second air inlet pipe, second exhaust pipe, PCB board, fan, inner cover, light emitting tube, light receiving tube, first lens and second lens, the lower side of upper cover is equipped with base, both ends of base are equipped with first light path area and second light path area, the upper side of first light path area and second light path area is equipped with inner cover, fan and PCB board in turn, both in first light path area and second light path area are equipped with light emitting tube and light receiving tube, both ends of base are equipped with first air inlet pipe, first exhaust pipe, second air inlet pipe and second exhaust pipe respectively;The utility model discloses a double channel independent sampling structure, obtains dust concentration data in two space positions simultaneously, avoids the time sequence error caused by turn -to -turn sampling, improves the spatial comparative analysis ability and data timeliness of air quality monitoring, through common main control circuit and power supply system, reduces overall energy consumption and manufacturing cost.

The utility model discloses a kind of water-accumulation-free flowerpot trays, belong to flowerpot tray technical field, it includes disc body, the upper surface of the disc body is provided with recess, the inside of the recess is provided with catchment area, the catchment area is connected with water guide groove, the sidewall of disc body is provided with the butt joint pipe head being connected with the water guide groove, the butt joint pipe head is detachably connected with water guide pipe, the inside of the recess is provided with support protrusion, the space between flowerpot and tray is increased by the arrangement of support protrusion, increase breathability.When using, flowerpot is placed above support protrusion, when watering, water leaked from flowerpot can be stored in catchment area, the water liquid of catchment area flows into water guide pipe through butt joint pipe head via water guide groove, water liquid in tray can be promptly discharged, avoid tray water-accumulation or overflow, save manual force, avoid pollution environment, maintain hygiene.

This invention relates to the field of mine safety technology and discloses a method for predicting dynamic delamination and deformation of composite roof in roadways based on multi-source data fusion. The method includes: performing time-varying response phase synchronization analysis on multi-source sensor datasets of the composite roof to generate a phase synchronization feature matrix; identifying dynamic response anomaly regions based on the phase synchronization feature matrix to generate a set of coupled response regions; dividing the dynamic delamination-dominant area into risk boundaries based on the set of coupled response regions to generate a boundary topology map; extracting deformation transmission direction features of the rock strata interface based on the boundary topology map to generate a cluster of potential dynamic delamination paths; constructing a path offset dynamic response table based on the potential dynamic delamination path clusters and displacement trajectory data; performing spatial cumulative variable analysis on the composite roof; and generating early warning commands for dynamic delamination and deformation of the roof. This invention can improve the timeliness, accuracy, system adaptability, and proactive decision-making efficiency of roof safety early warning.

This invention relates to the fields of ecological environment monitoring and bioacoustics, specifically disclosing a method for monitoring the distribution of bird activity in urban streets based on the intensity of bird calls. This method simultaneously collects multi-channel audio and video data from street areas, uses visual information to identify non-bird dynamic sound sources and constructs a spatial sound source mask model, and combines beamforming technology to directionally focus the audio signal and attenuate interference frequencies. Subsequently, it detects bird call events and calculates their intensity, correlates them with spatial positioning information to generate a spatiotemporal distribution map of bird activity intensity, and verifies the validity of the call events through video verification. This invention improves the signal-to-noise ratio and monitoring accuracy through audio-visual fusion and a closed-loop verification mechanism, achieving highly reliable and high spatial resolution monitoring of urban bird activity distribution.

This invention discloses a chest CT image processing system, including a data acquisition module, an image enhancement module, a multi-resolution fusion module, and a high-fidelity export module. This invention relates to the field of intelligent CT image processing technology, specifically a chest CT image processing system. This system performs intensity cropping and normalization on CT images, and combines logarithmic domain bias field regularization iterative correction to restore tissue contrast. First, it locates the lung field, refines the boundaries using variational segmentation, and uses mask-constrained nonlocal mean denoising within the lung to preserve small lesions. It then combines a Hessian matrix with an improved Frangi metric for structural enhancement, fusing the original image, denoised image, and enhanced image. Based on structural response and gradient, it constructs a voxel-level importance mapping, performs high- and low-resolution resampling, and seamlessly synthesizes the images according to weights, preserving high resolution and detail in key areas, improving the accuracy of lung field and lesion boundaries, while reducing computational and storage overhead and effectively avoiding artifacts.

This invention discloses a UV-curable coating composition, its preparation method, and its application. The UV-curable coating composition includes a UV-curable primer and a UV-curable topcoat. The UV-curable primer is composed of polyurethane acrylate resin, a first acrylate monomer, a photoinitiator, an adhesion promoter, and a wetting and leveling agent in a specific ratio, and after curing, it forms a coating with strong adhesion on a nickel-plated substrate. Furthermore, by optimizing the formulation of the UV-curable topcoat, it promotes efficient bonding between the topcoat and primer when used in conjunction with the primer, imparting excellent insulation properties to the coating. The UV-curable coating composition provided by this invention can form a composite coating with strong adhesion, excellent insulation properties, and high stability on the surface of a nickel-plated substrate. Its adhesion performance is grade 1 or higher, and it passes voltage resistance and electrolyte resistance tests. Even after aging under double 85 conditions for 1000 hours, it still maintains excellent adhesion and insulation stability.

The application relates to a logistics high-altitude operation platform for a logistics distribution center, which comprises a walking part, the upper surface of the walking part is provided with a lifting part, the upper surface of the lifting part is provided with an operation box, the upper surface of the operation box is fixedly connected with an operation part, the inner bottom wall of the operation box is provided with a moving plate, the side surface of the moving plate is rotationally connected with a first rotating plate, the upper surface of the first rotating plate is fixedly connected with a fixing seat, the opposite surfaces of the two fixing seats are rotationally connected with a second rotating plate, and the front surfaces of the first rotating plate and the second rotating plate are provided with footrest rods. In the application, the first rotating plate and the second rotating plate are matched to form a climbing tool vertically downward for a user to get into the operation box, the first rotating plate and the second rotating plate can form a vertical state and the first rotating plate is horizontal to place tools, materials and other articles for the user, and finally the first rotating plate can be matched with the operation box to form a closed space to prevent the user from falling and improve the safety.

This invention relates to the field of population spatiotemporal distribution modeling technology, and proposes a population model generation method based on crowdsourced data, comprising the following steps: Step 1, collecting socioeconomic and natural environment data to obtain standardized multi-source raster data; Step 2, based on the standardized data, constructing a daytime population weight layer by training a heterogeneous basic regression model with five-fold cross-validation and building an adaptive spatial weighted support vector regression meta-learner; Step 3, extracting building volume and nighttime light intensity raster layers from the standardized data to construct a nighttime population weight layer; Step 4, constructing a non-working day population weight layer by weighted fusion based on the day and night weight layers; Step 5, constructing basic spatial mapping units to complete high-scale downscaling reconstruction of population space, obtaining initial high-resolution population distribution results; Step 6, introducing a time smoothing model to correct the temporal inconsistency problem of the initial results, generating the final population distribution model. This invention effectively solves the problems of insufficient spatiotemporal resolution, poor time-segment adaptability, and unreasonable assignment of missing data areas in traditional population distribution models, providing accurate, comprehensive, and highly usable population distribution data support for scenarios such as urban planning, resource allocation, and emergency management.

This invention discloses a method for assessing the risk of unmanned aerial vehicle (UAV) interference in low-altitude airspace using big data processing, relating to the field of airspace safety technology. This method systematically models interference risks by progressively breaking down complex airspace safety issues into several sub-processes with clear physical meaning and computational logic. The front end of the process mainly completes the modeling and discretization of airspace structure and operational elements, providing a unified spatial and temporal scale for subsequent risk calculations. The intermediate steps characterize potential UAV attack paths and their spatial intersections with manned aircraft tracks. The final step identifies core risk areas and secondary risk areas through risk aggregation and threshold determination. This invention normalizes static collision risk values ​​to obtain standardized risk indicators, providing a more operational spatial basis for implementing layered, graded, and differentiated low-altitude integrated airspace management measures.

The utility model provides a straddle type vehicle contains a car body, a power system on the car body, a main water tank on the car body adjacent to the power system, a sub -water tank on the car body and is connected with the main water tank, and an electric installation element can be detachably arranged on the sub -water tank. The electric installation element is detachably installed on the sub -water tank, reduces the difficulty of dismounting and improves the maintenance convenience, improves the space utilization and the integration.

Embodiments of the present application disclose an audio processing method and device, comprising: obtaining current position information of a user; determining a virtual sound emitting position corresponding to each sound emitting unit according to the current position information and a sound emitting position of each sound emitting unit; determining a target filter coefficient of a target filter function matched with the current position information; determining a target output parameter corresponding to each sound emitting unit according to the target filter coefficient, the current position information, the virtual sound emitting position and the sound emitting position of each sound emitting unit, the target output parameter comprising one or more of a sound wave delay time, a phase offset and a sampling domain delay parameter of the sound emitting unit when outputting a target audio signal; and controlling each sound emitting unit to output the target audio signal based on the target output parameter. In this way, the user can perceive a stereo surround sound, and the immersion and experience of the user can be improved.