41results about How to "Remove uncertainty" patented technology

The application provides a graphite ore flotation intelligent optimization method and system based on AI visual identification, and relates to the technical field of mineral processing. The method comprises the following steps: acquiring a flotation foam image in real time through an image acquisition module, extracting multi-dimensional features such as foam size distribution, stability, color depth, texture and flow rate after improved bilateral filtering denoising and adaptive histogram equalization enhancement, predicting the graphite grade, recovery rate and foam state category according to the features by an attention-enhanced ResNet50 model, dynamically generating an optimal reagent scheme by combining a safety constraint and a reward function through a reinforcement learning agent based on a deep deterministic policy gradient, and finally automatically adjusting a reagent feeding device by a control execution module to realize closed-loop optimization control. The application can accurately predict the indicators of the foam and dynamically optimize the reagent feeding scheme according to the indicators, and significantly improves the production efficiency.

The application provides a spatial light modulation method and system of Gray code coding rearrangement, and relates to the technical field of computational imaging and spatial light modulation. The method combines a Gray code sequence and a high-performance basic modulation matrix, a basic modulation matrix is constructed according to a target image resolution and a sampling rate, a Gray code index sequence with only one different adjacent index is generated, a measurement matrix is obtained through a mapping function rearrangement matrix, the measurement matrix is loaded to a spatial light modulator to code light signals, a double-channel detector collects transmission and reflection light intensity responses and performs differential processing, and a compressed sensing reconstruction algorithm is input to recover an image. The application realizes stable and efficient information capture at a low sampling rate, improves the anti-interference ability and repeatability of the system, has strong hardware compatibility, low implementation cost, and is suitable for the fields of single-pixel imaging, three-dimensional measurement and the like.

This invention belongs to the field of high-temperature heat pipe performance testing technology, specifically relating to a fully autonomous adaptive heat pipe heat transfer performance testing method. It includes the following steps: Step S1: Generating a heat flux density benchmark based on geometric features; Step S2: Using P... base Based on this, differentiated power loading is performed using a stage-dependent loading coefficient β. During step S2, steps S3 to S5 are executed in parallel: Step S3: Parallel execution of adaptive physical stage switching based on a dual criterion of "temperature-anomaly"; Step S4: Parallel execution of autonomous steady-state determination for each power loading at key temperature points in the linear heat transfer stage and during each power loading in the limit approximation stage; Step S5: Parallel execution of full-cycle automated safety protection based on monitoring the second derivative of the evaporation section temperature. The beneficial effects are: improved adaptability of the testing method, compatible with heat pipes of different geometric dimensions; and effective improvement of testing efficiency through the implementation of a staged control strategy.

The invention discloses a robot system for laboratory pretreatment autonomous operation, which relates to the technical field of intelligent robots and is formed by organically fusing four core parts, namely a moving and executing platform, a sensing module, an operation and end tool module and a control and calculation module. Autonomous operation is realized through a set of layered progressive closed-loop feedback intelligent control logic: firstly, a macroscopic experiment task is gradually decomposed into executable'action-nodes' from top to bottom; secondly, real-time closed-loop feedback is formed through multi-source 3D vision and tail end force perception, the track of the mechanical arm is dynamically corrected, and the operation force is accurately controlled; and finally, two arms are driven to work cooperatively through parameterized mapping and accurate time sequence control, so that unmanned, standardized and high-reliability operation of a sample pretreatment process is realized in a variable experimental environment, and the limitation of manual operation and an existing single-function automation scheme is effectively overcome.

The application discloses a power magnetic core common mode inductor and a preparation method thereof, and belongs to the technical field of electronic component manufacturing, and comprises a winding execution unit, a magnetic circuit assembly unit and a material flow transfer module, wherein the winding execution unit comprises a main shaft rotating motor and a wire arranging servo module, the magnetic circuit assembly unit comprises a servo press and a glue injection nozzle, and the material flow transfer module is connected with the winding execution unit and the magnetic circuit assembly unit. The scheme physically increases the average distance of interlayer conductors through staggered span actions, changes the distribution direction of electric field vectors, effectively reduces the parasitic capacitance between windings, directly improves the high-frequency characteristics of the common mode inductor, expands the high-frequency impedance bandwidth, and enables the common mode inductor to more effectively inhibit high-frequency noise transmission.

This invention discloses a system for measuring electrical parameters along a lightning path based on spatiotemporal clustering analysis, belonging to the field of lightning path electrical parameter measurement technology. It includes a data acquisition module for collecting lightning data, including the time, longitude, and latitude of the lightning event; an electrical parameter measurement module for measuring electrical parameters along the lightning path, including electric field strength, current intensity, and voltage; and sensors for real-time monitoring of areas along the lightning path to obtain accurate electrical parameter data. The system uses sensors to measure electric field strength, current transformers to measure current intensity, and voltage sensors to measure voltage. This invention significantly improves the accuracy of electrical parameter measurement, addressing the problem of poor accuracy. When measuring the instantaneous large current of a lightning strike, the current transformer, with its suitable range and fast response, can accurately record changes in current intensity, providing reliable data for studying lightning current characteristics.

The application discloses an AC solid-state circuit breaker adaptive turn-off method and system, the core of the method is to construct a two-dimensional phase space geometric evolution manifold according to the current amplitude sequence of the fault current and the hardware differential rate signal, realize geometric extrapolation of the short-circuit current peak value containing the non-periodic component through the trajectory curvature characteristics; combined with the cumulative equivalent operation times, the radiator temperature and the standing time and other physical state parameters, input them into the endogenous physical information neural network model, define the safe operation interval with physical certainty by using the hard-coded embedded Cauer thermal network operator; and in the interval, an analytical projection algorithm based on stress cost manifold is adopted to execute constant level optimization of the optimal turn-off time by using the control barrier function. The application can effectively solve the distortion problem of the traditional model under the magnetic saturation working condition and the uncertainty of the soft constraint prediction, while ensuring the breaking reliability, significantly reducing the online calculation complexity.

The invention discloses an ultrasonic-based bolt axial force detection method and system, and the method comprises the steps: sequentially fixing piezoelectric ceramic pieces on the end face of one side of a to-be-detected bolt in a free state and a fastened state, and configuring the piezoelectric ceramic pieces to excite and receive ultrasonic body waves in a single mode at the same time; the method comprises the following steps: transmitting an ultrasonic pulse into a to-be-tested bolt through a piezoelectric ceramic piece, and respectively receiving ultrasonic echo signals reflected by an internal structure of the to-be-tested bolt in a free state and a fastened state to obtain first waveform data and second waveform data; respectively determining corresponding single reflection echoes from the first waveform data and the second waveform data, and respectively determining first sound time and second sound time of the to-be-tested bolt from the corresponding single reflection echoes; and determining a stress coefficient of the to-be-tested bolt in the fastening state, and determining the bolt axial force of the to-be-tested bolt based on the stress coefficient of the to-be-tested bolt, the first sound time and the second sound time. According to the invention, the axial force of the bolt is accurately detected through the piezoelectric ultrasonic technology.

This invention provides a substation equipment installation guidance and control method and system based on semantic perception and EKF algorithm, belonging to the field of substation equipment installation guidance and control technology. To address the technical problems of current substation equipment installation guidance methods relying on manual experience, resulting in poor installation accuracy, dependence on stringent auxiliary markers, and inability to adapt to unstructured installation environments, this invention preprocesses the raw point cloud data of the acquired equipment, including voxel downsampling and statistical outlier removal, filtering out dust and noise from the construction site. The unordered point cloud is classified into base, equipment, ground, or background, and then subjected to perception processing and semantic segmentation. In the segmented point cloud data, the flange plane is extracted using a random sampling consistency algorithm, and the bolt hole center coordinates are identified using a clustering algorithm. Coarse and fine registration strategies are employed for virtual-real registration operations. This invention is applied to substation equipment installation guidance.

The utility model relates to gear cutting technical field discloses a kind of automatic gear cutting equipment, including shell, the inside fixed connection of shell has motor one, the inside of shell is provided with cutting assembly, the output end of motor one is connected with mounting post one, the inside fixed connection of mounting post one has motor two, the output end of motor two is connected with worm, the inner bottom wall of shell is fixedly connected with support frame, the inside fixed connection of support frame has base, the upper surface of base is fixedly connected with support rod, the upper surface of support rod is fixedly connected with cover plate, the upper side outer wall of connecting rod one is rotatably connected with extrusion assembly. In the utility model, by gear installation in the outer wall of support frame, the quick clamping of the gear to be processed can be achieved, the clamping time is reduced, the production efficiency of the equipment is improved, and complex adjustment and calibration are not needed.

The present application relates to the field of CO2 storage and monitoring, discloses a coal mine goaf CO2 efficient storage and leakage monitoring method, comprising: before CO2 injection, establishing an initial three-dimensional resistivity model and an initial three-dimensional geological permeability model; during injection, performing a high-frequency safety response level cycle and a low-frequency depth optimization level cycle in parallel; the high-frequency cycle performs predictive analysis according to real-time data to quickly respond to potential leakage risks; the low-frequency cycle dynamically corrects the permeability model according to cumulative data and performs robust optimization to update injection parameters; after injection is completed, switch to a long-term monitoring mode, and use the final corrected model during injection as a high-precision reference for stability monitoring. Through hierarchical decision-making and adaptive control, the present application realizes active prediction of risks, dynamic correction of geological models and robust optimization of injection strategies, improving the safety, efficiency of CO2 storage and the sensitivity of long-term monitoring.

This invention provides a backdoor defense method for federated learning based on gradient consistency and dual unsupervised clustering, comprising: obtaining gradient updates submitted by multiple clients participating in federated learning in the current training round; for each client, predicting the gradient update of the current round based on historical global model parameters and the client's historical gradient updates; calculating the difference between the actual gradient update and the predicted gradient update of each client to generate a malicious score for the client; adaptively determining the optimal number of clusters based on the malicious scores of all clients using the Gap statistic; performing dual unsupervised clustering detection with a coarse-to-fine approach based on the optimal number of clusters: first, removing clients with high malicious scores using K-means clustering, and then removing residual malicious clients from the remaining clients using DBSCAN clustering, thus selecting benign clients; and performing federated learning global model aggregation based on the gradient updates of the selected benign clients.

The application belongs to the technical field of automobile equipment manufacturing, and discloses a flexible automatic production equipment for automobile multi-model and multi-process production, which comprises a work station safety peripheral device; a clamping and fixing device for implementing production work on a workpiece, a robot welding device, a clamping jaw carrying device, a first buffer device, a first welding robot, a second welding robot, a stud welding device, a second buffer device, a second carrying robot, a visual detection device, a laser marking device and a belt conveying device are arranged in a production area formed by the work station safety peripheral device. The flexible automatic production equipment for automobile multi-model and multi-process production with high integration and intelligent flexibility can be provided through mutual cooperation of the components. The application has the advantages that seamless switching production for different models can be realized to meet the flexible, automatic, high-efficiency and high-qualification production requirements of modern automobile manufacturing.

The present application relates to the unmanned aerial vehicle cluster flight attitude adaptive consistency control method based on the directed support tree, including the construction about the multi-agent system of unmanned aerial vehicle;Definition multi-agent system on the directed connected graph is interacted and the directed connected graph contains a directed support tree;The design of the multi-agent system determines the equivalent controller;The equivalent controller is extended to the time-varying coupling gain;The parameter design of time-varying coupling equivalent controller is carried out;The breadth-first search algorithm is used to find the directed support tree from the directed connected graph;The undirected version of the directed support tree is constructed;The system state is updated in cycles through the directed connected graph and the undirected support tree, and the unmanned aerial vehicle cluster flight attitude adaptive consistency control is realized.The present application realizes the adaptive leaderless consistency of multi-agent on the directed support tree, overcomes the problem caused by the uncertainty in the communication graph in the model, and realizes the unmanned aerial vehicle cluster flight attitude adaptive consistency control.

The invention relates to the technical field of agricultural plant protection machinery and precision agriculture, in particular to a test system for simulating the pesticide spraying effect of an unmanned aerial vehicle, which comprises a base and an experiment barrel arranged on one side of the upper surface of the base, the rotating and lifting adjusting assembly is arranged on one side of the experiment barrel, the upper end of the rotating and lifting adjusting assembly is connected with the unmanned aerial vehicle loading platform, the unmanned aerial vehicle module is installed through the unmanned aerial vehicle loading platform, and the unmanned aerial vehicle module is adjusted to the height specified by the experiment along with the action of the rotating and lifting adjusting assembly to simulate spraying operation. According to the invention, by providing a standardized indoor test platform, the problem of non-uniform spraying effect caused by individual difference of operators is effectively solved, the uncertainty of manual operation is eliminated, and objective and quantifiable spraying effect data is generated under strictly controlled conditions.

The invention relates to the field of dispensing, and particularly discloses a high-precision continuous laser displacement height measurement detection method which comprises the following steps: S1, constructing a detection system; s2, in the continuous motion process of the motion platform, a high-speed data acquisition card synchronously acquires pulse signals of an X-axis encoder and a Y-axis encoder and analog quantity signals of a laser displacement sensor at a preset sampling frequency to obtain a synchronous position-height original data stream; s3, the upper computer PC unit screens out a height value corresponding to the target position from the original data stream according to a preset sampling strategy; the sampling strategy comprises a point mode, a line mode or a continuous acquisition mode; and S4, performing position compensation on the screened height value according to the response hysteresis characteristic of the laser displacement sensor to obtain a compensated actual height value.

The application relates to the technical field of artificial intelligence, and provides an offline vector library building method and system, an electronic device and a storage medium, which comprise the following steps: obtaining a to-be-processed directory from an embedding queue, performing vectorization processing on each to-be-processed data under the to-be-processed directory, generating vector data and putting the vector data into a storage queue; obtaining the vector data from the storage queue and batch writing the vector data into a vector database; collecting the current queue depth of each stage queue according to a preset period, and dynamically adjusting target parameters based on the deviation of the current queue depth and a preset target interval, so that the current queue depth is maintained in the preset target interval, and the target parameters comprise the parallelism and / or batch size of the processing stage corresponding to each stage queue. Through the adaptive control strategy of dynamically adjusting the parallelism and batch size based on the queue depth deviation, load balancing and steady-state operation of the whole process of offline vector library building are realized, and the application has the advantages of high data processing throughput, strong system pressure resistance and high resource utilization rate.

This invention discloses a multi-objective optimized method for the coordinated management of nitrogen and phosphorus in paddy fields, specifically relating to the field of intelligent agriculture. It utilizes a sensor network to collect real-time data on soil temperature and humidity, precipitation probability, field water depth, and available phosphorus content, constructing an environmental dataset based on a preset nitrogen requirement. The mineralization conversion coefficient is used to calculate the mineralized nitrogen value, and a runoff risk coefficient is generated based on precipitation, water depth, and phosphorus content after calibration. The difference between the mineralized nitrogen value and the nitrogen requirement is used to determine the pathway for topdressing based on a risk threshold: high-risk pathways are matched with basal fertilizer compression intervals, while low-risk pathways are linked to the mineralization difference and a proportional threshold to trigger tiered adjustments, ultimately outputting the topdressing ratio. The method disclosed in this invention quantifies environmental factors into computational parameters in real time, solving the problem of lag in traditional fertilization; it establishes a dual-path decision-making mechanism based on risk thresholds to simultaneously optimize nitrogen and phosphorus balance and runoff control; and it dynamically generates fertilization instructions to improve nitrogen utilization and reduce runoff phosphorus emissions.

The application discloses a kind of robot audio-visual fusion's question and answer type interaction method and system, belong to artificial intelligence and man-machine interaction technical field.Its method includes: obtaining voice instruction and generating task hypothesis;Dynamic adjustment AI visual perception resource;Combining speech and visual information carries out cross-modal verification;Judge ambiguity or poor view, and initiate active clarification question and answer or instruction movement view transformation;Execute task and obtain multi-view image by enhanced recognition movement mode to carry out three-dimensional fusion;Combining robot pose carries out spatial anchoring processing;Use stable coordinate information to generate contextual feedback information and output.The application adopts the combination strategy of active clarification, motion enhanced perception and high-precision spatial anchoring, can accurately solve the problem of instruction ambiguity and insufficient perception in high dynamic complex environment, improve the accuracy of robot task execution, the robustness of spatial positioning and the efficiency and naturalness of human-computer interaction.

The invention discloses a shield hob snap ring intelligent welding device and method based on visual positioning, and relates to the technical field of intelligent welding systems. A shield hob snap ring intelligent welding device based on visual positioning comprises a central controller, and a foundation structure and circulation system, an intelligent visual and positioning system, an integrated welding execution system and an environment protection system which are electrically connected with the central controller. The base structure and circulation system comprises a welding platform, a linear slide way assembly arranged on the welding platform and clamping assemblies symmetrically arranged on the two sides of a linear slide way. According to the shield hob snap ring intelligent welding device and method based on visual positioning, the position of a welding spot is intelligently recognized through a binocular vision system, self-adaptive centering clamping based on force control is combined, the accuracy and stability of the assembly state before welding are ensured, the welding path and parameters are uniformly planned and executed by the central controller, and the welding efficiency is improved. And the uncertainty of manual operation is eliminated.

This invention provides a powder sample sampling method and a powder particle size testing method for laser particle size analysis. The sampling method includes the following steps: providing the powder to be tested; determining the theoretical sampling weight range of the powder to be tested based on the expected particle size D50; and weighing the powder sample that falls within the theoretical sampling weight range. This invention accurately determines the theoretical sampling weight range of the powder based on its expected particle size D50, and uses this as the basis for sampling, fundamentally eliminating the uncertainty caused by human operation, improving the repeatability of test results between different operators and different batches; avoiding deviations in shading rate due to excessive or insufficient sampling, ensuring that particle size testing is carried out under optimal optical conditions, and improving the accuracy of test results; users do not need to repeatedly try different sampling amounts, significantly improving the one-time success rate, saving time, reducing sample consumption, and the method is simple, low-cost, and easy to promote.

The application provides a power distribution network fault accurate positioning method based on multi-terminal traveling wave wave head calibration and wave speed inversion, and belongs to the technical field of power distribution network fault positioning. The application comprises the following steps: installing a traveling wave collection terminal at multiple nodes of a power distribution network, and synchronously sampling to obtain a fault traveling wave signal; performing optimal phase-mode transformation to extract optimal line-mode components, and determining an initial traveling wave wave head coarse positioning time; adopting an ESMD-VMD-TEO adaptive method to calibrate the optimal line-mode components with high precision, and obtaining wave head positions of each measuring point; establishing a multi-terminal traveling wave positioning equation group based on the relationship between the wave head arrival time and the wave head position of each measuring point; constructing a weighted least square objective function based on the multi-terminal traveling wave positioning equation group, and inversely calculating a fault position, a traveling wave wave speed and a fault occurrence time by means of a Levenberg-Marquardt algorithm; constructing an energy spectrum correlation degree matrix to distinguish a fault branch; and outputting an accurate fault point position, a traveling wave wave speed and a positioning error confidence interval. The application realizes a tower level accurate positioning of a complex power distribution network fault.

This invention provides a code-driven method and apparatus for generating instructional videos. The method includes: responding to an instructional video generation request, creating a task instance and executing a script generation operation, outputting a script file and packaging it into an execution package; uploading the execution package and the corresponding execution instance to a task queue, and receiving incrementally uploaded scene video assets from the rendering end for video integrity verification; the scene video assets are obtained by the rendering end by pulling task instances in the waiting state of the task queue, downloading the corresponding execution package, and executing rendering tasks locally; and obtaining the instructional video based on passing the video integrity verification. This invention eliminates the uncertainty of human intervention, prevents inconsistencies in terminology or abrupt style due to human error from entering the final product, and ensures that the delivered instructional videos have a high degree of professionalism and consistency.

The application relates to a tape follow-up type automatic butt joint film connecting mechanism and belongs to the technical field of film connecting mechanisms. The mechanism comprises a mounting frame, an integrated frame slidably arranged on the mounting frame, a linear module arranged on the mounting frame in a lifting mode and used for driving the integrated frame to move along the width direction of a film material, and a lifting device arranged on the mounting frame and connected with the linear module. The integrated frame is sequentially provided with a tape disc placing device, a compression roller device and a tape shearing device. The application realizes a highly integrated follow-up design, improves the compactness of the structure, greatly simplifies the equipment layout and reduces the space occupation. In addition, since the path of the tape from unwinding to being used is greatly shortened and compressed in a movable integrated frame, the tape loses the possibility of long-distance suspension and drift in the conveying process, so that the sticking precision of the tape is improved.

This invention provides a method for extracting the dielectric constant of materials based on an improved NSGA-II algorithm, belonging to the field of electromagnetic parameter measurement technology for materials. The invention involves preparing sample plates of two different thicknesses based on the material to be tested and acquiring measurement data; preprocessing the measurement data to obtain preprocessed measurement data; and constructing a gradient-enhanced non-dominated sorting genetic algorithm to extract the dielectric constant from the preprocessed measurement data. This invention combines a high-precision free-space measurement platform with an algorithm featuring an adaptive hybrid optimization strategy, efficiently extracting the dielectric constant of materials by eliminating multivaluedness through multidimensional constraints, effectively solving the local optima and multivaluedness problems in traditional inversion methods.

This application discloses a global soil moisture inversion method and system based on reduced polarization GNSS-R, belonging to the field of satellite remote sensing and geophysical parameter inversion technology. The method includes: acquiring reduced polarization GNSS-R observation data of the target area; calculating the polarization ratio based on the reflectance of the first polarization channel and the reflectance of the second polarization channel; acquiring the soil clay content at the grid point corresponding to the specular reflection point in the target area; and inputting the polarization ratio and soil clay content into a preset soil moisture inversion model to calculate the soil volumetric water content. This application utilizes the reflectance ratio of polarization combinations to naturally offset the influence of vegetation and roughness, and constructs a linear inversion model that only requires soil clay content as a static parameter. This solves the technical problem of existing technologies relying on external auxiliary data and being unable to achieve near-real-time independent inversion, realizing soil moisture monitoring without external data and with high spatiotemporal resolution.

This application relates to the field of structural health monitoring technology, and discloses a method, device, equipment, and storage medium for structural condition monitoring, including: acquiring vibration signals and image sequences of a target structure; extracting features from the vibration signals to obtain a modal parameter set, and extracting features from the image sequences to obtain an apparent deformation parameter set; performing temporal alignment and adaptive weighted fusion of the features in the modal parameter set and the apparent deformation parameter set to obtain fused features; inputting the fused features into a random forest convolutional neural network hybrid model, outputting the anomaly probability of the target structure, and determining the health status of the target structure based on the anomaly probability. By simultaneously acquiring vibration and visual data, and extracting corresponding features for fusion, a mapping relationship reflecting internal dynamic characteristics and external geometric deformation is established, overcoming the shortcomings of traditional single monitoring methods with incomplete dimensions, and realizing integrated, high-precision monitoring and early warning of internal structural damage and apparent deformation.

The present application relates to the technical field of kingpin steering performance test, and particularly relates to a kingpin steering mechanism test device and a performance test method, the device comprising a base and a test mechanism, the test mechanism comprising a rotating assembly, a first load simulation assembly and a second load simulation assembly; the first load simulation assembly comprising a brake assembly, the brake assembly comprising a brake disc; the second load simulation assembly comprising a swing lever and an impact loading device, the swing lever and the brake disc being alternatively and detachably installed on the rotating assembly; the impact loading device being used for applying a transient impact force to the swing lever; wherein the second load simulation assembly is used for completing a steering retention impact resistance test, and the first load simulation assembly is used for completing a reducer gear clearance test, a rated torque test, a steering process impact resistance test and a kingpin steering mechanism stiffness test. The present application has the advantage of completely getting rid of the dependence on a whole vehicle or a large comprehensive rack, and greatly reducing the hardware investment, space occupation and preparation time required for the test.

The invention discloses a pressure transient data screening method based on seepage physical constraint, comprising the following steps: S1, acquiring multi-source monitoring data of a target well, and performing standardized reconstruction processing on the multi-source monitoring data to obtain a standardized time series data set; s2, extracting a potential pressure transient response sequence from the standardized time sequence data set based on transient event identification of a rheological state; s3, monotonicity verification is carried out on the potential pressure transient response sequence based on seepage physical constraints, sequences which do not pass the monotonicity verification are removed, and a verification sequence which passes the monotonicity verification is obtained; s4, multi-dimensional quality evaluation based on response integrity is carried out on the verification sequence, optimization is carried out according to a multi-dimensional quality evaluation result, and an optimized pressure transient response sequence is obtained. According to the method, high-quality pressure transient data can be obtained through efficient screening, the objectivity and accuracy of oil reservoir dynamic analysis are remarkably improved, and a high-quality data basis is provided for reservoir parameter inversion.

The application provides a method and system for automatic hanging of a suspension by three-dimensional vision measurement, the method comprising the following steps: collecting images of targets in an aircraft cabin, and obtaining pose information related to an actual suspension and an aircraft rack; based on the pose information, calculating pose deviation of a bomb loading vehicle relative to a design axis of the aircraft cabin in horizontal, vertical, pitch and rotation directions, and controlling a lifting device to move cooperatively with a six-degree-of-freedom platform to adjust the spatial position and attitude of the actual suspension, so that the suspension lug and the hook of the aircraft rack are precisely connected, and automatic hanging is completed. The method accurately measures targets in the aircraft cabin, can obtain the pose information of the suspension and the rack in real time and with high precision, and calculates accurate pose deviation. Based on the deviation, the lifting device and the six-degree-of-freedom platform move cooperatively to automatically and accurately adjust the spatial position and attitude of the suspension, and finally realize precise connection of the lug and the hook.