2043 results about "Large range" patented technology

The invention discloses an automatic welding device for a rotary alloy furnace tube, and belongs to the technical field of arc welding equipment.The automatic welding device for the rotary alloy furnace tube comprises a base and a U-shaped bin located at the top of the base, and the two ends of the interior of the U-shaped bin are jointly provided with a centering clamping mechanism used for clamping the outer side of the furnace tube; a driving mechanism for providing power for the centering clamping mechanism to clamp the furnace tube is arranged on the outer side of the centering clamping mechanism, and a welding mechanism is arranged on the inner top of the U-shaped bin. A local sealing design is adopted for the inflation mechanism, the annular air bag is attached to the inner wall of the furnace tube after being inflated, an independent cavity communicated with the outside only through a welding seam gap is formed near the welding seam, the protection requirement can be met only by filling the local space with argon, the whole furnace tube or a large-range external space does not need to be filled, and compared with traditional overall argon filling, the argon filling efficiency is greatly improved. The argon consumption is greatly reduced, the industrial gas purchase cost is remarkably reduced, and the production cost investment is reduced.

The invention relates to the field of river pollution treatment, and discloses a water quality treatment method, system, equipment and medium based on a remote sensing inversion technology, and the method comprises the following steps: S1, collecting a hyperspectral remote sensing image of a to-be-monitored water body, the hyperspectral remote sensing image comprising chlorophyll concentration, suspended matter concentration and dissolved oxygen; s2, based on the hyperspectral remote sensing image, preprocessing the hyperspectral remote sensing image, including geometric correction, atmospheric correction, noise removal and waveband fusion, to obtain a preprocessed image meeting an inversion precision requirement; and S3, inputting the preprocessed image into a water quality inversion model, and obtaining pixel-level chlorophyll, suspended solids and dissolved oxygen concentration data based on physical radiation transmission. By combining the hyperspectral remote sensing image and the water quality inversion model, large-range, real-time and high-precision water quality monitoring and pollution zoning are realized, model parameters are dynamically updated, and the timeliness and precision of water quality treatment are improved.

The invention discloses a multi-platform real-time field rice ear detection and counting method based on a visual converter, which is suitable for various acquisition platforms from a portable mobile terminal to an unmanned aerial vehicle terminal and the like, and meets the requirements of small-range accurate identification and large-range high-throughput monitoring. Aiming at the characteristics of multiple scales, multiple varieties, phenotype difference, time sequence change, complex field environment and the like in a data set, a rice spike detection counting network comprising a feature enhancement module, an efficient cross-space feature extraction network, a lightweight bidirectional feature fusion module and a number estimation and detection head module is constructed. The average precision mean value (mAP50) of the model reaches 0.8906 and is improved by 11.5% compared with that of an original model, the parameter quantity is reduced by 29%, and the calculated quantity (GFLOPs) is reduced by 48%. The method can effectively process rice ear images of different scales and growth periods, adapts to morphological change, overcomes interference such as illumination, phenotypic difference and shielding, and provides technical support for rice yield evaluation and field rice ear quality analysis.

The invention relates to the technical field of laser ranging, in particular to a double-optical-comb hybrid ranging device which comprises a signal detection optical path system and a signal demodulation optical path system. Wherein the signal detection optical path system comprises a first optical frequency comb, a first optical isolator, a first optical collimator, a first beam splitter prism, a reference mirror, a Faraday rotator, a convergence mirror and a target reflector; the signal demodulation optical path system comprises a second optical frequency comb, a second optical isolator, a second optical collimator, a half-wave plate, a second beam splitter prism, a third beam splitter prism, a first polarization controller, a first photoelectric detector, a reflector, a polarization beam splitter prism, a second polarization controller and a second photoelectric detector. A third polarization controller; and a third photoelectric detector. According to the invention, three ranging technologies of asynchronous optical sampling ranging, multi-heterodyne interference ranging and synthetic wavelength ranging are fused, and the problem that a large ranging range and high ranging precision cannot be simultaneously considered in the ranging process is solved.

The invention provides a satellite methane emission sub-pixel unmixing and tracing method, and belongs to the technical field of environment monitoring. Comprising the following steps: S1, tower footing methane flux observation micrometeorological attribution analysis; s2, carrying out ground movement observation on emission hot spots; s3, building a satellite sub-pixel scale methane emission model under the support of tower footing and ground mobile observation data; and S4, sub-pixel unmixing and regional tracing: in the known observation regions in the steps S1 to S3, combining the methane emission flux of the TROPOMI with the methane emission under the scale of the TROPOMI pixel in the step S3 to form a function, and resolving the function equation to obtain sub-pixel unmixing model parameters, and applying the sub-pixel unmixing model parameters to TROPOMI satellite pixels without ground observation to obtain a larger-range methane emission tracing distribution map. According to the method, the dependence on a prior hypothesis is reduced, the stability and reliability of a de-mixing result are improved, the source region identification capability is enhanced, attribution decomposition of different emission sources is realized, and the space-time precision of emission estimation is improved.

The invention belongs to the technical field of unmanned aerial vehicles, and particularly relates to an unmanned aerial vehicle low-altitude collaborative inspection method and device based on data acquisition, electronic equipment and a storage medium, and multi-aerial vehicle collaborative flight and data aggregation are realized by calling a plurality of unmanned aerial vehicles to form a logic formation set and constructing a communication topological structure by using relay nodes. According to the method, the formation is quickly established after task area analysis, parallel path coverage is realized through unified scheduling, and the inspection area in unit time is remarkably increased. In a multi-unmanned-aerial-vehicle cooperative mode, the unmanned aerial vehicles share environment sensing information, the flight path is dynamically adjusted, repeated flight and path conflict are avoided, and resource utilization is further optimized. Therefore, the method can effectively solve the problem of low inspection efficiency in the prior art, and realizes efficient, rapid and complete coverage of a large area.

The invention provides a power grid equipment large-range progressive real-time flood forecasting method based on a three-water-source Xinanjiang model, which abandons a basin homogenization hypothesis of a traditional lumped model, divides a target basin into subunits with spatial uniqueness and topological connectivity through a Thiessen polygon method, and accurately matches underlying surface spatial differentiation features; according to the method, the limitation of single parameter calibration is broken through, an NSGA-I I multi-objective optimization algorithm is adopted to be combined with historical flood data, a parameter optimization system containing multiple indexes such as a flood peak flow error and a peak present time error is constructed, a Pareto optimal solution set is generated, a parameter knowledge base is constructed in a classified mode, and the problem of poor parameter adaptability is solved; a geographically weighted regression method is used for fusing satellite remote sensing, ground rainfall station and hydrometric station data, a dynamic correction mechanism is established, model input is updated every 30 minutes, and the rainfall runoff calculation temporal-spatial resolution is remarkably improved; after subunit outlet flow riverway convergence calculation is completed based on a Muskingum method, power grid equipment space distribution and vulnerability threshold values are innovatively associated.

The invention provides a photovoltaic panel arrangement method and system under the same wind and light field, and relates to the technical field of photovoltaic panels, and the method comprises the steps: obtaining fan parameters and a photovoltaic panel arrangement region; based on the fan parameters, shadow data of a photovoltaic panel arrangement area within a preset duration are obtained; establishing a mapping relation between the arrangement parameters of the photovoltaic panel and the generating capacity per unit area in the presence of shadow data; clustering the shadow regions to obtain a plurality of shadow clustering regions; determining optimized photovoltaic panel arrangement parameters of each shadow clustering region by combining the mapping relationship and taking maximization of the generating capacity per unit area as a target; and arranging the photovoltaic panels in each shadow clustering area according to the optimized photovoltaic panel arrangement parameters. The power generation loss and the hot spot effect caused by shielding are reduced, and land waste caused by large-scale distribution forbidding is avoided.

The invention discloses an automatic cattle checking method and system based on two-dimensional panoramic vision, and belongs to the technical field of computer vision and intelligent breeding, and the method comprises the following steps: reasonably arranging a plurality of fixed cameras in a cattle farm area, obtaining the internal reference and distortion coefficient of each camera through employing a camera calibration technology, and obtaining the internal reference and distortion coefficient of each camera; performing real-time distortion correction on the collected video frames; on the basis of side-by-side splicing or homography matrix perspective transformation, all paths of corrected images are fused into a complete two-dimensional panoramic image, and a view blind area of a single camera is eliminated; calling a lightweight target detection model on the panorama, and extracting bounding boxes and confidence coefficients of all cattle at one time; sorting according to the confidence from high to low, performing IOU non-maximum suppression de-duplication on the detection frame, and ensuring that the same cattle only counts once in an overlapping region; and the whole process is completed through the edge computing node. According to the invention, efficient, real-time and accurate on-site cattle checking of a large-scale cattle farm can be realized.

The invention discloses an air jet loom reed defect detection device, and relates to the technical field of detection, the air jet loom reed defect detection device comprises a support table, a rotating shaft is rotatably connected in the support table, the surface of the rotating shaft is fixedly sleeved with a clamping gear, and the surface of the rotating shaft is movably sleeved with two torsion springs; the opposite ends of the two torsion springs are fixedly connected with the two sides of the clamping gear, so that the upward moving distance of the lifting rack is larger than the upward moving distance of the telescopic outer rod, then the lifting rack drives the rotating gear to rotate in a large range, a worker is conveniently reminded of unevenness of a reed wire on the reed, the reed is conveniently detected, and the working efficiency is improved. And meanwhile, a user can conveniently amplify detection data, so that a slight height difference can be conveniently amplified, a worker can be conveniently assisted in watching, the detection convenience is improved, the phenomenon of omission is prevented, and unqualified reeds are prevented from flowing into the market to the maximum extent.

The invention relates to a target level change detection method, device and equipment based on a visual large model, and a medium, and the method comprises the steps: carrying out the precise extraction of a large-range remote sensing image through employing an RD-YOLO rotation target detection network, and obtaining a dual-time-phase region of interest ROI comprising a large-scale target scene; carrying out the positioning detection of the dual-temporal region of interest ROI through employing an OD-YOLO target detection model, and generating a target region image comprising a candidate target bounding box; segmenting the candidate target bounding box by adopting a GE-SAM model of a visual large model SAM to generate a segmentation mask; and carrying out matching and intersection-to-union ratio calculation on the segmented masks, judging through a preset threshold value, and finally outputting a change detection result of the small-size target. According to the method, target-level change detection can be achieved without a large amount of specific scene annotation data, the cross-scene adaptability is high, the detection precision and efficiency are improved, and the application range is wider.

The invention belongs to the field of near-inertia internal wave modeling, and particularly relates to a near-inertia internal wave modeling method based on a reverse echo observation array, which comprises the following steps: arranging a reverse echo measurement device array in an observation area, and acquiring echo signals from the seabed to the sea surface; performing data cleaning and band-pass filtering on the signals, and extracting near-inertia internal wave signals; calculating the depth and the relative vorticity of a mixed layer by combining historical temperature-salinity data; calculating a wind input energy flux by using the wind stress data; calculating a net level energy flux by adopting a boundary integration method; judging whether the boundary energy flux influence is smaller than a threshold value or not, and if not, adjusting array layout; and finally establishing a multivariable linear model containing wind energy input, mixed layer depth, relative vorticity and energy flux. According to the method, the temporal-spatial resolution and prediction precision of near-inertia internal wave modeling are effectively improved, the problems that in a traditional method, the boundary effect is remarkable, and multi-factor comprehensive modeling is insufficient are solved, and the method is suitable for long-term efficient monitoring of a large-range marine environment.

The invention provides a large-range landslide susceptibility evaluation method and system based on a physical constraint U-Net model, and relates to the technical field of landslide disasters, and the method comprises the steps: obtaining an evaluation factor of a target region, and constructing a historical data set related to the evaluation factor and a landslide region; combining a U-Net model and physical constraints to construct a landslide susceptibility evaluation model; training the landslide susceptibility evaluation model through the historical data set; and inputting the real-time evaluation factor of the target area into the trained landslide susceptibility evaluation model for prediction to obtain a large-range landslide susceptibility evaluation result of the target area. The method solves the problems that the evaluation result obtained by the existing landslide susceptibility evaluation method has lower spatial resolution compared with the original input data, and the evaluation result is poor in effect when the evaluation area is larger.

The invention discloses a cross-modal fusion and multi-frequency coding view angle image generation method in an ultra-low orbit scene, and solves the problem of view angle condition generation and single image three-dimensional reconstruction method based on diffusion prior in the ultra-low orbit scene of an aircraft target. Due to insufficient condition information fusion capability, limited radiation or illumination characterization and insufficient cross-view-angle geometric constraint, a problem that a new view angle image with visual coherence and geometric consistency of texture details is difficult to obtain at the same time under large-range view angle and scale change is solved; according to the method, multi-order angle information of direction distribution is effectively captured through perceptual coding of a light direction vector, then the position of a light starting point coordinate is coded, and finally the pose of a camera pose parameter is coded, so that the influence of a relative pose on depth perception and perspective distortion in an image generation process can be depicted; the three coding results are used for a decoding stage of the potential diffusion model, and geometric consistency of detail recovery under a new view angle is effectively improved.

The invention discloses a soil organic matter spectrum prediction method based on texture perception residual superposition, and the method comprises the steps: converting the classified texture into a dummy variable for model training, thereby directly inputting the texture category and spectrum information into a trained model during application, and obtaining the soil organic matter content. The method does not need to test the texture, does not weaken the advantages of the in-situ spectrum of the soil, and can meet the demand of simply and efficiently predicting the organic matter content of the soil. According to the method, a mapping relation between different textures and residual error predicted values is established by training a second model, so that the residual error model provided by the invention can accurately capture difference values between baseline predicted values under different textures and real soil organic carbon content, and therefore, compared with the prior art, systematic errors can be displayed and corrected, and the accuracy and the reliability of the method are improved. And the model prediction performance is more stable, and the organic carbon content of the soil can be accurately predicted in a larger range of soil with strong heterogeneity.

The embodiment of the invention provides an underwater concrete scene three-dimensional reconstruction method, system and device and a storage medium, and relates to the technical field of underwater three-dimensional reconstruction, and the method comprises the steps: extracting feature points in each key frame image from a plurality of key frame images of video data, and obtaining feature matching point pairs; calculating relative poses of adjacent key frame images and three-dimensional coordinates of the matched feature points according to the pixel coordinates of the same matched feature point; calculating a pixel depth value of each pixel point according to the relative pose; and performing multi-view fusion according to the relative pose, the three-dimensional coordinates of the matched feature points and the pixel depth value of each pixel point, and generating a three-dimensional grid model of the underwater concrete scene. According to the method, the feature points in the enhanced video image are obtained, the moving distance and the translation vector of the shooting camera are calculated, and three-dimensional reconstruction is carried out in combination with the pixel depth value, so that the image acquisition quality is improved, point cloud data are saved, and the precision and efficiency of three-dimensional reconstruction of a large-range underwater scene are improved.

The invention discloses a landing positioning method and system based on fusion of vision and inertial navigation. The method comprises the following steps: collecting vision information of a current landing area; the visual information of the front landing area is mapped to an aligned grid of a map coordinate system through homography transformation, correlation matching is conducted on the visual information and a map through a frequency domain FFT algorithm, a matching result of rough matching is obtained, and rough matching is completed; the method comprises the following steps of: mapping an area subjected to rough matching and positioning to a grid aligned with a map coordinate system by utilizing homography transformation, performing spatial domain multi-window division on a larger range of images around the area subjected to rough matching and positioning, selecting a landmark area in each sub-window by applying an interest operator, performing spatial correlation matching on the landmark area and a map by utilizing a spatial correlation method, and performing spatial correlation matching on the landmark area and the map by utilizing a spatial correlation method. Finishing fine matching; inputting all matched observation results into an extended Kalman filter, and carrying out joint estimation on the matched observation results and the observation results of the inertial measurement unit; the method has the advantages that the robustness, the precision and the engineering applicability of an existing navigation positioning method are improved.

The invention relates to a coarse-fine integrated pointing mechanism for optical communication, and belongs to the field of optical communication equipment. The problems that in the prior art, a coarse pointing mechanism and a fine pointing mechanism are separated, so that the size is large, and cooperative work efficiency is low are mainly solved. The technical scheme is characterized in that the coarse pointing function and the fine pointing function are integrated into a single compact structure, large-range coarse adjustment around an azimuth axis y1 is achieved through a rotary table on a base, and high-precision fine adjustment around a pitch axis x2 and an azimuth axis y2 is achieved through a reflector supporting frame and a reflector on a mounting piece; the first motor, the second motor and the third motor respectively drive; full-state sensing is performed through a multi-axis angle sensor, a light beam position detector and a temperature monitoring module; and the controller performs real-time thermal error feedforward compensation on the driving instruction of the fine pointing motor according to the temperature monitoring data and a pre-stored thermal deformation compensation model. The mechanism is mainly used in a free space optical communication system, and realizes rapid capture, high-precision alignment and stable tracking of light beams.

The invention relates to the technical field of gas leakage detection and optical remote sensing, particularly discloses a laser natural gas leakage point positioning and imaging processing method based on an unmanned aerial vehicle, and aims to solve the problems of multiple coverage blind areas, low positioning precision and easiness in environmental interference in the prior art. The method comprises the following steps: acquiring a methane concentration integral value through a tunable diode laser absorption spectrum system carried by an unmanned aerial vehicle; constructing an initial concentration point cloud in combination with the high-precision pose and scanning angle data; performing space-time filtering and interpolation enhancement by adopting Kalman filtering and a Gaussian plume model to generate a high-confidence three-dimensional concentration field; and accurately positioning a leakage source by using a gradient rising tracking algorithm in combination with curvature and continuity constraints, and matching pipe network geographic information to perform verification alarm. According to the technical scheme, large-range, high-precision and full-automatic natural gas leakage detection and visual positioning are realized, and the signal-to-noise ratio, the anti-interference capability and the response efficiency are remarkably improved.

The invention discloses a segmented multi-source shoreline extraction and calibration method and system based on physical prior, and particularly relates to the technical field of remote sensing image processing and computer vision, a consistency evaluation and reliability measurement mechanism of a multi-source surface water product is integrated on a data level, and a high-quality training sample set is constructed by using water persistence characteristics; on the model level, a feature extraction framework fusing physical prior guidance and a geometric self-adaptive operator is researched and developed, a multi-dimensional physical constraint and noise tolerance loss function is constructed, and pixel-level accurate recognition and topological rigorous quality closed-loop calibration of a shoreline under a large-range remote sensing image are achieved.

The invention discloses an electric power tower damage identification method and system based on satellite images, and belongs to the technical field of image identification and electric power facility monitoring. The method comprises the following steps: acquiring an image through a satellite, and extracting a tower image through semantic segmentation and coordinate matching; identifying edge key points by using a key point detection algorithm, and judging whether the tower is deformed and damaged by analyzing a distribution mode of the edge key points; and if the tower is not damaged, further combining a rational function model and directional frame detection to respectively calculate an inclination angle and a bounding frame angle, and comparing with surrounding tower parameters to judge whether inclination damage occurs or not. According to the method, identification can be completed only through a single post-disaster satellite image, dependence of a traditional method on pre-disaster data is overcome, rapid, efficient and automatic disaster damage investigation of large-scale power lines is achieved, and the emergency response capacity of power grid disasters is remarkably improved.

The invention discloses a planetary atmospheric trace gas spectrum telemetering and in-situ fusion detection system and method, and belongs to the technical field of deep space exploration. The detection system has a telemetering mode and an in-situ detection mode, and comprises a telescope module, a laser light source module, a heterodyne spectrum telemetering module, an in-situ absorption spectrum module, a gas sampling and enriching module and a signal acquisition, processing and control module. In the on-orbit stage, a heterodyne spectrum telemetering module is adopted, and a laser light source and sunlight signals are subjected to frequency mixing for atmospheric component telemetering; and after the detector enters an atmospheric descending section, the in-situ absorption spectrum module performs in-situ absorption spectrum measurement by utilizing the detection light of the same laser light source. By performing space-time fusion and joint inversion on the data acquired in the two modes, coherent detection from large-range general survey to fixed-point detailed survey is realized, the problems of load separation of telemetering and in-situ detection and difficulty in data fusion are solved, and the detection efficiency, the data consistency and the integration level of the system are greatly improved.

The embodiment of the invention relates to the technical field of space acquisition, and discloses a historical and cultural block three-dimensional space data rapid acquisition and display method, which comprises the following steps: acquiring multi-source three-dimensional space data of a historical and cultural block through a collaborative acquisition system; inputting the multi-source three-dimensional space data into a semantic data processing engine; in the semantic data processing engine, processing the multi-source three-dimensional space data to generate a digital twin model comprising semantic information; and presenting the digital twin model to a user through an interactive display platform and providing an interactive function based on semantic information. According to the method in the embodiment of the invention, multiple acquisition modes such as ground scanning, unmanned aerial vehicle aerial photography and handheld equipment detection can be integrated, large-range areas such as block roofs and high-altitude facilities can be quickly covered through the unmanned aerial vehicle, and blind areas of a single acquisition mode can be made up by depending on the handheld equipment to go deep into hidden corners such as narrow roadways. And the block can be comprehensively and abundantly displayed based on the semantic digital twinborn model.

The application discloses a rotating mirror type binocular vision laser tracking light break recovery system and method. The system comprises a rotating mirror type laser tracker and a binocular vision module, two cameras in the binocular vision module are symmetrically installed on both sides of a laser beam, and camera visual axes and a laser optical axis are reflected to a working area through a rotating mirror of the tracker. The method comprises the following steps: a virtual imaging plane model in which the camera visual axes and the laser optical axis are coincident is constructed in advance; after the light break occurs, an infrared illumination light source of a vision system is modulated, frame difference images of modulation wave crests and troughs are acquired and processed, a current position of a target mirror and a predicted light break recovery rotation angle are obtained, and error compensation is performed on the current position and the predicted light break recovery rotation angle; and corresponding motors are driven to rotate according to the compensated light break recovery rotation angle, so that the laser beam is re-aligned to the target mirror. The application reduces the coaxial installation difficulty of a vision system of a rotating mirror type laser tracker, and improves the target mirror recognition rate and the light break recovery servo angle accuracy in a large range of complex environments.

The invention provides a wide-adjustment high-reliability electric propulsion system and a control method. The wide-adjustment high-reliability electric propulsion system comprises a pressure adjustment module, a flow adjustment module and a Hall thruster. The flow adjusting module is composed of an electromagnetic valve and a flow distributor. According to the Hall thruster flow distributor, through different previous series-parallel connection relations, on the premise that flow distributors are not added, the Hall thrusters can work in pairs, meanwhile, the backup number of the cathode flow distributor and the anode flow distributor is increased, and the system reliability is improved. By arranging the flow resistance step of the flow distributor, the large-range flow adjusting capacity of the cathode and anode inlets of the Hall thruster can be obtained, and therefore the large-range variable thrust working mode, the cathode large-flow ignition mode and the anode low-flow starting mode of the Hall thruster are achieved.

The invention provides a day-ahead operation risk assessment method, device, equipment and medium for a double-high power system considering large-range inertia fluctuation, and relates to the field of power operation risk assessment, and the method comprises the steps: generating a plurality of wind and light output scenes and corresponding unit start-stop decisions through employing a scene generation model and a random unit combination optimization model; calculating probability distribution of N-1 faults of the equipment in different time periods based on the unit equipment parameters; respectively calculating a minimum inertia demand, a maximum inertia demand, a fixed inertia and an adjustable inertia based on a unit start-stop decision and probability distribution of N-1 faults of equipment in different time periods; and in combination with the fixed inertia, the adjustable inertia, the minimum inertia demand and the maximum inertia demand, an inertia supply shortage risk and an inertia supply excess risk are evaluated. Therefore, the fixed unit attributes and the uncertain fault time are combined, the potential risk of the power system is comprehensively captured, the minimum inertia and the maximum inertia required by the system are accurately calculated, and a scientific basis is provided for reasonable configuration of inertia resources.

The invention discloses an impedance matching plate, an impedance matching system and an impedance matching method, and relates to the technical field of electronic engineering, the impedance matching plate comprises a control module and a series resistance module, the series resistance module comprises a plurality of resistor gating modules connected in series and a first switching device, the resistor gating modules are respectively arranged on different target resistor units, and the first switching device is connected with the control module. Each resistor gating module comprises resistors with different resistance values and a second switching device which are connected in parallel, and the control module receives a resistance value adjusting instruction containing a target resistance value and generates a control signal according to a resistance value setting field in the resistance value adjusting instruction; the series resistance module conducts the target resistance gating module connected with the first switching device corresponding to the target resistance unit according to the control signal, and conducts the resistor corresponding to the second switching device in the target resistance gating module to generate a target resistance value, so that the problems that the large-range resistance adjustment cannot be realized and the impedance matching efficiency is low can be solved; the technical effects of adjusting the resistance in a large range and improving the impedance matching efficiency are achieved.

The invention relates to the technical field of deformation monitoring, and discloses a large-range deformation measurement method and device based on multi-camera space-time consistency under the complex working condition of AI + vision + IMU fusion. The method comprises the steps of multi-camera data synchronization, IMU data fusion, AI algorithm optimization, space-time consistency calculation and deformation compensation. The method comprises the following steps: enabling multiple cameras to jointly work through a space-time synchronization technology to obtain a multi-view image, recording motion information by using an IMU (Inertial Measurement Unit) to compensate visual errors, fusing and optimizing data by using an AI deep learning model, constructing a measurement model through space-time consistency analysis, and carrying out deformation compensation by combining visual and IMU information. The method avoids the measurement limitation of a single camera, effectively eliminates the measurement error of a complex environment, can achieve high-precision real-time dynamic deformation monitoring in a large range, can be widely applied to the fields of civil engineering, aerospace and the like, and has remarkable innovativeness and application value.

The invention relates to the technical field of metallurgy preparation of heterogeneous materials, in particular to an efficient laser cladding preparation method of nickel-based superalloy on the surface of copper alloy, which comprises the following steps: increasing the absorptivity of the copper alloy to infrared laser through preheating, and carrying out laser cladding on GH3625 alloy on the surface of Cu-Cr-Zr alloy through regulating and controlling the components of a copper alloy / nickel alloy intermediate layer, so as to prepare the nickel-based superalloy on the surface of Cu-Cr-Zr alloy. And formation of a microstructure in the non-equilibrium solidification process is controlled, the process is optimized, and the mechanical property of the material is improved. According to the method, the intermediate layer is utilized to perform non-equilibrium state metallurgy preparation of the GH3625 alloy on the surface of the Cu-Cr-Zr base material, compared with the method without adding the intermediate layer, after the intermediate layer is added, the content of the copper element in a molten pool is increased, liquid-phase separation is promoted, a large-range Ni-Cr core shell is formed to serve as a low-energy nucleation site, crystal grains are refined, and the performance of the Cu-Cr-Zr alloy is improved. Further, a fine grain strengthening effect is achieved; the thickness of the element diffusion layer is also increased by adding the middle layer, the element uniformity is promoted, the dependence on Malangori is reduced, the heat input is reduced, the optimization of process parameters is realized, and the mechanical property of the heterogeneous material is further improved.

The invention provides a multilayer laser wind finding radar data processing method and system, and relates to the technical field of radar data processing. The method comprises the following steps: acquiring echo signals of each height layer, synchronously acquiring meteorological parameters of visibility, humidity and rainfall intensity, judging weather types according to meteorological conditions, and setting corresponding SNR reference thresholds; dividing a near-surface layer, a middle layer and a high-altitude layer based on the SNR statistical characteristics of the height layer, and implementing threshold difference adjustment; performing threshold dynamic smoothing according to the meteorological change rate; judging the data validity based on the smoothed threshold sequence, and performing graded repair on discrete missing points, continuous missing segments and large-range missing regions; and finally, calculating the confidence coefficient through the SNR threshold value factor and the repair algorithm factor, and outputting a wind field profile with a reliability identifier. And the data utilization rate, the restoration precision and the result credibility under the complex meteorological condition are remarkably improved.