281 results about "Three dimensional motion" patented technology

Some embodiments of a method may include: obtaining a reference 3D Gaussian frame, a camera position C, and a time t; extracting a multi-scale feature for each 3D Gaussian of one or more 3D Gaussians using a neural network block, wherein the multi-scale feature represents multi-scale spatial information about a dynamic object or scene; predicting 3D motion based on the multi-scale features and the time t; predicting a 3D Gaussian frame for time t by manipulating the one or more 3D Gaussians in a spatial domain based on the predicted 3D motion; and outputting the 3D Gaussian frame for time t.

The invention discloses a scene three-dimensional reconstruction and vector information extraction method and device based on vehicle return data, equipment and a storage medium, and the method comprises the steps: carrying out the preprocessing of a time sequence image returned by a vehicle and corresponding pose data, and obtaining a semantic mask and a camera pose of each frame of image in the time sequence image; based on the semantic mask and the camera pose, performing three-dimensional geometric reconstruction on the static scene area in the time sequence image to obtain a static three-dimensional scene model; a dynamic target is separated from the time sequence image according to the semantic mask, three-dimensional motion modeling and independent three-dimensional reconstruction are carried out on the dynamic target, and a dynamic target three-dimensional model is generated; and generating a dynamic three-dimensional scene model and vector labeling information based on the static three-dimensional scene model and the dynamic target three-dimensional model. According to the method, the limitation of automatic driving shadow mode data is overcome, the three-dimensional reconstruction of the scene and the automatic generation of the true value information are realized, the data acquisition cost is further reduced, and the efficiency of automatic driving research and development is improved.

The invention relates to the technical field of three-dimensional analysis, in particular to an oral cavity three-dimensional motion analysis system based on dynamic occlusion scanning. The system comprises an oral cavity occlusion feature extraction module, a dynamic occlusion reconstruction module, an occlusion track smoothing module and an oral cavity motion abnormity identification module, and a multi-view structured light scanner can be used for carrying out image scanning on the oral cavity in the dynamic occlusion process so as to obtain a multi-frame original occlusion image sequence; occlusal feature extraction and three-dimensional occlusal reconstruction are carried out on the multiple frames of original occlusal image sequences to construct corresponding three-dimensional occlusal model sequences; a dynamic occlusion trajectory prediction model is constructed based on the three-dimensional occlusion model sequence, oral cavity three-dimensional motion analysis and occlusion trajectory smoothing filtering processing are carried out, and a smooth three-dimensional occlusion motion trajectory is generated; and performing oral cavity motion abnormity identification according to the smooth three-dimensional occlusion motion track so as to generate an oral cavity occlusion three-dimensional motion abnormity identification result. According to the invention, accurate capture and analysis of three-dimensional motion of the oral cavity can be realized.

The invention discloses a non-consistency multi-focus unit modification system for laser slicing of transparent materials. The non-consistency multi-focus unit modification system comprises an ultra-short pulse laser, a light beam regulation and control system, a light beam shaping system, a focusing objective lens, a visual positioning system and a high-precision three-dimensional motion platform, a transparent material sample wafer to be sliced is placed on the high-precision three-dimensional motion platform; the ultrashort pulse laser provides picosecond laser beams for the whole system, the laser beams generated by the ultrashort pulse laser are transmitted to the light beam shaping system through the light beam regulation and control system to generate multiple inconsistent laser beams, and the multiple inconsistent laser beams are focused and shrunk through the focusing objective lens to obtain multiple inconsistent focuses. The focus is focused in a transparent material sample wafer on a high-precision three-dimensional motion platform for slicing; wherein the high-precision three-dimensional motion platform realizes the movement of a transparent material sample wafer in x, y and z directions; and the visual positioning system is used for identifying and positioning the transparent material sample. On the premise that the slicing quality is guaranteed, the processing efficiency is remarkably improved.

The invention discloses an automatic grading device for thermal shock cracks of a coating and an application method. Comprising a terahertz wave detection module, a laser ultrasonic excitation and detection module, a high-precision three-dimensional motion control platform, a multi-mode signal synchronous acquisition and processing unit, a crack intelligent grading evaluation unit, an environment simulation and temperature control unit, a protective shell and a human-computer interaction interface. The near-surface dielectric property change of the coating is represented through the terahertz technology, the deep mechanical property evolution is detected through the laser ultrasonic technology, the thermal shock service condition is reproduced in combination with a high-temperature environment simulation unit, and a multi-modal feature fusion algorithm and a physical model and machine learning collaborative inversion model are adopted to obtain the thermal shock resistance of the coating. And automatic quantitative evaluation and severity grading of the depth, density, length and network connectivity of the thermal shock cracks of the thermal barrier coating are realized. The problems that an existing single detection method is insensitive to vertical cracks, poor in high-temperature environment adaptability and low in manual evaluation efficiency are solved.

The invention provides a femtosecond and picosecond composite laser welding method and equipment for heterogeneous materials. The femtosecond and picosecond composite laser welding method specifically comprises the steps that glass and metal are stacked on a three-dimensional motion platform and clamped through a clamp; femtosecond laser (with the pulse width of 50-1000 fs and the peak power density of 10-10 W / cm) and picosecond laser (with the pulse width of 1-200 ps and the peak power density of 10-10 W / cm) are adjusted by different beam expanding systems, and after focusing, picosecond light spots completely wrap femtosecond light spots; the composite laser acts on a welding area and a femtosecond laser focusing interface in a time-space synchronization mode, plasma is excited to enable metal to be melted to fill gaps, picosecond laser forms a wide-area heating field on the femtosecond periphery, a violent temperature gradient is regulated and controlled to be in a gentle state, the preheating and after-heating effects are achieved, cracks are restrained, absorption is enhanced, and the welding strength is improved; and the composite laser is controlled by a control system to weld according to a specified path, so that high-strength connection of the glass / metal heterogeneous materials is realized. And the method becomes a breaking key for regulating and controlling the temperature gradient, inhibiting crack generation and improving the welding strength.

The invention relates to the technical field of aerial target identification, and discloses an aerial dynamic target accurate identification method and system. The method comprises the following steps: acquiring multi-dimensional spectral data of a target through a multi-spectral imaging device, extracting spatial distribution characteristics, establishing a three-dimensional motion track model according to the spatial distribution characteristics, and calculating an instantaneous velocity vector; a motion deviation index set is generated in combination with preset reference motion parameters, abnormal behavior categories are divided through clustering analysis, and a key frame sequence is marked; reconstructing a local motion characteristic spectrum based on the key frame sequence, extracting morphological change parameters, and inputting the morphological change parameters into a pre-trained target recognition network to obtain a type recognition result and a confidence score; when the confidence coefficient is lower than a threshold value, activating a supplementary recognition process, acquiring high-resolution texture data, and fusing the high-resolution texture data with the initial recognition result to generate a final recognition tag; and updating the feature database and adjusting the network weight according to the final identification tag.

The invention discloses a three-dimensional motion estimation method based on an event camera. The method comprises the following steps: 1, constructing a time-space decoupling event time sequence and spatial representation; 2, geometric structure and context features are extracted through a space encoder, and time sequence evolution features are extracted through a time sequence encoder; 3, respectively constructing a spatial correlation graph and a time sequence correlation graph based on the geometric structure characteristics and the time sequence evolution characteristics; 4, constructing a pixel track curve according to the event density; 5, geometric structure and time sequence evolution characteristics are sampled along the pixel track curve, and a space-time correlation graph is generated; 6, iteratively optimizing pixel track curve parameters according to the space-time correlation graph and the context features; and 7, utilizing the optimized pixel track curve and the derivative thereof to accurately predict the three-dimensional motion. The method obviously improves the three-dimensional motion estimation precision of the event camera in a complex scene, is suitable for the fields of automatic driving and robots, and has a good engineering application value.

The invention discloses a Delta robot motion limit calibration method, which is characterized in that a limit theoretical value of a tail end reachable working space range in a coordinate axis direction is obtained through robot structure parameters, then a cuboid space covering the limit theoretical value is generated, and three-dimensional grid division is carried out; and performing kinematics solution verification on the generated three-dimensional grid points, filtering out unreachable points to obtain a discrete point cloud set of a reachable space, then performing dimension reduction processing in a hierarchical slicing manner, extracting boundaries in a kernel density estimation manner, performing fitting to generate a boundary curve, and obtaining the three-dimensional motion limiting boundary of the tail end of the robot. According to the method, waste of effective space can be better reduced, dependence on human subjective experience is eliminated, and calibration repeatability and efficiency are improved.

The invention belongs to the technical field of motion data optimization, and discloses a double-path parallel motion data optimization method fusing space-time priori and attention, and the method proposes a double-priori attention module, fuses space and time priori constraints, facilitates the improvement of the modeling capability of Transform on the dependence of a joint structure and a time sequence, and improves the accuracy of motion data optimization. And the space rationality of the skeleton structure is enhanced. An affinity matrix is constructed through a skeleton connection matrix and a learnable topological matrix, the spatial rationality and time sequence coherence are enhanced, prior bias is superimposed in attention calculation, data driving and kinematics constraint are considered, and the robustness and accuracy of the model are improved. Compared with a traditional method, the method has the advantages that the three-dimensional motion data optimized by the method is more accurate in detail processing, and particularly, the precision is obviously improved in expression of rapid gestures or tiny actions. In addition, the model structure is simplified, and the calculation efficiency is also remarkably improved.

The invention discloses an unmanned aerial vehicle multi-mode fusion radio positioning and signal identification method and system, and relates to the technical field of radio positioning and detection.The method comprises the steps that an airspace radio environment is continuously monitored in a monitoring area through all receiving stations, a power spectrum sequence and an unmanned aerial vehicle communication signal are obtained, and spectrum features are extracted from the power spectrum sequence; for the same launch event, acquiring a three-dimensional motion track of the unmanned aerial vehicle according to the arrival time of each receiving station; echo signals generated by unmanned aerial vehicle rotor wing and vehicle body movement are obtained through a radar, and micro-Doppler features are extracted from the echo signals; acquiring protocol related modulation features, cyclic spectrum features and protocol features according to the unmanned aerial vehicle communication signals; performing multi-modal feature fusion on the spectrum feature, the micro-Doppler feature, the modulation feature, the cyclic spectrum feature and the protocol feature to obtain a deep joint feature; identifying the type of the unmanned aerial vehicle according to the deep joint feature, and obtaining a type label; and constructing an unmanned aerial vehicle feature signature by using the category label, the three-dimensional motion trail and the depth joint feature. According to the invention, the accuracy, robustness and supervision capability of unmanned aerial vehicle positioning and signal detection in a complex environment can be improved.

The invention relates to the technical field of co-seismic landslide risk evaluation, in particular to a near-fault single co-seismic landslide motion range mapping method and system. The method comprises the following steps: acquiring fracture structure data of a research area; positioning a main seismic fracture based on the fracture structure data, and performing fracture mechanism analysis to obtain seismic source parameter data; constructing a fault geometric structure and earth crust medium structure model containing a three-dimensional terrain based on the fracture structure data and the seismic source parameter data to obtain three-dimensional structure model data; and setting fault source parameters and stratum velocity medium parameters based on the source parameter data and the three-dimensional structure model data to obtain seismic simulation input parameters. According to the method, the whole process of near-fault co-seismic landslide from seismic triggering to accumulation is accurately reproduced through an integrated physical driving simulation frame, the three-dimensional motion range and the danger partition are evaluated in a high-precision mode, and a reliable basis is provided for risk evaluation and disaster prevention decision making.

The invention discloses a brain-computer interface-based hand function rehabilitation auxiliary training method, which belongs to the technical field of rehabilitation training, and specifically comprises the following steps of: acquiring an original electroencephalogram signal of hand action of a patient, and synchronously recording an actual movement track of a healthy side hand; separating the original electroencephalogram signal into an action intention signal and an action control signal; activating a mirror image hand model in the virtual training scene based on the action intention signal, and mapping the action control signal into a three-dimensional motion parameter; dynamically correcting the joint movement range of the mirror image hand model according to the actual movement track of the uninjured side hand, and generating virtual hand actions matched with the physiological features of the patient; extracting track key point coordinates of the mirror image action and a joint angle change sequence, and converting the track key point coordinates and the joint angle change sequence into a driving instruction of affected side exoskeleton equipment; the exoskeleton resistance change is fed back to the virtual training scene in real time, and the motion damping of the mirror image hand model is adjusted; according to the invention, personalized precise assistance of hand function rehabilitation training is realized, and the adaptability and effectiveness of training are improved.

The invention discloses a building construction experience method and system based on a VR technology, and relates to the technical field of construction safety training, and the method comprises the steps: generating a building construction basic scene model based on a digital twinning technology, adjusting the complexity through a machine learning algorithm, implanting a dynamic risk hidden danger, and forming a dynamic virtual scene; setting a multi-level risk trigger threshold based on the scene, generating a trigger result and constructing a matched emergency scene sequence; calling an emergency scene sequence, and collecting user operation behavior data and physiological feature signals; synchronizing operation data, guiding and marking potential risk points, analyzing data relevance and identifying dangerous operation modes; recording a three-dimensional motion track, and generating a holographic evaluation report; and constructing a user cognitive defect map based on the report, analyzing virtual component safety parameters in the associated emergency scene sequence, and carrying out targeted re-experience training. The problems that traditional training is abstract, and existing VR training only corrects operation and does not repair cognition are solved, and training pertinence and effectiveness are improved.

The invention discloses an ultrasonic abrasive flow surface texture machining device and method based on an auxiliary magnetic field, and belongs to the field of precision machining and surface engineering. The ultrasonic abrasive flow surface texture machining device comprises a workbench, an ultrasonic vibration generating device, a magnetic field generating device, an abrasive flow machining system and a three-dimensional motion platform. The composite abrasive particle suspension is composed of a basic solution, carbonyl iron powder magnetic particles and silicon carbide abrasive particles. According to the method, magnetic particles are guided by a magnetic field to form a chain along magnetic lines of force, ultrasonic high-frequency impact is combined, abrasive materials are driven to impact the surface of a workpiece in order, a submicron texture with the consistent direction and the uniform size is formed, the depth ranges from 0.2 micrometer to 2 micrometers, and the width ranges from 1 micrometer to 20 micrometers. Texture parameters are flexibly regulated and controlled through magnetic field and ultrasonic parameters, and the method has the advantages of being high in machining precision, high in controllability, low in cost, environmentally friendly and recyclable, is suitable for precise parts of bearings and cutters, and can remarkably improve the tribological performance and wettability of the parts.

The invention provides an astronaut physical exercise process intelligent guide feedback method and system, and relates to the technical field of data feedback, and the method comprises the steps: obtaining three-dimensional motion track data in an astronaut training process, and carrying out kinematics analysis calculation to obtain a joint angle sequence and limb space posture parameters; the method comprises the following steps: obtaining a deviation vector by comparing and analyzing with a standard action template, generating a posture correction instruction and feeding back in real time, and regulating and controlling load parameters of training equipment, thereby realizing accurate guidance and intelligent correction in the astronaut training process, and improving the training effect and safety.

The invention relates to the technical field of ecological monitoring and computer vision, and particularly discloses a large-scale bird flock automatic labeling synthetic data generation method and system. The technical problem to be solved is to overcome the defects that in the prior art, the acquisition cost of large-scale bird flock counting task annotation data is high, the quality is difficult to guarantee, and the authenticity and scale of synthetic data are limited. According to the technical scheme, the method comprises the following steps: based on acquired real small-scale bird flock three-dimensional trajectory data, performing group scale expansion by using a collective motion model such as an inertial spin model, and generating a large-scale bird flock three-dimensional motion trajectory; a pre-established three-dimensional bird model and a flight animation are endowed with the motion trail, rendering is performed in a virtual rendering engine, and an initial synthetic image and a corresponding pixel-level precise labeling mask including a binary mask of the whole bird flock and an instance segmentation mask of each individual are generated; and performing visual reality enhancement processing on the initial synthetic image, migrating the real bird texture to the synthetic bird through style migration, and fusing the mask and the real background image to generate a final synthetic image with high reality, and strictly maintaining the integrity of the annotated mask at the same time. The method is mainly used for automatically generating precisely labeled and highly realistic large-scale bird flock images, provides efficient data support for bird flock automatic counting model training, and can be applied to ecological monitoring and protection.

The invention discloses an ultrasonic nondestructive testing system and method for defects of a flip-chip. The ultrasonic nondestructive testing system comprises an upper computer, a pulse transceiver, an acquisition card, an ultrasonic sensor, a displacement platform, a three-dimensional motion platform and a motion controller, the upper computer serves as a control platform and is responsible for control instruction issuing and data processing. The pulse transceiver, the acquisition card and the high-frequency ultrasonic sensor form a signal acquisition and transmission platform which is responsible for transmitting, receiving, transmitting and analog-to-digital conversion of ultrasonic signals; the displacement platform is used for fixing the flip-chip bonding chip; the three-dimensional motion platform and the motion controller form a three-dimensional motion control system, and the three-dimensional motion control system is responsible for carrying an ultrasonic sensor to execute scanning at different spatial positions. The chip is integrally detected, welding spots do not need to be detected one by one, and the defect detection efficiency can be greatly improved.

The application discloses a kind of superfast laser processing system and method that can steplessly regulate the inclination of micro slot side wall, including laser, laser exit beam is divided into two beams after beam splitter, wherein beam 1 is parallel to Y axis, beam 2 is parallel to X axis;Beam is reflected after first mirror and exits parallel to Y axis;Two beams are vertically incident into double-beam adjustable tilt moving device, and after regulating light beam, respectively through second mirror, third mirror and through first convex lens, second convex lens, it converges in a certain angle and a certain interval on the surface of workpiece to be processed, and the workpiece to be processed is clamped on three-dimensional motion platform, and the focal point of two intersecting converging beams is relatively moved with workpiece to be processed, to realize the laser etching processing of surface micro slot;The application can regulate the inclination of two sides respectively to realize the efficient controllable processing of rectangular micro channel, other side wall inclination micro channel and even negative inclination micro channel.

The application provides a frozen and thawed rock stratum blasting hole dynamic optimization drilling method, rock mass vibration is excited, vertical direction vibration data of an undrilled hole area on the ground and axial vibration data of a drilled hole area are collected, and a multi-source vibration data set is constructed; based on the data set, a rock mass structure characteristic reconstruction algorithm is applied to dynamically represent internal defect distribution and structure strength parameters, three-dimensional space coordinates of a subsequent to-be-drilled hole position and optimal drilling path instructions are generated, and the instructions are issued to a drilling control system; data of a positioning module and a navigation module are fused to monitor a drilling tool pose, a three-dimensional motion trajectory is constructed, an optimal obstacle avoidance path is dynamically planned according to the instructions, a drilling pose adjustment strategy containing a drill rod flexural deformation compensation amount is generated, and the drilling pose adjustment strategy is output to an adaptive trajectory adjustment mechanism; the drilling tool is driven to drill along the obstacle avoidance path, the mechanism is used for real-time regulation and control of a drilling trajectory deflection angle and a feed rate, the drilling tool motion trajectory is ensured to dynamically coincide with the target path, drilling precision is improved, and the risk of drilling tool jamming is reduced.

The utility model relates to the technical field of medical instruments, in particular to a bone graft material forming and cutting device. A bone graft material forming and cutting device comprises a shell, an observation plate, a sealing door, guide plates, a loading frame, a first electric sliding rail and the like, a hollow cavity is formed in the shell from the left side to the middle, the observation plate is installed on the front side of the shell, the sealing door is rotationally connected to the left side of the shell, and the guide plates are fixedly connected to the bottom of the cavity in a bilateral symmetry mode; a loading frame is slidably connected to the upper portion of the guide plate, and first electric sliding rails are installed on the rear side wall of the cavity in a bilateral symmetry mode. A three-dimensional motion system composed of the first electric sliding rail, the second electric sliding rail and the third electric sliding rail is arranged, automatic control is achieved in cooperation with the controller, the high-precision non-contact cutting effect on bone graft materials is achieved, the closed design is adopted, the pollution risk possibly caused by traditional mechanical cutting is reduced, and the cutting efficiency is improved. And the quality and the safety of the material are ensured.

The invention provides a kidney needle biopsy quantitative teaching evaluation system and method based on mixed reality, and the system comprises a virtual-real space registration unit which is used for building the space mapping between a virtual kidney model containing a renal cortex layered anatomical structure and a simulation entity training model body, and completing the space registration of the virtual model and the entity model body; the operation data acquisition module is used for acquiring three-dimensional motion trail data of the puncture needle in the puncture operation process; according to the quantitative scoring module, the multi-dimensional weighted scoring model takes the cortical ratio as a core evaluation index, and the scoring dimension corresponding to the cortical ratio has the highest weight in the model; the quantitative scoring module calculates a cortical ratio based on the acquired three-dimensional motion trail data, and outputs an operation quantitative score through a multi-dimensional weighted scoring model; and the closed-loop verification unit is used for acquiring a real puncture result on the simulation entity training die body and comparing the real puncture result with the puncture track subjected to virtual calculation so as to calibrate the operation quantitative score.

The invention discloses a portable sand barrier grid micro-topographic change measuring device which comprises a portable assembly. The portable assembly comprises four supporting plates and a plurality of measuring drill rods, the four supporting plates are horizontally arranged in the transverse direction, the four supporting plates are hinged through three sets of hinges, and a plurality of first threaded grooves are formed in the bottoms of the supporting plates; through the arrangement of the supporting plates and the drill rod measuring rods, the four supporting plates are hinged through hinges to form a foldable grid frame, the detachable scale drill rod measuring rods at the bottom are combined, accurate measurement of the surface elevation of the whole area in a sand barrier grid is achieved, and the scale values of the drill rod measuring rods directly reflect corrosion deposition thickness changes; the matching design of the first threaded groove and the first threaded column ensures that the measuring rod is vertical and stable, wind vibration errors are avoided, compared with manual point-by-point measurement, data of dozens of point positions in a grid can be obtained through single operation, efficiency is effectively improved, the data have strict spatial relevance, and high-resolution basic data are provided for analyzing the three-dimensional motion law of wind-sand flow.

This invention provides a non-contact method, device, equipment, and storage medium for measuring trunk respiratory parameters. It synchronously acquires three-dimensional motion data of optical reflective markers during respiration, with these markers positioned at multiple pre-defined anatomical landmark locations on the subject's trunk. Based on the three-dimensional motion data, it determines the volume change of the spatial envelope formed by the optical reflective markers. According to a pre-established mapping relationship between the volume change and tidal volume, it converts the volume change into tidal volume. Based on the signal of the volume change over time, it extracts the respiratory rate. Finally, it calculates the total respiratory volume based on the tidal volume and the respiratory rate. By combining optical motion capture with spatial geometric modeling, it achieves non-contact, continuous, and high-precision measurement of trunk respiratory motion, effectively overcoming the shortcomings of traditional methods, such as reliance on patient cooperation, invasiveness, expensive equipment, and complex operation.

The application belongs to the technical field of magnetic parameter measurement, and discloses a device and a calculation method for testing magnetic force in each direction between permanent magnets. The device uses an electric sliding table and a vertical sliding table to construct a three-dimensional motion platform, and collects the magnetic force of a tile-shaped permanent magnet under different spatial displacements in real time through a sensor. The device can not only meet the force testing needs of the inner / outer rotor permanent magnet under the axial, radial and tangential misalignment states, but also can adapt to different sizes of the inner / outer rotor permanent magnet by adjusting the clamp. Meanwhile, the magnetic force calculation method proposed by the application takes the equivalent magnetic charge model under the cylindrical coordinate system as the theoretical basis, and accurately solves the three-dimensional magnetic force of the inner / outer rotor permanent magnet under any spatial relative position through quadruple integration. With the help of the testing device and the calculation model proposed by the application, the precise measurement and theoretical verification of the magnetic force in each direction of the permanent magnet can be realized, the calculation is simple, and the degree of coincidence is high. The testing and calculation method has engineering universality and convenience.

The invention discloses GNSS (Global Navigation Satellite System) equipment monitoring data calibration experimental equipment and an evaluation method. Evaluation is carried out by taking stable state stability, data noise points, operation state response accuracy and response timeliness as indexes; comprising an experiment preparation and parameter calibration stage, a synchronous data collection stage and a data processing and performance evaluation stage, the coordinate position of GNSS equipment in a three-dimensional space is changed through a three-dimensional motion platform, the inclination angle of the GNSS equipment is changed through a posture adjusting mechanism, the shielding condition of the GNSS equipment is simulated through an environment simulation device, and the GNSS equipment is subjected to performance evaluation. And comparing and analyzing the actual state data and the GNSS resolving data of the GNSS equipment, and evaluating the performance of the GNSS equipment according to the indexes. According to the GNSS equipment performance testing method and device, stable-motion double-working-condition simulation can be achieved, the GNSS equipment performance testing scene in the shielding environment can be simulated, the actual application scene is better fitted, evaluation index dimensions are comprehensive, and a test reference basis is provided for data quality optimization in the actual application process.

This invention belongs to the field of medical signal processing technology, specifically a method and prediction system for constructing a three-dimensional tumor motion trajectory prediction model. It involves collecting temporal data of point clouds from the human chest and abdomen, as well as temporal location information of the tumor, and establishing a unified spatial coordinate system. The temporal data of the point clouds are divided into n time periods of total duration T1, and the temporal location information of the tumor is divided into n time periods of total duration T2, resulting in n training samples. The point clouds of the training samples are further divided into several pseudo-voxel sub-blocks according to the human projection plane, and K pseudo-voxel sub-blocks are selected based on motion saliency to obtain the temporal feature vector of the tumor motion. The temporal feature vector of the tumor three-dimensional motion trajectory prediction is used as input, and the corresponding tumor temporal location information is used as output to train an attention-enhanced dilated convolutional prediction network. This invention enables high-precision, non-invasive prediction of the three-dimensional tumor motion trajectory.

The invention discloses a three-dimensional glaze plotter and a control method thereof, and relates to a ceramic product surface decoration technology. The three-dimensional glaze extrusion assembly comprises a needle cylinder for accommodating three-dimensional glaze, a drawing needle head communicated with the needle cylinder, a pressure source for providing extrusion pressure for the needle cylinder, and a control valve for controlling the on-off of the extrusion pressure; the three-dimensional motion platform is mounted on the base assembly and used for bearing and driving the drawing needle head to move in a three-dimensional space; and the control panel is electrically connected with the control valve and the three-dimensional motion platform and used for controlling the moving track of the drawing needle head in the three-dimensional space and controlling the discharging action of the three-dimensional glaze extrusion assembly. The problems that lines are uneven, efficiency is low and complex patterns are difficult to reproduce during manual drawing of the three-dimensional glaze are solved, and automation and precision of drawing of the three-dimensional glaze are achieved.

The utility model discloses a rat and mouse gait fine behavior monitor which comprises a machine body, a runway for a small animal to pass through is arranged in the middle of the upper end face of a base body of the machine body, the runway is defined by a bottom plate and two transparent partition plates, the width between the partition plates is adjustable, and lead screw assemblies are installed above the two ends of the partition plates respectively. An image acquisition device and a processor connected with the image acquisition device are arranged below the bottom plate, side-view imaging mirrors with adjustable angles are arranged on the two sides of the runway, a turnover cover body provided with a light source assembly is arranged on the seat body, and an inlet and an outlet corresponding to the runway are formed in the two side surfaces of the cover body. By adopting a runway bottom imaging and side-view imaging mirror structure on two sides, the three-dimensional imaging system can synchronously capture right, left and bottom views of a moving object, realizes a three-dimensional imaging effect, can accurately reconstruct a three-dimensional motion track, eliminates a blind area caused by a single view angle, and ensures that the obtained motion track information is complete and accurate.

The application discloses a multi-wall surface operation path planning method and system for an underwater wall-climbing cleaning robot, and belongs to the technical field of special robots. The method comprises the following steps: constructing a three-dimensional motion model of the underwater wall-climbing cleaning robot according to a basic motion form of the underwater wall-climbing cleaning robot; performing stress analysis on the three-dimensional motion model to obtain an energy efficiency coefficient of the underwater wall-climbing cleaning robot; constructing an underwater three-dimensional multi-wall surface operation target model; establishing a target function with the purpose of minimizing the total energy consumption generated by the underwater wall-climbing cleaning robot during the motion process; obtaining the motion speed of the underwater robot; and solving the target function by using a simulated annealing algorithm according to the motion speed and the corresponding energy efficiency coefficient to obtain an optimal energy consumption operation path of the underwater wall-climbing cleaning robot. The method can improve the efficiency and accuracy of multi-wall surface operation path planning, and solves the problem that the existing technology has a method for evaluating the power consumption of an underwater robot which is too complex and not universal.