19results about How to "Solve misalignment" patented technology

The invention relates to the technical field of numerical simulation and data processing, in particular to slope stability multi-layer synchronous experiment equipment based on a splitting method and a control system. According to the invention, soil pressure transmission among different slippery mass strips is simulated through the multi-layer synchronous experimental equipment. Through the cooperation of the stress sensor matrix and the oil hydraulic cylinder matrix, the soil pressure of each sliding mass strip block can be transmitted to the next sliding mass strip block in real time, so that the evolution process of the soil pressure in the whole slope system is accurately simulated. The time sequence change of the soil pressure is recorded through the stress sensor, and mechanical modeling is carried out according to the data, so that the dynamic transmission of the soil pressure among different slippery mass strips is realized, and the defect that a soil pressure field is difficult to reproduce in a traditional experimental method is overcome; through the matrix positioning and loss compensation module, the problem of matrix position dislocation of the stress sensors and the oil hydraulic cylinders is solved, so that the positions of the stress sensors and the oil hydraulic cylinders of different sliding mass strip blocks in an experiment can be accurately aligned, and the precision of force field transmission is ensured.

The invention discloses a gear position self-learning method, system and equipment of a gear shifting mechanism and a medium, and relates to the technical field of computers.The gear shifting mechanism comprises a reduction gear, a threaded lead screw, a gear shifting fork and a dog-tooth clutch, the reduction gear drives the gear shifting fork through the threaded lead screw to achieve combination and separation of the dog-tooth clutch so as to conduct gear shifting, the method comprises the steps that under the condition that gear position information of a gear shifting mechanism is abnormal, whether the driving state of a target vehicle meets a preset self-learning condition or not is determined; if the self-learning condition is met, the current position of the threaded lead screw is obtained; locked-rotor detection is carried out on the gear shifting mechanism from the current position of the threaded screw rod, and the actual total stroke of the threaded screw rod in the locked-rotor detection process is obtained; if the stroke deviation between the actual total stroke and the preset theoretical total stroke is smaller than or equal to the preset error threshold value, the position information of the actual top dead center and the actual bottom dead center serves as the updated gear position to be stored.

The application discloses a CAD track turnout multi-stage intelligent linkage connection and adjustment method, comprising the following steps: S1, integrating structured parameters of various turnout types, generating a turnout basic parameter library, and generating an association mapping table recording the logical relationship between turnouts; S2, automatically calling the turnout basic parameter library, calculating the optimal turnout angle and endpoint coordinates, and automatically generating a connecting line; S3, when the position or angle of the reference turnout is adjusted, based on the association mapping table, the adjustment information is transmitted to all associated secondary turnouts, and the secondary turnouts and their connecting lines are driven to be synchronously adapted; S4, real-time collection of the adjusted data, combination of the turnout parameter threshold and the association mapping relationship, recalculation of the optimal connecting path, and generation of a new connecting line. The application can greatly shorten the time consumption of single-group turnout docking, solve the problems of line mispositioning and fracture, guarantee engineering safety, reduce the dependence on the experience of designers, greatly shorten the design cycle and reduce the rework rate.

This invention provides a heterogeneous feature fusion method for infrared thermal imaging data, comprising: acquiring and extracting features from a multi-source infrared thermal imaging dataset to obtain a multi-dimensional heterogeneous feature set; processing the multi-dimensional heterogeneous feature set based on a neural implicit field to obtain an implicit feature set and a dynamic fusion weight dataset; fusing the multi-dimensional heterogeneous feature set and the implicit feature set according to the dynamic fusion weight dataset; simultaneously using a physically constrained intelligent agent for correction and compensation; acquiring a primary temperature field and a fused implicit feature set; performing multi-scale decoding and radiation flux correction on the fused implicit feature set; performing smoothing correction in conjunction with the multi-dimensional heterogeneous feature set; acquiring a reconstructed fused image and a radiation flux correction field; performing inverse compensation on the reconstructed fused image based on the radiation flux correction field; obtaining a final temperature matrix; and performing temperature measurement uncertainty analysis in conjunction with the primary temperature field to obtain a temperature measurement confidence spectrum, thereby ensuring the absolute accuracy and reliability of the final temperature measurement result.

This utility model provides a steel strip butt welding machine, relating to the technical field of steel strip butt welding machines. The machine includes a butt welding machine with a welding head and a switch on its side. A fixing clamp is also provided on the side of the machine, positioned on both sides of the welding head. A locking element is rotatably connected to the bottom of the fixing clamp. A motor is fixedly connected inside the machine. A grinding wheel, driven by the motor, is also provided on the side of the machine. A pressing device and an alignment device are also provided on the side of the machine. The alignment device includes a rectangular frame fixedly connected to the side of the machine, with a threaded rod rotatably connected inside the rectangular frame. A slider is threadedly connected to the surface of the threaded rod, and a rectangular strip is fixedly connected to the side of the slider. This utility model solves the problem of steel strip misalignment during the butt welding process due to operator hand-held operation.

The utility model relates to the technical field of hollow glass production equipment, in particular to a hollow glass production laminating machine which comprises a base, a positioning mechanism, an adjusting mechanism, a clamping mechanism and a buffering mechanism. The positioning mechanism performs preliminary positioning and path guiding on glass through a limiting column, a guide rod and a fixed seat; the adjusting mechanism achieves horizontal and rotary adjustment through a sliding rail, a motor and a transmission assembly. The clamping mechanism utilizes a clamping arm and a suction cup to ensure stable clamping of the glass; the buffer mechanism absorbs impact force through a spring and a supporting rod and provides additional support. The clamping device can flexibly meet the requirements of glass lamination of different sizes and shapes, the clamping stability and the lamination precision are improved, vibration and collision damage are reduced, and the efficiency and the safety of hollow glass production are improved.

The present application provides an image stitching method, device, equipment, storage medium and product, the image stitching method comprises the following steps: fusing the shooting distance value between a plurality of shooting devices and the imaging target surface to generate the reference distance feature corresponding to each frame image; inputting the reference distance feature into a pre-trained stitching parameter prediction model to obtain the stitching parameter required for the current frame image stitching; based on the stitching parameter, the images collected by the plurality of shooting devices are initially stitched to form an initial panoramic image; the region of interest is set in the boundary region of the initial panoramic image, and the images in the region of interest are pre-adjusted; the pre-adjusted initial panoramic image is processed to obtain a final panoramic image. The method can fuse the distance between the shooting device and the imaging target surface in real time, and dynamically update the related stitching parameters according to the distance, combine the image features for fine fusion, and avoid the problems of stitching delay and obvious stitching effect fluctuation.

This invention discloses an intelligent control method for a power lithium battery thermal management system, relating to the field of lithium battery technology. The method includes the following steps: collecting operating data of the power lithium battery through a multi-physics field real-time sensing system; performing dynamic thermodynamic modeling and anomaly detection on the operating data based on a digital twin model and an AI large-scale model to generate a real-time control strategy; employing a hierarchical control strategy to perform precise control of the thermal management system, including temperature difference control, condensation quality hierarchical control, and travel condition prediction control; optimizing the control strategy through a vehicle-cloud collaborative computing architecture; and dynamically updating thermal management parameters and fault diagnosis thresholds based on the control results. This invention solves the problems of low control accuracy, high condensation risk, and insufficient energy efficiency optimization in traditional thermal management systems due to their single control strategy and lag response, through multi-physics field sensing, digital twin and AI fusion modeling, hierarchical control, and vehicle-cloud collaboration.

The invention relates to a dynamic radar map real-time feedback motion sensing game space position offset system, and belongs to the technical field of motion sensing game man-machine interaction. The system comprises a gait detection and mapping unit, a displacement estimation and radar scaling unit, a mobile phone orientation determination and coordinate system establishment unit and a system construction and conversion unit. Step-stepping actions of walking of the player are recognized, and steps are mapped into game radar fixed displacement units; on the basis of the previous result, non-walking movement displacement is estimated by fusing sensor data and is scaled to radar coordinates; integrating the data of the gyroscope and the magnetometer to determine the orientation of the mobile phone so as to establish a unified coordinate system; and constructing a relative displacement system, recording a zero reference and converting physical displacement into radar pixel displacement. The effects that complex external hardware is not needed, walking and non-walking actions are accurately matched, and physical-virtual space coordinates are unified are achieved, the problems of positioning deviation and feedback dislocation in the prior art are solved, and the real-time performance and immersion of a motion sensing game are improved.

The invention relates to the technical field of vehicle control, in particular to a mixed-order Koopman tensor decomposition and CBF fused vehicle limit control method. And acquiring the motion state of the target vehicle, and estimating the motion state of the target vehicle at the next moment. And determining each tire force of the target vehicle based on the motion state of the next moment. And determining a state vector of the target vehicle according to the motion state of the next moment and each tire force of the target vehicle, and defining a control input vector. And based on the state vector and the control input vector, constructing a first-order linear Koopman model, a second-order bilinear Koopman model and a third-order high-order Koopman model. And determining and determining the weight of each Koopman model according to the working condition severity comprehensive index of the target vehicle. And calculating a prediction result of each Koopman model, and determining a fusion prediction result according to the weight of each Koopman model. And constructing a nominal controller based on the affine form of the fusion prediction result. And solving the nominal controller, and determining a control input vector at the current moment so as to control the target vehicle.

The utility model discloses a compound seeding machine relates to seeding machine technical field, including base, power, power installation is used for providing electric power on base, the top one side of base is equipped with first sliding slot, second sliding slot, the same sliding frame is equipped in the sliding of first sliding slot and second sliding slot, be equipped with the drive mechanism of drive sliding frame movement between first sliding slot and second sliding slot on base, the lower end of first sliding slot is connected with punching mechanism to sliding frame, the lower end of second sliding slot is connected with seeding mechanism to sliding frame, the both sides of base are all pivotally connected with the wheel. The utility model discloses through the lateral movement accurate coordination of sliding frame punch and sowing position, combines automatic punching, ration seeding and the continuous operation of soil leveling, effectively solved the traditional seeding machine alignment error problem, significantly improved the operation accuracy, cooperativity and efficiency.

The invention provides an EEG signal feature extraction method and system, a storage medium and a terminal. The method comprises the following steps: preprocessing an EEG signal; constructing a multi-scale reference window and a multi-scale test window, and calculating a multi-scale spectrum structure change score of the preprocessed EEG signal; detecting candidate segment boundary points of the preprocessed EEG signal based on the multi-scale spectrum structure change score; on the basis of the candidate segmentation boundary points, EEG adaptive segmentation is obtained; performing Hermite function decomposition on the EEG signal in the EEG adaptive segment to obtain EEG segment level features; and constructing an EEG feature vector based on the EEG segment-level features and the EEG global statistics. According to the EEG signal feature extraction method and system, the storage medium and the terminal, EEG signal features with the characteristics of high event sensitivity, high adaptive ability, excellent stability and the like can be extracted.

The invention discloses a natural gas pipeline cleanliness degree evaluation method and device, equipment and a medium, and relates to the technical field of natural gas pipeline monitoring, and the method comprises the steps: constructing a full-working-condition simulation database of a natural gas pipeline; generating a data-driven flow-roughness response model based on the pressure feature spatial index; performing pressure feature matching and roughness inversion on the actual pressure and the actual flow by using the flow-roughness response model; the roughness serves as an absolute index, a performance index is determined based on the planned flow and the actual flow, an economic index is determined based on the actual flow and the theoretical flow, the absolute index, the performance index and the economic index are input into a three-dimensional pipeline cleanliness evaluation system, and a comprehensive cleanliness degree score is calculated based on an evaluation method; the method is advantaged in that problems of strong physical model dependence, model misalignment, low calculation efficiency and poor multi-condition adaptability are solved, and reliability, accuracy and timeliness of natural gas pipeline cleanliness evaluation are improved.

The utility model relates to the technical field of water seal well, concretely is a kind of safe liquid seal device for sewage pipe network, including shell assembly, the inside one side bottom end of shell assembly is connected with the one end of connecting rod, improved safe liquid seal device for sewage pipe network, by the cooperation of screw knob, limit block and sealing plate, make the safe liquid seal device for sewage pipe network during use, realize the quick installation of the water seal well inlet pipe for sewage pipe network, greatly improve the convenience of inlet pipe during installation, to reduce the labor intensity of staff when installing inlet pipe, using the cooperation of connecting rod and arc snap ring, make the safe liquid seal device for sewage pipe network during use, realize the position of inlet pipe is limited and fixed, solve the problem that misplacement or inclination appears after long time use of inlet pipe, to greatly improve the stability of inlet pipe during use, improve the liquid seal effect of sewage pipe network, to meet the demand of safe liquid seal device for sewage pipe network.

This invention discloses an adaptive calibration and physically guided multimodal data fusion perception method and system, belonging to the fields of computer vision and autonomous driving technology. Addressing the core problems of projection misalignment caused by long-term sensor extrinsic parameter drift in existing BEV perception systems, and target detection lag in high-speed dynamic scenarios, this invention constructs a perception framework comprising four modules: multi-view image feature projection transformation, LiDAR point cloud feature encoding, multi-sensor online adaptive calibration based on BEV consistency, and physically prior-driven cross-modal deformable Transformer fusion. A closed-loop feedback mechanism is formed through perception and calibration, and sensor extrinsic parameters are corrected in real time by combining visual reprojection, IMU pre-integration, and BEV feature alignment constraints to eliminate projection ghosting. A vehicle kinematics prior is introduced to construct a dynamic query, driving the attention sampling points to adaptively shift along the target motion trajectory, thus solving the detection lag problem.

This invention discloses a deep learning-based intelligent interference management system for wireless communication networks, belonging to the field of communication network management technology. By processing and fusing multipath, mobility, and environmental factors, it can solve the problem of inaccurate channel state information caused by traditional models ignoring non-stationary interference. The constructed sequence simultaneously captures temporal trends and spatial cooperation, providing high-quality input for subsequent adaptive models. Through meta-learning pre-training to obtain cross-scenario general parameters, online fine-tuning achieves millisecond-level adaptation to dynamic channels, and finally outputs accurate interference prediction, which can significantly improve the model's adaptability to complex channels and the real-time performance of interference estimation, providing key support for the anti-disturbance capability of trajectory control. Through the synergistic cooperation of the above steps, the pre-training stage lays the foundation for cross-scenario generalization, the online fine-tuning stage quickly adapts to new scenarios, and the interference prediction stage outputs key compensation information, forming a closed-loop logic of pre-training, fine-tuning, and prediction.

This invention relates to the field of PCB manufacturing technology, specifically to an orthogonal backplane manufacturing method and apparatus. By acquiring the expansion and contraction data of the sub-board and matching and pressing it accordingly, and combining this with printing copper paste at the connection holes to form a connection structure, this invention effectively solves the problem of interlayer alignment deviation in traditional methods. It not only improves the interlayer alignment accuracy and reduces the deviation caused by the accumulation of expansion and contraction, but also improves the backplane manufacturing yield and signal transmission performance.

This invention discloses a method and device for displaying electronic landmarks on railway passenger platforms. The method involves first capturing dynamic images of the guidance screens in real time using high-definition cameras on the platform. Then, a control module extracts the train number from the guidance screen and pre-displays the corresponding train number, carriage number, and carriage direction on each electronic landmark display screen. During train entry and after stopping, multi-line lidar scans the train's side point cloud data in real time and sends it to the control module. The control module calculates the stopping position offset and the actual length of each carriage. Finally, the control module calculates the index range of the electronic landmark display screen corresponding to each carriage, thereby updating the carriage number displayed on each electronic landmark display screen. This invention can dynamically and accurately adjust the carriage number displayed on the electronic landmark display screens according to the real-time stopping position of the train, facilitating orderly passenger boarding and maintaining good order on the platform.

The utility model relates to the technical field of manufacturing of corneal contact lenses, in particular to a corneal contact lens base material forming mold which comprises a base, a mold body, a base material pressing plate, a base material pressing plate, a base material pressing plate, a base material pressing plate, a base material pressing plate and a base material pressing plate. The traction hole is used for matched positioning; the forming seat and the material taking seat are both arranged above the mold, forming bosses and traction rods used for being matched with the traction holes to achieve positioning are arranged at the bottoms of the forming seat and the material taking seat, and negative pressure holes used for sucking formed base materials through negative pressure are formed in the surfaces of the forming bosses located at the bottom of the material taking seat; by arranging the mold, the forming base, the material taking base, the corresponding positioning mechanism, the corresponding pressing mechanism and the corresponding heating mechanism, the automatic forming and demolding process of the corneal contact lens base material is achieved.