13results about How to "Eliminate jumping" patented technology

This invention relates to the field of seismic data processing technology, and discloses a method, apparatus, and device for smoothing seismic data. The method includes: acquiring seismic data to be processed; constructing an objective function based on the seismic data to be processed and the smoothed seismic data; and solving the objective function using an alternating multiplier algorithm to obtain the smoothed seismic data corresponding to the seismic data to be processed. The seismic data smoothing method disclosed in this application can eliminate abrupt changes in the drastically changing parts of the seismic data while maintaining the relatively stable parts, effectively ensuring the controllability of the seismic data smoothing result.

The invention relates to the technical field of intelligent weather forecast, in particular to a rainfall multi-source seamless fusion method and device based on dynamic error perception, electronic equipment and a storage medium, and the method comprises the steps: dynamically sensing the influence of a weather situation on a multi-source data error through a task-driven VQ-VAE model, adaptively optimizing a fusion weight, and improving the fusion precision; spatial optimal interpolation is realized in combination with a dynamic collaborative Kriging framework, continuous transition of an analysis field and a forecasting field in time and space is ensured by using a time-varying weight fusion technology, and a product jumping phenomenon is eliminated; the adopted semi-supervised mechanism maintains the physical interpretability of the model while reducing the dependence on the labeled data; and finally, through terrain constraint and independent site deviation correction, the product has both physical rationality and quantitative precision, and a reliable data basis is provided for meteorological and hydrological services.

The utility model provides a spiral pipe to seamless pipe device which comprises two semicircular pipe sleeves which are symmetrically arranged, the semicircular pipe sleeves are seamless steel pipes, a plurality of fixing blocks are evenly arranged on the inner walls of the semicircular pipe sleeves at intervals in the circumferential direction, and tightening pieces are arranged at the ends of the semicircular pipe sleeves. The tightening piece is used for detachably connecting and fastening the two semicircular pipe sleeves; the method has the characteristics of improving the welding quality and improving the welding efficiency.

The invention discloses a multi-state node conversion method and system based on a block chain, and relates to the technical field of node conversion, and the method comprises the following steps: constructing a node steady state recognition model, continuously monitoring a trigger condition generated in a node operation process, calculating a change slope of the trigger condition, and calculating a node steady state recognition model; comparing the change slope with the threshold difference of the previous moment, and outputting the current transient confidence result of the node; and establishing an adaptive filtering window based on a transient confidence result, dynamically adjusting a boundary in the adaptive filtering window, weakening a low-confidence trigger signal, and only outputting an effective trigger signal subjected to boundary screening. According to the invention, through a steady state identification and dynamic filtering mechanism, the accuracy and anti-jitter capability of node state judgment are improved; and in combination with aggregation buffering, load prediction and probability convergence control, high-credibility execution of state switching and resource controllability are realized, and the stability, intelligence and traceability of node management are enhanced.

The utility model discloses a compressor valve piece polishing device, including base, the upper end right side fixed mounting of base has the vertical board, the right -hand end fixed mounting of vertical board has first electric jar, the output of first electric jar swing joint has grinding wheel, the upper end left side fixed mounting of base has L shape frame, the right -hand end downside fixed mounting of L shape frame has fixed plate, the upper end of fixed plate is swing joint with carousel through the pivot, aims at solving the problem of polishing uneven. Its technical scheme main point is: a compressor valve piece polishing device. The utility model utilizes the arc -shaped groove structure that has on valve piece, is realized to valve piece circumferential position angle's accurate locking through adjustable arc -shaped positioning insert block and cooperation, and the positioning column of cooperation center carries out radial positioning, and the common action of both, has guaranteed that the position of valve piece is completely consistent each time clamping, has solved the problem of partial over -grinding or under -grinding because of the jumping thoroughly, has improved the uniformity of polishing significantly.

The application discloses a numerical control machining method for crankshaft main journal based on a follow-up grinding machine, which comprises the following steps: 1) supporting the second, fourth, sixth and eighth grades of the main journal on a center frame; 2) rough grinding the crankshaft main journal; 3) rough grinding the first, third, fifth, seventh and ninth grades of the main journal; 4) detecting the run-out of the first, third, fifth, seventh and ninth grades of the main journal; 5) correcting the run-out of the main journal; 6) moving the center frame to the first, third, fifth, seventh and ninth grades of the main journal; 7) rough grinding the second, fourth, sixth and eighth grades of the main journal; 8) fine grinding the first, third, fifth, seventh and ninth grades of the main journal; and 9) fine grinding the second, fourth, sixth and eighth grades of the main journal. The application can solve the problem of the run-out of the crankshaft main journal machined by the follow-up grinding machine and improve the machining quality of the crankshaft main journal.

This invention discloses an adaptive wellbore correction method based on a wellbore response database, belonging to the field of geophysical logging technology. This adaptive wellbore correction method, based on a wellbore response database, is applied to actual logging data from the small-diameter array induction logging instrument HACRT. For wellbore impacts with intrusion, a wellbore correction model with intrusion is introduced. The intrusion impact is calculated using geometric factors, and the wellbore response is calculated using the wellbore response database to obtain a logging response estimate. This invention solves problems such as skin effect correction of the wellbore model response signal, inconsistency between the wellbore model and the actual logging environment, and multiple solutions in wellbore model parameter inversion. It considers engineering problems in actual logging data processing and is adaptable to harsh well conditions such as larger well diameters and low-resistivity salt-cement slurries.

The application belongs to the technical field of manipulators, and discloses a feeding and discharging manipulator for wind power generator accessories and a working method thereof, wherein the manipulator comprises a five-axis mechanical arm, the end of the five-axis mechanical arm is fixedly provided with an upper loading plate, a middle loading plate is arranged below the upper loading plate, a plurality of elastic connecting columns are connected between the upper loading plate and the middle loading plate, a position detection mechanism is arranged on the outer wall of the upper loading plate and the middle loading plate, a bottom loading plate is arranged below the middle loading plate, and a rotary shifting structure for driving the bottom loading plate to rotate horizontally is arranged at the bottom end of the middle loading plate; a double-shaft holding mechanism for synchronously clamping or releasing two shaft pieces in the radial direction is arranged on the bottom surface of the bottom loading plate, shaft end vertical pressing structures are arranged at both sides of the inside of the bottom loading plate, and the shaft end vertical pressing structures are used for applying vertical pressing force to the two end positions of the shaft piece after the shaft piece is in place; the application cooperatively designs vertical active pressing and radial clamping operation, realizes rigid limiting of the shaft piece, and improves the limiting effect.

The application discloses a dual-antenna data fusion unmanned aerial vehicle heading measurement precision optimization method, and belongs to the technical field of unmanned aerial vehicle navigation and positioning, and comprises the following steps: acquiring a multi-source observation data set, constructing a time delay perception heading estimation model, synchronously estimating a heading angle state, a heading angle change rate and a time delay parameter, and performing time delay compensation and satellite observation quantity dynamic weighted fusion, and outputting a high-precision heading angle estimation value and a joint estimation covariance matrix; combining a dynamic working condition adaptation coefficient, a satellite azimuth angle and an elevation angle to evaluate heading solution precision, constructing a multi-condition joint constraint dynamic selection optimal subset, if satellite signal short-term failure or configuration effect does not reach the standard, combining an IMU angular velocity to perform short-time heading deduction; constructing an adaptive adjustment mechanism and a heading error feedback function, dynamically optimizing error feedback weight and returning real-time error compensation quantity, dynamically adjusting fusion weight and time-varying time delay estimation range, and improving the heading solution precision, continuity and robustness of the unmanned aerial vehicle in a complex environment.

This invention relates to the field of marine observation and satellite navigation positioning technology, and includes the following steps: S1, multi-source data acquisition and time synchronization; S2, buoy boom effect compensation and GNSS preprocessing; S3, marine environmental feature extraction and encoding; S4, deep learning-based covariance process noise prediction; S5, Lyapunov covariance dynamics propagation and spectral constraint smoothing; S6, adaptive extended Kalman filter positioning; S7, tidal and wave parameter extraction and early warning output. This invention utilizes a diagonalized transfer matrix structure to transform recursion into a parallel convolutional form, supporting fast Fourier transform to accelerate computation and meeting the real-time inference requirements of the buoy-embedded processor. It constructs an integrated processing link from raw multi-source data acquisition to high-precision positioning, marine parameter extraction, and disaster early warning, providing reliable data support for marine environmental monitoring and emergency response.

This application discloses a method and system for tracking cigarette product production information, relating to the field of tobacco technology. The method implements unique identification for each level of cigarette product through predefined coding rules; industrial IoT devices continuously collect the timestamps, status identifiers, and location coordinates corresponding to the codes to form a raw data stream; a stream processing engine based on Apache Flink performs real-time grouping, time-series alignment, and state merging on the raw data stream, outputting a structured event sequence; a graph database transforms the event sequence into a multi-dimensional relationship graph of coded nodes and process nodes, constructing a semantically complete full-process topology structure; a dynamic programming algorithm traverses the graph, extracting the complete flow path of any code according to the time sequence to generate a production trajectory chain; finally, a force-directed graph layout algorithm spatially rearranges the nodes and edges in the trajectory chain, achieving a natural balance in node distribution through physical simulation, and outputting an interactive visual graphic.

The application discloses a hose winding control method and system, medium and product, and belongs to the field of hose winding control. The method is as follows: acquiring an on-site image containing a hose and inputting the image into a preset LDAE-Net neural network model, performing multi-round direction perception spatial downsampling and direction feature enhancement to obtain direction enhanced features; performing grid classification prediction based on the direction enhanced features, outputting a grid classification probability distribution representing the spatial position of the hose; performing index decoding on the probability distribution to generate a discrete coordinate sequence of the hose path; calculating the pose deviation of the hose winding machine chassis relative to the hose based on the discrete coordinate sequence, and generating a control instruction to drive the hose winding machine to complete winding. Through the implementation of the application, the problem of low path recognition accuracy and easy loss of direction features of the slender flexible hose under complex working conditions in the prior art can be solved.

This invention relates to the field of optical module communication technology and discloses an adaptive power-on control method for a thermoelectric cooler within an optical module. This method solves the problems of slow startup speed, inability to adjust in real time, and limited control dimensions during power-on control of the thermoelectric cooler. The invention provides optimal parameters for different operating conditions using a two-dimensional lookup table and achieves continuous adaptation through interpolation. This allows for the fastest startup under the most common operating conditions of normal temperature and normal temperature difference by calling proactive parameters. Through a combination of real-time operating condition sensing and dynamic parameter adjustment, the current ambient temperature and target temperature difference are sensed in real time as control inputs. During execution, the step parameters are dynamically fine-tuned based on the rate of temperature change, enabling the control behavior to match the actual thermodynamic load in real time. Through a model that jointly decides on ambient temperature and instantaneous temperature difference, different combinations of thermal challenges can be finely distinguished and responded to, overcoming the shortcomings of single temperature difference control or fixed-sequence control in handling complex operating conditions.