33 results about "Line matching" patented technology

The invention discloses a terminal strip drawing terminal identification and cable connecting line matching method and system, and the method comprises the steps: obtaining the layer, geometric shape, text and other information of a terminal strip CAD graph, and extracting the needed line segment and text; training a target detection model, identifying a terminal strip area in the terminal strip drawing, and cutting out a sub-graph; adopting a sliding window method to cut the terminal row into a plurality of sub-graphs with a certain overlapping area; labeling table cells in the sub-graphs, making a data set, and training an RT-DETR model; inputting the sub-graph into the trained RT-DETR model for prediction, outputting cell coordinate information in the sub-graph, and restoring the cell coordinate information to the original graph; all cable connecting lines connected with the terminal strip area are calculated, and the cells representing the terminals are matched with the cable connecting lines according to the geometrical relationship. According to the invention, the matching relation between the terminal and the cable connecting line can be effectively detected, the structured data can be automatically generated, and rapid extraction and analysis of drawing information can be realized.

A processor, computer system, and method for hierarchical cache flush. The processor includes a first core and a last level cache. The first core includes a decoder, a memory order buffer, and a first core internal cache. The decoder, in response to an instruction of an instruction set architecture specifying a key identification code and an address for a hierarchical cache flush, generates at least one microinstruction. According to the at least one microinstruction, a flush request with the specified key identification code and the specified address is supplied through the memory order buffer to the first core internal cache, and then from the first core internal cache to the last level cache, so that the last level cache flushes a matching cache line matching the specified key identification code and the specified address.

The invention discloses a flexible automatic assembly line system adaptive to multiple specifications, and relates to the technical field of flexible automatic assembly lines, the flexible automatic assembly line system comprises a main conveying belt and an auxiliary frame, the two sides of the main conveying belt are each provided with a connecting frame, the top of each connecting frame is provided with a top plate, and the top plate is internally provided with a visual detection module used for intelligent identification. According to the flexible automatic assembly line system adaptive to multiple specifications, a scanning result can be transmitted to the information acquisition module, acquisition and local storage can be performed by using the information acquisition module, information backup processing is realized, and then information comparison is performed through the recorded information comparison module; and then the corresponding assembly line module can be obtained by utilizing the assembly line matching module through comparison, the obtained scheme information is finally transmitted to the control module, automatic control can be realized by utilizing the design of a controller in the control module, and different assembly lines can be customized according to the requirements of the intelligently identified flexible assembly parts with different specifications.

The embodiment of the application provides a shield tunneling machine cutter head water jet cleaning test method and a shield tunneling machine, wherein, in the method, the Hungarian distribution algorithm performs line comparison, cross-line matching and minimum cost relationship establishment on a time matrix, so that a clear minimum time correlation is formed between nozzles and sub-areas, and a calculable balanced relationship of cleaning load is formed among multiple nozzles; the particle swarm optimization algorithm is used to perform fine adjustment of nozzle mounting points, so that nozzle coordinates can be continuously updated within a search range after displacement in a fixed direction; the position of a group of particles is iterated to find a higher reachability of a jet posture under distance and angle conditions, so that the spatial relationship between nozzle pointing, action area normal vector and cutter head structure is updated in multiple rounds, higher coverage matching accuracy is obtained, the nozzle start time and the time amount of the assigned sub-area are formed into a unified time axis and are aligned with a rotation reference, the nozzle start-stop behavior and the cutter head position form a continuous and recordable cleaning structure.

The application discloses a power pole inclination detection and early warning method and related equipment, first, the power pole image is collected by a shooting device and corrected, and then the corrected image is input into a power pole image segmentation model composed of a multi-layer channel feature extraction network MCFNet, a hollow convolution bar pooling module DCSP and a channel attention module CE. MCFNet extracts semantic information from channels layer by layer, reduces calculation parameters and improves efficiency; DCSP uses hollow convolution and bar pooling to expand the receptive field and improve the shape feature recognition effect of the power pole; CE suppresses redundant channel information and highlights effective features. The model can cope with complex environments and overcome the low precision of existing models. Then, the polar line matching algorithm is used to calculate the left and right side edge disparity of the power pole, a three-dimensional point cloud is constructed, and the inclination angle calculation precision is improved. Once the inclination angle exceeds the preset threshold, a warning is sent within a few seconds, the safe operation of the power transmission tower is ensured, and the accident probability is reduced.

According to embodiments of the present disclosure, methods, apparatuses, devices and media for lane line fusion are provided. The method includes obtaining first lane line information associated with a first sensor and second lane line information associated with a second sensor; determining first matching information between a first set of lane lines indicated by the first lane line information and a set of reference lane lines indicated by reference lane line information; determining second matching information between a second set of lane lines indicated by the second lane line information and the set of reference lane lines indicated by the reference lane line information; and fusing the first lane line information and the second lane line information based on the first matching information and the second matching information. Thereby, the success rate of lane line matching can be improved in special road sections and lane line mis-detection, and the accuracy and robustness of lane line matching in all scenarios can be improved.

The invention relates to a four-layer monolithic three-dimensional integrated computing device and a control method thereof.The four-layer monolithic three-dimensional integrated computing device sequentially comprises a logic control layer, a resistive memory computing layer, a near memory data processing layer and a near-end cache preprocessing layer from bottom to top, and the logic control layer is responsible for generating an access control signal and a data scheduling strategy and driving the resistive memory computing layer to operate; the resistive random access memory computing layer executes dictionary table lookup based on the received table lookup task, or obtains a multi-line matching result through a parallel comparison strategy in a preset matching scene; the near storage data processing layer stipulates and combines multiple rows of matching results, and outputs stipulated matching results; the near-end cache preprocessing layer stores the protocol result, and completes data rearrangement, packaging and preprocessing of the to-be-processed data according to the received scheduling instruction, so that the problems of high dictionary table lookup delay, high energy consumption, relatively low vector retrieval bandwidth, slow response and the like in related technologies are solved; delay and energy consumption of dictionary table lookup are reduced, and vector retrieval bandwidth, response speed and energy efficiency ratio are improved.

The application discloses a visual positioning method and device, a storage medium and an electronic device, and relates to the technical field of information. The method comprises the following steps: acquiring a current frame image and a previous frame image corresponding to the current frame image; extracting feature points and feature lines corresponding to the previous frame image and feature points and feature lines corresponding to the current frame image, and performing feature point matching and feature line matching on the previous frame image and the current frame image to obtain a feature point matching pair and a feature line matching pair; constructing a point reprojection error and a line reprojection error between the previous frame image and the current frame image based on the feature point matching pair and the feature line matching pair; constructing a target optimization function according to the point reprojection error and the line reprojection error, and solving a relative pose between the current frame image and the previous frame image; and performing visual positioning on a target object according to the relative pose. The application can overcome the limitation of feature point extraction in a weak texture environment, thereby improving the accuracy and robustness of visual positioning.

The invention provides an interactive motion capture and personalized work generation method for virtual reality, and belongs to the technical field of interactive capture and generation, and the method comprises the steps: carrying out the mining of user demands, and obtaining a demand line set, matching a coarse scene matched with each demand line and a fine scene matched with each demand anchor point in each demand line from a scene building database, and carrying out scene building on all the coarse scenes and the fine scenes to obtain a virtual reality scene; in the virtual reality scene, a response interaction matrix of the user responding to each preset output is captured, the response interaction matrix and a preset interaction matrix are analyzed, meanwhile, a self-defined interaction matrix of the user in a non-preset output stage is captured, and the self-defined interaction matrix and an analysis result are subjected to complementary processing to obtain key design features of different demand lines; and carrying out supplementary processing on the key design features to generate personalized works and outputting the personalized works. And the core pain point of disjunction of art creativity and technology realization in digital media art VR creation is solved integrally.

The application relates to a space non-cooperative target position and posture measurement method based on binocular event flow. The method comprises the following steps: building a binocular event camera according to the left-right fixed connection installation of two event cameras; photographing a target in motion by using the binocular event camera; projecting the left and right event flows collected in a fixed time interval into a three-dimensional space; reconstructing a target three-dimensional straight line according to a straight line; obtaining a projection straight line according to a pre-set projection relationship; matching events in the left and right event flows with the projection straight line according to the nearest neighbor principle; calculating the distance from the left and right event flows of the binocular event camera to the corresponding projection straight line according to the event-straight line matching result; and solving the space non-cooperative target position and posture by minimizing the distance through a nonlinear optimization algorithm. The method can adapt to the space non-cooperative target position and posture measurement in a complex space environment.

The invention discloses a machine vision board line distinguishing and edge banding machine ink-jet printing system. A visual collection unit collects board lines, a data processing unit extracts multi-dimensional texture features and generates dynamic edge banding patterns and two-dimensional codes, an edge banding execution unit carries out edge banding through a white edge banding belt, and an ink-jet printing unit carries out printing after scanning the codes. The system solves the problems that the edge band lines are not unified with the plates and personalized customization is limited, achieves accurate line matching, reduces edge band reserve and is suitable for processing of high-grade plate furniture.

The application provides a vortex reconstruction and tracking method, aiming at the defects of the traditional vortex reconstruction method in three-dimensional sampling, pseudo matching suppression and the like, the application effectively matches vortex axes in three-dimensional directions, takes into account the three-dimensional sampling effect, and has a better reconstruction effect on isotropic vortices; meanwhile, by using the constraint characteristics of the vector direction of Liutex, physical constraint conditions during matching are set, the phenomenon of pseudo vortex axis point matching is effectively reduced; by using a graph neural network and reinforcement learning, vortex axis matching is optimized, three-dimensional reconstruction precision is improved, and pseudo matching is suppressed by global topological constraints; by extracting vortex axis points with dominant absolute rotation intensity, changes in the structure of a single vortex when evolving over time in a flow field are intuitively observed.

The application discloses a K-nearest neighbor power line identification method using comprehensive features, which comprises the following steps: inputting radar target echo to signal detection to obtain strong scattering points, correlating multiple frames of data to obtain a pitch-distance two-dimensional graph and an X-Y two-dimensional graph, identifying a power tower to obtain a power tower position, obtaining power line straight lines of a tower topology, detecting the power line straight lines, extracting power line features, obtaining power line straight line feature vector samples and noise straight line feature vector samples, identifying unknown straight line feature vectors according to an expert knowledge base, and obtaining a power line identification result. The application is based on power line Bragg scattering echo peaks, combined with closely related power tower target identification, extracts comprehensive features, performs power line matching on the power line straight lines obtained through straight line detection and the power line straight lines obtained through the tower topology, and realizes accurate identification of the power line based on a K-nearest neighbor algorithm, so that the correct identification probability is high, the target identification range is wide, and the self-adaptation capability is strong.

The application relates to the technical field of automatic driving, and discloses a lane line matching method and device, which comprises the following steps: identifying lane lines in a video picture, adopting a polynomial curve to represent the lane lines to be matched, and obtaining lane line equations; predicting the similarity between any two lane lines based on the lane line equations; constructing a matching cost function according to the similarity; obtaining a matching cost matrix of the lane lines to be matched through the matching cost function; solving the matching cost matrix to obtain two optimally matched lane lines; and judging whether the two optimally matched lane lines satisfy preset conditions, and matching the two lane lines satisfying the preset conditions as the same lane line at different time points or in different spaces. The application has small calculation amount, faster matching speed, can be used for matching the observation of the same lane line at different time points and in different spaces, has a larger application range, and achieves a simpler effect.

The application provides a multi-sensor data fusion positioning system. The multi-sensor data fusion positioning system comprises a combined positioning subunit, a two-dimensional state error Kalman filtering unit, a laser radar point cloud matching positioning unit and a three-dimensional state error Kalman filtering unit. The combined positioning subunit comprises a GNSS module, an RTK service module and an IMU module. The two-dimensional state error Kalman filtering unit comprises a high-precision map module, a visual lane line detection module, a lane line matching module, a wheel speed odometer calculation module and a first state error Kalman filtering module. The laser radar point cloud matching positioning unit comprises a point cloud module, a point cloud map module, a positioning initialization module and an NDT matching positioning module. The three-dimensional state error Kalman filtering unit comprises a Kalman filtering initialization module, an IMU pose state quantity calculation module, a judgment module, a second state error Kalman filtering module and a posteriori pose module. The multi-sensor data fusion positioning system can enhance the robustness of global positioning and has strong scene adaptability.

The application discloses a lane line matching method based on deep learning, which comprises the following steps: obtaining historical trajectory data of a target vehicle and historical trajectory data of environment vehicles; obtaining all historical lane line information corresponding to the historical trajectory data of the target vehicle based on the historical trajectory data of the target vehicle; aligning each continuous historical lane line information with the historical trajectory data of each vehicle through coding, and then merging to obtain a sample vector; inputting the sample vector into a constructed deep learning network, training and adjusting the deep learning network, so that the deep learning network outputs a similarity calculation result of each historical lane line information and the historical trajectory data of the target vehicle; when actual lane line matching is performed: obtaining an actual vector based on actual trajectory data of the target vehicle, actual trajectory data of the environment vehicles and actual lane line information after coding; the deep learning network outputs a similarity calculation result based on the input actual vector.

The invention provides a rapid mold generation method based on large model data application. The method comprises the following steps: acquiring engineering data information of a to-be-generated mold, matching the engineering data information with mold product instances in a database, if matching succeeds, outputting the successfully matched mold product instances, and if matching fails, executing the following steps: extracting a DL line from DL data of the to-be-generated mold; identifying a reference line matched with the DL line from the reference line sample set; obtaining a reference coordinate position of a part associated with the matched reference line in the to-be-generated mold; and calling a virtual model of the matched part associated with the reference line from the database, and placing the virtual model according to the reference coordinate position. The production speed and efficiency of the mold are improved, and the mold design time is further saved.

Embodiments of the present application provide a SQL statement conversion method, device and equipment, relating to the technical field of big data, to improve the reliability of a target SQL statement and thus improve the accuracy of a target calculation result. The method comprises: converting a source SQL statement into an initial target SQL statement, obtaining a source calculation result obtained by calculating a data source using the source SQL statement on a source calculation engine, and obtaining an initial target calculation result obtained by calculating the data source using the initial target SQL statement on a target calculation engine; performing line matching and field matching on the source calculation result and the initial target calculation result to obtain a target matching value and a difference report between the source calculation result and the initial target calculation result, and determining a detection result of the initial target SQL statement based on the target matching value and a first matching threshold; and when the detection result indicates that the initial target SQL statement fails to pass the detection, generating a new target SQL statement based on the difference report, the source SQL statement and the initial target SQL statement.

The application relates to a water pipe specification marking automatic matching method based on CAD drawing comparison, which comprises the following steps: acquiring drawing information, dividing line segments in an isometric drawing horizontal edge line layer into isometric drawing vertical pipes and isometric drawing horizontal pipes according to angles, taking lines in a plan drawing horizontal edge line layer as plan drawing horizontal pipes, taking circles in a vertical pipe edge line layer as plan drawing vertical pipes, classifying the horizontal pipes to obtain main pipes and branch pipes, matching the main pipes based on base points and pipeline connection conditions of the main pipes, matching the branch pipes based on the number of the branch pipes on the main pipes, the included angle between the branch pipes and the main pipes and the length proportion of the branch pipes on the main pipes, matching the vertical pipes based on the matching results of the horizontal pipes, and assigning marking information on the isometric drawing matched successfully to corresponding pipelines in the plan drawing. Through the application, the problem of low efficiency of manual matching of water pipe specification marking is solved, and pipeline matching and marking assignment are automatically completed through features such as layers, base points, angles and connection relationships.

1. The name of the design product: line search integrated detector (NF-288). 2. The use of the design product: for detecting network lines, line search, and line matching functions. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: kit 1 perspective view 1. 5. Other circumstances that need to be explained: kit 1 is a detection signal transmitter, and kit 2 is a detection signal receiver.

This application discloses a data access method, apparatus, cache unit, and computer system. The application obtains the access response of a cache-missed target request. The response is based on the status information in the target entry corresponding to the target request, indicating an unprepared state, and the absence of a cache line matching the address information of the target request. A corresponding target cache line is allocated based on a predetermined replacement algorithm, and the access response is stored in the target cache line. Therefore, this application employs a cache delay allocation strategy. Upon receiving the access response, it determines whether the page table range of a previously requested access response covers the current access response by using the status information in the corresponding target entry. Simultaneously, it checks whether a cache line with a matching address exists. Only after determining that there is no local access response in the current cache is a new cache line allocated. Based on this, the application effectively avoids the problem of duplicate page table storage, improves the available cache capacity, and avoids resource waste.

The application provides a kind of step-by-step heating furnace operation optimization system, it is related to industrial furnace operation technical field, the system includes: offline CFD simulation unit, for carrying out multi-physical field numerical simulation, obtains the optimization operating parameter corresponding to operating condition;Scene database, for storing the mapping relationship between multiple operating conditions and corresponding optimization operating parameters;Online state acquisition unit, for real-time acquisition heating furnace current operating state parameter;Online matching and parameter extraction unit, for determining target operating condition and target optimization operating parameter according to current operating state parameter;Execution control unit, for adjusting fuel and combustion-supporting gas supply system, flue gas circulation and heat exchange system, to realize the optimization of step-by-step heating furnace operating state.This scheme can avoid the high computing cost of online real-time CFD, while improving the operating efficiency and temperature field uniformity of step-by-step heating furnace, and has good engineering application value.

The embodiment of the application can be applied to the field of transportation and relates to a vehicle line matching method and a public transportation information query method. The vehicle line matching method comprises the following steps: acquiring at least one map line comprising at least one line segment and vehicle trajectory data comprising a plurality of trajectory points; determining at least one candidate line segment corresponding to each trajectory point from the at least one map line; generating the attribution probability of each trajectory point on the corresponding candidate line segment, and performing turn cutting on the vehicle trajectory data based on the at least one candidate line segment to obtain at least two turn segments; performing quantitative evaluation on the at least two turn segments respectively based on the attribution probability of each trajectory point on the corresponding candidate line segment to obtain the quantitative evaluation result corresponding to each of the at least two turn segments; and performing line planning solving based on the quantitative evaluation result corresponding to each of the at least two turn segments to obtain a vehicle line matching result. The method can realize accurate vehicle line matching.

The invention discloses an indoor map positioning and navigation algorithm, and relates to the technical field of indoor positioning and navigation. Comprising an off-line database building stage and an on-line matching stage, wherein in the off-line stage, Wi-Fi signals are sampled according to grids in the indoor environment, and a three-level fingerprint database is built; in the online stage, through an improved Euclidean distance algorithm, multiple optimization strategies of matching degree percentage index amplification, multi-floor judgment and terminal attitude compensation are fused, real-time coordinates of a terminal are calculated, and continuous navigation is achieved in combination with path planning and filtering smoothing. According to the method, the existing Wi-Fi infrastructure is fully utilized, meter-scale positioning precision is realized, signal fluctuation and multipath interference are effectively overcome, and the method has the advantages of zero hardware cost, high robustness, strong scene adaptability, data statistical analysis capability and the like.

The invention relates to a reference line matching method and device, a vehicle, a chip and a storage medium, and belongs to the field of intelligent driving. The method comprises the following steps: acquiring a first reference line set of a first frame image, and acquiring a second reference line set of a second frame image; determining a special reference in the first reference line set; matching the special reference line with a second reference line in a second reference line set; after matching of the special reference lines is completed, matching other reference lines in the first reference line set with unmatched reference lines in the second reference line set to obtain reference line pairs after inter-frame matching; and controlling the vehicle to run based on the matched reference line pairs. Therefore, the reference line for the driving decision can be preferentially matched, and the decision information is ensured to participate in the reference line matching. By performing multi-feature matching on the reference line, the shape of the reference line can be considered in the matching process, and the matching flexibility and success rate are improved.

The application relates to a bus automatic matching line method, equipment and a readable storage medium, the method comprises the following steps: acquiring pre-stored line station sequence information; collecting and processing vehicle GPS positioning points to generate effective GPS track sequences; starting matching when a trigger condition is met, and extracting single complete operation data to generate a historical normal track cache; arranging the effective GPS track sequences in a reverse order according to time to obtain reverse-order GPS track sequences; fusing the historical normal track cache into the station sequence and arranging the station sequence in a reverse physical order to obtain a reverse-order target sequence; and matching and calculating the reverse-order GPS track sequences and the reverse-order target sequence, and determining an actual running line and direction according to the matching score rate of each candidate line direction. The application effectively overcomes the direction misjudgment in the scenarios of terminal station turn-back and midway departure, and realizes high-precision line matching without manual intervention.

A optimizing apparatus capable of solving an online matching problem according to an embodiment includes: circuitry configured to acquire input data including information regarding the node, a remaining amount given to a fixed node among nodes, the appearance probability given to an appearance node among the nodes, and a reward given to each edge when matching is performed, perform formulation to a first optimization problem based on the input data, determine whether or not all of the appearance nodes satisfy a predetermined assumption, perform transformation into a second optimization problem capable of obtaining an approximate solution that is a variable that controls a weight of each node and the appearance probability in the first optimization problem and a matching strategy in a case where the predetermined assumption is satisfied, obtain the approximate solution by solving the second optimization problem, and output the approximate solution.

This invention discloses a programmable delay-triggered system for large-scale high-speed data acquisition, solving the underlying technical problems of severe waste of cache resources and insufficient synchronization accuracy in cross-board distribution caused by traditional global rigid triggering mechanisms. The system consists of a host computer parameter scheduling module, a programmable hardware trigger control chassis, and a large-scale data acquisition array. The host computer issues ASCII scientific notation configuration frames containing independent delay and pulse width parameters for each channel; the FPGA asynchronously preloads parameters during non-acquisition periods and outputs the set trigger pulses in parallel under the drive of an external global reference edge. The system integrates a cross-level collaborative alignment mechanism of "FPGA internal logic IOB constraints," "PCB-level equal-length trace matching," and "channel-end RC precision calibration circuit," controlling the trigger delay difference of multiple channels within ±500ps.

The application relates to an online scheduling and offline optimization collaborative method for large multi-water plant water supply pipe networks, and belongs to the technical field of intelligent water affairs and water supply pipe network optimization scheduling. In the offline optimization stage, typical working conditions are obtained through clustering, and an improved genetic algorithm is coupled with a hydraulic model to pre-calculate an optimal scheduling scheme, so that convergence is accelerated and feasibility is ensured. In the online scheduling stage, multi-dimensional similarity evaluation is carried out, the optimal pre-calculated scheme is directly called for high-similarity working conditions, and a candidate scheduling scheme is quickly generated based on linear extrapolation for low-similarity working conditions, and the candidate scheduling scheme is output after being verified by a hydraulic model. The application considers real-time performance and optimality, places the genetic algorithm with large calculation amount and the iterative optimization of the hydraulic model in the offline stage, only performs light calculation in the online stage, forms a closed-loop architecture of offline pre-calculation and online matching, and the system has self-evolution ability and improves optimization solving efficiency.