48results about How to "Avoid double counting" patented technology

The invention relates to the technical field of underwater static target object detection and processing, in particular to an unmanned cross-domain positioning and acoustic fingerprint processing method and system for an underwater static target. Comprising the following steps: performing wide-area scanning on a task sea area, and scheduling an AUV and unmanned aerial vehicle cluster to a target area after discovering a suspicious target; the unmanned aerial vehicle cluster receives an acoustic signal of the AUV and transmits the acoustic signal to the cooperative resolving center in combination with self-positioning data so as to provide accurate coordinate guidance for the AUV; the AUV sails to a target area, parallel processing map construction and accurate positioning, target identification and dual-mode fingerprint generation are carried out, and a target task package is packaged; the ROV receives and analyzes the task packet, autonomously plans a path and sails to a target area, a sonar is started to collect data and generate real-time feature fingerprints, and the real-time feature fingerprints are matched with fingerprints in the task packet; and after matching succeeds, a specific job task is autonomously executed. According to the invention, a complete automatic solution is provided for scenes such as deep and far sea detection, emergency salvage, pipeline maintenance and the like.

This application relates to the field of image measurement technology and proposes an automatic detection, tracking, and positioning method for aerial targets, applicable to high-precision perception and stable locking of low-altitude and near-altitude moving targets in complex environments. This invention employs a system redundancy and fusion detection approach, utilizing both a visible light camera and a lidar sensor to construct two sets of detection sensors with different modes for target detection. The data from these different modes are then fused, enabling automatic detection, tracking, and positioning of small aerial targets at distances greater than 500 meters in the far field. This provides target positioning information for subsequent precise detection, focusing, and real-time tracking display.

This invention discloses a method and system for predicting the structural response of historical buildings under atmospheric temperature fields. The method includes: acquiring atmospheric temperature field information, structural temperature field information, and structural response information over a past period; using the atmospheric temperature field information, structural temperature field information, and structural temperature field information and structural response information as training sets, respectively, to establish and train an atmospheric temperature prediction model for structural temperature and a structural temperature prediction model for structural response based on artificial intelligence algorithms; predicting future structural temperature field information based on future atmospheric temperature field information and historical structural temperature field information using the atmospheric temperature prediction model for structural temperature; and predicting the future structural response information of the historical building structure over a future period based on future structural temperature field information and historical structural response information using the structural temperature prediction model for structural response. This invention improves the accuracy and precision of predicting the structural response of historical buildings as atmospheric temperature changes, and has a wide range of applications.

The present application relates to a kind of laser radar and camera online self-calibration method and system without induction, the method includes: S1.in the process of vehicle driving, through multi-source trigger mechanism acquisition laser radar point cloud data and camera image data, simultaneously obtain vehicle motion state information and automatic driving perception system output result, the multi-source trigger mechanism includes time trigger, event trigger and cloud data mining trigger parameter degradation model;S2.the pre-processing and feature extraction of the multi-source data collected, obtain laser radar point cloud feature and camera image feature;S3.based on geometric constraint, motion consistency and perception result fusion, constructs multi-modal verification model, and carries out multi-dimensional verification to calibration parameter.The present application not only reduces the artificial maintenance cost, through automatic means maintenance vehicle state to achieve sensor calibration parameter degradation self-detection and self-calibration without induction, and improves the reliability and attendance rate of automatic driving vehicle.

This invention relates to the field of vehicle design technology and discloses a method and apparatus for determining the display area of ​​a combination instrument cluster. The method includes: acquiring first simulated data of the steering wheel, second simulated data of the user's eye ellipse, and third simulated data of the combination instrument cluster display surface; determining a central field of view region based on the first simulated data, the third simulated data, and simulated data of the central eye point; translating the central field of view region based on the simulated data of the central eye point, at least one simulated data of an extreme eye point, and the third simulated data to obtain at least one extreme field of view region corresponding to each of the at least one extreme eye point simulated data; and determining the display area of ​​the combination instrument cluster based on the central field of view region and the at least one extreme field of view region. Applying the technical solution of this invention can meet the vision requirements of users of different body types, making the design position of the combination instrument cluster universally applicable.

The application provides a three-dimensional part retrieval method based on graph similarity search, relates to the field of computer graphics, and solves the technical problem that the prior art cannot fully utilize the geometry and design semantic information of CAD, and it is difficult to capture and display the topological relationship, resulting in low retrieval efficiency. The method comprises the following steps: obtaining part three-dimensional data of a computer-aided design (CAD) model, and constructing a training data set; constructing an edge-face connection graph based on the part three-dimensional data; calculating a graph edit distance (GED) matrix of all edge-face connection graphs in the training data set as a supervision signal; training a ranking model based on the GED matrix, mapping the edge-face connection graph to a hidden space, and constructing a part vector database according to the output graph-level embedding vector; the ranking model is constructed based on a graph attention network; inputting a CAD part to be queried into the trained ranking model to obtain a feature vector, performing nearest neighbor search in the part vector database, and returning a similar part result.

This invention discloses a multi-task operation ticket continuous printing system and method. The system includes: a status management module for centrally maintaining and managing the status of tasks, steps, and page numbers during the printing process; a dynamic layout calculation module for real-time measurement and pagination decisions on the operation ticket content, including a paginator unit to determine whether drawing is allowed based on the real-time remaining space on the page; and a structured drawing module for executing page drawing based on the layout calculation results, with its drawing cycle following a "measurement, decision, execution" process and synchronously updating the status. The method, based on the above system, forms a closed-loop control process through four steps: initializing the printing status, performing dynamic layout calculation, performing structured page drawing, and updating the printing status, which is executed cyclically until all tasks are completed. This invention achieves accurate dynamic content adaptation, intelligent pagination, globally continuous page numbers, and unified format output for multi-task, multi-step operation tickets, solving the problems of chaotic layout and difficult status management in existing technologies. The system architecture is clear and easy to maintain and expand.

Embodiments of the present application relate to a kind of processing method and system for lane line identification based on image, the method comprises: receiving first image;According to preset image size, the size of first image is adjusted to obtain corresponding second image;Second image is input into preset lane line prediction model to carry out lane line instance and attribute identification processing to obtain corresponding third image.Through the end-to-end lane line prediction model provided in the present application, the identification efficiency can be improved, and system algorithm power resource is saved.

This application relates to the field of natural language processing, and more particularly to a method for ultra-long context tensor parallel incremental attention and differential compression transmission. It employs a multi-level precision sliding window attention mechanism, dynamically allocating precision levels such as fp16 / int8 / int4 based on the distance between the window and the current computation position, and the information entropy of the window content. A tensor parallel incremental attention engine enables cross-GPU / node incremental attention computation and asynchronous All-Reduce synchronization, improving computational efficiency. Semantic differential compression transmission technology is used, transmitting only the differential data based on similarity detection, significantly reducing cross-node transmission overhead. Combined with an extreme performance optimization and security control strategy, a balance between performance and security is achieved through hardware monitoring and dynamic power consumption / frequency adjustment. This invention can significantly reduce memory usage and transmission overhead in ultra-long context processing, improve computational efficiency and hardware utilization, enhance the understanding ability of large models for long texts, adapt to heterogeneous hardware environments, and is suitable for large model inference and training scenarios.

This invention discloses a method and system for collaborative optimization of task scheduling and data caching, belonging to the fields of edge computing and mobile network technology. The method includes: constructing an edge computing environment through multiple edge servers, cloud servers, and a data cache; performing service chain-aware matching on arriving tasks within the edge computing environment to reuse computation results; scheduling tasks using a particle swarm optimization algorithm; obtaining a task scheduling scheme based on a comprehensive fitness function and task scheduling; executing the task scheduling scheme to obtain intermediate result data items; evaluating the value of the intermediate result data items using a multi-dimensional evaluation model to obtain a value evaluation result; updating the content of the data cache based on a genetic algorithm and the value evaluation result; and achieving collaborative optimization between repeated task scheduling and data caching. This invention achieves effective processing of tasks combining multiple services through a service chain-aware matching mechanism and establishes a bidirectional feedback collaborative optimization mechanism for task scheduling and data caching.

The application discloses a mobile device path planning method and an electronic device. The mobile device path planning method comprises the following steps: constructing a fitness function of mobile device path planning; initializing a particle swarm population, and a particle position is used for encoding a candidate path composed of multiple intermediate path point coordinates; performing multiple iterations of optimization, in each iteration, after each velocity and position update is completed, performing a dimension-by-dimension optimization operation on the entire population, the dimension-by-dimension optimization operation searches the path point coordinates of the candidate path encoded by all particle positions in the population dimension by dimension, and optimizes the corresponding path point coordinates in the global optimal position; after the iterations are completed, determining an optimal path based on the path encoded by the global optimal position. The application overcomes the defect that the effective local feature is lost due to simple elimination of low fitness particles in the existing PSO algorithm; meanwhile, repeated calculation of full path evaluation is avoided, and the real-time performance and high efficiency of algorithm operation are ensured while the optimization precision is effectively improved.

The application discloses a method and system for integrated import and automatic matching of collection data and quota, and relates to the technical field of engineering cost data processing, comprising the following steps: obtaining and respectively performing feature processing on collection data and quota data to form collection feature information and quota feature information; constructing a matching relationship between the collection feature information and the quota feature information, and generating a corresponding matching relationship object; establishing dependency description information for the matching relationship object; when the collection data or the quota data changes, judging whether the change affects the existing matching relationship based on the dependency description information; when it is judged that the existing matching relationship is affected, only performing re-matching processing on the affected matching relationship object. The application introduces a matching dependency description mechanism to realize accurate control of the matching relationship between the collection data and the quota, only triggers necessary re-matching processing when the data changes, thereby improving the matching accuracy and reducing the system calculation overhead.

This invention relates to the field of quantum computer technology, specifically to a quantum state transmission method, apparatus, and quantum computer. This application achieves the merging and transmission of global gates by using the target transmission bit and associated global gates as transmission queue parameters for the selected global gates. This reduces the number of quantum state transmissions and effectively improves the computational efficiency of distributed quantum circuits. Secondly, when the selected global gate is a determined associated global gate, the global gate in the next execution sequence of the determined associated global gate in the quantum circuit is selected as the chosen global gate according to the execution timing of the quantum circuit. By eliminating determined associated global gates, the redundant computation of searching for and merging global gates is avoided, reducing the amount of computational result data and thus reducing the storage space occupied by the data.

This invention discloses an intelligent detection method and system for bid format compliance of sealed bid documents, relating to the field of electronic bidding. The method includes: performing format detection based on the format rules of the bidding documents to obtain a set of violation records and a single format detection report; constructing a format error fingerprint vector, calculating cross-file error similarity, and generating a cross-file error similarity matrix; constructing an initial suspected association graph using each sealed bid document as a node and the similarity values ​​in the cross-file error similarity matrix as edge weights between nodes; dynamically adjusting the connectivity threshold, updating the node connection relationships in the weighted disjoint-set data structure, and defining the groups divided under the optimal connectivity threshold as abnormal similar file groups; calculating a bid-rigging suspicion score, generating a bid-rigging detection report, and outputting the bid compliance detection results. This solves the technical problem in existing technologies where isolated compliance judgments on individual bid documents fail to identify potential bid-rigging behavior.

This invention discloses a message processing method and related apparatus, relating to the field of message processing. When the current message cache is not full, the main thread receives live messages and submits them to a HandlerThread for asynchronous parsing to obtain different message types. Corresponding caching strategies are then applied, retrieving image cache data from the ImageSpan cache and text cache data from the plain text cache, assembling them into a complete live message, and inserting it into a RecycleView queue for message aggregation caching. The complete live message is then inserted into a scrolling control in the RecycleView list for display. Based on a preset scrolling strategy, the complete live message is directly scrolled and displayed using a SpannableString cache. This invention utilizes HandlerThread for asynchronous message processing, a three-layer caching mechanism to optimize performance, and strategy parsing to decouple rendering logic, ensuring the main thread maintains a high frame rate.

The invention provides a washing machine water consumption determination method and application, electronic equipment and fabric treatment equipment, and belongs to the technical field of washing machine water consumption detection. The washing machine comprises an outer cylinder assembly and a water inlet valve assembly. A temperature sensor is arranged in the outer cylinder assembly corresponding to a target water inlet level. The washing machine water consumption determining method comprises the steps that in the water inlet process, it is determined that inlet water reaches the target water inlet water level according to the detection result of a temperature sensor, and target water inlet time when the inlet water reaches the target water inlet water level is obtained; the target water inlet time is input into a pre-established water inlet flow and water inlet time relation regression equation, and the water inlet flow of the water inlet valve assembly is obtained through calculation; acquiring water inlet time of the water inlet valve assembly; and calculating the water consumption of the washing machine according to the water inlet time and the water inlet flow. An existing temperature sensor in the washing machine is utilized, the water inlet flow and water inlet time relation regression equation is established in combination with experiments, and it can be ensured that the water consumption of the washing machine can be accurately calculated without depending on a flowmeter.

The application provides a land survey data polygonization method and device for cross-year consistency, and belongs to the technical field of geographic information data processing. The method comprises the following steps: acquiring land use data of consecutive multiple years, each element having a unique identification code; for each current year, performing graphic range change detection on the corresponding elements of the previous year, and generating full polygon results of the current year according to the detection results and the classification processing of the polygonization results of the previous year, and setting the full polygon results of the current year as the polygonization results of the new previous year for processing of the next year; and outputting the full polygon results of all years. Through the detection and succession strategy, the spatial boundaries of unchanged elements are kept consistent across years, pseudo changes caused by inconsistent boundaries are eliminated, and only the changed elements are recalculated, so that the amount of repeated polygonization processing is greatly reduced.

This invention provides a GIS-based urban building and land planning analysis method and system, relating to the field of urban planning and land management information technology. It includes a spatial data version management module for acquiring the GIS spatial dataset and business attribute dataset required for urban building and land planning analysis. This GIS-based urban building and land planning analysis method and system establishes a unified coordinate reference between the GIS spatial dataset and the business attribute dataset, and introduces a data version management mechanism combining baseline and incremental versions. Upon receiving data update events, it performs difference comparisons based on spatial object identifiers to generate accurate change sets. Combined with the analysis dependency graph, it performs incremental recalculation only on the affected analysis subgraphs, achieving rapid updating and traceable management of urban building and land planning analysis results. This avoids repeated calculations of the entire dataset, improving the real-time performance and computational efficiency of planning analysis.

The embodiment of the present application provides a kind of image format conversion method, device and video processing equipment.The method comprises the steps of: obtaining the image to be converted;Determine a plurality of pixel blocks and a plurality of encoding modes based on the image to be converted, wherein the plurality of encoding modes correspond to a plurality of mode index values;According to the luminance component deviation value of the pixel block under the plurality of encoding modes respectively, determine the target encoding mode of the pixel block, wherein the target encoding mode is one of the plurality of encoding modes;Based on the target encoding mode, a plurality of chrominance components of the pixel block are encoded to obtain a plurality of chrominance component output values of the pixel block;According to the target encoding mode, determine the target mode index value from the plurality of mode index values;Based on the target mode index value, a plurality of luminance components and the plurality of chrominance component output values, obtain target data and output.

The present application belongs to the technical field of knowledge compilation and network reliability analysis, and particularly relates to a network reliability intelligent computing method and system for a logical decision graph, comprising: modeling a network system as a triple data structure composed of a network topology graph, a terminal node set and an edge availability probability set; determining a topology order of network nodes and network edges based on the triple data structure; constructing a full binary tree vtree with leaf nodes corresponding to network edges one by one according to the topology order; and compiling the network topology graph into a zero-suppression statement logical decision graph using the vtree, wherein the zero-suppression statement logical decision graph is used to represent a set of valid subgraphs that satisfy terminal node connectivity; and recursively calculating a reliability value of the network system based on the zero-suppression statement logical decision graph.

This invention belongs to the technical field of 3D modeling for engineering construction. It discloses a method and system for modeling bulldozer operation maps in mining areas based on 5D Gaussian geometry. The method includes: S1 acquiring RGB images and depth data of the earthmoving operation area using an RGB-D camera; applying a contrast enhancement algorithm to the RGB data and vibration compensation to the depth data; and performing semantic recognition of the category of each pixel location; S2 back-projecting the depth data to generate a 3D point cloud; constructing 3D Gaussian units at the sampling points of the point cloud; and converting them into 5D Gaussian implicit units covering spatial, temporal, and semantic dimensions after fusing semantic category and timestamp information; generating a 3D implicit base map; S3 filtering the 5D Gaussian implicit units; and projecting to obtain a 2D rendered image. This invention provides 3D visualization support for bulldozer operation in mining areas, is applicable to scenarios such as mining, and solves modeling problems such as weak texture in earthmoving and equipment vibration interference.

This application discloses a method, apparatus, electronic device, medium, and product for visualizing node paths. The method includes: acquiring time node data and configuration parameters; generating a serpentine layout path based on the time node data and configuration parameters; creating an off-screen canvas and a main canvas based on the configuration parameters; drawing static elements on the off-screen canvas according to the serpentine layout path to obtain a static cache bitmap; calculating the global animation progress and segmented progress values ​​based on the system's current timestamp; and overlaying and drawing the static cache bitmap, global animation progress, and segmented progress values ​​on the main canvas to obtain and output animation frames. This method can solve the problems of low rendering performance and interactive stuttering caused by repeated drawing and reordering triggered by an increase in the number of nodes.

The invention discloses an application dependency topology generation method and system based on multi-source configuration analysis, and the method comprises the steps: obtaining an application configuration snapshot in response to a configuration updating event of an application release assembly line; identifying a configuration source protocol, converting configuration data in different formats into a unified standardized key value pair set, and detecting configuration change by calculating a hash feature value; if the change exists, carrying out regular matching and semantic mapping on the standardized key value pair by utilizing a multi-level semantic rule base, extracting implicit service end points and protocol characteristics, and generating application dependency relationship data with confidence coefficient weight; and finally, mapping the data into node and edge objects in a graph database, constructing and updating an application dependent topological graph structure, and driving a rendering engine to generate a dependent topological view. According to the invention, automatic identification and visual display of the application dependency relationship are realized.

This invention discloses a joint sensor registration and multi-target tracking method based on an event-triggered mechanism. Addressing the problems of large computational redundancy and lack of adaptability caused by periodic updates in existing methods, this invention constructs registration errors based on the posterior distribution of multiple targets and further builds event-triggered statistics. Threshold decision and hysteresis mechanisms enable on-demand triggering updates during the registration process, thereby avoiding unnecessary repetitive calculations. Furthermore, spatial transformation parameters between sensors are updated and coordinate alignment is completed only when trigger conditions are met. Subsequently, multi-sensor information fusion is performed to obtain consistent multi-target state estimation results. To improve registration stability, group-level statistical features can be incorporated into the model. This invention significantly reduces computational complexity through the event-triggered mechanism, improves the stability and robustness of the registration process, and enhances adaptability to dynamic environmental changes.

The embodiment of the invention relates to an inference service instance binding method and system, and the method comprises the steps: obtaining instance identification information of at least one candidate inference service instance through an inference client in an inference session establishment process; under the condition that the historical instance identification information is locally stored in the reasoning client, matching the locally stored historical instance identification information with the instance identification information of at least one candidate reasoning service instance; if the matching is successful, determining the successfully matched candidate inference service instance as a target inference service instance, and establishing or maintaining session connection with the target service instance to carry out an inference dialogue; wherein the historical instance identification information is instance identification information of inference service instances connected to the inference client in the last round of inference session; according to the method, when the inference session is newly built, the client can be directly connected to the original instance in which the historical cache is stored, computing resources are reused, meanwhile, a centralized component does not need to be introduced, and the performance bottleneck and the single-point fault risk are avoided.

The invention provides a washing machine water consumption determination method and application, electronic equipment and fabric treatment equipment, and belongs to the technical field of washing machine water consumption detection. The washing machine comprises an outer barrel assembly and a water inlet valve assembly used for controlling water to enter the outer barrel assembly, and a water level sensor is arranged in the outer barrel assembly; the method for determining the water consumption of the washing machine comprises the steps that in the water inlet process, a detection result of a water level sensor within set water inlet time is obtained, and a water level change value within the set water inlet time is determined according to the detection result; the water level change value is input into a pre-established water inlet flow and water level change value relation regression equation, and the water inlet flow of the water inlet valve assembly is obtained through calculation; acquiring water inlet time of the water inlet valve assembly; and calculating the water consumption of the washing machine according to the water inlet time and the water inlet flow. The water level sensor is used for detecting the water level change value, the regression equation of the relation between the water inlet flow and the water level change value is established in combination with experiments, and it can be ensured that the water consumption of the washing machine is accurately calculated without depending on a flowmeter.

This invention discloses a spatial object grouping and selection data processing method based on preset attribute fields, executed by a processor. The method includes: the processor responding to a timed trigger to start a process, checking the processing switch and performing an idempotency check, reading user records and associated spatial object records and loading them into memory, grouping them by preset spatial attribution attribute field values ​​and sorting them in descending order, filling the sorted groups sequentially up to the maximum selection limit, and then writing the results in batches in parallel. This invention replaces distance floating-point operations with processor reading operations on preset attribute fields, utilizes existing structured information in the data storage area to avoid redundant calculations, and eliminates clustering parameter dependencies.

The invention relates to the technical field of electric digital data processing, in particular to a clustering-based real-time hotspot event discovery method and device and a medium. The method comprises the steps that if current time meets a preset triggering condition, whether an initial cluster similar to a first event text exists in an initial cluster set or not is judged for each first event text; if yes, adding the first event text to a similar initial cluster; otherwise, adding a new constructed cluster to the initial cluster set; performing density clustering on the cluster center of each cluster in the updated initial cluster set to obtain a plurality of classes; combining the clusters corresponding to the cluster center included in each class to obtain a target cluster of the class corresponding to the current time; and determining the popularity of each target cluster according to the number of the event texts included in each target cluster, and determining events corresponding to a first preset number of target clusters with the highest popularity as hotspot events corresponding to the current time. According to the invention, the efficiency of the hot event discovery process can be improved.

This invention relates to the field of optical communication technology and discloses a multi-channel active thermal compensation method for optical modules based on a dynamic thermal coupling matrix. This method solves the problems of lag and mutual interference in multi-channel performance compensation, as well as poor wavelength stability in optical modules. The invention utilizes a dynamic thermal coupling matrix to accurately predict inter-channel thermal shocks and implements preemptive three-level compensation, thereby significantly suppressing wavelength shift overshoot. Through a least-squares dynamic correction mechanism, the thermal coupling matrix can track thermal characteristic drift caused by long-term operation in real time, extending the effective lifespan of the optical module. The bit error rate is significantly reduced, and the inter-channel crosstalk suppression ratio is greatly improved, ensuring the integrity and reliability of high-speed data communication. Real-time optimization measures, such as accelerating matrix operations with hardware floating-point units and using a pre-lookup table for compensation coefficients, shorten the overall time consumption of a single compensation process.

The invention provides a BIM model exchange format visualization processing method and system based on a rendering engine, and the method comprises the steps: analyzing BIM model exchange format source data, generating an intermediate data structure of a rendering engine compatible format, the intermediate data structure comprising an entity component node, and the entity component node comprising at least one geometric expression data; according to the intermediate data structure, scene nodes of the rendering engine framework are created, a hierarchical structure of the scene nodes is organized to construct a scene graph, the scene nodes comprise to-be-modeled nodes, and the to-be-modeled nodes comprise at least one piece of geometric expression data; in response to updating traversal calling of the to-be-modeled node by the rendering engine, asynchronously triggering geometric modeling processing of all geometric expression data associated with the to-be-modeled node, generating triangular mesh data, and integrating the triangular mesh data to the to-be-modeled node; and rendering and visual output are driven, so that the BIM model exchange format visual processing method which is high in performance, light in weight and easy to integrate is provided.