28results about How to "Exact match" patented technology

This application discloses an image-text matching method, device, and storage medium. The image-text matching method includes: extracting global visual features using the visual coding features of the target image, and extracting global text features using the text coding features of the target text; using the text coding features, generating importance parameters corresponding to each visual feature channel in the global visual features; removing features corresponding to visual feature channels whose importance parameters do not meet the requirements from the global visual features to obtain enhanced visual features; and performing feature matching on the enhanced visual features and the global text features to obtain a matching result for the target image and the target text. This method can improve the accuracy of image-text matching.

The application discloses a visual positioning method based on memory self-correction. The existing visual positioning method uses fixed image and text representation to capture cross-modal semantic consistency, which limits the flexibility of adjusting image representation according to different text information. In order to cope with this limitation, the application proposes a new memory self-correction network, which dynamically refines the image representation according to the query, thereby improving the semantic consistency between the text and the image to realize visual positioning. A semantic related filtering module (SRFM) and an adaptive memory fusion module (AMFM) are constructed to explicitly model the relationship between the image and the text. SRFM focuses on filtering image information irrelevant to the query, while AMFM adaptively fuses text-related representation with initial image features to enhance the understanding ability of the MSCN model. Comprehensive experiments on three datasets verify the superiority of the proposed method compared with existing methods.

This specification provides a method, device, medium, and program product for training a generative model and retrieving goods. The method includes: acquiring first sample data including first sample goods information; generating multiple first sample query messages from an initial generative model based on the first sample goods information; determining a first positive sample and a first negative sample from the multiple first sample query messages; wherein the correlation between the first positive sample and the first sample goods information is higher than the correlation between the first negative sample and the first sample goods information, and the number of historical queries corresponding to the first positive sample is greater than the number of historical queries corresponding to the first negative sample; determining a first probability that the initial generative model outputs the first positive sample based on the first sample goods information and a second probability that the initial generative model outputs the first negative sample based on the first sample goods information, and training the initial generative model with the goal of increasing the first probability and decreasing the second probability to obtain a target generative model.

The application discloses a kind of full-process supervision systems based on visual offline identification, and the application relates to component production technical field, it is solved that existing technology mostly stays in single size comparison level, lack of the problem of full-process integrated supervision mechanism from model generation, standard matching, automatic splicing to assembly verification, the unified check feature of the present application is constructed by built-in midpoint, plane midpoint and feature vector, corresponding three-dimensional standard model can be matched from model database quickly and accurately, the identification logic is stable, and the anti-interference is strong, effectively avoid the model mismatching problem caused by similar appearance;Through the vector comparison of reference feature and component feature, length difference and included angle calculation, the assembly accuracy can be quantitatively judged, and the assembly standard, correctable and substandard state can be distinguished, the visualization and digitization of assembly quality are realized, the on-site quick error correction and traceability are facilitated, and the assembly reliability and overall production quality of flow line are effectively improved.

The application discloses an internet hospital hierarchical diagnosis and treatment and resource scheduling method and system, the method comprises the following steps: in response to the diagnosis and treatment request sent by the user, obtaining the diagnosis and treatment data containing the patient's complaint information; inputting the diagnosis and treatment data into the disease assessment model for feature extraction, and outputting a feature vector representing the patient's disease state; the feature vector at least includes a first dimension parameter representing the emergency degree of the disease and a second dimension parameter representing the complexity of the disease; based on the feature vector, determine the target resource node in the hierarchical medical resource database; according to the target resource node, generate a resource scheduling instruction, and establish a communication link between the user terminal and the corresponding server of the target resource node. The application introduces a two-dimensional evaluation system of emergency degree and complexity, combines a dynamic threshold adjustment mechanism based on supply and demand prediction, and significantly improves the utilization efficiency of medical resources and the accuracy of diagnosis matching.

The application provides a kind of data acquisition method, device, electronic equipment and medium of rich energy sensor, the data acquisition method, comprising: based on the first feature information of three-dimensional model, the image collected is matched, the corresponding area of image in three-dimensional model is determined, realizes pixel registration;Wherein, the first feature information is in the unit of pixel of three-dimensional model, including first point information, first line information, first surface information;According to the three-dimensional information of corresponding area in three-dimensional model, the pixel point of image is valued;The pixel point of image after valuation contains three-dimensional information;Determine the moving target in image;The attribute information of moving target is acquired, and the corresponding data measurement mode is selected based on attribute information;Wherein, data measurement mode is used to realize the corresponding function of rich energy sensor, including: specific target identification and measurement, meteorological element measurement, foreign matter detection, vibration wave extraction and micro-deformation measurement;Data measurement mode is executed, and measurement data is obtained.

This invention relates to the field of oil and gas field stimulation technology, and discloses an integrated system and method for horizontal well acidizing design. The system includes a skin coefficient calculation module, which calculates the post-damage composite seepage resistance term, ideal production capacity, and actual production capacity of the horizontal well, and inversely obtains the skin coefficient of each horizontal segment; an acidizing parameter optimization module, which constructs a production capacity prediction model to obtain optimal acid injection parameters; a CT injection calculation module, which dynamically adjusts the fluid absorption weight of each horizontal segment, configuring it as a subdivided horizontal segment at 1m equidistant intervals along the horizontal well axis, and calculates the total friction loss, fluid absorption, wormhole length, and acid absorption zone status of each subdivided horizontal segment; a design report generation module, which generates technical recommendations; and a visual interactive interface module, which provides parameter import, calculation process monitoring, and result visualization. This invention solves the problems of imprecise skin coefficient calculation, lack of closed-loop parameter optimization, low accuracy of acid distribution simulation, non-standard report generation, and poor interactivity in existing technologies.

The invention relates to an advantage evaluation method for a fabricated structure technical system in the field of low-rise houses, and belongs to the technical field of fabricated buildings. The technical problem to be solved is that for selection of an existing fabricated structure technical system in the low-rise house field, a scientific and quantitative mathematical evaluation method is lacked, and accurate matching of the fabricated structure technical system and different application scene requirements cannot be achieved. According to the technical scheme, a target application scene is determined, demand weight coefficients corresponding to cost, construction period and performance are set, benchmarking products are selected to obtain related basic data, fractal dimension advantage indexes and industrialization indexes of a to-be-evaluated system are calculated, comprehensive competitive power indexes are calculated in combination with the weight coefficients, and the system is evaluated. And completing selection of the dominant technology system according to an index result.

This application discloses an online calibration method and apparatus for sensors of autonomous vehicles. The method includes: determining whether the driving lane of the autonomous vehicle meets online calibration conditions; when the online calibration conditions are met, acquiring road image data collected by the autonomous vehicle's camera and laser point cloud data collected by the LiDAR, performing target detection on the road image data and laser point cloud data to obtain image-detected targets and point cloud-detected targets; determining whether the image-detected targets and point cloud-detected targets are the same target; when they are the same target, acquiring first feature point data of the image-detected target and second feature point data of the point cloud-detected target, performing matching calculations on the first feature point data and second feature point data to obtain the online calibration result between the camera and the LiDAR. The technical solution of this application can quickly and accurately complete the online calibration of sensors of autonomous vehicles.

The application discloses a face image face filling method and system and a storage medium, and the method comprises the following steps: acquiring an input image, performing face feature extraction, and obtaining two-dimensional face features; obtaining two-dimensional face texture feature information according to the two-dimensional face features, and calculating the illumination coefficient of the input image; performing three-dimensional face reconstruction based on the two-dimensional face features and the two-dimensional face texture feature information, combining a preset three-dimensional face model, obtaining a first three-dimensional face model; performing morphological filling processing on the first three-dimensional model, obtaining a second three-dimensional face model, and then adding the illumination coefficient to obtain a third three-dimensional face model; and mapping the third three-dimensional face model to a two-dimensional plane to obtain a face image face filling effect diagram. Through the three-dimensional face reconstruction and morphological filling processing based on the preset three-dimensional face model, the filling effect diagram is more realistic, natural and stereoscopic, and the user can comprehensively evaluate the risk of medical beauty filling.

The utility model provides a kind of flue gas denitrification device, belong to flue gas denitrification equipment technical field, including the gas inlet pipe of one end with steam main pipe connection in boiler, further include liquid inlet pipe for conveying urea solution, for mixing steam and urea solution mixing mechanism, the other end of liquid inlet pipe and gas inlet pipe is respectively connected with mixing mechanism, mixing mechanism is connected with distribution joint, several distribution pipes are arrayed on distribution joint, several distribution pipes are all connected with injection pipe, the other end of injection pipe is connected with the spray head of injection towards flue interior.The flue gas denitrification device provided by the utility model, steam is transported to mixing mechanism by gas inlet pipe, the urea solution in liquid inlet pipe is mixed atomization and transported to distribution joint by Venturi mixer of mixing mechanism by steam, uniformly mixed under the action of helical blade of distribution joint, finally, spray into different parts in flue by multiple spray heads, urea is more uniform after steam atomization and sprayed into flue, and denitration reaction effect is better.

The application relates to the technical field of data processing, in particular to a target recommendation method and device, equipment and medium. The method comprises the following steps: acquiring virtual resource demand information input by a user; determining a virtual resource demand market based on the virtual resource demand information; acquiring a dynamic board mapping table corresponding to the virtual resource demand market in a current period; determining a target recommended virtual resource board resource set by using a preset virtual resource recommendation model based on the virtual resource demand information, the virtual resource demand market and the dynamic board mapping table; and determining a target virtual resource object according to the target recommended virtual resource board resource set, so that accurate matching of related board information is realized according to dynamically updated board data in a target market, accurate target recommendation is realized, and accurate target recommendation query conditions are formed.

This invention discloses a remote control system for port container cranes. The system comprises a network monitoring module, a controller, a sensor array, a video encoder, and a remote operation terminal. The system utilizes the sensor array to acquire physical parameters such as spreader height, trolley and spreader speed, and distance from the top of the target container. It calculates the bandwidth allocation ratio coefficient for the region of interest in the video and sets mandatory numerical range constraints to achieve precise mapping between visual resources and operational urgency. To address the mechanical inertia of the trolley mechanism, the system employs a combination of trend prediction and physical boundary limiting to smoothly compensate for control commands. The rate of change of the predicted commands is limited by the maximum permissible acceleration, resolving motion misalignment issues caused by network jitter. This invention improves the system's fault tolerance under extreme operating conditions, ensuring high-definition feedback and inherent safety during remote container operations.

This invention discloses a method and system for publishing multimodal data in industrial production for artificial intelligence, belonging to the field of industrial intelligence and data processing technology. The method includes: collecting multimodal data and performing hardware-level time synchronization and preprocessing to obtain a synchronized data stream; extracting multimodal features from the synchronized data stream in parallel and using an attention mechanism to fuse networks and generate a unified feature vector; constructing a five-dimensional quality assessment system and intelligently enhancing it; performing structured annotation and version management; adapting and publishing datasets according to AI tasks; implementing multi-level data anonymization and fine-grained access control, embedding invisible digital watermarks, and generating audit logs; and enabling multi-terminal access through a publishing platform. This invention solves the problems of difficult data alignment, poor quality, and low reusability, achieving secure data sharing and providing a high-quality, standardized data infrastructure for industrial AI applications.

This invention discloses a current protection method and system for distributed power generation distribution networks, relating to the field of distribution network technology. The invention first collects parameters of the distribution network's common coupling point in real time to predict grid-connected or islanded operation modes. It then distinguishes between inverter-type and synchronous generator-type power supplies based on harmonic content and current response speed, accurately calculating the main protection settings for each power supply. Next, it employs dual-start components for current surges and voltage dips to detect faults, comprehensively determining whether the fault is within or outside the designated area. Subsequently, it determines the braking level based on fault characteristics, dynamically adjusts power supply output limits, and forms a three-dimensional protection system with dual backup protection. Finally, it sets differentiated reclosing delay times based on fault levels and adopts corresponding closing sequences according to the operating mode. This achieves full-scenario adaptability of the protection strategy, significantly improves the accuracy of fault determination, ensures grid stability through the synergy of protection and braking, optimizes recovery strategies to improve power supply reliability, and perfectly adapts to the safe and efficient operation requirements of diverse distribution networks.

The application discloses a table structure recognition method and device, a storage medium and an electronic device. The method comprises the following steps: obtaining a target picture containing a target table object; using a predetermined target key point prediction model to predict key points of the target picture by using a key point heat map prediction method, to obtain coordinate values of each key point and type information of each key point; using a predetermined target key point matching model to match each key point based on the coordinate values of each key point and the type information of each key point, to obtain a plurality of key point sets; and performing table reconstruction based on the coordinate values in each key point set, to obtain a recognition result of the target table object. In the application, the key point prediction model and the key point matching model are used, so that a plurality of key point sets corresponding to each cell can be accurately obtained, and the target table object can be accurately reconstructed based on the plurality of key point sets.

This disclosure provides a video display method and apparatus. The method includes: acquiring video data of a target video and determining a first display brightness for displaying the target video based on the video data, wherein the target video includes a high dynamic range (HMR) video; correcting the first display brightness based on a screen brightness curve to obtain a second display brightness, wherein the screen brightness curve is a brightness correction curve for a display screen used to display the target video; mapping the second display brightness based on a pre-configured first lookup table to obtain a target display brightness, so that the target display brightness matches the HMR of the target video; and displaying the target video on a display screen based on the target display brightness. By adjusting the screen characteristics of the display device, the screen of the display device can accurately match the HMR video, protecting the information source of the video and improving the video playback effect.

The utility model relates to the field of compressor precision casting provides a high manganese steel balance block of scroll compressor, through setting the body of ring and encasing outside the axle rod of compressor, through setting the boss for matching with compressor axle part, the boss's '7' character shape's boss can be good with compressor axle part together realize firm assembly, the body installs and fixes through four through -holes, the body outside stores lubricating oil through oil storage groove to lubricate use, the body surface sets up the sound -absorbing cotton through setting up arc -shaped groove, realizes the noise reduction on the basis of not influencing overall structure, the size of body and through -hole and the size of boss match the compressor well, realize accurate assembly, the arc -shaped groove presents to the circular direction and arranges in proper order, like this maximization uses space, guarantees the effect of noise reduction.

The application discloses a kind of set up and release of collaborative optimization system of port loader scheduling, it is related to port scheduling technical field, including the following steps: step 1, data acquisition: data set is obtained by MySQL database;Step 2, data processing;Step 3, establish set up and release of collaborative optimization model of port loader scheduling, divided into two parts of constraint condition and the construction of objective function;In the present application, intelligent scheduling, efficient collaboration: according to the complex field conditions of gas transport set up and release, establish set up and release of collaborative optimization mathematical model of port loader scheduling under matching scene, the optimal loader configuration and controllable release vehicle can be accurately calculated, to ensure the efficient use of resources, through the system not only can significantly improve the efficiency of field operation, but also can promote the collaboration and smoothness of overall operation process.

The present disclosure provides a text matching method and device, electronic equipment and readable storage medium, which are used to improve the accuracy of text matching. The method comprises the following steps: dividing a target text into a head text and a tail text; determining a matching start position contained in a reference text through a first sliding window; extracting a plurality of groups of second text character groups from the reference text through a second sliding window, and calculating the similarity between each group of second text character groups and the tail text; determining a matching end position contained in the reference text according to a group of second text character groups satisfying a second similarity condition; extracting a matching text character from the reference text according to the matching start position and the matching end position; and performing a matching judgment according to the comparison result between the matching text character and the target text.

The utility model provides an instrument panel pipe beam flexible clamping mechanism, including, support frame is including two support plates and support seat, is equipped with arc guide groove on support plate, and the front end, the middle part, the back of corresponding arc guide groove are equipped with shaft hole respectively, the opposite shaft hole of two support plates is equipped with guide roller, the middle lower part of support plate is equipped with accommodation recess, rotating clamp jaw, arc, mobilely is equipped in guide roller, the middle part is equipped with guide shaft, and this guide shaft both sides are inserted in the arc guide groove of two support plates respectively, drive link assembly, including, two first connecting rods, one end is connected in the both ends of guide shaft respectively, and the other end is connected in the both ends of swing joint axle respectively, two second connecting rods, one end is coaxial connection swing joint axle's both ends respectively, and the other end is connected in the both ends of fixed axle, and the fixed axle is equipped with fixed in the back of two support plates, drive cylinder, the rear part of its cylinder body is connected in the back of support seat, and the piston rod end is connected in one end of swing joint axle, clamping block, is equipped in accommodation recess.

The application discloses an AI-based intelligent factory dynamic production scheduling optimization method and system, and belongs to the technical field of factory dynamic production scheduling, and the method comprises the following steps: acquiring and integrating the working states of various types of equipment in the factory, the inventory location states of different materials, manual data, production order states, process route requirements, the plan and completion time of each process, and the delivery period requirements of customers; combining the supply chain material data, the factory storage space, the equipment switching cost, the production rules, the order process dependency relationship, and the production target, and generating an initial production scheduling plan through an AI optimization algorithm; the application generates an initial scheduling plan by acquiring and integrating multiple types of production data, monitors dynamic events, evaluates multiple schemes, selects an optimal scheme through economic model evaluation, and realizes production refinement, dynamic response, and benefit optimization.

This invention provides a tunable gradient-curved sound barrier structure and method based on 3D printing, belonging to the field of environmental noise control technology. The sound barrier unit is fabricated using an integrated molding process. Its core lies in the internal construction of a folded, curled topological skeleton with a gradient distribution along the sound wave propagation direction. This skeleton extends vertically to form a three-dimensional solid. The geometry and spacing of the internal folded channels can be parametrically adjusted to achieve precise matching with the target noise spectrum characteristics. In terms of manufacturing process and materials, this invention employs selective laser sintering technology, using modified microporous nylon composite material as raw material. For highway traffic noise scenarios, this structure effectively extends the sound wave propagation path and induces sound energy dissipation by utilizing gradient-changing folded channels, achieving efficient insertion loss in the two energy-concentrated frequency bands of 315-500Hz and 800-1250Hz. Simultaneously, combined with the micropores and high damping characteristics of the material, it effectively suppresses the coincidence effect.

This invention discloses an adaptive airflow and direction control method and system based on fruit tree canopy characteristics, belonging to the field of agricultural plant protection machinery. The system includes a three-dimensional lidar mounted on the front end of a mobile chassis, a contouring module mounted on the rear end of the chassis, and a controller, air delivery module, and spraying module located on the chassis. During operation, the system first performs initialization self-checks and resets; then, the controller extracts the maximum two-dimensional contour of the canopy based on the lidar point cloud and completes area division based on the air outlet layout; next, it generates contouring motion commands for the robotic arm based on the contour segmentation fitting results; finally, it calculates the total airflow according to operational requirements and determines the distribution ratio of each air outlet and the fan speed, with real-time monitoring and closed-loop feedback throughout the process. This invention effectively improves droplet drift and pesticide loss caused by inaccurate wind direction and improper airflow, enhancing the uniformity and utilization rate of pesticide deposition within the canopy while reducing environmental pollution during application.

The application provides a kind of graph code matching method and system based on KM algorithm, it is related to big data field.The graph code matching method based on KM algorithm includes the following specific steps: step 1, the data acquisition of the face of the person and the equipment characteristic code accompanying with it;Step 2, according to the time of data acquisition, the matching relationship of face image and equipment characteristic code is established, and the graph code matching times are calculated;Step 3, the best matching set of face image and equipment characteristic code is obtained by KM algorithm;Step 4, the matching relationship classification calculation is carried out on the best matching set, and the accurate matching data set is obtained.The graph code matching based on KM algorithm can realize the accurate matching of the face of the person and the equipment characteristic code accompanying with it, greatly enrich and supplement the activity data of the same person, so as to form the prediction of the subsequent activity of the relevant personnel, and greatly improve the application value of graph code matching data.

The present application relates to the technical field of data processing, and more particularly to a power supply command guarantee data integration and emergency event disposal method and system, the method collects target multidimensional data through step S1, also integrates multi-source data and spatialized visualization through step S2, also accurately geographically correlates and maps multi-source heterogeneous data and the power grid one map through step S3, also upgrades the static command view to the dynamic calibrated intelligent operation map through step S4, also realizes the automatic identification and intelligent filtering of the power grid emergency event through step S5, also realizes the accurate matching of the emergency event and the surrounding emergency resources through step S6, also realizes the intelligent generation of the disposal strategy through step S7, also constructs the self-adaptive closed-loop optimization mechanism through step S8, and also continuously optimizes the resource matching and the scheduling rule through step S9.

This utility model relates to the field of rebar hook inner diameter detection, and more particularly to a rebar hook inner diameter detection component, comprising a hand-held cylinder and several stacked measuring plates. One end of each measuring plate is arc-shaped, and the other end of each measuring plate has an integrally formed connecting portion. The hand-held cylinder has a groove for accommodating the connecting portion, and the connecting portion is slidably connected within the groove. An anti-detachment component is installed on the hand-held cylinder to prevent the connecting portion from disengaging from the groove. The measuring plates are slidably connected to the hand-held cylinder via the connecting portion at their ends. This rebar hook inner diameter detection component allows users to easily and quickly adjust and select the appropriate measuring plate according to the size of the rebar hook. This design avoids the inconvenience of frequently changing measuring tools and significantly improves detection efficiency.

This invention discloses an energy-saving control method for adjusting the temperature and humidity of a cleanroom, comprising the following steps: S1, acquiring real-time temperature and humidity data, equipment operating status data, and outdoor meteorological data at multiple locations within the cleanroom; S2, generating a dynamic temperature and humidity load distribution cloud map based on the indoor temperature and humidity data and a cleanroom space model; S3, logically dividing the cleanroom into at least two virtual areas with different control priorities based on the dynamic temperature and humidity load distribution cloud map. The beneficial effects of this invention are: by constructing a dynamic load distribution cloud map and dividing virtual areas, a shift from overall uniform control to precise, on-demand local control is achieved. By matching and directionally intervening in dynamically occurring local load areas with the lowest-cost available adjustment methods in real time, energy waste caused by overall adjustment to meet local needs is avoided, significantly reducing the total system energy consumption while ensuring the control accuracy of key areas.