168results about How to "Improve matching accuracy" patented technology

The invention discloses an anaphora disambiguation method and system based on big language model enhanced text and structured query language generation. The method comprises the following steps: receiving a natural language question of a user, and analyzing and generating structured table field information through mode information; identifying and rewriting fuzzy time expression in the problem; extracting ambiguous entities, and replacing the ambiguous entities with database standard values through semantic matching and fuzzy matching; synthesizing the information to generate a structured query language statement and executing the structured query language statement; and if the execution result is null, automatically triggering an anaphora disambiguation process, performing error correction and re-matching on field values in the statement through a dual matching mechanism, and generating and executing a corrected query statement. According to the method, the problems of fuzzy anaphora, indefinite time expression, low matching accuracy, resource waste and the like in a traditional SQL system are effectively solved through a strategy of combining pre-processing and post-processing, and the accuracy, robustness and execution efficiency of complex query are remarkably improved.

The invention discloses a measuring point table matching method, device and equipment and a medium, and belongs to the technical field of intelligent cabins of ships. The method comprises the following steps: acquiring a to-be-matched measuring point table, and converting to-be-matched measuring point information in the to-be-matched measuring point table into a first vector; acquiring a plurality of second vectors according to a preset standard measuring point vector database; calculating the similarity between the plurality of second vectors and the first vector, and determining a first candidate set based on the similarity; reordering the first candidate set based on semantic correlation to determine a second candidate set; and performing reasoning matching on the second candidate set through the large language model, and determining a matching result in the second candidate set. According to the method, the matching accuracy is improved by means of semantic analysis, the method does not need to depend on a predefined rule through a large language model, the method has the universality of adapting to ship intelligent cabin systems and comprehensive monitoring systems developed by different manufacturers, and the problem that in the related technology, it is difficult to consider high efficiency, accuracy and universality at the same time in measuring point matching is effectively solved.

The invention discloses a multi-source geographic vector data matching method based on topological relevance, which comprises the following steps: collecting multi-source basic geographic vector data to form a preprocessed data set; constructing multi-index data quality evaluation based on local topological features; extracting and classifying spatial topological relation edges; constructing a weighted adjacent matrix of the target map; a neighborhood topology consistency measurement index is calculated, and neighborhood topology consistency quantization and adaptive weight fusion are carried out; establishing a global optimization objective function by taking the confidence coefficient matrix as input, solving a maximum weight bipartite graph matching problem with topology constraints by taking the topology retention rate as a hard constraint condition, and outputting a global optimal matching scheme; and constructing a quantitative evaluation index topology deviation measure based on topology invariant difference, judging whether a matching scheme has a significant topology conflict, and performing hierarchical repair according to the conflict condition. According to the method, the reliability and logic self-consistency of multi-source vector data fusion are improved, and the key problem of topological contradiction in the prior art is solved.

The invention relates to the technical field of industrial big data, in particular to an Internet of Things sensing and data monitoring integrated system, which comprises an Internet of Things sensing module used for acquiring a sensing parameter set of a distributed simulation unit of an intelligent power plant and a historical performance evolution trend reflecting a dynamic evolution rule; the twin mapping module is used for realizing signal space-time synchronization by utilizing a time service protocol, calling a multi-physics field evolution model to calculate thermal stress offset so as to execute numerical compensation, and generating a high-fidelity physical feature vector; the collaborative decision-making module shares observation information by using a multi-agent distributed collaborative architecture, identifies an electromagnetic-dynamic coupling response mode through a joint reward function and outputs a collaborative optimization strategy; and the execution module is used for generating an evaluation result by calculating the numerical deviation between the physical feature vector and the design envelope, and adjusting the excitation control variable according to a strategy until the system converges to a target equilibrium value. According to the method, the steady state monitoring of the power system is realized through twin mapping and collaborative decision.

The invention discloses a grid exhaustion search cross-pulse pairing method based on correlation matching, and belongs to the technical field of radio signal positioning and detection. According to the method, aiming at the problems of large cross-pulse signal pairing calculation amount and low accuracy in a multi-aircraft cooperative positioning system, efficient and accurate cross-pulse pairing is realized by establishing a cross-pulse boundary model, a symbol matching constraint mechanism and a related matching verification mechanism. The method comprises: determining upper and lower bounds of a cross-pulse according to a geometrical relationship; correcting the search range by using symbol matching; solving a candidate target solution in the limited interval by adopting grid exhaustion search; and a unique effective solution is screened through time and geometry consistency verification. The method can effectively reduce the calculation complexity, improves the cross-pulse pairing precision and uniqueness, and is suitable for a passive positioning system in a multi-target, multi-base-station and low-signal-to-noise-ratio environment. Experiments prove that the pairing time can be shortened by about 50% while high positioning precision is kept, and the method has high engineering application value.

The application discloses a fan shell front and rear hole position positioning method and system based on image recognition, comprising the following steps: S1: collecting a fan shell image through a calibrated binocular camera, and performing stereo correction and illumination invariance enhancement processing to obtain binocular enhanced image data; S2: performing instance segmentation on the binocular enhanced image data based on an instance segmentation neural network to obtain a hole position pixel region set with front and rear semantic labels; S3: performing data-driven hole position coarse matching on the hole position pixel region set through a graph neural network, and constructing a physical constraint rule model to optimize and verify the matching result, and outputting an accurate image matching pair set of the front and rear hole positions; and S4: based on the accurate image matching pair set, constructing a cost function to solve the shell pose and obtain final world coordinates, and realizing the front and rear hole position positioning of the fan shell.

The present application relates to the field of OTN resource matching, and more particularly to an OTN resource intelligent matching method based on artificial intelligence, comprising: inputting the preprocessed service demand, available wavelength resource, real-time bandwidth utilization and support OTU level into a feature extraction model based on a residual multi-layer perception architecture to generate a prediction base feature; inputting the prediction base feature into a feature interaction model based on a compressed interaction network architecture to generate a service comprehensive interaction feature; and inputting the service comprehensive interaction feature into an OTN resource matching model based on an expert gate network architecture to generate a recommended OTU level. Through the hierarchical intelligent model processing of the residual multi-layer perception architecture, the compressed interaction network architecture and the expert gate network architecture, the present application realizes the significant improvement in the accuracy, efficiency, adaptability and network operation value of OTN resource matching.

The application belongs to the technical field of optical three-dimensional measurement, and discloses a two-division iteration sub-pixel matching method and system for phase structured light three-dimensional measurement, which comprises the following steps: obtaining a phase map; performing legality marking and pixel-level initial matching on the phase map; determining a sub-pixel search area based on the pixel-level initial matching; and performing sub-pixel matching point search based on the sub-pixel search area by using a two-division iteration method to obtain a sub-pixel matching point. The application can improve the precision of binocular matching in phase structured light three-dimensional measurement, thereby improving the precision of three-dimensional reconstruction.

This application relates to the field of tracing the causes of cross-border returns, disclosing a method, apparatus, electronic device, and storage medium for tracing the causes of cross-border returns. The method includes: deeply fusing multilingual text comments and image evidence using joint semantic vector technology; dynamically associating front-end return data with back-end supply chain data through root cause mapping to form a preset root cause map, thereby tracing the causes of returns based on return comment information. The beneficial effects of this invention are: breaking down data silos, accurately identifying deep causal relationships, significantly reducing the root cause misjudgment rate, shortening the root cause location time for cross-border returns, and improving the accuracy of supply chain responsibility allocation, thus achieving precise tracing of the causes of cross-border returns.

The application provides an old residential area intelligent updating method and system based on spatial anchor point crowd portrait, and relates to the field of urban planning. The method comprises the following steps: constructing an urban renewal strategy database, determining a spatial anchor point of an old residential area problem space, collecting spatial anchor point resident information, intelligently matching an updating strategy, and intelligently updating the old residential area. The method realizes the intelligent updating of the old residential area by collecting crowd portrait data of the old residential area problem space, matching urban renewal strategy items, and connecting to a concrete 3D printer and a hoisting mechanical arm. The application can cope with the updating of old residential areas in the field of urban planning, realize the matching of updating strategies based on resident crowd portraits, collect more data on the current problems of old residential areas, have higher accuracy of updating strategy matching, have a shorter cycle of "research-design-construction", and have higher qualified rates of standardized operations in updating construction.

The present disclosure relates to the technical field of natural language processing, and particularly provides a knowledge question answering method, device, medium and product. The method comprises: in response to receiving a query request sent by a user terminal, obtaining a target question text to be processed, and determining a target text vector corresponding to the target question text; based on a document block vector filtering condition, starting from a leaf node at the bottom layer of a document block vector tree in a knowledge vector database, determining a target node according to a comparison result between the target text vector and a document block vector of the node, wherein the document block corresponding to the document block vector of the parent node in the document block vector tree contains text content in the document block corresponding to the document block vector of each child node under the parent node; based on a large language model, processing the target question text and the target text vector of the target node in the document block vector tree to obtain a question answering result, and sending the question answering result to the user terminal; and the present disclosure improves the accuracy, comprehensiveness and reliability of the determined question answering result.

The application discloses a museum and art exhibition intelligent operation and visitor experience optimization system and method, relates to the technical field of intelligent management of museums and art exhibitions, and comprises the following steps: obtaining interactive behavior data and identity data of each target object; performing group projection on the interactive behavior data and the identity data, generating group structure data, and performing hierarchical attribution division on the group structure data from an identity dimension, to generate exhibition participation data of each group; and performing scheduling analysis on the correlation degree of the target objects contained in the corresponding group according to the exhibition participation data, to generate behavior-identity deviation data. Through the hierarchical allocation and dynamic reallocation mechanism, the scheme can accurately reflect the resource demand differences of different group levels, and solves the problem of insufficient display strategy adaptability caused by ignoring the behavior differences between group levels in the prior art.

The application discloses a kind of gap foreign matter detection methods based on visual image feature matching, comprising the following steps: obtaining the video of gap detection area, feature extraction and initial matching are carried out to reference image and image to be detected;Using the nearest neighbor distance ratio NNDR algorithm carries out preliminary elimination of mis-matching point;Using local deletion method is further eliminated to the mis-matching point of one-to-many for the matching of a feature point in reference image and multiple feature points of image to be detected, to obtain effective matching point;Foreign matter detection is carried out by the number and distribution area ratio of effective matching point.The method can effectively eliminate mis-matching point when feature matching, improve matching accuracy;Foreign matter detection is carried out to gap using the relative number of effective matching feature point and the distribution area of effective matching point and other information, with the advantages of fast and accurate.

This application relates to a method and related system for processing cross-domain heterogeneous data of a digital twin of an enterprise management building, including: acquiring a standard semantic library of the digital twin of the enterprise management building; receiving cross-domain heterogeneous process data from different management systems; acquiring system prompt words of a large language model; inputting the system prompt words and cross-domain heterogeneous process data into the large language model to obtain a business process model file output by the large language model; parsing the business process model file and extracting the node attributes of each process node from the business process model file; mapping the node attributes of each process node to the standard definitions and standard expressions corresponding to each management atom in the standard semantic library, so as to complete the semantic fusion of cross-domain heterogeneous process data from different management systems. The above method can automatically parse and transform cross-domain heterogeneous process data from different management systems into a unified standard format, thereby realizing the semantic fusion of cross-domain heterogeneous process data from different management systems.

A cross-view image retrieval method for unmanned aerial vehicle navigation, comprising the following steps: step one, first enhancing the image, step two, based on the ConvNeXt network for cross-view image retrieval for unmanned aerial vehicle navigation, multi-scale feature extraction is performed on the enhanced image; step three, multi-dimensional feature fusion is performed based on an attention mechanism; step four, after multi-dimensional feature fusion, the loss value is calculated, and a detection model is obtained based on the determined weight to perform image retrieval; through the multi-scale feature convolution and multi-dimensional feature fusion technology, the technical problems of insufficient matching precision and poor retrieval robustness caused by the differences in view, scale and structure between satellite images and unmanned aerial vehicle images are solved; the application also includes a system, a device and a medium for implementing the above method.

This invention discloses an initial frequency identification method for a frequency conversion wireless charging system. The method comprises: S1, power-on initialization; S2, signal acquisition and processing; S3, timing value capture; S4, waveform type identification and phase angle calculation; S5, initial frequency identification and adjustment. Steps S2 to S5 are repeated until the switching frequency is adjusted to a preset range and meets the soft-switching conditions, thus completing the initial frequency identification. This invention relates to the fields of power electronics and wireless charging technology.

This application discloses an image matching method, apparatus, device, storage medium, and computer program product, relating to the fields of artificial intelligence and data processing technology. The method includes: identifying a first image and a second image respectively to obtain n objects in the first image and m objects in the second image, where n and m are positive integers; matching the descriptive term sets corresponding to the n objects and the descriptive term sets corresponding to the m objects respectively to obtain a first matching result between the first image and the second image; wherein, the descriptive term set corresponding to each object contains descriptive terms used to describe the features of the object, and the first matching result is used to characterize whether there are identical objects in the first image and the second image. This application, by supporting image-level object matching, reduces the mismatch rate of objects compared to one-to-one object matching because it comprehensively considers the matching degree between various objects, thereby improving the object matching accuracy.

This invention discloses an optimized scheduling method for virtual power plants with multiple resource types, belonging to the field of virtual power plant technology. This method aims to solve the technical challenges of delayed scheduling response due to the strong volatility of distributed resource output, insufficient adaptability to multiple scenarios, and weak distribution network resilience under renewable energy access. The method establishes a multi-resource power adjustable range model based on real-time data, uses linear scaling and displacement algorithms to generate aggregated power domain boundaries, and adjusts the weights according to the different target types of the virtual power plant. It combines ridge regression conditional expectation correction and sub-Bruker optimization to construct a dynamic risk budget, optimizing generation plans and reserve capacity in the day-ahead phase. In the real-time phase, it responds in stages according to power deviation levels, triggering rapid energy storage compensation or emergency interruption of controllable loads. The model parameters are iteratively corrected through a closed-loop feedback mechanism. This method significantly improves the response accuracy and reliability of virtual power plants in frequency regulation, peak shaving, and self-balancing scenarios.

The utility model provides a reinforcing rib profiling die which comprises an upper die assembly, a lower die assembly and a lower die assembly, the upper die assembly comprises an upper die mounting plate, and the lower surface of the upper die mounting plate is connected with at least two upper pressing dies; the lower die assembly comprises a lower die base, the top of the lower die base is connected with a lower die mounting plate, the upper surface of the lower die mounting plate is connected with lower pressing dies in one-to-one correspondence with the upper pressing dies, and the lower pressing dies are provided with first positioning pins for positioning a workpiece to be machined; the guide assembly comprises a guide sleeve connected to one of the upper die assembly and the lower die assembly, and a guide column connected to the other one of the upper die assembly and the lower die assembly. Through precise matching of the male die and the female die, a pressed part has the advantages of being high in size precision and high in quality reliability, and the production efficiency is improved.

The application provides a multi-image array splicing method for large cement prefabricated components, and the splicing method comprises the following steps: step one: collecting original images of the cement prefabricated components, dividing the original images into regions, and adjusting the gray scale of each region to obtain preprocessed images; step two: searching for feature points between every two adjacent images in each row in the images, identifying and extracting key feature points in the images through a SIFT algorithm, and then matching the key feature points of the adjacent images through a KNN algorithm to determine the relative position relationship between the key feature points; step three: searching for feature points between every two adjacent images in each column and matching the feature points; and step four: calculating the boundary positions of each image in the splicing area, and then splicing. The application realizes high-precision splicing of the cement prefabricated components, can effectively improve the shape detection precision of subsequent cement components, and improves the product detection quality.

The invention relates to the field of computer vision and image processing, discloses a rock mass point cloud registration method based on convex-concave features, and solves the problems that an existing rock mass point cloud registration method is unstable in feature extraction, weak in descriptor distinguishing capability and insufficient in registration precision and robustness in a complex scene. According to the scheme, the improved RNRLC algorithm is used for extracting the concave-convex feature points of the surface layer of the rock body, and the stability of the key points under the condition of uneven noise and density is ensured; then, establishing a local coordinate system by taking each concave-convex feature point as a center, calculating a neighborhood direction point signature histogram descriptor of the local coordinate system, and introducing a concave-convex weight in an interpolation voting process, so as to enhance the sensitivity and stability of the descriptor to geometric structure difference; thirdly, comprehensively evaluating the matching confidence coefficient according to the Euclidean distance of the descriptor vector and the cosine similarity, and screening out an initial corresponding point pair; and finally, adopting an RANSAC (Random Sample Consensus) algorithm to eliminate wrong matching and estimate a rigid body transformation matrix, and applying the rigid body transformation matrix to rock surface source point cloud data to realize high-precision registration.

The invention provides a dual-tree collaborative HS coding intelligent matching method and device. The method comprises the steps of performing standardization processing on commodity information, and based on the standardized commodity information and structured attribute information, retrieving from a preset HS knowledge base to generate a candidate HS code set; performing branch constraint on the candidate HS code set according to the annotation rule data to obtain at least one compliance candidate subset and a corresponding discrimination attribute missing set; for the compliance candidate subsets, calling a data-driven decision tree to score and sort candidate HS codes in the compliance candidate subsets to obtain at least one target HS code and confidence; and when the confidence coefficient is lower than a preset threshold value and the judgment attribute missing set is non-null, generating supplementary inquiry information for distinguishing candidate HS codes in the compliance candidate subset based on split judgment information of the data-driven decision tree on the compliance candidate subset. According to the method, the HS code matching accuracy can be improved, the compliance interpretability is enhanced, and the manual completion cost is reduced.

The application discloses a kind of time difference risk hedging method and device of insurance fund custody, it is related to financial risk control technical field, the method includes: creating virtual sub-account for each user and being bound with corresponding policy account one by one to realize fund physical isolation;When consumption incentive enters the custody special account, it is frozen to corresponding virtual sub-account by calling bank freezing interface and generates directional payment instruction;When daily business ends, generate custody fund flow sheet snapshot, before batch deduction of insurance company next day, pre-reconciliation is carried out to custody fund flow sheet snapshot and to-be-deducted list, and according to result, unfreezing transfer or difference processing is executed;Risk reserve pool is established simultaneously, when unilateral account is abnormal, first pay, complete account adjustment to realize error recovery after finding out reason and clearing up.The application realizes fund physical isolation by virtual sub-account binding and fund freezing directional transfer, effectively hedges the supervision and operation risk caused by fund circulation time difference, and improves the stability of fund custody.

According to the lost property finding method and device, the storage medium and the computer equipment provided by the invention, when the lost property query instruction is received, blind search of information is avoided by determining the lost property information and accurately positioning the matching data range, and the search efficiency is improved. Meanwhile, the lost article information and the feature vectors in the matching data range are matched in multiple dimensions such as article categories, time and space, appearance features and semantic description, the similarity between the lost article and the lost and found information can be considered more comprehensively, and therefore the matching hit rate is increased. Besides, the feature vectors in the lost property database are divided into public, semi-hidden and completely-hidden information according to user types for multi-level display, so that the requirement of information sharing is met, personal privacy is effectively protected, and the problem of privacy disclosure caused by public display of the details of the lost property is avoided. Finally, the feature vectors with the comprehensive matching scores higher than the preset threshold value are pushed to the query terminal, and the accuracy and reliability of information pushing are ensured.

This invention discloses an infrared hyperspectral and visible light image fusion imaging system and method, belonging to the field of image fusion technology, aiming to solve the problems of inaccurate cross-modal information matching and insufficient regional adaptability in traditional fusion methods. It includes: simultaneously acquiring infrared hyperspectral and visible light images; removing redundant bands from the infrared hyperspectral image and enhancing the edges of the visible light image; extracting common feature points to correct spatial deviations and measuring the deviation degree; identifying abnormal regions in the infrared hyperspectral image; mapping, dividing, and classifying the initial key regions of the visible light image; adjusting the feature region width based on the deviation degree; performing differentiated fusion by region; and generating a standardized fused image. This invention achieves precise and collaborative visualization of surface details and internal hidden and abnormal information of target objects, significantly improving the accuracy and efficiency of image fusion.

The application discloses a kind of rail vehicle pipe joint loosening detection method and system, belong to rail transit vehicle pipe joint detection field;The method comprises: local posture decoupling, detects pipe joint structure features and establishes local coordinate system, estimates local transformation;Marked line skeleton extraction extracts anti-loose mark line candidate area and skeleton, obtains the detected mark line track and template mark line track;Homologous track comparison, according to the boundary division fixed side, active side and cross-seam neighborhood section, template mark line track is mapped into reference mark line track, and the joint deviation feature of the detected mark line track is calculated;Loosening determination output, according to joint deviation feature and registration confidence, calculate loosening risk score, output pipe joint state result.Template image homologous reference, local coordinate system eliminates visual angle deviation, curve topological structure represents anti-loose mark line, distinguishes line drawing non-standard and real loosening, avoids false alarm and miss report, improves detection accuracy and robustness.

The application provides a seismic data processing method and device based on multiple types of prior information, and belongs to the technical field of oil and gas seismic exploration. The method comprises the following steps: based on original seismic data to be processed and corresponding well logging data, a seismic sparse representation target function coupled with multiple types of prior information is constructed, wherein the multiple types of prior information comprise low-frequency impedance prior information of the well logging data, seismic amplitude envelope prior information of the original seismic data, and support position prior information; a three-dimensional multi-channel Bayesian orthogonal matching pursuit algorithm is used to solve a maximum a posteriori probability density solution of the seismic sparse representation target function, wherein the maximum a posteriori probability density solution comprises a target reflection coefficient sequence of the original seismic data; a target wideband Ricker wavelet is obtained, and seismic data reconstruction is performed based on the target wideband Ricker wavelet and the target reflection coefficient sequence, so that target seismic data is obtained. According to the application, multiple types of prior information can be coupled to reconstruct seismic data, and the resolution of the seismic data is improved.

The application discloses a kind of short message channel intelligent matching system based on multidimensional weight distribution, specifically related to short message channel intelligent matching technical field, to solve the problem of channel matching weight mechanism rigidification, cost control extensive, insufficient sending scheduling stability in prior art, including channel hierarchical screening, dimension weight matching, cost accounting control, four big modules of dispatch execution self-healing;Through customer industry, short message type and so on attribute completes channel preliminary screening, locks available channel pool, in combination with customer subscription grade sets differentiated weight, based on cost, quality and so on multidimensional index calculates channel performance coefficient, selects optimal primary and backup channel;While constructing dynamic premium logic realizes fine pricing, quantifies channel abnormal degree by sliding window, executes gradient shunting and automatic switching, the application can realize channel accurate matching, gross profit effective guarantee and sending stability improvement, adapts to enterprise differentiation service demand.

The invention relates to the technical field of constructional engineering, and provides a personnel post matching method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring project dynamic information, personnel description information of to-be-matched personnel and post description information of to-be-matched posts; determining a personnel feature vector of a to-be-matched personnel according to the project dynamic information, the personnel description information and a plurality of pre-constructed evaluation dimensions, and determining a post feature vector of a to-be-matched post according to the project dynamic information, the post description information and the plurality of evaluation dimensions; and according to the personnel feature vector and the post feature vector, determining a matching result between the to-be-matched personnel and the to-be-matched post. According to the method, the weight of the dimension parameter can be dynamically adjusted according to the dynamic information and actual requirements of different projects, so that the matching result better fits an actual engineering scene. The one-sidedness of judgment purely depending on experience is avoided, and the accuracy and rationality of personnel post matching are effectively improved.

The embodiment of the application provides a container resource scheduling method and device based on GPU utilization, equipment and medium, the method is for each GPU in the GPU set, real-time acquisition of GPU utilization and current GPU occupation type of GPU, based on GPU utilization and preset GPU utilization threshold to determine the idle time of GPU; obtain the GPU quantity of container resource request, request GPU occupation type and request time, for each GPU, based on the idle time and the request time to determine the first idle time of the GPU, based on the first idle time and the current GPU occupation type to determine the idle state of the GPU; based on the request GPU occupation type, each GPU utilization and each idle state, each GPU is scheduled and sorted, the scheduling priority is sorted, the GPU quantity of the first GPU in the scheduling priority is sorted as the target GPU set, and the target GPU set is scheduled to the container corresponding to the container resource request based on the scheduling method corresponding to the request GPU occupation type.