94results about How to "Narrow search" patented technology

The invention relates to the technical field of knowledge maps, and discloses a knowledge map searching method and system based on local semantics and global communitization, and the method comprises the steps: extracting entities and relationships thereof from a knowledge map to construct an undirected graph; the undirected graph is divided into multiple levels of community information, and a community report is obtained by generating a community information table; selecting an instance triple containing data source information from the knowledge graph, constructing an instance triple information source table, extracting IDs, names and attributes of entities, and generating an entity attribute table to obtain an entity attribute vector table; key entities in a to-be-queried question are extracted and subjected to vector representation, the similarity between the key entities and an entity attribute vector table is calculated, first N related entities are selected to generate contexts (including an entity context, a relation context, a data source context and a community context), and finally a search result of the to-be-queried question is obtained. According to the method, the information related to the to-be-queried question can be accurately retrieved from the knowledge graph.

The invention belongs to the field of robot path planning. The invention provides an improved A * path planning method based on driver guidance and dynamic map segmentation, and aims to solve the problems that an existing path planning method is high in calculation complexity and insufficient in practicability in complex terrains and large-scale maps. A Bezier curve is adopted to fit a driver guiding path, and a dynamic map cutting method is designed based on the path, so that the calculation burden of useless areas is effectively reduced. And comprehensively considering the cost of the path length, the energy consumption and the path risk, optimizing the actual cost function and the heuristic function of the A * algorithm, and smoothing the planned path by adopting a cubic spline curve. The method can improve the efficiency and practicability of path planning.

The invention provides a digital human intelligent question-answering system and method for a water affair scene, and relates to the technical field of intelligent water affair, and the method comprises the steps: an inquiry receiving module obtains a user question through a digital human; the data updating module obtains real-time water affair data and updates the extended database; the question retrieval module is connected with the intelligent question and answer model and the water affair knowledge base, semantic matching retrieval is performed in the water affair knowledge base based on the user question through the intelligent question and answer model, and a matched question is obtained; an answer matching module queries a matching answer in an answer data set of the water affair knowledge base based on the matching question; the real-time data query module queries the associated real-time water affair data in the extended database based on the matching problem, and generates a real-time data query tag; and the interaction feedback module displays the matching answer and the real-time data query tag through a digital person. According to the invention, the technical problem of low water affair knowledge propagation efficiency caused by tedious water affair knowledge acquisition modes in the prior art is solved, and the water affair knowledge propagation efficiency and propagation effect are improved.

The invention discloses a power grid power supply strategy dynamic adjustment method and system based on graph calculation, and the method comprises the steps: obtaining the operation data of a power grid in real time, updating a preset initial power grid graph model and an initial power supply strategy parameter set according to the operation data, and obtaining a power grid graph model and a power supply strategy parameter set; selecting a plurality of preselected power transmission paths in the power grid graph model according to the power supply strategy parameter set; according to a preset impedance threshold value, a power grid operation constraint condition and a reliability condition, screening a pre-selected power transmission path to obtain a plurality of optimal power transmission paths; screening the optimal power transmission path according to a preset compensation factor set to obtain a shortest power transmission path; and adjusting the current power supply strategy according to the shortest power transmission path, and controlling the power grid to execute the adjusted power supply strategy. According to the method, multiple influence factors are screened, the global optimal transmission path is ensured to be obtained, a more accurate optimization strategy basis is provided for the power grid, and the overall performance and stability of the power grid are improved.

The invention relates to the field of oil and gas structure modeling, and particularly discloses a fault plane and well trajectory intersection point positioning method based on multi-dimensional space search and data optimization. According to the method, fault data and well trajectory data are preprocessed into a 3D point cloud data set under a unified coordinate system, a k-d tree and a nearest neighbor search algorithm are utilized to quickly retrieve a minimum distance point pair between a curved surface and a curve, and local reconstruction and gridding interpolation encryption technologies are adopted to finely optimize the curved surface. The description capability of the local geometric features of the curved surface is enhanced, and accurate positioning of the intersection point of the curved surface and the curve is finally realized through multiple iterative optimization. According to the method, the geometric algorithm and the acceleration technology are combined, the calculation efficiency is improved, meanwhile, the accuracy and stability of intersection point positioning are guaranteed, and the method is suitable for curved surface intersection point calculation in complex scenes such as oil-gas exploration, underground water monitoring and geological modeling.

The invention discloses an image area identification method and device, equipment, a medium and a program product, and relates to the field of artificial intelligence. The method comprises the following steps: by taking a first text and an ith first candidate region as denoising conditions, executing a denoising process on noise data corresponding to the ith first candidate region to obtain an ith denoising result; and based on the denoising results corresponding to the plurality of first candidate areas, determining an image area conforming to the text description of the first text from the plurality of first candidate areas. The correlation degree between the image and the text is predicted by adopting a generation method, namely, the image and the text are used as denoising conditions, and correlation information between the image and the text is generated in a mode of gradually removing noise in data, so that semantic relations between visual contents of the image and the first text on different levels are gradually captured; the correlation information between the generated image and the text is more accurate, and the accuracy of the finally determined image area is further improved.

The human cost data storage method for the power grid engineering system comprises the steps that human cost data related to cost data in the power grid engineering system are acquired, and the human cost data comprise work type data, man-hour data and salary data of constructors; determining a DBSCAN clustering radius range based on the average man-hour salary of each type of work; based on a DBSCAN clustering radius range, performing clustering analysis in a man-hour-salary two-dimensional plane formed by the human cost data to obtain a preliminary classification result; when it is determined that the isolated data points exist based on the preliminary classification result, secondary classification is carried out on the isolated data points based on the distance between the isolated data points and the known clustering cluster, and a final classification result is obtained; and realizing partition storage of the cost data based on a final classification result. By implementing the method, optimized storage of the cost data of the power grid engineering system can be realized.

The invention relates to the technical field of sports science and technology, in particular to an AI-based football testing method and system, which comprises the following steps of: training a data set by constructing a plurality of decision trees by adopting a random forest algorithm on the basis of historical match data, randomly selecting a feature subset, and determining an optimal tactical scheme through a voting mechanism, and analyzing the relationship between the tactical effect and the winning rate of the team, and generating a tactical effect and winning rate correlation analysis result. According to the method, historical competition data are deeply analyzed through the random forest algorithm, the complex relation between the strategy effect and the winning rate is revealed, data support of strategy decision is enhanced, the Bayesian network optimizes role allocation according to part of technical characteristics and historical performance, team performance is improved, and a nonlinear dynamic model theory analyzes option and strategy interaction. The enhanced deep learning method adapts to match changes through a deep neural network, and the strategy and configuration flexibility and the ability of the whole queue to cope with complex match conditions are improved.

The invention discloses an aerial target tracking method and device, a medium and a product, and relates to the technical field of target tracking, and the method comprises the steps: obtaining a video sequence of a tracking target from a preset historical moment to a current moment; extracting initial feature information; acquiring position information of a tracking target; cutting the tracking frame image by taking the position information of the tracking target as a center to obtain a search area; extracting visual feature information of the search area; determining the historical motion information and the visual feature information as first input information; determining the initial feature information and the visual feature information as second input information; inputting the first input information and the second input information into a self-attention mechanism neural network model to obtain tracking frame position information of the tracking target; and traversing all tracking frame images to obtain the position information of the tracking target at the next moment. The method can improve the tracking accuracy of the aerial target, and solves the tracking problem under the condition that the aerial target is shielded.

The invention provides a financial data processing method and device, electronic equipment and a storage medium, belongs to the technical field of data processing, and is suitable for the field of financial science and technology. The method comprises the following steps: acquiring a financial virtual resource demand total value and an original interest rate under fixed period supply; obtaining financial virtual resource data of the financial virtual resource demand total value in multiple months in a fixed period, and determining a target virtual resource total value based on the multiple pieces of financial virtual resource data; in each cycle process, performing halving processing based on the current search interval to obtain an intermediate interest rate in the corresponding search interval, and generating a corresponding estimated virtual resource total value according to the intermediate interest rate in the current search interval and the financial virtual resource demand total value; and when a difference value between the estimated virtual resource total value and the target virtual resource total value meets a cycle stop condition, obtaining a target interest rate under fixed period supply based on the intermediate interest rate in the last search interval. The accuracy of actual interest rate calculation can be improved.

The invention provides a welding robot welding path optimization method and system based on an improved ant lion optimization algorithm, and relates to the technical field of welding robot path optimization. Acquiring a preset data set to generate map coordinate information; performing algorithm parameter initialization according to the map coordinate information; determining an optimal initial solution in combination with an ant colony algorithm; taking the optimal initial solution as an initial path of an ant lion and generating a first path through a random walk strategy; introducing a selfish flock algorithm and determining an optimal welding path according to the survival value factor and the attraction factor; judging whether the maximum number of iterations is reached currently or not; a dynamic step size adjustment strategy is introduced to adjust algorithm parameters, and an optimal initial solution is determined; if it is judged that the maximum number of iterations is reached, the current optimal welding path serves as an output result. And an attraction factor and a survival value factor are introduced for path adjustment, a step length factor is dynamically adjusted, the search range is gradually reduced, local optimum is avoided, and refined search of the welding path is achieved.

The invention discloses an intelligent filtering method and system based on deep learning, and relates to the technical field of data filtering. The technical problem that when an intelligent optimization algorithm is used for filter parameter optimization, optimization performance and calculation efficiency conflict with each other is solved. Obtaining interference control instruction data; extracting individuals passed by each piece of data in the later stage of optimization; after the data are classified, optimizing later-stage individuals corresponding to the same type of data are combined to obtain various types of sub-search spaces; and after the filtering control instruction data is classified, the sub-search spaces are called to carry out filter parameter optimization. The method comprises the following steps of: extracting partial filtering parameters of which the filtering effect of an individual focusing on interference control instruction data is close to the optimal in the later stage of optimization; the individuals in the later stage of optimization are combined to obtain the sub-search spaces independently belonging to various types of data, and when the to-be-filtered control instruction data is processed, only the corresponding sub-search spaces are searched, so that the search range is reduced, and the search performance is improved.

The embodiment of the invention discloses a commodity searching method and electronic equipment, and the method comprises the steps that after a commodity searching request input by a first user is received, an interaction area is provided in a commodity searching result page, the interaction area is used for providing a plurality of decision parameters, part or all of the decision parameters are associated with parameter value options, and the parameter value options are selected from the parameter value options; the decision parameters displayed in the interaction area comprise a part of professional decision parameters related to commodity batch purchase or customization in the category or industry to which the currently searched commodity belongs; the professional decision parameter is generated by an artificial intelligence (AI) large model through reasoning and analyzing commodity information and / or user behavior data of the category or the industry; and after a parameter value setting result of the first user for the plurality of decision parameters is received, updating a commodity search result. Through the embodiment of the invention, the user can be more effectively helped to obtain a more accurate search result.

The invention provides a bisection-method-based periodic freezing and quick access method for an intelligent instrumented electric energy meter, and solves the problems of large data volume and long data reply time of the electric energy meter. The service life of the EE is prolonged, the time for reading frozen data of the electric meter is shortened, the response speed and stability of the electric meter are improved, and the satisfaction degree of customers is increased.

The invention relates to a long-horned beetle natural enemy injection device and a using method thereof, and belongs to the technical field of long-horned beetle control, the long-horned beetle natural enemy injection device comprises a traction rod, a natural enemy storage pipe, a ventilation cover and filling glue, the ventilation cover detachably covers the open end of the natural enemy storage pipe, and the traction rod can movably penetrate through the connecting end of the natural enemy storage pipe; the traction rod is used for being inserted into a trunk boring hole and reserving a communication channel, the filling glue is arranged between the connecting end of the natural enemy storage pipe and the periphery of the trunk boring hole, and the filling glue is used for seamlessly sealing and bonding the traction rod, the connecting end of the natural enemy storage pipe and the periphery of the trunk boring hole. The long-horned beetle worm hole is positioned through the traction rod, a communication channel of the natural enemy and the worm hole is reserved, seamless sealing bonding of filling glue is matched, the natural enemy storage pipe and the worm hole are communicated to form a closed parasitic space, the search range of the natural enemy is greatly reduced, the natural enemy is forced to make contact with long-horned beetles in the worm hole, and therefore the parasitic efficiency and the prevention and control speed of the natural enemy are improved. The green prevention and control requirements of forest and fruit industries are met.

The invention provides a parameter determination method for improving the efficiency of methyl oleate epoxidation reaction, which belongs to the technical field of methyl oleate epoxidation reaction, and comprises: collecting multiple groups of small-scale test data of methyl oleate epoxidation reaction; analyzing the small-scale test data by using a Bayesian optimization algorithm to obtain the correlation coefficient between each reaction condition parameter and the reaction efficiency data, and clustering according to the correlation coefficient to obtain key parameters, secondary parameters and micro-influence parameters; establishing a training data set, and training to obtain a two-way model of methyl oleate epoxidation reaction; discretizing a preset reaction efficiency requirement range, and inputting it into the model to obtain a reaction condition parameter set; using a genetic algorithm to use a to-be-selected reaction condition parameter set as an initial population, and iteratively optimizing to obtain target reaction condition parameters that meet the requirements; screening out a seed reaction condition parameter set; designing an orthogonal experiment to obtain an experimental data set, and selecting the reaction efficiency that is most similar to the preset target as the optimal reaction condition parameter.

The present application discloses a VVC multi-directional motion refinement optimization method based on a Merge mode from the VVC inter prediction with a Merge process with a motion vector difference, which only has a small part of coding units (CUs) to search in a large step, and fails to consider the multi-directionality of the motion in the actual process. First, the first two MV information in the extended Merge candidate list is selected as the initial MV, and is expanded from four step lengths and eight directions; it is judged whether the current step length index is greater than 1, if yes, skip the chroma block motion compensation and the bi-directional optical flow prediction mode; otherwise, skip the chroma block motion compensation, and after the optimal Merge mode is obtained, entropy coding is carried out. Compared with the VVC coding standard, the average bit rate of Y, Cb and Cr is saved by 0.57%, 0.62% and 0.25% respectively by the VVC multi-directional motion refinement optimization method based on the Merge mode.

The present application relates to the technical field of image processing, and provides an image edge fitting method, an electronic device and a storage medium. A user sets a line segment close to an edge of an object in an image to determine an image edge processing area, and generates an area of ​​interest according to the line segment set by the user, thereby eliminating interference from unnecessary areas; by filtering out edge points in the area of ​​interest, the search range for finding edge points can be effectively reduced, thereby improving the efficiency of edge fitting; by re-filtering the edge points to obtain fitting points, the influence of interference points is further eliminated, so that the edge fitting algorithm only needs to process meaningful data, thereby further improving the efficiency and quality of edge fitting, and finally by edge fitting the fitting points, a line segment for characterizing the edge of the object in the target image is obtained.

The invention discloses a DPE / INS quasi-deep combination method and system in a GNSS navigation domain, and the method comprises the steps: collecting a GNSS digital intermediate frequency signal through a hardware platform radio frequency front end of a GNSS receiver, inputting a local signal and the digital intermediate frequency signal into a correlator after determining a parameter search range of a local copied signal, and obtaining a PVT estimation result and covariance of a DPE receiver through maximum likelihood estimation; meanwhile, the PVT estimation result and covariance of the INS at the current moment are calculated through inertial navigation calculation, and the PVT estimation result and covariance of a DPE / INS combined system are obtained through combined filtering of the PVT estimation result and covariance of the DPE receiver and the INS and used for determining the parameter search center, the search range and the search step length of a local copy signal of the DPE receiver; a series of local replication signals are then determined. According to the method, the function of the INS sensor in the navigation domain of the DPE receiver is determined by utilizing the characteristic that the INS is not interfered by the environment, an interaction mechanism of the INS auxiliary information in the related domain and the navigation domain is established, and the interaction mechanism is named as a quasi-deep combination according to the characteristics of the architecture, so that the DPE receiver is effectively helped to narrow the search range and improve the precision.

The invention belongs to the technical field of energetic materials, and particularly discloses a high-throughput design method for a crystal structure of a ternary nitrogen-rich energetic material under high pressure, which is characterized in that specific dominant element components of the ternary energetic material are constructed based on an electronic counting rule, and a dominant structure search method is established in a structure search framework. Comprising the following steps: determining search components; searching a structure; calculating a convex hull graph; evaluating energy density and mass density; structure screening; evaluating the stability; analyzing an electronic structure; and evaluating detonation performance. According to the high-throughput design method for the crystal structure of the ternary nitrogen-rich energetic material under the high pressure, the search range is greatly narrowed in an extremely large search space phase of a ternary compound, the search precision and the search efficiency under specific proportioning components are improved, and the high-throughput design method for the crystal structure of the ternary nitrogen-rich energetic material under the high pressure is realized. And the crystal structure design time cost and the computing resource cost of the ternary nitrogen-rich energetic material are greatly reduced.

The invention discloses a graph matching method and device, equipment and a medium, and relates to the technical field of graph matching, and the method comprises the steps: carrying out the anchor point marking of a to-be-matched target graph, so as to obtain a plurality of anchor point graphs of the to-be-matched target graph; shape information of each anchor point graph and relative coordinates of each anchor point graph relative to the initial anchor point graph are extracted; marking a target pattern which is the same as the initial anchor point pattern in a preset graphic layout to obtain a marked graphic layout; taking each target pattern in the marked graphic layout as a matching reference point, and sequentially carrying out anchor point graph search matching on the matched marked graphic layout according to the relative coordinates, the shape information and an anchor point matching sequence until all anchor point graphs are matched, so as to obtain a final marked graphic layout; and performing mode matching of the target graph to be matched in the anchor point marking area of the finally marked graph layout to obtain a corresponding matching result. Through the scheme, quick matching of the graph and the layout is realized.

This invention discloses a page-turning method, system, electronic device, and storage medium based on the binary search method, improving page-turning efficiency and user experience in scenarios with a large number of pages. The method includes: page-turning preprocessing: including setting intermediate variables to identify the page search range and the current page; initializing the page-turning interval and button availability: determining the overall page range of the data matrix, establishing an initial search interval, and setting the initial availability of the "forward" and "backward" buttons according to the initial page situation; iteratively executing page-turning operations and updating the search interval: the user triggers intermediate page calculation by clicking the "forward" or "backward" button, updates the search interval according to the positional relationship between the target page and the current page, and repeats this process until the target page enters the page-turning display bar; when the page-turning termination condition is reached, the iteration stops, the target page is located, and the page-turning process is terminated; the page-turning result is output, and the status of the "forward" and "backward" buttons is adjusted according to whether the page-turning boundary or upper limit has been reached.

This invention belongs to the field of license plate detection technology and relates to a license plate detection method based on a collaborative learning mechanism among license plate images. It leverages the strong consistency among license plate detection images in a dataset and employs an inter-scale collaborative attention mechanism to learn the consistency between the output features of different network layers in different license plate detection images. This ensures the interactivity of license plate features during the feature extraction stage, enabling the sharing of common features. Then, a semantic collaborative attention mechanism is used to learn the consistency between the high-level output semantics of different license plate detection images, allowing the network to narrow the search range of license plate features based on semantic features. Finally, a semantic-scale collaborative learning mechanism fuses the relationships between the network's semantic context, improving the accuracy of license plate detection in complex scenes. This method can be used not only for license plate detection in complex scenes but also for object segmentation and detection in complex scenes.

The invention discloses a video stabilization method based on inertial measurement unit data and feature point matching, and relates to the technical field of image processing, and the method comprises the following steps: estimating a compensation parameter according to IMU data, calculating a compensated image relative to a previous frame image based on the compensation parameter, and reselecting N feature points from the compensated image as reference feature points; according to the current frame of image and the last frame of compensated image, feature point matching is carried out in the IMU estimated feature point deviation range, whether the matched feature point pair is larger than N or not is judged, if yes, traversal fine tuning is carried out on the IMU data estimated compensation parameter, the fine tuning parameter corresponding to the optimal GSAD is selected to calculate the final transformation parameter, and the final transformation parameter is obtained. If not, using the IMU data estimation compensation parameter as a final transformation parameter; transforming the current frame image according to the final transformation parameter to obtain a compensated current frame image; the video stabilization method realizes stable video transmission.

The invention relates to an express item video positioning method, computer equipment, a computer readable storage medium and a computer program product, which can be applied to the technical field of logistics. The method comprises the following steps: in response to a trigger operation for an abnormal event, determining a camera end identifier corresponding to a target express according to logistics routing information of the target express; according to a shooting time identifier in the unstructured information of the target express, determining a shooting time period corresponding to the shooting end identifier; obtaining candidate image feature vectors from an express feature database of a cloud system according to the camera end identifier and the camera time period; determining a target image feature vector of the target express item from the candidate image feature vectors according to similarity information between the reference image feature vector and the candidate image feature vectors; and positioning a target video of the target express item from the express item video according to a target camera terminal identifier and express item positioning information associated with the target image feature vector. By adopting the method, the express video positioning efficiency can be improved.

The invention discloses an image imaging processing method and system, electronic equipment and a storage medium, and relates to the field of image processing. The method comprises the following steps: acquiring image data through a preset sensor, and judging whether a pattern scanning instruction sent by a user is received or not; when a pattern scanning instruction sent by a user is not received, performing imaging processing on the acquired image data, calculating the offset of a first pattern after imaging from a preset center position, and determining whether a preset rapid positioning condition is met or not according to the offset; when a preset rapid positioning condition is met, determining a target area according to historical appearance position information of the first pattern, and performing feature comparison in the target area to position the first pattern; and correcting the first pattern according to the offset. By implementing the technical scheme provided by the invention, the precision and efficiency of image processing, especially the pattern recognition and positioning capability in a complex environment, are improved.

The application provides a train operation scheme compiling method and device based on a distributed robust chance constraint model, and the method comprises the following steps: taking the number of trains in a direct process as a decision variable, and constructing a distributed robust chance constraint model for train operation scheme compilation with the target of minimizing operation cost; the distributed robust chance constraint model is converted into a mixed integer linear programming model through linearization; the optimal value under the planning of a deterministic problem is calculated according to the passenger demand sample under the worst distribution, and an initial feasible solution is obtained according to the optimal value, wherein the initial feasible solution is used for representing the upper bound of the feasible region of the mixed integer linear programming model; the mixed integer linear programming model is solved according to the initial feasible solution, and a train operation scheme is obtained. In the case that the passenger demand cannot be accurately estimated, the method can still meet all passenger demands with a given probability, and realizes the fast and accurate compilation of a train operation scheme meeting the passenger demand.

This application discloses a search method and related apparatus. Based on acquired search terms, a search filtering tool is displayed, providing filter items that match the search terms. These filter items reflect the user's search preferences. Then, a target filter value is set to obtain the final degree of search preference. Based on the search terms and the target filter value, a target search result matching the user's search preferences is determined and provided to the user. This solution significantly narrows the search scope, greatly reducing the user's workload in judging search results, providing more accurate results, reducing time consumption, and improving search efficiency and experience.

The present invention relates to the field of industrial Internet technology, and in particular to a data simulation system and method based on the industrial Internet, the system comprising: an acquisition module generates a three-dimensional workpiece actual model according to a scanning result of a workpiece; a first locking unit compares initial workpiece information with standard workpiece information, and preliminarily locks a standard model in a standard model library to obtain a number of three-dimensional workpiece models to be calibrated; a second locking unit compares the initial workpiece information with the model to be calibrated and performs secondary locking to obtain a three-dimensional workpiece final model; an orientation unit marks the direction according to the comparison of the axis between the actual model and the final model, and determines the deviation; a collaborative service end determines whether the workpiece is a part to be assembled, and marks the workpiece based on the fact that the workpiece is a part to be assembled; a control module determines the placement posture of the part to be assembled, or the way to grasp the part to be assembled, according to the deviation. The present invention improves the accuracy of the workpiece simulation result.

The invention provides a quick indexing method and device based on an improved B-tree search algorithm. The method comprises the following steps: endowing a color attribute according to a keyword type attribute of each node in any tree data structure; and establishing an index of a link between the current node and the next node with the same-color keyword, the index comprising an index value, and the index value being a keyword or being null. According to the method, most of the search nodes in the system are limited in the same attribution group, so that if different colors are added to each object to express the attribute value, the search range can be narrowed in the nodes with the keywords with the same color, the search order of the B search tree is reduced, and the search efficiency is improved. The search efficiency of the keywords in the nodes of the B search tree is improved, and unnecessary search is reduced.