12results about How to "Implement search" patented technology

The invention relates to a book content retrieval method and device based on intelligent word segmentation and computer equipment. The method comprises the steps of obtaining a word segmentation result of a newly added book, and performing block processing on the word segmentation result to obtain a plurality of blocks; obtaining an extraction type abstract of each block, adjusting the original prompt template according to the extraction type abstract to obtain a first semantic extraction prompt template, and performing semantic extraction on each block by utilizing the fine-tuned local semantic extraction large model and the first semantic extraction prompt template to obtain an output text of each block; obtaining a generative abstract of the newly added book, constructing a second semantic extraction prompt template according to the generative abstract and the original prompt template, inputting the output text of each block and the second semantic extraction prompt template into a global semantic extraction large model, outputting a semantic introduction of the newly added book, and storing the semantic introduction into a semantic introduction library; and performing retrieval in the semantic brief introduction library according to the user retrieval statement. By adopting the method, the efficiency and accuracy of intelligent retrieval can be improved.

The invention provides a scheduling method for a ship segmented storage yard based on a genetic simulated annealing algorithm, and the method comprises the steps: combining a genetic algorithm with a simulated annealing algorithm to obtain the genetic simulated annealing algorithm, employing the genetic simulated annealing algorithm to achieve the global search of an optimal solution through the selection, crossover and mutation operation of the genetic algorithm, and achieving the scheduling of the ship segmented storage yard. And local search of the optimal solution is realized by using a simulated annealing algorithm. The working efficiency of dispatchers is improved, and the requirement for the experience of the dispatchers in the ship segmented storage yard dispatching process is lowered.

The embodiment of the present invention provides a pathfinding method and apparatus, device, and medium based on a game scene. The method includes: in response to a pathfinding instruction issued to an application, obtaining a target position from the pathfinding instruction, and determining a target scene area where the target position is located; obtaining transmission point information corresponding to the target scene area from a transmission information table, wherein the transmission point information corresponding to each of a plurality of grids is stored in the transmission information table; and executing the action logic corresponding to the pathfinding instruction based on the transmission point information corresponding to the target scene area. By directly obtaining the transmission point information corresponding to the target scene area from the transmission information table, the method can not only avoid a large amount of calculations generated in each pathfinding process, greatly improving the transmission point search efficiency, but also avoid the problem of a sharp increase in the complexity of the transmission point search due to an increase in the number of transmission points, so that the number of transmission point configurations in the game scene map is not limited, and the transmission point configuration is more flexible.

The application relates to the photovoltaic power generation technical field, in particular to a photovoltaic equipment search method, a management module, a photovoltaic system and a storage medium, the method comprises the following steps: sending a first photovoltaic equipment search instruction to each photovoltaic equipment; based on a first receipt signal sent by a photovoltaic equipment which successfully competes for the first photovoltaic equipment search instruction, determining a first photovoltaic equipment in each photovoltaic string and realizing the search of the first photovoltaic equipment in each photovoltaic string, the first photovoltaic equipment is used for determining a second photovoltaic equipment located in the same photovoltaic string; based on the first photovoltaic equipment, sending a second photovoltaic equipment search instruction to each photovoltaic equipment to realize the search of the second photovoltaic equipment in each photovoltaic string; wherein the second photovoltaic equipment located in the same photovoltaic string as the first photovoltaic equipment participates in the competition. The application only searches the second photovoltaic equipment located in the same photovoltaic string, and the search efficiency is improved.

The invention relates to the technical field of computer processing, and discloses an image acquisition method and device, electronic equipment, a storage medium and a program product, and the method comprises the steps: carrying out the preprocessing of a to-be-selected image, and obtaining the metadata and semantic vector of the to-be-selected image; receiving an image acquisition instruction, wherein the image acquisition instruction comprises description information for image acquisition; performing semantic analysis on the description information to obtain image meta-information and image semantic information; matching the image element information with the metadata of each to-be-selected image to obtain a first image set; matching the image semantic information with the semantic vector of each to-be-selected image to obtain a second image set; and performing image screening based on the intersection of the first image set and the second image set to obtain a target image matched with the description information. According to the method and the device, cross-modal semantic matching is realized, the search from the description information to the target image is realized, and the search efficiency for the image is improved.

The invention relates to air conditioning equipment and a control method thereof. The controller of the air conditioning equipment is configured to create a first set and a second set; determining a new second set based on the fitness value of each parameter value combination in the first set and the second set; performing genetic manipulation processing based on the new second set to obtain a new parameter value combination, and adding the new parameter value combination to the new second set; integrating the first set into the new second set to obtain a new first set, and returning to the step of determining the new second set based on the fitness value of the combination of the parameter values in the first set and the second set until a preset maximum number of iterations is reached; and the parameter value combination with the maximum fitness value is selected from the new first set and the new second set to serve as a target parameter value combination, and air conditioner operation parameters of the air conditioner equipment are adjusted according to the target parameter value combination. The optimization effect of the performance indexes of the air conditioning equipment is improved.

The present invention discloses a method and device for reverse design of a high-sensitivity impact test sensor, the method comprising: determining the structural geometric parameters of a unit cell of the impact test sensor, including ligament length, ligament thickness, intermediate circular node radius and horseshoe radius, and determining the corresponding structural equivalent strain; arraying different unit cells to obtain different impact test sensors, and determining the performance parameters of the sensors, including sensitivity, acceleration and peak pressure; constructing a sensor deep learning model, taking the structural parameters of different impact test sensors as input and the corresponding performance parameters as output; the structural parameters include structural geometric parameters and structural equivalent strain; setting the target performance parameters of the impact test sensor, combining the sensor deep learning model, and using the whale optimization algorithm to reversely design the impact test sensor to obtain the optimal structural parameters. The present invention combines deep learning and the whale optimization algorithm to reversely design the impact test sensor.

This invention provides a searchable encryption method, apparatus, device, storage medium, and program product. The method includes: responding to a search trapdoor submitted by a data access tenant, determining a keyword in the search trapdoor; determining whether a matching ciphertext exists based on system public parameters, the keyword, and the trapdoor component of the search trapdoor; determining that a matching ciphertext exists, and sending the intermediate ciphertext corresponding to the ciphertext to the data access tenant, so that the data access tenant can access the data corresponding to the ciphertext according to the data access tenant's tenant key; the search trapdoor is obtained based on the keyword of the data to be accessed by the data access tenant, system public parameters, the data access tenant's tenant key, and the data access tenant's attribute vector; the ciphertext is obtained based on the keyword of the data to be shared by the data sharing tenant, the access vector of the access policy, system public parameters, and offline ciphertext.

The present invention relates to an intelligent search method for power data based on resource graph, comprising the following steps: S1: integrating power data from different systems, cleaning the data, and unifying the data format; S2: using Stanford NLP and BERT to identify entities, and using a relationship extraction algorithm to establish relationship mapping between entities; S3: using a graph database to store knowledge graphs, mapping entities to nodes, mapping relationships to edges, and establishing multiple types of indexes; S4: converting natural language queries into graph database query languages ​​such as Cypher, and using the index of the graph database to cooperate with a cache strategy to accelerate query execution; S5: based on the established multiple types of indexes, using a query pattern prediction model to predict query patterns and dynamically adjust indexes; S6: adjusting result sorting based on user history and context information, and performing semantic reasoning to expand query results according to the semantic concepts and hierarchical structures of the knowledge graph. The present invention effectively improves the query efficiency on large-scale power multi-source data sets.

The utility model discloses a 5G-A sensing fusion accurate positioning data acquisition terminal, which comprises a communication module, a positioning module, a data acquisition module, a processing module and a power supply module, the communication module is a 5G-A chip; the positioning module comprises a satellite positioning chip and an accelerometer; the data acquisition module comprises a temperature sensor, a carbon monoxide sensor, a thermal imaging sensor and a multispectral camera; the processing module is an MCU chip and is used for processing the positioning signals and the collected data. The acquisition terminal disclosed by the utility model can realize forest fire searching, observation and positioning, and has the advantages of accurate observation result, low false alarm rate and high positioning precision.

In order to solve the problem that the existing point cloud processing methods and methods for adjusting the measurement viewing angle are difficult to eliminate abnormal areas in the measurement point cloud of thin-walled complex curved surface components in a universal, fast and low-cost manner, the present invention proposes a method for extracting contour light stripes from the line laser light strip image of thin-walled complex curved surface components. The present invention guides the search for contour light stripes based on the continuity of the contour line of the measured contour of the thin-walled complex curved surface component, formulates a strategy for first locating the first key column position, the second key column position and the search starting point of the contour light strip, and then establishes the search direction and search area. In the process of searching for contour light strips area by area along the search direction, a sliding search window with a size and position that meets specific requirements is set in the image column direction to avoid searching for abnormal light strips, thereby realizing the segmentation of contour light strips and abnormal light strips, and ensuring the accurate extraction of contour light strips. Compared with the processing of point cloud data, the present invention is simpler and more efficient, and has lower requirements on computer performance.

The application provides a community searching method and device based on maximum clique search on uncertain graph, and relates to the field of data processing.The method comprises the following steps: obtaining an initial graph corresponding to a social network to be processed; determining reference values of each vertex in the initial graph; deleting vertices with reference values not greater than heuristic solution values in the initial graph to obtain a vertex set corresponding to the heuristic solution values, and determining an intermediate subgraph based on the vertex set; performing multiple search operations on each vertex in the intermediate subgraph, determining a target subgraph with the largest number of vertices based on candidate subgraphs obtained through the search operations, and ensuring that there is an edge between any two different vertices in the target subgraph and the product of the existence probabilities of all edges is greater than a preset probability value; and determining a target social user community in the social network to be processed based on the target subgraph.The application can search for a social user community based on uncertain correlation data between social users.