12results about How to "Flexible query" patented technology

The invention discloses an electric bicycle wireless charging station data real-time storage and rapid retrieval system and method, and relates to the technical field of data processing, the system comprises a vehicle-mounted charger module, the vehicle-mounted charger module comprises a vehicle-mounted charger, the vehicle-mounted charger is directly connected with an electric bicycle battery, and the electric bicycle battery is connected with the vehicle-mounted charger module; the charging module is responsible for charging a battery of the electric bicycle and collecting charging state data of the battery; a ground wireless charging unit, wherein the ground wireless charging unit is in wireless communication connection with a vehicle-mounted charger in the vehicle-mounted charger module through LoRa; by combining real-time cache of Redis and persistent storage of SQLite, the system not only ensures high concurrent processing performance, but also ensures reliability and integrity of data, provides an API interface following a REST architecture style, supports flexible query of real-time data and historical data, is convenient for quick retrieval and integration of other monitoring, analysis and control systems, and has a wide application prospect. Redis is used for real-time data caching.

The invention discloses a data processing method and device, a storage medium, equipment and a program product. The method comprises the following steps: receiving playing behavior data from a plurality of terminals; for each piece of playing behavior data, generating a main index key for uniquely identifying the playing behavior data; corresponding auxiliary index keys are generated for at least one screenable attribute dimension contained in the playing behavior data, and an associated main index key is stored in the value of each auxiliary index key; in response to a playing record query request initiated by a client, if the playing record query request contains a screening condition for a target screenable attribute dimension, performing retrieval based on a target auxiliary index key corresponding to the target screenable attribute dimension to obtain at least one associated main index key, and obtaining corresponding target playing behavior data based on the at least one main index key. According to the method, efficient retrieval and flexible query of the playing behavior data are realized through a cooperation mechanism of the main index key and the auxiliary index key.

The invention relates to an electronic certificate relation storage and query method. The method comprises the following steps: collecting an existing electronic certificate relation log of each service; according to the electronic certificate relationship of each service, allocating a link tracking ID and a hierarchy counting ID to each electronic certificate of each service to form an electronic certificate relationship storage structure; designing a query interface based on the electronic certificate relation storage structure of each service; calling the query interface in an actual business scene, and querying the electronic certificate through the interface; the storage method of the complex electronic certificate relationship can be realized, and efficient query is guaranteed to meet business requirements.

The invention relates to a data storage and retrieval method and system, and belongs to the technical field of data processing.The method comprises the steps that the data structure of video data, the storage mode of the video data and the retrieval mode of the video data are obtained; under the condition that a storage request of the video data is received, determining a fragmentation rule based on the equipment identifier of the main document, and automatically distributing the video data to different fragmentation servers under the fragmentation rule; and under the condition that a retrieval request of the video data is received, performing retrieval from different fragment servers based on a retrieval condition. According to the data storage and retrieval method, an efficient, reliable and easy-to-expand data storage and retrieval scheme is realized through automatic fragmentation, flexible data retrieval and query, an optimized data storage structure and improvement of system integrity.

The invention belongs to the technical field of image data processing, and discloses a remote sensing image slice library image classification method, a remote sensing image slice library image classification model and an image sampling method. Comprising the following steps: separating an image in an image slice library into a background image and a target image by adopting a target and background separation strategy; extracting background features from the background image, extracting target features from the target image, and extracting overall features from the background image and the target image by adopting a contrast regularization processing method; and classifying the images according to the background features, the target features and the overall features. The problems of low image classification speed and low accuracy of the remote sensing image slice library are solved.

The invention discloses an attribute query method and device, computer equipment and a computer readable storage medium, and relates to the field of intelligent medical treatment, a user can flexibly utilize virtual attributes to perform analysis query without selecting a plurality of basic attributes, query efficiency is improved, different application scenes can be met by maintaining the virtual attributes, and user experience is improved. And the query is more flexible. The method comprises the following steps: in response to an attribute query request, obtaining a target attribute field carried by the attribute query request, determining a target attribute identifier corresponding to the target attribute field, and identifying the target attribute identifier; when it is identified that the target attribute identifier indicates that the target attribute field is a virtual attribute, querying a virtual attribute expression corresponding to the target attribute field in a database, and performing statement processing operation on the virtual attribute expression to obtain a to-be-queried statement; and executing the to-be-queried statement to obtain a target attribute query result, and sending the target attribute query result to the terminal held by the user initiating the attribute query request.

This invention proposes an interactive tree height development trend prediction method and system at the single-tree scale, relating to the fields of remote sensing information processing and forest resource monitoring. Addressing the problems of existing technologies, such as time-consuming and labor-intensive forest surveys, difficulties in large-scale implementation in areas with significant topographic relief, limited transportation, or scattered tree distribution, and challenges in meeting the needs for refined and continuous monitoring, this invention provides a technical solution at the single-tree scale. It integrates tree species information, age inversion results, and growth models, allowing users to predict the tree height development trend of target trees through spatial interaction. This enables refined analysis and dynamic management of the tree growth process. It effectively avoids the averaging problem associated with traditional plot-scale models and significantly improves the scientific rigor and accuracy of single-tree resource management and forestry management decisions.

The invention relates to an SQL statement generation method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the steps of obtaining a to-be-queried statement, and determining a historical query statement matched with the to-be-queried statement; based on an SQL statement corresponding to the historical query statement, generating first prompt information for the to-be-queried statement; performing entity identification on the to-be-queried statement to obtain a to-be-queried entity in the to-be-queried statement; aligning a to-be-queried entity in the to-be-queried statement with a preset entity in a preset data table to obtain description information of the preset entity aligned with the to-be-queried entity in the preset data table; generating second prompt information for the to-be-queried statement based on the description information; and generating an SQL statement corresponding to the to-be-queried statement according to the first prompt information and the second prompt information. By adopting the method, the requirement of manually compiling the SQL statement by a user can be reduced, and the error rate is reduced. And the accuracy and efficiency of conversion from the natural language to the SQL statement are improved.

The invention provides a vector knowledge base construction method and system based on a large model and a retrieval method.The construction method comprises the following steps that an original document is segmented to obtain a plurality of text blocks, and metadata information of the text blocks is extracted; extracting a concept entity from the text block based on a large model to form an initial concept entity; performing semantic matching and integration on the initial concept entity based on a large model to obtain a standard concept entity; establishing an occurrence association relationship between the text block and the standard concept entity; based on the standard concept entity and the original text of the standard concept entity, utilizing a large model to analyze and construct an entity map representing the semantic relationship between the entities; after the text blocks and the standard concept entities are subjected to vectorization processing, metadata information of the text blocks, the incidence relation between the text blocks and the standard concept entities and the entity maps are correlated to form a vector knowledge base. According to the method, more accurate and more intelligent knowledge management and retrieval can be realized.

The invention discloses a data processing system for obtaining labels, the data processing system for obtaining labels has comprehensive data processing capability, the system can process multi-modal data from a plurality of data sources simultaneously, such as structured data, unstructured texts, images and the like, various advanced preprocessing technologies are adopted, and the data processing capability is improved. The method includes abnormal value processing, smoothing, wavelet denoising and the like, greatly improves data quality, combines a statistical method, signal processing, image processing, natural language processing and other feature extraction technologies, can more comprehensively capture essential features of data, has high-precision and dynamically-optimized tag generation, uses an integrated learning method, and improves the accuracy of data processing. According to the method, the advantages of a plurality of classifiers are integrated, the accuracy of label generation is remarkably improved, particularly, when complex and fuzzy samples are processed, active learning and semi-supervised learning technologies are introduced, continuous optimization of labels is achieved, the label quality is greatly improved, and the requirement for manual intervention is reduced.

This utility model discloses an intelligent networking terminal and an intelligent speaker. The intelligent networking terminal includes a routing module and an Android module. The routing module includes a first USB interface, and the Android module includes a second USB interface, an Android IC unit, and a touch unit. The first USB interface and the second USB interface are connected via wired communication. The Android IC unit is electrically connected to both the second USB interface and the touch unit. The touch unit receives user setting or query commands, generates and sends query information, and the Android IC unit sends the query information to the routing module via the second USB interface and the first USB interface to operate or configure the routing module. Therefore, the routing module can be set or queried through the Android module, expanding the functionality of the intelligent networking terminal and making it more convenient and flexible to set or query the routing module, thus improving the flexibility of the intelligent networking terminal's configuration and operation.

The invention discloses an index data preprocessing method and device and a computer readable storage medium, and the method comprises the steps: receiving pre-calculation scene configuration information; obtaining index definition information and model information required by the pre-calculation scene according to the pre-calculation scene configuration information, and analyzing a data table referenced by each model in the model information to obtain data statistical information; acquiring system information; and the pre-calculation scene configuration information, the data statistical information and the system information are collected, and a data preprocessing index graph IndexGraph is constructed and generated according to a heuristic strategy. According to the index data preprocessing method, the data preprocessing index graph IndexGraph is established for index query instead of pre-calculating all dimension combinations, and one index query can be matched with the best satisfaction index or index combination, so that the balance of performance, pre-calculation cost and flexibility is achieved. And the user can also control the trade-off of the three by calculating the scene configuration information.