123results about How to "Quick search" patented technology

The application discloses a three-dimensional model fast retrieval method, equipment and medium, and relates to the computer technical field. The method comprises the following steps: in response to receiving a part of a two-dimensional sketch of a three-dimensional model drawn by a user, performing image segmentation on the part of the two-dimensional sketch to obtain a plurality of sub-images; performing mapping processing on each sub-image to obtain an initial feature corresponding to each sub-image, and performing attention calculation on the initial features corresponding to the plurality of sub-images to obtain a plurality of first key features; fusing the plurality of first key features to obtain a second key feature corresponding to the part of the two-dimensional sketch; based on the second key feature, performing similarity matching on a feature database to obtain a plurality of target features, and searching a three-dimensional model set corresponding to the plurality of target features from a three-dimensional model database. In this way, the target three-dimensional model meeting the design intention of the user can be quickly and accurately retrieved according to the part of the sketch of the model drawn by the user, so that the design efficiency and the user experience are significantly improved.

The invention discloses a computer data management system and method, and relates to the technical field of data management, and the method comprises the steps: reading a heterogeneous data set, dividing the heterogeneous data set into text, time sequence and binary data groups according to data types, extracting a core field of each data group, and generating a deduplication feature and an index feature, setting a sliding window based on the data type and generating a window index feature abstract; calculating a comprehensive similarity score between the data blocks according to the sliding window, screening a similar data block set, determining a reference data block and a redundant data block, clustering the reference data block to generate an initial cluster, and if the global deduplication rate and the clustering preprocessing validity do not meet preset conditions, re-initializing the sliding window; according to the method, the cluster structure is optimized and the cluster feature abstract is generated based on the retrieval popularity predicted value of the initial clustering cluster, the three-layer index structure comprising the global index, the intra-cluster index and the feature index is constructed, the retrieval efficiency is tested, the index hierarchy is optimized, and the storage efficiency and the retrieval performance of heterogeneous data management are remarkably improved.

The application discloses a simulation analysis method for oil-gas collaborative combustion based on a subcritical boiler load working condition and relates to the technical field of data analysis.The application realizes the query and determination of the ignition delay time by establishing a three-dimensional model of the boiler and local grid segmentation, setting parameters and constructing a gas delay table and an oil delay table, simulates the interruption of natural gas supply, actively increases the oil pressure discrete value or reduces the oil particle discrete value according to the flame distance variation and the simulation switching time, ensures that the fuel oil flame timely replaces, finally calculates the radial deviation value of the center line of the coal powder track, optimizes the gas-coal mixing ratio by using the golden section method, and selects the candidate parameter combination with the largest volume of the high-temperature zone.The application realizes the identification and quantification of the mapping relationship between the axial deviation caused by the natural gas ignition delay and the radial deviation of the center line of the coal powder track, and finally maximizes the volume of the high-temperature zone under the premise that the deviation value is controllable by adaptively adjusting the key operation parameters and reconstructing the delay table.

This invention relates to the field of hybrid energy storage system technology, and particularly to a method and apparatus for configuring an electric-hydrogen hybrid energy storage system. The method includes: constructing a multi-objective optimization model for the electric-hydrogen hybrid energy storage system, wherein the objective function of the multi-objective optimization model is to minimize the total life-cycle loss, power loss, load fluctuation, and voltage fluctuation of the electric-hydrogen hybrid energy storage system; iteratively calculating the Pareto solution set of the multi-objective optimization model using a political optimization algorithm until the iteration termination condition is met, and outputting the optimal Pareto solution set; and calculating the optimal compromise solution of the optimal Pareto solution set using an entropy weight method with a gray target decision-making approach, thereby obtaining the optimal configuration scheme of the electric-hydrogen hybrid energy storage system. The optimal configuration scheme includes optimal installation nodes, configuration capacity, and configuration power, used to reduce the cost of configuring the electric-hydrogen hybrid energy storage system in the distribution network and to improve the problems of power loss, load fluctuation, and voltage fluctuation in the system.

The application discloses a method for checking a short-circuit fault position point of a high-voltage device, which comprises the following steps: S1, establishing a substation feeder switch cabinet circuit breaker protection tripping historical fault information account; S2, establishing a substation feeder switch cabinet circuit breaker protection setting information account; S3, acquiring protection tripping fault information of a microcomputer protection device of a substation feeder switch cabinet circuit breaker; S4, converting a secondary action current value of the microcomputer protection device into a primary short-circuit current value, comparing and analyzing the primary short-circuit current value with a primary short-circuit current value of a line historical fault information account, and combining the protection setting information account to preliminarily analyze and determine the position of a short-circuit fault point; and S5, acquiring user-side device tripping fault information to finally determine the position of the short-circuit fault point. The application can quickly determine whether a fault point is on a power line side or a user side, comprehensively analyze and determine the position of a short-circuit fault point, realize quick searching of the short-circuit fault point, and improve the fault searching efficiency.

The present disclosure provides a message processing method and device, equipment and storage medium, comprising: in response to receiving a to-be-processed message, extracting quintuple information from the to-be-processed message; matching the quintuple information with the index key of the session table to determine the type of the to-be-processed message, wherein the index key of the session table is constructed based on the quintuple information of the established session; in response to the type of the to-be-processed message being a first packet, matching the quintuple information with the index key of the association mapping table to determine whether the to-be-processed message is an associated session of the main session, wherein the index key of the association mapping table is constructed based on the IP address and port information obtained by parsing the application layer of the control channel message of the multi-channel protocol, and the main session is the session of the control channel; in response to the to-be-processed message being an associated session of the main session, performing forwarding processing on the to-be-processed message.

The application discloses a log analysis method, device and equipment and a readable storage medium. The method comprises the following steps: collecting logs; extracting feature words from each log to obtain feature words in each log; corresponding feature words in each log form a feature word set of each log; according to the feature word set of each log and a seed set containing multiple seeds, determining a corresponding seed of each log, and classifying each log into a class where the corresponding seed of each log is located. The technical scheme disclosed by the application extracts feature words from logs to extract key information from the logs, classifies the collected logs according to the feature word set of each log, obtains key information and important information such as the category of the logs from the collected logs, so that the operation and maintenance personnel can query and use the logs faster and better, and the result obtained by analyzing the logs can also be used as a corpus for machine learning related to automatic operation and maintenance.

This invention discloses a network path optimization method and system. The method includes: adjusting the adaptive weights of the heuristic function in the underlying model LPA* algorithm to intelligently change the magnitude of the heuristic function's influence with iteration; simultaneously, introducing a bias p in the K-value calculation to improve the algorithm's search efficiency; and performing unbalanced allocation of initial pheromones for the ant colony algorithm based on the initial path calculated by the underlying model. The upper-layer model applies the ACO algorithm to plan fiber optic network paths on a grid map to obtain the globally optimal network path. This invention, through the design of a hierarchical algorithm, provides the ant colony algorithm with prior information including pre-selected paths, enhancing the traditional ant colony algorithm's ability to guide pre-selected areas in path planning. This enables faster search for feasible paths, effectively solving the problems of slow search speed and susceptibility to local optima in the traditional ACO algorithm, and significantly improving the overall performance of the fiber optic network planning system.

The invention discloses a fault root cause positioning method, apparatus and device, and a readable storage medium. The method comprises the steps of determining a multi-source abnormal feature; obtaining a domain knowledge graph; retrieving an analysis basis from the domain knowledge graph; performing root cause tracing by using the preliminary screening layer in combination with an analysis basis, and generating a root cause reasoning process and a reasoning complex score; when the reasoning complex score is lower than a complex threshold value, generating a root cause analysis report by using a conclusion generation layer; when the reasoning complex score is not lower than a complex threshold value, a depth reasoning layer is called to carry out depth causal reasoning, and a reasoning thought and a root cause propagation path are generated; and generating a root cause analysis report based on the reasoning thought and the root cause propagation path by using a conclusion generation layer. Visibly, according to the invention, through a hierarchical reasoning architecture and a domain knowledge graph, reasoning ideas of faults with different difficulty can be clearly presented while the reasoning efficiency and the fault root cause positioning rate are improved, and the credibility and verifiability of various fault root cause positioning conclusions are improved.

The invention provides a tree structure data storage and query method and system and a medium, relates to the technical field of data storage, and solves the problems of performance bottleneck and hierarchical information loss of tree structure data storage and query in the prior art. The method comprises the following steps: generating and storing node data including a node identifier, a father node identifier, a hierarchy depth and a path identifier; the hierarchy depth of the node is obtained by adding 1 to the hierarchy depth of a father node of the node, and the path identifier is formed by splicing a path identifier of the father node of the node, a node identifier of the node and a predefined separator in sequence; in cross-hierarchy query, taking a path identifier of a target node as a left fuzzy matching condition, and performing condition screening in combination with hierarchy depth; and in the whole subtree query, performing reconstruction according to a query result. According to the method, retrieval based on the table structure in the database does not need to generate extra memory overhead, so that the query efficiency can be greatly improved, and the performance overhead can be greatly reduced.

The embodiment of the invention discloses an article retrieval method, an article retrieval device and electronic equipment. A specific embodiment of the method comprises the steps of generating a request vector in response to a received article retrieval request, and generating retrieval attribute data according to a retrieval condition in the article retrieval request; according to the request vector, retrieving an article vector set under a target leaf node matched with the request vector from a pre-constructed article vector tree; and according to the description attribute data of the articles, retrieving a recalled article set matched with the retrieval attribute data from the articles indicated by the article vector set so as to be screened by the business layer. The implementation mode is related to an information retrieval technology, and some filtering rules of a business layer can be integrated into a vector recall stage of an engine layer in advance. In this way, invalid commodity advertisements which do not meet user requirements can be filtered out in advance, so that the data volume of invalid data needing to be processed by a subsequent service layer is reduced, and the overall retrieval efficiency is improved.

The application provides a robot real-time state log storage and retrieval method under mass data, and the design method comprises the following steps: using ElasticSearch to store key fields in a log file, reducing resource consumption caused by the system when saving the file; using HBase to store all fields in the log file, using the advantage of the underlying HDFS file system to reduce the retrieval time; using Java language to develop a background system, processing log file information reported by the robot in real time, and providing Restful API to the outside, so as to facilitate users to customize search conditions, retrieve and download log files. Through the technical scheme of the application, the robot real-time state log under the background of mass data can be stored and retrieved more quickly.

The application relates to a user data storage management method and an embedded device. The method is applied to the embedded device, user conversation data is acquired, local end information extraction is performed on the user conversation data based on preset extraction conditions, current user key data is obtained, original user key data stored in a first storage unit is acquired according to the current user key data, hierarchical storage judgment is performed on the current user key data and the original user key data, first storage data meeting first preset storage conditions is stored in the first storage unit, second storage data meeting second preset storage conditions is stored in a second storage unit, a user search instruction is acquired, the first storage unit and the second storage unit are searched according to the user search instruction and a preset search algorithm, target data is obtained, user privacy data leakage is avoided, user privacy safety is guaranteed from an architecture level, and the reliability of storage management in a resource-limited platform is improved.

The application discloses a model management method and device, the method comprises the following steps: obtaining a first model, editing the first model based on a first input, and saving the edited first model as a first template, the first input is used for adding running dependency files corresponding to N first modules respectively, the running dependency files store parameter information of at least one simulink model, at least one second model is created according to the first template, and nodes corresponding to modules at all levels of the second model are displayed on a model configuration interface of the second model, in response to a second input to a node corresponding to a target module in the N first modules, the target module is updated based on parameter information of a target simulink model, and the target simulink model is a simulink model matched with the target module. According to the embodiment of the application, the difficulty of finding the to-be-replaced module in the model can be reduced, and the finding and replacing efficiency can be improved.

The application provides a performance testing method and device for a platoon automatic driving vehicle, the method comprising: in response to receiving a search condition input by a user, determining a target scene matching the search condition based on a pre-constructed scene database, wherein the pre-constructed scene database stores at least a plurality of first-level scene tags and second-level scene tags, the first-level scene tags comprise a plurality of second-level scene tags, and the plurality of second-level scene tags are in a mutual exclusion relationship; running the platoon automatic driving vehicle in the target scene and obtaining performance data of the platoon automatic driving vehicle; and verifying an automatic driving strategy of the platoon automatic driving vehicle according to the performance data. Through the application, automatic label management is realized, and new and old data are uniformly managed. When the judgment standard of the scene database is updated, only the historical data needs to be refreshed according to the new clustering standard, the historical data can be effectively utilized, and the retrieval difficulty or loss of the historical data is avoided.

This invention specifically relates to an information management platform based on Internet of Things (IoT) technology, specifically in the fields of IoT data security and information management technology. It includes: a source-side data entanglement generation module; an edge-side local ledger maintenance module; a business event-triggered anchoring module; and a cloud-based auditing and dispute arbitration module. In this invention, standardized data collection and lightweight chained hash entanglement calculation lock the time-series data from the physical source of data generation. A lightweight algorithm with hardware-level optimization is used, occupying only 32 bytes of volatile memory to cache the latest hash value, adapting to the low power consumption, low computational cost, and small storage characteristics of IoT terminals. The edge side is equipped with a real-time packet-by-packet chain break detection and self-healing mechanism, which can quickly detect and attempt to repair hash chain breaks, preventing tamper-proofing failure.

The application provides a multi-source spatial data topology consistency automatic processing method for quick update of a vector database, and belongs to the field of topology relation checking. The method comprises the following steps: pre-processing a fusion data layer graph spot, processing the topology consistency of the fusion data layer graph spot and a basic database graph spot, and post-processing the fusion data layer graph spot; setting a topology consistency processing threshold value of the fusion data layer graph spot and the basic database graph spot, and obtaining a processing result according to the processing. The application uses an R-tree spatial index method to search for geometric graph spots with common points, common edges or overlaps, so that the accuracy is not sacrificed while meeting the quick search. The application processes and aligns the boundaries of points, lines and surfaces of the geometric graph spots in all directions, and has high correction accuracy and high speed.

The invention relates to the field of drug utilization value analysis, and particularly discloses a data stream-based drug utilization value analysis system, which comprises a data layer, an application layer and a user layer, according to the method, the multi-source drug data stream is constructed and stored in the multi-source drug database, and based on systematic management of drug information, drug use errors caused by drug name confusion, dosage errors and dosage form confusion can be reduced, the drug use safety is improved, and the method is beneficial to quickly and accurately retrieving and querying specific types of drug information; by integrating the elderly physiological features and the drug feature information, the drug utilization value analysis model is constructed, the elderly physiological features and the drug features are comprehensively considered, the utilization value of the drug on the elderly can be comprehensively evaluated, and the influence of the drug on the elderly patient can be predicted more accurately.

The invention relates to the technical field of alloy materials, and discloses an alloy material component screening method, system and equipment and a medium. The method comprises the following steps: constructing an alloy component performance data set; constructing a multi-model performance prediction model, and training the multi-model performance prediction model according to the alloy component performance data set to screen out a performance prediction reference model; performing global search according to a genetic algorithm and the performance prediction reference model to obtain an alloy component scheme and a corresponding performance prediction result; according to the alloy component scheme and the performance prediction result, weighted assignment sorting is carried out to screen out a target alloy combination; and performing simulation verification and process analysis on the target alloy combination to optimize the performance prediction reference model. According to the method, deviation of a single model is avoided through a multi-model performance prediction model, the genetic algorithm is introduced to ensure global search and avoid local optimization, the closed-loop process design is formed by combining simulation verification and process analysis, the target alloy combination meeting the requirements is rapidly and accurately screened, and the development efficiency is improved.

The application provides a non-invasive power load identification method and system based on a maximum likelihood method, total active power collected at a power consumption entrance is subjected to an event detection algorithm, power load switch events are quickly searched, and a load power difference value is calculated; the power difference value is subjected to an iteration method and a power range value to obtain a possible existence of a power load; the possible existence of the power load is subjected to a maximum likelihood method and a probability density function feature library of each power load operation power, operation power change, operation time and shutdown time to calculate a possible probability value of each power load; the probability value is compared and sorted to obtain a maximum value, which is a power load identification result. The event detection algorithm can quickly search for start and stop of the power load, the power range and the iteration method can effectively reduce the calculation dimension, and the maximum likelihood method is directly used to effectively identify each power load type probability value, and the power load identification has strong reliability.

The application provides a calender roll cleaning mechanism and a sheet production line thereof, which comprises a movable roll table moving linearly along a ground-laid guide rail, a roll table frame fixedly arranged on the movable roll table, a lifting mechanism box slidingly arranged on the lifting guide rails at both sides, a cleaning connecting rod telescopically arranged on the lifting mechanism box, and a positioning roll sleeve. When the surface of the calender roll is bright, clean and free of pits and protrusions, or when the surface of the calender roll is attached with stains or uneven, the angle of the calender roll when the laser beam cannot be normally received by the positioning roll sleeve is calibrated. The application can effectively clean the surface of the calender roll, detect the cleaning condition of the roll surface, realize the automation of roll surface cleaning, clean the roll surface, detect the cleaning degree and flatness of the roll surface, further position the pits and protrusions, facilitate quick positioning and searching, and thus ensure the uniformity of the produced sheet.

The invention discloses a blood pressure detection device with a blood vessel positioning function and a blood vessel positioning method, and belongs to the technical field of medical detection equipment. The ultrasonic blood pressure detection cuff comprises a cuff body, an air bag and a Doppler blood flow detection module, the Doppler blood flow detection module comprises a position adjusting module and an ultrasonic sensor, the track direction of the position adjusting module is consistent with the winding direction of the cuff, and accurate positioning of the sensor can be achieved. Blood flow signals are detected through the Doppler ultrasonic technology, and the blood pressure can be measured more accurately in combination with the air bag pressurization and decompression process. The system can be widely applied to the scenes of family medical treatment, clinical diagnosis, ICU, operating rooms and the like.

The application discloses a kind of modeling tool management methods and systems based on blockchain, it is related to blockchain technical field, the method includes uploading model file to distributed file system;Record the upload time of model file and calculate the storage address of model file;Classify model file by data classification model, obtain classification result;According to classification result, the relevant data of model file is added to blockchain;According to blockchain data, the change of model file is managed;Wherein, relevant data includes storage address, adding time, upload time, modeling tool identifier, front block hash value and current block hash value.The application classifies model file, according to the storage address of model file and other relevant data in corresponding blockchain according to classification result, the addition of data is verified by blockchain data, improve the efficiency and accuracy of modeling tool modeling data storage.

The application discloses a kind of underwater acoustic open architecture under underwater acoustic component dynamic configuration management method, belong to underwater acoustic system technical field, comprising: establishing underwater acoustic component warehouse, for carrying out full life cycle tracking management to underwater acoustic component;Establish dynamic access control model, based on component identifier and version number, underwater acoustic component is divided into different security levels and operation categories, and the permission rule of each underwater acoustic component instance is configured dynamically adjustable;When receiving the operation request for target underwater acoustic component, the permission check of the operation request is carried out through dynamic access control model;When executing the operation to any underwater acoustic component, operation log is recorded in real time;When monitoring that the version of currently deployed underwater acoustic component causes system exception, automatically trigger rollback operation.The application can automatically trigger rollback operation when monitoring component defect, quickly restore system to previous stable state, significantly improve the robustness and service continuity of underwater acoustic system.

The utility model discloses a new material shading adhesive tape, which relates to the technical field of shading adhesive tapes and comprises an adhesive tape main body, an adhesive tape positioning column is arranged in the middle of the adhesive tape main body, a positioning component is arranged outside the adhesive tape positioning column, the adhesive tape main body comprises a PET (polyethylene terephthalate) shading layer, and an adhesive layer, a PVC (polyvinyl chloride) substrate layer and an adhesive layer are arranged at the bottom of the PET shading layer. The positioning assembly comprises a supporting rod, one end of the supporting rod is provided with an inserting block and a connecting plate, the middle of the connecting plate is provided with an extending plate, one end of the extending plate is provided with a positioning frame, the middle of the extending plate is provided with a telescopic limiting rod, and the outer portion of the telescopic limiting rod is provided with a connecting spring. The cut-off end of the adhesive tape is positioned through the positioning assembly, the shading adhesive tape is supported through the positioning frame and the positioning through groove, and after the shading adhesive tape is used, the cut-off end of the shading adhesive tape adheres to the outer wall of the side, away from the adhesive tape body, of the positioning frame, so that the shading adhesive tape can be quickly found when used next time.

The present application relates to the technical field of three-dimensional mobile robot path automatic planning, and particularly relates to a robot three-dimensional global path planning method based on sunlight irradiation principle, comprising the following steps: dividing a search space into an obstacle region and a free region, determining a directed graph set and a dynamic update dataset of robot path nodes; setting a heuristic function to select a sunlight point from the dataset; using a circular conical tangent point search function to determine an obstacle edge path tangent point; using a grid restriction sampling mechanism to screen the path tangent point; repeating the above steps until a preset maximum number of sampling nodes is reached, generating several feasible paths; selecting the feasible path with the minimum path length for backend optimization processing, and outputting an optimal feasible path. The present application quickly searches for an obstacle edge tangent point to construct a feasible path by simulating the sunlight irradiation principle, screens nodes in combination with a grid restriction sampling mechanism, improves the algorithm convergence speed, and realizes rapid and smooth planning of the shortest path in a three-dimensional space.

The application discloses a kind of railway station yard vehicle automatic identification and tracking positioning method, it is related to railway transport management technical field, it is difficult to solve the technical problem that three-level judging mechanism is combined with multi-sensor data to identify vehicle, it is also difficult to realize the automatic conversion of coordinate to label by digital twin model, lack of weight adjustment and joint loss function based on prediction variance, balance multi-task training effect;Including: by building comprehensive monitoring system to collect multi-source data, realize vehicle automatic identification in combination with three-level judging mechanism;Vehicle position information is calculated using Kalman filtering algorithm and railway station yard special coordinate system, and the coordinate is mapped into semantic position label by digital twin model;Based on historical data and semantic label, a multi-task neural network framework is constructed, the loss function weight is dynamically adjusted to optimize the joint loss function, efficient semantic prediction and classification of vehicle position are realized.

The utility model discloses a digestive tract mucous membrane diagnostic dyestuff storage device, including fixed cylinder, the fixed cylinder outside rotation has the turntable, the turntable top surface fixed mounting has the rotation block, the rotation block top surface equal interval is provided with a plurality of storage groove, be provided with dyestuff bottle in the storage groove, the rotation block top surface detachable mounting has the apron, the apron bottom surface is bonded with the moisture absorption bag through in the storage groove, the fixed cylinder inside is provided with waste liquid collection subassembly. The utility model saves when dyestuff is saved in the dyestuff bottle, places dyestuff bottle in the storage groove inside, subsequently through the apron cover in the rotation block top, a plurality of and moisture absorption bag with storage groove one to one corresponds to, thereby makes the moisture absorption bag to the storage groove inner chamber has the drying effect, avoids the influence dyestuff storage time of humid storage environment.

The invention discloses a full-link influence analysis method and early warning system for data in civil aircraft manufacturing industry data, and the system comprises a data source module which comprises a data service composed of a data interface, a data report and a data index, a database service, ETL operation, and servers and server monitoring software which all services belong to, a data collection module, a data processing module, a data processing module and a data processing module. The method is used for collecting metadata information from a business system, a database and an ETL tool and comprises data service definition, table structure definition and job task definition. Full-link connection and unified modeling of a business layer, a logic layer and a physical layer are achieved, the problem of data link splitting is solved, the system supports second-level influence range analysis and bidirectional visual tracing based on a graph database and a search engine, the troubleshooting efficiency is greatly improved, multi-dimensional intelligent early warning is achieved through dynamic threshold and cross-layer association, and the system is suitable for large-scale popularization and application. Abnormal influence is accurately positioned, the system provides data support for resource optimization and capacity planning, and objectivity and foresight of operation and maintenance decisions are enhanced.

The utility model discloses a sunrise and sunset calculation lookup table which comprises an identification mainboard and a vernier which are matched with each other, the identification mainboard is of a thin plate structure with a time difference indicating gauge arranged on the surface, and damping adhesive tapes are adhered to the upper end and the lower end of the identification mainboard; the vernier is of a transparent scale structure with an indicating marked line and scales on the surface, the upper end and the lower end of the vernier extend inwards to form sliding parts respectively, the vernier is connected with the identification main board in a sliding mode through the sliding parts, the vernier slides in the X-axis direction of the identification main board through the sliding parts and indicates the scales, and the sliding parts abut against the damping rubber strip when moving. The damping rubber strip is mainly used for reducing the friction force between the vernier and the identification main board, so that the vernier can slide more stably and smoothly. According to the sunrise and sunset calculation lookup table provided by the utility model, through a physical structure and simple and visual scales, a user can quickly find sunrise and sunset moments at any place and at any date.