35results about How to "Improve acquisition efficiency" patented technology

The utility model discloses a general vehicle full -color night -vision auxiliary driving system, including multi -objective camera, individual helmet, car machine big screen and panoramic video processor, multi -objective camera all with panoramic video processor electricity is connected with individual helmet, car machine big screen, the multi -objective camera is used for gathering the image of vehicle surrounding environment, individual helmet is provided with head -mounted display, and the head -mounted display of individual helmet is used to present the image of vehicle surrounding environment after the processing of panoramic video processor, car machine big screen is used for presenting the image of vehicle surrounding environment after the processing of panoramic video processor on the vehicle. The utility model solves the problem that the imaging color of traditional vehicle night -vision auxiliary equipment is single, the detail is not clear, cannot provide panoramic visual information, is difficult to effectively integrate with vehicle system, helps the driver to be more accurate in judging the road condition under the night and complex environment, and improves driving safety and convenience.

This paper provides a content display method, an interaction method, a device, an electronic device, and a storage medium. The content display method includes: displaying a first visual mind map, the first visual mind map being editable; and, in response to a first display operation, displaying first content, the first content corresponding to either the first visual mind map or a second visual mind map, the second visual mind map being edited from the first visual mind map, and the first content being used by virtual objects as retrieval-enhanced data. This paper utilizes the above technical solution to improve the efficiency of information retrieval based on visual mind maps.

The application relates to the technical field of artificial intelligence, and provides a data acquisition method and device based on artificial intelligence, electronic equipment and a medium, the method comprises the following steps: acquiring a data interface to be accessed; identifying the interface type of the data interface to be accessed; when the interface type of the data interface to be accessed is a cache interface, judging whether the data interface to be accessed is accessed for the first time by a user; when the data interface to be accessed is not accessed for the first time by the user, determining a cache strategy according to parameter information of the data interface to be accessed; and acquiring page data based on the cache strategy. After the cache strategy is determined according to the parameter information of the data interface to be accessed, the cache strategy is reasonably used, the number of flows and server requests is reduced, the pressure of server flows in a peak period is effectively reduced, and the data acquisition efficiency is improved.

This application discloses an information acquisition method, apparatus, and computer-readable storage medium, relating to the field of Internet technology. The method involves acquiring target location information of a target terminal; when no target wireless communication information is detected in the target location information, acquiring a first mapping relationship; acquiring the target Internet Protocol (IP) address of the target terminal; determining the location information to be determined corresponding to the target IP address based on the first mapping relationship; when there are multiple locations to be determined, determining a matching target historical terminal based on the target terminal's attribute information; searching for historical location information recorded by the target historical terminal; and determining the target location information of the target terminal based on the historical location information. Thus, by acquiring the target wireless communication information, target IP address, and target historical terminal of the target terminal in combination with the target historical terminal's location information, the efficiency of location information acquisition is improved.

The application relates to the technical field of emergency management, and discloses a multi-information fusion disaster accident emergency knowledge pushing method, which comprises the following steps: collecting multiple types of disaster related data and preprocessing, and constructing a unified emergency information dataset; inputting the dataset into a pre-constructed time-space-cause three-in-one state transition model to obtain disaster accident scenario evolution data; generating a unified scenario feature vector through a three-level fusion architecture; generating a candidate knowledge set through a thinking chain reasoning combined with an emergency knowledge graph and a pre-trained emergency large model; sorting the candidate knowledge in combination with a disaster scenario, a rescue task and a user role; and performing multi-terminal directional pushing. The application improves the scenario adaptability, multi-source information fusion efficiency and reasoning accuracy of emergency knowledge, realizes personalized pushing of the emergency knowledge, and provides scientific and efficient support for emergency rescue decision-making.

This disclosure provides a data acquisition method, apparatus, electronic device, and storage medium. The method includes: acquiring filtering information; parsing the filtering information to acquire data model preprocessing information, container node preprocessing information, and data processing information; matching data models in a data model set based on the data model preprocessing information; matching container nodes in the data models based on the container node preprocessing information in response to the matched data models; acquiring data corresponding to each matched container node in response to the matched container nodes; processing the acquired data corresponding to the container nodes based on the data processing information to acquire valid data for each container node; generating a response data message corresponding to each matched data model for the acquired valid data of the container nodes, and merging these responses. This method can improve data acquisition efficiency, reduce data processing volume, and improve user experience.

This application discloses a method, system, device, and medium for acquiring information from power equipment, belonging to the field of power electronics technology. The method includes: power equipment responding to a connection request from a pre-installed device by establishing a communication connection with the pre-installed device via an AP hotspot; receiving an inquiry command sent by the pre-installed device; obtaining the response information corresponding to the inquiry command; and sending the response information back to the pre-installed device. This application, by activating the AP hotspot of the WiFi module after the power equipment is powered on, allows the pre-installed device to establish a communication connection with the power equipment via the AP hotspot, obtain the corresponding response information based on the network relationship within the power equipment cluster, and provide feedback. This eliminates the need for manual scanning of QR codes or manual data entry for each power equipment, simplifying the power equipment information collection process, shortening the information acquisition time cycle, and improving the efficiency of power equipment information acquisition.

The application relates to the technical field of food ingredient analysis, and discloses a label-free online raw milk somatic cell detection device and a detection method. The label-free online raw milk somatic cell detection device is installed on a milking production line and comprises an online sampling module, an automatic image acquisition module and a server. Branch pipelines and a detection pool are arranged in the online sampling module. Two ends of the branch pipelines of the online sampling module are connected with main pipelines of the milking production line, so that raw milk samples flow through the detection pool in the branch pipelines during the milking process. In the detection pool, the raw milk samples are distributed in a single layer of cells. The automatic image acquisition module is connected with the server and acquires cell images of the raw milk samples flowing through the detection pool in response to acquisition instructions of the server. The cell images are used for somatic cell detection. The beneficial effect is that the efficiency of online acquisition of cell images of somatic cells is improved.

This application discloses a method, device, and electronic device for displaying power plant information, belonging to the field of new energy power plant technology. The method includes: displaying multiple display units on an interface, each unit representing a power plant; acquiring multi-dimensional factor data for each power plant, and determining the importance weight of each power plant based on the multi-dimensional factor data; determining the rendering parameters of each display unit based on the importance weight, enabling the interface to display multiple power plants in a differentiated manner; wherein the display priority of each power plant is represented by the difference in the rendering parameters of the corresponding display unit. This application enables the intuitive differentiation of the degree of attention given to different power plants in the current usage scenario, thereby improving the efficiency of users viewing power plant information.

This application provides a method, apparatus, computer-readable medium, and electronic device for identifying key segments in content. The method includes: dividing content into multiple segments; acquiring behavioral data generated by multiple objects when accessing various segments of the content; determining the criticality of each segment in the content based on the behavioral data generated by the multiple objects when accessing each segment, wherein the criticality is used to measure the importance of the segment in the content; and identifying at least one key segment among the multiple segments of the content based on the criticality of each segment. This application can automatically extract more valuable and worthwhile key segments from content, thereby improving the user's information acquisition efficiency and saving the user's time by providing these key segments. This application can be applied to various scenarios such as cloud technology, artificial intelligence, smart transportation, and assisted driving.

This invention discloses a method and platform for evaluating the resilience of towns and villages on the outskirts of large cities. The method includes steps such as constructing a multi-level evaluation index system, acquiring and processing evaluation data, calculating index weights, and obtaining evaluation results. It establishes a multi-level index system encompassing economic resilience, social resilience, ecological resilience, and infrastructure resilience. Relevant literature data is acquired using web crawling technology and semantic analysis models. The final indicators are selected using the TF-IDF algorithm, and the index weights are calculated using the information entropy method. Finally, the evaluation results are obtained using the fuzzy comprehensive evaluation method. This method automates the evaluation process, enabling rapid and accurate assessment of the resilience level of towns and villages on the outskirts of large cities, providing a scientific basis for urban planning and management decisions.

This application provides an information processing method, apparatus, electronic device, computer-readable storage medium, and computer program product. The method includes: receiving information sent by a first terminal device, wherein the first terminal device is logged into a first account; obtaining a first authorized biometric feature bound to the first account from a plurality of pre-stored authorized biometric features, and binding the information with the first authorized biometric feature; receiving a biometric feature to be identified sent by a second terminal device, and matching the biometric feature to be identified with the plurality of authorized biometric features; and in response to the first authorized biometric feature and the biometric feature to be identified satisfying a matching condition, sending the information to the second terminal device. This application can effectively improve the efficiency of information acquisition while ensuring security.

This application provides a knowledge graph-based intelligent question-answering method, device, and storage medium for landslide disaster events, relating to the field of landslide disaster knowledge graphs. The question-answering method includes: constructing an instance layer of the knowledge graph; constructing an ontology layer of the knowledge graph; obtaining the landslide disaster knowledge graph; obtaining the query statement supported by the graph database of the landslide disaster knowledge graph for the user's question; querying the landslide disaster knowledge graph based on the query statement to obtain multiple candidate nodes for the user's question; calculating a comprehensive evaluation score for each candidate node based on keyness score, similarity score, and degree centrality score; determining a unique target node or set of target nodes from the multiple candidate nodes based on the comprehensive evaluation score ranking and a preset score difference threshold; querying the landslide disaster knowledge graph based on the unique target node or set of target nodes; and calling an answer template to output the answer. Using the question-answering method provided in this application, landslide disaster event question-answering can be performed quickly and accurately.

The application provides a kind of based on the implementation method and system of spaceborne interferometric and differential interferometric SAR of heterogeneous formation, comprising: design heterogeneous system synchronization;Design heterogeneous system orbit formation configuration;Establish spaceborne interferometric SAR and differential interferometric SAR model, respectively solve absolute interferometric phase and differential interferometric phase containing terrain and deformation information;Establish spaceborne interferometric SAR and differential interferometric SAR error sensitivity model, calculate system error sensitivity in the process of interference processing;Establish heterogeneous system interferometric SAR calibration model.The application proposes two kinds of orbit formation configuration design of spaceborne interferometric SAR system based on fly-around mode and differential interferometric SAR system based on follow mode, breaks through the traditional heterogeneous interferometric SAR and differential interferometric SAR system, effectively solves the problems of low interference efficiency, long revisit period and difficult to realize business operation of single-satellite multi-pass interferometric SAR system, can greatly shorten the same wave bit observation period, significantly improves the data acquisition efficiency.

The invention provides a system and a method for rapidly acquiring a large-range biological slice sequence image library, and relates to the technical field of biomedicine. The operations such as slice thickness detection, slice image acquisition, etching thinning or membrane structure etching enhancement and the like can be performed in a vacuum environment, so that the biological slice sequence sample is prevented from being in contact with the external environment, and the risk that the biological slice sequence sample is polluted and damaged is reduced. By arranging the first communication valve, the second communication valve and the third communication valve, the operation of repeatedly vacuumizing each cavity can be avoided, and the acquisition efficiency of the biological image library is improved. Moreover, the ion etching equipment is arranged in the thinning cavity, and the biological slice sequence sample in the thinning cavity can be subjected to large-range etching thinning or membrane structure etching enhancement through the parallel ion beams, so that rapid etching thinning or membrane structure etching enhancement of large-batch slices is realized, and the acquisition efficiency of the biological image library can be further improved.

The application discloses a real estate project management method and device, electronic equipment and storage medium, wherein the real estate project management method comprises the following steps: acquiring a plurality of component models and multi-dimensional business data of a real estate project, wherein the multi-dimensional business data comprises multi-dimensional data of each component; assigning an identity to each component model, wherein the identity of each component model is different; binding the multi-dimensional data of each component with the identity of the component model corresponding to each component, so as to obtain multi-dimensional data of each component model; determining the project progress of the real estate project according to the multi-dimensional data of each component model; and issuing a project delay warning in the case that the project progress does not meet a preset project progress. The method assigns a unique identity to each component model, and binds multi-dimensional business data originally scattered in independent systems with the identity, so that the information acquisition efficiency is improved.

This invention discloses a microscopic imaging focusing method and an automatic focusing device, belonging to the field of microscopic optical imaging technology. The microscopic imaging focusing method sequentially includes: preparation, coarse focusing, and fine focusing; the preparation includes calibrating the relationship between the image sharpness of chip markers and the driving current of the liquid lens. This invention is applied to the imaging focusing of complex biological samples containing a large number of impurities, solving the technical problem that existing automatic focusing methods cannot achieve fully automatic, high-speed focusing on complex biological samples within microfluidic chips, enabling fully automatic and rapid focusing for highly complex biological samples.

The application discloses a bridge drawing optimization method and system fusing quality score and geometric matching, and belongs to the fields of bridge engineering design and computer information technology, and comprises the following steps: constructing a structured bridge design drawing knowledge base, receiving target design requirements of a user, calculating engineering quantity indexes of candidate drawings, calculating drawing quality scores, multi-dimensional similarity matching and comprehensive recommendation scoring, and outputting a recommended result. The application can automatically analyze structural parameters and performance indexes in a large amount of historical drawings, can quickly screen candidate schemes according to target requirements (such as span, width and span number) input by the user, can combine multi-dimensional quality factors such as specification compliance, economy and drawing integrity to quantitatively score and sort the candidate drawings, and can finally output recommended drawings with high matching degree, high quality and direct reference or fine adjustment, so that the bridge design efficiency and quality are significantly improved.

The application relates to a network space knowledge extraction method and device based on rule-enhanced prompt learning, which comprises the following steps: acquiring text data to be extracted in a network space security field and a prompt input; splitting the prompt input into a subject prompt, a relationship prompt and an object prompt; connecting sub-prompts of a conditional function related to an ontology rule by using a logical rule with an and normal form to obtain a task-specific prompt for the text to be extracted; performing network space knowledge extraction on the text data to be extracted by using the task-specific prompt and a pre-trained language model trained to output entities and relationships of a current task in the network space security field; and using the entities and relationships to determine threat intelligence data in the current network space security field. The application realizes efficient extraction of entities and relationships in the network space security field by using a prompt tuning technology, and improves the efficiency of threat intelligence data discovery and acquisition in the network space security field.

The utility model provides a LAN data centralized monitoring and calculating system relates to LAN dispatching monitoring and management field. Including data acquisition module selects node from LAN and gathers electric power instantaneous quantity data, data processing module carries out screening, analysis and operation to the instantaneous quantity of gathering, including: through the calculation of total output of self -generation of reverse method, according to the total output of self -generation with the main force self -generation plant output data that has gathered, calculates the secondary self -generation plant output, to chain type line structure, through two end substation data calculation line inner power generation and load balance value as approximate power output, to tree shape line structure, through main line data subtracts public power plant and public load data and obtains self -generation output, centralized display module shows instantaneous quantity data after data processing module processing in same monitoring interface, has promoted data acquisition efficiency, has strengthened data timeliness and accuracy, has optimized dispatching decision, has improved power grid operation reliability.

The application provides a blood vessel information prediction method and device, equipment and a storage medium, and relates to the technical field of biomedicine. The method comprises the following steps: obtaining to-be-predicted data; inputting the to-be-predicted data into a prediction model to obtain blood vessel information of a target blood vessel; wherein the prediction model is obtained through the following steps: obtaining a training data set and a corresponding physical model, wherein the training data set comprises historical physiological signals and corresponding blood pressure waveform data or blood flow rate waveform data; determining a loss function of a to-be-trained neural network based on the physical model; and performing neural network training according to the loss function and the training data set to obtain the prediction model. The implementation of the application can predict blood vessel information by using physiological signals, improve the acquisition efficiency of blood pressure and blood flow rate related data, facilitate long-time acquisition of the data, and promote the promotion of cardiovascular disease diagnosis and prevention in daily life.

The application provides a kind of commercial vehicle frame performance prediction multi-modal data fusion representation method and system, applied to vehicle frame data modeling technical field, the method first carries out automatic mining to multi-source heterogeneous engineering data, extracts structure topological parameter, section configuration parameter, material attribute parameter, connection parameter, P-S-N curve data and field response data, and forms target domain data set and independent test set;Then establish the full parameterization finite element model of frame, combined with the virtual load sample generated by statistical derivation of measured load spectrum, extract two-dimensional load damage feature matrix, and construct source domain data set;Finally, the geometric topological feature, parameter feature, connection feature and load feature are mapped to a unified three-dimensional voxel space, generating a three-dimensional multi-channel engineering data tensor.The application can improve the efficiency of commercial vehicle frame sample construction, multi-modal data utilization efficiency and the generalization ability of performance prediction model.

The application discloses an emulsified asphalt wheel sticking effect evaluation method, equipment and medium, and relates to the technical field of intelligent construction, which comprises the following steps: acquiring a test parameter table, inputting the test parameter table into a microfluidic chip tester for high-throughput testing, and outputting a demulsification kinetics curve and a basic adhesion force data set; combining demulsification process parameters in the demulsification kinetics curve with the basic adhesion force data set to generate a demulsification adhesion coupling data set, constructing a multi-physical field simulation model, and using the demulsification adhesion coupling data set for inversion and calibration to generate a calibrated digital twin model; acquiring construction environment data and inputting the construction environment data into the calibrated digital twin model for automatic multiple simulation calculation to predict wheel sticking risk indexes of different construction schemes; and integrating a construction scheme with the lowest wheel sticking risk index and a safe passing time window to generate an intelligent decision suggestion. The application inverses and calibrates the interfacial energy density through experimental data, and reduces the behavior error of the simulation model and the real material.

The present disclosure provides a data display method and device, electronic equipment, storage medium and computer program product, relates to the technical field of computers, in particular to the technical field of multimedia, and can be applied to a dynamic data display scene. The specific implementation scheme is as follows: a target card supporting dynamic image display is determined from a plurality of waterfall cards in a current display page; a target dynamic image is acquired according to an image resource link associated with the target card; and the target dynamic image is dynamically displayed in the target card through a playing engine associated with the target card. The present disclosure enables the waterfall card to display dynamic image data, and improves the information acquisition efficiency and resource search efficiency of a target object (for example, a user) in the process of browsing the waterfall card page.

This application discloses an image processing method, apparatus, device, and storage medium, belonging to the field of artificial intelligence technology, and particularly relating to cloud computing, big data, or databases in the cloud technology field. The embodiments of this application can randomly select a processing method to degrade a high-resolution first sample image to obtain a low-resolution second sample image. This eliminates the need for manual processing, significantly reducing labor costs and improving the efficiency of acquiring low-resolution images. Furthermore, during training, a different processing method can be selected for degradation processing each time, ensuring that the trained target image processing model can perform good image processing on images processed by various methods, adapting to a wider range of image processing scenarios. Therefore, this target image processing model has good applicability.

This application relates to the field of industrial automation technology, specifically providing a method for acquiring information about motor equipment, a motor control device, a medium, and a system, aiming to solve the technical problem of improving user experience during the acquisition of motor equipment information. To this end, the method for acquiring information about motor equipment includes: displaying an interactive interface, the interface including a graphic element list area and a graphic element editing area; acquiring a first selection operation command from the graphic element list area; based on the first selection operation command, displaying the selected information acquisition graphic element in the graphic element editing area; and acquiring the corresponding motor operation information based on the information acquisition graphic element displayed in the graphic element editing area. By adopting a visual interface and graphic element interaction to acquire information about motor equipment, the interface display and operation are more intuitive and convenient, effectively improving the efficiency and flexibility of information acquisition, and significantly enhancing the user experience.

The application provides a traffic monitoring method, device, equipment and storage medium. The method comprises the following steps: reading a local cache file, determining a target virtual route; acquiring traffic information of the target virtual route, comprising traffic data of an elastic public network of the target virtual route, traffic data of a virtual network device of the target virtual route and connection data of the target virtual route; and uploading the traffic information of the target virtual route to a preset storage system. The method no longer needs to generate iptables rules in a virtual router namespace, thereby reducing the influence on the performance of the virtual route; the traffic monitoring no longer enters a message queue, a database and other planes of a cloud network control plane, thereby not influencing the performance of the cloud network control plane, and meanwhile, the efficiency of traffic data acquisition is improved.

This application belongs to the field of R&D optimization technology and is applied to the R&D optimization process in the financial industry. It relates to a method, apparatus, device, and storage medium for accelerating cross-server data retrieval. The method includes using the Spark search engine as a retrieval engine, retrieving insurance business data required by each insurance branch to complete its business execution logic from the data source table of the financial data warehouse based on the retrieval fields input by the target user; inputting the required business data into the corresponding target data sub-table and sending it to a preset second data server. By introducing the Spark search engine, Lexica keyword search engine, and AI2SQL platform automatic generation components, the method automatically generates external forms corresponding to each insurance branch, using the Hive public data warehouse data of the insurance head office as the source data. This improves the efficiency of data retrieval from the financial data warehouse and also enables data separation on a per-branch basis.

This application discloses a method, apparatus, storage medium, and electronic device for acquiring Hive data, relating to the field of database technology. The method for acquiring Hive data includes: responding to a data call instruction and calling a target component from a component library of a preset service framework, wherein the target component is created using a target coding language; obtaining an executable file from a local shared library that the target component needs to execute, wherein the local shared library supports multiple programming languages; executing the executable file to call the Hive database's API, and obtaining Hive data from the Hive database according to the API. This technical solution solves the technical problem of how to acquire Hive database data more efficiently.

This invention provides a method for predicting the fatigue crack propagation threshold under alternating stress, comprising: S1, obtaining the fatigue failure cycle N and fatigue stress range Δσ of the failed specimen; S2, obtaining the critical crack length a of the failed specimen. f S3. Obtain the fatigue stress range Δσ, fatigue failure cycle N, and critical crack length a of the specimen. f S4. Formula for determining the stress intensity factor range ΔK and crack length a of the specimen; S5. Determine the crack propagation Δa for each constant force range; S6. Determine the stress range Δσ for each stress level. i S7. Obtain the stress range Δσ for each level. i Crack propagation rate (da / dN) i S8. Determine the length a of each crack level. i The range of stress intensity factor ΔK i S9. Obtain the fatigue crack propagation threshold value ΔK. th This invention predicts fatigue crack propagation threshold values ​​for different stress ranges based on high-cycle fatigue test results, replacing the fatigue crack propagation rate test which has a long testing cycle and high cost, thus reducing the testing workload and improving the efficiency of data acquisition.