109results about How to "Improve acquisition efficiency" patented technology

The invention discloses a method for generating a micromechanical property distribution diagram of a solid waste composite cement-based cementing material, and belongs to the technical field of performance prediction of solid waste composite cement-based cementing materials, and the method comprises the following steps: acquiring BSE, EDS and nanoindentation data of a sample; identifying indentation areas in the nanoindentation mark graph, and generating masks corresponding to the areas; performing statistics on the regional masks to obtain element content data of each indentation region; establishing a prediction model by adopting machine learning based on the regional element content and the elasticity data; performing super-pixel segmentation on the BSE image to match the scale of the indentation area; calculating element features of the super-pixel regions, and predicting the elastic modulus of each super-pixel region; and mapping the predicted elastic modulus to a corresponding region to generate an elastic modulus distribution diagram. According to the method, prediction of the two-dimensional space distribution of the internal elastic modulus of the solid waste composite cement-based cementing material can be realized, and data and visual support are provided for material heterogeneity research and multi-scale modeling.

The embodiment of the invention provides a resource acquisition and reinforcement learning method and device, a storage medium and a program product. In the method, a resource acquisition demand is acquired; aiming at the resource acquisition demand, generating a first task queue, the first task queue being used for storing a uniform resource identifier (URI) to be explored; a resource obtaining module obtains the first URI from the first task queue and initiates a resource access request based on the first URI to obtain a first network resource; acquiring a first reference URI (Uniform Resource Identifier) embedded in the first network resource; according to a resource acquisition state corresponding to the first URI, determining whether the first reference URI needs to be explored by using a decision model obtained based on reinforcement learning optimization; and when the first reference URI needs to be explored, the first reference URI is added to the first task queue for subsequent acquisition of corresponding network resources.

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 invention provides a battery power consumption lightweight analysis device, a lightweight log generation device, a battery power consumption lightweight analysis method, a lightweight log generation method, electronic equipment and a computer program product. The battery power consumption lightweight analysis device comprises: a system configuration analysis module for analyzing a system configuration file of a target electronic device to obtain system attribute feature data; the battery statistical data acquisition and analysis module acquires a battery statistical data packet and analyzes the battery statistical data packet to determine battery characteristic data; the lightweight log generation module carries out packaging processing on the system attribute characteristic data and the battery characteristic data to generate a lightweight log file; the log data reading and analyzing module reads the lightweight log file and analyzes the lightweight log file to extract attribute feature data and battery feature data; and the battery power consumption analysis module is used for analyzing the battery power consumption of the target electronic equipment according to the attribute characteristic data and the battery characteristic data to generate a power consumption analysis result.

This paper provides a method, apparatus, device, and storage medium for automatically acquiring rock mechanical parameters. The method includes: reading stress-strain data obtained from uniaxial compression experiments on rocks; interpolating the stress-strain data to form a stress-strain curve; dynamically extending the stress-strain curve towards both ends, starting from a target point, until the goodness of fit of the regression line formed by the current extension is lower than a set threshold; segmenting the stress-strain curve using the stress peak point, strain peak point, and endpoint of the regression line as segmentation points; calling a first rock mechanical parameter calculation module to process the stress-strain curve and obtain a first type of rock mechanical parameters; and calling a second rock mechanical parameter calculation module to process the segmented stress-strain curve and obtain a second type of rock mechanical parameters; and merging the two types and outputting the results. The embodiments described in this paper can improve the efficiency and accuracy of acquiring rock mechanical parameters.

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 invention discloses a new source evaluation method for internet technology information, belonging to the field of new source evaluation technology. To address the problems in existing technologies, such as users struggling to quickly find valuable information from a large volume of technology news, significant differences in information quality between different sources, and the lack of an effective source evaluation system, which prevents users from filtering information based on source reputation, this new source evaluation method for internet technology information effectively improves information acquisition and processing efficiency, ensures content quality and credibility, enhances readability and usability through sentiment analysis, topic classification, and relevance calculation, supports users in making informed decisions, promotes a virtuous cycle in the information ecosystem through multi-dimensional considerations in the evaluation system, and dynamically optimizes source evaluation through a user feedback mechanism, enabling personalized content recommendations, meeting user needs, and improving satisfaction.

Embodiments of the present disclosure relate to an image processing method, device, equipment and medium, wherein the method comprises: acquiring a plurality of groups of image pairs with different grid resolutions; according to the order of the grid resolutions from small to large, sequentially calculating the grid vertex positions of the corresponding second images according to the corresponding second images and the associated reference images of each group of image pairs in the plurality of groups of image pairs, and sequentially passing the grid vertex positions of the previous grid resolution to the next layer until the target grid deformation image of the image pair corresponding to the maximum grid resolution is acquired, and calculating the grid flow according to the target grid deformation image and the first image, so as to align the original reference image and the first image according to the grid flow. Thus, the grid vertex positions of the previous pair of images are passed from coarse to fine according to the order of the grid resolutions from small to large to control the grid shape deformation, and the grid flow is determined according to the deformed grid, thereby improving the acquisition efficiency and robustness of the grid flow and improving the image alignment effect.

The invention discloses a method for a light storage charging and discharging station to participate in a multi-agent cooperative game, and the method comprises the steps: carrying out the modeling according to the internal operation characteristics of each agent and a commercial operation mode, and obtaining a private objective function and an operation constraint set; building a multi-agent cooperative game framework, and decomposing a multi-agent cooperative game problem into an alliance benefit maximization sub-problem and a benefit distribution sub-problem which are solved in sequence; and based on the sub-problem, introducing an adaptive penalty factor, and adopting an enhanced alternating direction multiplier method for distributed solution to obtain an optimal scheduling strategy. According to the invention, modeling is carried out by fully considering the internal operation characteristics of each operator main body, so that the flexible operation of the optical storage charging and discharging station is ensured; by sequentially solving the alliance benefit maximization sub-problem and the benefit distribution sub-problem, the overall optimization of the alliance can be ensured, the reasonable and fair distribution of the cooperation residue among all participants can be ensured, and the long-term stability of the alliance is ensured.

The invention discloses a scene backtracking method, system, equipment and product for a humanoid robot, and the method comprises the steps: triggering the humanoid robot to carry out multi-source data collection processing according to an operation instruction, carrying out the control processing of a data collection process through the operation state of the humanoid robot, and obtaining a multi-source data set; the multi-source data set comprises positioning data, environment video data and target object state data; performing data preprocessing and sample extraction processing on the environment video data according to the positioning data to obtain a sample image; performing target feature recognition and image screening processing on the sample image to obtain a scene image; and performing visual backtracking processing on the positioning data, the scene image and the target object state data to obtain a scene backtracking result. The working efficiency of the humanoid robot can be improved, and the humanoid robot can be widely applied to the technical field of robots.

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 provides a model training method, a protein processing method and device, an electronic device, a computer readable storage medium and a computer program product. The model training method comprises: determining a first amino acid sample sequence of a first protein sample, the first amino acid sample sequence being an amino acid sequence of the first protein sample before mutation; fusing a first preset variant type and the first amino acid sample sequence to obtain a first fusion sequence; predicting the first fusion sequence by using a to-be-trained protein prediction model to obtain a second amino acid sample sequence, the second amino acid sample sequence being an amino acid sequence included in a protein variant of the first preset variant type; and adjusting parameters of the to-be-trained protein prediction model based on a first loss value of the second amino acid sample sequence and a preset third amino acid sample sequence to obtain a trained protein prediction model. Through the application, the acquisition efficiency of the protein variant can be improved.

The invention discloses a deep learning model-based micro-nano structure and spectral characteristic relation measuring and calculating method, which comprises the following steps of: preparing micro-nano structure arrays containing multiple unit types, different sizes and periods, measuring and collecting reflection spectral data of each array at high throughput, and constructing a high-quality experimental spectral data set; and training a deep learning model by using the experimental data set to realize forward prediction of the experimental reflection spectrum corresponding to the geometric parameters of the micro-nano structure and reverse prediction of the geometric parameters and shape of the micro-nano structure corresponding to the target reflection spectrum. A multi-layer perceptron neural network model is adopted in forward prediction, and a convolutional neural network model is adopted in reverse prediction. According to the method, the difference between the simulated spectrum and the actual spectrum is effectively made up, and the efficiency and precision of micro-nano structure spectrum design are remarkably improved.

The invention relates to the technical field of IPTV, and discloses an IPTV-based playing control method, device and equipment and a medium, and the method comprises the steps: carrying out the semantic extraction of a description text of a public opinion event and the professional knowledge of the public opinion event, and obtaining a semantic vector of the public opinion event; generating a popularity index of the description text of the public opinion event, when the popularity index is greater than a preset index, performing emotion recognition on the description text of the public opinion event by adopting an emotion recognition model to obtain an emotion tag, and integrating the name of the public opinion platform, the description text of the public opinion event, the emotion tag and the popularity index to obtain public opinion prompt content. And splicing the semantic vector of the public opinion prompt content, the semantic vector of the alarm event and the semantic vector of the work order event to obtain a fusion vector, processing the fusion vector through a large language model, and generating a play control strategy of the IPTV live broadcast content. According to the invention, the playing control efficiency of the IPTV live broadcast content can be improved.

The invention relates to the technical field of digital assets and the technical field of data right confirmation, and discloses a scheduling scheme obtaining method and device based on digital assets, equipment and a medium, and the method comprises the steps: obtaining text information, image information and structured field information of the digital assets; performing fusion operation on the semantic vector of the text information, the semantic vector of the image information and the semantic vector of the structured field information to generate a multi-modal fusion vector of the digital assets; integrating the multi-modal fusion vector of the digital assets, the metadata set of the digital assets, the fingerprint set of the digital assets, the dependency graph of the digital assets and the strategy parameters of the digital assets to generate an uplink demand of the digital assets; processing the uplink demand of the digital assets through a dynamic scheduling strategy to obtain a plurality of candidate scheduling schemes; and determining an optimal scheduling scheme of the digital assets based on the fitness function and the plurality of candidate scheduling schemes. According to the invention, the acquisition efficiency of the optimal scheduling scheme of the digital assets can be improved.

The application relates to a resource transfer method and device, computer equipment and a storage medium. The method comprises the following steps: displaying a first transfer information acquisition interface, the first transfer information acquisition interface is an information acquisition interface in which redundancy elimination is performed on information acquisition items corresponding to at least one resource management party information as target redundant items; acquiring first resource transfer-in party information through the first transfer information acquisition interface; acquiring first resource management party information corresponding to the first resource transfer-in party according to the first resource transfer-in party information, wherein the first information acquisition item corresponding to the first resource management party information is the target redundant item; and performing resource transfer according to the first resource transfer-in party information and the first resource management party information. The method can effectively improve the resource transfer efficiency.

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.

The utility model relates to a laser radar adjusting device and system. The laser radar adjusting device comprises a motion unit, a positioning unit, an adjusting unit, a reflection unit, a presentation unit and an image acquisition unit. The device has the advantages that the adjusting unit is used for replacing manual adjustment, the cleanliness of the adjusting environment and the strength of adjusting products are guaranteed, and the product yield is increased; the image acquisition unit is used for replacing manual work to acquire broadcast and television information, human eye damage and product adjustment misjudgment caused by long time are prevented, the acquisition efficiency is improved, and the misjudgment rate is reduced; the adjusting unit is matched with the image acquisition unit, so that the adjusting time is shortened, the adjusting efficiency is improved, and the production cost is reduced.

The application relates to the computer technical field and discloses a product function display method and system based on user permission management, which are applied to a product function display system, the system comprises a server and a terminal, and the method comprises the following steps: when a user triggers a login operation through the terminal, the terminal acquires user identification information of the user according to the login operation, and sends the user identification information and terminal identification information to the server; the server receives the terminal identification information and the user identification information, and performs authentication interaction processing on the terminal identification information and the user identification information; when the authentication is successful, target permission information of the user is determined according to the user identification information and the terminal identification information, and the target permission information is sent to the terminal; and the terminal receives the target permission information, and displays page content corresponding to the target permission information. It can be seen that the application can meet the intelligent demand of the user for learning product functions in time, and realize convenient upgrading of the product and use of extensible functions.

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 invention relates to the fields of robotics and information technology, and discloses a visual servoing method, apparatus, device, and medium based on a diffusion model. The method includes: forming a training sample by combining a preset tool image, a preset teaching image corresponding to the preset tool image, and a real desired image corresponding to the preset tool image; training a diffusion model based on the training sample; stopping the training of the diffusion model when the total loss value is less than a preset value, thus obtaining a trained diffusion model; fusing the feature vectors of the current tool image and the current teaching image to obtain a second fused vector; processing the second fused vector through a decoder in the trained diffusion model to obtain the current desired image; transmitting the current desired image to the robot's visual servoing system, and controlling the visual servoing system to adjust the position and orientation of the current tool according to the current desired image. This invention can provide the current desired image to the robot's visual servoing system.

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 discloses an ECG signal acquisition method and device based on an rPPG signal, equipment and a medium, relates to the technical field of computer software, and comprises the following steps: obtaining a PPG signal based on an rPPG signal, and generating rPPG conditional coding through a PPG encoder. The low-frequency, high-frequency and spatial domain ECG tokens of the mask state are used as the current mask token, the rPPG conditional coding is used as the constraint, and the mask reconstruction is completed through a bidirectional Transformer. The mask is gradually removed according to the confidence, and the reconstruction is circularly performed until all the masks are removed to obtain target tokens. The low-frequency and high-frequency feature tokens in the target tokens are subjected to corresponding decoding and inverse short-time Fourier transform to generate a frequency domain ECG waveform; and the spatial domain feature tokens are subjected to an ECG decoder to obtain a spatial domain ECG waveform. The target ECG signal is obtained by fusing the two waveforms, and a high-precision and high-fidelity ECG signal can be obtained based on the rPPG signal.

A pneumatic-performance-quality integrated monitoring method for an aircraft under the condition of cumulus icing comprises the following steps: acquiring geometric parameters, flight state parameters and environmental parameters of the aircraft, then sequentially calculating a pneumatic flow field and icing parameters of a clean aircraft configuration, performing surface equivalent roughness mapping, and obtaining a result obtained by pneumatic recalculation after icing; and then flight performance and flight quality evaluation is performed according to a result obtained by aerodynamic recalculation after icing, when a flight performance evaluation result or a flight quality evaluation result exceeds a preset safety threshold range, a flight control strategy is triggered, and compensation control is performed on the aircraft by adjusting engine thrust, a control surface deflection angle or flight control parameters, so that the flight quality is improved. Therefore, the aerodynamic stability and the flight safety of the aircraft under the icing condition are maintained. According to the method, the calculation complexity caused by traditional ice shape geometric reconstruction and re-division can be reduced, the flight parameter acquisition efficiency after icing is improved, and the flight state monitoring of the aircraft in the cumulus icing state is efficiently realized.

The invention discloses an eight-membered cyclic alpha, beta-unsaturated ketone solalyratin B as well as a preparation method and application thereof, and belongs to the technical field of natural product chemistry and plant active ingredient extraction, and the structural formula of the eight-membered cyclic alpha, beta-unsaturated ketone solalyratin B is shown in the specification. The invention also relates to an application of the eight-membered cyclic alpha, beta-unsaturated ketone solyratin B in preparation of an antioxidant or antibacterial active preparation. The invention provides an efficient eight-membered ring alpha, beta-unsaturated ketone solyratin B separation method, the separation efficiency and the product purity are improved, meanwhile, the operation process is simplified, and the accuracy of structural identification is ensured.

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.

The application relates to the technical field of medical examination, in particular to an examination data acquisition method and system, a terminal device and a storage medium. The method comprises the following steps: acquiring and identifying the data types of corresponding examination data in a plurality of data storage libraries, and configuring data identifiers corresponding to the plurality of data storage libraries; matching the data identifiers according to a preset data detection type, generating a corresponding target data storage library according to a database connection instruction, and connecting the target data storage library; if the examination data in the target data storage library meets a target data type, acquiring corresponding examination data in the target data storage library; if the examination data in the target data storage library does not meet the target data type, acquiring corresponding heterogeneous detection data in the target data storage library; and analyzing the heterogeneous detection data to generate a corresponding data classification strategy. The examination data acquisition method and system, the terminal device and the storage medium provided by the application have the effect of improving the acquisition efficiency of examination data.

The invention belongs to the field of rural property trading, particularly relates to a rural property trading platform, and aims to solve the problems that information related to existing rural property trading is stored in different systems or platforms in a scattered manner, so that data management and integration are difficult, data acquisition and analysis complexity is increased, and the cost is low. In order to solve the problems that rural resource assets, right confirmation data, economic contracts and transaction data are difficult to organically integrate, and comprehensive analysis and decision support cannot be performed on a unified platform, the invention provides the following scheme: the system comprises an information registration module, the information registration module is connected with a publishing module, the publishing module is connected with an auditing module, and the auditing module is connected with a cloud server. According to the system, rural resource assets, right confirmation data, economic contracts and transaction data can be organically fused, so that organic fusion of dynamic data and static data is realized, and the efficiency and transparency of rural property right transaction are 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.