170results about How to "Improve acquisition efficiency" patented technology

The embodiment of the invention discloses a network security alarm processing method and device, electronic equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring a network security alarm; retrieving a target text vector associated with the network security alarm in a network security domain knowledge base; the network security domain knowledge base is a knowledge base constructed after vectorization processing is carried out on network security corpora; based on the target text vector, an alarm vector corresponding to the network security alarm, a preset tool library and a large language model, obtaining a research and judgment processing flow of the network security alarm; executing a research and judgment processing flow; and obtaining a research and judgment result of the network security alarm based on an execution result of the research and judgment processing flow.

The invention provides a method for dynamically constructing a coal mine geology digital twinborn body based on multi-source heterogeneous information. Comprising the steps of AIGC-assisted geological result reading, end-to-end structured information self-adaptive generation, primary geologic body model construction through a generalized triangular prism algorithm, geometric smooth subdivision based on Kriging interpolation, special geological element dynamic updating and coal mine digital twinborn matrix generation. According to the method, the AIGC is introduced to assist in reading the geological result innovatively from the remarkable characteristics of the data intensive normal form of the geological information, and intelligent generation of structured information matched with an automatic modeling updating algorithm is realized through big data assimilation of multi-source heterogeneous information; a quick response process of information processing, primary geologic body generation, geometric smoothing, abnormal geologic body encryption and global geologic body construction is formed, and a high-precision coal mine geologic digital model is dynamically constructed by utilizing geologic information of different geologic survey stages. And the requirements of high precision, renewability and automation of the coal mine digital twinborn body are met.

The invention provides an on-orbit relative radiometric calibration coefficient obtaining method and device of a spaceborne camera, and the method comprises the steps: obtaining an on-orbit relative radiometric calibration coefficient relation model which is used for representing the relation between on-orbit relative radiometric calibration coefficients under different imaging parameters; determining a bright field uniform area and a dark field uniform area of the spaceborne camera under the first imaging parameter; on the basis of the bright field uniform region and the dark field uniform region, obtaining an on-orbit relative radiation calibration coefficient under the first imaging parameter; on the basis of the on-orbit relative radiometric calibration coefficient relation model and the on-orbit relative radiometric calibration coefficient under the first imaging parameter, on-orbit relative radiometric calibration coefficients under other imaging parameters are obtained, and the technical problem that in the prior art, the on-orbit relative radiometric calibration coefficient obtaining efficiency is low is solved.

The invention relates to the field of resource prediction, in particular to a data transmission resource prediction method based on historical data, and the method comprises the steps: obtaining the historical data transmission data when a satellite runs to different transit time windows, thereby analyzing the characteristics of data transmission behaviors, calculating the fuzzy representation parameters of the data transmission behaviors, and setting labels for sites; and determining the dimension of historical data transmission data needing to be called based on the fuzzy representation parameter, calling the historical data transmission data of the corresponding dimension, adopting a pre-trained prediction model to predict the data transmission resource demand quantity in each historical period, and verifying the validity of the prediction model for the site based on the data transmission resource receiving quantity in the corresponding historical period. And determining whether a prediction result of the prediction model is output or not, determining the demand quantity of the data transmission resources, or determining the demand quantity of the data transmission resources of the station based on a fluctuation interval of the historical data transmission resource receiving quantity. According to the method, the resource prediction method is determined by analyzing the historical data of the site, the prediction accuracy is improved, and the efficiency and the utilization rate are improved.

The invention discloses an image processing method and device, electronic equipment and a computer readable storage medium, and the method comprises the steps: obtaining a to-be-processed image which comprises a to-be-recognized first card; identifying an image area where each first card is located in the to-be-processed image; based on the image area, extracting a first card image corresponding to each first card from the to-be-processed image; performing image identification processing on the first card image of each first card to obtain an identification result corresponding to each first card; based on the identification result of each first card, card information of each first card is determined; and displaying card information of each first card through a graphical user interface provided by the terminal equipment. According to the method and the device, the step of acquiring the card information corresponding to the entity card is simplified, the acquisition time of the card information is saved, the real-time performance and the responsiveness of information acquisition are improved, and the card information acquisition efficiency is improved.

The embodiment of the invention provides a data acquisition method and device, electronic equipment and a storage medium, and belongs to the technical field of data processing. The method comprises the following steps: receiving a business data query request, wherein the business data query request comprises a screening condition and a target business name of a target business; matching the target service name with service names in a pre-configured dimension table to obtain a matching result, the dimension table comprising a plurality of service names and a service code corresponding to each service name; and under the condition that the matching result indicates that the target service name corresponds to the first service code, acquiring data related to the target service from a database according to the screening condition and the first service code. According to the embodiment of the invention, the service data acquisition efficiency can be effectively improved through the pre-configured dimension table, and the query difficulty is reduced.

The invention discloses an intelligent mine monitoring method and system based on three-dimensional visualization, and the method comprises the steps: obtaining the geological data of an ore body region, constructing a surface model, and carrying out the boundary filling of the surface model, and obtaining an ore body three-dimensional model; vegetation data and identification data of the mine surface are obtained and marked in the ore body three-dimensional model, and a mine three-dimensional model is obtained; according to the working parameters and the task process of the mining equipment, updating the mine three-dimensional model according to a preset time interval, and displaying the mine three-dimensional model in a three-dimensional visual platform; and monitoring environment information of a mine, personnel behavior information and a working state of mining equipment, identifying abnormal information, and synchronizing the abnormal information to the three-dimensional visual platform for supervision. According to the invention, visual management can be carried out on the mining area environment, the mining state and the data information, so that the mine data management efficiency and intuition are improved.

The invention relates to an interface rendering method and device, computer equipment, a storage medium and a computer program product. The method comprises the steps of obtaining skeleton configuration information and a component configuration information set of a target interface from a server according to an interface display request for the target interface; rendering an interface skeleton of the target interface according to the skeleton configuration information; generating business data acquisition requests corresponding to the data components of the target interface according to the component configuration information set, and performing deduplication summarization on the business data acquisition requests according to the business identifiers; obtaining corresponding target business data from a server according to the target business data obtaining request corresponding to each business identifier obtained by deduplication summarization; according to the component configuration information set and the target business data, determining data rendering information corresponding to each data component corresponding to the same business identifier; and according to each piece of data rendering information, respectively rendering the corresponding data component in the interface skeleton. Therefore, the interface rendering efficiency can be improved.

The embodiment of the invention relates to a training processing method of a video search model and a video search processing method and device, and the method comprises the steps: obtaining a plurality of sample videos, inputting each sample video into a preset semantic recognition model, so as to obtain a sample video description tag corresponding to each sample video; extracting video features of each sample video, and determining sample description text features of each sample video description tag; generating video fusion features according to the video features and the corresponding sample description text features, and storing the video fusion features in a preset video feature library; and according to a preset video feature library, carrying out model adoption number adjustment on a pre-constructed initial video retrieval model to obtain a trained initial retrieval model. In the technical scheme, on the basis of ensuring the reliability of the training sample data set, the acquisition efficiency of the training sample data set is improved, so that the training efficiency and the model accuracy of the video retrieval model are improved.

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 invention relates to the field of big data, and provides a data acquisition method, device, equipment and medium, the data acquisition method is applied to a server, the server establishes communication connection with a service end to realize data information transmission, and the method comprises the following steps: receiving input initial data, integrating the initial data according to data attributes to obtain a corresponding data wide table; wherein the data attributes comprise data granularity, data dimensions and data indexes; establishing a data blood relationship of the data indexes according to the data wide table; acquiring a data acquisition request from the service end; and acquiring corresponding target data from the data wide table according to the data acquisition request and each data blood relationship. The embodiment of the invention can simplify the development process, reduce the labor cost and improve the data acquisition efficiency.

The invention relates to a vehicle diagnostic data acquisition method, the method is applied to diagnostic equipment, the diagnostic equipment is connected with communication equipment, the communication equipment comprises a communication interface and at least two types of first communication modules, and the diagnostic equipment comprises at least two types of second communication modules. The communication equipment is connected with an electronic control unit of a vehicle through a communication interface, the communication interface is provided with a plurality of groups of pin pairs, and the electronic control unit sends diagnosis data to the pin pairs of the communication interface; the method comprises the following steps: sending pin communication parameters to communication equipment, wherein the pin communication parameters comprise a first identification code of a target pin pair and a first communication mode parameter corresponding to the first identification code; and receiving diagnosis data of the target pin pair through a second communication module corresponding to the first communication mode parameter. According to the method, the diagnosis data is transmitted and acquired concurrently through the diagnosis equipment and the at least two types of communication modules of the communication equipment, the data acquisition efficiency is improved, and the waiting time is shortened.

The invention discloses a chaos test case obtaining method and device, electronic equipment and a storage medium, and relates to the field of financial science and technology, and the method comprises the steps: responding to an obtained case display request, obtaining a test scene element through an element extraction model, and obtaining a test capability target through an intention recognition model; sorting the matched chaos test cases in the case database according to the test scene elements and the test capability target; and according to the test scene element and the test capability target, updating a target chaos test case selected in the display interface to display the updated target chaos test case. According to the technical scheme provided by the embodiment of the invention, the labor cost and the time cost required by the development of the chaos test case are reduced, the acquisition efficiency of the chaos test case is improved, the dependence degree of the acquisition mode on testers is relatively low, the construction complexity of the chaos test case is simplified, and the test accuracy of the chaos test case is improved.

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.

The present invention discloses a high-resolution hyperspectral video fusion imaging device and method. The high-resolution hyperspectral video fusion imaging device of the present invention comprises a lens, a spectroscopic device and a plurality of imaging chips, wherein the plurality of imaging chips comprises a full-color CCD chip and at least one pixel-level mosaic-coated CCD chip. The lens captures the reflected light of the target and then divides it into multiple beams through the spectroscopic device, and receives and converts them into electrical signals through a plurality of imaging chips respectively. The imaging method of the present invention comprises converting the problem of fusion of a high-resolution full-color image Y with a low-resolution hyperspectral image X into the problem of estimating a spectral subspace D and its subspace coefficient matrix C to realize fusion imaging of a high-resolution hyperspectral image. The present invention aims to solve the problems of difficulty in realizing high-resolution hyperspectral images and high costs, reduce the cost of acquiring hyperspectral images, and improve acquisition efficiency.

The invention discloses a depth camera assembly simulation system and method for robot joint simulation, a depth camera sensor is packaged into a sensor assembly in a UE engine to be used in an ROS2 platform, and the sensor assembly comprises an interaction layer, a communication layer, a data layer and a texture capture layer; the texture capture layer obtains and stores a scene depth map; a depth data acquisition module in the data layer acquires a depth value of each pixel in the scene depth map and converts the depth value into a general image format in opencv, and the converted image is packaged through a data format packaging module; a Fastdds communication module is integrated in the communication layer so as to acquire and publish the packaged image; a picture transmission parameter configuration module and a camera parameter configuration module are arranged in the interaction layer to configure camera parameters and picture transmission parameters, and a configuration file is stored; according to the depth camera assembly simulation system and method, the depth image acquisition efficiency is improved.

The invention discloses an after-class service AI intelligent assistant construction method and system based on a neural network, and relates to the crossing field of artificial intelligence and intelligent education. The AI intelligent assistant obtains to-be-answered information or to-be-corrected information in response to question input of a user, and answers meeting preset conditions are screened from a preset sample set through a trained multi-layer neural network model to serve as standard answers; predicting an answer corresponding to the to-be-answered information from a preset sample set through the neural network model trained by the sample set, comparing the consistency between the answer in the to-be-corrected information and a standard answer, scoring each answer score point, and calculating a total score of the question; data such as question and answer contents and homework correction conditions of the students are analyzed regularly, learning reports of the users are generated regularly, and subsequent learning promotion schemes are recommended to the users intelligently. The question and answer accuracy can be improved, and the learning efficiency and accuracy can be improved.

The invention provides unmanned aerial vehicle mounted laser radar equipment capable of adaptively selecting a GNSS signal source and an unmanned aerial vehicle. An antenna power supply module supplies power to a special GNSS antenna, outputs a current value as a preset value under the condition of entering a short-circuit protection state, and outputs a current within a preset current value range under the condition of normally supplying power to the special GNSS antenna; the current detection module detects a current value input into the special GNSS antenna in real time; the control module acquires a current value detected by the current detection module in real time, and controls the single-pole double-throw switch to be switched to the unmanned aerial vehicle GNSS source when the current value is a preset value or zero, so that the laser radar module and the data processing unit are communicated with the unmanned aerial vehicle GNSS source; and under the condition that the current value is within the preset current value range, the single-pole double-throw switch is controlled to be switched to the special GNSS antenna, so that the laser radar module and the data processing unit are communicated with the special GNSS antenna.

The invention provides a co-culture system for increasing the yield of endometrial stem cell exosomes and a method for increasing the yield of endometrial stem cell exosomes, firstly, fibroblasts are subjected to mitomycin C pretreatment, so that the cells are stagnated in G1, S and G2 stages of a cell cycle, meanwhile, RNA and protein synthesis continues to be carried out, and the endometrial stem cell exosomes are obtained; the fibroblasts are kept in a non-proliferative but metabolic active state; then, endometrial stem cells extracted from endometrial tissues in the proliferation period and fibroblasts are indirectly co-cultured through a Transwell chamber and are separated through a semi-permeable membrane, and stem cell differentiation caused by inter-cell contact reaction and fusion of the stem cells and somatic cells is eliminated; after co-culture, taking out the endometrial stem cells, putting the endometrial stem cells into a serum-free culture medium special for exosomes for separate culture, harvesting cell supernate, and purifying the exosomes; compared with the endometrial stem cells which are independently cultured in the whole process, the co-culture system disclosed by the invention has the advantages that the amplification speed of the endometrial stem cells and the exosome yield of unit quantity of cells are remarkably improved.

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 discloses a uniform-granularity coke pulverizing device and method, relates to the technical field of coke pulverizing, and aims at solving the problems that raw materials obtained in the coke pulverizing and screening process are low in granularity uniformity and large in thickness and appearance difference. The coke circulating conveying structure is arranged, coke is automatically sorted in the rotating process, meanwhile, intercepted large-particle-size coke is actively crushed, high-efficiency screening and discharging of the coke are achieved, in order to meet the requirement for particle size uniformity of the screened coke, the screened coke with difference is subjected to secondary filtering, and the screening efficiency of the coke is improved. The sieve plate of a special structure is matched with the first transmission mechanism to synchronously move, the primarily sorted coke pieces and irregular coke rolling materials are distinguished, finally, the coke pieces and the irregular coke rolling materials are discharged in a classified mode through a runner on the outer side of the ash blocking cover and are rapidly collected by an operator, and the particle size uniformity of the obtained coke is further improved.

The invention discloses a map-based economic data automatic analysis system and method, and belongs to the technical field of data analysis, and the system comprises a data collection module, a data processing module, a data analysis module and a visualization module. The data acquisition module autonomously acquires economic data and geographic information data through an API (Application Program Interface) and a web crawler technology; the data processing module is used for processing the original data by using a PythonPandas library; the data analysis module performs data analysis by using a statistical analysis tool and predicts future economic indicators; the visualization module uses a GIS tool to display an analysis result in a map form, and highlights regions with high / low economic indicators; according to the automatic economic data analysis system and method based on the map, the economic data can be efficiently collected, processed and analyzed, the analysis result can be displayed in a map mode through a GIS tool, a user can conveniently check different economic indexes, and the system and method have great significance in promoting local economic development and policy effect evaluation.

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.

The invention discloses a memory management method for reducing memory fragmentization, and relates to the technical field of memory management of a real-time operating system, the method mainly comprises the steps of heap area initialization, cache area initialization, memory allocation and the like, and the method comprises the steps of creating a linked list array, declaring a fixed-length memory pool linked list, a fixed-length memory pool and a memory block-data structure. A fixed-length memory pool cache region with the size of a plurality of memory blocks is constructed, direct memory allocation from a heap region can be avoided, variable-length memory pool management is adopted for heap region allocation in a matched manner, the frequency of heap region memory block cutting is reduced through combination of the two, memory fragmentation is reduced, the allocation speed is high, and the allocation efficiency is improved. And the memory blocks in the heap region and the memory blocks in the cache region can be recycled, so that the frequency of dividing the memory blocks in the heap region is reduced again, the memory allocation efficiency is improved, and the running requirements of a real-time operating system can be met in a matched manner.

The invention discloses a content generation method and device, equipment and a computer medium. The method comprises the steps that to-be-sorted content is acquired; dividing the to-be-sorted content into a plurality of links based on predetermined structure information; determining question and answer links in the links; and on the basis of the question information in the question-answering link and the answer information corresponding to the question information, generating the abstract content of the question-answering link, thereby improving the abstract acquisition efficiency.

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.