541 results about "Data export" patented technology

The invention discloses an automatic three-dimensional reconstruction method and system based on power transmission corridor point cloud. The method comprises the following steps: acquiring data and exporting point cloud data; noise points, outliers and ground points are removed from the acquired point cloud data of the power transmission corridor, and down-sampling is performed on the point cloud with a large data volume; performing clustering segmentation on the preprocessed point cloud of the power transmission corridor, positioning the position of a tower, determining a point cloud range of a power line, and removing point clouds of other objects on the ground; aiming at the structural characteristics of a power line and an insulator in the power transmission line, extracting point clouds of the power line, the insulator and a tower by adopting a geometric constraint principal component analysis (PCA) algorithm; performing automatic geometric model reconstruction on the tower, insulator and power line point clouds according to different reconstruction rules to generate each module grid model; and transforming the grid model of each module, restoring the grid model to the original position of the point cloud, and generating a power transmission line digital twin model conforming to the real size. According to the method, automatic segmentation, classification and real-time reconstruction can be accurately carried out on the point cloud of the power transmission corridor.

The invention discloses a tunnel face back break visual analysis method based on laser point cloud, and the method comprises the steps: carrying out the scanning operation of a tunnel through a laser scanner, and collecting the specific original rock three-dimensional point cloud model data in a tunnel construction circulation process; exporting the acquired original rock mass three-dimensional point cloud model data, and performing denoising preprocessing on the original rock mass three-dimensional point cloud model data to obtain tunnel rock mass three-dimensional point cloud model data; the rock mass three-dimensional point cloud model data also need to be subjected to space compression processing, so that the quality of the rock mass three-dimensional point cloud model data is improved; based on the rock mass three-dimensional point cloud model data, a tunnel actually-measured excavation section after construction is obtained; and weighting and calculating tunnel over-excavation and under-excavation values based on the point-to-pole distance between the tunnel design section and the tunnel actually-measured excavation section. According to the method, the back-break depth is directly calculated through the point cloud data and is bound as the point cloud attribute, so that the analysis efficiency and the result intuition are remarkably improved.

A communication system includes a server operable to communicate with vehicles located remote from the server. The server is operable to receive an indication of an event that occurs remote from the server. The indication identifies a location associated with the event. The server, responsive to receiving the indication of the event, establishes a geofence that bounds the location associated with the event. The server transmits information pertaining to the established geofence to at least one of the group consisting of (i) a vehicle within the established geofence and (ii) a vehicle within a threshold distance of the established geofence. When a vehicle that received the transmitted information is within the established geofence, the server receives, from the respective vehicle within the established geofence, information derived from sensor data captured by at least one sensor of the vehicle within the established geofence.

The embodiment of the invention relates to the technical field of information, and discloses an intelligent data acquisition method and device, a medium and a product, the intelligent data acquisition method comprises the following steps: acquiring artificial demonstration data through an exoskeleton system, the artificial demonstration data comprising video stream data, motion data and force sense data; importing the video stream data into a first large language-vision model, segmenting the video stream data into a plurality of independent task fragments, and generating independent task fragment descriptions; importing the independent task fragment description into a large language model, and generating a task label based on natural language description; and exporting the independent task segments, the task labels and the corresponding motion data and force sense data to generate intelligent data. Therefore, a low-cost, high-efficiency and large-scale intelligent data acquisition and processing method is established, and automatic conversion from human operation data to high-quality VLA training data is realized.

The invention provides a method and system for dynamically exporting Excel based on asynchronous streaming block data, and belongs to the technical field of large data volume export. Comprising the following steps: receiving a user export request, and generating a unique request ID; an export task is generated based on the export request, a task ID is returned, and an asynchronous response is made; submitting the task to a thread pool queue, and obtaining block data from a database in batches through streaming query; wherein the core thread count and the maximum thread count of the thread pool are adjusted based on a dynamic resource allocation method, and load change is smoothed in combination with a sliding window algorithm; writing the block data into an Excel file batch by batch by adopting a streaming writing technology; and after the task is completed, pushing a notification to the user side. According to the method, the rapidity, the availability and the safety during data export can be ensured when large data volume export is performed.

In various examples, occupant assessment using multi-modal sensor fusion for monitoring systems and applications are provided. In some embodiments, an occupant monitoring system comprises an occupant evaluation function that may predict at least one characteristic representative of a size of the occupant. The occupant evaluation function may include a first processing path that generates a representation of features corresponding to the occupant based on optical image data, and a second processing path that performs operations to determine a depth corresponding to the one or more features based on depth data derived from the optical image data and the point cloud depth data. In some embodiments, a three-dimensional pose detection model generates a three-dimensional pose estimate of the occupant using the optical image data, and the three-dimensional pose estimate is scaled to an absolute pose based on the point cloud depth data.

The embodiment of the invention provides a data processing method and a hardware fault prediction method. The method comprises the steps that when it is monitored that a preset trigger event occurs, a data export module obtains first data from a target register; wherein the preset trigger event is used for triggering the data exporting module to execute data exporting operation; the target register is a register which needs to export data in the plurality of registers; and the data export module stores the first data into the static memory, so that the processor reads the target data from the static memory and sends the target data to firmware in communication connection with the system-on-chip. Obtaining to-be-analyzed data of the target system-on-chip; and inputting the to-be-analyzed data into a preset fault prediction model to obtain fault prediction information corresponding to the target system-on-chip. The method is used for achieving the effects of completely storing real-time changing data in the register and carrying out hardware fault prediction according to the changing data in the register.

The invention provides a data dynamic exporting method and system based on template configuration. The method comprises the steps that a data exporting request for exporting data in a data source in a report form is obtained; verifying the user permission data in the request to generate a verification result; when the verification result is that the verification is passed, generating a dynamic SQL statement according to template metadata corresponding to the template classification data; executing paging query according to the dynamic SQL statement, and performing data processing and streaming writing on data acquired from a data source to which data to be exported belongs in batches; and when the paging query is finished and data processing and streaming writing of the data obtained in the last batch are completed, generating a temporary file, and returning a downloading link to the client for triggering downloading of the data in the temporary file and generating a report corresponding to the data export request. According to the method and the system, the template adjustment efficiency is improved, the memory consumption is reduced, and the big data export success rate is greatly improved.

The invention discloses a data outbound-oriented low-overhead multi-source risk information acquisition method and system in the technical field of data cross-border. The method comprises the following steps: S1, intelligent screening of main business risk acquisition points: based on dynamic risk entropy, business criticality and flow fluctuation are taken as screening key acquisition points; s2, linkage of communication behavior classification and risk assessment: capturing key acquisition point communication metadata based on an improved random forest algorithm, and realizing abnormal behavior detection and classification through a cooperative mechanism of feature extraction, model training, dynamic classification and feedback optimization; s3, dynamically regulating and controlling an acquisition strategy and a transmission queue, namely dynamically regulating the acquisition granularity and the transmission priority according to the risk level and the queue load, and balancing the resource overhead and the monitoring requirement; and S4, sample bias correction and closed-loop optimization: correcting sample distribution deviation through inverse probability weight, and feeding back a false alarm rate and a load state to acquisition point selection and model parameters.

The invention discloses a multi-field coupling concrete dam parameter intelligent inversion method, system and device based on deep learning and a medium, and belongs to the technical field of dam engineering safety monitoring and computational mechanics crossing. The geometry and boundary modeling unit is used for uniformly expressing a dam body-dam foundation geometric region and a boundary type; simultaneously representing a state field and a parameter field by utilizing PINN inversion, calculating a physical residual error, and implementing parameter physical feasibility constraint and prior regularization; the organization optimizer, residual drive sampling and weight self-adaption are used for training scheduling, and result review, visualization and data export are carried out through the verification and output unit. According to the method, end-to-end parameter field inversion is realized on the premise of not depending on frequent mesh generation, the calculation cost of multiple forward modeling is reduced, the non-uniqueness of inversion is inhibited, and the method has higher recognition capability for engineering concerned areas such as permeation channels and degraded zones.

Systems and methods for determining uniqueness of device identifiers are provided. The uniqueness of a device identifier may be indicated by a device quality score or grade that is calculated based on a plurality of parameters associated with a device identifier as well as evaluation rules derived based on historical data. The plurality of parameters may be associated with a network event or transaction associated with the device identifier. The evaluation rules may be derived using machine learning techniques. Based on uniqueness of a device identifier, a suitable action or measure may be taken.

The invention discloses an HTTP (Hyper Text Transport Protocol) text restoration method based on DPDK (Data Platform Development Kit), which relates to the technical field of computer networks, and adopts a multi-process decoupling architecture to respectively run processes such as flow collection and protocol analysis, fragmentation recombination and text restoration, formatted message splicing, text restoration timeout waiting and the like in independent CPU (Central Processing Unit) cores; and efficient and lock-free data transmission is carried out by using a ring mechanism of the DPDK. Different from a traditional memory splicing scheme, the data offset is calculated based on the TCP serial number, the load content is directly written into the corresponding position of the file, the problems of message disorder, packet loss, retransmission and the like are effectively solved, an atomic renaming mechanism from the file ID1 (intermediate state) to the file ID2 (complete state) is adopted, and accurate migration of the file state is ensured. Besides, the invention innovatively provides a bidirectional asynchronous scheduling mechanism based on data export and text restoration state monitoring, so that the data export process can continuously keep high throughput, and the overall processing capacity of the system is ensured.

The invention relates to the technical field of message management, in particular to a log management tracking method based on message middleware. The method comprises the following steps: constructing a message sending log recording mechanism so as to write a message generation log table when a message producer sends a message to message middleware; constructing a message consumption log recording mechanism at the message consumer node to perform repeatability verification when the message is transmitted to the consumer node through the message middleware, and transmitting the message to the actual service processing logic; updating the message state in the message consumption table after the execution of the business processing logic is completed, and generating an error processing task record at the same time; constructing a distributed log aggregation index system to establish an associated index, and forming a message full-link tracking view; and constructing a visual log management interface based on the message full-link tracking view to provide log retrieval, log data export and abnormal message retransmission control functions. According to the invention, efficient management and accurate tracking of the message middleware log can be realized.

Embodiments of the invention relate to the technical field of data processing, and disclose a PDF document generation method and apparatus, an electronic device and a storage medium, the method comprising: obtaining first page data, the first page data being determined by first HTML data input by a user on a target layout style; according to the first page data, a double linked list is constructed, and nodes in the double linked list are used for storing types, contents and styles of HTML elements; converting nodes in the double linked list into document object model (DOM) elements; and generating the PDF document according to the DOM element. By applying the technical scheme, the accuracy of exporting the HTML data into the PDF document can be improved.

The invention, which relates to the technical field of small watershed data management, discloses a multi-source data small watershed air-ground integrated intelligent monitoring and management system comprising a satellite remote sensing data acquisition subsystem, an unmanned aerial vehicle monitoring subsystem, a ground monitoring subsystem, a multi-source heterogeneous data fusion subsystem and a data intelligent supervision platform. The satellite remote sensing data acquisition subsystem is used for carrying out large-scale hydrological and ecological monitoring by utilizing a satellite remote sensing technology, and carrying out accurate retrieval according to a geographic position, a time range and a sensor type so as to find a specific data set meeting requirements; a user is allowed to browse a remote sensing image online, zoom-in and zoom-out operation is carried out on a specific area, meanwhile, multiple kinds of layer information are overlaid, the layer information comprises a topographic map, an administrative map and a road traffic map, and data export options are arranged in a subsystem of the system and comprise an original data file, a preprocessed product and a customized data packet.

An example operation may include at least one of producing, by a class-conditioned sample generator executing on at least one processor communicatively coupled to a memory on a host platform, a synthetic feature set based on a label sequence and class information derived from received data, transmitting, by the host platform, a finalized synthetic sample to a computing device when the synthetic feature set satisfies a fidelity threshold, generating, by the computing device, a fidelity score based on a comparison of the finalized synthetic sample to the label sequence and the class information, retraining, by the computing device, the class-conditioned sample generator based on the fidelity score, and validating, by the computing device, the class-conditioned sample generator by transmitting a test prompt to the host platform, receiving a synthetic response generated by the class-conditioned sample generator, and comparing the synthetic response to previously stored synthetic data to validate the class-conditioned sample generator.

The present disclosure relates to the field of signal acquisition, and in particular, to a system and method for high-density electromyographic signal synchronous acquisition. In the system, a signal acquisition module and a base station are electrically connected via a pogo pin connector and are mechanically connected via an electromagnetic lock. The pogo pin connector comprises various communication protocols and functional ports and supports various synchronous operations. Module charging, data export, state reading, parameter configuration, firmware upgrading, time synchronization, and other functions can be completed by simply inserting the module into the base station, featuring ease to use and compactness. The electromagnetic lock locks the module inserted into the base station to ensure reliable communication between the module and the base station and the safety and integrity of data files. The method is automatically implemented in the condition that the module is inserted into the base station, so as to ensure the real-time synchronization of all modules inserted in the base station with the base station. The electromyographic signal acquisition process does not depend on wireless networks or limit the scene of use to areas with network coverage, thus reducing the wireless connection power consumption, increasing the cost-efficiency, and greatly improving the synchronization reliability.

In one implementation, a device may obtain a set of OpenTelemetry data generated by instrumenting an online application. The device may form a group of OpenTelemetry data associated with a common event and comprising at least a portion of the set of OpenTelemetry data. The device may derive, using the group of OpenTelemetry data, information for display to a user interface regarding the event. The device may provide the group of OpenTelemetry data for sampling, after deriving the information for display.

The invention relates to the technical field of data visualization and report generation, and provides a complex data dynamic export method based on template configuration, a computer program product and a system.The method comprises the steps that report layout and database information are recognized by extracting metadata of historical Excel files, and an Excel template file and a corresponding JSON configuration file are generated according to the report layout and the database information; then JSON configuration is converted into a corresponding dynamic SQL statement according to selection operation of a user on the Excel template file so as to execute query, configuration only needs to be updated instead of recoding and publishing, and the development efficiency and the instant configuration capability are improved; in the data exporting process, the output sequence is determined by analyzing formula elements, and the final report data is output in batches by adopting a streaming data pipeline technology, so that the big data exporting success rate is improved. According to the complex data dynamic exporting method, the capability of flexibly and stably dynamically exporting the complex data into the Excel report can be provided for an enterprise.

The invention relates to the technical field of artificial intelligence, and discloses a data processing method and device based on a mirror data layer, computer equipment and a storage medium, and the method comprises the steps: obtaining to-be-submitted data, generating submission batch information for the to-be-submitted data based on a data exit layer, and carrying out the partition management of the to-be-submitted data, and submitting the to-be-submitted data to a specified mechanism, when it is detected that the to-be-submitted data is submitted successfully, obtaining storage receipt information returned by the specified mechanism after receiving the to-be-submitted data; and when determining that the to-be-submitted data is successfully stored based on the storage receipt information, writing the to-be-submitted data into the mirror image data layer, and performing partition management on the to-be-submitted data according to the submission batch information to complete data submission of the to-be-submitted data. In the financial insurance field, especially in the life insurance business, the mirror image data layer provides a reliable data basis for data auditing and compliance inspection, the accuracy in the data management process is ensured, manual intervention is reduced, and an insurance company is helped to meet supervision requirements.

The invention discloses an intranet data anti-leakage method based on zero trust and a related device, and belongs to the technical field of information technology and data security. The method comprises the following steps: identifying mainboard information of terminal equipment through a desk management module, limiting all unauthorized data external transmission paths, and only allowing internal white list software to be installed; an isolation wall of an intranet and an extranet is established through a network isolation module, only one network is allowed to exist at the same time, a client is deployed at a credit granting terminal and is bound with a credit granting account, and a gateway end verifies a user identity through a security center and gives a corresponding access right; the flow management and control module is used for limiting the intranet flow to only access the white list website; through an outgoing approval module, mail outgoing is allowed and file outgoing parameters are set only after approval is passed; and single management and control of an external transmission path of intranet data and blocking of a secret divulging behavior are realized. Through real-time control and safety supervision, file protection and leakage prevention of intranet data can be achieved, operation is convenient and fast, and applicability is achieved.

The invention relates to an unmanned aerial vehicle for survey based on artificial intelligence in the field of survey equipment, and the unmanned aerial vehicle comprises a survey unmanned aerial vehicle, the survey unmanned aerial vehicle carries a magnetic sheet, an electromagnetic block, a compression spring, a data storage unit and a parachute module, the data storage unit is used for temporarily storing survey data, and when the unmanned aerial vehicle is out of control in the survey process, the data storage unit is used for storing the survey data; through cooperation of a magnetic piece, an electromagnetic block and a compression spring, the storage shell and the parachute module are ejected together, parachute cloth of the parachute module is rapidly unfolded under the action of air resistance, the falling speed of the storage shell is reduced, and then the storage is protected and is not prone to being damaged under landing impact; and after the unmanned aerial vehicle is out of control in the surveying process, a worker can export surveying data before surveying the unmanned aerial vehicle is out of control after recovering the storage shell and the memory, so that the worker is assisted in querying reasons for surveying the accident of the unmanned aerial vehicle, and the influence of surveying progress is reduced.

The invention belongs to the field of digital pathological image processing, and discloses an OpenSlide-based digital pathological image processing method and a related device, and the method comprises the steps: obtaining a digital pathological image, calling an OpenSlide library to analyze a pyramid structure of the image to generate a multi-resolution hierarchy, and dynamically calculating a loaded image region based on a slice request instruction input by a user; a double-Canvas rendering mode is adopted, a bottom layer Canvas loads an image area in real time, a labeling layer Canvas independently renders a labeling path, and separation of an image and a label is achieved; and generating a closed path based on the superposed image and the annotation mode, and exporting the annotation data in a general format. According to the method, the user interaction experience is improved, the interface operation is more intuitive, the process is simplified, and the drawing mode switching is convenient; the labeling efficiency is improved, real-time adjustment of complex contours is supported, and the workload is reduced; a data export function is enhanced, effective association of annotation information is realized, and multi-format universality is supported; multi-level support is improved, level switching is smooth, loading is fast, and tool performance and user experience are improved.

A payment processing network configured for dynamic authentication integration is disclosed. The network comprises an Access Control Server (ACS) and an issuer processing system in communication over the network. The ACS is configured to receive an authentication request message (AReg) including a dynamic authentication code, extract the code, generate a validation request including the code, and transmit the validation request to the issuer processing system. The issuer processing system is configured to forward the validation request to a dynamic authentication system, receive a validation result from the dynamic authentication system, and return the validation result to the ACS. The ACS further comprises a risk calculation engine configured to receive the validation result, calculate a risk factor derived from transaction metadata, apply a risk modification algorithm that utilises the validation result and the risk factor to generate a modified risk factor, and generate an authentication response message (ARes) based on the modified risk factor for transmission over the communications network.

The invention discloses a data exporting method based on an Excel template. The data exporting method comprises the following steps: S1, configuring a user template; s2, dynamic data source connection; s3, extracting and mapping data; s4, intelligent field matching domain; s5, data cleaning and conversion; s6, file generation and distribution; through dynamic template analysis, intelligent field matching, multi-source secure connection and a multi-level verification alarm mechanism, three core problems of low efficiency, poor adaptability and weak security in a traditional data export technology are solved; the method comprises the following steps: by integrating an Apache POI library and an OpenCSV tool, covering a mainstream Excel file type; the template analysis engine ensures that the format of the exported file is completely consistent with the preset template; field similarity calculation based on the Levenshtein distance is combined with a historical use frequency weight, so that the matching accuracy is improved; and the operation and maintenance response efficiency is improved by a multi-dimensional verification and intelligent alarm system.

The invention relates to a flexible electronic skin integrated dust-breath bimodal detection system and detection method. A bimodal sensing module, a signal processing module, a wireless transmission module, a data application module, an abnormity early warning module and a power supply are integrated on a composite flexible substrate; the bimodal sensing module monitors a dust concentration characteristic signal of a working place and a breathing frequency characteristic signal of a worker in real time; the signal processing module receives the signals and carries out noise reduction and data fusion processing to obtain a data set D; the wireless transmission module transmits the data set D to the data application module in real time, performs data real-time display, historical data storage, report generation and data export functions, and supports synchronization to an occupational health management platform; meanwhile, the data application module can process data in the data set D and feed back a processing result to the abnormity early warning module, and the abnormity early warning module correspondingly triggers an early warning signal according to feedback data; according to the invention, the target can be continuously monitored, and a high-precision detection result is obtained.

The invention belongs to the technical field of Bluetooth gateways, and particularly discloses a movable Bluetooth gateway, comprising a Bluetooth module; a wireless network module; a memory chip; the USB module is used for exporting data and charging equipment; a main control chip; the display screen is used for displaying related information of the equipment; according to the mobile gateway, the main control chip, the Bluetooth module, the wireless network module, the storage chip, the USB module, the display screen and the power supply module are integrated into a whole, the compact mobile gateway with comprehensive functions is formed, and due to the modular design, the expandability and maintainability of the system are improved; in addition, data interaction among the modules is more efficient, the constraint of a power socket can be eliminated, the position can be adjusted at any time according to actual requirements, complex power line laying and installation processes are not needed, the network building time is greatly shortened, and the response efficiency is improved.

Apparatuses and methods relate generally to controlled release of information. In a method, data of a data store in a network is exported in a format having unmasked, masked and encrypted portions and outside of a security protocol of the network. The data is provided as a localized volume for access via an application executing on a device for reading outside of the security protocol. The data has the masked and encrypted portions for a protected state. The data is searched with a search vector via the application. The application is configured for localized access of the data in the localized volume. Multiple records are found in the data responsive to the search vector. A target record of the multiple records is selected responsive to one or more of the unmasked portions of the data mixed in with the masked portions and the encrypted portions of the multiple records.

The invention discloses a method and system for converting a CAD drawing into spatial data and making a map, and the method comprises the following steps: S1, data uploading: uploading a CAD file to a background server through a Web end, storing the CAD file, and detecting and verifying a CAD file coordinate system; s2, layer catalog analysis and selection configuration: analyzing a layer catalog and element primitive information of a CAD file stored in a background server, and selecting a layer to be converted; s3, constructing a multi-thread conversion task, and performing spatial data fitting on the graphic elements by using an algorithm; s4, storing the converted spatial data into a database, and constructing an attribute field and style mapping relation; s5, generating a map tile pyramid based on a dynamic slicing technology, and issuing a map service address; and S6, the front end calls the service address for rendering, and supports real-time collaborative editing and data export. According to the method, quick and efficient conversion of each layer element of the CAD file is realized, the conversion data precision is high, the quality is stable and reliable, and the data redundancy is less.

The present application provides systems and methods for adaptive network resource allocation using application prioritization and deprioritization. An application prioritization manager (APM) receives data about an application, or other contextual data, from various components, and prioritizes the application's network resources among other applications that are also prioritized. The APM generates scores for different factors that are derived from the data, such as application type, application network usage, whether an application is minimized, or whether an application is in focus, among others. The APM combines the scores for the different factors into a combined score for the application, and prioritizes the application among other applications based on their combined scores. The APM selects a prioritization mechanism for the application based on the combined score, such as traffic shaping, traffic policing, traffic scheduling, or other techniques that control aspects of the network traffic.