32 results about "Data products" patented technology

The application discloses a data product pricing method and device based on reinforcement learning, and a medium. The method comprises the following steps: obtaining the cumulative total cost and the total number of calls of a target data product, and calculating a break-even bottom price of the target product; determining a value adjustment coefficient through a preset parameter mapping relationship according to multi-dimensional value evaluation parameters, and adjusting the break-even bottom price to obtain a benchmark price; calculating a price deviation value between the benchmark price and a market median price; when the price deviation value exceeds a preset threshold, generating an expected selling price based on the current operating state parameters of the market through a reinforcement learning agent; performing a gray-scale test on the expected selling price to determine a full-amount effective state; and based on the effective expected selling price, performing the verification and cancellation of the number of calls through a blockchain in response to the number of calls paid by a buyer. The cost and value are anchored, the reinforcement learning dynamic pricing and delivery feedback closed loop are linked, and the pricing can be adjusted according to market and quality changes.

The present application relates to a data product pricing trend prediction method based on transaction behavior clustering analysis, aiming to solve the technical problems of complex transaction behavior causal relationship identification, causal mechanism dynamic evolution and trend prediction accuracy improvement. The core scheme is: through transaction behavior clustering and multi-dimensional unsupervised correlation measurement to generate a coarse-grained causal graph, combined with causal stability evaluation, conditional independence test and graph fusion to realize dynamic updating of causal relationship; further using semantic annotation path set, path distillation encoder and overall trend prediction link to form an end-to-end price interval prediction and model dynamic closed-loop optimization. This technology can effectively mine the causal structure of transaction behavior, enhance the stability of causal inference, improve the accuracy of trend prediction, and realize adaptive parameter optimization, thereby improving the intelligent level of market trend analysis.

The application belongs to the technical field of data product operation and power data asset optimization, and discloses a power data asset value dynamic application method and device based on multi-scene coupling, which comprises the following steps: constructing the interaction relationship between power generation data assets, power consumption data assets, power grid data assets and multiple application scenes, and constructing system operation core constraint conditions; quantifying the value linkage relationship between different application scenes and the adaptability of various data assets to each application scene; taking the maximization of comprehensive value as an objective function, fusing multi-scene benefits, costs and data constraints, and forming a high-dimensional nonlinear optimization problem; designing a solution method based on an adaptive improved whale optimization algorithm to output an optimal value application strategy under the premise of meeting real-time requirements. The application realizes the optimal value application and maximum benefit of power data assets in a multi-scene environment.

This invention discloses a data collaborative processing system and method based on multi-business data. The system includes: a thematic data product management module for binding specified data sources to business themes and creating report templates for those themes using the specified data sources, grouping dimensions, and statistical dimensions; a dual-path distribution module for generating a copy of the report template that supports individual modification for each authorized user; distributing conditional rules for the business theme to all authorized users; these conditional rules restrict operations on the report template content; and a conditional rendering module for providing an interactive interface based on the report template copy and the conditional rules for the business theme; receiving report generation requests input by authorized users through the interactive interface and sending these requests to an asynchronous task engine module; and the asynchronous task engine module for generating multiple reports in parallel through asynchronous tasks. This invention avoids data cross-contamination and version conflicts, improving the accuracy of data acquisition.

This application discloses a data processing method, apparatus, device, medium, and product, belonging to the blockchain field. The method includes: acquiring multiple secret shares sent by a data provider, wherein the secret shares are obtained by the data provider from splitting the lineage of a de-identified local data product, wherein the data provider includes at least one data provider, and the secret shares sent by different data providers have the same location index; and locally aggregating the secret shares with the same location index from at least one data provider to obtain a global data lineage. In this invention, each institution transmits secret shares to a secure computing node with a trusted execution environment through a secure channel, and aggregating the same portion of secret shares transmitted by various institutions to form a merged global data lineage, ensuring that the data achieves traceability while not leaking privacy information, and ensuring the security of data transmission and aggregation processes.

This invention discloses a multi-view visual depth perception method, system, and spatial intelligent data product based on fixed pixel column anchoring. The method includes: determining the position of a fixed pixel column associated with a first image acquisition unit, which is predetermined through sheet laser calibration or optical geometric configuration and is independent of scene depth; selecting an active mode (directly resolving laser stripes) or a virtual mode (fixed column anchoring guided matching) based on illumination conditions; acquiring depth information and geometric contours, and generating spatial intelligent data products through structured processing. This invention simplifies full-image matching to fixed-column guided matching, significantly reducing computational complexity; it does not simply rely on scene textures, but obtains reliable depth information by connecting strong textures at the outer edges of weak texture regions with straight lines; it can output depth maps, point clouds, contour vector data, and semantic labels, which can be directly used to train spatial intelligent models. It is applicable to fields such as autonomous driving, robot navigation, and 3D reconstruction.

The application provides an interferometric SAR satellite data query method based on space-time baseline precalculation, comprising the following steps: analyzing user order information and extracting product key identification information; screening interferometric SAR satellite product information in the order according to preset product level, imaging mode, orbit direction and other screening rules; obtaining metadata corresponding to the product identification information from the data center storage device according to a metadata specific naming format and a storage path; analyzing satellite imaging parameters and satellite orbit position information in the metadata; taking the product image with the earliest imaging time as the main image for space-time baseline calculation, and taking other product images as auxiliary images; and providing a basis for efficient application of interferometric SAR satellite data products by the user in the future, so as to precalculate space-time baseline information of the queried data products when the user queries the interferometric SAR satellite data products.

The application discloses a kind of seismic remote sensing data management method and system, it is related to earth science information technology field, including, access multi-source seismic remote sensing data, define the standardized metadata description format to each type of multi-source seismic remote sensing data, store multi-source seismic remote sensing data and corresponding standardized metadata description into data resource library;Real-time monitoring of earthquake event information, when target earthquake event is captured, the epicenter of target earthquake event is generated as dynamic space-time range, according to dynamic space-time range, aggregate multi-source seismic remote sensing data from data resource library, and construct dynamic data cube for target earthquake event;Based on dynamic data cube, generate data product through data processing workflow, record the complete processing process log of data product.The application forms integrated management scheme from data intelligent aggregation, product quality controllable to problem accurate traceability and closed-loop correction.

A method includes receiving input data from an external data source. The input data is received by a data product pipeline. The method also includes extracting a portion of the input data using the data product pipeline to produce extracted data. The method also includes transferring the extracted data from the data product pipeline to data product raw storage. The method also includes receiving the input data directly from the external data source. The method also includes transferring the extracted data and the input data from the data product raw storage back to the data product pipeline. The method also includes receiving a data product. The method also includes converting the input data, the extracted data, and the data product to converted data using the data product pipeline. The method also includes transferring the converted data to data product artifact storage.

The application discloses a hydrological data acquisition method and a virtual hydrological station, and belongs to the technical field of data processing, and comprises the following steps: acquiring multi-source heterogeneous hydrological data in a target river basin, and performing fine spatio-temporal registration containing dynamic weight fusion and nonlinear correction; extracting key hydrological features from the registered data and inputting the key hydrological features into a deep learning fusion model based on an encoder-decoder architecture to generate key hydrological parameters of a virtual station; using measured data of surrounding entity hydrological stations to update the model in real time and synchronize parameters; and calculating the probability distribution of output data of each virtual station based on Bayesian deep learning to generate hydrological data products with confidence intervals. The application realizes spatial expansion and intelligent fusion of hydrological data, can provide hydrological information with wide coverage, high precision and quantifiable uncertainty, and effectively improves the capability of hydrological monitoring and the reliability of decision support.

This application discloses a data product recommendation method, apparatus, device, storage medium, and product. The method includes: acquiring scenario demand information input by a data buyer; extracting keywords from the scenario demand information to form a target keyword set; vectorizing the target keyword set to form a first set of vectors; vectorizing text information from multiple data providers to obtain multiple second sets of vectors; calculating the similarity between the first set of vectors and each of the second set of vectors; and recommending data products to the data buyer based on the similarity. The embodiments of this application can fully meet the scenario-based needs of data buyers.

A device may analyze, by an artificial intelligence module of the intelligent dosing platform, a pattern in medication administration across a different geographic location to identify a location-based trend in pharmaceutical delivery. A device may identify, by the data fusion engine, a data package for commercial distribution to a third party based on the administration data and the location-based trend, wherein the data package comprises at least one of an aggregated data summary, a simulation result, or a prediction output. A device may package, by the data fusion engine, the identified data package into a commercial product. A device may make available, through the data marketplace interface, the commercial data product to the third party for a commercial transaction, wherein the third party is selected from a pharmaceutical entity, a healthcare provider entity, a healthcare payor entity, a regulatory authority entity, or a research organization entity.

This application provides a method and apparatus for soil moisture data fusion based on Bayesian correction. In the process of fusing multiple soil moisture data products, a Bayesian model with outstanding interpretability is introduced to solve the bias correction problem. On the one hand, it can clearly reveal the interaction mechanism between variables, which helps to understand the causes of systematic bias in multi-source soil moisture products. On the other hand, it can also provide the quantification of the uncertainty of the correction results, which greatly improves the reliability of the data products. In this way, the problems of spatiotemporal inconsistency and physical bias in multi-source remote sensing soil moisture products can be effectively solved, and high-quality soil moisture data products can be obtained.

This invention provides a method for detecting overlapping regions in 3D SAR, including collecting and processing image area data; identifying overlapping regions in each image within the area data and merging initial overlapping vector maps; using an overlapping homogeneity coefficient to compare and filter images in the planar dimension to obtain a final overlapping vector map; calculating elevation difference maps by combining processed interferometric DSM data products and point cloud DSM data products within the image area data; calculating slope difference maps by combining processed interferometric DSM data products and point cloud DSM data products within the image area data; and comprehensively verifying the final overlapping vector map, elevation difference map, and slope difference map to obtain the final overlapping region. This invention identifies and verifies overlapping regions in both planar and elevation dimensions, uses an overlapping homogeneity coefficient to filter non-overlapping regions in the 3D SAR DOM data products, and proposes a comprehensive weighting method to calculate the elevation difference between interferometric DSM data products and point cloud DSM data products to determine overlapping regions.

This invention discloses a method for generating a tool life (DOE) analysis response based on workpiece appearance grading and a tool life regression analysis method. At each rated cutting distance, workpiece appearance images are acquired and graded according to their levels, with one image corresponding to one level. Each level is then assigned a preset numerical value. For each rated cutting distance, the corresponding distance value is multiplied by the numerical value corresponding to the appearance image, resulting in a data product. The m data products are summed, and the sum is used as the DOE analysis response. This invention utilizes workpiece appearance grading and performs data processing, weighting, and summing to obtain the final result as the DOE analysis response. Furthermore, by acquiring images throughout the entire tool cutting process, it can comprehensively solve for the optimal X (tool design factor) combination over the entire tool life cycle.

The application relates to the technical field of laser radar detection, and discloses a multi-modal signal separation atmospheric parameter synchronous inversion method and system. The multi-modal signal separation atmospheric parameter synchronous inversion method comprises the following steps: collecting and pre-processing double-channel echo signals; adopting an attention mechanism neural network to separate coherent and energy detection signals; performing variational modal decomposition and Hilbert transform on the coherent signals to extract Doppler frequency shifts, and then synthesizing a wind field; using a convolutional neural network and a long short-term memory network cascade architecture to invert visibility from the energy signals; performing space-time fusion and quality control on the wind field and visibility data to generate multi-resolution grid data products; and constructing a digital twin model to monitor system states and optimize parameters. The application realizes high-precision synchronous detection of the wind field and the visibility, and improves the space-time resolution of data and the stability of the system.

This invention provides a method for spatiotemporal modeling and prediction of COVID-19 based on spatial filtering of a dynamic population flow matrix. The method includes acquiring COVID-19 data and data related to its spread; preprocessing and filtering the data products for subsequent modeling; constructing an adjacency matrix based on the spatial adjacency relationships of spatial units; constructing a population flow network adjacency matrix; constructing a temporal adjacency matrix; spatiotemporally expanding the spatial adjacency relationships; extracting and filtering spatiotemporal feature vectors; and constructing a COVID-19 regression model based on the spatiotemporal filtering of the dynamic population flow matrix. This method is used for modeling, prediction, and evaluation of COVID-19 data. This invention improves the predictive accuracy of spatiotemporal modeling of COVID-19 and provides an important reference for the automated analysis and prevention of COVID-19 and other infectious diseases.

The application relates to the technical field of data processing, and discloses a data asset management method and electronic equipment.The data asset management method comprises the following steps: acquiring one or more data products associated with a target business scenario; acquiring a business event related to each data product and financial data associated with the business event; performing attribution analysis on the business event and the financial data to determine a value contribution rate of each data product in the target business scenario; and adjusting resource allocation of the data product according to the value contribution rate.The application can improve the reliability of data asset management.

The application provides a method for obtaining a ground-based radar target characteristic data product, comprising: dividing ground-based radar target characteristics into three levels; classifying target characteristics into static characteristics and capability characteristics based on characteristic element names; obtaining data related to target characteristics from different information sources to form a target characteristic data set; determining the confidence of the obtained data related to static characteristics according to information producing units, information contents and consistency between the two; determining the weight and confidence of the data related to capability characteristics obtained from different information sources; obtaining the comprehensive confidence of the obtained data related to static characteristics based on the determined confidence; obtaining the comprehensive confidence of the obtained data related to capability characteristics based on the determined weight and confidence; and synthesizing static characteristics and capability characteristics based on the formed data set and the obtained comprehensive confidence to obtain a ground-based radar target characteristic data product containing comprehensive confidence.

The one or more embodiments of the specification disclose a method, device and electronic equipment for data product use control under three rights separation. The method comprises: receiving a use request for a target data product sent by a data product user, the data product user being a user other than an operation and maintenance domain of the target data product; obtaining information of a data product operator for controlling use rights of each sub-target data product in the target data product, the operation right of the data product operator being authorized by a data product provider having a holding right of the sub-target data product; sending a use authorization application for a sub-target data product operated by the data product operator to the data product operator; and in the case of receiving a use authorization notification corresponding to each sub-target data product, issuing a use right certificate for the target data product to the data product user, so that the data product user uses the target data product based on the use right certificate.

The present application relates to the technical field of data transaction, in particular to a data transaction intelligent quality evaluation method and system based on multi-dimensional cooperation. The quality evaluation method comprises the following steps: S1, a data transaction platform receives a data product to be traded submitted by a data seller, and matches a corresponding data buyer according to the information of the data product; S2, quality detection is performed on the data product to identify data with quality problems. By identifying the behavior information of the data buyer, the preferred quality demand of multiple different data buyers is obtained, and according to the behavior information of multiple different data buyers, mutual cross verification is performed to obtain the basic demand (i.e. implicit quality demand) of the scene where the data product is located. The basic demand and the preferred quality demand jointly divide the scoring weight proportion of different data buyers in the scene where the data product is located, so as to realize the scene quality score evaluation for the scene where the data product is located, and reduce the generation of value mismatch phenomenon.

This invention provides a method for managing railway passenger transport data, comprising: preprocessing diverse heterogeneous data to form railway passenger transport data, which is divided into statistical analysis data, model prediction data, and joint analysis data; for statistical analysis data, performing real-time or offline indicator calculations to generate real-time or offline indicators for storage and sharing; for model prediction data, constructing a prediction model for training and calculation to generate feature indicators for storage and sharing; and for joint analysis data, analyzing it through a predetermined joint analysis model to generate score indicators for storage and sharing. This invention also provides a device, storage medium, and electronic device for the full lifecycle management of railway passenger transport data. Thus, by constructing a systematic data management framework covering the entire lifecycle of railway passenger transport data, this invention improves the development efficiency, service quality, and commercial value of data products.

The application discloses a kind of on-orbit screening and compression method and device of remote sensing data based on intelligent computing on satellite, belong to remote sensing satellite data processing and data compression technical field.The method is by deploying lightweight AI model on satellite, first, the image quality of complete one scene remote sensing data is evaluated, and the data of which quality is not available is removed according to it;For the scene data of which quality is qualified, further content understanding and value evaluation are carried out, and the whole scene data of which content is not valuable is directly removed according to it;For the effective scene data of which content is valuable, then part block is carried out in scene, and different data blocks are implemented differentiated compression according to value distribution information;Finally, all compression blocks and scene level index table recording its position and compression parameters are packaged as complete data product and downloaded.The application realizes intelligent hierarchical processing of on-orbit data through configurable quality and value standards, and maximizes satellite-ground transmission efficiency under the premise of guaranteeing data availability and value density.

This invention discloses an authorization, billing, and circulation supervision method for data element transactions, applied to a data element trading platform. The method receives data product registration information submitted by a data provider, generates an authorization record based on the data user's data usage application, generates an authorization token based on the authorization record, and records the token's status. When a data user initiates a data access request, the access control module first reads the authorization token status table. If the token status is normal, it parses the authorization token to obtain the authorization record and compares the access subject, data product number, data product verification value, access fields, access time, request type, and number of accesses with the authorization record. After successful comparison, the access request is allowed, a usage record is generated, and the remaining number of calls is updated. Then, a billing record is generated based on the usage record and billing rules. A supervision record is generated based on the authorization record, usage record, and billing record, and written back to the authorization token status table.

This invention provides a method and system for generating products for a circular array solar radio imaging telescope, comprising: generating raw complex visibility function data and raw solar radio spectrum data based on the output signals of each antenna element of the telescope; obtaining calibrated data through multi-dimensional calibration of channels, phase, the entire system, and the spectrum; generating a solar radio brightness temperature image based on the calibrated complex visibility function data, and generating two types of fast-view products by combining the calibrated spectrum data; performing quality inspection on all data products, and classifying and storing qualified products after encapsulation according to standardized naming rules and metadata specifications. This invention achieves end-to-end processing from raw signals to standardized products, balancing data accuracy, real-time performance, and quality controllability, fully complying with relevant technical specifications, and adapting to the high-resolution observation requirements of the telescope.

This invention discloses a method for evaluating the spatial heterogeneity of gridded air pollution concentration data, belonging to the field of environmental monitoring. The method includes: acquiring gridded data and station data for the same area; constructing station pairs and calculating concentration differences and distances; dividing the station pairs into multiple consecutive distance segments by equal number of bins based on distance; within each distance segment, calculating correlation indicators and normalized error indicators reflecting concentration gradient differences based on valid station pairs; finally, calculating weights based on the logarithmic span of each distance segment, and weighting and integrating the segmented indicators to obtain a comprehensive error indicator and a comprehensive correlation indicator for evaluating the spatial heterogeneity of the gridded data. This invention achieves refined evaluation through "distance binning" and ensures the balance and scientific validity of the evaluation conclusions through a "logarithmic distance equal weighting" strategy, providing a precise and reliable evaluation benchmark for the spatial heterogeneity quality of gridded data products.

This invention relates to a method and system for supply and demand matching of trusted data spatial data products. For the data resource catalog published by the data provider, a preliminary data supply and demand matching degree is first calculated to identify initial data users. Then, each initially screened data user initiates a data verification request to the data provider, which then evaluates whether to accept the verification script in the request. Finally, the data provider executes the accepted verification script, and the initially screened data users construct a higher-level data supply and demand matching degree to determine whether it meets their preset verification threshold requirements, thereby realizing the supply and demand matching analysis between the initially screened data users and the data provider. This invention designs two forms of data supply and demand matching degree methods—preliminary and higher levels—and, while considering effectiveness and security, designs an automated matching workflow and data verification method to achieve automated and intelligent supply and demand analysis, completing the data supply and demand matching operation safely and efficiently.

1. The name of the design product: data simulation detection graphical user interface for electronic equipment. 2. The use of the design product: for an electronic equipment. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: design 1 front view. 5. Other views are conventional designs, and other views are omitted. 6. Design 1 is designated as the basic design. 7. The use of the graphical user interface: the interface is used to detect the security of data products. Design 1 front view is the initial interface. Design 1 interface change state diagram 1 is the interface presented after data input is completed in design 1 front view. Design 1 interface change state diagram 2 is the interface presented after clicking "simulation attack" in design 1 interface change state diagram 1, without detecting alarm. Design 2 front view is the initial interface. Design 2 interface change state diagram 1 is the interface presented after data input is completed in design 2 front view. Design 2 interface change state diagram 2 is the interface presented after clicking "simulation attack" in design 2 interface change state diagram 1, detecting alarm.

The present invention is directed to a small, lightweight artificial satellite with edge computing capabilities. The artificial satellite is configured to perform onboard georectification and generation of analytics-ready data products. The artificial satellite includes at least one sensor operable to capture hyperspectral, multispectral, and / or video image data, and an onboard processor including at least one payload processor. The payload processor is operable to perform georectification and / or position rectification of image data using one or more onboard reference images, vector maps, positional data, and / or inter-satellite information, such that the image data is spatially accurate prior to transmission.