131 results about "Data subject" patented technology

The invention discloses a method for identifying an engineering drawing detail table and generating a BOM table, and belongs to the crossing field of automation technology and image processing, and the method comprises the steps: obtaining a scanning or electronic image of an engineering drawing; through preset datum line positioning, recursively detecting a nested rectangular region conforming to an area difference threshold value, and determining a title bar, a detail list region coordinate and a table image; identifying lines and cross points, analyzing the line and column boundaries of the table, and constructing a topological structure; performing character recognition by adopting multi-engine OCR integration; the characters and the cells are associated, a header is recognized through semantics, and analysis data subjected to integrity verification are generated; and automatically generating a structured BOM table in a preset standard format based on the data, and outputting an editable file. According to the method, full-process automation is achieved, manual intervention is not needed, and manual input cost and personal errors are greatly reduced.

The invention relates to the technical field of multi-modal data processing, and discloses a multi-modal data analysis method, which comprises the following steps: carrying out data cleaning and preprocessing on multi-modal data by adopting dynamic noise detection, cross-modal standardization and meta-learning driving methods; performing cross-modal feature fusion and analysis on the multi-modal data subjected to data cleaning and preprocessing through potential association between dynamic weight distribution and graph neural network mining modes to obtain a fusion feature vector with high feature association degree; obtaining a multi-modal large model through lightweight training and field fine tuning, and inputting the fusion feature vector into the multi-modal large model to obtain a multi-modal decision result; and displaying a multi-modal decision result, carrying out dynamic optimization and iteration on the multi-modal decision result, and adjusting and optimizing parameters of the multi-modal large model through a real-time evaluation and feedback mechanism. The method breaks through the efficiency and precision bottlenecks of existing multi-modal data analysis, and has the advantages of high efficiency, robustness and expandability.

The invention provides a fault diagnosis method for a conveying belt. The fault diagnosis method comprises the steps that vibration data, pressure data and temperature data in the belt running process are collected through a sensor module; carrying out denoising processing on the collected vibration data, pressure data and temperature data, and removing abnormal values; feature parameters are extracted from the data subjected to data preprocessing; the extracted feature parameters are uploaded to a private cloud server through an Internet of Things module, and a lightweight algorithm is adopted to analyze the feature parameters; according to the analysis result of the lightweight algorithm, a preset fault threshold value is matched, and the fault type of the belt is output. According to the method, multi-source data fusion and targeted feature extraction are adopted, the fault false alarm rate is reduced to 10% or below, industrial data leakage is avoided through private cloud deployment, and the deployment cost is reduced by 60% compared with public cloud; based on a sensor and an open source tool, deployment can be completed within 30 days without professional teams, and belt conveyors in different scenes such as mine underground and logistics sorting can be adapted.

The invention provides a multi-mode fusion laser directional energy deposition real-time monitoring method and system, and belongs to the technical field of additive manufacturing. Comprising the steps that real-time data collection is conducted on a molten pool area in the laser directional energy deposition process through synchronous triggering of a multi-source sensor; a distributed clock network is constructed, environment influence parameters are collected in real time in combination with a working condition sensing unit, dynamic modeling and correction are conducted on asymmetric link delay in the clock synchronization process, and space-time alignment of multi-source sensor data is achieved; after the multi-source sensor data subjected to space-time alignment is preprocessed, data-level fusion, feature-level fusion and decision-level fusion are performed in sequence. The state of the molten pool can be accurately monitored in real time, and the quality and stability of the laser directional energy deposition process are improved.

The invention belongs to the technical field of nuclear power data processing, and particularly relates to a multi-level data cleaning method for the nuclear power industry. Comprising a first hierarchy data importing and preprocessing layer, and the first hierarchy is a basic unit for nuclear power multi-hierarchy data cleaning; the second level carries out local processing layer data processing, and the data subjected to secondary cleaning is recompressed, feature codes are extracted, and then the data are transmitted to the third level; or directly forwarding the unprocessed original compressed data; the third hierarchy carries out data processing of the platform layer in the data; and the fourth level performs data processing of the data application layer, and is responsible for performing persistent storage on the data according to a standardized format after the data is subjected to full-process cleaning, compression, feature extraction and desensitization processing. The method has the beneficial effects that the method is specially customized for the nuclear power industry: special requirements of high confidentiality, network isolation, large data volume and the like of data in the nuclear power industry are fully considered, and a special cleaning and desensitization process is designed.

An illustrative data storage management system comprises a management database that stores administrative preferences and system configurations, as well as results and / or statistics of completed secondary storage operations, i.e., information needed by the system to protect customers' data and to track and recover the protected data, including secondary copies such as backup copies, archive copies, etc. The disclosed data storage management system is configured to protect its own system data subject to a very aggressive (short) Recovery Point Objective (RPO), by using an innovative infrastructure that enables the system's storage manager to fail over to any number of other failover destination storage managers, each one comprising a destination management database. An illustrative database granularly tracks whether each and every transaction log file has been successfully applied to each and every destination management database to synchronize with the source management database.

Various systems, computer-readable media, and computer-implemented methods of providing improved data privacy, anonymity and security by enabling subjects to which data pertains to remain “dynamically anonymous,” i.e., anonymous for as long as is desired—and to the extent that is desired—are disclosed herein. Embodiments include systems that create, access, use, store and / or erase data with increased privacy, anonymity, and security—thereby facilitating the availability of more qualified and accurate information. When personal data is authorized by data subjects to be shared with third parties, embodiments described herein may facilitate the sharing of information in a dynamically-controlled manner that also enables the delivery of temporally-, geographically-, and / or purpose-limited information to the receiving party. In one example, the disclosed techniques may be used to functionally separate geospatial information, such that it remains “dynamically anonymous,” i.e., anonymous for as long as is desired—and to the extent or degree that is desired.

The present disclosure involves systems, software, and computer implemented methods for data privacy. One example method includes receiving a first request to correct personal data or restrict processing of personal data of a data subject. Response data is identified that is provided by applications in a multiple-application landscape in response to a second request for access to personal data processed by respective applications in a multiple-application landscape. Relevant applications for the first request are identified based on the response data. A data correction or data restriction work package is sent to each relevant application and data correction or data restriction work package responses are received from relevant applications. An overall data correction or data restriction result is determined based on the data correction or data restriction work package responses and is provided in response to the first request.

The invention discloses a mine intelligent decision-making method based on big data analysis, and belongs to the technical field of mine intelligent operation and maintenance management. Real-time change data of a mine is acquired, and the real-time change data is provided by a multi-source heterogeneous sensor network deployed at a corresponding production environment and execution equipment of the mine; data normalization processing is conducted on the real-time change data, a preset mine digital twinborn body is updated according to the data subjected to data normalization processing, and the mine digital twinborn body is a virtual mine model constructed by data corresponding to mine geomechanical parameters, equipment mechanisms and production process nodes; and generating an optimal decision scheme for optimizing the current production process according to the updated mine digital twin, and issuing the optimal decision scheme to the execution equipment to control the execution equipment so as to realize the real-time accurate operation and maintenance effect of the mine.

A telemetry processing system in a cluster network receives telemetry data from a plurality of telemetry producers and formats it into a structured format for storage in a datastore. A telemetry producer can identify consumers to receive a new metric dataset as part of the telemetry data. This data may include sensitive data subject to compliance regulations with respect to data security and privacy. A telemetry collector validates schema of the new metric dataset and a list of consumers through an acceptance or rejection decision. If accepted, the listed consumers can receive the new metric dataset, otherwise they are blocked. This prevents the exposure of sensitive data to unvetted consumers.

The invention discloses an intelligent fusion processing method, system and device for coal mine multi-source heterogeneous data and a storage medium, and relates to the technical field of data processing and distributed calculation scheduling, and the method comprises the steps: collecting multi-source heterogeneous data, constructing a feature signature, and generating a quality score; and generating a fusion result according to the feature signature and the quality score, collecting a node state through the fusion result, calculating a reward and punishment factor, and executing dynamic scheduling by using the reward and punishment factor. According to the method, format recognition is performed on collected multi-source heterogeneous data, and the multi-source heterogeneous data subjected to format recognition is output, so that unified input of the multi-source heterogeneous data in the same processing link is realized; constructing a feature signature object and generating a quality score based on the multi-source heterogeneous data subjected to format recognition, so that quality information is transmitted along with the data in a computable form; and the fusion processing has clear input, calculation paths and output.

Aspects of the present disclosure relate to systems and methods for managing access to data in a cloud-based software platform. A first cloud-based software application generates first data associated with a user account on the cloud-based software platform. A second cloud-based software application may also be connected to the user account and request access to the first data generated by the first application. The user account sets a collection of access permissions on the first data, where the second cloud-based software application is granted access to the first data subject to the collection of access permissions.

The invention relates to the technical field of tunnel engineering, and discloses a tunnel face region point cloud scene semantic segmentation method, a medium and equipment. According to the tunnel face area point cloud scene semantic segmentation method, collected N groups of point cloud data of different tunnel face areas are converted into point cloud data of a local coordinate system with a centroid as an original point, and then tunnel point cloud label data classified into a tunnel face, a road surface and circumferential surrounding rock are manufactured; and training the improved pointnet + + model by using multiple groups of point cloud label data sets to obtain a semantic segmentation model of the point cloud scene of the tunnel face region, and subsequently inputting the point cloud data of the tunnel face subjected to coordinate transformation into the semantic segmentation model, so that a point cloud model of the tunnel face, a point cloud model of the road surface and a point cloud model of the circumferential surrounding rock can be obtained through segmentation. According to the method, the feature difference interference of different acquisition batches and different tunnel scenes is effectively reduced, and the segmentation precision fluctuation amplitude in different types of tunnel test scenes is effectively improved.

The embodiment of the invention provides a voice data processing method, a voice processing system and a smart home system. The method comprises the steps that local equipment acquires voice data; under the condition that the voice data contains sensitive information, the local equipment performs first desensitization processing on the voice data, and uploads the voice data subjected to the first desensitization processing to a server; and the server performs second desensitization processing on the voice data subjected to the first desensitization processing. Therefore, the leakage risk of the sensitive information in the voice data can be reduced, the security of the voice data is improved, and the flexibility of processing the sensitive information is improved.

The embodiment of the invention provides a service providing method between data processors and a related device, and relates to the technical field of data security. A first data processor receives a data request from a data main body; then, the first data processor responds to the data request, obtains original data of the data main body and generates a zero-knowledge proof file based on the original data, the zero-knowledge proof file comprises a data processing result, and the data processing result is used for representing the condition of the vehicle corresponding to the data main body; and sending a target message including the zero-knowledge proof file to a second data processor, so that the second data processor performs verification based on the zero-knowledge proof file in response to the service request, and provides a service for the data main body based on the data processing result when the verification result passes. The technical effect of data security during service providing is achieved.

Embodiments of the present disclosure provide a graph expansion method and device, electronic equipment and computer readable storage medium, and the specific implementation scheme is: obtaining a knowledge graph comprising a first entity, the first entity being obtained through metadata of unstructured data; in response to receiving an entity expansion request for the knowledge graph, obtaining a data subject of the unstructured data; based on the data subject and a visual operation interface, obtaining an expansion entity related to the first entity and an entity relationship related to the expansion entity; and based on the expansion entity, the entity relationship and the knowledge graph, obtaining an expansion graph. Through the present embodiment, the fusion capability of multi-source heterogeneous data in the knowledge graph is improved.

The invention discloses a display chip and a POP sound processing method, and the method comprises the steps: receiving an input digital signal through a data receiving unit in the display chip, and obtaining audio input data; the data detection unit performs anomaly detection on multiple pieces of feature information of the audio input data based on a preset detection rule to obtain a first indication signal; wherein the preset detection rule comprises a plurality of detection rules corresponding to the plurality of pieces of feature information, and the plurality of pieces of feature information are in one-to-one correspondence with the plurality of detection rules; the multiple pieces of feature information comprise pin level data, image data, HDMI data, DP data and clock signals; the first indication signal is used for indicating that feature information which does not meet a preset detection rule appears in the multiple pieces of feature information; and when the data processing unit receives the first indication signal, the audio input data is subjected to mute processing, and the audio input data subjected to the mute processing is output, so that the POP sound generated in the audio channel is eliminated, and the display effect is optimized.

The present disclosure appropriately uses a plurality of communication lines. A communication system including one or more in-vehicle devices capable of using a plurality of communication lines, and a server device (3), the server device (3) being configured to receive and transmit data on the basis of a source of generation of the data to be received and transmitted and a data traffic volume. Reference data indicating a reference for causing the vehicle-mounted device to select a communication line used for communication between the vehicle-mounted device and the outside of the vehicle from among the plurality of communication lines is transmitted to the vehicle-mounted device, and the vehicle-mounted device selects a communication line used for communication with the outside of the vehicle on the basis of the received reference data.

A system for processing privacy permissions for consumers utilizing vendor applications allows for recording, storing, and retrieving consent transactions performed by the users (data subjects) in data schemas. The system uses a number of hash-generated IDs, such that when a request is received to retrieve subject data, an organization ID (associated with the vendor or application) and identifying value (associated with the subject) are hashed to create a subject ID. The subject ID, organization ID, and a schema ID for the schema associated with the subject are hashed to create a subject data ID, which is then used to retrieve consent transactions and permissions associated with the subject.

The processing device and method for adaptive extension lookup table provided by the embodiments of the present application store a first lookup table with high precision and large quantity in a first storage unit, and dynamically maintain a second lookup table with low precision and small quantity and an anchor scaling factor in a second storage unit. A processing unit dynamically resamples the first lookup table according to the actual value distribution of parameter input data, updates the output value of the second lookup table, and calculates the corresponding anchor scaling factor. When processing subsequent data, the input value is first mapped to the coverage range of the second lookup table by using the anchor scaling factor, and then the output value corresponding to the second mapping value is determined by table lookup. Thus, in the case of limited hardware storage resources, the value interval most active for the current data can be adaptively concentrated, that is, the interpolation precision of the main data region is improved without increasing the hardware cost, and the waste of storage resources caused by the fixed anchor distribution is avoided.

A system and method for controlling a gas supply to provide gas lift for wellbore(s) using Bayesian optimization. A computing device controls a gas supply to inject gas into wellbore(s). The computing device receives first reservoir data associated with a first subterranean reservoir and simulates production using the first reservoir data, using a model for the first subterranean reservoir. The production simulation provides first production data. The computing device receives second reservoir data associated with a subterranean reservoir and simulates production using the second reservoir data, using a model for the second subterranean reservoir. The production simulation provides second production data. A Bayesian optimization of an objective function of the first and second production data subject to any gas injection constraints can be performed to produce gas-lift parameters. The gas-lift parameters can be applied to the gas supply to control injection of gas into the wellbore(s).

The invention discloses a method for rapidly completing competitive product advertisement analysis based on an AI model, and relates to the technical field of competitive product advertisement data processing. The method comprises the following steps: acquiring competitive product advertisement video data, extracting multi-modal information in the competitive product advertisement video data, and filling a predefined structured template with the multi-modal information to form a preliminary analysis result; dynamically outputting a confidence score of each key field in the preliminary analysis result based on a confidence evaluation parameter, and carrying out dynamic sample marking based on the confidence scores to realize data distribution processing; performing multi-dimensional analysis on the advertisement style obtained by dynamic evaluation in combination with the putting time and channel source information of the advertisement, and dynamically generating a putting customer trend report; and combining the field data subjected to man-machine collaborative auditing processing with the high-confidence field to generate a final precise structured data set, and generating a visual analysis report based on the data set and the on-investment customer trend report.

The invention is a computer implemented method for providing either anonymously or in a person-attributed manner personal data, offered by data subjects (10), to data requesting entities (20). The method comprising the following: making available anonymous data records (100) to the data requesting entities (20) by collecting, in a data store (30), the anonymous data records (100) generated by the data subjects (10), making available data request records (101) to the data subjects (10) by also collecting, in a data store (30), the data request records (101) generated by the data requesting entities (20), and making available data provision records (102) to the data requesting entities (20), by also collecting, in a data store (30), the data provision records (102) generated by the data processing systems (11) . The invention is furthermore a computer system carrying out the above method, a computer program, and a computer-readable storage medium.

A first image forming apparatus includes a print data acquisition section, a change section, and a print data transmission section. The print data acquisition section acquires print data from a terminal device. The change section performs change processing of a first order in the print data. The print data transmission section transmits, to a second image forming apparatus, the print data subjected to the change processing of the first order.

The invention provides a multi-source observation data fusion method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining original L0 data of satellite observation, carrying out the positioning and calibration preprocessing of the original L0 data, so as to generate L1 data, and carrying out the inversion processing according to the generated L1 data, so as to obtain L2 data; performing space-time matching on the L2 data subjected to quality control through a preset space-time interpolation method so as to correct mismatching of different data sources in time and space; and performing weighted average calculation on the data after time-space matching according to a weight distribution algorithm to obtain fused data, verifying the fused data through verification data, and performing data evaluation on the fused data by calculating a statistical index between the fused data and the verification data. According to the method, the problem of space-time mismatching of the multi-source observation data can be effectively solved, so that the fused data can more accurately reflect the real state of the atmosphere, and the availability and value of the data are improved.

A parameter estimation section 106 is configured to perform estimation, for aggregate data in which values are associated with respective regions obtained by subdividing a space and for a Gaussian process model that expresses a plurality of aggregate data of differing partition granularity. The estimation is performed based on the Gaussian process model including a spatial scale parameter of a correlation function between regions of the aggregate data and including a noise variance parameter of the correlation function, by estimating the spatial scale parameter and the noise variance parameter so as to maximize a function expressing values of the aggregate data by area integrals of a Gaussian process. A high resolution data computation section111 is configured to perform computation in the Gaussian process model including the estimated spatial scale parameter and noise variance parameter by computing high resolution data in which the resolution of the subject aggregate data is enhanced by taking area integrals of the values of the aggregate data subject to enhancement, by computation for each region obtained by subdividing the space at the granularity indicated by the target partition.

The invention discloses a surgical operation decision support method and system, and relates to the technical field of surgical operations, and the method comprises the steps: constructing a cloud database with a privacy protection mechanism, and uploading multi-source medical data to a cloud server after a data source end confirms that a privacy protection standard is satisfied; the encrypted clinical diagnosis and treatment information is uploaded to the cloud server through the data source end, a query matching request is sent to the cloud service platform, and the cloud service platform establishes an encryption and decryption engine and decrypts the clinical diagnosis and treatment information after the verification request passes; setting a weight factor of each feature for risk assessment based on the selected effective features, and constructing a risk assessment model; and outputting an evaluation result of the preoperative risk through model calculation. The method achieves the assessment and prediction of the preoperative risk of the data subject in the surgical operation, provides a scientific basis and an auxiliary decision for a doctor, achieves the comprehensive assessment, risk analysis and prediction of the data subject, and guarantees the privacy and safety of the data of the data subject.

The invention discloses a brain fatigue multi-modal evaluation method and system for a video operator, and belongs to the technical field of multi-modal data processing, and the method comprises the following steps: video data preprocessing, two-dimensional feature evaluation and monitoring result determination. The method comprises the following steps: collecting face video data of a target operator through a non-contact camera deployed in a specified operation area, preprocessing the video data, then carrying out two-dimensional feature extraction on the face video data subjected to the video data preprocessing to obtain a bimodal feature parameter, and meanwhile, carrying out two-dimensional feature evaluation on a brain fatigue state to obtain a brain fatigue state. And finally, according to a result of two-dimensional feature evaluation, judging a brain fatigue state monitoring result, constructing a dynamic self-adaptive and personalized evaluation criterion, providing operable and hierarchical decision support, and solving the problems of relatively low multi-modal data accuracy, relatively high reliability and the like in the prior art. And the reliability of mental fatigue assessment is not high.

The invention belongs to the technical field of offshore wind power environment monitoring, and particularly relates to an offshore wind power multi-source observation data processing method, system and device and a medium. The method comprises the following steps: firstly, acquiring initial multi-source observation data including meteorology, sea waves and ocean currents; then systematized integrity and rationality verification is carried out based on a preset quality control table, a double-weight quality control method is innovatively adopted to accurately recognize and process outliers, and first-hand data subjected to quality control is obtained; performing uniform format conversion and standardization processing on the data to solve the problem of heterogeneity of the multi-source data; finally, the standardized data and the background field are fused through an optimal interpolation algorithm, and a high-precision gridding fusion data field is generated. According to the method, a set of complete quality control and fusion process is constructed, so that the reliability and consistency of observation data are remarkably improved, and an accurate and reliable data basis is provided for offshore wind power environment resource assessment.

A first image forming apparatus includes a print data acquisition section, a change section, and a print data transmission section. The print data acquisition section acquires, from a terminal device, print data including any one of first band data divided with a first direction of a print target as a longitudinal direction or second band data divided with a second direction intersecting the first direction of the print target as the longitudinal direction. The change section performs change processing of the longitudinal direction of band data in the acquired print data. The print data transmission section transmits, to a second image forming apparatus, the print data subjected to the change processing of the longitudinal direction of the band data.