157 results about "Data location" patented technology

Performing charge / showback operations in a large-scale data system by scanning multiple data sources to identify data objects for processing as a unitary group with respect to common characteristics that have an impact on finances within the system. Metadata of the identified data objects are stored in a dynamic dataset that defines a single data access unit for the referenced data objects. The system processes a user query regarding cost allocations, cost forecasts, and resource usage of respective groups within an organization. The query initiates a charge-back or show-back operation that allocates costs associated with each respective usage of resources by a department or cost center, and accesses the referenced data objects through the dataset as a single unit based on data content rather than data location in a file directory of the system.

A system and method for encoding and decoding optical codes with context-aware, multi-level security. Input data is classified into security levels with associated context sensitivity requirements. The system compresses data using public and private codebooks based on security classifications, then generates optical codes incorporating both compressed data and context requirements. When scanned, the system collects environmental contextual data (location, network environment, device security, user behavior), analyzes it against embedded context requirements, and dynamically determines which security levels are accessible in the current environment. Only authorized security levels are decoded using appropriate codebooks based on both user credentials and current contextual factors. This approach enables fine-grained, context-sensitive access control that adapts to changing environments while maintaining the compression benefits and capacity advantages of the multi-level security framework.

The invention discloses a real-time video stream transmission method and device based on an unmanned aerial vehicle and electronic equipment, and relates to the technical field of unmanned aerial vehicle communication.The method comprises the steps that network state data, position information and historical transmission records of the unmanned aerial vehicle are obtained, and the historical transmission records of the unmanned aerial vehicle are obtained according to the network state data and the position information; adjusting a coding parameter of the to-be-transmitted video stream by adopting a self-adaptive coding strategy to obtain a target coding parameter, and coding the to-be-transmitted video stream based on the target coding parameter to obtain a target video stream; and screening the transmission path set based on the network state data, the position information and the historical transmission record to obtain a plurality of optimal transmission paths, and transmitting the target video stream by adopting the plurality of optimal transmission paths. According to the invention, the technical problem that the transmission delay is increased and the image quality is reduced due to the instability of the network state and the unicity of the transmission path in the prior art is solved.

This disclosure provides a data processing method and apparatus. The method, during the migration of a metadata table from a source cluster to a target cluster, detects a write operation on the metadata table, performs a checkpoint operation on the metadata table to back up the existing metadata information under the checkpoint operation, migrates the existing metadata information to the target cluster, and then replays the existing metadata information based on the corresponding log files after the write operation to obtain the target metadata information after the write operation. Finally, after the metadata table migration is complete, the corresponding data file is migrated to the target cluster. This technical solution avoids data location confusion during data migration and does not affect normal read / write operations for users.

A method and system for collecting, matching and reporting evidence related to a collision event captured on a first collision detection device associated with a vehicular transportation system. A first incident report of the collision event communicated from the first collision detection device to the cloud-based application. The first incident report includes image data, location data, and temporal data of the collision event. A collision event database of the cloud-based application is searched to locate a second incident report of the collision event. The first incident report is compiled with the second incident report when the collision event of the first incident report matches the recorded collision event of the second incident report. A collision evidence report is generated based on the compiled first and second incident reports.

The technology disclosed herein relates to a multi-link device and methods, media, and systems associated with the multi-link device. The multi-link device can establish multiple wide area network (WAN) connections with multiple base stations. The multi-link device has multiple sets of antennas, and each WAN connection is associated with at least one of the multiple sets of antennas. The multi-link device also has a local area network (LAN) interface that is capable of establishing a plurality of LAN connections. The multi-link device can determine which of the WAN connections has a highest uplink bandwidth or a lowest uplink bandwidth. In some embodiments, the multi-link device ranks each of the WAN connections based on uplink bandwidth. Further, the multi-link device can transmit various sets of data (e.g., video data, image data, audio data, location data) to the multiple base stations via the WAN connections that are concurrently active.

This invention relates to the field of data processing technology and discloses a method for monitoring the trajectory of policy data changes. The method includes: constructing a policy data model based on the policy business chain; triggering a data snapshot corresponding to the policy data model according to the workflow of the policy business chain to obtain the policy data object; detecting data change fields in the policy data object and identifying policy change data in the policy data model based on the data change fields; determining the data position of the policy change data in the policy data model and generating a policy change model based on the data position; and rendering the policy change model to obtain a policy trajectory change model. This invention also proposes a monitoring device, computer equipment, and storage medium for policy data change trajectories. This invention can improve the accuracy and efficiency of monitoring policy data change trajectories.

The invention relates to the technical field of data management, in particular to an ERP enterprise data management method and device based on big data and a medium, and the method comprises the following steps: generating an ERP enterprise data overview map and a sub-data display map of a target enterprise, and forming an initial data display map; responding to a management end request, receiving business data and classified collection information, determining a data collection dimension, positioning the business data, updating the sub-data display graph, and generating a real-time data display graph; receiving a decision request, calling a decision interface, and determining a target data type and a decision attribute according to input decision demand information; and calling a target decision strategy based on the decision attribute, traversing the real-time data display graph to obtain a target sub-data display graph, a business data layer and a data position, generating a decision support graph, and sending the decision support graph to a management end. According to the method, data integration and real-time updating of the multi-service system are realized, and the data positioning accuracy and the decision support efficiency are improved.

The present application discloses a load-balanced collaborative repair method and device for coded data, and relates to the technical field of data storage and recovery. The method include performing encoded collaborative repair on data of a damaged disk using a collaborative repair algorithm BROR according to characteristics of the damaged disk and data characteristics of intact disks; and calculating locations of data required to be transmitted by each disk using a load balancing algorithm BROR-LB based on encoded collaborative repair results, implementing data balance among nodes, and completing load-balanced collaborative repair of coded data. The present application solves problems of low data recovery efficiency and unbalanced system load in large-scale storage systems.

The present invention obtains an error correction decoding circuit (1) capable of performing chase decoding processing while suppressing an increase in circuit scale and an increase in delay. The error correction decoding circuit (1) comprises: a group division unit (30) that acquires pieces of reliability data indicating the reliability of data reproduced from a received signal by performing hard decision processing and the reliability obtained in soft decision processing, and divides the pieces of reliability data into a plurality of groups; and a sort processing unit (31) that performs, on pieces of reliability data included in each group, a first sort for extracting, in ascending order of the reliability, data positions indicating the positions of pieces of data in the received signal and corresponding to a second number of pieces of reliability data, the second number being equal to or less than a first number, and further extracts the first number of data positions by performing one or more sorts including a second sort from the data positions extracted from each group in the first sort until the data positions corresponding to the first number of pieces of the reliability data are extracted in ascending order of the reliability.

The application relates to a data migration method and device, a computer readable storage medium and computer equipment. The method comprises the following steps: obtaining corresponding original full data in a source database; inserting the identifier of the source data table corresponding to the data according to the data position in the original full data to obtain target full data; modifying the original primary key corresponding to the data in the target full data into an updated primary key, wherein the updated primary key is determined by the original primary key corresponding to the data and the identifier of the source data table corresponding to the data; migrating the target full data to a target data table in a target database; obtaining incremental data of the source database, migrating the incremental data to the target data table, and inserting the identifier of the source data table corresponding to the data according to the data position in the incremental data. The scheme provided by the application can reduce the influence of the database migration process on normal access operations of the database.

The present disclosure relates to a method and device for determining a page rendering completion time, and an electronic device, and belongs to the technical field of networks. The present disclosure can improve the accuracy of determining the page rendering completion time, so as to accurately determine the loading speed of the page. The method comprises the following steps: constructing a first array based on a first side of a target page to be loaded, wherein the data positions in the first array correspond to the pixels included in the first side of the target page; constructing a second array based on a second side of the target page, wherein the data positions in the second array correspond to the pixels included in the second side of the target page; in the case that the target content is displayed in the target page, filling the data positions corresponding to the pixels where the target content is located in the first array and the second array by using a target identifier; and in the case that the proportion of the target identifier included in the first array and the second array is greater than or equal to a preset proportion, determining that the target page is rendered. The present disclosure is applied to the scene of page rendering.

Disclosed herein are system, method, and computer program product embodiments for improving data transfer systems by using a data loader system configured to utilize a thread pool to encrypt and send data formatted according to a schema. A data loader system may receive identification of source data at a transfer source system that is formatted according to a source schema. The data loader system may further receive identification of a target data location at a transfer target system. Data at the target data location may be formatted according to a target schema. The data loader system may validate the source and target schemas by comparing a field in the source schema to a field in the target schema. In response to the validation, the data loader system may encrypting and transfer the source data to the target data location.

This application discloses a method, apparatus, electronic device, medium, and product for identifying household customers based on a federated model, relating to the field of federated learning technology. The method for identifying household customers based on a federated model includes: collecting raw customer data, wherein the raw customer data includes at least one of the following: operator data, social data, e-commerce data, vehicle usage data, location data, or smart home data; inputting the raw customer data into a preset household group identification federated model to obtain multiple sets of household group data; inputting each household group data into a preset high-value customer identification federated model to obtain high-value customer identification results, wherein the high-value customer identification results include high-value tags corresponding to the household group data. The technical solution of this application solves the problems of low accuracy and data security risks in current identification schemes for high-value household customers.

The invention discloses an artificial intelligence digital science and technology system based on big data analysis, and relates to the technical field of artificial intelligence, and the system comprises a backup early warning module which is used for collecting data in real time through a collector, and comparing whether the task attribute and task configuration of data backup are abnormal or not in real time; the pseudo data monitoring module is used for monitoring whether data artifacts exist in the data backup process or not in real time and extracting the monitored data artifacts in real time to mark pseudo data positions; and the hierarchical search module is used for receiving alarm signals of existence of the pseudo data in real time through the data receiver, searching the pseudo data in real time and tracking a crushing execution result. According to the artificial intelligence digital science and technology system based on big data analysis, it is ensured that whether backup data is abnormal or not can be judged in time and early warned during data backup, the situation of false data monitoring omission is avoided, and the accuracy of data backup of artificial intelligence digital science and technology is improved.

The invention provides a soil organic carbon estimation method and device and electronic equipment, and the method comprises the steps: obtaining the site information of a target site; the site information comprises soil properties, environment data, vegetation data, position information and land utilization data of the target site; calling an initial physical model, and performing inversion to obtain an estimated value of a key parameter of the initial physical model based on the site information of the target site in the observation year; constructing a key parameter estimator, and performing training fine tuning on the key parameter estimator; and embedding the trained key parameter estimator into the initial physical model to obtain a physical and data hybrid driven soil organic carbon simulation model. According to the invention, the unification of model precision and interpretability is realized, and the problem of poor soil organic carbon estimation effect in the prior art is solved.

This invention discloses a method for inspecting the stability of open-pit mine slopes, an inspection device for inspecting the stability of open-pit mine slopes, an inspection equipment, and a computer-readable storage medium. When the inspection equipment arrives at the target monitoring point, the method first confirms the monitoring point through identity recognition and loads the historical measurement data of the monitoring point from the local cache. Then, displacement data, tilt data, location data, and image data are synchronously collected based on a unified timestamp to form raw data records. Next, the raw data records are preprocessed and compared with historical measurement data to calculate the deformation rate and change trend. Finally, the risk level is determined by matching the deformation rate and change trend with a preset graded early warning threshold, and the corresponding graded early warning and data upload operations are executed accordingly. This realizes real-time on-site monitoring and intelligent early warning of slope stability based on mobile inspection equipment.

The application discloses a Beidou power internet of things sensor identification coding method, system, device and medium, relates to the technical field of power internet of things, and the method comprises the following steps: acquiring the home data, position data and attribute data of a target power internet of things sensor; sequentially performing basic layer coding and temporary authorization layer coding on the home data to obtain home coding information; extracting a power area grid code and Beidou longitude and latitude coordinates of the sensor from the position data to generate position coding information; respectively converting different categories of data in the attribute data into fixed-length sub-codes, splicing the fixed-length sub-codes to obtain fusion coding information; and sequentially splicing the home coding information, the position coding information and the fusion coding information into a coding prefix, taking real-time Beidou information of the sensor as a coding suffix to obtain a target identification code, thereby improving the operation and maintenance efficiency of the power internet of things device.

The invention relates to methods and systems for integrating generative artificial intelligence (AI) capabilities into Software as a Service (SaaS) platforms. It comprises maintaining AI agents with varying credentials, enabling their interaction with alphanumeric data in table structures, and implementing a hierarchical access control scheme. The system displays table structures, provides interfaces for user inputs, and allows AI agents to be added as platform users. The generative AI agents can analyze data, identify actions, and perform tasks autonomously. The invention also includes methods for proactive information gathering, interactive analysis of AI outputs, and management of AI resources as limited assets. This approach enhances SaaS functionality by enabling AI-driven task completion, data analysis, and decision-making while maintaining data security and user-specific access controls.

Methods and systems for managing systems are disclosed. To manage the systems, backups of data used by the systems may be generated and stored for future use. To limit overhead for generation and storage of the backups, portions of data may be evaluated for relative importance using an automated evaluation process. The automated evaluation process may take into account entities involved in data access chains, access frequency, data location, and / or other factors. The resulting evaluations may be used to selectively deploy limited computing resources for backing up of different portions of data.

The invention discloses a data cross-storage device migration method, device and equipment and a storage medium, is applied to a metadata server and relates to the technical field of cloud computing, and the method comprises the following steps: locking metadata of a to-be-migrated data fragment, and sending a migration preparation instruction to a first data server and a second data server, the first data server asynchronously pushes the to-be-migrated data fragments to the second data server based on the migration preparation instruction; when the migration of the to-be-migrated data fragment is completed, determining a target access server from the first data server and the second data server based on a data access request of the client for the to-be-migrated data fragment, so that the client performs data access on the to-be-migrated data fragment based on the target access server; and notifying the first data server to delete the data copy of the to-be-migrated data fragment, and updating the data position of the to-be-migrated data fragment to the second data server. Therefore, seamless migration of the distributed storage system can be supported.

The application discloses a Beidou power internet of things sensor identification coding method, system, device and medium, relates to the technical field of power internet of things, and the method comprises the following steps: acquiring the home data, position data and attribute data of a target power internet of things sensor; sequentially performing basic layer coding and temporary authorization layer coding on the home data to obtain home coding information; extracting a power area grid code and Beidou longitude and latitude coordinates of the sensor from the position data to generate position coding information; respectively converting different categories of data in the attribute data into fixed-length sub-codes, splicing the fixed-length sub-codes to obtain fusion coding information; and sequentially splicing the home coding information, the position coding information and the fusion coding information into a coding prefix, taking real-time Beidou information of the sensor as a coding suffix to obtain a target identification code, thereby improving the operation and maintenance efficiency of the power internet of things device.

A system may include a common processed data pipeline and a plurality of processors. Outputs of the plurality of processors are communicatively coupled to the common processed data pipeline. Each processor is configured to accept a plurality of input signals, and each of the plurality of input signals represents a light signal detected by a photodetector. Each processor is also configured to process the input signals to provide processed data. Each processor is also configured to output the processed data into one or more predetermined data locations of a data stream of the common processed data pipeline.

1. The name of the design product: data identification collection graphical user interface of electronic equipment. 2. The use of the design product: an electronic device. 3. The design points of the design product: the interface content of the graphical user interface in the screen. 4. The picture or photo that best indicates the design points: interface change state diagram 3. 5. The electronic equipment is a conventional design, and the rear view, left view, right view, top view and bottom view are omitted. 6. The use of the graphical user interface: the graphical user interface is used for the management, control and operation of scientific research clinical data identification collection. The front view is the display interface of the home page, the "OCR" icon option on the right side of the "blood routine" below the "screening period" on the upper left side of the middle part of the front view is clicked, and the interface change state diagram 1 is entered; the "shooting" option in the interface change state diagram 1 is clicked, and the interface change state diagram 2 is entered; the right side recognition result table row data in the interface change state diagram 2 (such as clicking the second row data on the right side) is clicked, the real-time annotation recognition reference data position in the left side diagram is marked, the interface change state diagram 3 is entered, the "mark as" option on the right side of the "sampling time" in the interface change state diagram 3 is clicked, all the recognized time data in the picture can be automatically marked as the corresponding date field of the laboratory examination form, the interface change state diagram 4 is entered, the "confirm" option at the bottom of the interface change state diagram 4 is clicked, and the interface change state diagram 5 is entered.

The invention discloses a hydrogen cyanide waste gas treatment method based on intelligent wearable equipment and electronic equipment, and relates to the technical field of harmful gas treatment.The hydrogen cyanide waste gas treatment method comprises the steps that inertia measurement data, position vector data and visual auxiliary data are obtained through the intelligent wearable equipment; determining an initial position vector according to the inertial measurement data, the position vector data and the visual auxiliary data; performing state prediction and observation updating according to the initial position vector to obtain an optimized position vector, and determining a waste gas treatment area according to the optimized position vector; and obtaining the hydrogen cyanide concentration through the intelligent wearable device, and executing waste gas treatment operation corresponding to a preset concentration interval in the waste gas treatment area according to the preset concentration interval of the hydrogen cyanide concentration. The waste gas treatment area can be determined according to the position of the operator, accurate waste gas emission is achieved, the accuracy of hydrogen cyanide detection based on the position of the operator is improved, and hydrogen cyanide waste gas treatment in the waste gas treatment area is achieved.

This invention provides an automated data fitting method and system that combines equipment position calibration. First, it collects a multi-source sensor data set of the target equipment in three-dimensional space, including equipment motion trajectory data, position coordinate offset, and environmental interference parameters. Next, it extracts features from the multi-source sensor data set to generate a target feature set containing spatial position correlation features, dynamic trajectory fluctuation features, and environmental coupling features. Then, it calls a pre-trained adaptive fitting model, inputs the target feature set for dynamic parameter matching, and generates an initial calibration parameter set. Based on the initial calibration parameter set, it generates a dynamic path sequence for equipment position calibration, triggering the equipment to perform automated position calibration according to the sequence. The calibrated verification data is then fed back to the model to update the parameters, thereby improving the accuracy, real-time performance, and adaptability of equipment position calibration.

The invention relates to an AIoT-based project progress prediction method and device and a storage medium, and the method comprises the steps: obtaining a target construction range of a to-be-predicted project and a progress impact factor of a first historical time period, the progress influence factors comprise project progress, target project amount, working states of equipment in the first type of equipment, energy data, position data and state time of the equipment in each working state; determining the effective working time of the first type of equipment according to the working state of the equipment in the first type of equipment and the state time of the equipment in each working state; determining energy consumption data of the first type of equipment according to the energy data of the equipment in the first type of equipment; determining an actual construction range according to the position data of each piece of equipment; and inputting the target construction range, the actual construction range and the project progress of the plurality of historical time periods and the effective working time and the energy consumption data of each type of equipment into a preset model for iteration so as to predict the project progress based on AIoT.

The invention provides a food inspection and detection data encryption sharing method and system, and relates to the technical field of food data security, and the method comprises the steps: obtaining food inspection and detection data, and endowing a static business identification code according to the key business attribute of the food inspection and detection data; encrypting data through a dynamic adaptation encryption strategy in combination with the currently associated real-time external service parameters to form an encrypted data block; generating a dynamic position identification code in a secure environment, and fusing and packaging the dynamic position identification code and the secure environment into a packaged secure data object; based on the security state monitored in real time, a strategy is triggered to dynamically migrate the data object between distributed storage positions, and the mapping relation between the identification code and the storage position in the encryption mapping table is synchronously updated; and when an access request is responded, firstly verifying the authentication code of the requester, positioning the data position based on the mapping relation after the authentication code passes, analyzing the data object and restoring the original detection data feedback.

Provided is a software provision device (100) that provides differential update information for old software stored in a flash memory that can be erased in units of sectors of a software update device mounted on a mobile body. A differential application position information acquisition unit (102) for acquiring differential application position information indicating a first sector to which differential data is applied; a related data acquisition unit (103) for acquiring related data of new software; and a related data position information acquisition unit (104) for acquiring related data position information indicating a second sector to which the related data is stored. A flag information generation unit (105) that generates flag information indicating whether or not the differential data is applied to the second sector on the basis of the differential application position information and the associated data position information; and a transmission unit (106) that transmits the flag information as differential update information.

The present disclosure relates to an industrial internet of things data management method and system, the method applied to a management terminal, comprising: in response to a data processing operation on an internet of things device data file, sending a corresponding internet of things device data acquisition message; obtaining returned encoded data, the pre-encoding section of the encoded data comprising a data location flag corresponding to an internet of things device data management platform, and the encoded data section of the encoded data comprising internet of things device data; according to the data location flag, sending a verification request message corresponding to the internet of things device data file; obtaining returned encoding functions corresponding to the encoded data; according to the returned encoding functions, performing decoding operation on the encoded data to obtain internet of things device data; and using a data management client to perform data processing on the internet of things device data. The safety of industrial internet of things data can be effectively ensured.