230 results about "Data location" patented technology

The invention relates to the technical field of data processing, and discloses a cold and hot data exchange method and system based on optical storage and a storage medium. The method comprises the following steps: performing access feature acquisition and analysis on data in the optomagnetic hybrid storage system, calculating an access life cycle factor, generating a logic interval heat evaluation result, performing temperature grading, formulating a cold and hot data placement strategy, generating a data placement mapping table, executing batch migration according to priority, and updating a data position record. According to the method, the problem of how to realize logic interval hot degree accurate identification, temperature grade dynamic grading, storage mapping optimal matching and batch migration task efficient organization under the optomagnetic hybrid architecture is solved.

The embodiment of the invention provides a memory access method and device, electronic equipment and a readable storage medium. The method comprises the following steps: receiving a cache line access request; extracting label information from a target memory address corresponding to the cache line access request, wherein the label information comprises a shared label, a private label, a group index, inter-block offset and intra-block offset; querying whether the cache line access request hits the L1 cache or not based on the label information; the group index is used for determining a target group, the shared tag and the private tag are used for determining a target cache line in the target group, and the inter-block offset is used for determining a target cache block in the target cache line; and if the cache line access request hits the L1 cache, determining a target data position in a hit target cache block based on the in-block offset, and executing a corresponding memory access request based on the target data position. According to the embodiment of the invention, on the basis of ensuring the data access efficiency, the storage space of the cache line is fully utilized, and the waste of the cache space is reduced.

The invention discloses a multi-modal robot interaction system, and relates to the technical field of robots, the system comprises a robot subsystem and a cloud processing subsystem which are in communication connection with each other, the robot subsystem comprises a multi-modal sensing module and an interaction execution module, and the cloud processing subsystem comprises a cloud processing module. The multi-mode sensing module is used for collecting target data of at least one target user and sending the target data to the cloud processing module, and the target data comprises at least one of touch data, distance data, posture data, position data, action data and voice data; the cloud processing module is used for analyzing the target data, generating an interaction instruction and sending the interaction instruction to the interaction execution module; and the interaction execution module is used for receiving and executing the interaction instruction, so that the higher expectation of the user in the aspects of emotion accompanying and personalized service is effectively met.

The invention relates to the technical field of electric vehicle charging pile management and distribution, and discloses a new energy charging pile management and distribution method and system, and the method comprises the steps: collecting charging user data, position data and environment data, and carrying out the preprocessing; and analyzing the preprocessed data, and constructing a prediction model of the charging demand of the user. And calculating the load condition of each charging pile according to a demand result predicted by the model, and adjusting a charging pile distribution strategy. According to the invention, through the steps of data preprocessing, charging demand prediction, load calculation and distribution strategy optimization, real-time monitoring and feedback and the like, intelligent management of charging pile resources is realized. The method plays a key role in improving the efficiency of the charging service, reducing overload and idle phenomena, optimizing the user experience and the like. A more intelligent, efficient and personalized charging pile management and distribution system is provided for electric vehicle users, the utilization rate of charging pile resources is effectively improved, the waiting time of the users is shortened, and the flexibility and stability of the system are enhanced.

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.

The invention discloses a drug inspection information sharing method and system based on a block chain, and relates to the technical field of drug inspection data management, and the method comprises the steps: sending an authentication request to a block chain network when a drug inspection device is started, verifying the state of the device according to a device digital identity certificate after an intelligent contract receives the authentication request, and sending the verification result to a server; generating a temporary operation token, encrypting the temporary operation token by using the equipment public key and returning the temporary operation token to the medicine inspection equipment; the medicine inspection equipment performs medicine inspection through the temporary operation token, synchronously acquires inspection data, a GPS position, an inspection timestamp and an equipment fingerprint, calculates a composite hash value, and encrypts the inspection data; and submitting the composite hash value to a block chain network, performing space-time compliance verification through an intelligent contract, obtaining a drug batch DID, and generating an on-chain block associated with the drug batch DID. According to the invention, the identity credibility of the medicine inspection equipment is ensured, and the authenticity, integrity and time-space consistency of inspection data are realized.

A fuel price determination system may receive transaction data identifying purchases, made with transaction cards and mobile transaction card applications of client devices, of fuel at fuel stations. The fuel price determination system may receive location data identifying locations associated with users of the client devices and the transaction cards, and user history data associated with prior purchases of fuel at fuel stations by the users. The fuel price determination system may process the transaction data, location data, and user history data, with a machine learning model, to determine fuel prices at the fuel stations. The fuel price determination system may determine a ranked list of particular fuel stations in a geographical area based on the fuel prices and populate, based on the location data and the ranked list, a map to identify the particular fuel stations and the fuel prices at the particular fuel stations.

The invention relates to a block backup indexing method, system and device based on a B + tree and a storage medium, and belongs to the technical field of disaster recovery backup. The method comprises the steps of intercepting a QEMU block write-in request and extracting an IO descriptor, writing block data into a disk and obtaining a physical offset, initializing a two-dimensional B + tree index structure, inserting the block IO descriptor and offset information into a two-dimensional B + tree, querying the position of the block data according to a logic offset and / or timestamp range, and deleting and updating index nodes according to a specified range. The system comprises a block data interception module, a block data writing module, a B + tree initialization module, a block data insertion module, a block data search module and a block data deletion module. According to the method, through a two-dimensional hierarchical index structure of the logic offset and the timestamp, joint efficient positioning of time and space dimensions is achieved, sharing of timestamp leaf nodes between local and global B + trees is supported, data redundancy is effectively avoided, and range query efficiency is improved.

The invention relates to a redundant data parallel preprocessing optimization method based on a heterogeneous computing platform, which belongs to the technical field of electronic information and comprises the following steps of: firstly, determining redundant data in a data preprocessing stage; secondly, effective data positions are marked in real time, and the number of effective data is counted; secondly, determining a threshold value according to the number, dimension and type of original storage data, and proposing an intelligent data structure selection strategy according to the number of effective data; and double-precision calculation is only performed on the identified redundant data once and the result is cached, and the result is directly reused in subsequent iteration. According to the method, the problems of low computing resource utilization rate, over-high cross-device communication bandwidth occupation, storage I / O bottleneck and the like caused by data redundancy in heterogeneous computing are effectively solved.

The invention discloses a material-environment coupled self-adaptive riveting parameter optimization method and system. The method comprises the following steps: acquiring force data, speed data, position data, environment data and material data in a riveting process; when the force data is greater than a preset force threshold value, adjusting the parameters of the riveting equipment to obtain stable force data; performing fluctuation mode analysis on the stability strength data to obtain an equipment state report; combining the material data with a preset strength prediction model to obtain initial prediction strength; adjusting the initial prediction force according to the comprehensive correction coefficient to obtain the optimal prediction force; and judging whether the equipment parameters need to be adjusted or not according to the predicted optimal force and stable force data to obtain a judgment result, and adjusting the riveting equipment according to the judgment result and the equipment state report. According to the method, the riveting operation stability and the equipment maintenance efficiency can be improved by predicting and adjusting the riveting force in real time and combining long-term data analysis and identification equipment abrasion and material change.

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.

The invention relates to a front-end monitoring method and device, computer equipment, a computer readable storage medium and a computer program product. According to the method, a front-end page is monitored, an identifier corresponding to front-end error information is generated under the condition that the front-end error information is monitored, screen recording data is generated under the condition that a screen recording function is started, and the front-end error information, the identifier and the screen recording data are stored in report information. After the reported information is uploaded to the server side, a worker can quickly position the screen recording data corresponding to the front-end error information through the identifier so as to check the process of the front-end error, and can also analyze the cause of the front-end error through the front-end error information; under the condition that the screen recording function is not started, after the identifier is stored in the report information and uploaded to the server side, a worker can still rapidly locate the data position where the front-end error occurs through the identifier, and therefore the front-end error is analyzed.

The invention is applicable to the technical field of data mining, and provides a deep learning-based false data positioning and recovery system for a power system, which comprises a data acquisition and standard processing module, a position detection module and a data recovery module, the data acquisition and standard processing module is used for acquiring operation parameters of the electric power system and performing cleaning and normalization processing on the operation parameters to generate standardized operation parameters; the position detection module is used for inputting the standardized operation parameters into a preset spatial-temporal feature fusion detection model and outputting a predicted position index of the false data; and the data recovery module is used for generating recovery data according to the predicted position index and the TVAE-WGANGP recovery model. According to the method, the positioning sensitivity and the data reconstruction precision in a complex attack scene can be remarkably improved, and a reliable active defense technology is provided for security protection of a smart power grid.

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 present disclosure relates to a method for transmitting traffic instructions in a mine comprising: receiving (SI) data indicative of at least one event within the mine (1) from at least one sensing unit (11) within the mine, the data comprising timing information data, position information data and observation information data, determining (S4) an impacted area (3) on a model of the mine based on the timing information data, position information data and the observation information data, determining (S5) at least one traffic rule based on the impacted area (3), transmitting (S7) at least one traffic instruction based on the at least on traffic rule to at least one receiving unit (2).

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 invention relates to a virtual container resource management method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: constructing a mapping relationship between each virtual container and a preset data structure; a data coding sequence is stored in the data structure, each data code in the data coding sequence is constructed based on resource occupation information of a plurality of virtual containers of the lowest level, and the resource occupation conditions of the virtual containers of other levels except the virtual containers of the lowest level are reflected through the data coding sequence; receiving a virtual container service issued by an upper layer service system, and analyzing virtual container resource occupation information in the virtual container service; based on the mapping relation and the virtual container resource occupation information, updating a data code of a target data position in the data structure to obtain an updated target data code sequence; the data structure is used for reflecting the occupation condition of the virtual container resources of each current level. By adopting the method, the virtual container resource management efficiency can be improved.

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 invention provides boundary point marking equipment and a monitoring method of the boundary point marking equipment. The equipment comprises a shell, a main board arranged in the shell and a reverse pulling device connected to the outer wall of the shell. A processor, and a stress sensor, a position sensor, a pose detection element and a data transceiver which are connected with the processor are integrated on the mainboard; the stress sensor detects whether the boundary point marking equipment has external force or not; the position sensor detects the position of the boundary point marking equipment; the pose detection element is used for detecting the pose of the boundary point marking equipment; the processor determines state information of the boundary point marking equipment according to at least one of detection data of the stress sensor, detection data of the position sensor and detection data of the pose detection element, and sends indication information to the data transceiver according to the state information; and the data transceiver sends prompt information to the external equipment according to the indication information. And authority and accuracy of the boundary point mark are ensured.

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.

The invention discloses a data migration method, device and equipment based on a Hadoop snapshot and a storage medium, and relates to the technical field of big data storage and processing, and the method comprises the steps: obtaining a path parameter of a data source cluster sent by a user side, and determining a data position of a to-be-processed data source based on the path parameter; creating a target snapshot of the to-be-processed data source by using a Hadoop command based on the data position, and generating a timestamp corresponding to creation of the target snapshot; and determining to-be-migrated data from the to-be-processed data source according to the target snapshot and the timestamp, and migrating the to-be-migrated data to a target cluster by using a preset thread. In this way, the migration efficiency can be greatly improved by creating the source cluster data snapshot, recognizing the incremental data according to the snapshot timestamp and processing the data transmission in parallel in combination with the multi-thread technology.

The invention discloses a model encryption method and device and a model decryption method and device, and the method comprises the steps: carrying out the parameter confusion processing of original parameters of at least one target network layer in a to-be-encrypted model, and obtaining a model after the parameter confusion processing and parameter confusion data, the parameter confusion data is used for restoring original parameters of the target network layer before parameter confusion processing; intercepting at least one target byte block from a target byte stream corresponding to the model after parameter confusion processing; performing encryption processing on each target byte block to obtain an encrypted byte block and encrypted data corresponding to each target byte block; each target byte block in the target byte stream is replaced with the corresponding encrypted byte block, the encrypted byte stream and position index data are obtained, and the position index data are used for indicating the position of the encrypted byte block in the encrypted byte stream; and integrating the encrypted byte stream, the encrypted parameter confusion data, the encrypted data and the position index data to obtain model encrypted data of the model.

The application relates to the field of data processing, and in particular to a method and device for reconstructing an expressway in an interchange area, equipment and a medium. The method comprises the following steps: the application accurately determines the interchange type by comprehensively considering the traffic engineering diagram of the current expressway, historical accident data, location information and reconstruction reasons, deeply analyzes the structural influence of the reconstruction on the existing road network, combines the current turning traffic volume and the long-term predicted traffic volume, scientifically formulates the geometric layout optimization scheme and the road technical index, and finally generates a targeted reconstruction plan, which effectively improves the foresight, rationality and safety of the reconstruction project, ensures that the expressway can better adapt to future traffic demand after reconstruction, optimizes the road network structure, and reduces the risk of traffic accidents, so that the effectiveness of the reconstruction is improved through comprehensive and detailed data analysis and design optimization.