66results about How to "Improve update efficiency" patented technology

The invention belongs to the technical field of knowledge graph construction, and particularly relates to a multi-source heterogeneous data fusion and knowledge graph automatic construction system, which comprises a semantic extraction module for extracting minimum semantic fragments from multi-source data and performing cross-source alignment to generate a symbolized semantic framework; the data purification module converts multi-source data into symbolic predicates according to the framework, filters low-evidence data and outputs a purification set; the ternary generation module inputs the initial triad candidate set into a minimum rule grammar, and extracts entities, relationships and attributes to generate an initial triad candidate set; the disambiguation calibration module generates entity two-hop topological fingerprints based on the candidate set, completes disambiguation alignment and corrects conflicts, and outputs unambiguous structured knowledge; the mapping fusion module fuses the mapping information with the minimum connected ontology, and constructs and verifies an initial mapping knowledge domain; and the incremental updating module processes newly added data, performs incremental merging and maintains consistency, and forms a complete knowledge graph. According to the method, through full-link automatic construction, efficient fusion and high-quality atlas are realized.

The invention discloses a point cloud intelligent cutting and dynamic optimization method based on edge computing, and belongs to the technical field of intelligent traffic systems and edge computing, and the method comprises the steps: collecting three-dimensional point cloud data through a multi-line laser radar disposed on an RSU; generating a three-dimensional bounding box through a three-dimensional target detection network in an RSU edge calculation unit, generating an ROI mask, expanding a buffer region, and performing adaptive region cutting on the point cloud to form an ROI point set and a background point set; a perception-driven cutting decision is realized, and ROI extraction is converted into a self-learning process based on semantic features from fixed threshold judgment; voxelizing the non-uniform resolution point cloud, generating a unique hash index for each voxel unit, comparing a hash set of a current frame with a hash set of a previous frame, extracting newly added and disappeared point sets, and constructing a differential data packet according to a change ratio; while high timeliness is kept, data redundancy is reduced, and the point cloud updating rate and the incremental transmission efficiency are improved; and dynamic optimization of communication-calculation cooperation is realized.

The invention relates to the technical field of processors, in particular to a firmware updating method and system and electronic device.The firmware updating method comprises the steps that a first control module sends a firmware updating instruction and an updating file comprising firmware to be updated and an acceleration module needing firmware updating to a second control module through a first bus protocol; the second control module obtains an update instruction and an update file, switches the update link of the firmware by sending a selection instruction to the target modules, and transmits the to-be-updated firmware to the corresponding target modules in parallel through the firmware update link by responding to the fact that the number of the target modules is multiple, wherein the transmission rate of the first bus protocol is higher than that of the second bus protocol. According to the method, the technical problems of low firmware updating speed and low efficiency of the processor are solved, and the technical effect of improving the firmware updating speed of the processor is achieved.

The invention discloses an account state updating method and device and a nonvolatile storage medium. The method comprises the following steps: receiving no-disturbing state information; determining a target account corresponding to the no-disturbing state information, a target no-disturbing type corresponding to the target account and target state data; based on a preset database, querying storage data corresponding to the target no-disturbing type corresponding to the target account to obtain a query result, the preset database storing a historical no-disturbing type and historical state data of the target account; determining a change operation type based on the target state data and the query result; and based on the change operation type, the target no-disturbing type and the target state data, updating the state of a target account in a preset database. According to the method and the device, the technical problem of relatively low updating efficiency caused by the fact that different methods need to be called for updating based on different non-disturbing states for updating the non-disturbing states at present is solved.

This invention relates to the field of Internet of Things (IoT) technology, providing a large-scale IoT system, method, and medium for remote firmware updates of sensors. The system includes a sensor management platform configured to: determine multiple sensor update groups based on data characteristics of multiple sensors and their geographical locations within an industrial grid area; determine the update priority of each sensor update group based on its task and transmission characteristics; determine update parameters for the multiple sensor update groups based on update priority, firmware characteristics, and channel state distribution; and generate update instructions and firmware update packages based on the update parameters, and control multiple sensors in the multiple sensor update groups to perform firmware updates. The method can be executed after being read from computer instructions stored on a computer-readable storage medium. This invention enables secure, reliable, and continuous large-scale sensor firmware upgrades under complex industrial network conditions.

The invention relates to the technical field of block chains, and provides an account state data concurrent updating method, electronic equipment and a computer program product. The method comprises the following steps: determining each to-be-updated account of which the state data needs to be updated; sorting the accounts to be updated according to a sequence rule of storing the account state data by each leaf node of the tree structure data; for each to-be-updated account, distributing a state updating operation of the to-be-updated account to an updating task of a to-be-updated leaf node corresponding to the sequence of the to-be-updated account in each leaf node; and concurrently executing the updating task of each to-be-updated leaf node so as to complete the state updating operation of each to-be-updated account. According to the method, the consistency of the updated account state data of each block chain node can be improved while the data updating efficiency is improved by adopting tree structures such as a B + tree and the like.

An intelligent tool car relates to the technical field of tool cars. According to the intelligent tool car provided by the utility model, paper drawings are replaced by electronic drawings by combining existing hardware modules. Therefore, automatic updating of online drawings is realized, resource waste is reduced, and drawing retrieval and updating efficiency is improved. Furthermore, the tool is intelligently associated with the drawing, so that the operation error and the tool loss rate are reduced, and the anti-loss management of the tool can be realized. Furthermore, through the modular design and the plug-and-play characteristic of existing hardware, the manufacturing cost of the equipment is reduced by 30%, development programs do not need to be customized, the equipment can be directly adapted to management systems of different workshops, and the popularization threshold is low. The system is suitable for non-standard processing scenes such as digital intelligent plate cabinet workshops and the like, and is used for solving the problems of lagging drawing management, low tool use efficiency, resource waste and the like.

The application belongs to the technical field of artificial intelligence, and relates to a data updating method, comprising: monitoring and processing key elements to obtain corresponding element change information; performing clause screening processing on a clause library based on the element change information to obtain original clauses that meet upgrade conditions; performing updating processing on the original clauses based on the element change information to obtain corresponding first clauses; performing compliance verification on the first clauses based on a compliance verification strategy; if the first clauses pass the compliance verification, performing conflict verification on the first clauses based on a conflict detection strategy; if the first clauses pass the conflict verification, performing clause optimization processing on the first clauses based on an effectiveness rule to obtain corresponding target clauses; and performing output processing on the target clauses. The application also provides a data updating device, a computer device and a storage medium. The application can be applied to a clause updating scene in the fields of financial technology and medical and health insurance, and effectively improves the clause updating efficiency.

The application discloses a configuration item updating method and device, a vehicle and a readable storage medium. The method comprises the following steps: in response to a received point inspection instruction sent by a cloud, obtaining configuration item blocks of each block node; signing the configuration item blocks of the block nodes to obtain target signature values of the block nodes; sending the target signature values of the plurality of block nodes to the cloud to enable the cloud to compare the target signature values of the block nodes with verification signature values and obtain a comparison result, and generating an updating request for a target block node which is inconsistent according to the comparison result; and in response to the updating request of the cloud, sending the configuration item blocks of the target block node to the cloud to enable the cloud to update backup configuration item blocks of the target block node according to the configuration item blocks of the target block node. In the application, the vehicle only needs to send configuration items in inconsistent configuration item blocks to the cloud, thereby saving the service bandwidth of the cloud and improving the updating efficiency.

The application discloses an engineering structure digital twin construction and updating method and device suitable for sparse monitoring data, equipment and a storage medium, relates to the technical field of digital twin, and comprises the following steps: arranging a plurality of measuring points in the linear elastic region of an engineering structure, and obtaining internal measuring point information; a first mapping relationship between the internal measuring point information and the combined effect of the force of the non-linear elastic region on the linear elastic region is established, a combined time series data set is obtained based on the first mapping relationship and sparse environmental parameters; based on the combined time series data set, an associated model of environmental load and structure response is obtained; based on the far-field environmental parameters and the associated model, the implicit environmental parameters are processed through black-boxing, the estimation of the environmental load and the prediction of the structure response are realized, the dependence on explicit modeling of the local environmental parameters which are difficult to measure is reduced, the influence of the local environmental parameters is hidden in the associated model through the black-boxing processing, and the updating and prediction efficiency of the digital twin model under the condition of sparse monitoring data is improved.

The application discloses a flashing file generation method and device, equipment and a storage medium, and belongs to the computer technical field. The application obtains application layer code corresponding to to-be-updated software, controls first script running, generates a compilation file based on the application layer code, controls second script running, generates a flashing file based on the compilation file, and enables an upper computer to update the to-be-updated software based on the flashing file. Therefore, the application completes the compilation of the to-be-updated software through the first script, and on this basis, the flashing file which can be directly applied to the to-be-updated software update is obtained through the second script, the process of generating the flashing file is simplified, and the software updating efficiency is improved.

The application relates to the field of building modeling, and discloses a traditional dwelling-oriented BIM component family library parameterization and refined modeling method, which comprises the following steps: step 1, collecting multi-source point cloud data of a traditional dwelling, wherein the multi-source point cloud data comprises overall point cloud and detailed point cloud; step 2, pre-processing and component segmentation are performed on the multi-source point cloud data, a unique component number is assigned to the segmented component, and a component feature parameter data set is generated; and step 3, BIM family library matching and refined model reconstruction are completed based on the component feature parameter data set and pyRevit driving. The application has the following advantages: the overall space information and the detailed geometric information of components of the traditional dwelling can be well balanced, the repeatability of component recognition and parameter extraction can be improved, the work of manual repeated component family building and component-by-component arrangement can be reduced, the modeling efficiency can be improved, the editing, reuse and incremental updating of the model can be realized through parameter driving and component number association, and the updating efficiency of the model can be effectively improved.

The invention relates to a multi-cluster service parameter updating method and device, equipment and a storage medium. The method comprises the following steps: acquiring cache configuration information of a target service from a cache region of a region cluster; generating a configuration parameter acquisition request of the target service based on the cache configuration information; on the basis of the configuration parameter acquisition request, acquiring an update configuration parameter corresponding to the target service from a regional database of the regional cluster; the update configuration parameters are generated by a main cluster corresponding to the regional clusters and synchronized to a regional database of each regional cluster which corresponds to the main cluster and deploys the target service; based on the update configuration parameters, performing parameter update on the target service in the regional cluster; the updated configuration parameters are used for the target service in the regional cluster to execute the target task of the target service. By adopting the method, the multi-cluster service parameter updating efficiency can be improved.

This invention relates to the field of aquatic ecological monitoring technology, specifically to an in-situ intelligent identification method and system for algal communities. Based on the theory of dynamic system nonlinear mapping and knowledge-driven control, an environment-feature dynamic mapping benchmark model and a set of biological constraint rules are constructed. Through the synchronous acquisition of multimodal features and environmental parameters, multi-level quality self-checks are performed. A dual-loop dynamic correction mechanism is adopted: the inner loop combines biological rules to interpolate and recorrect features, while the outer loop verifies the logical consistency between modes, generating a high-confidence reference feature model. A fusion confidence score is calculated by weighted fusion of multimodal similarities, and hierarchical decision-making is performed. The identification results are constructed into an environment-feature-category triplet knowledge base, asynchronously driving incremental updates of the model and rule set, continuously improving the system's adaptability and identification accuracy. This method significantly enhances the dynamic response capability and long-term stability of algal monitoring.

The application discloses a blockchain operation parameter updating method and related equipment. The method comprises the following steps: acquiring at least one preliminary updating block in a blockchain network, each preliminary updating block being generated by a blockchain node in the blockchain network by using a first blockchain operation parameter, the first blockchain operation parameter being a parameter expected to be used when the blockchain network is operated; analyzing each acquired preliminary updating block to obtain at least one first blockchain operation parameter; integrating each first blockchain operation parameter to obtain a second blockchain operation parameter; generating a determined updating block by using the second blockchain operation parameter, and performing parameter updating processing in the blockchain network based on the second blockchain operation parameter after the determined updating block passes the consensus of the blockchain network. In this way, the updating efficiency of the blockchain operation parameter can be improved, and the availability of the blockchain network in the parameter updating process can be improved.

The application discloses a pipeline corrosion inhibitor film forming device based on an electret composite lining, which comprises a pipeline, a water injection nozzle arranged in the pipeline, and an electret composite lining assembly arranged on the inner wall of the pipeline below the nozzle; the electret composite lining assembly is composed of an electret layer close to the inner wall of the pipeline and a protective layer covering the electret layer. The electret composite lining is adopted to form a stable electrostatic field and polarization effect near the wall, so that the enrichment, spreading and updating efficiency of the fog drops containing the corrosion inhibitor close to the wall are improved, and the wall film coverage and residence time are improved.

The application discloses a flight seat state cache updating method, system, device, medium and product, the method comprises the following steps: setting the HOST parameter to which the passenger service system of each airline company belongs; obtaining the flight seat state from the cache according to the flight query request, and putting the flight query information corresponding to the flight seat state whose cache is invalid into the corresponding to-be-grouped flight queue according to the belonging HOST; monitoring the TPS usage of each HOST in real time, obtaining the effective flight from the corresponding to-be-grouped queue and sending a request message to the HOST when the TPS usage of a certain HOST is less than the TPS threshold; receiving the return of each HOST and judging whether the return is abnormal, and updating the flight seat state in the normal return to the cache. The application can flexibly control the query amount without changing the HOST capacity, maximally improves the cache updating efficiency, and improves the cache accuracy.

Embodiments of the present application disclose a data management method and device, electronic equipment and a computer readable storage medium. The method comprises obtaining an initial coding table, saving the initial coding table as a target format file, and in response to an opening instruction, calling a text editor instruction or a table tool instruction, opening the target format file based on an opening mode corresponding to the opening instruction, so that the use and modification of instructions in the target format file are more convenient. Meanwhile, after the target format file is modified, the modified content is received and the modified target format file is saved, so that the modified content of the instructions in the target format file can be updated in time, the updating efficiency is high, and the use accuracy of the instructions is improved.

The invention relates to the technical field of machine learning, and discloses an image processing method and device, equipment and a medium, and the method comprises the steps: extracting the image features of a target image, recognizing the coding vector of a task node in an image recognition task flow, determining an image reasoning path of a preset image reasoning model according to the coding vector, acquiring the corresponding image quality index of each task node in the image reasoning model, determining the node weight of each task node according to the performance index, and performing target identification processing on the target image according to the image reasoning path to obtain the node output of each node in the image reasoning path, and calculating node loss values of each node output and a preset real label, performing weighted summation to obtain a total loss value, determining a to-be-updated parameter according to the image reasoning path, optimizing the to-be-updated parameter in combination with the total loss and the image features to obtain an updated image reasoning model, and applying the updated image reasoning model to processing of a new image to output an identification result. According to the invention, the efficiency and accuracy of image processing are improved.

This invention relates to the field of IoT device identification and machine learning technology, and proposes an IoT device identification method and system based on incremental federated learning. The method includes: Step S1, each gateway node preprocesses and extracts features from network traffic to generate local feature vectors; Step S2, a single-layer self-organizing incremental learning neural network is used to dynamically cluster the feature vectors, and prototype data is selected to construct a local prototype set; Step S3, each node uploads the prototype data to a central server, which aggregates and distributes the global prototype set; Step S4, each node combines local data and global prototype data to perform local incremental training on the global model and uploads the model parameters; Step S5, the server uses a federated averaging algorithm to aggregate the model parameters, generate a new global model, and distributes it, repeating S4 to S5 until convergence; Step S6, if identification fails when a new device connects, the local clustering model is updated and a new round of training is triggered, enabling the global model to acquire the ability to identify new devices. The system includes: multiple gateway nodes (including data preprocessing, feature extraction, incremental clustering, and local training modules) and a central server (including data aggregation, model aggregation, and model distribution modules). Through the above scheme, the present invention achieves collaborative device identification that dynamically adapts to new device access, avoids catastrophic forgetting, and protects data privacy.

The invention provides a data synchronization method and device, equipment and a storage medium, and belongs to the field of data storage, and the method comprises the steps: responding to a data updating log of a data lake table corresponding to a data lake, and obtaining a data change item in the data lake, the data change item at least comprising one of a data addition item, a data deletion item and a data modification item; performing data segmentation on data in the data updating item to obtain a plurality of data packets; performing statement format conversion on each data packet to obtain a plurality of target data packets in a target statement format, the target statement format being materialized view data in a data format supported by the OLAP engine; and sending each target data packet to an OLAP engine, so that the OLAP engine performs materialized view data updating based on each target data packet. The efficiency of updating the materialized view data is improved. The method can be applied to the technical fields of medical treatment and finance, and the efficiency of updating materialized view data in financial business and medical business is improved.

The invention provides a dynamic knowledge graph updating method based on cross attention and a model training method and device.The updating method comprises the steps that tetrad data of a current time slice and a historical knowledge graph are input into a model, and structured time sequence data are generated by influencing modeling, and the local association information and the random initialization information of the new entity are fused to generate an initial feature. Then, the model constructs propagation information according to the new entity features and historical entity features, and extracts static period information in combination with historical accumulated time sequence signals; and finally, interacting the to-be-updated entity features with the propagation information through a cross attention mechanism, and fusing the to-be-updated entity features with the periodic information to generate updated entity features. Semantic alignment of new knowledge of the knowledge graph and the historical period can be achieved, disastrous forgetting is effectively avoided, meanwhile, the knowledge graph updating efficiency and reliability can be effectively improved, and the resource occupancy rate of computing equipment is reduced.

This invention discloses a data updating method, apparatus, device, and medium. The method includes: acquiring at least one columnar data file corresponding to original data; the columnar data file includes a data index and at least one data row group; acquiring data to be updated and determining the primary key of the data to be updated; selecting a columnar data file to be updated from each of the columnar data files based on the primary key and data index of the data to be updated, and determining the data row group to be updated in the columnar data file to be updated; updating the data row group to be updated in the columnar data file to be updated based on the data to be updated, thereby obtaining a target columnar data file. This solution improves the updating efficiency of columnar data files.

The invention discloses an empty parking space boundary detection and map updating method and device based on a grid map, equipment and a storage medium, and the method comprises the steps: carrying out the time synchronization of an empty parking space corner point, a historical frame obstacle fusion point cloud and positioning data, and obtaining synchronous data; empty parking space angular points and historical frame obstacle fusion point clouds in the synchronous data are converted into a world coordinate system, and world system empty parking space angular points and world system point clouds are obtained; constructing a rectangular search area around the target parking space based on the world system empty parking space angular points; based on the world system point cloud, boundary point detection is carried out in the rectangular search area, and a boundary point set representing the boundary of the target parking space and the obstacle is obtained; and locally updating the grid map based on the boundary point set and the world system point cloud. Compared with the prior art, the parking space boundary detection accuracy and the map updating efficiency are improved, and then the parking decision safety and reliability are improved.

The application discloses a connected domain marking method and device, equipment and medium, and relates to the technical field of image processing. In the process of pixel-by-pixel scanning, local bit masks are performed on multiple target marking values in an equivalence table that have an equivalence relationship in an equivalence list to obtain a local equivalence marking value of a scanned target pixel, and the target marking value is a neighborhood pixel marking value of the target pixel. The local equivalence marking value of the target pixel is synchronized to the equivalence table. By setting the equivalence list, the application can perform local bit masks on all multiple target marking values in the equivalence table that have an equivalence relationship, thereby quickly obtaining the local equivalence marking value of the target pixel, and then synchronizing to the equivalence table, thereby improving the updating efficiency of the equivalence table and further improving the overall performance.

The application provides a smart card file storage structure, which can improve the writing efficiency of large-size files on the basis of realizing the power-off protection function of smart card file data, thereby improving the production efficiency of smart cards, and can also realize wear leveling in the overall storage area range. The file data is updated by alternately updating the directory information block; the file is created and updated by randomly selecting available sectors to write the file and then registering the sector number of the written file in the directory information block, and only one or two writing operations are required to realize the creation and update of the file; when a long file is created, only the file item FILE_ITM of the long file needs to be constructed in the directory information block, and the actual storage space of the long file does not need to be allocated in the file data area, and the available sectors are applied for the long file in the subsequent update operation. Meanwhile, the application also discloses a smart card file management method.

This application relates to a map construction method. Addressing the technical problem that existing environmental occupancy map construction methods, while aiming to improve query and update efficiency and significantly reduce memory usage, struggle to support real-time, large-scale autonomous navigation tasks in dynamic environments, this application provides a boundary representation-based map construction method and related apparatus. The map employs a global-local map framework. The local map includes the occupancy status of surrounding voxels centered on the robot, while the global map includes the voxel occupancy status in the boundary graph. The voxel occupancy status in the boundary graph is determined by using adjacent voxel pairs to represent the boundary surface layer separating free voxels from adjacent voxels, thus obtaining boundary voxels and constructing the boundary graph. A data structure combining two-dimensional hashing and one-dimensional arrays is used to manage the boundary voxels. Under this data structure, the occupancy status of any voxel is determined through the boundary graph. This application effectively improves query and update efficiency and significantly reduces memory usage.

The invention relates to the technical field of water conservancy knowledge graph updating, and discloses a water conservancy knowledge graph dynamic real-time updating system and method based on physical-information deep coupling and semantic field intensity driving, and the system comprises a physical sensing layer which is used for carrying out the real-time collection, transmission and preprocessing of multi-source water conservancy physical data; the coupling mapping layer is used for mapping the multi-source water conservancy physical data into semantic state variables available for a knowledge graph; the field intensity calculation layer is used for calculating semantic field intensity based on semantic state variable changes and determining nodes and relations, needing to be updated, of the knowledge graph; the graph operation layer is used for executing knowledge graph updating decision making and writing operation according to a semantic field intensity triggering threshold value; and the knowledge service layer is used for providing dynamic knowledge service for an external intelligent water conservancy system. According to the invention, multi-source water conservancy data can be effectively integrated, comprehensive acquisition and preprocessing of real-time data are realized through the physical sensing layer, and the accuracy and integrity of the data are ensured.

The electronic paper driving method and electronic paper device and their computer-readable storage medium include a K1 driving waveform and a K2 driving waveform; the K1 driving waveform includes an old image preparation stage and an A display stage; the K2 driving waveform includes an old image preparation stage, an A display stage, a waiting stage, and a B display stage; when displaying images U1 and U2, if the display interval between images U1 and U2 is greater than a set time T, the driving waveforms for both images U1 and U2 use the K1 driving waveform; when displaying images U1 and U2, if the interval between images U1 and U2 is less than a set time T, the driving waveforms for both images U1 and U2 use the K2 driving waveform; the U1 image is displayed in the A display stage, and the U2 image is displayed in the B display stage.