88results about How to "Improve update efficiency" patented technology

The invention relates to the technical field of automobile data updating, in particular to a data updating method of automobile diagnosis equipment and the automobile diagnosis equipment. The method comprises the following steps: acquiring a historical running log of a vehicle; vehicle owner driving behavior multi-point sampling is carried out on the vehicle historical operation log, and different scene behavior characteristic evolution is carried out, so that different scene driving behavior models of a vehicle owner are obtained; extracting vehicle time sequence state parameters based on the vehicle historical operation log; performing multi-scene operation simulation on the vehicle time sequence state parameters according to different scene driving behavior models of the vehicle owner, and generating vehicle state operation simulation data of each scene; and carrying out future time period vehicle state rolling prediction and fault time window probability calculation on the vehicle state operation simulation data of each scene to obtain a vehicle abnormal fault part positioning point and a fault time window probability curve. According to the invention, the data updating efficiency and group accuracy of the automobile diagnosis equipment are realized.

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 relates to a 5GC fault diagnosis root cause analysis method for realizing intelligent decision and iterative closed loop, and belongs to the field of 5G mobile communication.The method comprises the steps that experience of various fault analysis steps is extracted and analyzed, and a diagnosis model is designed according to entity nodes and entity relations; empirical data is collected for preprocessing, converted according to a model structure and then imported into a graph database, and a diagnosis model is generated; carrying out dynamic planning on the current decision path; establishing a local knowledge base by adopting historical data and knowledge documents, training a large model, and updating a diagnosis model; traversal analysis of the whole decision path is completed based on the diagnosis model, and a final fault analysis conclusion and a treatment scheme are generated; obtaining the diagnosis result of each node by using the atomic power of the 5GC system; and displaying a return result of each step node and a final fault analysis conclusion and a disposal scheme. According to the method, the current network fault can be quickly identified, positioned and processed, meanwhile, processing experience is accumulated, and the network monitoring and fault processing capacity is continuously improved.

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 discloses an Internet of Things equipment updating method and device, electronic equipment and a storage medium. According to the embodiment of the invention, state information, historical use information and region information of Internet of Things equipment are acquired; the state information comprises Internet of Things equipment types and performance parameters; determining an application scene based on the historical use information and the region information; determining an updating strategy corresponding to the Internet of Things equipment according to the state information and the application scene; generating an updating file corresponding to the Internet of Things equipment according to the updating strategy; and sending the update file to the Internet of Things equipment, and notifying the Internet of Things equipment to perform update processing through the first information. According to the embodiment of the invention, the updating efficiency of the Internet of Things equipment can be improved while a personalized updating strategy of the Internet of Things equipment is provided.

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 invention provides a map updating method, device and system. The method comprises the following steps: acquiring updated map data; determining a first area to which an updating area corresponding to the updated map data belongs; determining a first terminal device meeting a map updating condition according to the obtained position relationship between the position of the terminal device and the first district; and pushing a map updating notification to the first terminal device to control the first terminal device to complete map updating. According to the method and the device, the problems of discontinuous map display, white screen and the like of the terminal equipment are solved, the network bandwidth is saved, and the map updating efficiency is improved.

The invention discloses a routing file updating method and device, computer equipment and a storage medium. The method comprises the following steps: scanning a local file system, and determining at least one local file directory; all local file directories are monitored, and target file directories with routing path changes and corresponding target file path arrays are obtained; generating a target routing tree object according to the target file path array; and updating the routing file based on the target routing tree object. According to the method, the target file directory with the routing change can be determined in real time, the method is relatively efficient, the target routing tree object corresponding to the target file directory can be automatically generated, the target routing tree object does not need to be manually named, manpower and material resources are saved, the target routing tree object can be relatively efficiently generated, and the user experience is improved. The target routing tree object can be directly written into the routing file in the local file system, and the purpose of updating the routing file of the local file system efficiently is achieved.

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 embodiment of the invention discloses a cache updating method, a server, terminal equipment and a chip system, which are suitable for the technical field of computers, and the method comprises the following steps: the server receives a file request sent by the terminal equipment; when the file request comprises path information and a cache file identifier, obtaining a target file from a file path indicated by the path information, the cache file identifier being a file identifier of a target cache file cached in the terminal device; when the target file is not matched with the cache file identifier, a historical cache file of the target file is obtained from a server cache, and the historical cache file conforms to the target cache file; a difference file used for describing the difference between the target file and the historical cache file is determined, the difference file is sent to the terminal device, and the difference file is used for updating the target cache file in the terminal device. According to the embodiment of the invention, the file cached by the terminal equipment can be updated in time.

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.

This invention relates to the field of novel basic surveying and mapping systems and real-scene 3D technology, and provides a method and system for detecting geographic entity change information based on Internet text mining. The method includes: acquiring a target webpage and identifying its page type; acquiring the text content of the target webpage; constructing a semantic knowledge base, using words from the semantic knowledge base as search terms, and acquiring text data related to geographic entities from the text content of the target webpage; using a flagship model as a teacher model to acquire geographic entity change information from the text related to geographic entities; using a lightweight pre-trained language model as a student model, performing knowledge distillation on the student model through the teacher model to obtain a lightweight language model; identifying and extracting geographic entity change information from the webpage text data, and outputting the extracted geographic entity change information according to a preset structured format. The above method achieves full automation from heterogeneous webpage information acquisition to structured change information output.

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.

The present application provides a multi-path TCP congestion control method and device based on reinforcement learning, the method comprising: if a change is detected in the current network environment of the target network, the target network status data at the current moment is obtained; the target network status data is added to a data set containing prior data, and a preset intelligent agent is fine-tuned based on the updated data set with a deep reinforcement learning algorithm to obtain a new intelligent agent suitable for the current network environment of the target network, so as to perform congestion control on the target network based on the new intelligent agent; the intelligent agent is pre-trained offline based on a data set containing prior data with a deep reinforcement learning algorithm. The present application can timely and automatically fine-tune the intelligent agent online when the network environment changes, and can improve the efficiency and effectiveness of the intelligent agent update, ensure the continuous high performance of the intelligent agent, so as to improve the effectiveness and reliability of multi-path TCP congestion control using the intelligent agent.

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 present application provides a system update method and device, which are applied to a drug vigilance system. The method includes: obtaining a change event, which is used to indicate a change in the organizational structure of the drug vigilance system, or a change in a regulatory document, wherein the regulatory document is a legal document; generating a risk warning according to the change event, the risk warning includes a risk location and a recommended modification plan, and the risk warning is used to prompt the user to modify the risk location according to the recommended modification plan to update the drug vigilance system. The technical solution of the present application can automatically generate a risk warning according to changes in the organizational structure or legal documents in the drug vigilance system to assist users in completing the update of the drug vigilance system.

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.