399results about How to "Improve update efficiency" patented technology

The invention discloses a Transform large model training method based on cloud edge collaboration. The method comprises the following steps: S1, constructing a data set; s2, preprocessing the data set; s3, segmenting the preprocessed data set by using a data parallelism strategy, and performing distributed training by combining data parallelism and model parallelism technologies; s4, monitoring computing resources and network conditions of the edge equipment and the cloud server in real time, dynamically adjusting a data distribution strategy, and optimizing computing load distribution; s5, a multi-agent dominant actor-commentator algorithm is combined with a multi-arm tiger machine strategy, and the layered structure of the Transform model is adjusted in real time; s6, performing partial model reasoning tasks on the edge equipment in combination with the edge reasoning capability; s7, protecting data privacy by adopting a federal learning strategy and utilizing a differential privacy technology; and S8, performing hardware acceleration by utilizing heterogeneous computing resources. According to the method, a cloud edge cooperative computing and intelligent scheduling method is adopted, and large model training and reasoning with efficient privacy protection are realized.

The invention discloses a terrain-level real-scene three-dimensional entity and element dynamic updating method, which comprises the following steps: S1, data acquisition and preprocessing: acquiring data of a target area by an acquisition mechanism based on entity and element type priorities, and preprocessing the acquired data to obtain model data of the target area; s2, change detection: comparing newly collected model data with historical model data, and identifying a change region and type; s3, entities and elements are extracted and updated, wherein the entities and the elements of the change area are processed to obtain updated models; s4, model fusion and optimization: fusing the updated entity and element model with the original model, and realizing efficient acquisition and preprocessing of target area data by using the multi-source surveying and mapping equipment and an acquisition mechanism based on entity and element type priorities; by dividing the small regions according to the region characteristics and correcting the acquisition frequency, the resource allocation is optimized, and the pertinence and efficiency of data acquisition are improved.

The invention discloses a land investigation data updating method, a land investigation data updating system, a product and a medium, and relates to the field of land investigation. Superposing vector boundary data of the preset survey range on the basic geographic information layer and importing historical land information in the preset survey range to obtain a comprehensive basic information layer; acquiring actual land types, actually measured areas and ownership condition information of various lands in a preset survey range; and comparing the actual land type, the actually measured area and the ownership condition information with the comprehensive basic information layer, identifying land utilization change data, generating a land survey data updating instruction according to the land utilization change data, and sending the land survey data updating instruction and the comprehensive basic information layer to a target client. By implementing the method, the land survey data updating efficiency can be improved.

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 relates to the technical field of sensor upgrading, in particular to a remote upgrading method and system for a tire pressure sensor. The method comprises the following steps: acquiring real-time state data of a tire pressure sensor; carrying out outlier parameter elimination on the real-time state data of the tire pressure sensor, and carrying out state diagnosis mining, so as to generate a state diagnosis report of the tire pressure sensor; performing upgrade demand prediction based on the tire pressure sensor state diagnosis report, and performing priority upgrade analysis to extract a plurality of upgradable sensors; performing byte-by-byte difference identification on the plurality of upgradable sensors based on preset latest version information, and performing incremental data encapsulation to generate a plurality of incremental upgrading data blocks; acquiring a historical running log of the vehicle; performing dynamic vehicle using behavior analysis and vehicle idle time period prediction on the vehicle historical operation log to generate a plurality of idle prediction time periods; the upgrading efficiency and the safety performance of the tire pressure sensor are improved.

The invention discloses a multi-agent path planning method, device and equipment, and the method comprises the steps: dividing a map according to first grids of a preset size, carrying out the global planning of all agents on the map, and generating a global path, the global path being a road section passing through a plurality of first grids from a starting point to a target point; on the basis of each path section of the global path, local planning is conducted on all agents, a local path is generated, and each path section is a road section formed by the center points of every two adjacent first grids; real-time data are obtained by monitoring changes of dynamic obstacles and dynamic targets in a map in real time, and the local path and / or the local path are / is updated and planned according to the real-time data to obtain an updated path. Potential collision risks can be quickly found, obstacle avoidance measures can be taken in time, and the safety of a multi-agent system and the smooth completion rate of tasks are improved.

The invention discloses a large model cloud computing dynamic updating method based on elastic adaptive incremental learning, which comprises the following steps: S1, in a cloud computing platform, acquiring a current version of a large model and a new data stream to be processed; s2, local parameter updating is conducted on the large model according to the new data, and parameters or model layers needing to be updated are dynamically selected according to the characteristics of the data in the updating process; s3, introducing an adaptive learning strategy, and monitoring the change condition of data distribution in real time; s4, in a large model updating process, splitting a large model updating task to a plurality of computing nodes for parallel execution through a multi-node collaborative scheduling mechanism of the cloud; s5, after the large model is updated, the system verifies the performance of the large model; and S6, in the process of updating and deploying the large model, the system dynamically recycles computing resources which are not used any more. According to the method, idle computing resources can be fully utilized in a large-scale cloud computing environment, so that computing tasks are distributed in a balanced manner, and dynamic adjustment of task loads is ensured.

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 relates to the technical field of three-dimensional modeling, and discloses a geological three-dimensional model automatic construction and dynamic updating method, and the method comprises the steps: constructing a geological three-dimensional model based on drilling data; performing spatial clustering on the geological variable points to obtain a clustering result; determining an updated region boundary based on the clustering result; constructing an update block model according to the update region boundary; and fusing the updated block model and the geological three-dimensional model to obtain an updated geological three-dimensional model so as to realize dynamic updating of the geological three-dimensional model. The local dynamic updating of the three-dimensional geologic model can be realized, the updating efficiency and accuracy of the three-dimensional geologic model are effectively improved, and the structural accuracy of the three-dimensional geologic model is further ensured.

The invention discloses a method for realizing three-dimensional modeling of a belt conveyor based on Bentley secondary development, which belongs to the technical field of three-dimensional design, and comprises the following steps: constructing an initial assembly model of the belt conveyor, and obtaining basic configuration data; comparing real-time configuration data and basic configuration data of the design, screening out change data, and correcting the initial assembly model to obtain a first assembly model; whether the real-time configuration data can be assembled or not is judged, if yes, a first assembly score of each component is calculated, and if not, an assembly conflict prompt is generated; dividing the components in the first assembly model into easy-to-assemble components, first difficult-to-assemble components and second difficult-to-assemble components, judging the component types of the changed components, and adjusting the parameters and the assembly sequence of the changed components; and the operation is repeated until all the parts in the real-time configuration data are easy-to-assemble parts, the optimal assembly model is generated, and the three-dimensional modeling efficiency of the belt conveyor is improved through the three-dimensional modeling method for the belt conveyor.

The invention provides a method for realizing common software of a switch product in a same-chip scheme. The method comprises the following steps of: 1, defining one or more hardware configuration files according to different hardware specifications; and step 2, when the switch is started, the system reads a boot environment configuration file, and the boot environment configuration file automatically loads a corresponding hardware configuration file. Through the shared software framework and the dynamic link library mechanism, software updating can be carried out on multiple types of products at a time, repeated operation is greatly reduced, updating efficiency is improved, and time and labor cost is reduced; a unified software framework and an online upgrading mechanism enable the publishing process to be more concise and efficient, so that repeated work is reduced, and the publishing complexity is reduced; software sharing is achieved, the number of software versions is reduced, the maintenance cost is reduced, the flexibility of fault processing and version rollback is improved through a continuous monitoring and online upgrading mechanism, and the efficiency and flexibility of the whole production process are enhanced.

The invention discloses a method, a system, equipment and a medium for an electric power internet of things edge computing architecture based on an autonomous controllable operating system. Acquiring a system update document and an original adaptation program; extracting interface calling information from the original adaptive program; adding a change mark to the original adaptation program based on the interface change information and the interface calling information; and updating the original adaptive program based on the change mark to obtain a target adaptive program. According to the program synchronization method of the electric power internet of things edge computing architecture based on the autonomous controllable operating system provided by the embodiment of the invention, the original adaptive program is updated based on the interface change information and the interface calling information, so that synchronous updating of the adaptive program and the operating system program can be ensured; and the updating efficiency of the equipment adaptation program can be improved, and the updating cost is reduced.

The invention relates to the technical field of smart mines, unmanned driving technologies and maps, and discloses a topographic data updating method, device and system. The method comprises the following steps: acquiring and storing initial topographic data of a target area, receiving and processing position data uploaded by at least one operation device, and preprocessing the position data to generate topographic change area data; generating a topographic data acquisition task based on the topographic change area data, issuing a task instruction corresponding to the topographic data acquisition task to topographic data acquisition equipment, and enabling the topographic data acquisition equipment to execute the task instruction according to the target acquisition path so as to perform topographic data acquisition; and receiving and processing the topographic data acquired by the topographic data acquisition equipment, and performing data updating on the initial topographic data through the topographic data acquired by the topographic data acquisition equipment to obtain updated topographic data. According to the invention, the updating efficiency and accuracy of the topographic data can be improved.

The invention relates to the field of network page updating, and discloses an efficient front-end code real-time updating method and device and a storage medium, and the method comprises the following steps: initializing a front-end item; a partition recognition method is adopted for front-end items, and the dependency relationship between the items is divided into a plurality of sub-graphs; performing code operation identification on the front-end items by adopting a code analysis tool, and performing operation classification; selecting corresponding updating mechanisms according to different operation classifications; in combination with an incremental compiling method of Webpack and Vite, code incremental compiling is realized through module dependency graph optimization and enhanced analysis; carrying out real-time hot updating on the codes by adopting a multi-level differential hot updating method; and a cache control mechanism is introduced, so that front-end resources are updated in time when codes are subjected to real-time hot update. According to the method and the device, the front-end page updating efficiency and accuracy are improved.

The invention discloses a data writing control method and system, a terminal and a medium, and the method comprises the steps: receiving a data writing request, and determining a request terminal corresponding to the data writing request; based on the request terminal, determining a request type corresponding to the data write-in request, the request type comprising a write-back request or a direct write request; and obtaining write-in data corresponding to the data write-in request, and performing data updating based on the request type and the write-in data. According to the method and the device, whether the request type of the data writing request is the write-back request or the direct-write request can be determined, so that the data can be updated based on the request type, and the data updating efficiency is improved.

The invention provides a device model updating method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out the simulation of a device required by a to-be-processed process node through electronic design automation simulation software, constructing a device simplified model based on the model simulation parameters of the device extracted in the simulation process, and carrying out the simulation of a device model. Generating a corresponding standard unit circuit according to the device simplification model; in electronic design automation simulation software, a simulation test circuit comprising a standard unit circuit is built by using a simulation circuit simulator, and netlist simulation is carried out on the simulation test circuit; calculating a difference value between the netlist simulation result and an actual circuit test result of the device, and adjusting model simulation parameters according to the difference value; and generating an updated device model of the device by using the adjusted model simulation parameters.

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 computers, in particular to a computer control method. The method comprises the following steps of performing user software interaction behavior log collection on a computer to obtain a user software interaction behavior log; determining to-be-updated software of the computer according to the user software interaction behavior log to obtain a to-be-updated software list; performing update time window analysis on the to-be-updated software list based on the user software interaction behavior log to obtain a software update time window list; carrying out target version software package downloading on the to-be-updated software list to obtain a target updating software package resource pool; performing current version software package metadata collection on the to-be-updated software list to obtain a current software package version data set. According to the method, the user experience is remarkably improved through an intelligent software updating strategy, updating is automatically executed in a time period when the user is inactive, and the user is prevented from being disturbed at a key or busy moment.

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 discloses a data updating method and system for associated primitives in a graphical interface, relates to the field of data visualization, and is used for synchronously updating other affected primitives when the primitives are subjected to data updating. The method comprises the following steps: firstly configuring the association relationship among all the primitives in the associated primitives, then starting an updating mechanism according to the association relationship after the data of each primitive is updated and under the condition that other primitives in the associated primitives are influenced, and triggering the updating of the data of the directly influenced primitives at the position where the data is changed. According to the method, all components of the complex primitives are associated by adopting the association relationship so as to clarify the response content needing to be subjected to data updating, in addition, data updating can be timely performed on the associated primitives without influencing irrelevant primitives through establishment of an updating mechanism, the calculation amount is reduced, more importantly, complete updating of all the associated primitives is ensured, and the data updating efficiency is improved. And drawing errors of data and attributes are avoided.

The embodiment of the invention discloses a system updating method and device, electronic equipment and a storage medium, the method is applied to terminal equipment, and the terminal equipment stores initial data used for system updating and incremental snapshot data generated in the system updating process in advance. The method comprises the steps of obtaining a target operation instruction when it is detected that the terminal equipment is in a system updating state; in response to the target operation instruction, combining the initial data with the incremental snapshot data to obtain update data for system update, and deleting the incremental snapshot data; and completing the system updating according to the updating data. By implementing the embodiment of the invention, the problem of system updating failure of the terminal equipment caused by insufficient storage space in the prior art can be solved, the system updating failure rate is reduced, and the experience and satisfaction of a user in the system updating process are improved.

The invention discloses a warehousing system scheduling control method, device and equipment and a storage medium, and the method comprises the steps: receiving a task scheduling request which is used for requesting to schedule target equipment in a warehousing system to execute a corresponding equipment instruction; in response to the task scheduling request, searching whether a matched task template matched with the template identifier exists in a task template database or not; if not, acquiring a substitute task template; on the basis of the equipment instruction, a task execution step in the substitute task template and a task instruction corresponding to the task execution step, updating the substitute task template to obtain a target task template; and sending a task scheduling instruction to the warehousing system to schedule the target device to execute a corresponding device instruction based on the target execution information in the target task template. According to the method and the device, when the task execution logic is changed, only the corresponding template needs to be called, or the substitute task template is updated based on the instruction, and program codes do not need to be rewritten, so that human resources are saved, and the calling efficiency is improved.

The embodiment of the invention provides an HTML (Hypertext Markup Language) template processing method and device, equipment and a storage medium, which are applied to a template service module in a back-end server, and the method comprises the following steps: in response to a target HTML template uploaded to a source server of a content distribution network, obtaining a template identifier of the target HTML template, obtaining a uniform resource locator of the target HTML template on the source server; establishing a mapping relationship between the template identifier and the uniform resource locator; in response to the establishment of the mapping relationship, downloading the target HTML template from the source server to the local; and in response to the update of the target HTML template corresponding to the uniform resource locator, updating the locally stored target HTML template into the HTML template currently corresponding to the uniform resource locator. Through the template management function provided by the template service module in the back-end server, the updating and maintenance efficiency during hosting of the target HTML template is improved.

The invention provides a data updating method, system and device, a medium and a program product, an energy storage device comprises a plurality of chips, a main chip capable of being in network communication with an external device exists in the plurality of chips, and the main chip is connected with other chips; the main chip receives chip update data sent by the external equipment and performs data verification on the chip update data, and when the verification result of the chip update data is that the verification is passed, if a target chip corresponding to the chip update data is other chips except the main chip in the energy storage equipment, the main chip sends the chip update data to the target chip, and the target chip is the energy storage equipment. The target chip carries out chip data updating according to the chip updating data sent by the main chip; according to the invention, the receiving, transmitting and verifying functions of the chip update data are realized through the main chip, the data of the corresponding chip in the energy storage equipment can be updated when the verification is passed, and the data updating efficiency of the energy storage equipment is improved on the basis of ensuring the updating reliability and safety of the equipment.

The invention discloses an earphone unit, a control method of the earphone unit, control equipment of the earphone unit and a storage medium, relates to the technical field of wireless earphones, and discloses the earphone unit which comprises an earphone shell and a sounding body arranged in the earphone shell. The first interface is arranged on the earphone shell; the control module is arranged in the earphone shell; and the video module is provided with a second interface, the first interface and the second interface form a detachably connected communication interface, and when the first interface and the second interface are in a communication state, the video module is in communication connection with the control module through the communication interface. By arranging the detachable video module, the updating and maintenance efficiency of the video module is improved.

The invention relates to a BMC chip firmware upgrading method. The BMC chip firmware upgrading method comprises the steps of setting a firmware update start identification bit and a firmware update completion identification bit based on a preset firmware update state module; responding to a to-be-updated firmware program obtained by the main processor, and setting a firmware update start identification position as a first identification through a firmware update state module; the main processor executes firmware updating based on the to-be-updated firmware program, responds to firmware updating completion, and positions a firmware updating completion identifier as a first identifier through a firmware updating state module; detecting a firmware update start identification bit in the firmware update state module based on the coprocessor, if the firmware update start identification bit is a first identification, detecting a firmware update completion identification bit in the firmware update state module after a preset time interval, and if the firmware update completion identification bit is the first identification, clearing the firmware update completion identification bit, and if the firmware update completion identification bit is not the first identification, resetting the main processor. The reliability of the updating process is improved.

The invention provides a method and system for supporting online editing and automatically generating a user manual, and relates to the technical field of software development, and the method comprises the following steps: obtaining data content input by a user; converting the data content into a plurality of data items, wherein the data items comprise type values and value values; judging whether the type type of the data item is a content type or not according to the type value; if it is determined that the type type is a content type, the value is converted into a DOM tree; and according to a preset rule, converting the DOM tree into a Markdown document. If it is determined that the type type is the title type, the value is converted into the Markdown document according to the title level of the data item. According to the method, the document can be automatically converted into the computer grammar, and the user manual generation efficiency is improved.

The invention provides a hot update method based on a ReactNative cross-platform framework. The hot update method comprises the steps that S1, a server generates an update package; s2, the client checks updating; s3, the server side transmits the update package; s4, the client receives the update package; s5, the client verifies the update package; s6, the client decompresses the update package; and S7, client code injection and application restart. The invention provides a hot update technology based on a React Native cross-platform framework, the problems of complexity, compatibility, safety and the like in a traditional hot update scheme are effectively solved, the update efficiency and user experience of mobile applications are improved, and the hot update technology has wide application prospects.

The embodiment of the invention provides a service calling method and device, a data center, a storage medium and a product, and the method comprises the steps: receiving a deployment request sent by a micro-service deployment system, the deployment request is generated by the micro-service deployment system according to the service demand information in a pre-deployment service, and the deployment request comprises a preset mirror image address; obtaining a target mirror image according to a preset mirror image address; starting a micro-service container according to the target mirror image to register the pre-deployed service to a local registration center, so that the local registration center adds the pre-deployed service to a full micro-service registration information table; when the pre-deployment service needs to initiate a cross-data-center request, obtaining a full-amount micro-service registration information table from a local registration center; and in the total micro-service registration information table, selecting a target instance according to a preset routing strategy, and sending a request to a target data center according to the target instance, so as to realize cross-data-center service calling. According to the method, the complexity of cross-data center service deployment is reduced.