16results about How to "Improve update efficiency" patented technology

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 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.

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.

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.

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 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.

This invention provides a method and apparatus, electronic device, computer storage medium, and computer program product for model training, model routing, and model service. The model training method includes: acquiring a training dataset, which at least includes query data, first response scoring labels of a portion of the models in an expanded model pool to the query data, and first model description data; acquiring a routing model including a pre-trained encoding module and an adaptive module; inputting the query data and the first model description data into the pre-trained encoding module and the adaptive module, while maintaining the pre-training parameters of the pre-trained encoding module, and training the routing model using at least the first response scoring labels as a supervised condition. This invention reduces the training cost of the routing model while ensuring the routing capability of the expanded model pool.

The application discloses an automatic generation method of a compilation configuration file, and at least comprises the following steps: separating a to-be-compiled file and a compilation rule in a software engineering, and generating a first compilation configuration file only comprising the compilation rule; searching the to-be-compiled file under a directory tree where the software engineering is located by using a pre-written compilation configuration file automatic generation tool; and saving the searched to-be-compiled file and the corresponding directory in a second compilation configuration file in the form of a file list and a directory list respectively, wherein the second compilation configuration file is contained in the first compilation configuration file through a file containing instruction. The application further discloses a corresponding device, an electronic device and a storage medium. By implementing the application, the compilation configuration file can be automatically generated efficiently and at low cost.

The embodiment of the present application discloses a kind of nonvolatile memory data structure updating method and electronic control unit.Therein, the updating method includes: the nonvolatile memory block in nonvolatile memory is loaded to volatile memory;First version information in the nonvolatile memory block is extracted;The extracted first version information is compared with the second version information of current firmware;According to the comparison result, the nonvolatile memory block is updated;And the updated nonvolatile memory block is written back from the volatile memory in the nonvolatile memory.This embodiment embeds version information in nonvolatile memory block, and updates nonvolatile memory block based on this, so as to improve the updating efficiency.

The present disclosure discloses a multi-scene model updating method and device, electronic equipment and storage medium, relates to the field of computers, and particularly to the fields of artificial intelligence technologies such as large models, deep learning and intelligent recommendation. First, sample data is acquired, and based on user behavior data, a first feature vector corresponding to a scene identifier is updated to obtain an updated second feature vector. Then, the second feature vector is input into a shared network and a scene network corresponding to the scene identifier in a to-be-updated model respectively to obtain shared features and scene features. The shared features and the scene features are input into an expert network corresponding to the scene identifier in the to-be-updated model to obtain a first representation output by the expert network. Then, the first representation is input into a prediction network of the to-be-updated model to obtain a prediction value output by the prediction network. Finally, the expert network is updated based on the prediction value to obtain an updated model.

The present application relates to model management, in particular to a three-dimensional model management method and system based on unmanned aerial vehicle and grid technology, model modeling: the latitude and longitude range is calculated by extracting the Exif information of the photo, and grouping is carried out according to the grid code, the oblique photography modeling is completed, the model is cut according to the grid boundary line, and the model and model auxiliary information are stored; model updating: the grid of the area needing to be updated is selected, the corresponding route is generated, the unmanned aerial vehicle multi-angle aerial photo is taken, the model is modeled, and the model and model auxiliary information of the grid of the area needing to be updated are stored and updated; model rendering: the underlying nodes are constructed and the adjacent grids are merged to form the bounding volume, the grid boundary line is converted into the node content, the model data is taken as the sub-node and the visual distance precision is configured, the rendering load is optimized through hierarchical merging and LOD simplification; the present application can overcome the defects that it is difficult to divide the unmanned aerial vehicle aerial survey model into spatial structure, automatically update and maintain and efficiently render and display.

The invention discloses a catastrophe scene large-range modeling method and device based on unmanned aerial vehicle multi-source scanning data fusion. The method comprises the steps that S110, acquisition and unified organization of catastrophe scene multi-source scanning data are completed through an unmanned aerial vehicle multi-source data acquisition module; s120, sequentially completing data preprocessing, geometric prior generation and multi-source fusion alignment optimization through a multi-source data fusion and geometric optimization module; and S130, completing three-dimensional model achievement generation, model lightweight and block-level incremental updating through a scene reconstruction and incremental updating release module. According to the method, a catastrophe scene large-range three-dimensional model of a unified scale can be rapidly obtained under complex conditions of weak texture, smoke shielding and the like, the modeling calculation overhead is reduced, rapid on-site iteration updating is supported, and the research, judgment and command supporting capacity of an emergency rescue scene is improved.

The present disclosure relates to a media content collection list updating method and device, electronic equipment and storage medium. The method comprises: determining a media content preference type of a target account according to historical association data of the target account; obtaining media content of the media content preference type as to-be-collected media content; and adding the to-be-collected media content to a media content collection list of the target account. The present disclosure realizes automatic updating of the media content collection list, and no longer only relies on operation of the target account for updating, thereby improving the updating efficiency of the media content collection list.

The application relates to the field of memories, in particular to a solid state disk memory management mode and system, which comprises the following steps: controlling the solid state disk to be connected to a host computer and the solid state disk to be in an independent working mode; controlling auxiliary software at the host computer end to read initial data on the solid state disk and write the initial data into the host computer memory; outputting a private instruction based on an operation response detection of the fixed disk end; controlling the host computer end to update the initial data based on the operation that the solid state disk receives the private instruction; obtaining corresponding target data; writing the target data updated by the host computer end into the solid state disk and shutting down the host computer. The application has the effect that the memory space in the solid state disk can be released.

The application discloses a data processing method, system, device and equipment of a content interaction platform. The method comprises the following steps: receiving a content publishing request carrying a multimedia resource; sending the multimedia resource to a first storage end, so that the first storage end stores the multimedia resource and generates a first access address corresponding to the multimedia resource; receiving the first access address sent by the first storage end; sending the first access address to a second storage end, so that the second storage end stores the first access address and generates a content publishing record comprising associated information of the multimedia resource; in the case that response information sent by the second storage end is received, sending a ranking update request of the multimedia resource to the second storage end, so that the second storage end adds the associated information of the multimedia resource to initial interactive ranking information, and obtains target interactive ranking information. The application can update the interactive ranking information in real time, and improve the update efficiency and accuracy of the interactive ranking information.