32results about How to "Efficient access" patented technology

The invention relates to the technical field of data processing, in particular to a real estate surveying and mapping data processing method and system based on intelligent data. The method comprises the following steps: acquiring multi-source real estate surveying and mapping data; performing space-time synchronization on the multi-source real estate surveying and mapping data to generate multi-source real estate surveying and mapping space alignment data; real estate space feature extraction is carried out on the multi-source real estate surveying and mapping space alignment data to obtain real estate space feature data; performing cross-domain feature fusion on the multi-source real estate surveying and mapping data based on the real estate spatial feature data to generate real estate surveying and mapping fusion spatial feature data; public surveying and mapping point confirmation is carried out on the multi-source real estate surveying and mapping data through the real estate surveying and mapping fusion spatial feature data, and real estate surveying and mapping public surveying and mapping point data are obtained. Through multi-source data space-time synchronization, feature fusion, distortion correction, high-dimensional space reconstruction, semantic tag association and chain storage, the efficiency and accuracy of real estate surveying and mapping data processing are improved.

The invention discloses a hybrid expert model training system based on layer freezing, which relates to the field of model training and comprises an external memory, a freezing controller, a resource allocation controller and a plurality of computing devices. The external memory stores a data set for training the hybrid expert model; the freezing controller performs freezing decision making according to a path selected by an expert and sends the decision to the computing device for execution; the resource allocation controller executes a lexical grouping algorithm based on a frozen layer expert selection path to calculate expert popularity, and allocates computing resources according to the expert popularity; and the computing device stores the hybrid expert model, executes model training operation, executes a layer freezing task according to a layer freezing decision, and feeds back a freezing layer expert selection path and an expert selection path to the resource allocation controller and the freezing controller respectively. According to the method, training of the hybrid expert model is performed through a layer freezing technology, so that the training cost is reduced while the model precision is kept; computing resource allocation is carried out based on a word source grouping algorithm, and equipment load balancing is achieved.

The invention provides a large-scale data processing method and system based on multi-modal data fusion, and relates to the technical field of data process.The method comprises the following steps that multi-modal data are obtained and preprocessed; performing feature extraction and feature fusion on the preprocessed multi-modal data by adopting a mode of combining a deep learning technology and a multi-modal attention mechanism so as to generate a comprehensive feature vector; and performing data analysis and data updating on the comprehensive feature vector by adopting a mode of combining a deep learning technology and an online learning technology to obtain an analysis result of the large-scale data. Data fusion and data analysis are carried out based on deep learning and a multi-modal attention mechanism, deep semantic information can be fully utilized in the feature extraction and fusion process, and the problems that an existing data processing technology lacks a unified fusion mechanism, so that the data processing flow is complex, the data consistency is poor, and the data processing efficiency is high are solved. And real-time analysis is difficult to realize.

The invention discloses a Zynq-based convolutional neural network hardware acceleration system, which is realized based on a Zynq heterogeneous chip and comprises a PL end module, a PS end module and a storage module. The PL end module comprises a convolution acceleration module, a full connection layer acceleration module and a Softmax activation module and is used for completing convolution calculation, full connection operation and activation function processing; the PS end module comprises an input data processing module and a post-processing module and is responsible for loading and preprocessing input data and sorting and screening detection results. The storage module is composed of an on-chip memory and an off-chip memory, wherein the on-chip memory stores an intermediate processing result of input data, a convolution kernel and intermediate feature map data; and the off-chip memory stores the original image data, the weight parameter of the full connection layer and the final detection result. All the modules are connected through a 64-bit AXI bus, the PS end module is responsible for coordinating data flow, and the PL end module executes efficient parallel computing. The system makes full use of the high-performance characteristic of the Zynq heterogeneous architecture, is suitable for an efficient reasoning acceleration scene of the convolutional neural network, and particularly has a wide application prospect in embedded AI equipment.

The invention provides a data access processing method and system, electronic equipment and a storage medium, and the method comprises the steps: obtaining a target plug-in which comprises target data source information, a target data processing module and target export routing information; accessing to-be-processed data based on the target data source information; calling a target data processing module, and performing data processing on the to-be-processed data to obtain standardized data; and calling a system export routing module, and sending the standardized data to a target data management platform based on the target export routing information. According to the embodiment of the invention, data access processing can be conveniently carried out, and the maintainability is improved.

The present invention belongs to the technical field of video monitoring platform, and relates to a method for realizing domain address conversion in a multi-domain scenario, which at least includes a client, a user agent module, a streaming media module and a domain agent module; after processing, the streaming media module returns the stream URL address to the user agent module through a response; the user agent module receives the response of the streaming media, and transmits the stream URL address and the domain where the client is located to the domain agent module; the domain agent module can convert the original address into the target domain address where the client is located, and return it to the user agent module; the user agent module returns the stream address to the client, and pulls the audio and video stream from the streaming media. The present invention does not need to make special requirements for streaming media configuration, client configuration, and network equipment, and at the same time gets rid of the dependence on specific network equipment, ensuring that in a multi-domain environment, domain address conversion can be performed efficiently and smoothly.

The application discloses a kind of methods and systems for fault detection and comprehensive management applied to airborne computer platform, belong to airborne computer embedded software technical field.The method of the present application includes: combing the features of airborne computer platform software operation, determine fault detection point, and fault detection point is classified according to the correlation between airborne computer platform hardware and the correlation with software operation state and stratification classification;According to the stratified fault detection point, establish stratified fault information coding;According to stratified fault information coding, complete fault record;The fault recorded is visually displayed.By the present application, the fault detection point of airborne computer platform can be hierarchically recorded and managed, and the user is provided with intuitive fault judgment ability through visualization technology, the faults of each level of complex airborne computer platform are decoupled, and the fault troubleshooting efficiency, safety and reliability of airborne computer platform are improved.

The invention provides an integrated data management method. The method comprises the following steps: S1, data access; s2, data organization; s3, data processing; s4, data management; and S5, data service. The integrated data management method provided by the invention is flexible: by providing an open data storage capability and opening and adapting a data storage component, a user can optimize according to the characteristics and requirements of each data warehouse level, so that the performance, expandability and cost effectiveness are improved, and the data management efficiency is improved. The flexible architecture design can meet diversified requirements in a data warehouse environment, by providing two data processing modes of dragging graphical processing and Sql writing, the requirements of a user can be better met, the flexibility and efficiency of data processing are improved, and the user selects a proper mode to carry out data processing according to own requirements and skills.

The present invention relates to the field of secure communication technology, and in particular to a method and system for secure access to data on a cloud computing platform, comprising: obtaining a role group to be split and a candidate split role group, and obtaining a split group and a candidate group based on a split factor, the split efficiency of the role group to be split, and the split versatility of the candidate split role group. The roles associated with the newly added user group are obtained based on the split group. When a new user group appears again in the future, the split factor is updated based on the consistency between the candidate split role group and the candidate group; the roles associated with the newly added user group are obtained again based on the updated split factor; when the difference between the split efficiency and the split versatility is less than a first preset threshold, the roles in the candidate group are split and recombined. The present invention reasonably refines the roles and updates the association between user groups and roles, which helps to efficiently manage the roles during secure data access.

The invention relates to the technical field of data management, in particular to an electronic archive data information optimization storage method, which comprises the following steps of: according to a logic relationship of geological projects, identifying sensor data of batch products, corresponding quality detection results and associated design drawings, establishing nodes for each data entity, and acquiring a geological data entity node set. By establishing the geological data relevance map, sensor data, quality detection results, design drawings and other entities which are originally scattered in different systems are networked according to the internal project logic and reference affiliation, data islands are broken, a global unified geological knowledge view with complete context is formed, and the overall geological knowledge view is created. Based on the associated view, multi-dimensional dynamic evaluation is carried out on each data entity, data is driven to be automatically migrated among high-performance, large-capacity and low-cost archiving storage hierarchies, and it is ensured that active data always has efficient access.

The present invention relates to the field of satellite communication technology, and provides a satellite communication data processing method, device and equipment, the method comprising: a satellite communication transmitting terminal acquires data to be uploaded, determines an edge computing strategy based on the data type of the data to be uploaded, and determines a data sending strategy based on user attribute information to which the data to be uploaded belongs; the satellite communication transmitting terminal sends the data to be uploaded, the edge computing strategy and the data sending strategy to the satellite, so that the satellite performs edge computing on the data to be uploaded based on the edge computing strategy, obtains data to be downloaded, and sends the data to be downloaded to the satellite communication receiving terminal based on the data sending strategy. The present invention can maintain data transmission as much as possible under the condition that the information capacity and bandwidth of data transmission are limited, and can achieve wide coverage and efficient access on a global scale.

The utility model discloses a file archive frame for collecting and arranging market research data. The file archive frame comprises a frame body, radial partition plates and a rotating base. The rack body is formed by connecting at least three layers of coaxial circular shelves through vertical supporting columns, each layer of shelf is divided into a plurality of fan-shaped file containing areas through radial partition plates, and an annular rotating groove is formed in the bottom of the rotating base and can drive the rack body to rotate stably. By means of the multi-layer coaxial rotation design, fast file searching is achieved in cooperation with fan-shaped partition, and the problems that a traditional frame body needs to be surrounded for searching, and rotation is not stable are solved; materials such as the 304 stainless steel supporting column and the ABS partition plate are adopted, existing auxiliary devices such as folders and labels are matched, calibration and fixation are conducted through a screwdriver and a gradienter during installation, files can be taken and used by rotating the shelf during use, maintenance is convenient and fast, and the device is suitable for efficient arrangement and retrieval of market research data.

The invention relates to the technical field of artificial intelligence and big data processing, and discloses an artificial intelligence-based big data analysis platform system, which comprises a data access layer, a data preprocessing layer, an AI analysis engine layer, a data storage layer, an application service layer and a monitoring operation and maintenance layer which are in communication connection in sequence. The data access layer is used for realizing multi-source heterogeneous data access and high-frequency data caching; the preprocessing layer completes data cleaning conversion and quality detection; the AI analysis engine layer realizes full-life-cycle management, intelligent analysis and result optimization and explanation of the model; the data storage layer adopts a mixed framework for classified storage and remote backup; the application service layer provides a visual display and open interface; the monitoring operation and maintenance layer guarantees stable operation of the system. According to the invention, data processing efficiency and analysis precision are improved, and data security and user experience are enhanced.

Embodiments of the present application provide a communication method, device, system, storage medium and program product, relating to the technical field of communication. The method comprises: a terminal receiving first information sent by an access network device, the first information being used to indicate whether a wireless communication resource is an AIoT (environmental Internet of Things) supporting resource. If the terminal supports an AIoT function or is running an AIoT service, performing cell selection or cell reselection according to the first information. In this way, the terminal supporting the AIoT function or running the AIoT service can more efficiently and accurately access an available cell, improving the communication quality and stability of the AIoT service.

The present invention provides a binary large file parsing method, system, medium and terminal based on GPU, including: mapping the binary large file through CPU, reading several partial files of preset size each time and copying them to GPU video memory; extracting the DDS data packet frame header and frame footer data and the subject data to be parsed that conform to the target format; storing the data to be parsed as cache. Based on the cache, parse the RTPS data in the DDS protocol through the parsing function, find the RTPS data packet according to the corresponding byte offset; read the field of the corresponding subject data, match the data packet, parse the successfully matched data packet, save the parsing result as str type summary, copy it from GPU to CPU, and use CPU to write it to the hard disk and save it as csv file. The present invention shortens the copying time, directly operates the data in the CPU memory, improves the parsing efficiency, and shortens the time.

The application relates to a cross-modal generative satellite-ground network semantic communication method with super-high compression rate, which comprises the following steps: S1, establishing a generative cross-modal satellite-ground network semantic communication system; S2, establishing a satellite-ground network semantic communication system model fusing NOMA technology; S3, establishing a dynamic switching algorithm; S4, establishing a double-state satellite-ground link simulation model: considering the influence of the multipath, shadow and Doppler factors existing in satellite-ground communication, dividing the satellite-ground transmission link into two states of good and bad, modeling the channel characteristics by using Rician and Rayleigh distribution, and simulating the Doppler frequency shift through Doppler phase rotation, and completing satellite-ground channel modeling and simulation. In the single-user scene, the original image information is efficiently compressed into a compact text semantic representation through the cross-modal semantic compression module, an end-to-end generative model is adopted to guarantee high semantic consistency and robust reconstruction, the data volume is greatly compressed, and low-delay semantic transmission is achieved, so that the bandwidth burden of the satellite-ground network is effectively reduced.

The invention belongs to the technical field of software development and operation and maintenance, and discloses a system for quickly responding to service iteration, which consists of a data source management module, a redis cache module, a configuration center module and an SPEL analysis and Naporn module. By introducing the configuration center system, centralized management and dynamic adjustment of business data output rules are achieved, the output rules are migrated to the configuration level from codes, the flexibility and maintainability of the system are greatly improved, when the rules are changed, only the configuration center needs to be updated, the codes do not need to be modified, the iteration speed is increased, and meanwhile the efficiency is improved. The historical record changing function of the configuration center not only facilitates tracking of rule changes and analysis of potential influences of the rule changes on services, but also can quickly roll back to a stable version when system instability or data glide is caused by configuration updating, so that risks are effectively reduced, and the mechanism ensures smooth proceeding of service iteration and provides powerful support for continuous optimization.

The invention provides a file-based quick storage retrieval method, device and equipment and a storage medium, and relates to the technical field of computers. The method comprises the following steps: acquiring to-be-recorded data; processing the to-be-recorded data into a plurality of compressed character strings with retrieval keys; creating a cache file, writing the plurality of compressed character strings into the cache file, and recording a position recording pointer of each compressed character string; and associatively storing the retrieval key and the position recording pointer of each compressed character string into a memory. According to the method, high efficiency of file storage and rapidity of memory retrieval can be combined, on one hand, storage requirements can be reduced by compressing data, and the storage efficiency is improved; and on the other hand, the index is established in the memory, so that the data retrieval speed can be increased.

The invention provides a software defined network access method and device, equipment and a medium, and effectively solves the problems that the accuracy is reduced, the timeliness is insufficient and the security is reduced when network access is carried out in an existing solution. The method comprises the following steps: the terminal equipment generates a corresponding out-of-group access process based on an out-of-group access request of a user, and pushes the out-of-group access process to the service platform; the service platform responds to the out-of-group access process and generates a modification instruction; the service platform modifies a data network identifier of the terminal device based on the modification instruction to obtain a modification result, and the service platform generates a target security policy based on the modification result and outputs the target security policy to a target security gateway of the target virtual network group, and the target security gateway allows the user to access the target branch mechanism through the terminal equipment.

The method comprises the following steps: receiving a data access request of a service request network element, sending network element information to a block chain, and determining an initial access token; receiving signature information and certificate information of the service request network element, verifying the certificate information when the signature information is consistent with the stored network element information, and determining address information of a target network element when the verification is passed; calling a target address of the target network element, obtaining the initial access token of the service request network element based on the network element information from the block chain; and sending the initial access token and the target address to the service request network element, so that the service request network element accesses the target network element based on the target address and the initial access token. The technical scheme of the embodiment of the present disclosure enables the service request network element to dynamically access the target network element based on the access token in the B5G network, enhances the security access control of the service request network element, and improves the security of the access request.

The invention discloses a distributed real-time data processing method and device and a storage medium, and belongs to the field of electric power Internet of Things data, and the method comprises the steps: collecting multi-source data from the electric power Internet of Things in real time, packaging the multi-source data into standard format data, and asynchronously pushing the standard format data to a distributed message queue; asynchronously pulling the standard format data from the distributed message queue, distributing the standard format data to a predefined real-time data processing task, splitting the real-time data processing task into a plurality of sub-tasks, executing each sub-task in parallel through a plurality of processing nodes, and generating a processing result; and allocating a unique identifier to the processing result, performing de-duplication verification, pushing the processing result passing the verification to a subscription terminal or a service system in real time, and asynchronously writing the processing result into a database or discarding the processing result according to the service type. Therefore, the timeliness and the resource utilization rate of data processing of the power internet of things can be improved by implementing the method and the system.

The utility model relates to a kind of steel plate electric stereo shelves, belong to the technical field of warehousing equipment, including frame, hinge, left door and right door, left door, right door and frame are connected by hinge. The frame is equipped with guide rail, the left door and right door are equipped with door guide rail with guide rail horizontal alignment, the frame is equipped with several pullouts, the pullout is equipped with steel plate for placing, the lower end of the pullout is equipped with long shaft, the long shaft both ends are equipped with bearing seat between frame, the lower end of the pullout both sides is equipped with rack, the rack and long shaft are equipped with gear with long shaft and insert embedded type fixed, with the characteristics of convenient operation, time-saving and labor-saving road operation safety and reliability. Stereo shelves with left and right doors, steel plate can be slid from frame to left and right doors when taking material, using the way of crane lifting, realize multiple parallel arrangement of rack, greatly improve space utilization, and adopt electric drive, reduce the labor intensity of worker.

The invention relates to the technical field of storage boxes, and discloses a shoe display box and a shoe box assembly.The shoe display box comprises a top plate, a side wall, a cover plate, a bottom plate and a drawer assembly; the top plate covers the side wall, the bottom plate is located below the side wall and detachably connected with the side wall, an opening is defined by the side wall, the bottom plate and the top plate, and the cover plate is rotationally connected to the top plate and can cover the opening; the drawer assembly comprises a connecting rod, a turntable and a supporting plate, one end of the connecting rod is rotatably connected to the cover plate, the other end of the connecting rod is rotatably connected to the supporting plate, the turntable is rotatably connected to the supporting plate and can rotate along with outward pulling of the supporting plate, and the supporting plate is slidably connected to the bottom plate; the cover plate is a transparent piece. The shoe display box drives the cover plate to be opened through the connecting rod, a user can open the shoe display box by pulling the supporting plate, and shoes can be taken out conveniently. The transparent cover plate enables the side faces of the shoes to be fully displayed, and the appearances of the shoes can be observed without opening the box cover. After the cover plate is closed, dust can be prevented from polluting shoes, operation is easy and convenient, and the display effect is outstanding.

This invention discloses a system and method for constructing earthquake-themed scenarios based on multi-source 3D GIS data, belonging to the field of 3D geographic information system technology. It aims to solve the technical problems of data silos, limited information display, delayed data updates, and lack of end-to-end connectivity in earthquake emergency response. The system adopts a layered architecture consisting of a data resource layer, a data fusion layer, a service support layer, and an application display layer. The method involves building a basic 3D GIS emergency scenario, aggregating multi-source earthquake data, achieving spatiotemporal data fusion and event correlation, and completing integrated 3D display and decision support. This enables unified spatiotemporal fusion and real-time dynamic updates of earthquake data across all dimensions, as well as 3D visualization and spatiotemporal simulation of the entire pre-earthquake, during-earthquake, and post-earthquake chain. This provides global and three-dimensional decision support for earthquake emergency command, significantly improving the efficiency, accuracy, and systematic nature of earthquake emergency response.

The invention discloses a file integrity verification method and device based on memory mapping, equipment and a medium, and relates to the field of industrial internet, and the method comprises the following steps: establishing a Hash index bucket in an index area, establishing a target chain table based on the Hash index bucket, and constructing a data area in a node; mapping the target file to obtain an absolute path, generating a first reference value by using a Hash algorithm, storing the absolute path and the first reference value to a data area, and updating the node; if the file acquisition request is acquired, determining an absolute path according to the file acquisition request, and searching a node based on the absolute path; positioning the data area according to the node to find a first reference value, determining a current target file based on the absolute path and generating a second reference value, and performing integrity verification by judging whether the second reference value is consistent with the first reference value; and if the second reference value is consistent with the first reference value, judging that the target file passes the integrity verification, and returning a verification passing result and the target file. And the integrity verification efficiency of the industrial control system is improved.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for updating data in a blockchain are provided. One of the methods includes obtaining one or more requests to update a plurality of pieces of data in one or more blockchains and updating the plurality of pieces of data in the one or more blockchains.

Techniques involving a database system that includes worker nodes operable to execute transactions and director nodes operable to ensure transactional consistency of the transactions are disclosed. A worker node can receive a request to execute a transaction involving a write record. The worker node can then issue a request to director nodes of the database system for information to facilitate execution of the transaction operation. The director nodes can determine whether to approve the request based on whether the operation would cause transactional inconsistency in the database system. The worker node can advance execution of the transaction operation in response to receiving approval responses from a majority of the director nodes, where none of the received responses indicate disapproval of the transaction.

The utility model relates to the technical field of screwdrivers, in particular to a portable screwdriver capable of automatically filling screws, which comprises a handle, the front end of the handle is fixedly connected with a screwdriver main body, and the surface of the handle is in threaded connection with a protective cover; through the arrangement of the screwdriver body, the protective cover, the storage box, the circular partition plate, the screws, the baffle and the electric telescopic rod, when the screwdriver is used, the screws are sequentially arranged in the storage box according to the shape of the circular partition plate, and the mounting plate is rotationally connected with the connecting plate through the damping rotating shaft; a baffle on the surface of the connecting plate is inserted into the inner wall of the storage box and is in lap joint with the surfaces of the screws to push and position the screws, the output end of an electric telescopic rod pushes the screws in the middle of a circular partition plate to be discharged, and after the electric telescopic rod retracts, a damping rotating shaft pushes the connecting plate to drive the baffle to move; in this way, the screws continue to be pushed to the middle position of the circular partition plate, then the screws are pushed out one by one, and therefore automatic filling and precise pushing of the screws are achieved.

The invention relates to a flexible interconnection device control method and device, equipment and a medium, and the method comprises the steps: determining the operation mode of a flexible interconnection device according to the operation state of each transformer area connected with the flexible interconnection device; constructing a corresponding control strategy model according to the operation mode of the flexible interconnection device; and solving the control strategy model to obtain the transmission efficiency of each port of the flexible interconnection device, and controlling the flexible interconnection device according to the transmission efficiency of each port of the flexible interconnection device. According to the method, the deduction planning of mutual energy aid between the transformer areas can be completed based on the operation modes of different transformer areas.