195results about How to "Efficient access" patented technology

The invention relates to the technical field of industrial internet data acquisition, in particular to a data acquisition method and system based on an industrial internet operating system, and the method comprises the following steps: S1, detecting and recognizing data sources of a plurality of industrial devices and sensors; s2, collecting original data from a data source in real time, and preprocessing the original data; s3, distributing part of calculation tasks to a plurality of edge nodes; s4, storing the data in a distributed database or cloud storage in a classified manner; s5, performing fragmentation processing on the data in the cache; s6, performing data synchronization and consistency verification; and S7, converting the data into a corresponding format. According to the invention, by implementing efficient data fragmentation processing, a dynamic storage strategy and secure data consistency verification, the processing speed and storage efficiency of the industrial internet data acquisition system and the security and integrity of data are remarkably improved, and the requirements of high efficiency and high reliability of modern industrial production are effectively supported.

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 relates to the technical field of data storage management, in particular to a data storage method based on a large model. The method comprises the following steps: performing input class cluster fragmentation optimization on a target pre-training large model to obtain storage modulus fragmentation data; constructing an intelligent fragmentation storage strategy by using the storage modulus fragmentation data; obtaining target model training data; performing intelligent fragmentation storage on the target model training data by using an intelligent fragmentation storage strategy, and performing redundancy compression optimization to obtain dynamic redundancy storage index data; and training data storage space optimization is carried out according to the dynamic redundancy storage index data, and an optimized data storage strategy is obtained. According to the method, intelligent fragmentation storage and refined data redundancy compression are performed on the data, so that efficient and stable model training data access is realized, the problem of low data storage and access efficiency in a large model training process is solved, and the model training efficiency and reasoning real-time performance are remarkably improved.

The invention discloses an advertisement compliance knowledge question-answering method, device and equipment for foreign enterprises, and the method comprises the steps: obtaining advertisement compliance data of a global data source, carrying out the document structuring and knowledge extraction of the advertisement compliance data, and constructing an advertisement compliance knowledge graph; converting text data in the advertisement compliance knowledge graph into vectors to obtain vector data; semantic analysis is conducted on a query question input by a user, construction is conducted in combination with the vector data, prompt words are obtained, the prompt words are input into a preset large language model, and target answers are obtained; and outputting the target answer based on the advertisement compliance knowledge graph, and visually displaying the target answer in a corresponding answer query graph. And comprehensive and efficient compliance information query and answer services can be provided, so that compliance review requirements of foreign enterprises on advertisements in a multi-language and cross-regional environment can be met.

The invention relates to the technical field of EDA (Electronic Design Automation), in particular to a far-end access method and equipment based on a non-UCIe protocol bus and a storage medium, which are characterized in that an adapter layer of a receiving end chip is configured, so that the adapter layer has a function of actively initiating a local register access transaction; the adapter layer analyzes the received request transaction to obtain address and data information, and writes the address and data information into a mailbox register; when the request transaction accesses the register address space of the high layer, the adapter layer is switched to a main equipment mode, constructs a local-like register access transaction according to a mailbox register, and sends the local-like register access transaction used for triggering the high layer to feed back response information to the high layer through a non-UCIe protocol bus; the obtained response information is returned to the adapter layer through the non-UCIe protocol bus, and is fed back to the sending end chip by the adapter layer; the high-level high-efficiency flexible access to the receiving end chip is realized on the premise of no UCIe constraint and no CPU intervention.

The invention discloses an enterprise cloud asset global data integration management method based on a data center station, and aims to solve the problems of data source dispersion, complex management, data islanding and the like, and the method comprises the following steps: automatically identifying and classifying various data sources of an enterprise through an evolutionary algorithm, and generating a dynamic data source directory; based on the directory, a self-adaptive data access strategy is generated, unified access of structured, semi-structured and unstructured data and data synchronization of a cross-cloud platform are realized, a unified data model is constructed in a data platform, and unified mapping of data of different sources is realized through a semantic mapping technology. In the data transmission process, the optimal path set is adopted to ensure high efficiency and stability of data transmission. According to the method, the received data is dynamically treated through a self-adaptive strategy, a cross-cloud data virtualization layer is constructed based on the treated data, transparent management of data resources is realized, and data analysis is performed by adopting real-time processing and a differential privacy enhancement algorithm.

The invention relates to the technical field of EDA, in particular to a remote access method and device based on a UCIe mailbox mechanism and a storage medium. The method comprises the steps that a destination address is obtained by analyzing a sideband register access request packet; when the destination address is located in a register address space of a high layer, the adapter layer sends the sideband register access request packet to the high layer through a sideband interface cfg in an FDI and obtains an access result; the adapter layer writes the access result into a mailbox register, and packages the access result and related data in the mailbox register to form a sideband access completion transaction; and the sideband access completion transaction is fed back to the sending end chip in an original way. Efficient and flexible access without CPU intervention to a high layer through a sideband is achieved, and the UCIe protocol specification is met.

The invention provides a digital twin city construction and operation optimization method based on cloud computing and a big data technology. The method comprises the following steps: optimizing layout of various sensor devices through a particle swarm optimization algorithm and an adaptive sampling algorithm, and adjusting acquisition frequency; establishing a distributed database, and realizing uniform distribution and efficient access of data in the distributed database through a load balancing algorithm; mining a time rule of urban operation by using a time sequence model, and discovering association between different data; a city model is constructed by using a city three-dimensional live-action fusion modeling method which takes unmanned aerial vehicle oblique photography as a main part and takes ground laser radar as an auxiliary part, different areas in a city are identified by applying a machine learning method, and a refined model of each field of the city is constructed; real-time simulation of a city operation state is realized through virtual reality and augmented reality technologies; the system is continuously optimized by using an online learning algorithm, so that the system continuously learns and adapts to a new data mode in the operation process, and the construction and operation optimization capability of the system is improved.

The embodiment of the invention provides an optimization method for collaborative layout of sensors and mobile equipment in smart agriculture, and the method comprises the steps: determining key monitoring points for sensor deployment according to farmland region division and crop distribution conditions; based on a path planning algorithm of the mobile equipment, calculating an optimal data acquisition route, and ensuring that the mobile equipment can efficiently access all sensor nodes; historical data and environmental changes are analyzed by using a machine learning algorithm, and working parameters of the sensor and the inspection frequency of the mobile device are dynamically adjusted, so that the accuracy and timeliness of data acquisition are improved. Through the scheme of the embodiment of the invention, the effective collaborative layout of the sensor and the mobile equipment can be realized in the smart agriculture so as to improve the data acquisition efficiency and precision.

The invention provides a graph rendering method and system based on a GLSL shader, and relates to the technical field of three-dimensional model rendering, and the rendering method comprises the steps: loading a 3D model, extracting data of a control point of the 3D model in a VBO of a GPU, generating a first geometric primitive, extracting vertex data in the first geometric primitive, generating an index array of the vertex data, and creating an EBO, based on an index array stored in the EBO, a vertex shader is used for sequentially processing vertex data, obtaining the position and interpolation data of each vertex, cutting the vertex data, regenerating a second geometric primitive, converting the second geometric primitive into a fragment, and a fragment shader calculates color data of each fragment; and the GPU performs parallel rendering on the color data to obtain a final output image, so that resource consumption and memory occupation are reduced while the 3D model is converted into the 2D image, and the rendering efficiency is 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 discloses an intelligent port comprehensive management system based on big data, and relates to the technical field of port energy management, and the system comprises a data collection and integration module which is used for deploying a plurality of sensors in each key region of a port, and a data collection device which is used for collecting the data of the ship position, the cargo flow, the device state and the environmental condition in real time, and through real-time data collection and integration, management personnel can quickly know the operation condition of the port. The intelligent port comprehensive management system based on big data has the advantages of real-time data collection and integration, intelligent scheduling and operation optimization, and the system can quickly respond to port operation requirements and adjust resource configuration and operation strategies in real time, so that the waiting time of ships and cargoes is shortened, the loading and unloading operation and prediction analysis are optimized, and the management efficiency is improved. The resource utilization rate and the efficiency of the operation process are remarkably improved, and managers can make decisions more accurately according to the data analysis result, so that the operation cost is reduced, and the customer satisfaction is improved.

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 simple receiving multiple access method based on joint allocation of symbols and bit streams. The method comprises the following steps: firstly, allocating the symbol streams and the bit streams of all users by a transmitter based on a layered orthogonal amplitude modulation constellation diagram; different interference management schemes are adopted for inter-user interference in different beams and inter-user interference in the same beam, so that the influence of the inter-user interference on the system performance is suppressed; and performing channel equalization processing on signals received by each user receiver, calculating the log-likelihood ratio of each bit stream allocated to each user by each user according to a bit stream allocation result, and sending a calculation result to a channel decoder to obtain original bit data. According to the method, each user symbol and bit stream allocation scheme and constellation diagram design are jointly optimized, and efficient user access in a large-scale access scene can be realized under the condition of meeting the signal processing complexity constraint condition of a receiver.

The invention provides a sales data analysis method based on big data and cloud computing, and the method comprises the steps: cleaning product sales data from multiple channels, and carrying out the partition storage processing according to dimensions; constructing a hypergraph model according to the processed data; designing a hypergraph convolutional network to learn the hypergraph model and optimize the synergistic effect between product nodes; constructing a dynamic strategy generation model according to the synergistic effect score, and outputting an optimal strategy; and applying the optimal strategy to a user front end to collect feedback data, optimizing the prediction capability of the hypergraph model, and designing a time decay regularization mechanism to control the dependence of the hypergraph model on historical data, thereby realizing complete feedback closed-loop optimization. The method not only optimizes the formulation process of the sales strategy, but also can improve the coping ability of an enterprise in an environment where the market changes rapidly, and finally improves the overall market competitiveness.

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 situation awareness element extraction method and system based on an eBPF technology, and the method comprises the steps: building an eBPF user area monitoring program based on a situation awareness element extraction demand; the method comprises the steps that an eBPF kernel program used for kernel object collection is constructed based on a kernel object of a predefined situation awareness element, the eBPF kernel program is obtained through compiling after safety verification based on a pre-constructed eBPF machine code, and the eBPF kernel program is executed in a kernel area; and based on a kernel object collected by an eBPF kernel program, the eBPF user area monitoring program obtains a corresponding situation awareness element from the kernel object based on a loading strategy, and executes a corresponding security measure based on the obtained situation awareness element.

The invention relates to automatic bagging equipment for plastic particles. The device comprises a bag warehouse mechanism used for storing packaging bags; the bag conveying mechanism is used for conveying packaging bags; the bag taking mechanism is used for transferring the packaging bags to the bag conveying mechanism; the bag opening mechanism is used for opening a bag opening of the packaging bag; the discharging mechanism is used for weighing the materials with the preset weight and filling the materials into the packaging bags through the bag clamping mechanism; the bag feeding manipulator can sleeve the packaging bag with the opened bag opening into the bag clamping mechanism so as to realize material filling operation; the vacuum heat sealing mechanism is used for carrying out vacuum treatment and heat sealing on the packaging bag filled with the materials; the bag conveying mechanism is used for transferring the packaging bags filled with the materials to the vacuum heat sealing mechanism; and the conveying mechanism is used for conveying the packaging bags subjected to vacuum heat sealing. The full-process automatic operation of storage, bag taking, bag opening, bagging, weighing and filling, vacuum heat sealing and conveying of packaging bags can be achieved, the labor cost is greatly reduced, and the production efficiency is improved.

The invention discloses a data acquisition and automatic control system for a carbon filament collecting machine, which adopts a modular design and comprises a main control module for connecting and controlling other modules, and a plurality of functional modules such as a display and operation interface module, a real-time monitoring module, a fault detection and early warning module, a shredding control module, a label printing module and a multi-device adaptation module. The system is realized on the basis of an MVVM (Model-View-ViewModel) architecture of a WPF (Wireless Power Function), and has good expansibility and maintainability. The system uses the SQL Server as a database, and the EFCore performs data operation, so that data access is more efficient and flexible. Meanwhile, the system supports parallel operation of a plurality of wire collecting machines, each wire collecting machine is managed through an independent thread, concurrence conflicts are avoided, PLC data can be obtained in real time, wire collecting machine equipment can be dynamically managed, and a proper label template is automatically selected for printing according to batch information.

The invention relates to a user data management method and device, computer equipment, a readable storage medium and a program product. The method comprises the steps that performance indexes of all resource pools are obtained from a database through a query interface, performance scoring is conducted on the resource pools according to the performance indexes, all the resource pools are sorted according to the sequence of scores from high to low, and under the condition that a write-in request initiated by a user is received, the resource pools are sorted according to the sequence of the current resource pools; and sequentially executing data writing operations for the resource pools in the corresponding sequence until the data writing is successful or the data writing operations of all the resource pools fail to be executed. By adopting the method, the load of the resource pool can be dynamically adjusted, and the data can be preferentially stored in the resource pool with good performance and sufficient available capacity, so that the utilization rate of the resource pool is improved.

The invention relates to a global quantum security network terminal nearby access method. According to the scheme of the invention, the terminal initiates the access request to the base station position management server, and the base station position management server can quickly match the access base station closest to the terminal, so that the access efficiency is remarkably improved, and the waiting time is shortened. In the access request process, the terminal carries its RID into the request, so that the base station can identify and verify the identity of the terminal. And when the terminal is switched from one base station to another base station, the RID of the terminal is used for initiating a roaming request to the target access base station. And the target base station carries the RI D to request related terminal parameter information from the original access base station so as to ensure that the identity and the state of the terminal can be correctly identified and managed in the roaming process. The terminal network access identifier and the base station network access identifier complement each other in the base station access process, so that smooth implementation of identity recognition, roaming management, security authentication and key management is ensured.

The invention discloses a dynamic control method for visitor authority of a park system. The method comprises the following steps: sending a menu item selected to be accessed by a visitor to a visitor authentication micro-service; receiving a visitor authority two-dimensional code generated by the visitor authentication micro-service based on the selected menu item; a visitor code scanning login request generated when a visitor scans the visitor permission two-dimensional code is sent to the visitor authentication micro-service; if the analyzed permission does not exist in the RBAC permission table, receiving an updated visitor permission two-dimensional code to enable the visitor to scan the code again to log in; otherwise, the visitor can log in the park system; a visitor logs in the park access system, and after the visitor selects a service request, a corresponding visitor access service request is sent to the gateway; and the gateway judges whether the visitor has the authority to access the business request, and if yes, the visitor access business request is forwarded to the corresponding business micro-service. According to the invention, the visitor demand is subjected to dynamic permission conversion and real-time updating, so that the efficient and high-quality access of the visitor to the system can be realized.

The invention relates to a wind-solar power fluctuation stabilizing method based on a hydraulic turbine set and energy storage, and belongs to the technical field of power grids. The method comprises the following steps: firstly, constructing a wind-light-water storage integrated power generation system; performing adaptive moving average filtering on the wind and light output power to obtain power meeting grid connection requirements and stabilizing reference power; then, parameters K and # imgabs0 # of variational mode decomposition are optimized through a whale optimization algorithm, reference power is stabilized through parameter-optimized VMD decomposition, and a mode component is obtained; performing Hilbert marginal spectrum analysis on each modal component obtained by VMD decomposition, and determining high and low frequency components according to a modal aliasing phenomenon; low-frequency signals are distributed to a hydraulic turbine set, high-frequency signals are distributed to a lithium battery, and wind and light power is stabilized. The method can effectively stabilize the fluctuation of the wind-light output power and is easy to popularize and apply.

The invention discloses a load-oriented dynamic self-adaptive semi-structured JSON (JavaScript Object Notation) data relation mode representation method, which is characterized in that a system architecture comprising a storage layer and a query layer and a load-aware dynamic self-adaptive multi-granularity analysis method are adopted to realize JSON data access with low online analysis overhead; the storage layer comprises data storage and analysis, metadata storage, a mode analyzer, a column counter and a trigger; the query layer comprises a data initialization loading module, a mode checking module and a query execution module; the load-aware dynamic self-adaptive multi-granularity analysis comprises the steps of determining analysis granularity, counting the frequency of query access content, dynamically expanding the analysis granularity, analyzing the granularity and a dynamic self-adaptive strategy of schema. Compared with the prior art, the method has the advantages that the analysis granularity of the JSON data is dynamically adjusted, the overhead of data analysis and access in the query process is reduced, the query delay and the overall throughput of the system are improved, and efficient access of the JSON data is realized.

The invention provides a Chinese assignment divergence retrieval system based on Elasticsearch. The system comprises a front end, a rear end and a database, the front end is used for uploading a Chinese assignment file by an administrator, dividing the Chinese assignment file into a Chinese assignment main file and a Chinese assignment attachment, and establishing association information between the Chinese assignment main file and the Chinese assignment attachment; the front end is also used for the user to retrieve a Chinese assignment main document and a Chinese assignment attachment based on an Elasticsearch algorithm; and the rear end is used for receiving the Chinese assignment file uploaded by the front end, embedding a downloading link of the Chinese assignment attachment in the main Chinese assignment file, and establishing an index relationship between the main Chinese assignment file and the Elasticsearch algorithm. According to the method, the Chinese assignment file is divided into the Chinese assignment main document and the Chinese assignment attachment, the association information between the Chinese assignment main document and the Chinese assignment attachment is established, and the index relation between the Chinese assignment main document and the Elasticsearch algorithm is established, so that a user can efficiently search Chinese assignment resources.

The invention discloses an electrified railway energy router system and a control method thereof, and relates to the technical field of electrified railway traction power supply. The back-to-back inverter BTB is composed of an inverter BTBalpha on the alpha-phase circuit side and an inverter BTBbeta on the beta-phase circuit side, and the direct current side of the cross-phase inverter IBI, the direct current side of the inverter BTBalpha and the direct current side of the inverter BTBbeta are all connected into the direct current bus DCB to form a star-shaped structure. The controller CC monitors and analyzes operation parameters of the traction load through a bidirectional signal port and controls output of renewable energy sources in the direct current source DS, charging and discharging of the energy storage device and working states of the cross-phase inverter IBI and the back-to-back inverter BTB, and the problems that a traditional back-to-back structure railway energy router is high in cost and difficult in engineering application are solved.

The invention discloses a target data feedback method and device, a storage medium and an electronic device, and relates to the technical field of smart homes.The target data feedback method comprises the steps that a received data access request is analyzed, and request configuration of the data access request is obtained, the request configuration is used for indicating at least one data source needing to be accessed by the data access request in a plurality of data sources, and a plurality of data source types corresponding to the plurality of data sources at least comprise a relational data source, a non-relational data source and an object storage data source; data requested by the data access request is obtained from the at least one data source through a preset component, and the preset component allows access to the multiple data sources; the data are integrated according to a preset rule, target data obtained through integration are fed back to a target object, and the target object is an initiating object of the data access request.

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 invention discloses a control method and system for a tower type automatic parking building, and the method comprises the steps: obtaining a vehicle entering request, extracting vehicle license plate number data in the vehicle entering request, and generating a grabbing instruction according to the license plate number data; the vehicle grabbing robot obtains the target vehicle position and target vehicle data according to the grabbing instruction, and the grabbing parameters of the vehicle grabbing robot are adjusted according to the target vehicle data; a parking area is allocated to the target vehicle, and the target vehicle is conveyed to the parking area for parking based on the vehicle grabbing robot; obtaining a warehouse-out request of the vehicle, extracting vehicle license plate number data in the warehouse-out request, and generating a warehouse-out instruction according to the license plate number data; and the vehicle grabbing robot recognizes and grabs the target vehicle according to the out-of-garage instruction and conveys the target vehicle to the out-of-garage position. Manual operation errors are reduced, safety is improved, the annular layout and the flexible pick-and-place robot design enable the vehicle access to be more efficient, and the operation efficiency is further improved.