60results about How to "Fast data processing" patented technology

The invention provides an intelligent cold chain transportation information management method, system and device and a storage medium, and the method comprises the steps: recognizing the type of transported goods and environment demands through a task recognition module, and determining and configuring a target sensor of a cold chain vehicle through a sensor configuration module; the target sensor collects environment data, the vehicle-mounted GPS module collects position information and a driving state, the RFID tag records a cargo loading state, and all data are sent to the central management platform. The platform constructs a multi-dimensional feature vector, the multi-dimensional feature vector is compressed into a low-dimensional feature representation through an encoder, a reconstruction data vector is obtained through reconstruction of a decoder, and a reconstruction error is calculated. And by analyzing the reconstruction error, the platform generates an analysis result, and the environment control equipment in the vehicle is automatically adjusted according to the result, so that the stability of cargo transportation is ensured.

The invention provides a water quality monitoring system model construction method and device based on edge calculation and computer equipment, and relates to the technical field of water quality monitoring. The invention aims to solve the problems of data processing delay and insufficient real-time performance in the traditional water quality monitoring technology. The method comprises the key steps that the collecting end is arranged at a key monitoring point of a water body to collect water quality parameters, the water quality parameters are sent to the edge end for real-time data processing, water quality prediction and anomaly detection are conducted in combination with the BP neural network and the support vector machine, and quick response to water quality changes is achieved. And meanwhile, deep learning and a support vector machine are combined, so that the prediction precision and the anomaly detection capability are improved. And the water quality condition is comprehensively evaluated through a comprehensive weighted index method, so that a manager can identify a pollution source more quickly and take effective countermeasures. The water quality monitoring efficiency and accuracy are improved, and solid technical support is provided for sustainable management of water resources.

The invention belongs to the technical field of fault prediction, and discloses a fault prediction method and system for an intelligent accessory monitoring platform. The method comprises the following steps: an intelligent accessory monitoring platform constructs a knowledge graph, a fault prediction model and a fault maintenance strategy generation model; performing knowledge mapping on the real-time monitoring log by using a knowledge graph to obtain a semantic enhanced real-time monitoring log; performing fault prediction by using a fault prediction model according to the real-time operation monitoring data and the semantic enhanced real-time monitoring log to obtain a real-time fault prediction result; generating a fault maintenance strategy by using a fault maintenance strategy generation model according to the real-time fault prediction result to obtain a real-time fault maintenance strategy; and visually displaying the real-time fault prediction result and the real-time fault maintenance strategy of the attachment. According to the invention, the problems of insufficient fault prediction accuracy, insufficient data processing capability and low intelligent degree in the prior art are solved.

The invention provides a data processing method and device, a computer program product, equipment and a medium, and the method comprises the steps: obtaining to-be-processed data, and inputting the to-be-processed data into a data processing model, the data processing model comprises an interference gating module constructed based on an interferometer, an interference fine tuning module, and a plurality of diffraction expert modules constructed based on sub-wavelength units; determining one or more data flow direction objects matched with the to-be-processed data according to an interference gating module in the data processing model; according to a diffraction expert module matched with the data flow direction object in the data processing model, performing data processing on the to-be-processed data to generate a first processing result; and processing the first processing result according to an interference fine tuning module in the data processing model to output a target processing result. On the basis of an interference-diffraction model architecture, all data processing steps are completed on an optical calculation device, and performance loss caused by frequent photoelectric conversion / digital-to-analog conversion is avoided, so that the overall data processing speed is increased.

The invention discloses a method and a system for improving data interaction efficiency of a hyper-converged architecture, relates to the technical field of hyper-converged architectures, and aims to solve the problems of network bottleneck and storage delay of data transmission among different virtual machines or containers in the conventional hyper-converged architecture. According to the scheme, a data transmission optimization module needs to be introduced into a hyper-converged architecture, so that the data access speed and the network efficiency are improved through data prefetching and an intelligent routing technology; the distributed cache module is used for relieving the pressure of a single node and ensuring accurate synchronization of data through data locality optimization and cache consistency management; the parallel data processing module is used for improving the data processing efficiency through task parallelization and data fragmentation technologies; and the self-adaptive load balancing module is used for dynamically adjusting resource allocation according to the system load and the resource use condition so as to realize the balance of calculation, storage and network load. The method reduces the delay, improves the throughput, and improves the overall performance and resource utilization rate of the system.

The invention provides a lightweight real-time data system, and relates to the technical field of data processing, a system management module, a data governance module, a data acquisition module, a data service module and a data asset module form a whole system structure, and a data quality evaluation model ensures the accuracy, integrity and consistency of data. The data acquisition module efficiently manages a data source; the data service module provides safe and reliable data access; the data asset module reasonably allocates resources, provides a decision basis and periodically updates and maintains; the lightweight design is adopted; universal data acquisition, calculation processing, data management and data service functions are integrated, repeated related code writing is reduced, flexible configuration and rapid deployment are realized, a business application construction mode is innovated, and lightweight processing enables the data system to adapt to global tourism management platforms and scenic spot management platforms of different scales and types.

The invention provides a fluid identification method, device and equipment and a storage medium, and the method comprises the steps: obtaining the geological information data of a to-be-identified region, building a plurality of well-connecting stratigraphic framework profiles, and calibrating the horizon; obtaining first wide-area apparent resistivity data of all layers in the to-be-identified area and second wide-area apparent resistivity data of a target layer in the to-be-identified area, and replacing the data of the target layer in the first wide-area apparent resistivity data with the second wide-area apparent resistivity data to obtain an electrical comprehensive data volume; carrying out joint constraint inversion according to the multiple well-connected stratigraphic framework profiles and the electrical comprehensive data volume to obtain multiple inversion apparent resistivity distribution profiles, determining a target inversion apparent resistivity distribution profile, obtaining a wide-area fluid identification standard, carrying out fluid identification division on the multiple inversion apparent resistivity distribution profiles, and carrying out fluid identification division on the wide-area fluid identification standard. And further obtaining a fluid plane identification result of the to-be-identified area. According to the invention, high-precision fluid identification of the target layer in the to-be-identified area can be realized through the logging data and the electromagnetic data.

The invention provides a DMA processor and a data processing system. The DMA processor comprises an APB control module and a function module. The function module comprises a selection module and a sub-function module; the sub-function module comprises a data search module, a data XOR module, a data comparison module and an AXI read-write module; the APB control module receives a data processing task issued by the CPU, analyzes the data processing task, generates task parameters and sends the task parameters to the function module; the selection module is used for sending the task parameters to the corresponding sub-function modules according to task types in the task parameters; and the sub-function module receives AXI return data and returns an operation result to the CPU. The APB is used for controlling DMA operation, the memory is accessed through the AXI interface, the functions of data migration, data filling, data searching, data XOR and data comparison are achieved, the data processing speed of a CPU is increased, cost is low, and the functions are powerful.

The invention provides a programmable AES (Advanced Encryption Standard) encryption module hardware accelerator, an instruction set and an operation method.The accelerator is connected with a bus, carries out data interaction with the bus and carries out AES encryption and decryption on data, the accelerator comprises a master device and a slave device which are connected with the bus, the main equipment is used for receiving and transmitting a data carrying instruction; the slave device communicates with other modules on the bus and receives the data carrying instruction and data of the master device; the slave device is connected with the decoder through an instruction stack and transmits an instruction to the decoder; the decoder decodes the instruction transmitted from the slave device and sends the decoded instruction to the calculation module or the carrying module connected with the decoder for corresponding operation or data transmission; the instruction set is used for controlling the accelerator; the operation method is realized by adopting the accelerator.

The invention discloses a method for automatically generating library table resources based on data collection, and relates to the technical field of big data. Comprising the steps of 1, configuring basic information of library table resources through a front end, 2, uploading an Excel data file, 3, creating a library table: automatically detecting whether the library table exists or not, updating a table structure if the library table exists, and automatically constructing a data table structure according to the configured basic information of the library table resources if the library table does not exist, 4, importing data: sending a request to a file server, the method comprises the following steps: step 1, acquiring an Excel file by introducing a unique identifier of a file, analyzing file content, and generating and executing SQL (Structured Query Language) statements to import data in batches, and step 2, creating library table resources: associating the imported data with a corresponding catalog according to a configured information resource catalog, and setting resource attributes: setting a corresponding attribute for each library table resource, the method comprises the following steps of: storing basic information of library table resources in a metadata system, and generating and managing the library table resources: generating a library table resource management system which comprises all imported data tables and catalogs and metadata information associated with the data tables, data resources are managed and queried through a system.

The invention discloses a method and system for dynamically evaluating trafficability of a monorail crane in an underground coal mine roadway, and the method comprises the steps: obtaining roadway video information through video collection equipment, and analyzing and recognizing the position of roadway rock damage or deformation; for the damaged or deformed position, the running speed of the monorail crane is reduced in advance, and the deformation amount is analyzed through the three-dimensional laser point cloud technology; preliminarily judging the trafficability of the monorail crane in the current roadway by referring to the range of the key size of the monorail crane, and if the monorail crane is impassable, performing multipoint cloud offline fitting accurate judgment; and evaluating the trafficability of the monorail crane according to the judgment result, and providing driving suggestions for the monorail crane. According to the method, the trafficability of the monorail crane in the underground coal mine roadway can be dynamically evaluated, and safe operation of the monorail crane is guaranteed.

The invention provides a converter molten steel temperature measurement and carbon determination method adopting a multispectral infrared detection technology, which belongs to the technical field of steelmaking and comprises the following steps: detecting molten steel in a converter by using a multispectral thermodetector; collecting infrared spectrum data of the molten steel; according to the Hough law and known spectral line characteristics, the temperature of the molten steel is reversely deduced through spectral data; through multi-channel data processing and algorithm optimization, the molten steel temperature is calculated in real time, and the measurement precision is improved. The sublance system directly extracts a high-temperature molten steel sample in the converter smelting process and pretreats the high-temperature molten steel sample; irradiating the pretreated sample by using an excitation light source, and exciting the carbon element in the sample to emit a spectral signal with a specific wavelength; selecting a specific wavelength in the molten steel for spectral analysis; acquiring the concentration of carbon in the molten steel according to the emission or absorption characteristics of gas molecules in the molten steel; the method comprises the following steps: establishing a model by utilizing multispectral data, and establishing a relationship between spectral characteristics and carbon content through a regression analysis or machine learning algorithm;

The invention relates to the technical field of intelligent whistle limiting scheme design of rail locomotives, in particular to an intelligent whistle limiting method and system of a rail locomotive and electronic equipment. The method comprises the following steps: S100, acquiring GPS data and inertial sensor data of a rail locomotive; s200, performing data fusion based on the obtained GPS data and inertial sensor data of the rail locomotive to obtain fusion position data of the rail locomotive; and S300, judging whether the fusion position data of the rail locomotive is located outside a preset geo-fence or not, and judging whether to control the whistling function of the rail locomotive to be closed or not according to a judgment result. And by fusing the data of the GPS and the IMU, the positioning accuracy and stability are remarkably improved. The system redundancy design is realized, and the reliable positioning service can be maintained even in a severe environment. And through the use of the STM32 single-chip microcomputer, rapid and real-time data processing is realized, and the response speed of the system is improved. Unnecessary noise is reduced, and a better living environment is provided for residents.

The invention discloses a cable early fault intelligent detection system, which is characterized in that a hybrid architecture of an FPGA (Field Programmable Gate Array) and a domestic D2000CPU (Central Processing Unit) is combined, and efficient data processing and fault identification are realized. According to the system, cable current signals are accurately acquired through the FPGA, transient detection is performed by applying an accumulative summation algorithm, and transient occurrence and single-phase types thereof are effectively verified. Furthermore, the D2000CPU performs harmonic feature extraction by using an ADALINE algorithm, and realizes high-precision identification of the early fault of the cable in combination with a double-threshold judgment strategy. According to the invention, the data processing speed is fast, the anti-noise capability is strong, the real-time performance of the system is enhanced, and the significant advantage of the corresponding detection strategy is easy hardware realization, and has the advantages of high precision, fast speed and the like. And meanwhile, original current data are uploaded to the upper computer, and high flexibility and visualization capability are achieved.

The invention discloses a quantum computing task optimization processing method and device and a quantum computer.The processing method comprises the steps that a server side calls a first data packet to conduct task analysis, and the first data packet is analyzed into a plurality of different subtasks; obtaining a target sub-task, and performing waveform calculation and compiling on the target sub-task to obtain a compiling result; the server side issues the compilation result to a subsequent module for processing, updates the next subtask to the target subtask, and returns to perform waveform calculation and compilation on the target subtask until all subtasks are processed by the subsequent module; the first data packet is formed by performing waveform description on waveform data, and the waveform data corresponds to a quantum computing task to be executed. The method has the advantage that the overall processing speed of the quantum computing task can be greatly increased.

The invention belongs to the technical field of data between upstream and downstream of a supply chain, and relates to an aircraft manufacturing supply chain cross-domain data sharing method based on an alliance chain. According to the method, encryption is performed during data storage, so that the privacy of the data is guaranteed. Meanwhile, IPFS storage is adopted, the data processing speed and the alliance chain data storage efficiency are improved, and distributed information also guarantees the storage reliability. The zero-knowledge proving technology is adopted in the data verification process, the ownership of the data is guaranteed, and the right guarantee of the aircraft manufacturing data is further enhanced. According to the invention, a digital signature technology is adopted during data sharing, so that the data integrity is guaranteed. According to the method, identity distinguishing is given to different nodes on the alliance chain, and the consistency of cross-domain data sharing is guaranteed.

This invention discloses a liquid-cooled heat dissipation chip structure and its packaging method, relating to the field of chip technology. The liquid-cooled heat dissipation chip structure includes: a chip with accommodating channels formed therein, and coolant filled into the accommodating channels; a substrate, on which the chip is packaged; and a cooling fan mounted on the side of the chip away from the substrate. This invention solves the problem of chip overheating leading to decreased chip computing performance and slowed data processing speed.

The embodiment of the present invention discloses a laser radar circuit system and a laser radar, wherein the circuit system includes: a transmitting control module for controlling the transmitting unit of the laser radar; a receiving control module for controlling the receiving unit of the laser radar; a scanning control module for controlling the galvanometer of the laser radar; a preprocessing module including a plurality of preprocessing branches, each of which is used to preprocess the reflected laser received by the receiving unit; and a data processing module connected to the preprocessing module for processing the preprocessed data to obtain ranging information. The preprocessing module of the circuit system of the present invention includes a plurality of preprocessing branches, which can simultaneously process the reflected laser received by the receiving unit in multiple parallel channels, thereby improving efficiency and processing data at a fast speed. In addition, the circuit system of the embodiment of the present invention includes a plurality of control modules, but has a high degree of integration and a small size.

This invention relates to the field of high-performance embedded real-time operating system application technology, and provides a method for task processing and human-machine interface processing on a display console based on VxWorks SMP, including: S1: Building a display console with a computer installed, configuring various control components and a display, and using the VxWorks SMP system to concurrently execute the task processing and human-machine interface processing functions that traditionally require two separate computers on the display console on this computer; S2: Developing and generating system-related project files using VxWorks development tools, and allocating and configuring task processing threads, human-machine interface processing threads, and control response underlying processing tasks, while configuring inter-task cooperation and protection mechanisms; S3: Writing a script program, guided by the VxWorks system, to load the control response underlying processing task binding project, task processing thread project, and human-machine interface processing thread project step by step. This solves the difficulty of concurrent operation of display console task processing and human-machine interface processing in VxWorks SMP.

The present invention discloses a dual-time remote sensing change detection method combining local representation and global modeling, including: obtaining a dual-time remote sensing image pair and dividing the image into sub-images of the same size; establishing a dual backbone network model and pre-training; using the pre-trained dual backbone network model to extract features from the sub-images, and correspondingly obtaining multi-scale local feature maps and global feature maps; performing a dual-branch information cross-fusion operation on the local feature maps and the global feature maps at the same spatial resolution to obtain a joint representation; performing a multi-scale feature map fusion operation on the joint representation of different spatial resolutions to obtain a multi-scale fused feature map; performing difference, upsampling and convolution transformations on the multi-scale fused feature maps obtained from the corresponding sub-images in the image pair in sequence to obtain a change detection map. The method can achieve better target positioning, edge refinement and semantic understanding, ensure detection accuracy and generalization performance, and has a fast data processing speed.

This invention discloses a multi-dimensional privacy information perception and collection method. It constructs a formal description model of multi-dimensional privacy information, characterizing privacy information from multiple perspectives, including its composition, attributes, permissions, and control. Based on active learning and transfer learning algorithms, it builds a metadata intelligent perception, identification, and labeling method adaptable to various application scenarios and privacy protection strategies. This patent's advantages in adapting to multiple scenarios and information types allow it to adapt to the impact of changing application scenarios on privacy properties, reduce the concealment of privacy information caused by multiple information types, and improve the accuracy of privacy information perception. It focuses on perceiving multiple types of privacy information, comprehensively perceiving different privacy types such as text, images, and sound. Compared to existing single-type privacy perception methods, it is more beneficial for subsequent privacy strategy formulation and privacy control implementation, improving user privacy security. It has strong privacy perception capabilities, can process different types of data in parallel, and offers accurate privacy positioning and fast data processing.

The invention provides an underground water level measuring method and device and a computer program product, and the method comprises the steps: respectively obtaining gaps between adjacent water-containing medium layers in a plurality of geological drill holes, and obtaining a plurality of medium gaps; determining a predetermined area according to the plurality of medium gaps; a measuring light beam is emitted in the observation drill hole, a water surface laser point position is formed, the water surface laser point position is processed, and an uncorrected water level is obtained; a compensation light beam is emitted in the compensation drill hole, a covering light spot covering the water surface laser point position is formed, inversion calculation is conducted on the covering light spot and the uncorrected water level, and simulation emission parameters are obtained; calculating the actual emission parameter and the simulation emission parameter of the compensation light beam to obtain the compensation proportion, and determining the observation water level according to the compensation proportion and the uncorrected water level. The problem that in the prior art, underground water level measurement is not accurate is solved.

The invention discloses a lightweight power secondary equipment data access method and system. Defining all data types of the power secondary equipment data to form a data type table; defining a structural body head according to the data index number, the data name, the data type, the data length, the data quality and the data value; defining data table configuration rules including an ID, a key name, a column name, a table width, a display mode and a conversion rule; performing data display and configuration in the tool software based on the data table configuration rule; based on the data table configuration rule and the structural body head, generating a structural body and corresponding data in the tool software; defining a unified data access interface; based on the interface, the communication software accesses different data values according to data types, or transmits the data values to a debugging tool for numerical value display; and the display software accesses the data name and the data value according to the data type and is used for locally displaying the current equipment data. According to the invention, universal configuration, display, operation and flexible access of various data variables are realized.

The utility model provides a multi-split data acquisition networking architecture, which comprises a data acquisition rod and N inverters, and is characterized in that each inverter comprises a communication mainboard, a power supply port and an RS-485 port; in each inverter, the power supply output end of the communication mainboard is connected with the power supply port, and the communication end of the communication mainboard is connected with the RS-485 port to form an RS-485 communication branch line; the power supply input end of the data acquisition rod is connected with the power supply port of the nth inverter to obtain a power supply; the communication end of the data acquisition rod is connected with the RS-485 port of the nth inverter, and the RS-485 ports of all the inverters are connected in series to form an RS-485 communication bus; wherein N is a positive integer greater than or equal to 2, 1 < = n < = N, and n is a positive integer. The utility model has the advantages of simple structure, fast data processing, small packet loss probability, simple and reliable connection mode, low cost and the like.

The present invention provides a lightweight real-time data system, which relates to the technical field of data processing. A system management module, a data governance module, a data acquisition module, a data service module and a data asset module constitute the entire system structure. A data quality assessment model ensures the accuracy, integrity and consistency of data. An anomaly detection model can timely discover abnormal values. The data acquisition module efficiently manages data sources. The data service module provides safe and reliable data access. The data asset module reasonably allocates resources, provides a basis for decision-making and regularly updates and maintains. A lightweight design is adopted, and general data acquisition, calculation and processing, data management and data service functions are integrated to reduce repetitive related code writing, realize flexible configuration and rapid deployment, and innovate business application construction modes. Lightweight processing enables the data system to adapt to global tourism management platforms and scenic area management platforms of different scales and types.

The invention provides an intelligent indexing method and system for a radiation effect database based on an AI large model, and the method comprises the steps: setting a corresponding tag database through the intelligent indexing system for the radiation effect database, extracting keywords of uploaded text data, carrying out the matching of the keywords and tags, and uploading the text data to different tag databases for a user to search and consult. According to the method, the AI large model is introduced into the radiation effect database, a large amount of text data is concluded and classified by means of extracting keywords and tags, the radiation effect database accurately gives information required by a user based on the strong learning ability of the AI large model and existing research data in the database, data processing of the database is improved, and the user experience is improved. And the questions of the user can be answered more intelligently due to the induction and sorting capability.

The present invention relates to a signal processing system and method for an electrical chromatography mud concentration meter, belonging to the technical field of dredging engineering, and characterized in that it is composed of a sensor electrode, an excitation signal generating unit, a signal acquisition processing unit, an image reconstruction unit and a control unit; wherein: the sensor electrode acquires the information of the electrical chromatography mud concentration; the excitation signal generating unit receives the information output by the sensor electrode, and performs analog-to-digital conversion on the information; the signal acquisition processing unit receives the digital signal of the excitation signal generating unit, and performs gating, amplification, filtering, and signal conversion processing on the digital signal; the image reconstruction unit receives the information of the control unit, and reconstructs the information. The present invention can overcome the problems of large signal processing volume, fast processing speed, and complex algorithm structure.

The present application relates to a target tracking method, device, computer equipment and storage medium. The method includes: obtaining a video frame sequence, determining a channel pruning parameter and a target depth feature map corresponding to a target area according to the convolution result of the corresponding feature of the first frame image in the video frame sequence, determining a target search area and a second depth feature map corresponding to the target search area in the target frame image, wherein the second depth feature map corresponds to n feature channels, performing channel pruning on the second depth feature map according to the channel pruning parameter to obtain a second retained feature map, wherein the second retained feature map corresponds to m feature channels, where m is less than n, reducing the amount of data involved in subsequent target positioning coordinate calculations through channel pruning, determining the positioning coordinates of the target area in the target frame image according to the depth features after channel pruning, accelerating the data processing speed of target object tracking and positioning, and improving the real-time tracking of the target object.

The invention relates to a testing device and a testing method for the volume stability of concrete in a gobi desert erosion environment based on a DIC technology, and belongs to the technical field of concrete performance detection. In order to solve the problem that the concrete performance in the severe environment of the gobi desert cannot be detected at present, an erosion environment simulation system, a DIC image acquisition system and an image data analysis and calculation system are arranged, and the erosion environment simulation system comprises an environment simulation box and an equipment control box; the DIC image acquisition system comprises an electric slide rail, a CCD (Charge Coupled Device) industrial camera, an industrial lens and a data transmission line and is used for performing image acquisition on the concrete test piece, and the image data analysis and calculation system is used for processing image information transmitted by the CCD industrial camera and calculating the volume stability of the concrete test piece. According to the invention, the whole-process detection of the concrete volume stability change in the gobi desert erosion environment can be realized, the equipment operation is simple, and theoretical basis and data support are provided for the research and application of the concrete performance in the harsh environment.

The present invention discloses a method for predicting wind speed at coastal sites based on a Top-K spatiotemporal graph attention network, comprising: step 1: inputting wind speed and related auxiliary feature data collected at each site in the coastal area; step 2: constructing a wind speed prediction model; step 3: inputting the processed data in step 1, and training the prediction model constructed in step 2; step 4: calculating the accuracy of the model prediction, and if the accuracy exceeds a preset threshold, executing step 5, otherwise, returning to step 3; step 5: inputting the wind speed data and related auxiliary feature data of each site in the coastal area into the trained prediction model, and obtaining wind speed prediction values ​​of multiple sites in the coastal area. Compared with the prior art, the present invention has the advantages of good prediction effect, good practicality, etc.