14results about How to "Real-time processing" patented technology

The application discloses an Internet of Things mass service bill processing system, method and device and a storage medium, and comprises an application software service layer, a platform environment service layer and an infrastructure service layer.The application software service layer is used for collecting first service bills, and performing format analysis, deduplication, merging and distribution processing on the first service bills to obtain first bill files and first bill messages, and then uploading the first bill files and the first bill messages.The platform environment service layer is deployed with a distributed file system, a distributed coordination service, a data database and a streaming processing framework, is used for receiving the first bill files and the first bill messages, and performing full-amount synchronization on the data database according to the first bill files and incremental synchronization on the data database according to the first bill messages.The infrastructure service layer comprises a bottom cloud host, and is used for providing a computing resource pool, a storage resource pool and a network resource pool.The application improves the processing efficiency of service bills, optimizes the use perception of users, and can be widely applied to the technical field of data processing.

This invention provides a multi-channel image sensor data transmission system and optoelectronic system based on FPGA-PCIe, belonging to the technical field of video processing and acquisition systems. The multi-channel image sensor data transmission system includes an FPGA circuit board, external memory, and a back-end image processing platform. The FPGA circuit board includes an integrated image processing module, a bus control module, and a PCIe interface control module. Utilizing an FPGA to process and acquire multiple sensor video streams saves hardware costs and circuit board area. It also ports various operation operators to the FPGA, enabling real-time processing and acquisition of the currently transmitted video stream, improving the real-time performance of the operation. Simultaneously, it achieves control and transmission of multiple video streams, meeting the requirements for data transmission agility and high speed. This solves the problem in existing methods where inconsistent video resolutions and frame rates from different image sensors lead to insufficient data bandwidth to meet protocol requirements, resulting in the inability of PCIe devices at both ends of the FPGA to communicate normally.

A device and method for detecting the pull-out force of planetary gear shafts in automatic transmissions belong to the technical field of automotive automatic transmissions. The device includes a base, a gantry bracket, replaceable testing support fixtures, a pressure detector, a testing platform, a pressure sensor, a hydraulic cylinder, replaceable pressure heads, guide columns, and a hydraulic mechanism. All components are rigidly connected. The fixtures and pressure heads are interchangeable to accommodate different specifications of planetary gears. The hydraulic mechanism supplies pressure to the hydraulic cylinders, and the pressure sensor collects force values. The testing method includes four steps: fixture adjustment, placement and positioning, pull-out detection, result judgment, and completion. Hydraulic force is applied to press the shaft, the sensor collects data, and the detector performs judgment, storage, and data export. This invention, through multi-system collaborative design, achieves accurate and quantitative detection of the pull-out force at the riveting joint of the planetary gear shaft. It combines versatility, convenience, and data traceability, effectively solving many shortcomings of existing testing methods and providing reliable assurance for riveting quality control.

This invention relates to a method for synchronous detection of road surface anomalies based on hyperspectral imaging, belonging to the field of hyperspectral image processing and remote sensing detection technology. It solves the problems of low data processing efficiency, limited detection functions, and insufficient real-time performance in existing technologies. The method includes: acquiring hyperspectral images of various road surfaces, extracting key features, generating hyperspectral fingerprints, labeling road surface categories, and constructing a hyperspectral fingerprint database; training a fingerprint comparison model based on the hyperspectral fingerprint database to obtain a pre-trained fingerprint comparison model; acquiring road hyperspectral images in real time, extracting key features, generating a hyperspectral fingerprint to be tested, and obtaining the road surface category of the hyperspectral fingerprint to be tested based on the hyperspectral fingerprint database, the pre-trained fingerprint comparison model, and a hierarchical comparison strategy. This enables simultaneous detection of multiple anomalies such as icing, water accumulation, and road surface deterioration on an UAV-borne terminal.

The application discloses a profile error calculation method for a numerical control machining device, and relates to the technical field of numerical control machining.The method takes a time point corresponding to an expected position point as an initial value of a Newton iteration method, determines a potential time interval in which a time point corresponding to a minimum value of a profile error evaluation function is located by using a gradient descent method, and then dynamically switches the Newton iteration method and a dichotomy method to accurately solve a target time point in the potential time interval, so that the method quickly and reliably converges to a local optimal point closest to the expected position point.The method has the speed of the Newton iteration method and the stability of the dichotomy method, improves the reliability and robustness of a profile error calculation result, and provides an efficient and stable calculation basis for subsequent profile precision control and real-time compensation.

This utility model discloses an audio processing module for an industrial camera with sound field direction analysis, including a microphone array containing at least three asymmetrically distributed directional microphones, configured in the circumferential edge region of the industrial camera housing, for acquiring multi-channel audio signals within the target sound field range; through the setting of high-precision sound field direction, and through a dual-layer asymmetrical microphone array (6 cardioids in the inner ring + 12 supercardioids in the outer ring) and MVDR beamforming algorithm, a 2.5° azimuth resolution is achieved in the 12kHz frequency band, which is 67% higher than that of traditional uniform arrays, and effectively suppresses multipath reflection interference in the industrial environment (positioning error < ±5cm / 3m).

The application discloses a kind of indoor concealed listening system based on DAS, belong to optical fiber acoustic wave sensing technical field, including sequentially connected DAS optical path, signal acquisition demodulation module integrated in FPGA end and noise reduction module integrated in PC end, DAS optical path is coupled with the reference light after attenuator with backscattering light of acoustic wave information, signal acquisition demodulation module is used to receive the electrical signal after AD module, IQ demodulation module, phase difference module and phase unwrapping module to obtain amplitude data and real phase data, noise reduction module is used to audio data noise reduction enhancement, realize sound play and phase diagram, spectrum diagram display;The scheme provided by the application effectively improves the definition of system sensing sound restoration, can acquire and process sound signal in real time, meet the application requirement of indoor concealed listening in actual scene, provide reliable support for important place safety monitoring, ruins rescue and the like.

The application provides an FPGA-based EtherCAT master station topology dynamic control system, comprising: an EtherCAT master station integrated with an FPGA chip, the EtherCAT master station being configured with a main network port and a redundant network port; a plurality of EtherCAT slave stations connected in sequence, the main network port of the EtherCAT master station being connected to a first end slave station of the plurality of EtherCAT slave stations; the FPGA chip being used to confirm that a network topology formed by the EtherCAT master station and the EtherCAT slave stations is in a linear mode or a ring mode according to a connection state of the redundant network port; wherein in the linear mode, the redundant network port is in a disabled state, and in the ring mode, the redundant network port is connected to a last end slave station of the plurality of EtherCAT slave stations; and the FPGA chip is further used to control the connection state of the redundant network port to switch the network topology between the linear mode and the ring mode.

This invention discloses an enterprise procurement supply chain collaborative management system, comprising: a perception layer deployed at each node of the procurement supply chain, used to collect data on the flow and processing of renewable resource materials through passive RFID tags built into heterogeneous devices, and to perform data verification and synchronization through an inter-device self-organizing network; a trust layer used to bind the operator's biometric information with their identity, operating permissions, and initial credit rating, and to dynamically manage credit and cross-enterprise permissions based on their operating behavior and device feedback; and an analysis and decision-making layer used to analyze and issue early warnings on the perceived data through an edge computing module, and to simulate the value transformation path under different working conditions through a virtual mapping model. By deploying computing modules at the network edge, this invention can process data locally, independently and quickly identify and issue early warnings for anomalies such as equipment failures and quality deviations, achieving a leap from post-event response to pre-event prediction and in-event intervention.

This invention relates to the field of data processing, and more particularly to a human-computer interaction method for an intelligent simulated baby robot based on user behavior pattern recognition. The method includes: real-time acquisition and preprocessing of user behavior data; extraction of preliminary feature data from the preprocessed behavior data and dimensionality reduction processing to obtain dimensionality-reduced feature data; intelligent fusion processing of the dimensionality-reduced feature data using an adaptive spatiotemporal feedback embedded multidimensional data fusion algorithm to obtain comprehensive behavior data and identify the user's current needs; prediction of user behavior based on the comprehensive behavior data; merging the user's current needs with the predicted user behavior results to obtain a comprehensive demand result; and calculation of the optimal response delay time based on the comprehensive demand result to realize the interaction between the intelligent simulated baby robot and the user. This method solves the technical problem of inaccurate and incomplete processing of user behavior data by traditional robots, leading to poor adaptability and stability in interaction with the simulated baby robot.

The present application relates to the field of multispectral infrared analysis, and discloses a multispectral infrared data processing method, system and electronic equipment. The method comprises the following steps: splitting a multispectral processing function into a plurality of multispectral processing sub-modules, compiling and encrypting the multispectral processing sub-modules to obtain an encrypted Wasm module; obtaining multispectral original data of a target object and converting the multispectral original data into binary data; screening and decrypting the encrypted Wasm module according to a scene trigger and a terminal performance detection result to obtain a decrypted module; and inputting the binary data into the decrypted module for processing to obtain a data processing result. The present application directly encapsulates a multispectral processing function algorithm through Wasm, and the execution efficiency is close to that of original code, so that real-time data processing is realized to meet the demand for on-site real-time analysis. The Wasm module can be uniformly run in different terminal environments, the development and maintenance cost is reduced, the Wasm module exists in the form of encrypted binary data and cannot be decompiled, and the core algorithm is protected.

This invention relates to the field of multi-source data acquisition technology, and discloses a multi-source data acquisition device and system based on an industrial internet platform, including a main control processing module, a multi-source interface acquisition module, a dynamic switching buffer module, an anomaly isolation module, a time alignment compensation module, and a self-verification transmission module. In this invention, through the collaborative work of the multi-source interface acquisition module and the main control processing module, unified access and processing of different types of data sources in the industrial field are realized. The multi-source interface acquisition module can automatically identify the communication protocol type of the access data source, and calculate the adaptation priority value through the protocol adaptation unit, and perform protocol conversion in sequence according to the priority value, so as to ensure that various heterogeneous protocol data are efficiently and reliably accessed by the main control processing module. At the same time, the main control processing module can receive and process data from each channel in real time, ensuring that the data has completed preliminary protocol unification before entering the dynamic switching buffer module.

The application relates to a neighborhood voxel storage method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a current voxel of a current frame; assigning a corresponding voxel storage space to the current voxel; determining a target neighborhood voxel corresponding to the current voxel; acquiring a storage space address corresponding to the target neighborhood voxel; storing the storage space address corresponding to the target neighborhood voxel in the voxel storage space of the current voxel; and updating the voxel storage space of the target neighborhood voxel based on the space address corresponding to the voxel storage space of the current voxel. The method can reduce the time consumption of obtaining neighborhood voxels.