40results about How to "Real-time processing" patented technology

The utility model discloses a coal mining machine roller wear monitoring and early warning device, which belongs to the technical field of coal mining machinery monitoring, and comprises a pair of monitoring semi-rings, a plurality of non-contact displacement sensors and a control module, the two side ends of each monitoring semi-ring are fixedly provided with mounting components, the pair of monitoring semi-rings is assembled into a monitoring ring through the mounting components, and the non-contact displacement sensors are arranged on the monitoring ring. A plurality of uniformly distributed monitoring holes are formed in the inner end of the monitoring semi-ring, the control module comprises a power supply and a microprocessor, the power supply is fixedly installed at the outer end of the monitoring semi-ring, the power supply and the non-contact displacement sensor are electrically connected with the microprocessor, and a plurality of sound-light alarm lamps are further installed at the outer end of the monitoring semi-ring. By adopting the non-contact displacement sensor and the laser measurement technology, the radial displacement change of the surface of the roller caused by abrasion can be monitored in real time, and data processing and abrasion degree calculation are performed through the microprocessor, so that the measurement accuracy and reliability are improved, and the measurement precision is improved. And errors caused by human factors in a traditional monitoring method can be avoided.

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.

The application relates to the field of high-speed communication and information network technology, in particular to a space expandable photoelectric information processing device, which comprises a device body, the device body comprises a power board module, an information processing board module, an interface board module, an expansion information processing module and a processing board heat dissipation top cover, a shielding block is arranged in the interface frame, and the device body comprises the processing board heat dissipation top cover. The application can not only improve the complex processing technology, overcome the deficiencies of the existing technology in the aspects of efficiency, cost, precision, material utilization rate, environmental protection and the like, improve the modularization and expandability of the system, improve the photoelectric data processing capacity, realize high integration and small and light design, help improve the heat dissipation performance and environmental adaptability of the device, and help unify the information processing of multiple types of photoelectric loads.

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.

The invention relates to the technical field of punching machines, in particular to a CCD servo hydraulic sliding table duplex punching machine which comprises a punching machine body, a dust sticking mechanism is fixedly mounted on one side of the punching machine body, a fixing frame is fixedly connected to one side of the dust sticking mechanism, a mounting frame is arranged above the fixing frame, and a plurality of groove dust sticking rollers are arranged on the mounting frame in a sleeving mode. The mounting frame is arranged, the groove dust-sticking rollers corresponding to the strip-shaped grooves in the surface of the product in size and number are arranged on the mounting frame, impurities in the strip-shaped grooves in the surface of the product can be treated through the groove dust-sticking rollers, omission and dead angles are reduced due to the fact that the groove dust-sticking rollers can be accurately matched with the grooves, and therefore the cleaning efficiency is greatly improved; and meanwhile, the detachable mounting frame is arranged, and the movable abutting frame is arranged in the mounting frame, so that the groove dust-sticking rollers of different numbers and sizes can be conveniently limited, the groove dust-sticking rollers can be easily replaced or adjusted according to production requirements, the device is suitable for products of different shapes and sizes, and the flexibility of the device can be improved.

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.

This utility model discloses a safety performance testing device for new energy vehicles, including an electric platform cabinet. A display screen is electrically connected to a built-in control board near the top of the front of the electric platform cabinet to intuitively display the results of different tests. A function key area is fixedly connected to the top of the display screen on the front of the electric platform cabinet, allowing operation of the entire safety performance testing program using multiple buttons within the function key area. A resistance tester is installed at the bottom of the inner part of the electric platform cabinet to test the resistance values ​​of the internal circuits. This utility model integrates multiple functions such as fast charging testing, slow charging testing, resistance testing, and potential equalization testing into a single electric platform cabinet, enabling the completion of core safety performance testing of new energy vehicles without the need for multi-station transfers. This significantly shortens the testing process, improves testing efficiency, and reduces equipment footprint and investment costs.

The invention relates to the technical field of internet of things intrusion detection, in particular to a double-queue memory and structural relationship distillation method for intrusion detection, which comprises the following steps of: enabling a model to learn feature representation with distinction degree through a double-queue collaborative memory network under the condition of completely not needing to mark data; according to the method, distance and angle relations in a sample feature space are comprehensively modeled by using a symmetric spatial structure relation distillation method, and a student model of lightweight design efficiently learns structural relation knowledge in the feature space of a teacher network through a teacher-student distribution bidirectional alignment mechanism, and linear fine adjustment is performed on the student model through a small number of labels. The effective intrusion detection system which is lightweight, can process data in real time and can run in an unsupervised mode is obtained, the problem of label dependence is relieved, and the method is suitable for an Internet of Things scene with limited resources.

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 utility model discloses a kind of EMG myoelectricity signal acquisition processing circuit for biofeedback therapy, including EMG sensor, first data processing circuit and second data processing circuit;One end of EMG sensor is connected with first data processing circuit, and first data processing circuit is connected with second data processing circuit;The other end of EMG sensor is used to collect the myoelectricity signal of human body;And the collected myoelectricity signal is transmitted to first data processing circuit, and second data processing circuit exports signal to host computer.In the utility model, by first data processing circuit to the myoelectricity signal is amplified and handled, can effectively enhance target signal, compared with background noise, improve signal-to-noise ratio, so that subsequent processing and analysis are more accurate.Signal processing is divided into two stages, can make whole system more flexible, different processing algorithm and function are convenient in different stages Application.By efficient circuit design, real-time signal acquisition and processing can be realized.

This invention relates to the field of electronic microphone audio signal processing technology, and provides an electronic microphone audio signal processing system and method, including a server connected to a signal acquisition module, a digital signal processing module, a digital-to-analog converter module, and an output module. The signal acquisition module includes a sound sensor, an analog front-end, and an analog-to-digital converter. The sound sensor uses a MEMS microphone array to convert changes in sound wave pressure into analog electrical signals. The analog front-end internally includes a preamplifier, a bias circuit, and an anti-aliasing filter. The preamplifier amplifies the electrical signal output by the microphone. The anti-aliasing filter filters out high-frequency components above the Nyquist frequency before analog-to-digital conversion, preventing aliasing distortion. This invention can process digital audio signals in real time and accurately, effectively eliminating echo, suppressing noise, stabilizing volume, and improving speech clarity and sound quality, greatly improving the audio signal processing quality of electronic microphones.

The utility model discloses an escalator with a disinfection device. The disinfection devices are arranged at the two rotating ends of the hand strap and comprise box bodies and floating pieces. A first liquid storage cavity, a liquid feeding groove and a liquid collecting groove are formed in the box body; a first communication port is formed between the liquid feeding tank and the first liquid storage cavity; the disinfection roller rotates around the central axis of the disinfection roller; the edge of the disinfection roller extends into the liquid feeding groove; a circle of sponge layer is arranged on the wheel surface of the disinfection roller; the floating part is arranged in the liquid feeding groove in a floating manner and is provided with a floating position for sealing the first communication port and a descending position for opening the first communication port; the wiping wheel rotates around the central axis of the wiping wheel; the edge of the wiping wheel extends into the liquid collecting tank; in the two groups of disinfection devices, the disinfection roller of the first disinfection device is in contact with the hand strap, and the wiping wheel of the second disinfection device is in contact with the hand strap. The hand strap of the escalator can be disinfected and wiped in real time, it is ensured that the hand strap is fully disinfected and is dry and comfortable, and automatic supplement of disinfectant is achieved.

The utility model relates to the technical field of inlet water treatment of ultrasonic cleaning equipment, in particular to an inlet water pretreatment device which comprises a device frame body, a front precision filter is mounted on one side of the surface of the device frame body, and a refining treatment mechanism is arranged on one side of the device frame body. According to the utility model, equipment water can be treated in real time, water oxidation and the like caused by long-time storage can be avoided due to small-amount storage, whether the water produced by the system reaches the ultrapure water standard can be directly judged through the conductivity detector, and meanwhile, the conductivity detector can monitor the EDI water production conductivity and assess whether the EDI working state is normal or not; the desalinization rate can be calculated by comparing the inflow water conductivity and the produced water conductivity of the EDI processor; the pre-filter can protect the booster pump, the EDI processor and the resin tank from being damaged by particulate matters, the booster pump provides necessary operating pressure for the EDI and the resin tank, and the EDI processor protects polishing resin, so that the polishing resin only needs to process trace ions, and the service life is prolonged.

The invention discloses a security check method and system based on multi-model collaboration, and the method comprises the steps: carrying out the preprocessing of multi-dimensional detection data of a target region, and obtaining a detection image and attached metadata; inputting the detection image and the attached metadata into a lightweight target detection model to obtain a target area image and structured metadata; respectively inputting the detection image, the attached metadata, the target area image and the structured metadata into a multi-modal large model to obtain global semantic information and local semantic information; performing keyword retrieval, vector matching and cross-modal adapter retrieval on the global semantic information in an external professional knowledge base to obtain safety knowledge entries; and inputting the local semantic information, the global semantic information and the safety knowledge entries into a multi-modal large model to obtain a potential safety hazard region, potential safety hazard contents, improvement suggestions and safety regulations. The method is high in positioning precision and high in output reliability, and has professional field knowledge guarantee.

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.

The application relates to a lock-free real-time flow system applied to electroencephalogram, which comprises a collecting unit, a first lock-free ring buffer, a buffering unit, a second lock-free ring buffer and a processing unit; the collecting unit is used for collecting electroencephalogram signals; the first lock-free ring buffer is used for storing the electroencephalogram signals received from the collecting unit in a lock-free mode; the buffering unit is used for performing data preprocessing operation on the electroencephalogram signals read from the first lock-free ring buffer, so as to obtain relevant feature data, and the feature data is stored, packaged and / or transmitted to the second lock-free ring buffer; the second lock-free ring buffer is used for storing the feature data received from the buffering unit in a lock-free mode; and the processing unit is used for suspending a thread after extracting the feature data from the second lock-free ring buffer, and classifying the feature data by using a deep learning algorithm. The application has flexible and efficient data management capability, and has wide adaptability and fast response speed.

This invention provides a method and system for constructing an industry graph based on scenario-based marketing, belonging to the field of industry graph construction technology. The method includes: processing media text to generate a text dataset using a BERT pre-trained model; processing scenario data to generate a behavioral dataset using a spatiotemporal calibration algorithm; aggregating these to generate an unstructured marketing dataset; combining the structured marketing dataset to generate a multimodal marketing scenario dataset; using a stream-batch integrated framework and entity disambiguation technology to process the multimodal dataset and construct a four-dimensional data lake; constructing a three-dimensional feature library and training a marketing scenario weight model; mapping the data lake to a graph database to form an industry chain topology; adjusting the strength of node relationships based on the weight model; learning the implicit features of nodes using the GraphSAGE algorithm; and generating a scenario-sensitive industry graph topology, thereby reflecting the relationships between industry entities in different marketing scenarios in real time and improving the accuracy of the industry graph in marketing decisions.

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 discloses a general obstacle detection method based on RGBD dense point cloud segmentation. Building upon traditional point cloud segmentation methods, it utilizes planar and obstacle geometric features to segment RGBD dense point cloud data, accurately extracting ground points and general obstacle points. This invention achieves effective ground removal and general obstacle detection with relatively low computational resources, exhibiting good real-time performance and stability, and has broad application prospects.

The utility model discloses artificial leather visual inspection equipment which is characterized by comprising an unwinding device, a front storage device, a visual inspection device, a winding device, a rear storage device and a winding device which are sequentially arranged, the visual inspection device detects surface defects of the artificial leather through a visual defect detection mechanism, and the main controller processes image data and displays a detection result in real time through a display. The front material storage device and the rear material storage device adjust the material storage length through a material roller frame lifting adjusting mechanism, and stable conveying tension is guaranteed. And the winding device adopts a double-station winding mode, so that the winding efficiency is improved. The device is simple and convenient to operate, high in detection precision and good in stability, and can meet the requirements of modern industrial production on artificial leather quality control.

The application provides an image super-resolution processing method and device, electronic equipment and storage medium. The method comprises the following steps: receiving a user input image to be processed; inputting the image to be processed into a lightweight neural network model, extracting detailed features of the image to be processed by the lightweight neural network, and fusing the extracted detailed feature map and the image to be processed to obtain a super-resolution image corresponding to the image to be processed. The user can directly process image data online on the terminal device, and the lightweight neural network composed of a convolution layer, a plurality of structure blocks and an up-sampling layer can greatly improve the image processing speed, avoid time-consuming network transmission and achieve real-time image processing.

The utility model belongs to the technical field of glass cement layer thickness detection, and particularly relates to a measuring device for measuring the thickness of a glass cement layer. A measuring device for measuring the thickness of a glass cement layer comprises a bottom plate, a test glass plate is arranged on the bottom plate, and a detection unit is arranged above the test glass plate; the laser emitter emits laser with the wavelength of 532 nm to the test glass plate, one path of laser is reflected to the beam splitter prism through glass, the other path of laser enters the glass and is refracted to the beam splitter prism, the beam splitter prism separates the two paths of reflected light and guides the two paths of reflected light to the double-quadrant photoelectric sensor, and the double-quadrant photoelectric sensor detects the light spot position difference of the two paths of reflected light; and the PLC is used for processing the signals of the sensor in real time, calculating the distance between the two light spots and reversely deducing the thickness of the coating.

An analyzer and method for on-line detection of trace neon in high-purity helium and ultra-pure helium, the analyzer comprises: a first switch valve, a purification device, a plasma emission detector, a signal acquisition system, a display device and a second switch valve, the first switch valve is used for controlling gas supplied to the purification device, the purification device is used for removing impurities except inert gas, and the plasma emission detector is used for detecting the trace neon in the high-purity helium and ultra-pure helium. The plasma emission detector uses an optical filter which allows light of 585 nanometers, 632 nanometers and 640 nanometers of characteristic peaks of a neon plasma emission spectrum to pass through, the second switch valve is connected with the plasma emission detector and used for controlling gas exhausted from the plasma emission detector, and the signal acquisition system is used for acquiring signals from the plasma emission detector. The display device is used for displaying analysis results of the signals. Therefore, carrier gas and a chromatographic column do not need to be used for separating gas impurities, the real concentration of neon in the sample gas can be directly reflected, the detection limit can reach 10 ppb or below, and the sensitivity is high.

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.