36results about How to "Data processing is simple" patented technology

The invention relates to the technical field of pilot state monitoring, in particular to a pilot state monitoring and flight data real-time synchronous fusion system, which comprises an information acquisition module used for acquiring physiological state information of a pilot and flight data information of an airplane in real time; the intelligent control module is used for controlling the operation of the camera, the electroencephalogram acquisition device and the electrocardiograph; the information processing module is used for carrying out preprocessing operation on the collected pilot physiological state information and the collected aircraft flight data; and the data fusion module is used for fusing the physiological state information of the pilot and the flight data parameters of the aircraft. The early warning assistance module is used for immediately sending out an early warning signal when an abnormality is found; and positioning information and rescue guidance are provided for a pilot under the emergency condition that the aircraft encounters danger. According to the current attention state and the task requirement of the pilot, the system can dynamically adjust the collection frequency and the collection position of the electroencephalogram collection device so as to improve the efficiency and the pertinence of data collection.

The invention discloses an online water quality analysis method and system based on a multispectral image analysis model, and belongs to the technical field of water quality analysis. And constructing a multispectral image analysis model comprising an analysis model, a classification model, a water body plankton coverage degree inversion model, a water body transparency inversion model, a water surface eutrophication inversion model and a key water quality parameter analysis model. And extracting water quality characteristics by using the analytical model, extracting a water surface line by using the classification model, then inputting current water quality data and the water surface line into an inversion model for water plankton coverage, water transparency and water surface eutrophication inversion and key water quality parameter analysis, and finally fusing an analysis result to output comprehensive water quality evaluation. According to the online water quality analysis method provided by the invention, efficient and real-time water quality monitoring and analysis can be realized, and a scientific basis is provided for water environment management.

The invention provides a pressure data compensation method based on a temperature sensor and an underground water level monitoring device, relates to the technical field of temperature compensation of pressure sensors, and aims to realize a pressure sensor capable of more reliably and efficiently coping with extremely cold weather. Real-time temperature data and real-time pressure data are obtained through a temperature sensor and a pressure sensor respectively; based on the fluctuation range coefficient and the real-time temperature data, obtaining the range of the corrected temperature; the compensated pressure range is obtained through the corrected temperature range and the real-time pressure data; and selecting an optimal pressure value from the compensated pressure range as a final compensated pressure value. The method has the advantage that the data detection accuracy of the pressure sensor in the extremely cold environment is improved.

The present invention discloses a testing device for the thermal effect of an optical element under the action of a continuous laser, which relates to the field of laser technology and includes a continuous laser alignment system, a sample temperature testing system, a wavefront phase testing system, a beam quality testing system, and a computer. The continuous laser alignment system receives a high-power laser beam emitted by a continuous laser emitting device and outputs a test laser. The test laser generates reflected light and transmitted light through the sample temperature testing system, and the reflected light and the transmitted light enter the wavefront phase testing system or the beam quality testing system respectively. The present invention adopts a testing device for the thermal effect of an optical element under the action of a continuous laser of the above structure, which can realize a variety of performance tests such as temperature rise test of an optical element under the action of a continuous laser, wavefront shape and phase distortion test, and beam quality test.

The invention provides a method and system for synchronously analyzing long-range blood pressure and electrocardio. The method comprises the steps that S1, signal values collected by different devices are preprocessed; s2, automatically identifying and extracting hidden features of the electrocardiosignal by using the trained deep learning model to obtain an analysis result of the electrocardiosignal; s3, various blood pressure parameters are calculated according to the blood pressure signals, and analysis results of the blood pressure signals are obtained; and S4, synchronously outputting an analysis result of the electrocardiosignal and an analysis result of the blood pressure signal. The blood pressure and electrocardiosignals collected by different devices are resampled to the sampling points with the same number, so that the consistency of the signal length is ensured, and the data processing flow is simplified; by adopting the structure of logical judgment and the deep neural network, the problem of synchronous analysis of long-range blood pressure and electrocardio is solved, high-sensitivity detection of hypertension and arrhythmia diseases is realized, and the workload of doctors is reduced.

This application provides a model training method, apparatus, electronic device, computer-readable storage medium, and computer program product. The method includes: extracting audio feature sequences from raw audio data; determining a first phoneme feature sequence based on the raw audio data and text data; aligning the first phoneme feature sequence based on the audio feature sequence to obtain a second phoneme feature sequence; configuring an omission flag in the second phoneme feature sequence based on text data to obtain a third phoneme feature sequence; structurally associating the audio feature sequence and the third phoneme feature sequence to obtain structured data; storing the structured data in a target storage file; and upon receiving a training instruction, reading the structured data from the target storage file and updating the model parameters of the audio synthesis model based on the data in the structured data that does not have an omission flag configured, thereby obtaining the trained audio synthesis model. This application can improve the training efficiency and accuracy of audio synthesis models.

The invention relates to the technical field of molecular biology and environmental biology, and discloses a PCR chip, application thereof and a method for evaluating the toxic effect of petroleum pollutants on zebra fish. The PCR chip comprises 22 pairs of target gene primers, each pair of target gene primers comprises an upstream primer and a downstream primer, and the sequences of the 22 pairs of target gene primers are as shown in SEQ ID NO. 1 to SEQ ID NO. 44. According to the invention, 22 specific related genes are specifically selected according to a research result, and a PCR chip for researching the toxic effect of the heavy metal pollutants on the zebra fish is integrated, so that chip customization based on the heavy metal pollutants is realized; the operation method of the PCR chip is mature and simple, a large amount of toxicity data can be obtained at a time, the toxic effect mechanism of the heavy metal pollutants on the zebra fish embryos can be researched more comprehensively and in detail, and data support is provided for deeper research on the toxic mechanism of the heavy metal pollutants.

The invention discloses a TDI camera-based product detection method and system, and a medium. The method comprises the following steps: installing a line light source; the light intensity of the line light source is controlled to be in periodical light and shade stroboflash according to stripe distribution, so that stripe images meeting the phase shift method under the RGB three channels are obtained; analyzing stripe images under three channels of RGB, and calculating and obtaining original height data of all pixel positions under each channel of RGB based on phase deflection; traversing the original height data of all pixel positions so as to obtain final height data of the current pixel position through weighted averaging according to RGB channel weights corresponding to the current pixel position; according to the method, the TDI true color camera is used for collecting the three-channel fringe images, channel crosstalk and response inconsistent errors are restrained through a self-adaptive weighted average mechanism, high-speed measurement is guaranteed, meanwhile, the reconstruction precision and robustness of phase deflection are remarkably improved, and false data introduced by interpolation are avoided.

This invention provides a force sensor comprising an annular housing, a top cover and a base respectively fixed to one end of the housing, a loading platform fixed to the top cover near the base and spaced apart from the housing and the base, at least three force-measuring beam assemblies spaced apart from each other around the periphery of the loading platform, and a first sensor device and a second sensor device disposed on each force-measuring beam assembly. Each force-measuring beam assembly includes a horizontal force-measuring beam fixed to the periphery of the loading platform and a vertical force-measuring beam fixed to the loading platform near the base. The horizontal and vertical force-measuring beams in each force-measuring beam assembly are perpendicular to each other and located in the same plane. All force-measuring beam assemblies are rotationally symmetrically distributed. The force sensor of this invention can improve its decoupling effect and simplify data processing during measurement.

The present invention discloses a backpack comfort detection device and method, including adjusting the distribution positions of multiple pressure sensors according to the appearance characteristics of the subject, making the pressure test area correspond to the corresponding body part, and gradually loading and reloading the backpack during the subject's activities, continuously testing and collecting the pressure value of the backpack comfort detection device, respectively calculating the pressure peak and average value of each area, as well as the distribution and change trend, calculating the ratio of the backpack's pressure on the waist and back to the shoulder pressure, and obtaining the backpack comfort evaluation result. The present invention realizes the detection of the pressure tolerance of the straps through the cooperation between the fixing mechanism and the detection mechanism, thereby obtaining a real and effective measurement structure, which provides a certain reference value for users to choose different backpacks.

The invention discloses a double-layer sampling medical image pre-training method and system based on mixed distribution, which combine a center cutting strategy based on Gaussian distribution and a mask selection strategy based on local gradient direction distribution and are used for improving the precision of medical image pre-training and segmentation. According to the Gaussian distribution center cutting strategy, cutting is carried out by using a reference center point conforming to Gaussian distribution, so that a cutting area is more concentrated on a main part of an image; and a mask selection strategy based on local gradient direction distribution effectively selects a foreground part with a large amount of information in the medical image by capturing shape features of the image, so that the understanding and analysis capability of the model on key features of the image in a mask reconstruction process is improved. Experimental results show that the method of the invention significantly improves the precision and reliability of medical image segmentation.

The invention discloses an unregistered check-in condition monitoring method and system. The monitoring method comprises the following steps: acquiring trampling data by at least adopting an array type pressure-sensitive capacitance sensor arranged in a ground mat at a room doorway, and extracting behavior characteristics; and when the newly added behavior features exceeding the registered feature range are identified, determining that the non-registered check-in condition exists. A regionalized monitoring mode is adopted, only treading data of a local area needs to be monitored, comprehensive laying is not needed, basic behavior characteristics of registered personnel are mainly recorded, unregistered personnel are screened out, abnormal conditions are recognized, data processing is simplified, dependence on a network is reduced, and system stability is improved; meanwhile, the problem of privacy leakage caused by comprehensive monitoring of behavior characteristics is also avoided; besides, the regional distributed pressure-sensitive capacitor is adopted to monitor biological information, obtained data is high in reliability and anti-interference, real situations can be accurately fed back, precision and resolution are high, and accuracy and stability of system operation are ensured.

An embodiment of the present application provides a method and device for sending data information, a storage medium, and an electronic device, wherein the method includes: during the process of operating system startup, obtaining a target processor that communicates with the operating system, wherein the target processor includes N levels of processors connected in sequence, N is an integer greater than 1, and the target processor is used to implement step-by-step processing of data information; according to the category of the data information and the processing rules corresponding to the target processor, the data information is sent to the target processor step by step, wherein the processing rules are used to indicate the category of the data information to be processed by the target processor, and each time the data information is sent, the messages to be sent are filtered according to the processing rules of the lower-level processor as the recipient, thereby solving the problem in the related art that the operating system may receive a large number of irrelevant messages, resulting in a waste of operating system resources.

The application discloses a network communication method and device, electronic equipment and medium, and relates to the technical field of computers. The method is applied to a first core in a heterogeneous multi-core processor. The heterogeneous multi-core processor further comprises a network controller connected with the first core. The method comprises the following steps: in the case that the network controller receives first network data, the first network data is parsed to obtain a network port corresponding to the first network data; based on the network port, a target core corresponding to the first network data in the heterogeneous multi-core processor is determined; in the case that the target core is a second core, the first network data is stored in a preset shared memory corresponding to the second core, and a first interrupt signal is generated. Through the application, each core in the heterogeneous multi-core processor can communicate with the outside through one network controller.

The invention provides a surface water drop collection coefficient measurement test piece and method for an icing wind tunnel test, and relates to the technical field of airplane icing wind tunnel tests.The surface water drop collection coefficient measurement test piece comprises a to-be-measured test piece model, a groove is formed in the surface of the to-be-measured test piece model, and a plurality of partition plates are arranged in the groove at intervals to divide the groove into a plurality of strip-shaped grooves; the strip-shaped groove is filled with water absorption sponge, the appearance of the water absorption sponge is matched with the inner structure of the strip-shaped groove, the water absorption sponge is completely embedded into the strip-shaped groove, and the upper surface of the water absorption sponge is flush with a groove opening of the strip-shaped groove. The depth of the groove is greater than the height of the partition plate; the to-be-tested test piece model further comprises a surface skin, the surface skin covers a notch of the groove and is smoothly connected with the surfaces, on the two sides of the notch, of the to-be-tested test piece model, and a plurality of water inlet holes are formed in the surface skin in an array arrangement mode. The invention can simply, quickly and accurately measure the water drop collection coefficient on the surface of the test piece.

The invention relates to the technical field of intelligent monitoring and fault diagnosis, and discloses a motor bearing operation state detection method and system. The method comprises the following steps: acquiring bearing operation data in real time through a sensor arranged on a motor, carrying out data preprocessing, constructing a bearing state detection model by adopting a method of combining a convolutional neural network and a long-short term memory network, inputting the preprocessed real-time data into the model, outputting an operation state detection result, and triggering an early warning mechanism according to the result. The system comprises a data acquisition module, a data preprocessing module, a model training module, a state detection module and an early warning output module. According to the invention, the data processing flow is simplified, the accuracy and the efficiency are improved, the operation state of the bearing can be accurately judged, a perfect early warning mechanism is designed, the motor shutdown accident is effectively avoided, the stability and the safety of a production line are improved, and the method has a wide application prospect.

A kind of deep sea high-precision high-pressure temperature control triaxial test device, including pressure chamber for placing soil sample, confining pressure loading mechanism and counter pressure loading mechanism, the confining pressure loading mechanism is used to apply pressure to the soil sample in the pressure chamber, the counter pressure loading mechanism is used to inject water into the soil sample pore in the pressure chamber, the pressure range of the confining pressure and pore pressure that soil sample in the pressure chamber is subjected to is 20-60MPa, the pressure chamber is connected with confining pressure pipeline and counter pressure pipeline, the pressure difference between the confining pressure pipeline and counter pressure pipeline is the effective stress of soil.The beneficial effects of the present application are: by measuring the pressure difference between confining pressure and counter pressure, the effective stress of soil is directly obtained, the traditional way of measuring confining pressure and pore pressure respectively and then calculating effective stress by formula is abandoned, thereby eliminating the error superposition problem caused by large-range sensor measurement respectively.

This invention relates to the field of ground testing technology for spacecraft attitude control systems, specifically providing a ground testing method for the accuracy of a multi-level composite attitude control system. First, a fully physical simulation ground testing platform is constructed, including an on-orbit environment simulation system and a multi-level composite attitude control simulation system. Two reference calibration devices are built using a calibrated dual-axis photoelectric autocollimator, and two measurement reference units are constructed using the dual-axis photoelectric autocollimator and a multifaceted prism. Based on a cubic mirror, the calibrated dual-axis photoelectric autocollimator, and the dual-axis photoelectric autocollimator, zero-position reference calibration and angle calibration are performed on the multi-level composite attitude control simulation system. After calibration, the multi-level composite attitude control simulation system is controlled to move from the initial position to the final position, and angle information is collected through the two measurement reference units. The attitude control accuracy is calculated based on the angle information. This invention realizes ground testing of a multi-level composite attitude control system based on fully physical simulation.

The invention provides a gene expression profile bi-clustering method based on a swarm intelligence algorithm, and belongs to the technical field of gene expression, and the method comprises the following steps: constructing an index matrix for a gene expression data matrix, obtaining a bi-clustering seed, initializing a population, taking the bi-clustering seed as a first population individual, and constructing a second population individual; adding the first population individuals into a second population for population expansion to obtain two population individuals, evaluating the first population individuals by using a fitness function, and evaluating a plurality of individuals which contribute to the second population to the greatest extent by the individuals in the first population until a preset maximum number of evolution times is reached; and selecting an optimal bi-cluster from the second population. The index matrix is constructed for the gene expression data matrix, so that later data processing is simpler and higher in efficiency, meanwhile, data values of each gene under each condition can be searched by using the swarm intelligence algorithm, and therefore, the search range is wide, and important biological information is not easy to miss.

The present invention is applicable to the field of image recognition, and discloses a pointer instrument recognition and reading method, comprising: performing target detection on an image to be read, cropping the image to be read according to the detection result, and obtaining a pointer instrument area image; performing semantic segmentation on the pointer instrument area image, and obtaining a multi-channel mask of a pointer and a scale in the pointer instrument area image; performing data conversion on the multi-channel mask, and obtaining a corresponding two-dimensional rectangular label map; obtaining the height and width of the two-dimensional rectangular label map, and creating a first zero array and a second zero array, the first zero array being used to store a pointer position, and the second zero array being used to store scale information; traversing each pixel in the two-dimensional rectangular label map, and obtaining a pointer array containing a pointer position and a scale array containing scale information; determining the scale position, the pointer position, and the scale position pointed to by the pointer based on the pointer array and the scale array, and performing reading; the method can improve the reading recognition speed and recognition accuracy.

The application discloses a human motion recognition and detection method, which comprises the following steps: collecting and amplifying a thermal release infrared signal at a first sampling frequency to obtain a thermal release infrared amplified signal; recording the thermal release infrared amplified signal as a sample; collecting and saving all samples in a first sampling period, and judging whether a detection target is biological motion according to the samples; if the detection target is biological motion, recording all saved samples as biological motion samples; obtaining a peak value of the biological motion samples in a first half of the sampling period, and performing voltage analysis on the peak value of the biological motion samples; and if the peak value of the biological motion samples is greater than or equal to a second voltage threshold, judging that the detection target is human motion. A PIR detector is also provided. The above method can exclude the false triggering of domestic pets in gentle motion, and avoid misjudgment in the above case.

The invention provides a pipeline defect identification sensor, device and method wherein the pipeline defect identification sensor comprises a magnet yoke, a high-frequency alternating current coil, a direct current coil and an induction coil; the magnet yoke comprises a cross beam and a side arm, and the cross beam is arranged on the side arm to form an open end; the high-frequency alternating-current coil is sleeved on a cross beam of the magnet yoke so as to apply sine alternating-current excitation and generate a detection magnetic field; the direct-current coil is sleeved on the side arm of the magnet yoke to apply direct-current excitation, so that the detection magnetic field is saturated or nearly saturated; the open end of the magnet yoke is located above the pipeline, so that the pipeline generates an eddy current field based on the saturated or near-saturated detection magnetic field; and the induction coil is arranged between the magnet yoke and the pipeline to induce an eddy current field generated by the pipeline to obtain an induction signal so as to detect pipeline defects.

The invention provides a circuit and method for a robot controller to set current and voltage of a welding machine, and the circuit for the robot controller to set the current and voltage of the welding machine comprises a main control module which is used for outputting a PWM signal; the input end of the optocoupler isolation module is connected with the output end of the main control module, and the optocoupler isolation module is used for isolating the PWM signals output by the optocoupler isolation module; the input end of the signal conversion module is connected with the output end of the optocoupler isolation module, and the signal conversion module is used for converting the PWM signal output by the optocoupler isolation module into an analog signal; the input end of the operational amplification module is connected with the output end of the signal conversion module, analog signals output by the signal conversion module enter the operational amplification module in a differential input mode, and the operational amplification module conducts buffering isolation and signal conditioning on the analog signals.

The invention discloses an optical fiber dissolved oxygen probe capable of eliminating cross influence of temperature and pressure and application of the optical fiber dissolved oxygen probe. Comprising a cylinder, an optical fiber bundle, a matrix and an oxygen sensitive film, two completely independent spaces are arranged in the cylinder body, and the two spaces are divided into a detection channel and a reference channel; the optical fiber bundle is composed of seven optical fibers, and the central optical fiber is an input optical fiber connected with the laser machine and used for emitting a light source; six surrounding optical fibers are output optical fibers which are connected with a photoelectric detector and are used for receiving fluorescent light emitted by the oxygen sensitive film through excitation; the invention has the technical effects and advantages that compared with the prior art, the scheme adopts a completely passive structure for design, the size of the probe can be reduced, and as a temperature sensor or cooling equipment needs to be integrated with the probe in the prior art, the size of the probe is inevitably increased, and the cost is reduced. The dissolved oxygen cannot be detected in some narrow spaces; and a passive structural design is adopted, so that faults such as electromagnetic interference and burning of components due to water leakage can be prevented.

The utility model relates to detection device technical field discloses a detection device for measuring capacitor extension quantity, including work table, horizontal electric sliding table, longitudinal electric sliding table, object table, mount, laser displacement sensor and controller, horizontal electric sliding table is located on work table, longitudinal electric sliding table is located on horizontal electric sliding table, horizontal electric sliding table can drive longitudinal electric sliding table along horizontal movement, object table is used for fixedly placing thick rubber plate, object table is located on longitudinal electric sliding table, longitudinal electric sliding table can drive object table along horizontal movement, mount is fixed on work table, the mount is equipped with the horizontal pole of being located above object table, laser displacement sensor is installed on the horizontal pole, and the detection end of laser displacement sensor sets up towards down, and the controller is electrically connected with laser displacement sensor. The utility model is simple to operate, and the measurement efficiency and precision are high.

The invention discloses a deep foundation pit sensor acquisition node and an upper computer display system, and belongs to the technical field of building deep foundation pit data acquisition. According to the technical scheme, a ZYNQ chip used for data acquisition, data processing and communication control is respectively connected with a plurality of types of sensors; the storage card used for storing data is connected with the ZYNQ chip; the upper computer is connected with the ZYNQ chip through wireless transmission; the ZYNQ chip comprises a PS module and a PL module. The PS module is connected with a USB module, a memory card and a sensor. The PL module is respectively connected with the RS485 circuit module and the wireless transmission module, the rest PL interfaces are divided into three as a group, and conversion between an IIC protocol and a UART protocol is realized according to comments of the selected interfaces. The system has the beneficial effects that the system has a unified data acquisition and processing platform, flexible sensor access and management, efficient data transmission and storage, convenient data integration and display, reduced monitoring cost, improved monitoring real-time performance and accuracy and the like.

The application discloses a kind of high-voltage switchgear contact wear amount multi-source state non-contact detection method and system, it is related to switchgear contact detection technical field, method includes: in the position corresponding to the three-phase contact of switchgear respectively arrangement non-contact multi-source sensor, respectively the opening and closing signal and operating signal of three-phase contact are collected, generate three-phase multi-source original data;Multi-source original data is preprocessed and feature extraction, generate three-phase multi-source feature data;The single-phase multi-source feature deviation time series of the application is calculated out by acquisition, train out single-phase deviation mode baseline model, the effect that effectively locates the effect of deteriorating phase when single-phase asymmetry deterioration occurs;The mean time series of three-phase multi-source features of the application is calculated out by acquisition, train out mean dynamic baseline model, the effect that effectively detects when three-phase contact occurs synchronous deterioration.

The invention relates to a parameterized modeling method based on 3DTiles, belongs to the technical field of geographic space three-dimensional data visualization, and solves the problems of low loading efficiency, complex and time-consuming slicing process and polar region calculation errors during efficient generation and rendering of three-dimensional geographic space data in the prior art. The method comprises the following steps: acquiring parameterized data of a to-be-modeled object; wherein the parameterized data comprises the shape, the geometrical characteristic parameter and the geographic position of the object; obtaining an LOD hierarchy range of the to-be-modeled object based on the parameterized data, and constructing a to-be-modeled object model and a spatial index code of each hierarchy in the LOD hierarchy range; wherein the LOD hierarchy range comprises a maximum LOD hierarchy to a minimum LOD hierarchy; determining the maximum LOD hierarchy and the minimum LOD hierarchy based on a uniform global octree spatial index method suitable for a spherical surface; and based on the to-be-modeled object model of each level and the spatial index code, constructing a spatial index file, and loading and displaying a modeled object by using a Cesium rendering engine.

The application discloses an online water quality analysis method and system based on a multispectral image analysis model, and belongs to the technical field of water quality analysis, and comprises the following steps: collecting a multispectral image of a target water body and performing pretreatment, and constructing a multispectral image analysis model comprising an analysis model, a classification model, a water body plankton coverage inversion model, a water body transparency inversion model, a water surface eutrophication inversion model and a key water quality parameter analysis model. The analysis model is used to extract water quality characteristics, the classification model is used to extract a water surface line, and then current water quality data and the water surface line are input into the inversion model to perform water body plankton coverage, water body transparency and water surface eutrophication inversion and key water quality parameter analysis, and finally, analysis results are fused to output comprehensive water quality evaluation. The online water quality analysis method provided by the application can realize efficient and real-time water quality monitoring and analysis, and provides a scientific basis for water environment management.

The invention provides an RFID tag array authentication method based on phase correlation, and the method comprises a model training stage and an array authentication stage, the model training stage comprises the steps: collecting and processing a phase sequence received from a conventional tag array, and selecting an optimal tag combination of each tag in the conventional tag array; calculating a conventional phase difference sequence according to the optimal tag combination, and constructing a phase difference sequence of the attacked tag array according to a replacement mechanism; a neural network is designed, a conventional phase difference sequence and a phase difference sequence of an attacked tag array are used as input of the neural network for training, and an array authentication stage: a phase sequence of a to-be-authenticated tag array is collected and processed, a to-be-authenticated phase difference sequence is calculated according to the optimal tag combination and input into the neural network, and an authentication result is obtained. According to the method, clone attack, analog signal attack and deployment tampering attack can be defended, the authentication precision is high, the deployment cost is low, and the security of sensing based on the tag array is improved.