19results about How to "Avoid noise effects" patented technology

The invention relates to the technical field of new energy grid-connected converters, in particular to a disturbance amplitude design method and device for broadband frequency coupling characteristic measurement, and the method comprises the steps: obtaining the noise amplitude distribution data and spectrum characteristic data of a measured grid-connected converter; determining measurement signal values under different frequencies according to the noise amplitude distribution data and the spectral characteristic data, and estimating a signal-to-noise ratio index of broadband frequency coupling characteristic measurement according to the measurement signal values; determining a measurement error distribution range of the broadband frequency coupling characteristic according to the signal-to-noise ratio index, and determining a measurement precision evaluation result of the broadband frequency coupling characteristic according to the measurement error distribution range; and calculating the disturbance amplitude increase multiple of the broadband frequency coupling characteristic measurement according to the measurement precision evaluation result and the expected measurement error index, and designing the disturbance amplitude of the next broadband frequency coupling characteristic measurement based on the disturbance amplitude increase multiple. Therefore, the problems of poor measurement precision, low measurement efficiency and the like in the prior art are solved.

The invention relates to a welding seam gap measuring method, a medium and equipment, and the method comprises the steps: obtaining a workpiece contour point cloud of a to-be-welded workpiece, determining a welding seam region, traversing all points in the welding seam region, obtaining a plurality of similar points of a current point, and obtaining a plurality of chords corresponding to the current point according to all the similar points; and calculating the distance between each point in the welding line area and all corresponding chords, obtaining an accumulated point chord value of all points, obtaining an extreme point corresponding to the accumulated point chord value, taking the extreme point as an end point of the welding line gap, and obtaining a welding line gap value according to the distance between the welding line end points and the prior workpiece thickness. The problems that in the prior art, special-shaped welding seams cannot be recognized in real time, the welding seam recognition efficiency is low, and reliability is insufficient are solved.

The invention discloses an analog quantity detection system with a protection circuit, and relates to the analog quantity detection system with the protection circuit, which comprises a detection circuit connected with an analog signal through a wiring terminal, the protection circuit and an MCU (Microprogrammed Control Unit), compared with a detection system of a traditional operational amplifier, the instrument amplifier is adopted for detection, and the detection system has the advantages of being ultrahigh in input impedance, extremely good in CMRR, low in input offset, low in output impedance and capable of amplifying signals under common-mode voltage. The circuit also has the functions of high common-mode rejection ratio, low noise, low linear error, low offset voltage and offset voltage drift, and low input bias current and offset current error, and by arranging an AD input clamping protection circuit, when the system has a fault and the voltage suddenly rises, the clamping function is realized by using the unilateral conductivity of a diode, and the phenomenon that the voltage of a sampling port is larger than 5V is prevented. And the ADC port of the MCU is damaged.

The invention relates to the technical field of high-voltage cable online monitoring, in particular to a partial discharge positioning method and system based on multi-point synchronous distributed detection and a medium. The method comprises the following steps: firstly, initially determining the position of a partial discharge source by using a multi-point synchronous distributed sensor, and then providing a high-precision partial discharge signal positioning method based on a phase difference algorithm. According to the partial discharge signal time delay estimation based on the phase difference, the time difference of arrival of the partial discharge signals is estimated by calculating the phase difference of the cross-correlation density functions of the two partial discharge signals from the same source in the frequency domain, so that the estimation of the time of arrival of the partial discharge signals and the influence of noise in the environment are effectively avoided; the method effectively solves the problems of uncertainty of partial discharge signal wave velocity and low positioning precision, and can still have high positioning precision even in a low signal-to-noise ratio environment.

The embodiment of the invention is suitable for the technical field of medical robots, and provides a feedforward control method and device of a medical robot, the medical robot and a medium, and the method comprises the steps: obtaining a first error time sequence sequence at a current moment; the first error time sequence sequence comprises a first error between an actual control quantity and an expected control quantity of the medical robot at each moment; predicting a second error between an actual controller quantity and an expected control quantity of the medical robot at a future moment according to the first error time sequence; determining a predicted feedforward control quantity of the medical robot at a future moment based on the second error; and controlling the movement of the medical robot by adopting the predicted feedforward control quantity. By adopting the method, the control precision of the medical robot can be improved, and the time delay of the medical robot in the master-slave control process is reduced.

The invention provides an infrared image edge detection method based on three-dimensional laser point cloud data guidance, and belongs to the technical field of mobile robot autonomous environment perception. According to the method, edge points extracted from three-dimensional point cloud data are projected to an infrared image, edge detection is performed on the infrared image based on a DoG edge detection operator, and region search is performed by taking a pixel point obtained by projection as a starting point, so that the number of edge point detection of the infrared image is increased. According to the method, three-dimensional laser edge point information detected by a laser radar is used as priori, selection of a starting point of a region search part in an infrared image edge detection process is guided, the influence of infrared image noise is avoided, and the infrared image edge detection effect is enhanced; meanwhile, the method has the advantages of being few in process and small in calculation amount, and the real-time detection effect can be achieved on the industrial personal computer.

The invention discloses a current sampling method and device, equipment and a medium, and the method comprises the steps: outputting an interruption control signal and an MOS tube driving signal, and enabling the interruption control signal and the MOS tube driving signal to have a frequency multiplication relation; when a first counter corresponding to the interrupt control signal reaches a first pre-designed value, inductive current is sampled, the inductive current is formed when the MOS tube driving signal drives the opening and closing state of the MOS tube, and when the first counter reaches the first pre-designed value, the sampling of the inductive current is carried out, and when the first counter reaches the second pre-designed value, the sampling of the inductive current is carried out; the inductive current is located at the middle point of the rising edge or the falling edge. Therefore, the stability of current sampling can be improved, and more stable control can be realized.

The application provides a repositioning method, a storage medium, an electronic device and a program product, and relates to the technical field of positioning. The repositioning method comprises the following steps: if the pose of a movable device is lost, the first pose of each particle corresponding to the movable device and the pose corresponding to each key frame are determined; the second pose of each particle under a plurality of movement distances of the movable device is calculated based on the first pose of each particle; each second pose of each particle is taken as a query point, and a target pose most adjacent to the second pose is searched from the pose corresponding to each key frame; a target particle is determined from the plurality of particles based on the target pose of each particle; and the repositioning result of the movable device is determined based on the target particle. The application avoids the influence of noise under a single movement distance, guarantees the optimality and stability of the target particle, and can more accurately estimate the pose of the movable device.

A touch screen is provided that prevents a display from being affected by noise and reduces moiré. An embodiment of the touch screen comprises: an emission layer formed on a substrate; a barrier layer sealing the emission layer; an adhesive layer having a given thickness; and a passivation layer disposed on the barrier layer through the adhesive layer, the passivation layer having an emission electrode and a receiving electrode of a touch screen sensor; wherein the distance X between the end of the emission layer and the end of the emission electrode or the receiving electrode on a horizontal plane parallel to the display surface, the width L of the emission electrode and the receiving electrode, and the distance Y between the emission layer and the receiving electrode in a direction perpendicular to the display surface satisfy 5L≤Y≤X.

This invention discloses a method for simultaneous measurement of atmospheric temperature and pressure based on Rayleigh-Brillouin scattering spectroscopy, belonging to the field of lidar. The method includes: emitting a laser in the atmospheric environment to be measured and acquiring the scattered echo signal of the laser; fitting the Rayleigh-Brillouin scattering spectrum of the scattered echo signal in the atmospheric environment to be measured; extracting the overall linewidth Γ of the Rayleigh-Brillouin scattering spectrum; and calculating the number of molecular scattered photons N. s ; will N s Substituting G1 and Γ into the inversion model yields the synchronous measurement results of atmospheric temperature T and pressure p; where G1 represents the atmospheric temperature and the overall linewidth Γ and the number of molecular scattered photons N. s The relationship between pressure and overall linewidth Γ and the number of molecular scattered photons N is expressed as follows: s The relationship between Rayleigh and Brillouin scattering spectra and atmospheric temperature and pressure is fully explored in this invention, establishing a new inversion model that enables accurate and synchronous measurement of atmospheric temperature and pressure.

The application provides a kind of unattended station personnel invasion identification method and device, the method comprises: the picture to be detected is input to personnel invasion identification model, obtains the invasion identification result of personnel invasion identification model output;Wherein, personnel invasion identification model includes image denoising network, feature extraction network, occlusion perception attention network and invasion prediction network, image denoising network is used to denoising sample picture, based on occlusion perception attention network is used to apply sample picture feature, determine the correlation between the occluded human body area and the unoccluded human body area in sample picture.The image denoising network is used to denoise the picture, so as to avoid the noise influence brought by natural environment such as wind, frost, rain, snow and fog to data source.In addition, through the occlusion perception attention network, the problem that human body occlusion caused by the invasion personnel climbing wall affects the invasion personnel identification can be avoided.

The present invention discloses a pipe wall image defect detection method and device based on numerical analysis, the method comprising: obtaining an image of a pipe to be detected; preprocessing the image to obtain a grayscale image; constructing a pixel matrix matching the size of the grayscale image; the pixel matrix stores the pixel values ​​and coordinates of each pixel point in the grayscale image; by numerically analyzing the pixel matrix, detecting the pipe wall boundary coordinates of the pipe to be detected to obtain multiple sets of pipe wall boundary coordinates; determining a set of length values ​​according to each set of pipe wall boundary coordinates; a set of length values ​​includes: an inner diameter length value and an outer diameter length value; determining the defect detection result of the pipe to be detected based on multiple sets of length values ​​corresponding to multiple sets of pipe wall boundary coordinates. The present invention can improve the detection accuracy and detection speed.

The present invention relates to the field of medical information processing technology, and specifically to an electronic information quality control system for intelligent clinical nursing, comprising: a data acquisition module, used to obtain several types of nursing data for each patient. A data analysis module, used to obtain a first category of reference data; obtain a generalization interval of target data and a second category of target data for each patient according to the first category of reference data, and obtain a generalization interval of target data and a second category of target data for each patient again according to the second category of reference data; and abnormal data in the second category. A quality control module, used to judge the quality of target data of newly added patients according to the abnormal data in the second category and the generalization interval of abnormal data. The present invention timely and accurately judges the quality of target data of newly added patients, while further avoiding the influence of noise caused by individual differences among patients, and ultimately improves the quality of electronic information for clinical nursing.

The utility model provides a functional electrical stimulator open circuit protection circuit, which comprises an electrode slice J1 and a circuit body which are connected with each other, and the circuit body comprises a charging and discharging loop, a voltage division circuit, a diode D4, a reverse amplification circuit and a comparison circuit. The charging and discharging loop is connected with an electrode slice J1, the voltage division circuit is connected with the charging and discharging loop, one end of the diode D4 is connected with the voltage division circuit to filter positive voltage, the other end of the diode D4 is connected with the input end of the reverse amplification circuit, and the output end of the reverse amplification circuit is connected with the comparison circuit. The output end of the comparison circuit is used for outputting judgment information to the single-chip microcomputer. According to the embodiment, the charging and discharging loop is arranged to detect the state of the electrode plate at any time.

The invention relates to the technical field of data processing, in particular to a remote monitoring method and system for pressure vessel safety. The method comprises the following steps: acquiring a plurality of pressure values of a position point of a pressure vessel within a preset time period of a historical moment, and determining a pressure feature vector of the position point at the historical moment according to the plurality of pressure values; aiming at a key position point in the plurality of position points of the pressure container, determining a first position point and a second position point which are positioned on two sides of the key position point; determining a parameter value of the key position point at the historical moment according to the pressure feature vectors of the first position point and the second position point at the historical moment; according to the parameter values of the key position points at the historical moments, weighted average filtering is carried out on the pressure values of the key position points at the multiple historical moments to obtain a target pressure value, and remote monitoring is carried out on the key position points. According to the technical scheme, the pressure vessel can be monitored more accurately.

This application relates to the field of fuel pump fault diagnosis technology and proposes a CAN bus-based method for fault perception and diagnosis of aviation electric fuel pumps. The method includes: collecting the operating parameters and state characteristic parameters of the aviation electric fuel pump; decomposing the same operating parameters using a wavelet threshold denoising algorithm to obtain detail coefficient sequences of different wavelet decomposition layers; determining whether a fixed threshold method is used to obtain the wavelet threshold; if not, calculating the adjustment degree of the detail coefficients of the wavelet decomposition layer; combining the wavelet threshold determined by the fixed threshold method to obtain and reconstruct the detail adjustment coefficient sequence; obtaining the denoised operating parameters; using an anomaly detection algorithm to obtain the reconstructed state characteristic parameters; and using a pre-trained fault perception model to complete the fault diagnosis of the aviation electric fuel pump based on the denoised operating parameters and reconstructed state characteristic parameters for a preset duration. This application can improve the accuracy of aviation electric fuel pump fault diagnosis.

The invention relates to the field of image processing, in particular to a fracture image interactive segmentation method and system, and the method comprises the steps: obtaining a CT image gray-scale map and key points; dividing the grayscale image according to the key point position distribution and determining a key area; obtaining a separation parameter according to distribution conditions of pixel points greater than a gray threshold and less than the gray threshold in the key area under different gray levels; obtaining a difference parameter according to the difference between a pixel point greater than a gray threshold in different gray thresholds in the key area and a neighborhood pixel point; obtaining a distribution parameter by combining the position of the key point in the key area and the distance between the pixel points greater than a threshold value; obtaining an optimal segmentation threshold value of each key region in combination with the parameters; and finally, obtaining the optimal segmentation threshold of the non-key region by combining the optimal segmentation threshold of different key regions and the position relationship of the non-key region. According to the method, interactive segmentation is more accurate, operation is simpler, and the computing power cost is reduced.

This invention provides a method for predicting lithographic imaging contours and related products. The prediction method includes acquiring a target design layout; generating a target directed distance field map corresponding to the target design layout using a pre-trained prediction model, the target directed distance field map reflecting the directed distance of any point to the nearest lithographic imaging contour; and extracting the lithographic imaging contour from the target directed distance field map to obtain a target lithographic imaging contour map. This method can effectively avoid the influence of noise in measured lithographic imaging images, enabling the prediction model to accurately obtain the mapping relationship between the input design layout and the directed distance field map of the measured lithographic imaging image, resulting in a high-precision target lithographic imaging contour map.

The application discloses a kind of based on the dual hand reconstruction method of multi-scale color information and depth information fusion.Utilize dual-flow feature extraction model respectively to extract monocular RGB-D image multi-scale color feature, left and right hand corresponding center point feature and multi-scale depth feature;Then use pyramid type depth fusion network to fuse multi-scale color feature, left and right hand corresponding center point feature and multi-scale depth feature, obtain left and right hand corresponding global fusion feature;Finally, according to left and right hand corresponding global fusion feature, using GCN decoder generates dual hand grid in camera coordinate system.The application can fully fuse color information and depth information to reconstruct both hands, reduce the blur effect in RGB image and the noise in depth image, greatly improve the reconstruction accuracy, and enhance the robustness of model;Meanwhile, the application can accurately reconstruct three-dimensional hand grid with real depth and scale in camera space, overcome the limitation of relying on root node output.