11 results about "Reference window" patented technology

The application discloses a kind of hysteresis reference window sliding window adaptive threshold surge detection system and method, belong to aero-engine surge detection field.The method includes: real-time acquisition aero-engine pressure sensor output analog voltage signal, and carry out partial pressure, filtering and analog-digital conversion, obtain discrete sampling sequence;With sliding window intercept analysis window and carry out linear fitting, calculate its slope and residual standard deviation;Established by historical analysis window eigenvalue, with current window maintains hysteresis distance reference window;Based on the statistics of eigenvalue sequence in reference window, dynamically calculate adaptive threshold;By comparing current window eigenvalue with threshold value, and when the eigenvalue of continuous multiple windows exceeds threshold value, determine surge.The detection scheme provided by the application significantly reduces the amount of calculation through local window processing and dynamic threshold adjustment, solves the problem that existing algorithms are difficult to be deployed in real time in embedded hardware, and improves the detection accuracy and working condition adaptability.

The present disclosure relates to an infrared moisture meter with a rapid calibration device and a calibration and automatic calibration method thereof, and belongs to the technical field of moisture detection. The infrared moisture meter with the rapid calibration device comprises a main control unit, a motor, a light source, a chopper, a plano-convex lens, a measurement probe, a punching mirror, a measurement window, a reference probe, a rapid calibration device assembly, a mirror, a reference window, a first condenser, a second condenser and a first quick connector. The rapid calibration device assembly comprises a structural shell, a ventilation hole, a metal container, a heating wire, a weight sensor and a second quick connector. The technical solution of the present disclosure improves the accuracy of equipment detection and the applicability of different materials when the equipment is operated for a long time or the material to be detected is changed. The present disclosure solves the complex problem of on-site calibration of existing infrared online moisture meters, improves the calibration efficiency of the equipment and greatly reduces the maintenance cost of the equipment.

The present application relates to the technical field of biomedical image processing, and discloses a multi-scene video intelligent clipping method and system, comprising the following steps: obtaining time-synchronized original microscopic video stream and structured experimental operation log; for each operation event, constructing an event neighborhood reference window in the original microscopic video stream and performing spatial registration to generate a locally video segment after spatial correction; generating a spatial attention weight mask according to the operation space coordinate vector, calculating a structure disturbance response value sequence of each frame of the local video segment in combination with a structural similarity index, and obtaining a phase significance score sequence through smoothing filtering; generating an original candidate segment based on the discrete first-order derivative of the phase significance score sequence and baseline period statistical characteristics; according to the preset priority weight of the operation action type label corresponding to the candidate segment, performing cutting and transition processing on the time overlapping segment, and outputting an abstract video file; and generating a metadata index file associated with the abstract video file.

The application relates to a multi-camera asynchronous acquisition VIO implementation method, comprising the following steps: acquiring the timestamps of multiple images corresponding to a current frame; wherein the multiple images are images captured by multiple cameras within a same frame time window; determining the timestamp of a reference window corresponding to the current frame according to the timestamps of the multiple images; calculating the pose compensation amount between the timestamp of each image and the reference window based on inertial measurement data and a state vector; respectively constructing inertial measurement residuals and visual measurement residuals corresponding to each image based on the pose compensation amount; and iteratively optimizing and solving the inertial measurement residuals and the visual measurement residuals based on a nonlinear optimization method. The scheme of the application models the inconsistent difference amount of the timestamps of the pictures taken by different cameras in the VIO system, so that when the different cameras in the VIO system do not take pictures at the same time, higher precision and robustness can be achieved; the scheme can make the VIO system have higher detection precision and higher efficiency for a rotating target.

This invention discloses a method and related products for detecting GNSS step-type deception interference, belonging to the field of satellite navigation signal processing technology. The GNSS step-type deception interference detection method provided by this invention constructs a signal power sample set through sliding window segmentation processing and builds a feature sequence to characterize the statistical properties of the signal power samples. It utilizes a long short-term memory network model for time-series modeling, effectively capturing the temporal dynamic characteristics of the signal power samples. By calculating and fusing the distribution difference measure between the current detection window and the historical reference window, a comprehensive distribution drift index is constructed, which can sensitively and accurately reflect the drift of the signal power sample distribution. Based on the comprehensive distribution drift index, a dynamic threshold is constructed for decision-making, enabling the detection standard to adapt to environmental changes, thereby improving the reliability and accuracy of GNSS step-type deception interference detection under dynamic environments and varying environmental noise characteristics.

The application provides a risk prediction window selection method and device based on multi-target cooperative evaluation and electronic equipment, relates to the technical field of machine learning and data modeling, and comprises the following steps: obtaining time sequence historical data of a target object, and dividing the time sequence historical data into a training subset and a test subset used for simulating future prediction according to time sequence; a candidate prediction window set containing at least two different time lengths is set, for each window length in the set, a corresponding binary classification prediction task label is defined based on the length, and a corresponding prediction model is trained by using the training subset; taking the model performance corresponding to the longest reference window in the candidate window as a reference, the optimal window length is selected from the candidate window set according to a preset selection criterion. The application ensures that the selected window length directly serves the accuracy target of the final prediction model, so that the shortest effective window is automatically found under the premise of ensuring that the prediction performance of the long window reference model is equivalent.

The application is suitable for the field of radar technology, and provides a method and device for filtering out a trailing point of a laser point cloud, a terminal device and a storage medium. The method comprises the following steps: acquiring laser point cloud data to be processed collected by a laser radar; determining at least one adjacent point and at least one reference window of a measured point in a horizontal direction; determining a position feature between the measured point and each adjacent point and each reference window; determining whether the measured point is a trailing point according to the position feature between the measured point and each adjacent point and each reference window; and removing the measured point from the laser point cloud data in the case that the measured point is a trailing point. Thus, the trailing point in the laser point cloud is effectively identified and filtered out, so that the influence of the trailing point on the identification accuracy of a point cloud backend algorithm is eliminated, and the accuracy of a ranging, target identification and other backend algorithm is improved.

This application belongs to the field of ground radar digital signal processing technology, and provides a ground target detection method, system, and electronic device to enhance clutter edge performance. The detection method includes: pre-setting that at most one clutter edge exists within a reference window of the radar echo data samples; determining the clutter edge position using clutter edge position estimates and selecting a retained sample set; calculating weighting coefficients by combining distribution parameter estimates and standardized residuals; constructing an objective function using the negative likelihood estimation function of the samples; solving for outlier vectors; constructing an index function based on the outlier vectors to filter outliers and obtain the zero norm of the index function; calculating the background clutter power estimate of the samples based on the outlier vector index function and the zero norm of the index function to obtain the corresponding detection threshold; and determining the target based on the detection threshold. This application can effectively avoid the target masking effect caused by strong clutter, and improves false alarm control capability while enhancing clutter edge detection performance.

This invention discloses a rapid stability determination method for modified asphalt based on near-infrared spectral characteristic parameters, belonging to the field of optical detection technology. The method includes processing the effective reflectance spectrum using a standard normal variable and performing Savitzky-Golay differentiation; integrating the effective reflectance spectrum within an oxidation-sensitive window, a segregation-sensitive window, and a reference window to obtain the three-window integral, and constructing an oxidation index and a segregation index; centering the segregation index and removing components linearly correlated with the oxidation index to obtain a segregation orthogonal index; using the oxidation index for applicable domain gate determination, and comparing the absolute value of the segregation orthogonal index with a stability threshold when the gate is passed, outputting a stable or unstable conclusion. This invention suppresses the aliasing effect of oxidation or aging signals on segregation determination through the segregation orthogonal index, improving the accuracy and consistency of determination; and reduces the risk of misjudgment caused by threshold drift by pre-intercepting and verifying samples exceeding the calibrated oxidation level through applicable domain gate determination.