10 results about "Standard distance" patented technology

The invention provides a guardrail region critical dimension detection method, which comprises a three-dimensional point cloud acquisition step, a profile positioning and extraction step and a width value acquisition step, and in the method, a three-dimensional point cloud of a guardrail region is generated through profile data acquired by a high-precision line laser sensor and corresponding mileage data, and then the three-dimensional point cloud is converted into a two-dimensional image; based on the two-dimensional image and the structural features of the guardrail, the starting point and the ending point of the guardrail are recognized, the mileage values of the guardrail are obtained, and then the mileage values of the preset detection positions can be obtained according to the mileage values of the starting point and the ending point of the guardrail and the preset standard distances between the starting point and the ending point of the guardrail and the preset detection positions. Therefore, the contour data of the predetermined detection position is extracted, and high-precision automatic detection of multiple key dimensions of the guardrail area is realized. According to the method, the two-dimensional image is used as an index to carry out positioning and contour data frame extraction, positioning is accurate, the calculation amount is small, and a result can be rapidly obtained on a track detection site.

The present invention discloses a mine environment monitoring method and system based on machine learning, and the method includes: data collection, data preprocessing, mine environment data balance, construction of a mine environment status assessment model and real-time monitoring of the mine environment. The present invention belongs to the field of environmental monitoring technology, and specifically refers to a mine environment monitoring method and system based on machine learning. The scheme designs weighted standard distance and exponential decay distance to obtain the total distance between data, screens out noise data, determines the number of data to be synthesized based on discreteness and nearest neighbor data, synthesizes new data based on discrete data sets and introduces random noise; designs local density and global density to obtain total density, calculates distance threshold based on minimum distance, calculates density threshold based on adjustment factor and total density, constructs candidate center data set, obtains cluster center data set according to total density and number of overlapping data, improves the quality of the entire assessment model, and is conducive to accurately assessing the state of the mine environment.

The invention discloses a shale content determination method and device based on seismic elastic parameters. The method comprises the following steps: determining a distance between a point to be estimated and a first template line in a longitudinal and transverse wave impedance two-dimensional coordinate system according to longitudinal and transverse wave impedance of the point to be estimated; according to the distance, the standard distance between the first template line and the second template line and the difference value between the shale content corresponding to the first template line and the shale content corresponding to the second template line, the shale content of the point to be estimated is determined in the mode that the distance and the shale content difference are equal in proportion, the first template line and the second template line are two parallel straight lines in a coordinate system, the shale content of each point on the first template line is the same, and the shale content of each point on the second template line is the same. According to the method, the shale content can be quantitatively calculated based on seismic elastic parameter inversion data (longitudinal wave impedance and transverse wave impedance), the operability is high, the precision is high, and the method can be better applied to production.

The invention discloses a box calibration and bottom surface distance measurement compensation method and system based on the technical field of measurement, and the compensation method comprises the following steps: selecting a placement position of a box as a standard position, and determining a reference surface standard distance measurement value and a bottom surface standard distance measurement value of the box at the standard position; collecting coordinate data of the reference surface of the to-be-detected box body, and recording the coordinate data as first coordinate data; collecting coordinate data of the bottom surface of the to-be-detected box body, and recording the coordinate data as second coordinate data; calculating a normal vector on the reference surface, and calculating a theoretical distance measurement value of the bottom surface of the to-be-measured box body in combination with the first coordinate data and the second coordinate data; and calculating a deviation value of the corresponding measuring point according to the theoretical distance measurement value of the bottom surface, wherein the deviation value is used for calculating the profile tolerance and the flatness of the to-be-measured box body. According to the calibration and compensation method provided by the invention, non-relative measurement is realized, and the measurement precision is improved; the device can be applied to online detection, is combined with non-contact measurement, is high in efficiency, and does not affect the production takt of a production line.

The invention relates to the technical field of flatness measurement, in particular to a flatness detection device and method for an external wall thermal insulation board. The method comprises the following steps: acquiring a measurement distance and a coordinate characteristic value; a fluctuation index is obtained based on the measurement distance, fluctuation determination of fitting of the measurement distance and second-order fitting deviation of the measurement distance and the coordinate characteristic value; determining a standard distance through the measurement distance, and obtaining an anti-interference degradation index based on the difference between the measurement distance and the standard distance and the energy ratio after the fluctuation degree wavelet basis change; constructing a nonlinear compensation function through the anti-interference degradation index to calculate a compensation amount, and compensating and correcting the measurement distance in combination with the direction of the residual error of the measurement distance to obtain a corrected measurement distance; and detecting the flatness based on the corrected measurement distance. According to the invention, the flatness detection precision is improved.

The present application discloses a fall area detection method, device, equipment and storage medium, which are applied to a robot equipped with an anti-fall device installed according to preset installation parameters, including: obtaining a corresponding target data set based on data collected by the anti-fall device; calculating the detection distance corresponding to each target data in the target data set and the preset standard distance to obtain a corresponding calculation result; wherein the preset standard distance is the maximum distance corresponding to when the detection area of the anti-fall device is a non-fall area; judging whether the calculation result is greater than a preset distance threshold, if the calculation result is greater than the preset distance threshold, filtering out the target data corresponding to the calculation result from the target data set, and determining the area corresponding to the corresponding target data as the fall area. The present application determines the fall area based on the detection distance, the preset standard distance and the preset distance threshold, and can quickly detect the fall area through a single frame of data.

The application relates to the technical field of flatness measurement, in particular to a flatness detection device and method for external wall thermal insulation boards. The method comprises the following steps: acquiring a measurement distance and a coordinate characteristic value; determining a fluctuation index based on the measurement distance, the fitting fluctuation of the measurement distance and the second-order fitting deviation of the coordinate characteristic value; determining a standard distance based on the measurement distance, and acquiring an anti-interference degradation index based on the difference between the measurement distance and the standard distance and the energy proportion of the wavelet basis after the fluctuation degree is changed; constructing a nonlinear compensation function based on the anti-interference degradation index to calculate a compensation amount, combining the direction of the residual error of the measurement distance to compensate and correct the measurement distance to obtain a corrected measurement distance; and detecting the flatness based on the corrected measurement distance. The application improves the detection precision of the flatness.

This invention discloses a calibration method for an integrated land-water point cloud ranging system. The method involves calculating the standard coordinates of the center of the first and second target spheres based on prism coordinates, and then calculating the vertical distance between the centers of the first and second target spheres, denoted as the standard distance. The method also involves acquiring the detection coordinates of the center of the first and second target spheres, and calculating the vertical distance between them, denoted as the detection distance. The difference between the standard distance and the detection distance is calculated and output as a standard distance consistency evaluation value. Keeping the distance between the first target sphere and the horizontal plane constant, the method changes the distance between the second target sphere and the horizontal plane, returning to acquire the prism coordinates detected by the total station, until n standard distance consistency evaluation values ​​are obtained. The integrated land-water point cloud ranging system includes: a shipborne integrated land-water system, a point cloud ranging system, and a total station prism system.

This invention relates to the field of rail transit technology, and in particular to a method and system for detecting the fitting rate of mounting surfaces. The method includes: acquiring a data cloud map of the component to be tested, wherein the data cloud map includes a mounting surface and a reference surface formed by data points; performing regression processing on the reference surface to obtain a regression surface of the component to be tested; aligning the regression surface with a reference surface of a template model of a preset model of the component to be tested; and, after the regression surface and the model reference surface are aligned, obtaining the fitting rate of the mounting surface based on the proportion of the number of data points on the mounting surface whose measured distance is less than or equal to a preset standard distance to the total number of data points. The purpose of this invention is to solve the problem of errors in the results of rapid detection of the fitting rate of mounting surfaces of components to be assembled during the repair and assembly of multiple parts on a high-speed train, thereby eliminating the errors caused by relying on human experience in traditional methods.

The present invention discloses a method for correcting the distance effect of a hyperspectral laser radar based on a homogeneous target. First, a hyperspectral laser radar is used to measure the original echo intensity data of a reference homogeneous target at different distances at all wavelengths; the measured original echo intensity data is normalized to obtain the normalized dimensionless echo intensity data; a segmented fitting model method is used to calculate the distance effect function; and according to the constructed distance effect function, a certain standard distance R is used to correct the distance effect function. s The distance effect correction factor is calculated as a reference; the original echo intensity data at any distance R is corrected according to the calculated distance effect correction factor to obtain the echo intensity data after distance effect correction. The above method fully considers the identity of the distance effect under different hyperspectral lidar wavelengths and is not limited by the vegetation index method. It can obtain the echo intensity after distance effect correction at any distance, laying the foundation for the subsequent vertical estimation of biochemical parameters.