CN-122015785-A - Measurement method, system, equipment and medium

CN122015785ACN 122015785 ACN122015785 ACN 122015785ACN-122015785-A

Abstract

The invention discloses a measuring method, a measuring system, equipment and a medium, which belong to the technical field of engineering measurement, wherein the method comprises the steps of measuring the same target point at least two different measuring positions to obtain measuring coordinates corresponding to each measuring position, carrying out data fusion on the measuring coordinates to obtain initial coordinates of the target point, wherein the measuring coordinates are coordinates of the target point relative to the measuring positions, carrying out confidence assessment based on all the measuring coordinates and the initial coordinates to obtain confidence, determining an adjusting scheme when the confidence is smaller than a preset confidence threshold, and measuring again according to the adjusting scheme until the confidence is larger than or equal to the preset threshold, so that the target coordinates of the target point are obtained.

Inventors

QIU WENTIAN
CHEN WAN
LI NING
YANG HAOLIN
LIN HAILUN

Assignees

广州南方测绘科技股份有限公司

Dates

Publication Date: 20260512
Application Date: 20260206

Claims (10)

1. A method of measurement, comprising: Measuring the same target point at least two different measurement positions to obtain measurement coordinates corresponding to each measurement position, and carrying out data fusion on each measurement coordinate to obtain an initial coordinate of the target point, wherein the measurement coordinates are coordinates of the target point relative to the measurement positions; performing confidence evaluation based on all the measured coordinates and the initial coordinates to obtain confidence degrees, and determining an adjustment scheme when the confidence degrees are smaller than a preset confidence threshold value; And re-measuring according to the adjustment scheme until the confidence coefficient is greater than or equal to the preset threshold value, stopping adjustment, and obtaining the target coordinates of the target point.
2. The measurement method according to claim 1, wherein the confidence evaluation is performed based on all the measurement coordinates and the initial coordinates to obtain a confidence level, specifically: calculating an average value according to all the measurement coordinates to obtain an average value coordinate; Performing standard deviation calculation according to all the measurement coordinates and the mean coordinates to obtain a first value used for representing the degree of dispersion among the measurement coordinates; Performing deviation calculation according to the initial coordinate and the mean coordinate to obtain a second value; According to the geometric relation between each measuring position and the target point, calculating to obtain a third value used for representing the geometric intensity of the current measuring layout scheme; And carrying out weighted calculation on the first value, the second value and the third value according to a preset weight coefficient to obtain the confidence coefficient.
3. The measurement method of claim 2, wherein the weight coefficient is determined based on a data analysis method or an information entropy weight method.
4. The measurement method according to claim 2, wherein the determining an adjustment scheme is specifically: if the first value is larger than a preset standard deviation threshold value, obtaining the adjustment scheme by increasing the measurement times of a preset number; If the third value is smaller than a preset intensity threshold value, the adjustment scheme is obtained by adjusting each measurement position or increasing the measurement times of a preset number; If the number of times that the confidence coefficient is smaller than the preset confidence threshold value is larger than or equal to a preset quantity threshold value, prompting information is generated to prompt fault detection of the measuring equipment.
5. The measurement method according to claim 1, wherein the same target point is measured at least two different measurement positions to obtain measurement coordinates corresponding to each measurement position, specifically: For each measuring position, acquiring equipment coordinates, equipment postures and measured values corresponding to each measuring position; And processing the measured value based on the equipment posture, and combining the equipment coordinates to obtain the measurement coordinates of the target point at the measurement position.
6. The method of claim 5, wherein the data fusion of each of the measured coordinates is performed to obtain the initial coordinates of the target point, specifically: based on each measurement coordinate and the corresponding measurement value, determining an observation model by adopting a least square adjustment mode; and solving the observation model by adopting a least square algorithm, and obtaining the initial coordinate by minimizing the observation error.
7. The method of claim 5, wherein the data fusion of each of the measured coordinates is performed to obtain the initial coordinates of the target point, specifically: Obtaining an objective function, wherein the objective function takes the initial coordinates as variables to be optimized, the objective function is obtained by calculating the sum of residual squares between each measured value and a corresponding observed value, and the observed value is obtained by calculating the distance square difference between the measured coordinates and the initial coordinates; And iteratively optimizing the objective function through a nonlinear optimization algorithm to obtain the initial coordinates.
8. The measuring system is characterized by comprising a first measuring module, a confidence evaluating module and a second measuring module; the first measurement module is used for measuring the same target point at least two different measurement positions to obtain measurement coordinates corresponding to each measurement position, and carrying out data fusion on each measurement coordinate to obtain initial coordinates of the target point, wherein the measurement coordinates are coordinates of the target point relative to the measurement positions; The confidence evaluation module is used for performing confidence evaluation based on all the measurement coordinates and the initial coordinates to obtain confidence degrees, and determining an adjustment scheme when the confidence degrees are smaller than a preset confidence threshold value; And the second measurement module is used for re-measuring according to the adjustment scheme until the confidence coefficient is greater than or equal to the preset threshold value, stopping adjustment, and obtaining the target coordinates of the target point.
9. A terminal device comprising a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, when executing the computer program, implementing the measurement method according to any of claims 1-7.
10. A computer readable storage medium comprising a stored computer program, wherein the computer program, when run, controls a device in which the computer readable storage medium is located to perform the measuring method according to any one of claims 1-7.

Description

Measurement method, system, equipment and medium Technical Field The present invention relates to the field of engineering measurement technologies, and in particular, to a measurement method, system, device, and medium. Background In the fields of engineering mapping, deformation monitoring, equipment installation and the like, which require high-precision spatial positioning, accurate and reliable measurement of coordinates of a target point is a core requirement. The existing laser measurement technology mostly adopts single measurement, and accidental errors cannot be identified and eliminated. When the interference such as atmospheric disturbance, multipath effect or slight equipment shaking is encountered, deviation can appear in the measurement result, and measurement accuracy is low. Disclosure of Invention The invention provides a measuring method, a measuring system, measuring equipment and a medium, which can solve the problem of low measuring precision. The invention provides a measuring method, which comprises the following steps: Measuring the same target point at least two different measurement positions to obtain measurement coordinates corresponding to each measurement position, and carrying out data fusion on each measurement coordinate to obtain an initial coordinate of the target point, wherein the measurement coordinates are coordinates of the target point relative to the measurement positions; performing confidence evaluation based on all the measured coordinates and the initial coordinates to obtain confidence degrees, and determining an adjustment scheme when the confidence degrees are smaller than a preset confidence threshold value; And re-measuring according to the adjustment scheme until the confidence coefficient is greater than or equal to the preset threshold value, stopping adjustment, and obtaining the target coordinates of the target point. The embodiment of the invention measures the same target point at a plurality of different measuring stations, spatially-converged geometric synchronous amplified signal redundancy can improve measurement accuracy, performs data fusion on the measuring coordinates of each station, can average random error, compress coordinate standard deviation and remarkably reduce the measuring error, performs confidence assessment on the basis of all the measuring coordinates and initial coordinates, can improve the reliability of the measuring result, further improves the accuracy, generates an adjustment scheme when the confidence is lower than a threshold value, forms closed loop iteration, quickly approximates to the lower limit of error, improves the convergence efficiency, stops after the confidence reaches the standard, and realizes high-precision and high-reliability measuring coordinate output. Further, the confidence evaluation is performed based on all the measured coordinates and the initial coordinates to obtain a confidence degree, which is specifically: calculating an average value according to all the measurement coordinates to obtain an average value coordinate; Performing standard deviation calculation according to all the measurement coordinates and the mean coordinates to obtain a first value used for representing the degree of dispersion among the measurement coordinates; Performing deviation calculation according to the initial coordinate and the mean coordinate to obtain a second value; According to the geometric relation between each measuring position and the target point, calculating to obtain a third value used for representing the geometric intensity of the current measuring layout scheme; And carrying out weighted calculation on the first value, the second value and the third value according to a preset weight coefficient to obtain the confidence coefficient. The method comprises the steps of calculating a mean value coordinate, providing a stable reference standard, improving the calculation precision of subsequent dispersion and deviation, quantifying the internal consistency by a first value, reflecting the precision of data in real time by a smaller value, quantifying the fusion deviation by a second value, enabling a model to be more consistent with a statistical result by a smaller value, improving the accuracy, quantifying the intensity of a graph by a third value, enabling the sharpness of a space intersection to be more high, synchronously enhancing the elevation and the plane resolution, weighting and synthesizing confidence, and improving the reliability of a measurement result. Further, the weight coefficient is determined based on a data analysis method or an information entropy weight method. The method can realize accurate matching of the weight and the error contribution by automatically inverting the weight through a data analysis method, improve the evaluation precision, or dynamically highlight key indexes and improve the evaluation sensitivity through weighting through an information entropy weight meth