CN-121978663-A - Water depth measurement accuracy checking method combining vertical reference conversion and dynamic terrain discrimination

CN121978663ACN 121978663 ACN121978663 ACN 121978663ACN-121978663-A

Abstract

The invention provides a water depth measurement accuracy inspection method combining vertical reference conversion and dynamic terrain discrimination, which relates to the technical field of ocean mapping, and comprises the steps of establishing a depth reference data set of theoretical depth reference grid points and a sonar measuring point data set containing main line data and inspection line data; the method comprises the steps of structuring a depth reference data set to generate a grid storage unit with a unique identification code, carrying out hash index positioning on a sonar measuring point data set by adopting the identification code to determine the grid storage unit to which each sonar measuring point belongs, extracting coordinates and L values of four corner points of the determined grid storage unit, and calculating the L values at each sonar measuring point through bilinear interpolation to form a sonar measuring point L value data set. The invention can optimize the water depth ratio strategy, improve the rationality and accuracy of the water depth measurement accuracy inspection, and realize the automatic treatment of the inspection flow.

Inventors

WANG YONG
HAN LEI
CHEN KAI
ZHAN YUN
LI XIAOCHAO
YAN LUYAN
HOU XINTING
LIU QI
LUAN TIAN
ZHENG QI
LIU BAOHUA
ZHANG JIUYAN
CUI GUOLI
LUAN XUEKE
CUI XIAOWEI
ZHAO YABO

Assignees

青岛市勘察测绘研究院

Dates

Publication Date: 20260505
Application Date: 20260306

Claims (9)

1. A water depth measurement accuracy checking method combining vertical reference conversion and dynamic terrain discrimination is characterized by comprising the following steps: establishing a depth reference data set of theoretical depth reference grid points, and establishing a sonar measuring point data set containing main line data and inspection line data; The depth reference data set is structured to generate a grid storage unit with a unique identification code, hash index positioning is carried out on the sonar measuring point data set by adopting the identification code, and the grid storage unit of each sonar measuring point is determined; Extracting the coordinates and L values of the four corner points of the determined grid storage unit, and calculating the L values at each sonar measuring point through bilinear interpolation to form a sonar measuring point L value data set; the normal heights of the sonar measuring points in the main measuring line and the inspection line are uniformly converted into the water depth under the theoretical lowest tide level through the sonar measuring point L value data set, and the water depth result of the main measuring point and the water depth result of the inspection point are respectively obtained; Based on the water depth achievements of check points, dynamically determining the radius of the comparison window by taking each check point as a center according to a measurement scale, and carrying out space retrieval within the radius range to obtain all main measuring points contained in each comparison window; For each comparison window, judging that the window belongs to a terrain flat area or a terrain undulating area according to comparison of the maximum difference value of the water depths of main measuring points in the window and a corresponding water depth interval threshold value; Calculating the water depth non-conforming value of the window judged as the terrain flat area and the window judged as the terrain undulating area respectively; And evaluating based on all the water depth disagreement values, counting qualified and disagreeable points, calculating errors in sounding, and accordingly judging the overall quality of the measured result.
2. The method for checking water depth measurement accuracy by combining vertical reference conversion and dynamic terrain discrimination according to claim 1, wherein establishing a depth reference dataset of theoretical depth reference lattice points and establishing a sonar measuring point dataset containing inline data and inspection line data comprises: Acquiring original data of theoretical depth reference grid points, wherein the original data comprises coordinates of each grid point and L values of the coordinates; Analyzing the acquired original data, extracting and organizing coordinates and L values of each grid point to construct a depth reference data set identifiable by a computer; Acquiring sonar measuring point normal high-result data based on a 1985 national elevation reference, classifying the result data according to a main line and an inspection line to obtain classified main line data and inspection line data; and respectively organizing and storing the classified main line data and the classified inspection line data to form a structured sonar measuring point data set.
3. The method for checking the water depth measurement accuracy by combining vertical reference conversion and dynamic terrain discrimination according to claim 2, wherein the method is characterized in that a depth reference data set is structured to generate a grid storage unit with a unique identification code, hash index positioning is carried out on a sonar measuring point data set by adopting the identification code, and the grid storage unit to which each sonar measuring point belongs is determined, and the method comprises the following steps: Carrying out structuring treatment on the depth reference data set, and constructing a grid storage unit defined by four corner coordinates and L values according to grid point space distribution of the depth reference data set; generating a grid identification code with space uniqueness according to a preset coding rule based on four-corner point coordinates of each grid storage unit; establishing a hash table by taking the grid identification codes as keywords, and carrying out associated storage on each grid storage unit and the corresponding grid identification codes to construct a hash index structure; According to the measuring point coordinates in the sonar measuring point data set, a grid identification code corresponding to the spatial position of each sonar measuring point is determined by inquiring the constructed hash index structure, and then a grid storage unit to which each sonar measuring point belongs is positioned.
4. The method for checking water depth measurement accuracy by combining vertical reference conversion and dynamic terrain discrimination according to claim 3, wherein the method for extracting coordinates and L values of four corner points of the determined grid storage unit for calculating L values at each sonar measuring point by bilinear interpolation to form a sonar measuring point L value data set comprises: Extracting four corner coordinates and L values of a corresponding grid storage unit according to the determined grid storage unit to which each sonar measuring point belongs, and obtaining a corner data set of each sonar measuring point; based on the angular point data set of each sonar measuring point, bilinear interpolation calculation is carried out on each sonar measuring point; obtaining an accurate L value of each sonar measuring point at a specific coordinate position through bilinear interpolation calculation; and (5) summarizing the accurate L values of all the sonar measuring points, and integrating and constructing a unified sonar measuring point L value data set.
5. The method for checking the water depth measurement accuracy by combining vertical reference conversion and dynamic terrain discrimination according to claim 4, wherein the method for uniformly converting the normal heights of sonar measuring points in a main measuring line and a checking line into the water depth under the theoretical lowest tide level through a sonar measuring point L value data set to respectively obtain a main measuring point water depth result and a checking point water depth result comprises the following steps: extracting an L value corresponding to each sonar measuring point from the sonar measuring point L value dataset aiming at each sonar measuring point in the main measuring line dataset and the inspection line dataset; obtaining a water depth value of each sonar measuring point under the theoretical lowest tide surface through conversion calculation based on the normal height of each sonar measuring point and the extracted L value; And (3) summarizing the calculated water depth values of all sonar measuring points in the main measuring point data set and the inspection line data set under the theoretical lowest tide surface to form corresponding main measuring point water depth results and inspection point water depth results.
6. The method for checking the water depth measurement accuracy by combining vertical reference conversion and dynamic terrain discrimination according to claim 5, wherein based on the water depth achievement of check points, the radius of a comparison window is dynamically determined by taking each check point as a center according to a measurement scale, and space retrieval is carried out within the radius range to obtain all main check points contained in each comparison window, and the method comprises the following steps: Dynamically calculating a corresponding comparison window radius according to a preset measurement scale aiming at each check point in the check point water depth achievement; Taking each check point as a center, taking the radius of a corresponding comparison window as a space range, and performing space retrieval in the water depth result of the main measuring point; identifying and acquiring all main measuring points falling into the window range corresponding to each check point by carrying out the space retrieval; spatial associations are established for each checkpoint with all of the acquired primary points, thereby determining all of the primary point sets contained within each alignment window.
7. The method for checking water depth measurement accuracy by combining vertical reference conversion and dynamic terrain discrimination according to claim 6, wherein for each comparison window, determining that the window belongs to a terrain flat area or a terrain undulating area according to comparison of a maximum difference value of water depths of main measuring points in the window and a corresponding water depth interval threshold value, comprises: Calculating the average value of the water depths of all main measuring points in each comparison window aiming at each comparison window to obtain the reference water depth of each comparison window; determining a water depth interval to which the reference water depth belongs according to the reference water depth, and acquiring a preset threshold corresponding to the water depth interval; calculating the difference between the maximum value and the minimum value of the water depths of all the main measuring points in the same comparison window to obtain the maximum difference; comparing the maximum difference value with a preset threshold value, and judging the terrain category of the same comparison window according to the comparison result, wherein if the maximum difference value does not exceed the preset threshold value, the window is judged to be a terrain flat area, and if the maximum difference value exceeds the preset threshold value, the window is judged to be a terrain undulating area.
8. The method for checking the accuracy of water depth measurement by combining vertical reference conversion and dynamic terrain discrimination as recited in claim 7, wherein calculating the water depth discrepancy value for the window determined as the terrain flat area and the window determined as the terrain undulating area, respectively, includes: obtaining a terrain category judgment result of each comparison window, wherein the terrain category comprises a terrain flat area or a terrain fluctuation area; Selecting a main measuring point which is closest to the geometric distance of the check point in the window by adopting a nearest comparison method for the window which is judged to be the terrain flat area, and calculating the water depth inconsistent value of the window based on the water depth values of the main measuring point and the check point; And (3) for the window determined to be the topographic relief area, adopting an inverse distance weighted comparison method, defining weights based on the geometric distances between each main measuring point and the check point in the window, and calculating the water depth inconsistent value of the window by integrating the water depth values of all the main measuring points and the check points.
9. The method for checking water depth measurement accuracy by combining vertical reference conversion and dynamic topography discrimination according to claim 8, wherein the evaluating based on all water depth disagreement values, counting pass and fail points and calculating error in sounding, and making a pass judgment on the overall quality of the measurement result based on the result, comprising: Obtaining all calculated water depth inconsistent values; comparing each water depth disagreement value with a corresponding water depth interval threshold value to judge whether each point is a qualified comparison point or not, and counting qualified points and unqualified points; calculating a sounding error based on the water depth disagreement values of all the qualified comparison points; And finally judging the overall quality of the water depth measurement result based on a preset standard according to the proportion of the unqualified points to the qualified points obtained through statistics and the error in sounding.

Description

Water depth measurement accuracy checking method combining vertical reference conversion and dynamic terrain discrimination Technical Field The invention relates to the technical field of ocean mapping, in particular to a water depth measurement accuracy checking method combining vertical reference conversion and dynamic terrain discrimination. Background The water depth measurement is a core technical link of ocean mapping, the accuracy of the measurement result of the water depth measurement is used for determining the development quality of related works in the ocean fields such as navigation safety guarantee, ocean resource development, engineering construction and the like to a great extent, and the water depth measurement accuracy check is used as a key means for controlling the quality of the measurement result and is a core step for guaranteeing the reliability and the application value of water depth measurement data. When the water depth measurement accuracy inspection is carried out in the current industry, the main stream adopts a nearest point matching principle to carry out water depth comparison, namely, only the point with the nearest geometric distance between a check point and a space in a measuring point is selected to carry out water depth value comparison analysis. The defects result in complex areas with severe change of the submarine topography such as steep slopes, ditches, sea mountains and the like, the comparison method can not accurately reflect the actual spatial characteristics of the topography, the water depth comparison result and the actual measurement precision are seriously distorted, the distortion of the comparison result further causes the high coarse difference rate and insufficient effective comparison points in the water depth precision assessment process, the quality control of the water depth measurement result lacks reliable judgment basis, and the actual technical requirement of the marine mapping on the water depth measurement precision inspection under the complex topography condition is difficult to meet. Disclosure of Invention The invention aims to solve the technical problem of providing a water depth measurement accuracy checking method combining vertical reference conversion and dynamic terrain discrimination, which can optimize water depth ratio strategy, improve the rationality and accuracy of water depth measurement accuracy checking and realize automatic processing of checking flow. In order to solve the technical problems, the technical scheme of the invention is as follows: a method for checking the accuracy of water depth measurement by combining vertical reference conversion and dynamic terrain discrimination, the method comprising: establishing a depth reference data set of theoretical depth reference grid points, and establishing a sonar measuring point data set containing main line data and inspection line data; The depth reference data set is structured to generate a grid storage unit with a unique identification code, hash index positioning is carried out on the sonar measuring point data set by adopting the identification code, and the grid storage unit of each sonar measuring point is determined; Extracting the coordinates and L values of the four corner points of the determined grid storage unit, and calculating the L values at each sonar measuring point through bilinear interpolation to form a sonar measuring point L value data set; the normal heights of the sonar measuring points in the main measuring line and the inspection line are uniformly converted into the water depth under the theoretical lowest tide level through the sonar measuring point L value data set, and the water depth result of the main measuring point and the water depth result of the inspection point are respectively obtained; Based on the water depth achievements of check points, dynamically determining the radius of the comparison window by taking each check point as a center according to a measurement scale, and carrying out space retrieval within the radius range to obtain all main measuring points contained in each comparison window; For each comparison window, judging that the window belongs to a terrain flat area or a terrain undulating area according to comparison of the maximum difference value of the water depths of main measuring points in the window and a corresponding water depth interval threshold value; Calculating the water depth non-conforming value of the window judged as the terrain flat area and the window judged as the terrain undulating area respectively; And evaluating based on all the water depth disagreement values, counting qualified and disagreeable points, calculating errors in sounding, and accordingly judging the overall quality of the measured result. Further, establishing a depth reference data set of the theoretical depth reference grid point, and establishing a sonar measuring point data set containing main line data and inspection lin