Gravity field three-dimensional model construction method based on Delaunay triangulation network

Abstract

The invention discloses a gravity field three-dimensional model construction method based on a Delaunay triangulation network, and the method comprises the steps: obtaining gravity field sampling data, converting longitude and latitude coordinates in the gravity field sampling data into projection coordinates X and Y, carrying out the factor conversion of a gravity abnormal value G in the gravityfield sampling data, and obtaining a gravity conversion value Z; enabling X, Y and Z jointly to form gravitational field three-dimensional data; and then, subdividing the gravitational field three-dimensional data by using a Delaunay triangulation algorithm to obtain a gravitational field triangulation network, i.e., obtaining the gravitational field three-dimensional model for three-dimensional space analysis of the gravitational field. The method can improve the expression accuracy of gravity field data; the gravitational field three-dimensional model can be used for three-dimensional spaceanalysis of the gravitational field, and the flexibility and accuracy of gravitational field data analysis can be improved.

Description

technical field [0001] The invention belongs to the field of gravity matching navigation systems, in particular to a method for constructing a three-dimensional gravity field model based on Delaunay triangulation. Background technique [0002] High-precision autonomous navigation and positioning is one of the key technologies for the autonomous operation of underwater vehicles, and the gravity-matching assisted inertial navigation system is an effective underwater autonomous and passive integrated navigation system. Due to the particularity of water medium and underwater environment, commonly used navigation technologies such as radio navigation and satellite navigation are difficult to apply underwater. Although passive and autonomous inertial navigation has the characteristics of high navigation accuracy, comprehensive navigation information, and good concealment in a short period of time, and is widely used in underwater navigation, due to the continuous drift of the gyro...

AI Technical Summary

Problems solved by technology

Its disadvantages are that, firstly, the characteristics of the irregular gravity field are incompatible with the regular data representation, and secondly, the regular grid is a discontinuous function. Although the calculation is convenient, it is not conducive to the representation of the complex gravity field. , cannot accurately represent the structural and detailed features of the gravity field, and is not suitable for areas with different fluctuations and complexity of the gravity field

In addition, the traditional gravity field data generally stores latitude and longitude coordinates (B, L), which belong to the geographic coordinate system and are spherical coordinates, the unit is degree, which is actually an irregular surface; The spherical coordinates are transformed into the projected coordinate system (X, Y), that is, the plane coordinate system, and the unit is meters. At this time, the plane gravity background map is not a regular grid, so the traditional gravity field data expression is not accurate enough, and a new one needs to be found. method to compensate for the limitations of existing methods

Images