Skip to content

ewencai/MicroGravNet

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 

Repository files navigation

MicroGravNet — 微重力测网设计系统

MATLAB Release

Microgravity survey network design and optimization toolbox. A 4-step wizard-driven desktop application for quantitative pre-survey network design in microgravity exploration.

banner

Splash

Splash screen — 4-step workflow overview

Overview

MicroGravNet determines the optimal survey geometry before field deployment, using forward gravity modeling to answer:

  • Boundary extension — How far beyond the target body should the survey extend?
  • Sampling interval — What's the maximum grid spacing preserving interpolation accuracy?
  • Target/extension zone — Where are the actual construction boundaries after extension?
  • Station layout — Coordinates for gradient / graded / hybrid survey networks.

The 4 Tab wizard integrates these into a single workflow.

Features

Tab 1 — Boundary Extension Analysis

  • Forward gravity for 4 body types: cuboid, vertical cylinder, horizontal cylinder, sphere
  • Nagy (1966) analytical prism formula for cuboids
  • Normalized anomaly profile → threshold crossing → optimal extension distance
  • 3D model visualization + gravity profile with threshold line

Tab 2 — Sampling Interval via Kriging Error Analysis

  • Ultra-dense "truth field" → multi-interval sparse sampling → Surfer Kriging interpolation
  • Relative error matrix: sampling interval × distance from center
  • Zone-partitioned recommendations (core / target / extension)
  • Interactive error cloud with threshold contours and fitting lines

Tab 3 — Target Zone Confirmation

  • Load boundary polygons (.dat/.txt/.xlsx/.csv)
  • Auto-detect rectangle vs. irregular polygon
  • Shape-preserving rectangle extension / edge-normal intersection for polygons
  • Target zone (red) + extension zone (blue) visualization

Tab 4 — Network Design (3 modes)

Mode Method Use Case
Gradient Interior uniform + progressive expansion stages (polybuffer smoothing, adaptive perimeter sampling) Smooth transitions
Graded Interior fixed + 2–5 graded annuli with independent intervals (shape-preserving) Zoned surveys
Hybrid Inner graded annuli + outer gradient zone (smooth polybuffer transition) Real-world blend
  • Grid rotation, anchor-point alignment, near-boundary point relaxation
  • Export: station Excel (3 sheets), design diagram PNG, boundary files

System Requirements

Component Requirement
OS Windows 10/11 (64-bit)
Runtime MATLAB Runtime R2026a
Surfer (optional) Golden Software Surfer 13+ for Kriging (Tab 2 only)
Memory 8 GB recommended

Download

Get the latest installer from Releases.

Documentation

Document Content
软件说明书 (Technical Manual) Complete Nagy formulas, Kriging error analysis theory, network design algorithms with function mapping, FAQ
用户手册 (User Manual) Step-by-step operation, output formats, test data guide, figure templates
安装指南 (Installation Guide) System requirements, MATLAB/Surfer setup, license activation, standalone compilation

Survey Station Naming

Zone Format Example Meaning
Target PP + PCM + LL 02PCM45 Point 02, Line 45
Extension RR + PCK + NN 01PCK05 Ring 01, Point 05

Output Formats

Product Format Content
Stations .xlsx (3 sheets) X, Y, Line#, Point#, Name
Design Diagram PNG @ 200dpi Boundaries, layered stations, scale bar, north arrow, legend, statistics
Error Cloud PNG @ 200dpi Distance-Interval-Error surface with threshold contours
Error Matrix .csv / .asc (DSAA) Full error grid
Recommendations .csv Zone, recommended interval, start distance
Project .mat Full workspace snapshot

Screenshots

Tab1 Boundary Extension Tab 1: Forward model + normalized gravity profile with threshold determination

Tab2 Error Cloud Tab 2: Relative error cloud with threshold contours and zone recommendations

Tab3 Target Zone Tab 3: Target zone boundary extension

Tab4 Hybrid Network Tab 4: Hybrid survey network design

Technical References

  • Nagy, D., Papp, G., & Benedek, J. (2000). The gravitational potential and its derivatives for the prism. Journal of Geodesy, 74, 552–560.
  • Spector, A. & Grant, F. S. (1970). Statistical models for interpreting aeromagnetic data. Geophysics, 35(2), 293–302.

Built for exploration geophysicists who design microgravity surveys.

About

Microgravity survey network design and optimization tool

Topics

Resources

Stars

1 star

Watchers

0 watching

Forks

Packages

 
 
 

Contributors