Planetary Seismometer Azimuth Identification via Target Function
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Solution Overview
Problem
Current methods lack an automatic recognition algorithm for determining the active source azimuth of a planet seismometer, which is crucial for accurate positioning and data collection, especially in unmanned deployments where instruments face attitude changes due to vibrations and disturbances.
Innovation Solution
A method involving intercepting three-channel time sequences before and after active source first arrival signals, converting them to a horizontal plane based on pitch and roll angles, calculating maximum amplitudes in specific directions, constructing a target function, and scanning azimuth intervals to identify the optimal azimuth estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual azimuth measurement by astronauts is used, then measurement accuracy is maintained, but operation complexity and time consumption increase
Solution Approach 1:
The seismometer automatically performs azimuth identification by processing its own recorded seismic signals through the target function method, eliminating the need for manual measurement by astronauts. The system uses the recorded P-wave signals from known seismic events to compute azimuth automatically, achieving self-service operation while maintaining measurement accuracy.
Solution Approach 2:
The patent replaces manual mechanical measurement operations with an automated computational system. The target function A(φ) mathematically processes seismic signal characteristics to determine azimuth, substituting the mechanical/manual process with an algorithmic approach that automatically identifies azimuth from recorded waveforms.
2Productivity
If automatic recognition algorithm is implemented, then operation efficiency is improved, but algorithm complexity and computational requirements increase
Solution Approach 1:
The patent introduces a target function A(φ) as an intermediary mathematical model that bridges the raw seismic signals and the azimuth parameter. This target function serves as a computational mediator that systematically processes signal characteristics (amplitude, polarity, arrival time) to derive azimuth, making the complex relationship between signals and azimuth manageable through a structured mathematical framework.
3Measurement precision
If attitude changes due to vibration and disturbance are not corrected, then device simplicity is maintained, but measurement accuracy deteriorates
Solution Approach 1:
The patent incorporates attitude angle feedback into the azimuth calculation process. By obtaining pitch and roll angles from inertial sensors and feeding them back into the coordinate transformation equations, the system compensates for attitude changes. This feedback mechanism allows the calculation to adapt to actual instrument orientation, maintaining accuracy despite vibrations and disturbances.
Data Source
AI summary
A method for automatically identifying an active source azimuth of a planet seismometer, comprising: intercepting a three-channel original time sequence in a duration before and after an active source first arrival signal of each support leg received by a planet seismometer in turn; converting the three-channel original time sequence to a horizontal plane based on a pitch angle and a roll angle of the planet seismometer after being deployed to a surface of a planet; converting a time sequence of the horizontal plane to RTZ coordinates and calculating the maximum amplitudes of components of a vibration signal; constructing a target function based on the maximum amplitudes of components of a vibration signal, and scanning an azimuth of the planet seismometer at preset angle intervals, wherein when the target function reaches the minimum, the corresponding azimuth of the planet seismometer is the optimal estimation.