Intelligent compensation method for coupling error of dynamic gravimeter
By constructing a comprehensive compensation method for coupling errors based on a long short-term memory model, this method analyzes and compensates for the multi-factor coupling errors of dynamic gravimeters in complex environments, solving the measurement accuracy and reliability problems in existing technologies and achieving higher measurement accuracy and environmental adaptability.
Patent Information
- Application Number
- CN202610100582.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-01-26
- Publication Date
- 2026-04-28
AI Technical Summary
Existing technologies are insufficient to effectively suppress the strong coupling errors of nonlinearity, time-varying and mutual modulation caused by factors such as vibration, temperature change and carrier mobility in complex environments, resulting in a decrease in measurement accuracy and reliability.
We employ a machine learning approach based on a long short-term memory model to analyze the coupling error impact mechanism of typical environmental disturbances, construct a comprehensive compensation model for coupling errors, and achieve intelligent compensation for multi-factor disturbances through a data-driven loss function and physical information constraints.
This improves the measurement accuracy and environmental adaptability of the dynamic gravimeter under complex and multi-factor interference conditions, reduces the requirements for the scale and quality of training data, and enhances measurement accuracy and practicality.