A remote online tritium monitoring system
By constructing a coupled model of gas-solid interface adsorption kinetics and fluid transport, and using an extended Kalman filter algorithm, the monitoring distortion problem caused by memory effect and physical hysteresis in remote tritium online monitoring systems was solved, achieving second-level response and accurate source term reconstruction, thus improving the safety and reliability of the monitoring system.
Patent Information
- Application Number
- CN202610231424.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2026-02-27
- Publication Date
- 2026-05-26
- Estimated Expiration
- 2046-02-27
AI Technical Summary
Existing remote tritium online monitoring systems suffer from monitoring distortion due to memory effect and physical lag in long-distance sampling pipelines, making it difficult to achieve accurate source term reconstruction with high sensitivity and second-level response. They are also prone to missing sudden pulse leaks or falsely reporting background fluctuations.
A coupled model of gas-solid interface adsorption kinetics and fluid transport is constructed. The inverse problem is solved by combining the extended Kalman filter algorithm. The true tritium concentration at the source end of the sampling pipeline inlet is deduced in reverse. Early leakage warning instructions are generated by dynamically adjusting the alarm threshold and multi-dimensional dynamic background subtraction strategy.
It achieves second-level response and precise source term intensity restoration for sudden pulse leaks, improving the real-time performance and reliability of monitoring, reducing false alarm rate, and possessing full life-cycle health management capabilities.