Product Overview
The project aims to develop an optical sensor: a trace water content detector for online detection of trace free water in aviation fuel. Based on the laser scattering principle, the optical sensor uses a photodetector to detect the proportion of laser power scattered by free water and calculates the trace free-water content in aviation fuel in real time through an online algorithm.
Technical Highlights
1. High-sensitivity Laser Scattering Detection Technology
Innovation: uses a specific-wavelength laser source, such as near-infrared, combined with a high-precision photodetector and optimized optical path design, significantly improving the ability to capture scattering signals from tiny water droplets at ppm level.
Advantage: overcomes noise-interference problems of traditional capacitance/conductivity methods in low-concentration detection. The detection limit can reach below 0.1 ppm, meeting stringent aviation fuel standards such as ASTM D6304.
2. Dynamic Online Algorithm and Real-time Calibration
Innovation: develops an adaptive signal-processing algorithm to deduct background noise in real time, such as fuel turbidity and bubble interference, and combines a temperature-pressure compensation model to ensure measurement stability under complex conditions.
Advantage: embedded algorithm deployment, such as FPGA/DSP, response time <1 second, supporting continuous online monitoring without manual intervention.
3. Compact Anti-contamination Optical Design
Innovation: the sensor uses a fully sealed flow path and self-cleaning window technology, such as ultrasonic vibration or hydrophobic coating, to prevent fuel residue from contaminating optical components and improve long-term stability by more than 80%.
Advantage: adapts to aviation fuel environments with high flow speed, such as 5 m/s, and high pressure, such as 10 MPa. Explosion-proof certification such as ATEX/IECEx ensures safety.
4. Multi-parameter Fusion Diagnosis Technology
Innovation: integrates multi-dimensional data such as scattering signal intensity and polarization state, and uses machine-learning models such as SVM to distinguish free water from dissolved water and avoid false alarms.
Advantage: output includes water content plus confidence score, meeting the aviation industry's strict data-reliability requirements.
5. Industrial Integration and Compatibility
Innovation: supports multiple industrial interfaces such as 4-20 mA and PROFINET, seamlessly connects to airport fuel management systems such as SCADA, and provides API support for cloud data analysis.
Advantage: modular design can be extended to other liquid detection applications, such as lubricating oil and liquid hydrogen, reducing customer reuse cost.