Speaker
Description
Traditional X-ray Fluorescence (XRF) techniques struggle to meet the requirements of low-latency response and continuous online measurement in industrial scenarios. To address this challenge, this work develops a compact, cloud-deployable XRF spectrometer with real-time data acquisition capability for industrial online elemental analysis.
The system integrates a Si-PIN detector with prototyping of the readout electronic (PRE), and employs a Kintex-7 FPGA as the core unit for high-speed digital signal processing. Moving Window Deconvolution (MWD) algorithm is implemented for spectral resolution enhancement and Geant4 simulation is used for air attenuation correction to ensure reliable performance under non-vacuum conditions. By integrating the USR-DR502 module and MQTT protocol, the established 3-tier host workstation system achieves low-latency data synchronization and supports automated measurement workflows, enabling simultaneous local and remote monitoring.
Test results show that the system achieves an energy resolution of 266 eV at 6.40 keV and an integral nonlinearity of 0.15%. Moreover, quantitative analysis of standard Fe-Ca samples yields relative errors within 0.20%, which validates the system's high accuracy and feasibility for practical industrial online applications.
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