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High-intensity superconducting linear accelerators present significant challenges regarding efficiency and reliability during both commissioning and operation. This paper summarizes the engineering practices in full-process automated operation and maintenance implemented for the HIAF-iLinac SRF system. To address the requirements of large-scale cavity commissioning, an automated conditioning framework integrating AI-driven waveform recognition was developed, enabling 24/7 unattended operation for 96 SRF cavities. Utilizing online parallel measurement tools, over 600 critical cavity parameters were precisely calibrated, providing an essential foundation for beam commissioning. To facilitate the design and optimization of high-performance real-time control algorithms, an FPGA-based high-fidelity digital twin platform was constructed, allowing for closed-loop verification and parameter pre-tuning of advanced control strategies before engineering deployment. Regarding facility operation, a "one-key" rapid loading technology supporting both pulsed and continuous-wave modes was implemented, reducing the closed-loop recovery time after faults to within 2 minutes.
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