水利水电技术（中英文）

针对黄河水源泵站停机时进水流道泥沙淤积导致的机组重启故障问题,本研究开发了一套集成淤积监测、智能清淤与低温防护的可编程控制器(PLC)控制系统。系统通过7个分布式超声波传感器实时采集流道底板淤积数据,经由控制器解析后生成三维淤积模型,并联动执行机构完成定向清淤作业。核心技术包括:任一监测点连续3个周期淤积厚度≥20 cm时触发盘管电磁阀及清淤电机,通过倾斜喷嘴形成漩流冲刷泥沙;环境温度≤3℃时启动循环电机维持管网流速≥0.49 m/s,以达到防冻目的。实测数据表明,系统清淤响应时间≤30 s,厚度控制精度±5 cm,冬季冻堵故障率降至零,为高含沙水源泵站提供了自动化解决方案。

In response to the problem of unit restart failure caused by sediment siltation in the inlet channel during the shutdown of the Yellow River water pumping station, a programmable logic controller(PLC) control system integrating siltation monitoring, intelligent siltation, and low-temperature protection was developed in this study. The system collects real-time siltation data from seven distributed ultrasonic sensors on the bottom plate of the flow channel, generates a three-dimensional siltation model after analyzing by the controller, and links the actuators to complete the directional siltation operation. The core technology includes: triggering the coil solenoid valve and dredging motor when the silt thickness is ≥20 cm, forming a swirling flow through the inclined nozzle to flush the sediment; starting the circulation motor to maintain the flow rate of the pipeline network ≥0. 49 m/s to prevent freezing when the ambient temperature is ≤3 ℃. Measured data show that the system dredging response time ≤ 30 seconds, thickness control accuracy ± 5 cm, winter freeze blocking failure rate to zero, for high sand content water pumping station provides an automated solution.