长江科学院院报2024，Vol.41Issue(3)：166-170,5.DOI:10.11988/ckyyb.20221434
泵站过流能力校核系统开发及应用
Development and Application of Flow Capacity Checking System for Pumping Station
摘要
Abstract
Long-term operation of pump station led to increased resistance and weakened outflow capacity,thereby impacting urban drainage efficiency.In view of this,we have developed a flow capacity check and evaluation system for pump stations utilizing the Python programming language and digital image technology.Real-time data of the axi-al flow pump voltmeter and ammeter is collected using cameras,while ultrasonic Doppler profilers and radar water level gauges record the outlet flow and head of the pump station.To address the issue of flow data deviation caused by complex flow patterns and ambient noise interference,we have implemented a moving median filtering method and employed Bessel interpolation for data completion.These methods significantly improve the accuracy of flow da-ta.Our system has been successfully applied to assessing the outflow capacity of pumping stations,uncovering that the measured outflow capacity falls below the theoretical value in conditions where power and head remain constant.关键词
轴流泵/过流能力/ADCP/图像识别Key words
axial flow pump/flow capacity/ADCP/image recognition分类
建筑与水利引用本文复制引用
陈红,何汶远,刘云..泵站过流能力校核系统开发及应用[J].长江科学院院报,2024,41(3):166-170,5.基金项目
浙江省河口海岸重点实验室开放基金研究课题(ZIHE21008) （ZIHE21008）
国家自然科学基金项目(51909069) （51909069）
