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灌区闸门量水试验研究

Study on water measurement test of gate in irrigation area
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摘要 为了解决灌区闸门量水公式适用环境苛刻,量水精度偏差大的问题,在量水试验研究中引入自动控制技术,经过负反馈系统调节闸门开度。本文通过大量的数据统计,进行人工智能流态分析,将平均淹没深度与误差建立联系,寻找不同系数下的误差修正方法,同时也依据当前环境状态进行调整,最终将测量误差控制在5%以内。与传统人工调节方法相比,人工智能的引入增强了量水试验的工程应用性,同时提高了水工建筑物量水的灵活性和适用范围。 In order to solve the problem that the application environment of the gate water measuring formula in the irrigation area is harsh and the water measuring accuracy deviation is large,the automatic control technology is introduced in the water measuring test research,and the gate opening is adjusted through the negative feedback system.In this paper,through a large number of data statistics,the flow pattern analysis of artificial intelligence is carried out,the average submergence depth is connected with the error,and the error correction method under different coefficients is found.At the same time,the measurement error is adjusted according to the current environmental state,and finally the measurement error is controlled within 5%.Compared with the traditional artificial regulation method,the introduction of artificial intelligence enhances the engineering practicality of water measurement test,and improves the flexibility and scope of application of water measurement of hydraulic structures.
作者 杨楠 周文龙 YANG Nan;ZHOU Wenlong(Jiangxi Academy of Water Science and Engineering,Nanchang Jiangxi,330029,China;Yushan County Wencheng Street Comprehensive Convenience Service Center,Yushan Jiangxi,334700,China)
出处 《江西水利科技》 2023年第4期247-251,共5页 Jiangxi Hydraulic Science & Technology
基金 江西省水利厅科技项目(202123TGKT03,202123YBKT03)。
关键词 量水闸门 自动化控制 负反馈 水头差 淹没深度 Water measuring gates Automation control Negative feedback Poor water head Flooding depth
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