摘要
为解决水泵试验中非采集点数据读取不便、精度不高的问题,实现非采集点数据的无缝显示,基于LabVIEW虚拟仪器软件开发平台,设计一种水泵性能曲线非采集点数据跟踪显示程序.调用“广义多项式拟合”控件并使用最小二乘拟合方法,获得扬程-流量、效率-流量和功率-流量拟合曲线多项式方程;在此基础上,通过在“事件结构”中加入性能曲线图“鼠标移动”事件分支,对鼠标在性能曲线图上每次移动产生的坐标值进行刷新,将新的鼠标位置坐标对应的流量数据代入拟合曲线方程,计算得出所对应的新扬程、效率和功率数值,并对鼠标位置处性能数据值的显示格式进行调整,使其在鼠标位置处按照设定格式进行显示.结果表明:当鼠标在水泵性能曲线图上移动时,程序能够准确地跟踪鼠标位置,并显示鼠标所指位置处对应的流量、扬程、效率和功率数值,在实际应用中极大地方便了试验人员读取性能曲线图中非采集点数据.
In order to solve the problem of inconvenient reading and low reading accuracy of non-collected data in pump experiment,and realize a seamless display of non-collected data,a non-collected data tracking display program of pump performance curve was designed based on LabVIEW,a virtual instrument software development platform.By using″generalized polynomial fitting″control and the least square fitting method,the polynomial equations of head-flow,efficiency-flow and power-flow fitting curve were obtained.By adding the event branch of″mouse movement″in the performance curve in the″event structure″,the coordinate value generated by each movement of mouse in the performance curve was refreshed;the flow data corresponding to the new mouse position coordinates were brought into the fitting curve equation to calculate the new head,efficiency and power value of the current flow value.The display format of the performance data value displayed at the mouse position was adjusted to make it display in the set format at the mouse position.The results show that when the mouse moves in the pump performance curve,the program can accurately track the mouse position,and show the flow,head,efficiency and power values corresponding to the the mouse position.In practical application,it is very convenient for tester to read non-collected point data from the performance curve.
作者
温慧知
汤跃
汤玲迪
WEN Huizhi;TANG Yue;TANG Lingdi(National Research Center of Pumps,Jiangsu University,Zhenjiang,Jiangsu 212013,China)
出处
《排灌机械工程学报》
EI
CSCD
北大核心
2021年第2期128-131,共4页
Journal of Drainage and Irrigation Machinery Engineering
基金
江苏省自然科学基金项目(BK20180876)
中国博士后科学基金面上项目(2019M651735)
江苏省产学研合作项目(BY2018027)。
