受运行时长、安装位置等多种因素影响，水泵装置理论特性曲线难以准确描述实际抽水装置的运行特性，导 致通过以其为基础所构建的泵站优化模型计算得到的运行方案偏离实际。基于水泵理论曲线提出数据和机理双 重驱动的参数辨识方法校正水泵装置特性曲线，通过对实测数据进行多项式拟合校正装置效率曲线，以实测数据 诱导转速理论曲线整体平移可实现装置转速曲线的校正。以南水北调东线工程的泗洪泵站为例，构建考虑机组 差异特性的泵站优化模型。结果表明：经过校正，效率曲线与实测数据的符合程度从校正前的 0.60 提升至 0.99， 转速曲线与实际的平均绝对误差比校正前降低了 0.23?r/min；基于装置特性曲线校正的差异特性站内优化分配方 案更加贴近实际运行情况，相比历史运行方案平均降低 10.1% 的能耗，可实现泵站高效运行与调度目标的精细控 制。利用实际运行数据对泵组装置特性曲线进行校正可有效加强泵站优化分配方案对实际调度的指导作用。

Pumping station equipment will gradually age with the increase of operating time, and the different operating time and installation position of each unit in a pumping station will lead to the difference in the degree of wear of each unit. Therefore, the operating characteristics of different pumping station units may have different degrees of deviation compared with the theoretical curve, which leads to the deviation of the operation scheme calculated by the optimization model of pumping station based on the theoretical curve.Based on the theoretical curve of the pump, the data and mechanism driven parameter identification methods were used to correct the characteristic curve of pumping station unit. The wear of the unit directly affects the operation efficiency of the pump. The efficiency curve of the unit is corrected by polynomial fitting of the measured data. For the correction of the theoretical curve of speed, because the speed of the operating condition points does not change much and the data points are relatively concentrated, the actual working condition can be converted into the operating parameters under different speeds in proportion, and the overall translation of the theoretical curve of speed can be further induced to achieve the correction of the speed curve. On the basis of the corrected results, considering the possible differences between the characteristic curves of each unit, the optimization model of the pumping station considering the difference characteristics of the unit is established. The maximum total operating efficiency of the pumping station is taken as the objective function to satisfy the flow constraint of a single unit, the total flow constraint and the rotation speed factor. The general particle swarm optimization algorithm is used to solve the model. The flow distribution results of each unit are more suitable for the actual output, so as to realize the fine control of the efficient operation and scheduling objectives of the pumping station.Taking Sihong Pumping Station of the East Route of South-to-North Water Transfer Project as an example, after sifting and sorting out the historical operation data, the curve correction and the comparison between the historical scheme and the optimized scheme are carried out. The results show that, compared with the theoretical curve, the deviation of the actual efficiency curve of the pumping device is large, and the characteristic curve before using the correction can not meet the requirement of calculation accuracy. Since the operation time of each unit in Sihong Pumping Station is more balanced, the difference between each unit is not obvious, and the coincidence degree between the modified efficiency curve and the measured data is increased from 0.6 before the correction to 0.99. However, because the cavitation generated by the pump itself will not affect the functional relationship between the unit speed and flow head, the deviation of the actual pumping device speed curve is very small, the consistency between the theoretical speed curve and the measured data reaches 0.99, the average absolute error of the corrected speed curve is 0.23 r/min less than the actual error before the correction. By comparing the historical operation scheme and the optimization scheme without curve correction, it can be found that the optimal distribution scheme based on the equipment characteristic curve correction is closer to the actual operating condition, avoids the flow distribution error compared with the actual operating condition, and effectively improves the problem of high efficiency of the optimized operation scheme based on the theoretical curve calculation. Compared with the historical operation scheme, the average energy consumption of the operation scheme calculated by the optimization model constructed is reduced by 10.1%.To sum up, using the actual operation data to correct the characteristic curve of the pump unit regularly can effectively strengthen the guiding role of the optimal distribution scheme of the pumping station to the actual dispatching.