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Multi-stage pump station dynamic constant liquid level intelligent adjusting method and system
The invention discloses a multi-stage pump station dynamic constant liquid level intelligent adjusting method and system. The method comprises the steps: obtaining working relation data of a multi-stage pump station; obtaining a first relation between the water flow and the liquid level of a first pump station according to the working relation data; obtaining a first pump station historical record; optimizing the first relation according to the first pump station historical record to obtain a second relation; inputting the first water flow demand and the second relationship into a liquid level prediction model to obtain a predicted liquid level change amount; judging whether the predicted liquid level change amount exceeds a first pump station liquid level change threshold value or not; and when the predicted liquid level change amount exceeds the first pump station liquid level change threshold value, obtaining a control parameter according to the predicted liquid level change amount and the working relation data, and executing a first control instruction according to the control parameter, wherein the first control instruction is used for controlling all the pump stations in the multiple stages of pump stations. According to the invention, the technical problem that in the working process of a multi-stage pump station in the prior art, the liquid level of each stage of pump station cannot be kept in a stable constant liquid level state in dynamic change, and the use effect of the multi-stage pump station is affected is solved.
本发明公开了一种多级泵站动态恒液位智能调节方法及系统,通过获得多级泵站的工作关系数据;根据工作关系数据,获得水流量与第一泵站液位的第一关系;获得第一泵站历史记录;根据第一泵站历史记录对所述第一关系进行优化,获得第二关系;将第一水流需求、第二关系输入液位预测模型,获得预测液位改变量;判断预测液位改变量是否超出第一泵站液位改变阈值;当超出时根据预测液位改变量、工作关系数据,获得控制参数,按照控制参数执行第一控制指令,第一控制指令用于对所述多级泵站中各泵站进行控制。解决了现有技术多级泵站在工作过程中各级泵站的液位无法在动态变化中保持稳定的恒液位状态而影响多级泵站使用效果的技术问题。
Multi-stage pump station dynamic constant liquid level intelligent adjusting method and system
The invention discloses a multi-stage pump station dynamic constant liquid level intelligent adjusting method and system. The method comprises the steps: obtaining working relation data of a multi-stage pump station; obtaining a first relation between the water flow and the liquid level of a first pump station according to the working relation data; obtaining a first pump station historical record; optimizing the first relation according to the first pump station historical record to obtain a second relation; inputting the first water flow demand and the second relationship into a liquid level prediction model to obtain a predicted liquid level change amount; judging whether the predicted liquid level change amount exceeds a first pump station liquid level change threshold value or not; and when the predicted liquid level change amount exceeds the first pump station liquid level change threshold value, obtaining a control parameter according to the predicted liquid level change amount and the working relation data, and executing a first control instruction according to the control parameter, wherein the first control instruction is used for controlling all the pump stations in the multiple stages of pump stations. According to the invention, the technical problem that in the working process of a multi-stage pump station in the prior art, the liquid level of each stage of pump station cannot be kept in a stable constant liquid level state in dynamic change, and the use effect of the multi-stage pump station is affected is solved.
本发明公开了一种多级泵站动态恒液位智能调节方法及系统,通过获得多级泵站的工作关系数据;根据工作关系数据,获得水流量与第一泵站液位的第一关系;获得第一泵站历史记录;根据第一泵站历史记录对所述第一关系进行优化,获得第二关系;将第一水流需求、第二关系输入液位预测模型,获得预测液位改变量;判断预测液位改变量是否超出第一泵站液位改变阈值;当超出时根据预测液位改变量、工作关系数据,获得控制参数,按照控制参数执行第一控制指令,第一控制指令用于对所述多级泵站中各泵站进行控制。解决了现有技术多级泵站在工作过程中各级泵站的液位无法在动态变化中保持稳定的恒液位状态而影响多级泵站使用效果的技术问题。
Multi-stage pump station dynamic constant liquid level intelligent adjusting method and system
一种多级泵站动态恒液位智能调节方法及系统
SHAN LINGLIN (Autor:in) / SHI HUIFEN (Autor:in) / WU DEJIN (Autor:in) / GONG ZIYU (Autor:in) / SHEN ZHOU (Autor:in) / YANG KAI (Autor:in)
08.02.2022
Patent
Elektronische Ressource
Chinesisch
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