Research And Application Of Automatic Adjustment System Of Pump Blade Based On STM32

In the face of excessive energy consumption and the continuous development of artificial intelligence,in order to achieve the purpose of integrated and precise adjustment,real-time monitoring and reasonable scheduling of water resources for large-scale pump unit blades,this project designs and develops an STM32-based pump blade automatic adjustment system based on the background of the automation project of Nanshui Diao Baoying pumping station in Yangzhou City,Jiangsu Province,so as to maximize the operating efficiency of the pumping station.This paper first introduces the current development status of pump regulation,rational allocation of water resources,automatic control of pump blades at home and abroad,and then analyzes the limitations of current pump regulation technology,optimization algorithm and automatic control,and designs and develops the relevant pump impeller blade angle adjustment automatic control system.The system is mainly divided into four parts:data acquisition part,data processing part,regulation drive part and host computer monitoring and management part.STM32F103RCT6 chip is used to control each sensor such as angle detection sensor,water level sensor and pump set flow sensor for the detection of relevant parameters,through the processing of hydrological parameters such as pump blade angle,water level and pump head,output pump operation characteristic curve to find the optimal working condition of the pump,according to the real-time pump station operation water lifting requirements in the area,the pump impeller blade angle is dynamically adjusted on site.Under the premise of ensuring the completion of water lifting,the pump operating conditions are optimally realized,and the purpose of energy saving and consumption reduction is achieved.In order to achieve the goal that the pump can work near the optimal working point of the pump characteristic curve,this design establishes a mathematical model of pump blade regulation,solves the loss function and curve gradient based on the neural network algorithm and establishes the pump characteristic curve database,and uses the gradient descent method to find the optimal working condition point of the pump characteristic curve under the condition that the hydrological conditions change within a certain range,and calculates the pump blade angle at the optimal working condition point of the pump characteristic curve according to the similarity of the pump blade variation.In order to accelerate the prediction and improve the solution ability of the algorithm,the optimization of the upper computer algorithm and the blade angle controller are combined to form the impeller blade automatic adjustment control system.After the algorithm is properly improved and verified by experiments,the actual model is solved,and the basic goals of water pump water saving and consumption reduction and reasonable allocation of water resources are realized.Using SCADA server,McgsSetPro configuration software has built a data processing and control platform for the host computer,which can realize database call and remote configuration adjustment and monitoring,grasp the operating conditions of the pump in real time,and understand the upstream and downstream water level,pump blade angle and other information.The measured results show that when the upstream and downstream water level,flow,head and other parameters of the pump station change within a certain range,the system can realize the automatic adjustment of the impeller blade angle,so that the pump unit can operate in the relatively efficient operation area,and the results have certain practical value.