Biometric Technology Today, Vol. 2025 No. 1 (0): Theme: The Adaptive Biometric Technology: Innovations in AI, Security, Data Mining, and Network Optimization, Theme: Adaptive Biometric Technology: Innovations in AI, Security, Data Mining, and Network Optimization

Study on efficiency improvement of agricultural irrigation pumping system using brushless DC motor in electrical automation technology

Authors

  • Hongmei Zhu , College of Energy and Materials Engineering, Qinghai Vocational and Technical University
  • Meijun Pan College of Energy and Materials Engineering, Qinghai Vocational and Technical University

Keywords:

Brushless DC motor, agricultural irrigation system, effective utilization factor of irrigation water, STM32 microcontroller

Abstract

Electrical automation technology is applied to the construction of agricultural irrigation pump system to form a complete new agricultural irrigation system, which provides strong support and guarantee for modern agricultural development and scientific water supply. The article combines the Internet of Things technology and electrical automation technology to establish the framework of agricultural irrigation system, and combines the brushless DC motor to realize the integrated irrigation pump integrated intelligent valve control. Combined with the evapotranspiration of crops in actual growth, the crop evapotranspiration prediction model is constructed, and the effective utilization coefficient of agricultural irrigation water is measured using the first and last measurement analysis method. For the intelligent control of agricultural irrigation pumps, this paper takes STM32 microcontroller as the basis, constructs the brushless DC motor control strategy, and designs the corresponding inverter drive protection circuit, and then carries out the effectiveness verification and analysis. The results show that the phase current fluctuation range is stabilized between 12.01A~17.75A under the brushless DC motor control strategy based on STM32. The combined net irrigation water volume of pepper and tobacco after the introduction of the agricultural irrigation pump system was lower than the actual net irrigation water volume by 1481.86 and 211.88 m³/hm², respectively, and the error between the predicted and actual irrigation volume of this system was no more than 3.57% at the maximum. Therefore, the introduction of brushless DC motors into agricultural irrigation systems can maximize the use of water resources for agricultural irrigation.

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Published

2025-06-11

Issue

Section

Theme: Adaptive Biometric Technology: Innovations in AI, Security, Data Mining, and Network Optimization