基于作物水胁迫声发射的精准灌溉模糊控制模型

摘要

Precision irrigation in fuzzy control system based on crop water stress acoustic monitoring was designed. Moreover, conventional double fuzzy control model was found to carry out two work mode, normal irrigation and precision irrigation, which aims to both ensure normal growth of crops and achieve effective water-saving. Based on conventional fuzzy model, self learning fuzzy model for crop growth was built to tackle with normal irrigation and precision irrigation. In order to testify the control strategy, an experiment platform including virtual instruments was founded. Experiments show that the system can effectively conduct water regulation according to the acoustic emission and environment information affecting crop growth within the certain scope, realize accurate irrigation for crops and avoid low efficiency and water excessive in the normal irrigation.%设计了基于作物水胁迫声监测精准灌溉的模糊控制系统,论述了正常灌溉和精准灌溉两种不同工作方式下常规双模模糊控制策略的制定,控制策略的目标是既要保证作物正常生长又要实现节水效果.在此基础上,建立适用于作物生长环境的自学习模糊控制模型.实验表明:系统能够根据声发射号及影响作物生长的环境信息在一定范围内进行给水量的调节,实现作物的精准灌溉,避免正常灌溉时效率低下、施水过量的问题.