基于微水发电系统的智慧农业物联网设备研发及应用

鉴于中国水资源短缺且农业灌溉用水有效利用率低的现状,为提高农业灌溉用水效率与效能,加快高科技智慧型农业设备研发与推广,降低农业投入以及农业用水的比例,采用数值模拟与模型试验相结合的方法,制定四因素三水平的正交试验优化方案,对9种不同方案在设计流量点处的新型微型管道水轮机性能进行计算,并进行物理模型试验验证.研究结果表明:水轮机内的压力脉动主要受到叶片通过频率和导叶通过频率的影响;在设计流量点处,优化后的水轮机出力为6.30 W,效率为85.13%,与初步设计方案相比,分别提高了32.35%和2.58%.同时研发了智慧农业物联网前端与终端系统,建立一个集自发电、环境监测、远程控制、情况预警、生长状况分析于一体的综合性农业物联网智能管理系统,极大地方便了用户,为实现智能化种植、养殖技术提供了一种切实可行的方案.

Research and application of intelligent agricultural internet of things equipment based on micro-hydro power generation system

In view of the current situation of water resources shortage in China and the low effective utilization rate of agricultural irrigation water. To improve the efficiency and efficiency of agricultural irrigation water, accelerate the research and development and promotion of high-tech intelligent agricultural equipment, and reduce the proportion of agricultural input and agricultural water use. The nume-rical simulation and orthogonal model tests were combined, a four-factor and three-level orthogonal test optimization scheme was formulated, and the performance of the new micro-pipe turbine at the design flow point was calculated for 9 different schemes, and verified by physical model test. The results show that the pressure pulsation in the turbine is mainly affected by the blade passing frequency and the passing frequency of the guide vanes. Under the design flow rate, the optimized output of the turbine is 6.30 W, and the efficiency is 85.13%, which are respectively increased by 32.35% and 2.58% when compared with the preliminary design scheme. At the same time, the front-end and terminal systems of the intelligent agricultural internet of things have been developed, and a comprehensive agricultural Internet of things intelligent management system has been established that integrates self-generation, environmental monitoring, remote control, condition early warning, and growth status analysis, which greatly facilitates users. Intelligent planting and breeding technology provides a practical solution.