S. D. Yusuf, Salam-Layode Dupe Comfort, I. Umar, A. Loko
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引用次数: 1
摘要
目的:利用Blynk Mobile App模拟构建太阳能智能灌溉系统。研究设计:通过模拟研究和物联网进行实验设计。学习地点和时间:尼日利亚纳萨拉瓦州立大学物理系,2021年7月至2022年3月。方法:采用Proteus ISIS Version 8.6对系统进行仿真。它由两个主要单元组成,即发射机和接收机。变送器由一个传感器电路组成,可以感知土壤湿度、湿度和温度。然后由Node单片机采集数据并发送给Blynk移动应用(Receiver)。该电路在两种不同的土壤条件下进行了测试;湿土和干土。结果:对土壤水位(Moisture)较高时的输出性能进行分析,温度值28.3℃,湿度72%,泵处于OFF状态。当土壤水位较温和时,温度为60℃,湿度68%,开启水泵。只要蓄水池有足够的水,泵就会被激活,开关就会打开,当土壤中的水分达到所需水平时,泵就会关闭。太阳能确保了持续的电力供应,而Blynk移动应用程序确保了农民即使在远离农场的情况下也能实时监控数据。结论:该系统是一种节水、低用电、高效监测、提高农民产量的改良灌溉系统。
Simulation and Construction of a Solar Powered Smart Irrigation System Using Internet of Things (IoT), Blynk Mobile App
Aims: To simulate and construct a solar powered smart irrigation system using Blynk Mobile App.
Study Design: Experimental design through simulation studies and internet of things.
Place and Duration of Study: Department of Physics, Nasarawa State University Keffi, Nigeria, between July 2021 and March 2022.
Methodology: The system was simulated using Proteus ISIS Version 8.6. It consists of two main units that is transmitter and receiver. The transmitter consists of a sensor circuit that senses the soil moisture, humidity and temperature. Then the Node MCU microcontroller collects the data and sent to the Blynk Mobile App (Receiver). The circuit was tested at two different conditions of the soil; Wet soil and Dry soil.
Results: Output performance analysis when the water level in soil (Moisture) was high, indicated Temperature value 28.3°C, Humidity 72%, and the Pump was OFF. When the water level in soil was mild, temperature was 60°C, Humidity 68%, and pump was turned ON. The pump is activated to switch ON as far as the water reservoir is having enough water and will switch OFF when the required level of moisture in the soil is achieved. The solar power ensured constant power supply, while the Blynk Mobile App ensured real time data monitoring by the Farmer even when he is far away from the farm.
Conclusion: This system is an improve irrigation system that supports low water and electricity consumption as well as efficient monitoring for increase farmers’ output.