Research Area: Internet of Things
In order to make the greenhouse environment monitoring system more intelligent, a remote monitoring system design scheme for the greenhouse environment is proposed. The scheme is based on the Internet of Things technology and STM32 microprocessor is set as the central control foundation. The relevant sensors are used to collect various environmental parameters, such as light, temperature and humidity required by crops in real time. The data is uploaded by using the NB-IOT communication module and the edge computing nodes are set to assist the cloud platform in anomaly detection. And then the ARIMA model is used to predict the change trend of environmental parameters, the test results are displayed on the terminal platform to monitor and manage the greenhouse planting environment. Experiments show that the system can make comprehensive analysis based on the collected relevant data, and take reasonable measures when it is necessary. It has good practicality and economy. In addition, it also has the advantages of low power consumption, real-time transmission, remote monitoring, etc., which reduces the workload for the staff.
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Author(s) Name: Xiaolei Chen; Xingxing Wang; Haoyang Shen
Journal name:
Conferrence name: IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)
Publisher name: IEEE
DOI: 10.1109/IAEAC50856.2021.9390671
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