Analysis of a WSN-based Environmental Monitoring System for Vertical Cultivation in Plant Factories
Date Issued
2011
Date
2011
Author(s)
Chang, Yen-Wei
Abstract
This thesis attempts to deploy wireless sensor nodes to monitor the environment of vertical plant factories. Through wireless sensor networks and measurement of environmental parameters in temperature, humidity and illumination, this application covers a wide range of plants and improve the convenience and flexibility of the monitoring system. Furthermore, the supervisor can set up a great number of sensor nodes to increase the level of accuracy and the range of monitoring, overcoming the drawbacks of wired monitoring systems. In an environmentally controlled chamber where plants grow, the condition of each plant is monitored with a real-time system, and every sensor node sends back the sensing data by turns according to the control of the gateways, which store the data in a database after collecting the data through network. The back-end monitor interface is programmed by LabVIEW, and the supervisor can look up the data by the back-end monitor platform in order to conduct more analyses. As the result of my experiment shows, the temperature, the humidity and the illumination that influence the plants in every growing area vary, and in some of the growing areas significant differences in temperature and moisture are found fully explaining a common idea that there is no considerable change in temperature in greenhouses. We install fan equipment depend on the simulation of the plant factory and improve the temperature field distribution. We install fan equipment depending on the simulation results of the plant factory and make the temperature in the plant factory more evenly distributed. Therefore, the wireless sensor network developed by our team is more efficient to monitor the changes in temperature and moisture in every growing area in the plant factory, providing more accurate data of the growth of plants for the supervisor.
Subjects
wireless sensor network (WSN)
plant factory
remote monitoring
Type
thesis
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