Systém pro monitorování a řízení skleníku s dálkovým přenosem dat

Abstract

The aim of this thesis is to design, analyze, and implement a solution that provides monitoring of meteorological data and enables automatic control of the greenhouse indoor environment (irrigation, supplemental lighting, and ventilation) using data from a local weather station and additional sensors (air temperature and humidity inside the greenhouse, and soil moisture). The solution performs local processing of meteorological data on a node located at the greenhouse and transfers the data wirelessly to a remote node. Communication between the nodes is implemented using LoRa technology in direct point-to-point (P2P) mode, while the remote node also provides a local user interface and obtains additional meteorological information from an online service. Based on measured values and the weather forecast, the system evaluates the current conditions and generates control commands for the actuators for the next 24 hours, which are then sent back to the greenhouse node. The design is guided by the requirement for off-grid operation and safe behavior in the event of communication failure.