Fontaine Adaptive Sprinkler Controller
A Computer Engineering Senior Project
Jason Christensen and Trevor Christensen
Water is mankind’s most important resource and covers approximately 70% of the planet. Despite this large quantity, only 1% of all water is considered usable and accessible for humans. With a projected population of 11.2 billion people by the year 2100, mankind needs to develop water conservation methods to meet future demands. Because 60% of the average household’s water usage is attributed to irrigation, the greatest benefit may be the development of innovative conservation methods. Current irrigation controllers fail to meet conservation needs due to high costs, complex user experience, and inaccurate modeling.
This project aims to design and develop an intuitive, effective irrigation controller at a competitive price point that reduces the average water consumption for residential irrigation purposes. In order to achieve these goals, the design employs a central controller that communicates with local weather stations, on-site temperature, humidity, and soil moisture sensors, and a user interface. Current and future forecasted conditions are retrieved from weather stations in the area and high-precision soil, temperature, and humidity readings are collected from the on-site sensors. With this data, the controller will predict and schedule optimal watering sessions for each zone. Users will have the ability to monitor activity, manually control the device, and adjust settings via the user interface, which will take the form of a web or mobile application.