Automated Irrigation Controller Using Sensor Fusion
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Solution Overview
Problem
Current irrigation systems do not account for location-specific data such as soil conditions, weather, and occupancy, leading to inefficient and wasteful watering practices.
Innovation Solution
An automated irrigation system that receives data from sensors and cameras via wireless communication to determine the optimal amount of water to discharge based on soil moisture, weather, and occupancy, adjusting the irrigation schedule accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If current irrigation systems are programmed by users to water on certain days and times, then the system is simple to operate, but it does not account for location-specific data such as soil conditions, weather, and occupancy, leading to inefficient water usage
Solution Approach 1:
The system continuously monitors location-specific parameters (soil moisture, weather conditions, occupancy status) and uses this feedback to dynamically adjust irrigation schedules. Sensors provide real-time data about soil moisture levels, weather forecasts indicate upcoming precipitation, and occupancy detection systems report whether people are present, allowing the controller to optimize water discharge decisions based on current conditions rather than following fixed predetermined schedules
Solution Approach 2:
The irrigation system integrates multiple functions into a single unified platform: environmental sensing (soil moisture, temperature, humidity), weather data acquisition, occupancy detection, automated scheduling, and water discharge control. This multi-functional approach consolidates what would otherwise require separate systems into one integrated solution that comprehensively manages irrigation based on diverse inputs
2Loss of energy
If the irrigation system uses multiple sensors and cameras to gather location-specific data, then water usage efficiency is improved, but the device complexity increases
Solution Approach 1:
The system combines multiple sensing functions (soil moisture sensing, weather monitoring, occupancy detection via camera and motion sensors) into an integrated network of components that communicate with a central controller. Rather than operating as separate independent systems, these components are merged into a unified data collection and control architecture that processes information from all sources to make coordinated irrigation decisions
Solution Approach 2:
The system autonomously monitors its own operational conditions through embedded sensors and automatically adjusts irrigation schedules without requiring manual intervention. The controller self-regulates water discharge based on real-time sensor data, weather forecasts, and occupancy status, eliminating the need for users to manually program or adjust settings while maximizing water efficiency
3Productivity
If the system determines the optimal amount of water to discharge based on multiple factors, then irrigation efficiency is improved, but the complexity of determining and controlling the discharge increases
Solution Approach 1:
The irrigation system transitions from static predetermined schedules to dynamic adaptive control where water discharge parameters continuously adjust based on real-time conditions. The controller dynamically modifies irrigation timing, duration, and amount in response to changing soil moisture levels, weather conditions, and occupancy patterns, allowing the system to optimize irrigation efficiency adaptively rather than following fixed routines
Data Source
AI summary
A method for managing an irrigation schedule is described. Data related to soil at a location may be received from a first sensor by way of a first wireless communication. Data related to weather at the location may be received from a second sensor by way of a second wireless communication. At least one video frame of the location may be received from a camera located within a predetermined distance from the location by way of a third wireless communication. An amount of liquid to discharge at the location may be determined based at least in part on the received data and the received video frame. A discharge of the determined amount of liquid at the location may be activated.