Watering Schedule Control System Power Status Sensor
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Solution Overview
Problem
Existing irrigation control systems do not effectively modify watering schedules based on power availability and plant health, leading to inefficiencies in water and energy usage.
Innovation Solution
A watering schedule control system that includes a power status sensor, weather sensor, reservoir level sensor, plant wellness sensor, and a self-learning module, which communicate with a controller to dynamically adjust watering schedules based on power availability, weather conditions, water levels, and plant health, allowing for optimized resource management and user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If the controller executes a fixed watering schedule without considering power availability, then the watering schedule is simple to implement, but water and energy usage efficiency deteriorates
Solution Approach 1:
The watering schedule transitions from a fixed static pattern to a dynamic adaptive schedule that automatically adjusts based on real-time power availability sensor data. The controller continuously monitors power status and modifies watering operations accordingly, enabling the system to optimize water and energy efficiency without requiring complex manual reconfiguration.
2Productivity
If the controller modifies watering schedule based on power availability, then water and energy usage efficiency improves, but the device complexity increases
Solution Approach 1:
The system incorporates power availability sensors that continuously monitor battery charge levels and provide feedback to the controller. The controller processes this feedback and automatically adjusts the watering schedule in response, creating a closed-loop control system that optimizes efficiency without requiring complex user intervention or system reconfiguration.
Solution Approach 2:
The controller autonomously manages the watering schedule by self-adjusting based on power availability sensor data. The system performs self-monitoring and self-modification of operations, eliminating the need for external intervention or complex manual programming while maintaining optimized water and energy usage.
3Adaptability or versatility
If the system uses battery power with solar panel recharging, then energy independence improves, but the power management complexity increases
Solution Approach 1:
The power management system incorporates sensors that monitor battery charge levels and provide continuous feedback to the controller. The controller uses this feedback to automatically adjust watering operations based on available power, enabling the system to operate independently from external power sources while maintaining simple automated control rather than complex manual power management.
Data Source
AI summary
A watering schedule control system (200) includes a power source (106), a power status sensor (108) to generate a signal indicative of remaining power with the power source (106), and a controller (204) communicably coupled to the power source (106), and the power status sensor (108). The controller (204) has access to a watering schedule. The controller (204) is configured to receive the signal from the power status sensor (108) and modify the watering schedule based on the received signal.