Smart Irrigation Controller Adaptive Threshold Soil Moisture

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Solution Overview

Problem

Existing irrigation systems face challenges in setting appropriate watering thresholds to minimize water usage while maintaining plant health, as determining soil field capacity is time-consuming, expensive, and not very accurate using traditional methods.

Innovation Solution

A smart irrigation controller coupled with sensors measures dynamic soil moisture responses to determine field capacity and set adaptive thresholds for efficient water use, optimizing water efficiency, plant growth, and minimizing runoff and groundwater contamination.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional soil sampling methods are used to determine field capacity, then field capacity data can be obtained, but the process is time-consuming, expensive, and not particularly accurate

Engineering Contradiction:
Improvefield capacity measurement accuracyVSAvoidtime required for soil sampling
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces traditional mechanical soil sampling methods with electromagnetic sensing technology. Soil moisture sensors using electromagnetic fields continuously measure soil moisture content at multiple depths, eliminating the need for physical soil extraction and laboratory analysis. This substitution provides real-time, automated field capacity determination that is both faster and more accurate than traditional sampling.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The irrigation system performs self-determination of field capacity by continuously monitoring soil moisture dynamics. The system automatically identifies field capacity conditions through sensor data analysis, eliminating the need for external soil testing services. The controller learns and adapts to site-specific soil characteristics over time, providing ongoing accurate measurements without repeated manual sampling.

Inventive Principle:
Principle #25Self-service

2Loss of energy

If irrigation thresholds are set to minimize water usage, then water efficiency improves, but plant health may be compromised

Engineering Contradiction:
Improvewater usage efficiencyVSAvoidplant health maintenance
Core Design Contradiction:
Loss of energyVSReliability

Solution Approach 1:

The patent implements dynamic irrigation thresholds that automatically adjust based on real-time soil moisture conditions, plant water requirements, and environmental factors. Rather than using fixed conservative thresholds, the system continuously optimizes irrigation timing and duration to apply water precisely when and where needed, maintaining plant health while minimizing water waste through evaporative loss and deep percolation.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system uses continuous feedback from soil moisture sensors to adjust irrigation decisions. The controller monitors soil moisture levels, compares them against dynamically determined thresholds, and automatically initiates or terminates irrigation events. This closed-loop control ensures water is applied to maintain optimal plant health conditions while avoiding over-irrigation, achieving both water efficiency and plant health goals.

Inventive Principle:
Principle #23Feedback

3Reliability

If irrigation thresholds are set to maintain plant health, then plant health is maintained, but water usage increases

Engineering Contradiction:
Improveplant health maintenanceVSAvoidwater consumption
Core Design Contradiction:
ReliabilityVSLoss of energy

Solution Approach 1:

The system performs preliminary determination of field capacity and soil characteristics before establishing irrigation schedules. By pre-characterizing the soil's water holding capacity and drainage properties, the system can set appropriate thresholds that maintain plant health without excessive water application. This preliminary analysis enables proactive water management that prevents both water deficiency and water waste.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent changes the parameter of irrigation threshold from a fixed conservative value to a dynamically adjusted value based on measured soil properties and plant needs. The system modifies threshold parameters in real-time based on soil moisture dynamics, environmental conditions, and irrigation history, allowing optimal water application that maintains plant health while minimizing consumption through precise parameter control.

Inventive Principle:
Principle #35Parameter changes

4Reliability

If excessive irrigation is applied to ensure plant health, then plant health is maintained, but runoff and groundwater contamination increase

Engineering Contradiction:
Improveplant health maintenanceVSAvoidrunoff and groundwater contamination
Core Design Contradiction:
ReliabilityVSObject-generated harmful factors

Solution Approach 1:

The patent applies the principle of avoiding excessive action by using partial irrigation applications timed to soil absorption capacity. Rather than applying large volumes of water that exceed soil infiltration rates and cause runoff, the system uses multiple smaller irrigation events that match soil uptake capacity. This ensures plant health needs are met through cumulative water application without generating harmful runoff or contaminating groundwater.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS8862277B1Automatic efficient irrigation threshold setting
Publication Date: 2014.10.14 GREEN BADGE LLC
  • US8862277B1 patent drawing
  • US8862277B1 patent drawing
  • US8862277B1 patent drawing

AI summary

A method and system for monitoring the dynamic response of soil moisture and setting a threshold in relation to the field capacity of a soil area is disclosed herein. By measuring the dynamic response of soil moisture under wet soil conditions, one can determine a practical field capacity for the soil, in-situ, based solely on the soil moisture sensor output. Essentially, by looking at how the soil moisture level varies with time one can determine the field capacity.