Robotic Watering Unit Zone Management

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Solution Overview

Problem

Conventional irrigation systems are inadequate for yards and gardens with multiple plant species, as they rely on single water sources and evapotranspiration models, failing to account for varying water needs and restrictions, leading to inefficient watering practices.

Innovation Solution

A robotic watering system that uses a processing unit to determine water needs, generate a water application plan, and execute it using a mobile utility vehicle, taking into account current constraints and plant-specific requirements, while managing water sources and restrictions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If conventional irrigation systems use single water sources and evapotranspiration models, then the system is simple, but it fails to account for varying water needs of different plant species and leads to inefficient watering

Engineering Contradiction:
Improveability to accommodate varying water needs of different plant speciesVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system divides the garden into multiple zones based on plant species and water needs. Each zone can be watered independently according to its specific requirements, allowing different plant species to receive appropriate water amounts while managing overall system complexity through modular zone management

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system implements location-specific watering strategies where each zone has customized watering schedules and amounts based on local plant requirements. This allows high-water-need plants like trees to receive more water than low-water-need plants like shrubs, optimizing water distribution for heterogeneous plant environments

Inventive Principle:
Principle #3Local quality

2Loss of substance

If the system implements detailed plant-specific watering plans, then water use efficiency improves, but the complexity of managing water sources and restrictions increases

Engineering Contradiction:
Improvewater wasteVSAvoidwater management complexity
Core Design Contradiction:
Loss of substanceVSDevice complexity

Solution Approach 1:

The system pre-calculates and stores optimized watering schedules for different plant zones based on their water needs and local conditions. This preliminary planning allows the system to execute efficient watering plans automatically without real-time complex decision-making, reducing water waste while managing operational complexity

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system incorporates feedback mechanisms that monitor actual plant conditions and adjust watering plans accordingly. By continuously monitoring soil moisture, plant health, and environmental factors, the system optimizes water use efficiency while managing complexity through automated feedback-driven adjustments rather than manual reconfiguration

Inventive Principle:
Principle #23Feedback

3Ease of operation

If the system waters all plants uniformly, then the operation is simple, but it cannot accommodate water restrictions and varying plant requirements

Engineering Contradiction:
Improveoperation simplicityVSAvoidadaptability to water restrictions and plant-specific needs
Core Design Contradiction:
Ease of operationVSAdaptability or versatility

Solution Approach 1:

The system dynamically adjusts watering schedules and amounts based on real-time conditions including water restrictions, plant species, and environmental factors. This dynamic adaptation allows the system to maintain operational simplicity through automated adjustments while achieving high adaptability to varying water needs and restrictions

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS8322072B2Robotic watering unit
Publication Date: 2012.12.04 DEERE & CO
  • US8322072B2 patent drawing
  • US8322072B2 patent drawing
  • US8322072B2 patent drawing

AI summary

The different illustrative embodiments provide a method and system for watering plants. A map of an area is received and a determination is made using a processing unit as to whether the area needs water. If the area needs water, current constraints are identified and a determination is made using the processing system as to whether the current constraints allow for watering. If the current constraints allow for watering, a watering solution application plan is generated using the processing system, and the watering solution application plan is executed using a mobile utility vehicle.