Hybrid Distributed Hydroculture System Modular Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current hydroculture systems face challenges in optimizing plant growth and resilience, particularly in controlled environments, due to limitations in disease containment, resource efficiency, and adaptability across different plant stages and environments.
Innovation Solution
A hybrid distributed hydroculture system with modular growing chambers, networked controls, and cloud-based communication protocols that allow for customizable growing parameters and seed cartridges, enabling a transition from hydroponics to aeroponics based on plant growth stages and environmental conditions, while minimizing disease spread and resource waste.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a distributed modular hydroculture system is used, then disease containment and crop failure mitigation are improved, but system complexity increases
Solution Approach 1:
The system divides the hydroculture environment into multiple isolated modular chambers, each containing its own ecosystem. This segmentation prevents disease from spreading across the entire system while maintaining independent control over each module's growing conditions
Solution Approach 2:
A centralized control system manages multiple modular chambers through standardized interfaces and protocols. The control architecture provides universal functionality across diverse modules, handling monitoring, actuation, and data processing uniformly despite the segmented physical structure
2Productivity
If hybrid hydroculture transitioning from hydroponics to aeroponics is used, then plant growth optimization is improved, but device complexity increases
Solution Approach 1:
The system dynamically transitions between hydroponic and aeroponic modes based on plant growth stage and environmental conditions. Growers can adjust the water-to-air ratio in real-time, allowing the system to adapt its delivery mechanism from submerged hydroponics to mist-based aeroponics as plants mature
Solution Approach 2:
The system changes key operational parameters including water delivery frequency, mist concentration, and root zone humidity levels to optimize growth at different stages. Early-stage plants receive continuous water immersion while mature plants transition to periodic misting with controlled humidity
3Productivity
If customized growing parameters for each plant stage are used, then plant growth optimization is improved, but control system complexity increases
Solution Approach 1:
The system includes pre-configured growing profiles and algorithms that automatically adjust parameters based on plant stage. These preliminary configurations handle complex decision-making in advance, reducing the real-time control burden while maintaining optimized growing conditions for each development phase
Solution Approach 2:
Sensors continuously monitor environmental conditions including humidity, temperature, and plant health metrics. This feedback loops back to the control system which automatically adjusts growing parameters to maintain optimal conditions, reducing manual intervention despite the complexity of multi-stage optimization
4Reliability
If modular growing chambers with dedicated reservoirs are used, then disease containment is improved, but resource efficiency decreases
Solution Approach 1:
Each modular chamber has its own dedicated reservoir and nutrient solution, physically isolating potential pathogens to specific modules. This segmentation prevents cross-contamination between chambers while maintaining independent resource management for each growing environment
Data Source
AI summary
Described herein are techniques for a hybrid distributed hydroculture system. A set of growing profiles is stored, wherein each growing profile defines a set of growing parameters for a type of plant. Data is received that is indicative of a growing profile being associated with a plant growing unit in communication with the computing device. A set of growing parameters is transmitted from the growing profile to the plant growing unit so that the plant growing unit can execute the growing parameters to grow a plant that is planted in the plant growing unit. Sensor data is received from the plant growing unit indicative of data from one or more sensors locally installed at the plant growing unit. The set of growing parameters is customized based on the sensor data from the plant growing unit to customize the parameters for the plant environment.