Autonomous Seaweed Growth Platform for Dynamic Depth Control
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Solution Overview
Problem
Aquaculture systems face limitations in depth control and nutrient availability, leading to suboptimal growth conditions for marine life, especially seaweed, due to static platforms and near-shore constraints, which result in reduced productivity and vulnerability to environmental stressors.
Innovation Solution
An autonomous or semi-autonomous growth platform that navigates and adjusts depth to optimize light and nutrient exposure, utilizing a propulsion system to traverse currents and adjust depth dynamically based on sensor data and control algorithms, allowing for optimal growth conditions and reducing labor and environmental stress.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If aquaculture systems are moored or anchored to the sea floor, then they provide stable support for marine life, but they are limited to specific depths and require robust moorings that increase system complexity
Solution Approach 1:
The patent applies dynamics by transitioning from static anchored systems to mobile autonomous platforms that can move freely across the water surface and adjust their position dynamically. The platform uses propulsion systems and active control mechanisms to maintain stability and optimize location, eliminating the need for fixed moorings while providing reliable support for marine life at varying depths and locations.
2Ease of operation
If farms are placed near-shore for easy human access, then maintenance and monitoring are easier, but effluent settles on the seafloor damaging local ecosystems and nutrient availability is limited
Solution Approach 1:
The patent applies dimensionality change by moving aquaculture operations from near-shore bottom-fixed locations to open ocean surface-based mobile platforms. This spatial transition allows effluent to disperse in the three-dimensional water column rather than settling on the seafloor, while autonomous navigation and remote monitoring systems maintain ease of operation without requiring frequent human presence at the farm site.
Solution Approach 2:
The autonomous platform incorporates self-service capabilities including automated feeding systems, remote sensing for monitoring marine life conditions, and autonomous navigation to optimal locations. These features reduce the need for frequent human access while maintaining effective maintenance and monitoring operations.
3Productivity
If seaweed farms are raised and lowered manually to optimize growth conditions, then light and nutrient exposure can be adjusted, but the system is limited to a few meters of movement and requires human intervention
Solution Approach 1:
The patent replaces manual mechanical operations with automated electronic and computational systems. The platform uses electric or hydraulic winches controlled by microprocessors and sensors to raise and lower seaweed farms automatically. Control algorithms process data from environmental sensors to autonomously adjust depth for optimal light and nutrient exposure, eliminating the need for manual intervention while expanding the range of motion beyond the few meters possible with hand-operated systems.
Solution Approach 2:
The system incorporates feedback mechanisms where sensors continuously monitor environmental conditions such as light intensity, nutrient concentrations, and seaweed growth status. This data is fed back to the control system, which automatically adjusts the depth positioning of the seaweed farms to optimize growth conditions, creating a closed-loop automated control system that responds dynamically to changing environmental factors.
4Ease of manufacture
If platforms are kept static to simplify structure, then manufacturing is easier, but they cannot navigate to nutrient-rich areas or avoid environmental stressors
Solution Approach 1:
The patent applies dynamics by transforming the platform from a static structure to a mobile autonomous system. The platform incorporates propulsion systems (such as propellers, water jets, or sails), steering mechanisms, and active control systems that enable it to navigate to nutrient-rich areas, follow ocean currents, and avoid environmental stressors like storms or pollution zones. The structure maintains relative simplicity while gaining adaptability through integrated navigation and control systems.
Data Source
AI summary
Methods, systems, and computer-readable media that implement an autonomous or semi-autonomous growth platform used to control live cargo exposures to environmental parameters by changing depth in an offshore environment. For example, the growth platform can be lowered at night so that farmed seaweed can perform luxury uptake of nutrients and raised during the daytime so that the farmed seaweed can capture sunlight.