Aquarium Habitat Control for Synchronized Environmental Conditions
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Solution Overview
Problem
Existing habitats for organisms, such as aquariums, operate devices like pumps, filters, and lighting systems independently, lacking a coordinated control system to mimic natural environmental conditions.
Innovation Solution
A system comprising a server, bridge, and habitat components with communication units and microprocessors to synchronize and control environmental conditions, allowing for integrated management of devices like pumps and lighting units.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If devices (pumps, filters, lighting systems) operate independently in existing habitats, then each device can function autonomously, but the habitat cannot mimic natural environmental conditions through coordinated control
Solution Approach 1:
The patent introduces a controller as an intermediary device that receives sensor data from multiple independent devices (pumps, filters, lighting systems) and coordinates their operation. The controller acts as a mediator that processes environmental data and sends coordinated control signals to multiple devices, enabling them to work together to mimic natural environmental conditions while maintaining their individual autonomous functions.
Solution Approach 2:
The controller serves multiple functions simultaneously: it monitors environmental parameters, processes sensor data, determines optimal operating conditions, and controls multiple different types of devices. This multi-functional approach allows a single device to coordinate the entire habitat system, enabling complex coordinated control without proportionally increasing system complexity.
2Reliability
If a coordinated control system is implemented to synchronize habitat devices, then natural environmental conditions can be mimicked, but the system complexity increases
Solution Approach 1:
The system implements feedback loops where sensors continuously monitor environmental parameters (temperature, humidity, light levels) and relay data to the controller. The controller processes this feedback information and adjusts device operation accordingly, creating a closed-loop control system that reliably maintains coordinated environmental conditions while using simple proportional control algorithms rather than complex predictive models.
Solution Approach 2:
The controller autonomously processes sensor data and determines optimal operating conditions without requiring external intervention. The system self-regulates by continuously monitoring environmental parameters and automatically adjusting device operations, which improves reliability of coordinated control while minimizing the need for complex external control infrastructure.
Data Source
AI summary
An aquarium has a controlled an aquatic habitat. The aquarium for includes a server, a user interface and an aquarium component. The server includes a database containing information associated with a aquarium component. The server also includes a communication interface for transmitting operating data for the aquarium component.


