Sensor-Assisted Indoor Gardening Zone Control
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Solution Overview
Problem
Growing organic produce indoors is challenging due to varying environmental conditions such as air quality, temperature, and sunlight availability within a property, making it difficult to maintain a suitable environment for plant growth.
Innovation Solution
A sensor-assisted monitoring system that uses processors and sensors to determine the current environmental conditions and adjusts them using configurable devices like HVAC units, blinds, and humidification units to create a suitable environment for specific plant types, ensuring optimal growth conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If environmental conditions are monitored and adjusted using sensor-assisted systems, then the success rate of indoor gardening is improved, but the device complexity and cost increase
Solution Approach 1:
The system divides the indoor space into multiple zones with different environmental characteristics (lighting, temperature, humidity). Each zone can be independently monitored and adjusted, allowing the complex task of maintaining multiple plant types to be broken down into manageable segments. This segmentation enables targeted environmental control without requiring a single complex system to manage the entire space.
Solution Approach 2:
The monitoring system is designed to handle multiple plant types and multiple environmental parameters (temperature, humidity, light) through a single integrated platform. The system can identify different plant types and automatically adjust appropriate environmental controls for each, providing universal functionality that reduces the need for separate specialized systems for each plant type.
2Manufacturing precision
If multiple sensors and configurable devices are deployed to control environmental conditions, then the environmental control precision is improved, but the ease of operation deteriorates
Solution Approach 1:
The system automatically identifies plant types using image recognition technology and self-configures the appropriate environmental parameters and thresholds without requiring user input. The monitoring system autonomously adjusts temperature, humidity, and lighting based on the detected plant type, eliminating the need for users to manually configure complex settings while maintaining high environmental control precision.
Solution Approach 2:
The system continuously monitors environmental conditions using sensors and compares actual values against target thresholds. When deviations are detected, the system automatically triggers adjustments through configurable devices (HVAC, lighting, humidification) and continues monitoring to ensure the desired conditions are achieved, providing closed-loop control that maintains precision without user intervention.
3Loss of time
If automated monitoring and adjustment operations are implemented, then the time required for maintaining optimal growing conditions is reduced, but the use of energy increases
Solution Approach 1:
The system employs periodic monitoring of environmental conditions rather than continuous operation of all devices. Sensors take measurements at intervals, and configurable devices are activated only when threshold deviations are detected, rather than running continuously. This periodic operation maintains optimal growing conditions while significantly reducing energy consumption compared to continuous operation.
Solution Approach 2:
The system adjusts environmental conditions locally in specific zones where plant needs are not met, rather than uniformly conditioning the entire space. For example, if only one zone requires additional lighting or temperature adjustment, only that local area is modified. This targeted approach maintains precise environmental control for plants while minimizing overall energy consumption.
Data Source
AI summary
Methods, systems, and apparatus, includes computer programs encoded on a storage device, for sensor-assisted indoor gardening. In one aspect, a monitoring system is disclosed that includes a processor and a computer storage media storing instructions that, when executed by the processor, cause the processor to perform operations. The operations may include determining that a particular plant type is growing in a zone of a property, determining, based on sensor data generated by one or more sensors installed at the property, whether a current value of an environmental attribute of the zone of the property satisfies a threshold environmental value for the particular plant type, and performing, by the monitoring system, one or more operations configured to instruct a configurable device installed at the property to modify the current value of the environmental attribute of the zone of the property towards the threshold environmental value for the plant type.