Ecosystem Mist Control for Biodiversity Optimization
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Solution Overview
Problem
Existing techniques for controlling mist spraying in ecosystems, such as PTL 1 and PTL 2, do not consider biodiversity and are primarily based on monoculture, failing to address the growing demand for achieving desired levels of biodiversity which is essential for various ecosystem services.
Innovation Solution
A control device and program that adjust mist spraying based on diversity information related to biodiversity, including plant, microbial, and insect species, using sensors and a control unit to optimize spray frequency, amount, and direction according to target biodiversity levels, employing learning models and evaluation scores to dynamically adjust spraying parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If mist spraying is controlled based on monoculture parameters (temperature, soil moisture), then plant water needs are met, but biodiversity is not considered and ecosystem balance is compromised
Solution Approach 1:
The control device segments the ecosystem into multiple monitoring zones, each with its own biodiversity characteristics. Sensors are distributed to monitor different species groups (plants, microorganisms, insects) in separate regions, allowing targeted mist spraying decisions that consider biodiversity variations across the ecosystem.
Solution Approach 2:
The system dynamically adjusts mist spraying parameters based on real-time biodiversity monitoring data. The control algorithm continuously updates spraying decisions to maintain biodiversity within target ranges, adapting to changing ecosystem conditions and species interactions.
2Adaptability or versatility
If mist spraying is increased to support diverse species, then biodiversity is enhanced, but water consumption and energy use increase
Solution Approach 1:
The system applies mist spraying with locally optimized parameters to different ecosystem zones based on their specific biodiversity needs. Each zone receives customized spraying intensity and timing tailored to its dominant species requirements, avoiding uniform over-spraying across the entire ecosystem.
Solution Approach 2:
The control device applies partial mist spraying actions only to zones or species that require additional moisture, rather than uniformly spraying the entire ecosystem. This selective approach maintains biodiversity while minimizing overall water and energy consumption.
3Measurement precision
If biodiversity monitoring and control systems are expanded, then ecosystem management capability is improved, but device complexity increases
Solution Approach 1:
The control device is designed as a multi-functional integrated system that simultaneously monitors temperature, soil moisture, and biodiversity parameters while controlling mist spraying. This universal approach consolidates multiple functions into a single device, managing complexity through integration rather than proliferation of separate components.
Solution Approach 2:
The system implements feedback loops where biodiversity monitoring data continuously informs spraying control decisions. Sensors detect ecosystem state changes, the controller processes this information against target biodiversity ranges, and adjusts spraying accordingly, creating a self-regulating system that manages complexity through automated feedback mechanisms.
Data Source
AI summary
The present technology relates to a program, a control device, and a control method that can assist in achieving desired biodiversity. Mist spraying to an ecosystem is controlled according to diversity information related to biodiversity of an ecosystem and target information related to biodiversity set as a target. The present technology can be applied to a spray system that sprays mist for example in a field.