Aquaponic Nitrogen Early Warning via Fish Behavior Analysis
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Solution Overview
Problem
Existing nitrogen detection methods in aquaponic systems are inefficient, prone to interference, and fail to provide timely warnings for toxic nitrogen levels, leading to potential harm to fish and vegetables.
Innovation Solution
An early warning system using computer vision technology that monitors the behavior of sensitive fish, processing video data with object detection models to analyze movement and tail wagging activities, and utilizes a neural network model to predict nitrogen concentrations, enabling rapid and accurate detection and warning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If electrochemical sensor method is used for nitrogen detection, then operation simplicity is improved, but service life is shortened and reliability deteriorates due to electrode pollution and frequent replacement needs
Solution Approach 1:
The patent replaces the electrochemical sensor method with a spectral analysis method using optical spectrum instruments. This substitution eliminates the mechanical/electrochemical electrodes that get polluted, using optical fields instead to detect nitrogen concentration through spectral characteristics, thereby resolving the contradiction between operational simplicity and service life/reliability
Solution Approach 2:
The patent introduces spectral analysis as an intermediary measurement approach. Instead of direct electrochemical contact with the water, the system uses optical spectrum instruments to measure wavelength and intensity of radiation generated by nitrogen and its derivatives, serving as an indirect but reliable measurement medium that avoids electrode pollution
2Measurement precision
If spectral detection method using optical spectrum instrument is used, then sensitivity and operability are improved, but anti-interference capability deteriorates due to interference from other ions and water colors
Solution Approach 1:
The patent segments the spectral detection process into multiple wavelength measurements and intensity analyses. By measuring specific wavelength ranges and their corresponding intensities separately, the system can distinguish nitrogen's spectral signature from interfering substances, resolving the contradiction between sensitivity and anti-interference capability
Solution Approach 2:
The patent utilizes the spectral characteristics (color changes in the optical spectrum) of nitrogen and its derivatives. By analyzing specific wavelength intensities and patterns in the optical spectrum, the system identifies nitrogen concentration while distinguishing it from other interfering ions and water colors through their unique spectral fingerprints
3Measurement precision
If traditional nitrogen detection methods are used, then detection capability is achieved, but detection speed is slowed and timely early warning is lost
Solution Approach 1:
The patent implements continuous spectral monitoring of nitrogen concentration in the aquaponic system. The optical spectrum instrument continuously measures spectral parameters, enabling real-time detection and immediate early warning when nitrogen levels become toxic, resolving the contradiction between detection capability and detection speed
Solution Approach 2:
The patent establishes preliminary spectral baseline data for normal nitrogen levels and sets threshold warnings in advance. By pre-configuring detection criteria and continuously monitoring against these benchmarks, the system achieves both accurate detection capability and rapid response speed for timely early warning
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system provides real-time, non-contact monitoring of nitrogen levels, reducing the risk of toxic nitrogen accumulation and ensuring the health and growth of farmed fish, with low operational and maintenance costs, and high reliability compared to traditional methods.
Implementation Method 1
An early warning system using computer vision technology that monitors the behavior of sensitive fish, processing video data with object detection models to analyze movement and tail wagging activities
Implementation Method 2
processing the behavior activity using a neural network model to obtain a nitrogen concentration grade of the farming pond of the aquaponic system
Data Source
AI summary
The present disclosure provides an early warning method, apparatus, and system for a nitrogen concentration in industrialized aquaponic circulating water. The early warning method includes: obtaining video data of a sensitive fish farming container, where the video data includes a monitored movement behavior of a sensitive fish in the sensitive fish farming container, and the sensitive fish farming container is in communication with a farming pond of an aquaponic system; processing the video data using an object detection model and obtaining a behavior activity of the sensitive fish according to a processing result; processing the behavior activity using a neural network model to obtain a nitrogen concentration grade of the farming pond of the aquaponic system; and determining whether to send nitrogen concentration early warning information based on the nitrogen concentration grade.