Ultrasonic Fish Detection via Signal Gradient Analysis
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Solution Overview
Problem
Existing fish detection methods, such as those using ultrasonic waves, face inefficiencies in distinguishing single fish from schools and limitations in accuracy due to high data sampling rates and processing complexities.
Innovation Solution
A method and device that extract maximum and minimum values of reception signals in predetermined cycles to determine the presence of a target object, like a single fish, by calculating the gradient between these values, allowing for accurate detection without the need for high-speed data processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-speed sampling is used to extract rising and falling components from reception signals, then detection accuracy is improved, but data processing complexity and computational load increase significantly
Solution Approach 1:
The invention extracts only the essential features (maximum and minimum values) from the reception signals within each cycle, rather than processing all sampled data points. This selective extraction maintains detection accuracy by capturing the critical signal characteristics while dramatically reducing the data volume requiring further processing.
Solution Approach 2:
Instead of performing complete high-speed sampling and processing of all signal characteristics, the invention applies partial action by focusing only on identifying peak and valley points. This partial processing approach achieves sufficient detection accuracy without the excessive computational burden of analyzing every sampled point.
2Measurement precision
If two kinds of ultrasonic transmission pulses with long and short pulse widths are used to determine single fish, then detection accuracy is improved, but detection efficiency degrades due to increased circuit complexity and multiple wave transmissions
Solution Approach 1:
The invention uses a single ultrasonic transmission pulse repeated at regular intervals, with each pulse's reception signal analyzed for maximum and minimum values. This periodic action approach achieves single fish detection accuracy without requiring multiple different pulse types, thereby maintaining high detection efficiency and simplifying the transmission system.
Solution Approach 2:
A single ultrasonic transmission pulse configuration serves multiple functions: it provides sufficient signal strength for detection and enables single fish identification through analysis of maximum and minimum values in the reception signal. This universal approach eliminates the need for separate long and short pulse width circuits, improving detection efficiency while maintaining accuracy.
3Device complexity
If average value or maximum value processing is applied to reception signals at slower sampling speed, then data processing load is reduced, but accuracy in detecting single fish is limited
Solution Approach 1:
The invention performs preliminary action by identifying and extracting the maximum and minimum values from reception signals before further processing. This pre-extraction of critical signal characteristics reduces the data processing load while preserving the essential information needed for accurate single fish detection, avoiding the accuracy limitations of simple average value processing.
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
This approach enables stable and accurate detection of single fish with reduced data processing complexity, achieving higher accuracy than conventional methods by focusing on the difference between maximum and minimum signal values.
Implementation Method 1
a transducer 11 transmits ultrasonic waves 11a into the water W and receives reflected echo signals 11b
Implementation Method 2
receives reflected echo signals 11b from a target object 11c
Data Source
AI summary
This disclosure provides a target object detection device for outwardly transmitting a detection pulse and detecting a target object based on a returned reception signal. The device includes a first peak holding module for extracting, at every predetermined cycle, a maximum value of the reception signals obtained in the predetermined cycle, a second peak holding module for extracting, at the same predetermined cycle, a minimum value of the reception signals obtained in the predetermined cycle, and a target object determiner for determining a level rising and a level falling of the reception signal indicating the target object by using a gradient between the minimum and maximum values extracted at different peak holding positions.


