Sea-Bottom Crawler EM Detection With Neural Interference Compensation
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Solution Overview
Problem
Existing sea-bottom electromagnetic detection technologies suffer from insufficient detection accuracy due to interference factors such as water depth, temperature, salinity, and crawler pose changes, leading to distorted reflected waves and reduced signal quality.
Innovation Solution
An electromagnetic detection system using a sea-bottom crawler equipped with a transmitting antenna, receiving node array, control chip, and power supply, which includes an interference compensation device to eliminate and compensate for interference in reflected waves using a multilayer neural network model that adapts to real-time environmental and pose data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional electromagnetic detection methods are used in complex underwater environments, then detection coverage is achieved, but detection accuracy deteriorates due to interference factors
Solution Approach 1:
The patent applies interference compensation technology that converts harmful interference factors into beneficial information. By using neural networks to learn and model the interference patterns from water depth, temperature, salinity, and crawler pose changes, the system transforms these previously harmful distortions into correctable signals, thereby improving detection accuracy in complex underwater environments
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring environmental parameters (water depth, temperature, salinity) and crawler pose information, then using this feedback to dynamically adjust and compensate for interference in real-time. The neural network processes this feedback information to optimize the compensation model, creating a closed-loop system that continuously improves detection accuracy
2Measurement precision
If multiple interference factors are compensated simultaneously, then detection accuracy is improved, but system complexity increases
Solution Approach 1:
The patent employs a universal neural network compensation model that handles multiple types of interference factors (water depth, temperature, salinity, crawler pose) through a single integrated system. This multi-functional approach avoids the need for separate compensation mechanisms for each interference type, thereby improving detection accuracy while controlling system complexity through consolidation
Solution Approach 2:
The system changes parameters by using neural networks to dynamically adjust compensation parameters based on real-time environmental conditions and crawler pose. Instead of fixed compensation values, the system adapts parameters continuously, allowing accurate compensation for multiple interference factors simultaneously without requiring overly complex hardware modifications
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 effectively suppresses interference factors, enhancing detection accuracy by comprehensively analyzing and compensating for various interferences, achieving improved data quality and reliability.
Implementation Method 1
By emitting electromagnetic waves and receiving reflected waves, sea-bottom geological information can be obtained
Implementation Method 2
By emitting electromagnetic waves and receiving reflected waves, sea-bottom geological information can be obtained
Data Source
AI summary
The invention provides an electromagnetic detection system based on a sea-bottom crawler, belonging to the field of geophysical exploration technology, comprising: a survey vessel, a sea-bottom crawler, a transmitting antenna, a receiving node array, a control chip, and a power supply; the survey vessel is connected to the sea-bottom crawler through a traction rope, and the tail of the sea-bottom crawler is provided with a drag cable, on which the transmitting antenna and the receiving node array are mounted, and both the control chip and the power supply are configured in the integrated electronic cabin of the sea-bottom crawler; the power supply provides electrical energy to the sea-bottom crawler, transmitting antenna, receiving node array, and control chip, and the control chip is electrically connected to the transmitting antenna, the receiving node array, and the power system of the sea-bottom crawler; the control chip is configured to have an electromagnetic detection interference compensation module for performing interference elimination and compensation on reflected waves received by the receiving node array. It solves the technical problem of insufficient detection accuracy in existing technologies.