Magnetic Gradiometer Design via Dynamic Array Reconfiguration
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Solution Overview
Problem
Existing magnetic gradiometer designs are uncertain about detection errors due to unknown or uncontrollable attitudes and directions of magnetic targets, and lack systematic consideration of influencing parameters, leading to performance uncertainties and reduced usability.
Innovation Solution
A method is developed to establish a complete simulation model for magnetic detection, considering all attitudes and directions of magnetic targets, and analyzing the synergistic effects of various influencing parameters to optimize the design of magnetic gradiometers for high performance and cost-efficiency, involving a magnetic detection model, direction-attitude-sphere model, and adjustment of parameters like signal intensity, sensor resolution, and noise levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the magnetic gradiometer is designed to detect magnetic targets with unknown or uncontrollable attitudes and directions, then the detection coverage is improved, but the detection accuracy becomes uncertain due to blind zones
Solution Approach 1:
The patent applies dynamics by making the array form adjustable and reconfigurable rather than fixed. The magnetic sensor array can dynamically change its geometric configuration to adapt to different detection scenarios and target orientations, allowing the system to maintain optimal detection accuracy across various attitudes and directions of magnetic targets while eliminating blind zones through adaptive reconfiguration
Solution Approach 2:
The patent utilizes parameter changes by varying the baseline distance and array form parameters based on detection requirements. By adjusting these geometric parameters dynamically, the system can optimize detection accuracy for different target configurations and orientations, resolving the contradiction between broad detection coverage and maintained precision across all angles
2Measurement precision
If the baseline distance is increased to improve calculation accuracy, then the detection accuracy is improved, but the device complexity and cost increase
Solution Approach 1:
The patent applies dynamics by implementing an adjustable baseline distance that can be reconfigured based on detection needs. Rather than using a fixed large baseline that increases complexity, the system dynamically adjusts the baseline to the minimum necessary length for each detection scenario, achieving required accuracy while minimizing device complexity and cost
Solution Approach 2:
The patent utilizes parameter changes by optimizing the baseline distance parameter according to specific detection requirements. The system can change the baseline parameter adaptively, using longer baselines only when necessary for specific accuracy requirements and shorter baselines for other scenarios, thus balancing accuracy improvement with complexity control
3Measurement precision
If high-resolution magnetic sensors are used to improve detection accuracy, then the measurement precision is improved, but the cost of the magnetic gradiometer increases
Solution Approach 1:
The patent applies dynamics by implementing an adaptive sensor resolution strategy where the array form and baseline distance are dynamically adjusted to compensate for lower sensor resolution. This allows the use of cost-effective, lower-resolution sensors while maintaining high detection accuracy through real-time geometric reconfiguration that optimizes the detection configuration for each measurement
Solution Approach 2:
The patent utilizes parameter changes by adjusting the array form and baseline distance parameters to compensate for variations in sensor resolution. The system can change these geometric parameters to optimize detection performance, allowing lower-cost sensors to achieve the same effective accuracy as higher-resolution sensors would provide in a fixed configuration
Data Source
AI summary
Provided is a method for designing a magnetic gradiometer based on the combined influence of multiple influencing parameters. The method takes into consideration of synergetic interaction of the influencing parameters on the performance of a magnetic gradiometer. It analyzes detection errors within the entire zone of all possible directions and attitudes of a magnetic target under the influence of various influencing parameters, uses the detection accuracy and detection success rate to measure the performance of the magnetic gradiometer accurately and objectively, and finally obtains the influence rule of the influencing parameters on the performance of the magnetic gradiometer. Based on the knowledge of the combined influence of multiple influencing parameters, the magnetic gradiometer can be designed to have high detection accuracy and success rate and high cost-efficiency.