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Design And Implementation Of Underwater Three Component Magnetic Gradient Detection System

Posted on:2019-05-13Degree:MasterType:Thesis
Country:ChinaCandidate:Z WangFull Text:PDF
GTID:2370330548476214Subject:Electronic Science and Technology
Abstract/Summary:PDF Full Text Request
Magnetic prospecting mainly uses the magnetic difference between the material to realize the localization and component research of magnetic anomaly,which can raise people's cognition to the Earth and discover the cause of all kinds of natural phenomena of the earth.Magnetic gradient measurement is a kind of technology developed with the application of magnetic prospecting technology,which can obtain more characteristics and details of magnetic anomaly field.The underwater three-component magnetic gradient detection system plays an important role in oceanic research,offshore engineering and marine defense.This article introduces the source of the subject,then takes the research background of the subject,the significance of the topic,the present situation and the development trend of the research at home and abroad as the starting point,and expounds the content of the research and the main goal to be achieved in detail.As the main component of the underwater three-component magnetic gradient detection system,the magnetic sensor is classified and its working mechanism is briefly introduced,and the magnetic output model of the three-component magnetic gradient detection system is analyzed,and the corresponding correction method is deduced.The main work of this article is: The research of three-component magnetic gradient detection mechanism,the design of magnetic gradient detection system,the system testing under different conditions and the design and realization of the algorithm of magnetic gradient correction.The threecomponent magnetic gradient detection mechanism is firstly selected for magnetic sensor and data transmission protocol.Then the principle of magnetic prospecting and the principle of magnetic gradient measurement are introduced.Finally,the system error and its correction model are analyzed according to the practical application of the project.The design of magnetic gradient detection system mainly includes system hardware design and software design.The hardware design includes power circuit,signal processing circuit,network interface circuit and so on,the software design includes the design of the slave computer program and the debugging and monitoring software.The subordinate computer program includes microprocessor resource configuration,high-precision real-time clock implementation,data acquisition and conversion program implementation.The test of this system mainly consists of three parts.The function of the system and the stability of the module are tested by functional test,then the correctness of the test data is verified by the comparison test of the geomagnetic station.Finally,the main purpose of the field test is to verify the reaction of the system to the abnormal magnetic gradient.The particle swarm algorithm,the genetic algorithm and the hybrid algorithm,the least squares method and the theoretical of marine magnetic effect are also introduced in this article.Then the original data after the field test is extracted,the hybrid algorithm is realized and the test data is selftuning.After self-tuning,the least squares method is used for mutual correction.Then the original data after the field test is extracted,the hybrid algorithm is realized and the test data is self-tuning by the algorithm.After self-tuning,the least squares method is used for mutual correction.Finally,the results of the removal of the marine magnetic effect are analyzed to verify the correctness of the system's magnetic gradient correction model and the validity of the correction algorithm.At the end of this article,it summarizes the work that has been done and analyzes some deficiencies of current work,lays a foundation for further research on the subject,and forecasts the research trend of underwater three-component magnetic gradient detection.
Keywords/Search Tags:magnetic sensor, magnetic gradient, particle swarm optimization algorithm, genetic algorithm, marine magnetic effect
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