Study On Control Methods Of Polarized Light Detectors For Deep-sea Particulate Matter

The particulate matter in the deep sea,as an important component of the deep sea environment,has opened a door for human exploration of the deep sea.The development of deep-sea sensing instruments and deep-sea environmental observation platforms suitable for deep-sea environmental monitoring is the future development direction of deep-sea environmental monitoring technology.The polarized light scattering method can provide more information reflecting the microscopic physical properties of particulate matter than traditional light scattering methods.At the same time,polarized light scattering is sensitive to the microscopic physical structure of particles,which can improve measurement resolution and better characterize the internal physical properties of particles.The deep-sea particulate matter polarized light detector is a type of deep-sea particulate matter detection instrument based on polarized light scattering.The first half of this paper focuses on studying the control methods of polarized light detectors for deepsea particulate matter,including the collection strategy of polarization channel data,the calculation of Stokes vectors,and the integration of particle classification functions;And control hardware such as industrial control computers and acquisition cards through software to ensure they are in a suitable working state as required.In the later stage of the paper work,the polarized light detector for deep-sea particulate matter has reached a good working state and has the ability to detect deep-sea particles.The polarized light scattering method uses multiple polarization parameters.In order to further verify whether polarization parameters can play a role in particle detection,the second half of this paper uses a Mueller microscope,which is also based on the polarized light scattering method,to classify particles.In the experiment,Mueller microscope was used to measure two kinds of microplastics(polyvinyl chloride and nylon 6)and two kinds of organic particles(Golenkinia and Chlamydomonas),and feedforward neural network was used to study the ability of polarization parameters to classify samples.The results indicate that polarization parameters can successfully classify microplastics and organic particulate matter,with accuracy exceeding 80%,indicating that the polarization parameters used in polarized light scattering methods can indeed play an important role in particle detection.This research achievement provides feasibility verification for the application of polarized light detectors for deep-sea particulate matter.