Modelowanie i konstrukcja wieloparametrycznych natężeniowych czujników światłowodowych

Borecki, M.

Artykuł - szczegóły

Tytuł artykułu

Modelowanie i konstrukcja wieloparametrycznych natężeniowych czujników światłowodowych

Autorzy

Borecki M.

Identyfikatory

Warianty tytułu

Multiparametric fiber optic intensity sensors construction and modeling

Języki publikacji

Abstrakty

Czujniki światłowodowe, których zasada pracy w głównej mierze jest oparta na zmianach natężenia promieniowania optycznego, nazywa się światłowodowymi czujnikowymi natężeniowymi. Światłowodowy czujnik składa się z: źródła światła, relatywnie krótkiego toru światłowodowego połączonego z głowicą, odbiornika promieniowania optycznego, układów kondycjonowania sygnałów i układów detekcji. W czujniku wykorzystywane są podzespoły światłowodowe, optoelektroniczne, mikroelektroniczne i mikromechaniczne. Czujniki światłowodowe przeznaczone są zwykle do wyznaczania pojedynczego parametru badanego ośrodka. Opracowanie konstrukcji światłowodowych czujników natężeniowych, spełniających zdefiniowane funkcje rozpoznawania ośrodków ciekłych i ich klasyfikacji, przy zadanym poziomie dokładności, napotykało na trudności związane z multidyscyplinanym charakterem zadania. W celu rozwiązania powyższego zagadnienia autor opracował szereg modeli podzespołów światłowodowych, w tym głowic czujników. W przeprowadzonych badaniach autor zakładał, że opracowywane modele podzespołów mają umożliwić symulacje większości rzeczywistych warunków pracy. Analiza symulacji umożliwiła wykonanie konstrukcji światłowodowych głowic ośrodków ciekłych działających w oryginalnych, zaproponowanych przez autora, trybach wieloparametrycznych. Tryby te związane są ze zmianą parametrów badanego ośrodka poddawanego zewnętrznym kontrolowanym oddziaływaniom, np. prowadzącym do formowania kropli lub powstawania fazy gazowej. Do detekcji otrzymywanych sygnałów opracowano dedykowane układy optoelektroniczne. Klasyfikację sygnałów prowadzono na podstawie danych uzyskiwanych podczas wymuszonych cykli pomiarowych z wykorzystaniem sztucznych sieci neuronowych. Uzyskane wyniki wskazały, że analizy dynamicznie zmieniających się sygnałów optycznych stanowią bardzo dobrą bazę do klasyfikacji ośrodków ciekłych. Całość prac doprowadziła do opracowania dwu nowych metod badawczych. Pierwsza metoda bazuje na analizie zmiany kształtu kropli formującej się na końcu światłowodu. Druga metoda wykorzystuje przejście fazowe ciecz-gaz-ciecz w próbce o nanolitrowej objętości umieszczonej w kapilarze optycznej. Okazało się, że proponowane metody charakteryzują się wysokimi właściwościami użytkowymi. Dla proponowanych konstrukcji przewiduje się zastosowania w klasyfikacji cieczy oraz określaniu stanów fizjologicznych ssaków na podstawie parametrów wydzielin organicznych. Aktualnie prowadzone są badania nad mikrosystemowymi implementacjami metod przeznaczonymi do klasyfikacji biopaliw i jakości mleka oraz określania faz płodności i stanu mastitis gruczołów u ssaków.

The fiber optic sensors that fundamental of working are changes of light intensity are named fiber optic intensity sensors. Fiber optic sensors consist of light source unit, relatively short fiber optic path that is connected with head, light receiver, signal processing and detection units. Fiber optic elements, opto electronic, micro electronic and micro mechanic devices are used in fiber optic sensor. The fiber optic sensors are commonly used to one parameter determination of the examined medium therefore the precise medium classification is not possible. The fiber optic sensor construction, that meet the defined function of detection and classifications of medium with accuracy set meet difficulty related with multidisciplinary character of task. The models of fiber optic elements were elaborated by author to overstep this difficulty. Author assumed in the presented work that the models of elements have to be sufficient for simulation of work in most working conditions. The analysis of simulations enables realization of fiber optic heads for sensing fluids that works in original, proposed by author multiparametric modes. Those modes are related with the parameters' changes of examined medium that is under controlled action, for example let to drop forming, or creation of gas phase. The dedicated opto electronic units were worked out for detection purpose. The signal classification was carried on with artificial neural network use that processed the data obtained dynamically during measurement cycle. The obtained effect shows that analysis of dynamically changed signals is very good basis for liquid classification. The entire work results in two new examination methods. The drop shape changing that form in the end of optical fiber is used in the first method. The phase crossing liquid-gas-liquid of examined sample of nano litter volume situated in optical capillary is utilized in the second method. The proposed methods have high usable properties. The application ranges of analyzed construction foresee is related with liquid classification and determination of physiologic states of organism on the set of secretion parameters. The micro system implementations of methods are now performed for the bio fuel and milk quality classification and the fertility phase and mastitis diagnosis of mammals.

Słowa kluczowe

czujniki światłowodowe czujniki inteligentne światłowody grubordzeniowe kapilary optyczne głowice światłowodowe klasyfikacja cieczy metody natężeniowe nieliniowe śledzenie promieni

fiber optic sensor intelligent sensor large core optical fibers optical capillaries fiber optic head liquid classification intensity methods nonlinear ray tracing

Wydawca

Oficyna Wydawnicza Politechniki Warszawskiej

Czasopismo

Prace Naukowe Politechniki Warszawskiej. Elektronika

Rocznik

2010

Tom

z. 173

Strony

3--198

Opis fizyczny

Bibliogr. 266 poz., tab., rys., wykr.

Twórcy

autor

Borecki M.

Instytut Mikroelektroniki i Optoelektroniki Politechniki Warszawskiej

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