Graduate Thesis Or Dissertation
 

A computer controlled robot analyzer for in situ water quality monitoring

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https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/rn301505z

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  • A new, computer oriented system for automatic, in situ monitoring of water quality is proposed which makes full and effective use of modern computer technology. The main objective of this thesis work was the development of the concept for in situ computer controlled experimenting as a reasonable and effective means of automatically observing the wide range of aquatic parameters needed. The established capability in the teleprocessing industry is assumed as starting point and an optimal design is sought for a sensing head which would meet current expression of requirements for automated water quality monitors while exploiting the advantages of both hardware and software in a total system context. A working model of such a sensing head was constructed and operationally tested using an EAI 690 hybrid computer to simulate the central computer and telecommunications facility. This sensing head consisted of a peristaltic pump, a servo positioned valve, an array of six electrodes (2 glass pH, 3 silver-silver chloride and 1 gold microelectrode) and a thermistor, along with buffer amplifiers and motor controllers to service these devices. A main feature is its design as a remote, computer periferal, like a teletype, which understands up to 64 different commands and which returns coded responses. A second feature is its in situ design making the entire sensor head submersible and operable in depths to 100 meters. A repertoire of programmed experiments was developed for the working model system to show how, for example, it could monitor the water quality parameters; temperature, pH, conductivity, dissolved oxygen, chloride ion, total carbon dioxide, total alkalinity, and a factor called "other ions". The last three in the list being derived from a novel titrametric method, that could be implemented in the particular set of devices in the model sensing head. Concepts of autovarification and autocalibration are introduced and applied with some success. Examples of data (taken at 1/2 meter or 100 meter submergence) for known test solutions and local river water are presented and discussed. It is concluded that the proposed concept is both practical and feasible, having an almost open ended potential to monitor parameters for which sensors per se are not now available, and to do this with high levels of confirmed data return.
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