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M Thomann

Publications and source records attributed to M Thomann.

6 recordsLinked to original sources

Computer-aided monitoring and operation of continuous measuring devices.

Extended studies of measuring and control systems in activated sludge plants at EAWAG revealed that the measuring devices remain the weakest point in control applications. To overcome this problem, a software package was developed which analyses and evaluates the residuals between a reference measurement and the sensor and collects the information in a database. The underlying monitoring concept is based on a two-step evaluation of the residuals by means of statistical evaluations using control charts with two different sets of criteria. The first step is a warning phase in which hints on probable errors trigger an increase in the monitoring frequency. In the second step, the alarm phase, the error hypothesis has to be validated and should allow immediate and targeted reactions from the operator. This procedure enables an optimized and flexible monitoring effort combined with an increased probability of early detection of systematic measuring errors. Beside the monitoring concept, information about the measuring device, the performed servicing actions and the responsibilities is stored. Statistical values for the quantitative characterization of the measuring system during operation will be given. They are needed to parameterise controllers or to guarantee the accuracy of the instrument in order to allow reliable calculations of effluent tax. In contrast to other concepts, not only is the measuring device examined under standard conditions, but so is the entire measuring chain from the liquid to be analysed to the value stored in the database of the supervisory system. The knowledge of the response time of the measuring system is then required in order to allow a comparison of the corresponding values.

Computers↗

Spectral in-situ analysis of NO2, NO3, COD, DOC and TSS in the effluent of a WWTP.

An in-situ UV spectrometer was applied to the effluent of a WWTP in Switzerland and calibrated using a multivariate calibration algorithm based on PLS regression. Except for nitrite, the calibration was based on comparative measurements of the effluent in the plant laboratory. Samples made of stock solution added to three different matrices prepared in the EAWAG laboratory were used for the nitrite calibration because the effluent concentrations were always in the range of 0.06-0.26 mg/l. The results show very good precision for nitrite and nitrate. The measuring range for COD and DOC was not completely covered by the measurements, so the meaningfulness of the results is limited. Nevertheless the precision obtained for soluble COD is high enough for most applications at WWTPs. The accuracy of the TSS measurement is unsatisfactory as regards effluent limits since the spectrometer used does not cover the wavelength region up to 700 nm, which gives better signals for TSS calibration due to its strong correlation with turbidity.

Algorithms↗

Progress in sensor technology--progress in process control? Part 1: sensor property investigation and classification.

To ensure correctly operating control systems, the measurement and control equipment in WWTPs must be mutually consistent. The dynamic simulation of activated sludge systems could offer a suitable tool for designing and optimising control strategies. Ideal or simplified sensor models represent a limiting factor for comparability with field applications. More realistic sensor models are therefore required. Two groups of sensor models are proposed on the basis of field and laboratory tests: one for specific sensors and another for a classification of sensor types to be used with the COST simulation benchmark environment. This should lead to a more realistic test environment and allow control engineers to define the requirements of the measuring equipment as a function of the selected strategy.

Environmental Monitoring↗

An efficient monitoring concept with control charts for on-line sensors.

A monitoring concept for on-line sensors will be discussed which helps the WWTP staff to detect drift-, shift- and outlier effects as well as unsatisfactory calibration curves. The approach is based on the analysis of comparative measurements between the sensor and a reference method. It combines statistical analysis such as control charts and regression analysis with decision support rules. The combination of two different detection levels in the selected Shewhart control charts with additional criteria allows one to detect 'out-of-control' situations early with an optimized measurement effort. Beside the statistical analysis the concept supports the operator with a graphical analysis to monitor the accuracy of on-line measurements efficiently. The widely applicable monitoring concept will be illustrated with examples for an ion-sensitive NH4+- and a MLSS-sensor.

Automation↗

Spatial distribution of low- and high-voltage-activated calcium currents in neurons of the deep cerebellar nuclei.

The spatial distribution of low-voltage-activated (LVA) and high-voltage-activated (HVA) barium currents was investigated in neurons of the deep cerebellar nuclei (DCN) by combining barium imaging with voltage clamp. The current-induced fluorescence signal (DeltaF/F) of the HVA current was five times higher then the LVA-induced signal at the soma, but both signals were approximately equal in size in distant dendrites. This position-dependent shift of DeltaF/F indicates a non-uniform distribution of the underlying calcium channels. The higher weight of the LVA signal in the dendrites suggests that the LVA might be of particular relevance for the dendritic integration of synaptic inputs.

Animals↗

Voltage signals of individual Purkinje cell dendrites in rat cerebellar slices.

For investigating neuronal information processing at the cellular level, a technique which visualizes the voltage distribution within single neurons in situ would be extremely useful. Voltage-sensitive dyes are, in principle, capable of reporting membrane potential [Cohen, L.B. and Salzberg, B.M., Rev. Physiol. Biochem. Pharmacol., 83 (1978) 35-88; Grinvald, A., Lieke, E.E., Frostig, R.D. and Hildesheim, R., J. Neurosci., 14 (1994) 2545-2568; Kleinfeld, D., Delaney, K.R., Fee, M.S., Flores, J.A., Tank, D.W. and Gelperin, A., J. Neurophysiol., 72 (1994) 1402-1419]. However, their application to single cells internally is technically difficult [Antic, S. and Zecevic, D., J. Neurosci., 15 (1995) 1392-1405; Grinvald, A., Salzberg, B.M., Lev-Ram, V. and Hildesheim, R., Biophys. J., 51 (1987) 643-651; Kogan, A., Ross, W.N., Zecevic, D. and Lasser-Ross, N., Brain Res., 700 (1995) 235-239; Zecevic, D., Nature, 381 (1996) 322-325]. An alternative strategy consists in applying the dye from the outside to all cells in the tissue, while manipulating a single cell by current injection [Krauthamer, V. and Ross, W.N., J. Neurosci., 4 (1984) 673-682; Ross, W.N. and Krauthamer, V., J. Neurosci., 4 (1984) 659-672]. Here, we modify this technique to further enhance spatial at the cost of temporal resolution [Borst, A., Z. Naturforsch., 50 (1995) 435-438]. Applied to rat cerebellar slices we demonstrate that the potential spread in individual Purkinje cells can be imaged up to even fine dendritic branches. The acquired optical signals suggest that steadily hyperpolarized Purkinje cells are electrically compact. When permanently depolarized, the somatic input resistance is significantly diminished, yet the spatial voltage drop along the dendrites remains unchanged. As demonstrated by compartmental modeling, this hints to a concentration of outward rectifying currents at the soma of the cells.

Animals↗