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.
Rieger
L
L
EAWAG, Swiss Federal Institute for Environmental Science and Technology, CH-8600 Duebendorf, Switzerland. leiv.rieger@eawag.ch
Thomann
M
M
Joss
A
A
Gujer
W
W
Siegrist
H
H
D003201:Computers; D019992:Databases as Topic; D004784:Environmental Monitoring / Q000379:methods; D015233:Models, Statistical; D010710:Phosphates / Q000737:chemistry; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D012984:Software; D013223:Statistics as Topic / Q000379:methods; D013997:Time Factors; D014865:Waste Disposal, Fluid / Q000379:methods*
D010710:Phosphates