On-line continuous measurement of particle size using electrostatic sensors

2003 ◽  
Vol 135-136 ◽  
pp. 164-168 ◽  
Author(s):  
Jian Qiu Zhang ◽  
Yong Yan
Keyword(s):  
Particle Size ◽  
Continuous Measurement ◽  
On Line

On-line measurements of settling characteristics in activated sludge

1997 ◽  
Vol 36 (4) ◽  
pp. 307-312
Author(s):  
Michael R. Rasmussen ◽  
Torben Larsen
Keyword(s):  
Activated Sludge ◽  
Settling Velocity ◽  
Continuous Measurement ◽  
Batch Reactor ◽  
Volume Index ◽  
Sludge Volume Index ◽  
Dynamic Variations ◽  
On Line ◽  
Settling Column ◽  
Settling Characteristics

An on-line settling column for measuring the dynamic variations of settling velocity of activated sludge has been developed. The settling column is automatic and self-cleansing insuring continuous and reliable measurements. The settling column was tested on sludge from a batch reactor where sucrose was added as an impulse to activated sludge. The continuous measurement of settling velocity revealed a highly dynamic response after the sucrose was added. The results were verified with simultaneous measurement of the initial settling rate. A 200 hour experiment showed variations in settling velocity, which was not apparent in the DSVI (Diluted Sludge Volume Index).

Estimation of wastewater process parameters using neural networks

1996 ◽  
Vol 33 (1) ◽  
pp. 101-115 ◽  
Author(s):  
Michael Häck ◽  
Manfred Köhne
Keyword(s):  
Process Parameters ◽  
Municipal Wastewater ◽  
Continuous Measurement ◽  
Treatment Plant ◽  
Municipal Wastewater Treatment ◽  
Dynamic Correlations ◽  
On Line ◽  
Maintenance Work ◽  
Line Process ◽  
Optimal Adaptation

The use of on-line process analyzers for continuous measurement of wastewater components is often accompanied by unpredictable breakdown or necessary maintenance work at the analyzers, leading to fault time in the measurements. In this paper a new method is presented, allowing the approximate calculation or estimation of those process parameters which are temporarily not available. The calculation is based on auxiliary parameters; the results can be used for process control. Therefore, besides the output of the process analyzers, easily and directly measurable auxiliary parameters are determined. The correlations between these auxiliary parameters and the process parameters actually of interest (COD, NH4, etc.) are detected and used for the estimation of the process parameters in case of a breakdown. Information processing is executed by a neural network, enabling the detection of non-linear static or dynamic correlations, based only on information given by the measured values. The network is trained by data recorded before the breakdown of an on-line analyzer. By this, an optimal adaptation to the current wastewater composition is possible. This method was tested on a municipal wastewater treatment plant near Siegen (Germany). The results obtained are presented in this paper.

On-Line Particle Size Analysis Using Ultrasonic Velocity Spectrometry

1997 ◽  
Vol 14 (3) ◽  
pp. 116-121 ◽  
Author(s):  
Peter J. Coghill ◽  
Michael J. Millen ◽  
Brian D. Sowerby
Keyword(s):  
Particle Size ◽  
Ultrasonic Velocity ◽  
Particle Size Analysis ◽  
Size Analysis ◽  
On Line
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