REAL-TIME, ON-LINE MONITORING OF DRINKING WATER FOR WATERBORNE PATHOGEN CONTAMINATION WARNING

The increasing value of safe, purified water in today's global environment presents many challenges for improving water purification processes while accelerating water quality monitoring technologies. These challenges include: escalating worldwide security threats, increasing demands by consumers and regulatory agencies for higher water quality standards, and proliferation of contamination events. A major concern in protecting water purity is the detection and control of harmful microorganisms in water sources, treatment, and distribution. Due to the length of time for standard laboratory methods to yield results, typically 24-72 hours, current analytical techniques have not been able to reliably detect microorganisms in real time and provide an immediate warning of biological contamination. Through years of research and development, an emerging technology called MALS (multi-angle light scattering) can now achieve on line, real time detection and classification of microorganisms in water. The method utilizes a laser beam focused into a slip-stream of water and the light scattered by microorganisms generates unique patterns. These “bio-optical signatures” are instantaneously captured by photodetectors, matched against catalogue profiles in an on-board data base, and subsequently classified within minutes of detection. The system can then immediately alert personnel to the contamination event while extracting a water sample for further confirmation.

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Analysis and Solution on the Correlation between Dissolved Oxygen Sensor and pH Sensor for Water Quality Monitoring

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.411-414.1445 ◽

2013 ◽

Vol 411-414 ◽

pp. 1445-1450

Author(s):

Li Ya Liu ◽

Dean Zhao ◽

Yun Qin

Keyword(s):

Water Quality ◽

Dissolved Oxygen ◽

Real Time ◽

Oxygen Sensor ◽

Ph Sensor ◽

Water Quality Monitoring ◽

Low Noise ◽

Small Error ◽

On Line ◽

Aquaculture Water

This paper designs a multi parameter real-time water quality on-line monitoring system for aquaculture water. This system achieves the online monitoring among temperature, turbidity, DO (dissolved oxygen), pH and electrical conductivity. The crosstalk, produced by the simultaneous measurement with DO and pH sensors, will affect accuracy and stability of monitoring results. This paper analyzes the source of crosstalk, describes a circuit model of causing crosstalk, and designs an isolated circuit between powers and signals as well. The experimental results show that, the real-time monitoring of DO and pH has the characteristics of speediness, high precision, small error and low noise.

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Development of an on-line chlorine sensor for water quality monitoring in public distribution networks

Water Science & Technology Water Supply ◽

10.2166/ws.2001.0039 ◽

2001 ◽

Vol 1 (2) ◽

pp. 211-216

Author(s):

J. Gobet ◽

P. Rychen ◽

C. Madore ◽

N. Skinner ◽

H. van Buel ◽

...

Keyword(s):

Water Quality ◽

Electrode Array ◽

Control Valve ◽

Water Quality Monitoring ◽

Distribution Networks ◽

Free Chlorine ◽

Flow Dependence ◽

On Line ◽

And Control ◽

Continuous Use

A new on-line free chlorine sensor based on a microdisc electrode array is presented. The sensor is microfabricated using microelectronic-based processes. Sensor characteristics include a good linearity in the 0-1 mg/l range, a sensitivity of 13 nA/(mgCl2/l) with a detection limit of 0.02 mg/l of free chlorine. The sensor response has a low pH and flow dependence. A very good stability over 4 weeks of continuous use in drinking water is demonstrated. Mounted on an automatic control valve the sensor will offer the possibility to monitor and control the water quality in a distribution network.

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Real Time Water Quality Monitoring and Control System

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2017.9001 ◽

2017 ◽

Vol V (IX) ◽

pp. 1-3 ◽

Cited By ~ 1

Author(s):

Preeti Meghwani

Keyword(s):

Water Quality ◽

Control System ◽

Real Time ◽

Water Quality Monitoring ◽

Quality Monitoring ◽

Monitoring And Control ◽

Monitoring And Control System ◽

And Control

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Adaptive Signal Analysis and Interpretation for Real-time Intelligent Patient Monitoring

Methods of Information in Medicine ◽

10.1055/s-0038-1634962 ◽

1994 ◽

Vol 33 (01) ◽

pp. 60-63 ◽

Cited By ~ 3

Author(s):

E. J. Manders ◽

D. P. Lindstrom ◽

B. M. Dawant

Keyword(s):

Computer Architecture ◽

Real Time ◽

Data Abstraction ◽

Monitoring Strategy ◽

Intelligent Monitoring ◽

Patient Status ◽

On Line ◽

Main Components ◽

And Control ◽

Adaptive Signal

Abstract:On-line intelligent monitoring, diagnosis, and control of dynamic systems such as patients in intensive care units necessitates the context-dependent acquisition, processing, analysis, and interpretation of large amounts of possibly noisy and incomplete data. The dynamic nature of the process also requires a continuous evaluation and adaptation of the monitoring strategy to respond to changes both in the monitored patient and in the monitoring equipment. Moreover, real-time constraints may imply data losses, the importance of which has to be minimized. This paper presents a computer architecture designed to accomplish these tasks. Its main components are a model and a data abstraction module. The model provides the system with a monitoring context related to the patient status. The data abstraction module relies on that information to adapt the monitoring strategy and provide the model with the necessary information. This paper focuses on the data abstraction module and its interaction with the model.

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