Transcript Customized Water Quality Monitoring System

Orionweg 28 8938 AH
Leeuwarden (NL)
T 058-2675010
M 06-22538992
Main Topics …
 Anova & D3 Advices Joint
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Main Technologies (Data Mining/ Self-Learning)
Main Competences (How we work)
Conscious Monitoring
Customized Water Quality Monitoring System
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Water Supply
Wastewater Treatments
Food and Dairy Industry
Fish Farming
A good Idea comes from our genius
or by fortune …,
but it’s Value comes from the
Process Knowledge which is able to
changes it into a Competitive
Benefit (g.m.)
Main Technologies
1.
A good Idea comes from our genius
or by fortune …,
but it’s Value comes from the
Process Knowledge which is able to
changes it into a Competitive
Benefit (g.m.)
Data Mining
1.1 – Analyzing Data Methods (Multivariate Analysis)
1.2 – Data Inferentiation and Validation
1.3 – Data Integration and Fusion
2.
Knowledge Engineering (Artificial Intelligence Tech)
2.1 – Knowledge extraction and Formalization
2.2 – Knowledge Conceptualization and Modeling
2.3 – Knowledge Automation and Machine Learning (Expert Systems)
3.
Information Technology and Communication (ITC)
3.1 – Microsoft.Net Framework / Prototyping Software Tools
3.2 – Firmware/Middleware
4.
Electronic Device and Microchip Implementation
4.1 – Artificial Intelligence in electronic device
4.2 – Smart Metering – Intelligent Cluster Sensing
4.3 – Wireless Communication Device
Data Mining/Self-Learning …
Transmitter
A/D
Signal
Not
conditioned
signal
Cleaning
System
Z
Junction Box
Sampler
Sensor
Knowledge Model
Y
X
d
h
Main Competences
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Smart Sensing and Early Warning Monitoring
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Real-Time ITC & Remote Control Systems
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Artificial Intelligence in Electronic Tech
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Business Intelligence
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Water &Wastewater Processes &Technologies
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Environmental & Agri-Food Process Control
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Water Saving & Renewable Energy
How we Work…
1.
Problem Specification (Goal)
1.
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2.
Theoretical Analysis/Simulation (Idea, Design)
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Data Mining/Knowledge Extraction
Knowledge Engineering - Knowledge Modelling
System Basic Analysis & Design
System Functional Requirement Specification
Experimental Prototype (Prototype)
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4.
User’s Requirement Specification
Background Analysis – Knowledge Domain Definition
“State of the Art” Analysis
Info/Data Collection/Acquisition
System Sw Implementation
Hw/Sw Component Acquisition (Do or Buy)
System Integration & Lab Prototyping
System Testing & Validation (in Lab)
Deployment
1.
2.
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4.
Final System re-Design and Implementation
System Integration and Delivery Testing
On-Site Installation, Starting-up & Tuning
On-line System Assistance & Following-up Service
A good Idea comes from our
genius or by fortune …,
but it’s Value comes from the
Process Knowledge which is
able to changes it into a
Competitive Benefit (g.m.)
Conscious Monitoring …
Anova supplies Multi-Sensors Learning & Self-Diagnostic
Device to create a customized Intelligent System for Water
Quality Monitoring
METADATA
DATA-INPUT
DIAGNOSIS &
TroubleShooting
• to be able to on-line measure
intangibles parameters or
complex and important
indicators by not specific
measurements like pH, ORP,
Temp., Conductivity, Turbidity,
UV and so on.
• to collect and deploy data
acquired and make a logical
fusion in a Knowledge Modeling,
to timely detect an earlywarning or real-time fault
diagnosis and remediation
(Knowledge Base eXtraction
from data acquisition system
and human expertise)
• to get data acquisition system
on-line self-learning from real
multivariate process working
events (extreme variability of
the process effluents), without
continuous and expensive Lab
sampling and analysis
Customized Water Quality
Monitoring System …
Probe/Sensors
Knowledge
Base
Color
Index
Organic
Index
Applicable
Flux
Fouling
Index
Remote Control Expert
Node
Permeate
Loss
Flux
Loss
IDQ
Quality Index
Anova supplies solutions
of Artificial Intelligence
embedded into cluster
sensor technology for
“Early-Warning” monitoring
and real-time distributed
process control
IDF
Filtration Index
IDT
Tractability Index
Water Supply …
On-line Detection of Contamination Critical Events
A water quality assessment requires of a countless of specific
chemical-physical parameters to be properly detected, all of
them on samples by off-line laboratory instrumentation.
To cope with difficulty to field on-line instrumentation with the
ability to detect, identify and measure most individual
contaminants species at the level of concentration of concern,
the presence and location of contaminants must be inferred
from measurements of other sustainable parameters.
It is possible that the general class of contaminants might be
inferred with a-specific parameters by a macro-indicator like
WQDi (Water Quality Dynamic Index), so we have the follow list
of some of sustainable probes:
 pH, Temperature
 Turbidity
 Conductibility
 OD (Dissolved Oxygen)
 ORP (Reduction Oxidation Potential)
 UV-Vis (Spectrometer for Multi-Parameter Measurem.: COD, TSS,
etc.)
 etc.
A good Idea comes from our
genius or by fortune …,
but it’s Value comes from the
Process Knowledge which is
able to changes it into a
Competitive Benefit (g.m.)
Wastewaters Treatment …
On-line detection of “Early Warning” to minimize the
exposure of the public to contaminated water and its
effects
The wastewater contamination problem is very different from
the problem of contamination of water supply.
Moreover about wastewater quality monitoring, there is not a
standard guidance for the best selection and sitting of
instruments in that typical hazardous environment.
Same as water supply, it is possible that the general class of
contaminants might be inferred with a-specific parameters by a
macro-indicator like WPRi (Water Pollution Rate Index), so we
have the follow list of sustainable probes:
 pH, Temperature
 Turbidity
 Conductibility
 OD (Dissolved Oxygen)
 ORP (Reduction Oxidation Potential)
 UV-Vis (Spectrometer for Multi-Parameter Measurem.: COD, TSS,
etc.)
 etc.
A good Idea comes from our
genius or by fortune …,
but it’s Value comes from the
Process Knowledge which is
able to changes it into a
Competitive Benefit (g.m.)
Food and Dairy Industry …
On-line Monitoring to Improve Environmental
Performance
The dairy industry handles large volumes of milk and the major
waste material from processing is the water. The water removed
from the milk can contain considerable amounts of organic milk
products and minerals.
The dairy industry has come under increasing pressure to
improve its environmental performance.
Environmental effects on water:
- River Oxygen Level and BOD5, sewage Fungus, Colour and
Turbidity, Nitrogen and Phosphorus, pH, Temperature, Gaseous
Emissions, Dust/Odours, Visual Effects.
A good Idea comes from our
genius or by fortune …,
but it’s Value comes from the
Process Knowledge which is
able to changes it into a
Competitive Benefit (g.m.)
Fish Farming …
On-line Detection of Fish’s health and growth
The major water quality factors that are important in freshwater
aquaculture system and methods to monitor are that water
quality determines not only how well fish will grow in an
aquaculture operation, but whether or not they survive.
Fish influence water quality through process like nitrogen
metabolism and respiration.
Knowledge of testing procedures and interpretation of results are
important to the fish farmer.
Some water quality factors are more likely to be involved with
fish losses such as dissolved oxygen, temperature and ammonia.
Others, such as pH, alkalinity, hardness and clarity affect fish, but
usually are not directly toxic.
Each water quality factors interacts with and influences other
parameters, sometimes in complex ways.
What me be toxic and cause mortalities in one situation, can be
harmless in another.
A good Idea comes from our
genius or by fortune …,
but it’s Value comes from the
Process Knowledge which is
able to changes it into a
Competitive Benefit (g.m.)
Thanks …
A good Idea comes from our
genius or by fortune …,
but it’s Value comes from the
Process Knowledge which is
able to changes it into a
Competitive Benefit (g.m.)