Application of Artificial Intelligence in Industry

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17 Ιουλ 2012 (πριν από 4 χρόνια και 11 μήνες)

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Application of Artificial
Intelligence in Industry
by
Prof. Marzuki Khalid
Director
Center for Artificial Intelligence and Robotics (CAIRO)
Universiti Teknologi Malaysia
Jalan Semarak
Kuala Lumpur
RESQUA 2000
4
th
May 2000
UTM
Scope of Presentation
C
Artificial Intelligence Techniques
C
AI and Industrial Competitiveness
C
Examples of AI Applications in Industry
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2
What is Artificial
What is Artificial
Intelligence
Intelligence
?
?
?
AI is a “tool” that has been developed to
imitate human intelligence and decision-
making functions, providing basic reasoning
and other human characteristics.
Human Intelligence Vs. Machine Intelligence
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3
•ANN
•GA
•A. Life
•……..
•Fuzzy
•Rough Sets
•Chaos
•………..
•KBS
•Symbolic M. L.
•Logic Prog.
•Nat. Lang. Proc.
•Search techniques
•……………
Symbolic AI
Micro. Bio. Models
New AI
•Mathematics
•Control Theory
•Computer Science
•Physics
•Operational Research
•……………
•Neuroscience
•Psychology
•Philosophy
•Biological Science
•Physiology
•……………
A Brief Insight on several
A Brief Insight on several
AI TOOLS
AI TOOLS
4
Expert Systems
4
Fuzzy Logic
4
Neural Networks
4
Genetic Algorithms
4
4
USER
Consultation
Interface
User Interface
Inference
Engine
Working
Memory
Knowledge Base
EXPERT
Consultation
Interface
Explanation
Facility
Knowledge
Acquisition
Facility
Rules
A Typical Expert
System Architecture
An ANN is a computer
An ANN is a computer
model of the biological brain
model of the biological brain



x
1
O
i
= f ( W
ij
x
j
+ b
i
)
Σ
f()
O
1
Artificial Neuron
Σ
N
i =1
W
11
W
12
W
13
W
1
N
x
2
x
3
x
N
sum =
W
11
x
1
+
W
12
x
2
+...+
x
N
W
1
N
W
1j
x
j
Biological Neuron
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5
Genetic Algorithms
Genetic Algorithms
have been derived
have been derived
from the human
from the human
reproduction
reproduction
process
process
GA Operators
Reproduction
Crossover
Mutation
Fitness
Generation
Populati
on
Fitness
Generation
proceed
Crossover
Mutation
Reproduction
1
2
3
4
Chromosomes
Genes
1
Features, Characters:
Eg. Dark Hair,
Brown Eyes, Tall
(Carrier of Hereditary
Information)
1
2
3
4
Fuzzy logic has been developed
Fuzzy logic has been developed
from the human reasoning process
from the human reasoning process
Knowledge
Base
Infer
This is a
dragon fly!
Sensor
Dragon Fly
• 6 legs
• wings
• Body with 3 parts
• Insect
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6
Intelligent Systems Design
Intelligent Systems Design
Intelligent
Man-
Machine
Interface
Expert systems
Fuzzy logic
Neural
networks
………….
Intelligent machine
Algorithms,
computations
(Sensors)
Execution
TASKS
Expert systems
Fuzzy logic
Neural
networks
………….
Cognition
Perception
Task
Scope of Presentation
C
What is Artificial Intelligence?
C
AI and Industrial Competitiveness
C
AI Applications in Industry
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7
Is there really a need for
Is there really a need for
AI in Industry?
AI in Industry?
z
Manufacturers need to improve on their products
z
Need to satisfy customer’s needs
z
Need to improve products’ reliability
z
Need to improve products’ performance
z
Need to improve products’ features
z
Need to distinguish their products away from their
competitors
Exploiting Artificial Intelligence for
Exploiting Artificial Intelligence for
Competitive Edge
Competitive Edge
H
In 1994 alone Japan sold US$34 billion worth of
consumer products using fuzzy logic technology
H
This is almost twice the amount of the whole 1999
budget of Malaysia
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Successful Applications of
Successful Applications of
Fuzzy Logic Technology
Fuzzy Logic Technology
Sendai Subway
Control
Camera
Rice Cooker
Refrigerator
Washing Machine
Air Conditioner
Television
Vacuum Cleaner
Camcorder
Stabilizer
ABS Braking
System
Stock Trading
Elevator Group
Control
Cement Kiln
Control
Fuzzy Logic Technology is becoming more affordable
Advertisement in Malaysian Newspapers
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9
With the introduction of Fuzzy Logic Washing
With the introduction of Fuzzy Logic Washing
Machines, extremely high sales were recorded!
Machines, extremely high sales were recorded!
This prompted many other consumer product
manufacturers to start using fuzzy logic in their
products
Intelligent Perceptions
A Fuzzy Logic System in the SEi model assists the driver’s
perception and judgement by automatically selecting the
shift pattern best suited to road conditions based on
several sets of built-in data like road winding conditions
and gradients, and frequency of brake applications.
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Scope of Presentation
C
What is Artificial Intelligence?
C
AI and Industrial Competitiveness
C
Examples of AI Applications in Industry
AI Applications at the
AI Applications at the
Center for Artificial Intelligence and Robotics
Center for Artificial Intelligence and Robotics
(CAIRO), UTM
(CAIRO), UTM

Handwritten Recognition

Licence Plate Recognition

Process Optimization

Automated Data Entry System

Data Mining

Transformer Diagnostics / Maintenance

Plant Monitoring and Control

Telepresence and Telesurveillance
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Marzuki Khalid
CAIRO, UTM,
Kuala Lumpur
5 4 1 0 0
Fuzzy ARTMap
Algorithm
CCD
Camera
Frame
Grabber
Handwritten Codes
Bin#1
Bin#2
Bin#3
Bin#n
SORTING
MECHANISM
SORT
CAIRO’s
CAIRO’s
Intelligent Post
Intelligent Post
-
-
Code
Code
Recognition Machine
Recognition Machine
APPLE1
APPLE1
-
-
Vehicle License Plate Recognition
Vehicle License Plate Recognition
Neural Network
algorithm is trained to
learn characters
Input layer
Hidden layer Output layer
Weights
AN ARTIFICIAL NEURAL NETWORK
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CHILLING/HEATING SYSTEM
CHILLING/HEATING SYSTEM
USING FUZZY LOGIC
USING FUZZY LOGIC
GUI of Chilling/Heating System
Control Surface
Example of an automation project by CAIRO
Example of an automation project by CAIRO
Fuzzy control application in an industrial plant
Fuzzy control application in an industrial plant
CAIRO’s Industrial Project
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An industrial computer is installed
An industrial computer is installed
at the plant where control can be
at the plant where control can be
done through a powerful GUI using
done through a powerful GUI using
a touch
a touch
-
-
screen monitor
screen monitor
CAIRO’s Industrial Project
Automation and Fuzzy Control of an Industrial Plant
Automation and Fuzzy Control of an Industrial Plant
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Defect Bottle
Camera 1
Camera 2
Camera 3
Crack
TOTAL
Good : 128
Reject : 16
Control Box
Lighting
Sensors
Sensors
Proposal to solve bottle inspection
system for a food manufacturer
CAIRO’s Industrial Project
Newspaper
Newspaper
Report
Report
6
6
th
th
February 2000
February 2000
15
15
40
60
80
100
120
140
160
180
200
01/01/1997 06/06/1997 01/09/1997 25/12/1997 01/01/1998 01/06/1998 11/09/1998 11/11/1998
45
69
65
95
82
123
199
150
Test Value
Hydrogen Statistics
H
y
dro
g
en Statistics
Sampling Date
0
50
100
150
200
250
300
350
400
450
01/01/1997 06/06/1997 01/09/1997 25/12/1997 01/01/1998 01/06/1998 11/09/1998 11/11/1998
22
37
21
33
54
34
41
436
Test Value
Methane Statistics
Methane Statistics
Sampli ng Date
0
100
200
300
400
500
600
700
01/01/1997 06/06/1997 01/09/1997 25/12/1997 01/01/1998 01/06/1998 11/09/1998 11/11/1998
500
323
322
12
651
145
14
465
Test Value
Eth
y
lene Statistics
Eth
y
lene Statistics
Sampling Date
FUZZY
INTERPRETATION
Transformer Condition

G
ood
.N
ormal
/
B
ad
Automatic
Interpretation
using
Fuzzy Logic
Report & Graphs for Analysis
Research in process optimization
Research in process optimization
Model File
Historian
Engineer
Plant
Operator
Data
Acquisition
And
Control
System
Data
Acquisition
And
Control
System
Process Insights
®
Pavilion’s
Real-time OLAP
and Control Software
Examples:
RunTime Software Controller
®
Software CEM
®
Virtual OnLine Analyzer
®
BOOST™ Boiler Optimizer
Off-line
On-line
Neural
networks
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CAIRO’s
CAIRO’s
Virtual Laboratory Product
Virtual Laboratory Product
Internet
Camera
Server
Computer
Client Computer
Client Computer
Client Computer
Client Computer
• access through web
browser
• operate control
• online monitoring
T
C
P
/
I
P

c
o
m
m
u
n
i
c
a
t
i
o
n
AI Applications in Industry
AI Applications in Industry
z
Mainly consumer products
z
Transportation systems
z
Industrial systems
z
Decision-support systems/Diagnostics
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Consumer Products from Japan
Consumer Products from Japan
Neuro
Neuro
-
-
Fuzzy Consumer
Fuzzy Consumer
Products are Available
Products are Available
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18
z
First proposed in 1978 by Hitachi Ltd.
z
Granted permission to operate in 1986 after 300,000
simulations and 3,000 empty runs
z
Improved stop position by 3X
z
Reduced power setting by 2X
z
Total power use reduced by 10%
z
Finally, Hitachi was granted contracts for Tokyo Subway in
1991
Fuzzy Subway Train in Sendai
Fuzzy Subway Train in Sendai
z
To measure the train performance, the following Performance Indices
can be used:
z
Traceability
z
Comfort
z
Safety
z
Running Time Margin
z
Stopping Accuracy
Membership functions
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19
Seamless Autonomous
Seamless Autonomous
Decentralized System
Decentralized System
Unifying intelligent
equipment and
computers via
networks.
“Devicenet”
Control System based on
Control System based on
Nanokernel
Nanokernel
•Multiple OS can be operated using 1 machine
•For control of multiple processes
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20
Railway Information and Control System
Railway Information and Control System
• Preparing for the coming age of comfortable mass
transportation
• Evolutionary change of railway systems
• For Hi-density and Hi-speed Rail Traffic System
Intelligent Health Care Information Systems
Intelligent Health Care Information Systems
z
To improve the quality and efficiency of health care services
z
Online medical records and health care plans
z
Co-operative health care environment in which professional
services can be provided by multidisciplinary staff
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21
To gain Competitive Advantage
To gain Competitive Advantage
in our Products
in our Products
9
Technology Driven
9
International Market
9
Develop Home-grown Expertise
9
Design Own Products
9
Integrate Local Design with Foreign Components
9
Use Advanced Technology Tools
9
Enhance R&D Capabilities
9
Innovate