The objective of we are come to discuss and exchange in 4 main topics as follows: 1. Artificial Intelligent and Neural Network Project of Chemical Engineering That I have researched since 2005. 2. Industrial Data Space and the combination of data set and AI. 3. Innovation Eco-system for Thailand and ASEAN About how to have cooperation were related to AI, such as the Association of AI and Bangkok AI Community. 4. The conclusion of the presentation.

1. 13 June 2020
AI, Industrial Data Space, and
Thailand's Innovation Transformation
Pantapong Tangteerasunun
VP-Innovation
Chanwanich Co.,Ltd.
1. AI and Neural Network Project
2. Industrial Data Space
3. Innovation Transformation
4. Conclusion

2. 13 June 2020
Blackbox Model
Input Output
General adsorption math model
- Non-linear
- Complicate
- Very hard to solve
Source: Mathematical Modeling of Fixed Bed Adsorption : Breakthrough Curve
Amirhossein Ghorbani, Ramin Karimzadeh, Masoud Mofarahi.
Objective
1. Design neural network architecture
2. Comparing efficiency and accuracy
3. Use NN model to control this process
Dynamic Neural Network Modeling
for Hydrochloric Acid Recovery Process
Paisan K, Pantapong T., and Piyanuch T. (2005)
Department of Chemical Engineering, Chulalongkorn University
AI and Neural Network Project

3. 13 June 2020
Blackbox
Input
Data
Set
Output
Data
Set
The components of neural network models
Training Algorithm : Back Propagation Algorithm
Basis Function : Linear Basis function
Transfer Function : Sigmoid Function
Input Data Set : Flow rate
Steel Ion Concentration
Hydrochloric Concentration
Output Data Set : Steel Ion Concentration
Hydrochloric Concentration
To Predict : Concentration Profile
Hydrochloric Concentration
AI and Neural Network Project

4. 13 June 2020
NN Model VS Experiment Data
%Error : 7-10% RMSP
Accuracy : 90-93%
PDE Model VS Experiment Data
%Error : 21-30% RMSP
Accuracy : 70-80%
Benefits/Limitations of the neural network
1. Optimal architecture neural networks can be successfully.
2. Outside boundary and operating conditions NN does not predictable.
3. The ultimate goal of this work is to develop an advanced control technique.
4. This work leads to preparing data set in Industrial Data Space.
AI and Neural Network Project

5. 13 June 2020
Industrial Data Space
Data becomes a strategic resource
Value
Time
Data as
Process
Result
Data as
Enabler of
Processes
Data as
Enabler of
Products
Data as
Products
The »Industrial Data Space«
is a virtual data space using
standards and common governance
models to facilitate the secure
exchange and easy linkage of data in
business ecosystems.
It thereby provides a basis for
creating and using smart services
and innovative business processes,
while at the same time ensuring
digital sovereignty of data owners.
Source : Fraunhofer-Gesellschaft : INDUSTRIAL DATA SPACE

6. 13 June 2020
Logistic
Network
Commercial
services
Digitized Services
Offering
Knowledge
Collaboration
and partnership
Smart
Data
Management
Flow of information Flow of Goods
Customer
Partnership
Data
Link
Logistic
Public data
Data from the
value creation chain
Source : Fraunhofer-Gesellschaft : INDUSTRIAL DATA SPACE
Digitized Value
Creation
Printing
ProductionFactory
Industrial Data Space and Digital Transformation
Industrial Data Space

7. 13 June 2020
Real
Model
Sensors
IOT
Machine Data
Virtual Twin
Creative
& Design
objects Input Data
Mix reality
Preventive Maintenance
Paper Thickness
Ink Type
UV/non UV
Coating
Product
Output
Human
machine
collaboration
Command
Data
Speed
Production
Ink Volume
Paper Type
Rolling speed
Machine Temp.
Rolling Vibration
Artificial Narrow Intelligent Source : Fraunhofer-Gesellschaft : INDUSTRIAL DATA SPACE
Industrial Data Space VS Artificial Narrow Intelligent Industrial Data Space

8. 13 June 2020
Smart
Data
Management
Big data
Automation
Optimization
Data analytics
Model predictive
Artificial Narrow Intelligent
Source : Fraunhofer-Gesellschaft : INDUSTRIAL DATA SPACE
Industrial Data Space and Digital Transformation
Industrial Data Space
Case Study :
Transportation
Management
System &
Business
Intelligent

9. 13 June 2020
Industrial Data Space
Case Study : Transportation Management System & Business Intelligent

10. 13 June 2020
Proof of Delivery System
Real-Time and
tracking system
Vehicle Routing Planning
Communication System
Instant messaging Voice over internet
1.
2.
3.
4.
Industrial Data Space
Transportation Management System & Business Intelligent
Results and Improvement
- Customer satisfaction >90%
- Fuel cost reduced 14%
- Miss delivery reduced 67%
- Planning efficiency improved 33%

11. 13 June 2020
Global Competitiveness Index 2019
Innovation Transformation

12. 13 June 2020
Basic &
Applied
Research
Translational
Development
Clinical Evaluation &
Regulatory Approval
Adoption &
Diffusion
Science Commercial
Gap in Research development and Innovation
Government &
Universities
Private sector
GAP
Investment
ที่มา : https://blog.thegfcc.org/universities-are-wellsprings-of-innovation-drivers-of-regional-economies-8a3c097e6cc
Innovation Transformation

13. Thailand Innovation and Innovation Management
Less financial resource
Challenges
Limited market power
Lack systematics innovation
management capability
Lack network and cooperation
with public and private R&D
Limited creative idea and
Hi-technology support
Challenges and
Opportunities of
Organization,
Startup,
Regional,
Base Of Pyramid,
and BCG
Flexibility and speed in decision
making
Smallness and Unique
value proposition
High value of personal networks
and relationship
Strong connection with R&D and
applied research university
Business specialization
Opportunities
Entrepreneurial leader Entrepreneurial culture
Innovation Transformation

14. 13 June 2020
Functional Model of Innovation Eco-System
Knowledge
User
Knowledge
Producer
Public
Sector
Private
Sector
Social, Human Capital &
Educational
Research Capacity :
Basic/Applied research
Technology &
Innovation Performance
Absorptive Capacity
and Corporate Venture
Innovation Transformation
Bernd Kadura
Source:
Strengthening
Innovation
Systems.
Foundation,
Concept and
Strategic Approach
- University Teaching
- S&T base training and Education
- Community
- Research University
- Government Laboratories - Industrial Research
- Product Development
- Process Development
- Market for Goods and Services
- Follower firm & users
- Investor and Venture Capital

15. 13 June 2020
Conclusion
1. AI, Neural Network can help automate the industrial
process and increase work potential.
2. IDS as a platform to create confidence in the exchange
industrial data are safe and secure.
3. Innovation Eco-System enhances productivity and value, in
addition, institutions that promote research and innovation
must be strong in order to play an important role in
enhancing competitiveness.

16. 13 June 2020
Thank you
Together
we fight against
COVID-19
12 June 2020