Intelligent Decision Making Assistant (IDMA) for SAL improvement IDMA based on AI techniques using Internet Of Things(IOT) according to movement map of Staff , Equipment and Machines Authors: Mohammad Sabouri- Robotics Engineering Behnam Jabbari kalkhoran – Robotics Engineering Loria Davide – Civil Engineering IDEA: An optimized methodology which leads to AI based software with the extraction of data from IOT sensors to analyze project data and provide real-time insights for intelligent decision making that leads to improved SLA in construction sites. With features like predictive analytics, resource optimization, and risk management.

1. Authors:
Mohammad Sabouri- Robotics Engineering
Behnam Jabbari kalkhoran – Robotics Engineering
Loria Davide – Civil Engineering
Intelligent Decision Making Assistant
(IDMA) for SAL improvement
IDMA based on AI techniques using Internet Of Things(IOT)
according to movement map of Staff , Equipment and Machines

2. TEAM ARTEMIS
2
THE TEAM
Behnam Jabbari
kalkhoran
CEO
Mohammad Sabouri
CTO
Loria Davide
CTO

3. Our Creative Idea
3
An optimized methodology which leads to AI based
software with the extraction of data from IOT sensors to
analyze project data and provide real-time insights for
intelligent decision making that leads to improved SLA in
construction sites. With features like predictive analytics,
resource optimization, and risk management

4. Problem description
4
PROBLEM
Less
control on
staff &
Machines
Less time
management
Lower
mitigation
 of the Risk
Storage
management
Lower
Machine
monitoring
Growing
costs

5. State of the Art
5
How the problem is currently handled and what are the proposed innovations in the field?
BIM software
Twining modelling
Field investigations by experts
Fast machine replacements
Hiring people from different fields with different expertise
Do any industrial players target this problem?
By the improving of the level of knowledge & progress of science in different fields such as Deep
Learning, Machine learning, and Industrial Robotics, different industrial companies are changing their
focus to new mentioned technologies as an obvious recent example we can mention technologic based
construction and building management and structure destruction for QATAR WORLD CUP 2022.

6. Solution
6
It is possible to map staff activities using IoT sensors in a construction site SAL by
tracking the movement of personnel and equipment with the help of IoT sensors. Here
are some ways that IoT sensors can be used to map staff activities:
Location tracking
Motion detection
Environmental monitoring
Proximity sensing

7. Data Collection sensors
7
SENSOR ECO-
SYSTEM
Mounted
Cameras
Wearable
sensors
Heat
sensors
Speed
sensors
Cloth
mounted
cameras
Growing
costs
Then AI algorithms will be implemented on data coming from sensory activities, by leveraging AI- project
managers can optimize the use of resources, improve safety, and make more informed decisions that are
based on real-time data and insights.

8. Solution
8
Time
Management
Cost
Management
Efficiency
AI integrated Software based system
Suggested Solutions
by the IDMA
Customers
satisfaction

9. 9
Solution

10. Solution
10
Data
Analysis
Predictive
Analytics
Optimization
Decision
Support
IDMA
 Data analysis: AI can be used to analyze large amounts of data
collected by IoT sensors in real-time. By analyzing this data, AI can
identify patterns and anomalies in staff activities, and provide
insights to help project managers make informed decisions.

11. Solution
11
Data
Analysis
Predictive
Analytics
Optimization
Decision
Support
IDMA
 Predictive analytics: AI can be used to predict future trends in staff
activities based on past data. This can help project managers
anticipate potential issues and take proactive measures to mitigate
them.

12. Solution
12
Data
Analysis
Predictive
Analytics
Optimization
Decision
Support
IDMA
 Optimization: AI can be used to optimize the use of resources by
identifying areas where resources can be better utilized. For example,
AI can analyze data from IoT sensors to identify areas where
equipment is not being used efficiently, and recommend changes to
optimize their usage.

13. Solution
13
Data
Analysis
Predictive
Analytics
Optimization
Decision
Support
IDMA
 Decision support: AI can provide decision support to project managers
by analyzing data from IoT sensors and providing recommendations
based on that data. This can help project managers make informed
decisions that are based on real-time data and insights.

14. Business Model Canvas: IDMA in construction site
14
Key Partners
1. Sensors
Manufacturers
2. Software
produce
3. Hosting
providers
4. Insurance
companies
Key activities
1. Method and soft
ware envelopment
2. B2B and B2C process
3. Scientific
collaborations
4. logistics
Key Resources
1. Intellectual Property
2. Financial Resources
3. Method & Software
4. Human Resources
(HR)
Value
Propositions
1. Innovation in
the field
2. Risk Reduction
3. Increase of
productivity
4. Optimization in
the construction
site
5. Higher HSE
factors
6. More systematic
operations
Revenue Streams
1. Direct sale 4. Subscription fees
2. Installation fees 5. Asset sale
3. Advertising 6. Joint cooperations
Customer
Relationship
1. Personal
assistance
2. Community
3. Automated
service
4. CRM systems
Channels
1. Web sales
2. Partner store
3. Wholesale
4. Own stores
5. Bid base sale
markets
Customer
Segments
1. Mass market
2. Niche market
3. Multi sided
platform
4. Joint
consolidations
5. Multinational
Consortiums
6. Governmental
Organizations
Cost Structure
1. Hardware production cost 4. Logistic cost
2. Personnel cost 5.Product development
3. Marketing cost

15. Business Model Canvas: IDMA in construction site
15
Key Partners
1. Sensors
Manufacturers
2. Software
produce
3. Hosting
providers
4. Insurance
companies
Key activities
1. Method and soft
ware envelopment
2. B2B and B2C process
3. Scientific
collaborations
4. logistics
Key Resources
1. Intellectual Property
2. Financial Resources
3. Method & Software
4. Human Resources
(HR)
Value
Propositions
1. Innovation in
the field
2. Risk Reduction
3. Increase of
productivity
4. Optimization in
the construction
site
5. Higher HSE
factors
6. More systematic
operations
Revenue Streams
1. Direct sale 4. Subscription fees
2. Installation fees 5. Asset sale
3. Advertising 6. Joint cooperations
Customer
Relationship
1. Personal
assistance
2. Community
3. Automated
service
4. CRM systems
Channels
1. Web sales
2. Partner store
3. Wholesale
4. Own stores
5. Bid base sale
markets
Customer
Segments
1. Mass market
2. Niche market
3. Multi sided
platform
4. Joint
consolidations
5. Multinational
Consortiums
6. Governmental
Organizations
Cost Structure
1. Hardware production cost 4. Logistic cost
2. Personnel cost 5.Product development
3. Marketing cost

16. Business Model Canvas: IDMA in construction site
16
Key Partners
1. Sensors
Manufacturers
2. Software
produce
3. Hosting
providers
4. Insurance
companies
Key activities
1. Method and soft
ware envelopment
2. B2B and B2C process
3. Scientific
collaborations
4. logistics
Key Resources
1. Intellectual Property
2. Financial Resources
3. Method & Software
4. Human Resources
(HR)
Value
Propositions
1. Innovation in
the field
2. Risk Reduction
3. Increase of
productivity
4. Optimization in
the construction
site
5. Higher HSE
factors
6. More systematic
operations
Revenue Streams
1. Direct sale 4. Subscription fees
2. Installation fees 5. Asset sale
3. Advertising 6. Joint cooperations
Customer
Relationship
1. Personal
assistance
2. Community
3. Automated
service
4. CRM systems
Channels
1. Web sales
2. Partner store
3. Wholesale
4. Own stores
5. Bid base sale
markets
Customer
Segments
1. Mass market
2. Niche market
3. Multi sided
platform
4. Joint
consolidations
5. Multinational
Consortiums
6. Governmental
Organizations
Cost Structure
1. Hardware production cost 4. Logistic cost
2. Personnel cost 5.Product development
3. Marketing cost

17. Business Model Canvas: IDMA in construction site
17
Key Partners
1. Sensors
Manufacturers
2. Software
produce
3. Hosting
providers
4. Insurance
companies
Key activities
1. Method and soft
ware envelopment
2. B2B and B2C process
3. Scientific
collaborations
4. logistics
Key Resources
1. Intellectual Property
2. Financial Resources
3. Method & Software
4. Human Resources
(HR)
Value
Propositions
1. Innovation in
the field
2. Risk Reduction
3. Increase of
productivity
4. Optimization in
the construction
site
5. Higher HSE
factors
6. More systematic
operations
Revenue Streams
1. Direct sale 4. Subscription fees
2. Installation fees 5. Asset sale
3. Advertising 6. Joint cooperations
Customer
Relationship
1. Personal
assistance
2. Community
3. Automated
service
4. CRM systems
Channels
1. Web sales
2. Partner store
3. Wholesale
4. Own stores
5. Bid base sale
markets
Customer
Segments
1. Mass market
2. Niche market
3. Multi sided
platform
4. Joint
consolidations
5. Multinational
Consortiums
6. Governmental
Organizations
Cost Structure
1. Hardware production cost 4. Logistic cost
2. Personnel cost 5.Product development
3. Marketing cost

18. Business Model Canvas: IDMA in construction site
18
Key Partners
1. Sensors
Manufacturers
2. Software
produce
3. Hosting
providers
4. Insurance
companies
Key activities
1. Method and soft
ware envelopment
2. B2B and B2C process
3. Scientific
collaborations
4. logistics
Key Resources
1. Intellectual Property
2. Financial Resources
3. Method & Software
4. Human Resources
(HR)
Value
Propositions
1. Innovation in
the field
2. Risk Reduction
3. Increase of
productivity
4. Optimization in
the construction
site
5. Higher HSE
factors
6. More systematic
operations
Revenue Streams
1. Direct sale 4. Subscription fees
2. Installation fees 5. Asset sale
3. Advertising 6. Joint cooperations
Customer
Relationship
1. Personal
assistance
2. Community
3. Automated
service
4. CRM systems
Channels
1. Web sales
2. Partner store
3. Wholesale
4. Own stores
5. Bid base sale
markets
Customer
Segments
1. Mass market
2. Niche market
3. Multi sided
platform
4. Joint
consolidations
5. Multinational
Consortiums
6. Governmental
Organizations
Cost Structure
1. Hardware production cost 4. Logistic cost
2. Personnel cost 5.Product development
3. Marketing cost

19. Business Model Canvas: IDMA in construction site
19
Key Partners
1. Sensors
Manufacturers
2. Software
produce
3. Hosting
providers
4. Insurance
companies
Key activities
1. Method and soft
ware envelopment
2. B2B and B2C process
3. Scientific
collaborations
4. logistics
Key Resources
1. Intellectual Property
2. Financial Resources
3. Method & Software
4. Human Resources
(HR)
Value
Propositions
1. Innovation in
the field
2. Risk Reduction
3. Increase of
productivity
4. Optimization in
the construction
site
5. Higher HSE
factors
6. More systematic
operations
Revenue Streams
1. Direct sale 4. Subscription fees
2. Installation fees 5. Asset sale
3. Advertising 6. Joint cooperations
Customer
Relationship
1. Personal
assistance
2. Community
3. Automated
service
4. CRM systems
Channels
1. Web sales
2. Partner store
3. Wholesale
4. Own stores
5. Bid base sale
markets
Customer
Segments
1. Mass market
2. Niche market
3. Multi sided
platform
4. Joint
consolidations
5. Multinational
Consortiums
6. Governmental
Organizations
Cost Structure
1. Hardware production cost 4. Logistic cost
2. Personnel cost 5.Product development
3. Marketing cost

20. Business Model Canvas: IDMA in construction site
20
Key Partners
1. Sensors
Manufacturers
2. Software
produce
3. Hosting
providers
4. Insurance
companies
Key activities
1. Method and soft
ware envelopment
2. B2B and B2C process
3. Scientific
collaborations
4. logistics
Key Resources
1. Intellectual Property
2. Financial Resources
3. Method & Software
4. Human Resources
(HR)
Value
Propositions
1. Innovation in
the field
2. Risk Reduction
3. Increase of
productivity
4. Optimization in
the construction
site
5. Higher HSE
factors
6. More systematic
operations
Revenue Streams
1. Direct sale 4. Subscription fees
2. Installation fees 5. Asset sale
3. Advertising 6. Joint cooperations
Customer
Relationship
1. Personal
assistance
2. Community
3. Automated
service
4. CRM systems
Channels
1. Web sales
2. Partner store
3. Wholesale
4. Own stores
5. Bid base sale
markets
Customer
Segments
1. Mass market
2. Niche market
3. Multi sided
platform
4. Joint
consolidations
5. Multinational
Consortiums
6. Governmental
Organizations
Cost Structure
1. Hardware production cost 4. Logistic cost
2. Personnel cost 5.Product development
3. Marketing cost

21. Business Model Canvas: IDMA in construction site
21
Key Partners
1. Sensors
Manufacturers
2. Software
produce
3. Hosting
providers
4. Insurance
companies
Key activities
1. Method and soft
ware envelopment
2. B2B and B2C process
3. Scientific
collaborations
4. logistics
Key Resources
1. Intellectual Property
2. Financial Resources
3. Method & Software
4. Human Resources
(HR)
Value
Propositions
1. Innovation in
the field
2. Risk Reduction
3. Increase of
productivity
4. Optimization in
the construction
site
5. Higher HSE
factors
6. More systematic
operations
Revenue Streams
1. Direct sale 4. Subscription fees
2. Installation fees 5. Asset sale
3. Advertising 6. Joint cooperations
Customer
Relationship
1. Personal
assistance
2. Community
3. Automated
service
4. CRM systems
Channels
1. Web sales
2. Partner store
3. Wholesale
4. Own stores
5. Bid base sale
markets
Customer
Segments
1. Mass market
2. Niche market
3. Multi sided
platform
4. Joint
consolidations
5. Multinational
Consortiums
6. Governmental
Organizations
Cost Structure
1. Hardware production cost 4. Logistic cost
2. Personnel cost 5.Product development
3. Marketing cost

22. Business Model Canvas: IDMA in construction site
22
Key Partners
1. Sensors
Manufacturers
2. Software
produce
3. Hosting
providers
4. Insurance
companies
Key activities
1. Method and soft
ware envelopment
2. B2B and B2C process
3. Scientific
collaborations
4. logistics
Key Resources
1. Intellectual Property
2. Financial Resources
3. Method & Software
4. Human Resources
(HR)
Value
Propositions
1. Innovation in
the field
2. Risk Reduction
3. Increase of
productivity
4. Optimization in
the construction
site
5. Higher HSE
factors
6. More systematic
operations
Revenue Streams
1. Direct sale 4. Subscription fees
2. Installation fees 5. Asset sale
3. Advertising 6. Joint cooperations
Customer
Relationship
1. Personal
assistance
2. Community
3. Automated
service
4. CRM systems
Channels
1. Web sales
2. Partner store
3. Wholesale
4. Own stores
5. Bid base sale
markets
Customer
Segments
1. Mass market
2. Niche market
3. Multi sided
platform
4. Joint
consolidations
5. Multinational
Consortiums
6. Governmental
Organizations
Cost Structure
1. Hardware production cost 4. Logistic cost
2. Personnel cost 5.Product development
3. Marketing cost

23. Business Model Canvas: IDMA in construction site
23
Key Partners
1. Sensors
Manufacturers
2. Software
produce
3. Hosting
providers
4. Insurance
companies
Key activities
1. Method and soft
ware envelopment
2. B2B and B2C process
3. Scientific
collaborations
4. logistics
Key Resources
1. Intellectual Property
2. Financial Resources
3. Method & Software
4. Human Resources
(HR)
Value
Propositions
1. Innovation in
the field
2. Risk Reduction
3. Increase of
productivity
4. Optimization in
the construction
site
5. Higher HSE
factors
6. More systematic
operations
Revenue Streams
1. Direct sale 4. Subscription fees
2. Installation fees 5. Asset sale
3. Advertising 6. Joint cooperations
Customer
Relationship
1. Personal
assistance
2. Community
3. Automated
service
4. CRM systems
Channels
1. Web sales
2. Partner store
3. Wholesale
4. Own stores
5. Bid base sale
markets
Customer
Segments
1. Mass market
2. Niche market
3. Multi sided
platform
4. Joint
consolidations
5. Multinational
Consortiums
6. Governmental
Organizations
Cost Structure
1. Hardware production cost 4. Logistic cost
2. Personnel cost 5.Product development
3. Marketing cost

24. IDMA in construction site
24

25. IDMA in construction site
25
Strengths
• Data analysis
• Predictive Analysis
• Decision support
• Optimization
• Easier Monitoring
• Easier maintenance
Weaknesses
• Vast amount of data
• Hacking issues and data
breach
• No road map in construction
site
Opportunities
• Increase efficiency of the
construction site
• Increase safety
• Management development
• HSE execution development
Threats
• Cost of installation
• Liability concerns
• Customer Expectations

26. 26
Strengths
• Data analysis
• Predictive Analysis
• Decision support
• Optimization
• Easier Monitoring
• Easier maintenance
Weaknesses
• Vast amount of data
• Hacking issues and data
breach
• No road map in construction
site
Opportunities
• Increase efficiency of the
construction site
• Increase safety
• Management development
• HSE execution development
Threats
• Cost of installation
• Liability concerns
• Customer Expectations
IDMA in construction site

27. 27
Strengths
• Data analysis
• Predictive Analysis
• Decision support
• Optimization
• Easier Monitoring
• Easier maintenance
Weaknesses
• Vast amount of data
• Hacking issues and data
breach
• No road map in construction
site
Opportunities
• Increase efficiency of the
construction site
• Increase safety
• Management development
• HSE execution development
Threats
• Cost of installation
• Liability concerns
• Customer Expectations
IDMA in construction site

28. 28
Strengths
• Data analysis
• Predictive Analysis
• Decision support
• Optimization
• Easier Monitoring
• Easier maintenance
Weaknesses
• Vast amount of data
• Hacking issues and data
breach
• No road map in construction
site
Opportunities
• Increase efficiency of the
construction site
• Increase safety
• Management development
• HSE execution development
Threats
• Cost of installation
• Liability concerns
• Customer Expectations
IDMA in construction site

29. 29
Thanks for your precious
attention

30. 30
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questions