This slides covers the basics factors and future requirements which needs to be covered as part of Smart city IoT solutions, so that they can be successful and attain its goals.
3. Why Smart Cities?
Smart Homes Smart Community Smart City Smart State Smart Nation
Lowest level of
Administration with
funding from tax
Focus on both near term
and long term goals
Affects comfort and
efficiency in day to day life
Individual ownership on
success
Maturity in Technology
Adoption
Responsible consumption
Addresses local problems
and needs
Shared resources
Planning for future
Define and implement
policies
Budget allocation to cities
Addresses different
domains and their needs
Holistic high level approach
and blueprint
Plan for funding
Enable funding
International relationships
and technology transfer
Treaties and commitments
Disaster
Management
Resource
Management
Environmental
Management
Quality of life Economic BenefitsOutcome and
Goals
4. Smart Water
Smart Homes Smart Community Smart City Smart State Smart Nation
Water
Conservation
Protecting
water bodies
Quality and
Quantity of Supply
Crisis & Disaster
management
Economic BenefitsOutcome and
Goals
DMA 1 DMA 2 DMA n
Residential
Industrial
Ground
water
STP Plants
RWH
Dams River Linking
Projects
Agriculture
Residential
Industrial Diversified
Landscape
Laws and
Guidance
Budget
Allocation
Inter state
Projects
Tankers
5. Smart Cities & IoT – Building blocks
Smart City Smart State Smart Nation
Reliable
communication
Infrastructure
Lower cost of
Operation
Scalable and
Reliable
Technology
AI and Human
intelligence of
Data
Time to ReactSuccess Factors
Sensors
Controllers
Edge
Devices
Shared Asset
Communication
infra
Smart Homes Smart Community
Data Platform
Labour
Management
Remote control
Data Platform
Finance
Managem
ent and
allocation
Using Satellite and
remote sensing
data
Using Satellite and
remote sensing
data
Holistic Data
Platform
Infra
readiness Intra departmental
co-ordination
Fraud detection
6. Smart City – Smart Nation - Stages
Data
collectio
n
Multiple type
data
consolidation
Corelate with External Data (Weather etc)
Policy an Decision making powered
by data
Control
And
visualization
Data Analytics
AI
Inter domain data
correlation,
Preditcion, AI
Track progress with
goals and correct
measure
Time, Domains
Impact/Benefit-PeopleBenefitted
7. Smart Cities – Desired Features
• Water Distribution
• Electricity distribution
• Land management
• Waster collection, segregation and recycling
• Public Transport management
• Traffic management
• PDS supply
• Street light management
• Sewage management
• Public utilities usage and management
• Government operations (RTO , tax collection, query addressal etc)
• Business operation (Business registration, operation etc)
• Security and Law and order control
8. Smart Cities – Future Possibilities
• Use of Visual analytics for many automated decision making
• Wide spread use of Robots for civic maintenance
• Predominent use of drones for time sensitive mundane activities
• Integrated multi mode transport based on open standards
• Power to citizens as consumers of service. To have say on
maintenance and shutdown timings
• City planning and approval based on environment impact, infra
compatibility driven by data
9. Smart Cities – Existing Challenges
• Higher cost of installation an operation
• Higher cost of data communication using 2G
• Low battery life of devices
• Installation challenges in different localities for different utilities
• Lack of awareness from builders and households on need of Smart features
• Latest communication standards (NB-IoT, LoRA, 5G, BLE 5 ) not evolved and
adopted fully
• Old public infrastructure
• Poor maintenance of asset and infrastructures
10. Smart Cities –Challenges & Opportunities
• Handling E-Waste
• Data Security and Privacy
• Power demand for all the connected devices
Challenges
• Hardware design
• Opportunities in Data analysis
• Labour for maintenance and support
Opportunities