Use of Robotics/Sensors in Geospatial technology (GIS)

1. Welcome to
WynTech
Integration of
Robotic (Sensors) with
Geospatial Technology in Smart City
Applications
by Swaran Singh Jaggi
- At SSN ollege, Delhi University
- On 14th May 2020
Wyn Technology Pvt. Ltd.
www.wyntechnology.com, Contact: 9899336955
Email ID:swaran.jaggi@gmail.com,swaran.jaggi@wyntechnology.com

2. Abstract
Sensors, robotics, camera, machine learning,
encryption, cloud computing, software and
hardware are converging in to an real-time
application called SMART CITY System.
Hence smart city application is an integration of
technologies which provide
• Automatic
• Semi-automatic and
• Decision support (strategic analysis - long term)
Real time solution for SMART CITY
GATE

3. Topic Covered
1. Sensors
2. GIS & Geospatial Application
3. Existing example – Precision farming
4. Integration of sensors with GeoS applications
5. Smart Cities
6. Future integration ideas
7. Conclusion
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4. Sensors
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5. What are sensors?
A sensor is a an electronic circuit which
evaluate an attribute and give the resultant
back in circuit
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Electronic sensor circuits convert
light, temperature, sound, and
other signals into a form that
can be processed by electronic
circuits.

6. What are sensors?
A sensor is a
• Device,
• Module, or
• Subsystem
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7. Working?
whose purpose is to
• Detect events/changes in its environment
and
• Responds/send the information to other
electronics,
For example
• light or
• as complex as a computer
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8. Working?
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•Touch sensor (lift
button)
•Motion sensor
•Light sensor (dawn
to dusk)
•BIN Level sensor

9. IoT – Internet of Things
When we add sensors to something – we
grant that “thing” (object, vehicle, machine,
infrastructure or any thing) – the ability to
communicate about itself through the
network with the user or a complex system
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10. Application of sensors (IoT) – giving
our world a digital nervous system?
IoT automates operations by automatically gathering
information about physical assets such as
• Devices,
• Machines,
• Equipment,
• Vehicles,
• Infrastructure,
• Facilities etc
Visibility into status and behaviors enables optimization of
control, processes, and resources. Sensors enable
devices to capture the physical reality of things through a
wide range of functions.
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11. Application of sensors (IoT) – giving
our world a digital nervous system?
Analysis and Visibility of status and behaviors
enables optimization of
• control,
• processes, and
• resources.
Hence, Sensors enable devices to capture the
physical reality of things through a wide range
of functions.
Providing digital nervous system
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12. Application of sensors (IoT) – giving
our world a digital nervous system?
Cell phone has 8 and 11 sensors
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13. GeoS Applications
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14. What is GeoST?
System for storing and
retrieving geographic
information
GATE

15. Geospatial Technology definition
“GIS is a computer system capable of assembling,
storing, manipulating, and displaying
geographically referenced information, i.e. data
identified according to their locations.”
Science of Geographical feature is called GIS ---
Swaran Jaggi
A GIS is an organized collection of computer
hardware, software, geographic data, and
personnel to efficiently capture, store, update,
manipulate, analyze, and display all forms of
geographically referenced information.”
GATE

16. What is GeoST?
An integration of five basic components
GATE

17. Spatial analysis (application) in GIS
Slope and Aspect
Data analysis
Topological modeling
Geometric networks
Hydrological modeling
Cartographic modeling
Map overlay
Geostatistics
Address geocoding
Multi-criteria decision analysis
Data output and cartography
GATE

18. Examples Applications
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19. Precision Agriculture
Modeling and parameter collection using drone
for
1. Crop estimation - NDVI
2. Farm mapping including plants
3. Water
4. fertilizer
5. pesticides
GATE

20. Precision Farming
1. Standard color camera
2. Infrared camera
3. Thermal camera
GATE

21. Precision Farming
1. Canopy size – leaf area index
GATE

22. Precision Farming
1. By commbining visual and infrared image we can
calculate NDVI
GATE

23. Precision Farming
1. Chlorosis – Yellowing of leaves
GATE

24. Precision Agriculture - Analysis
• No. of fruits on each tree
– Produce (optimise the production chain
downstream)
• Water/fertilizer required
• Pesticides needed
Benefits
• Water saving 25%
• Production increase 10%
GATE

25. Applications of robots/sensors?
• Agriculture
• Surveillance/Boarder security
• Medical
• Photography/film production
• Manufacturing/production
• Infrastructure inspection
• Survey and mapping
• Environment
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26. Applications of robots/sensors in smart
cities
The immediate goal of sensors is to
• Collect data and
• Pass it to a central cloud management platform.
Actuators (control mechanism) allow devices to act
• Alter the lights,
• Restrict the flow of water to the pipe with
leakage, etc.
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27. Applications of robots/sensors in smart
cities
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28. Integration?
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DSS
Analysis
Display
GeoS Application
H/w
Apps
Robot/
Sensor
GPS

29. Smart Cities
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30. Open up new vistas
for real life role of
Integrated Geospatial
Technology
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31. Existing Situation
Decades of unplanned urbanization gave rise to:
• Transport perils,
• Sanitation hazards,
• Slums,
• Inadequate housing,
• Corruption,
• Rampant pollution and
• Rise of global epidemics like Ebola and Zika.
Together with vulnerabilities to extreme weather
patterns, the problems of urbanization have
become global concerns.
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32. What is Smart City?
The Smart City concept is a tech savvy
way to address issues of unplanned
urbanization.
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33. Smart City- Definition
A Smart City is based on
•Knowledge and innovation,
•Functioning 24 x7 in a cloud environment,
•For best citizen services and
•Sustainable practices.
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34. Comprehensive definition
A comprehensive definition would be
“A data-driven urban environment aimed at
sustainability, transparency and efficiency,
driven by an ICT enabled model rendering a visual
framework, and a seamless use of disruptive
technologies in various application scenarios, served
by an intelligent community framework”.
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35. How GIS is central to Smart Cities
The geospatial
structure in a Smart
City ecosystem, can
serve any or all of the
above functions. E g.
Hamburg implements
GIS in a smart energy-
efficient housing
initiative,
while Stockholm focuse
s on smart e-services.
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36. Smart City
Smart City GIS is thus an integrated cross-sectoral platform to
•Collect,
•Manage,
•Compile,
•Analyze and
•Visualize spatio-temporal information
for sustainable urban planning, development and
management.
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37. GIS in Smart Cities
In addition to the components of GIS, the Smart City
GIS framework has to be ‘always-on’ and connected
for a seamless flow of information.
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38. Stakeholders
•Government,
•Private players and
•Community / citizen
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39. Government
Government (local) as the policy maker, planner, facilitator,
service provider, infrastructure provider, centralized repository
of information (web portals, digitized municipal records) or
primary participant in public-private partnerships
•
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40. Private players
Private Players as infrastructure and service enablers –
builders, contractors, data providers, service providers,
analysts or participant in public-private partnerships
•
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41. Community
Community / citizen body as the user of public assets and
services, as active participant in open governance, and a vital
link in the ‘connected communities’ set-up that sets apart a
smart city.
•
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42. How GIS Is Used in the Planning and
Development of Smart Cities
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43. GIS is deployed at every stage of planning and
development of a Smart City. The underlying
framework is served by ICT (Information and
Communications Technologies), while the focus
is on the ‘spatial’ or GIS. The common platform
operates through all stages of the life cycle –
from modeling, planning, building to managing
– across the full spectrum of functionalities.
•
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44. GIS DEPLOYMENT THROUGH THE SMART CITY LIFE CYCLE
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45. Spatial planning
Spatial planning – with one or more thrust areas of
deployment. For instance, an existing city may focus on smart
solid waste management using big data and GIS (Sweden, San
Francisco), while a new city may be developed wholly as a
‘green’ tourist hub (Lavasa, India).
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46. Spatial planning
GIS-ICT – underlying scalable framework, with seamless flow
of data / information; connecting departments and
stakeholders
Collecting – digitization of geodata, spatial databases,
sourcing data critical to ‘smart’ city management
Processing – data management in real time, maintenance of
open data protocols, integrating service oriented architecture
(SOA) with a data service architecture that leaves no place for
data silos
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47. Spatial planning
Communicating – a two-way flow of information between
participants, stakeholders and citizens; real time alerts and
action in a distributed computing environment.
Analysis – crunching of structured (digitized) and
unstructured (social, surveys) big data for analysis in real
time.
Data-driven decision making – the ‘always connected’
ecosystem, makes possible real time managements and
decision making
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48. HOW GIS UNLOCKS THE VALUE OF A DIGITIZED URBAN
ECOSYSTEM
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49. SOFTWARE PLATFORMS, APPLICATIONS AND
TECHNOLOGIES IN USE
Software / Platform – ESRI City Engine, ArcGIS Water
Utility solutions, GIS Cloud and more
Tools –ESRI-India’s smart planning tools, SAP software
platform, Hexagon Geospatial, SuperGeo Geospatial
Corporation, and others
Technologies – Remote Sensing, LIDAR, GPR, BIM,
UAV/sUAS, smart sensors, beacons, augmented reality
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50. AREAS OF DEPLOYMENT
Land use planning, comprehensive waste
management, climate resilience of city and
community, smart transportation grid, smart utilities
metering and grid, smart open data governance,
smarter community services, slum management,
energy efficient buildings, smart energy grid /
renewable energy framework, smart water
(Tauranga), asset management, e-services, planning
and analysis in 3D (Auckland), citizen services.
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51. Future Ideas
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52. Ideas
1. Crop estimation using drone
2. Orchard mapping including plant count
3. Pollution eating robots
4. Weather mobile/fix station
5. Drilling mouse
6. Survey bicycle using GPS sensor for street
survey and POI captures
7. Criminal vehicle tracking using magnetic GPS
8. Location based pollution sensors - Integration
of gases (pollution) sensors with GPS
9. moisture detector
GATE

53. Conclusion
1. Integration of sensors with GeoS application
makes it online/real time GeoS-application
2. Integration of sensors makes GeoS
application more smart and update it, in real
time
GATE

54. GATE
Thanks
Swaran Singh Jaggi, Email ID:swaran.jaggi@gmail.com
Contact: 9899336955