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Developing an IoT System FIWARE
based from the scratch
About me: Jose Benitez
Cofounder and CEO at Secmotic
Project manager, FIWARE developer, IoT Lover
Telecommunication Engineer (electronic & computer)
Objective
Connect 2 devices using different IoT
Protocols to a cloud
Intel Edison
Ultra lightwieght 2.0 (UL2.0)
Raspberry Pi
Lightweight Machine to Machine (LWM2M)
Tools
• A Cloud. In our case: FIWARE LAB
• FIWARE Generic Enblers
• Orion Context Broker
• IDAS (LWM2M & UL2.0) iot Agents
• Dashboard for represent data
• Freeboard
Architecture
Instance in FIWARE LAB
IDAS
Theory: What is this again..?
Intel Edison
Ultra lightwieght 2.0 (UL2.0)
Raspberry Pi
Lightweight Machine to Machine (LWM2M)
Steps
1. Instance in FIWARE LAB: Creation of an instance, configuration of security groups, static IP
allocation
2. Instance configuration: access via ssh, docker installation
3. Configuring the architecture with docker-compose
1. The docker-compose.yml
2. Configuring the containers (orion, mongo, iotagent#1, iotagent#2)
4. Configuring the devices
1. Configuring the intel edison to use UL2.0 and its sensors
2. Configuring the raspberry to use LWM2M with waakama
5. Connecting the devices to the cloud and see the real time changes
6. Data visualization via Freeboard.io
DONT GET LOST!
IF YOU HAVE DOUBTS, STOP ME!
CreativeTechnological
Solutions
info@secmotic.com
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Developing an IoT System FIWARE Based from the Scratch

  • 1. Developing an IoT System FIWARE based from the scratch
  • 2. About me: Jose Benitez Cofounder and CEO at Secmotic Project manager, FIWARE developer, IoT Lover Telecommunication Engineer (electronic & computer)
  • 3. Objective Connect 2 devices using different IoT Protocols to a cloud Intel Edison Ultra lightwieght 2.0 (UL2.0) Raspberry Pi Lightweight Machine to Machine (LWM2M)
  • 4. Tools • A Cloud. In our case: FIWARE LAB • FIWARE Generic Enblers • Orion Context Broker • IDAS (LWM2M & UL2.0) iot Agents • Dashboard for represent data • Freeboard
  • 6. Theory: What is this again..? Intel Edison Ultra lightwieght 2.0 (UL2.0) Raspberry Pi Lightweight Machine to Machine (LWM2M)
  • 7. Steps 1. Instance in FIWARE LAB: Creation of an instance, configuration of security groups, static IP allocation 2. Instance configuration: access via ssh, docker installation 3. Configuring the architecture with docker-compose 1. The docker-compose.yml 2. Configuring the containers (orion, mongo, iotagent#1, iotagent#2) 4. Configuring the devices 1. Configuring the intel edison to use UL2.0 and its sensors 2. Configuring the raspberry to use LWM2M with waakama 5. Connecting the devices to the cloud and see the real time changes 6. Data visualization via Freeboard.io DONT GET LOST! IF YOU HAVE DOUBTS, STOP ME!