AWS IoT - Internet of Things

The Internet of things (IoT) is the connection of the real world and the internet; it will increase productivity and efficiency by using device data.


AWS

We help with IoT-services, for example:

  • AWS Greengrass
  • AWS IoT Core
  • AWS IoT Analytics

More information: aws.amazon.com/de/iot/



AWS AWS

Use cases:

"Together with our partner ratiokontakt, we developed an AWS Greengrass point-of-sale screen-control system as a proof-of-concept, which reduces the customer's field service cost by 75% and increases customers engagement by more than 200%."

- Carsten Schwiering, freshlabs


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Use Case "on-screen information-logging and controlling":

Goal: Remote control over a huge amount of screens for billing, logging and content-control..

Hardware used:

  • 45 Sony Brava XD FullHD, Intel NUC

AWS services:

  • AWS IoT Core: MQTT message broker
  • AWS Greengrass: Debian auf Intel NUC
  • AWS IoT Analytics: processing sensor data for further processing
  • Kinesis Firehose: Data transport
  • Athena: Analysis
  • Quicksight: Virtualisation
  • S3 and Aurora to storage logs

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Use Case "Gardening":

Goal: Greenhouse monitoring and irrigation system with sensor monitored ground-humidity, temperature and air-humidity. All data collected by the sensors are directly used to control the irrigation and statistically re-used.


Hardware used:

  • Sensors, Raspberry, Arduino, controlable valves, flowmeters

AWS services:

  • AWS IoT Core: MQTT message broker
  • AWS Greengrass: raspberry operation
  • AWS IoT Analytics: Sensor data processing for further processing
  • S3 and DynamoDB to store logs


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Use Case "Smart home / Housing Association":

Goal: Security of residents and prevention of damage, e.g. by monitoring water leaks, room temperatures, oil supply, smoke detectors or humidity at selected locations. Thus, even in the absence of residents. E.g. Water damage caused by defective washing machines or room fires can be quickly detected and eliminated.


Hardware used:

  • Sensors, Raspberry, Arduino, Smoke detectors

AWS services:

  • AWS IoT Core: MQTT message broker
  • AWS Greengrass: raspberry operation
  • AWS IoT Analytics: processing sensor data for further processing
  • S3 and DynamoDB to store logs
  • SNS for notivication in case of alarm

Use Case "Senior care":

Goal: In time detection of emergencies through activity monitoring via sensors for waterflow and electricity. Unusually long inactivities of power and water consumption as well as water leaks or generation of smoke relating to possible emergencies of a person.

Hardware used:

  • Sensoren, Raspberry, Arduino, smoke detectors

AWS services:

  • AWS IoT Core: MQTT message broker
  • AWS Greengrass: raspberry operation
  • AWS IoT Analytics: processing sensor data for further processing
  • S3 and Aurora to storage logs
  • SNS zur Benachrichtigung im Alarmfall

Use Case "Fleet Management":

Goal: Vehicle monitoring via GDPS and ODB2. Control of vehicle locations and vehicle diagnostics. Fuel usage, temperatures and driving data for statistics as well as vehicle trouble codes for just in time warning of damage possible.

Hardware used:

  • ODB2, Sensors, Raspberry, Arduino

AWS services:

  • AWS IoT Core: MQTT message broker
  • AWS Greengrass: raspberry operation
  • AWS IoT Analytics: processing sensor data for further processing
  • S3 and Aurora to storage logs

Use Case "Smarthome / Hotels":

Goal: to lower the heating costs and to secure the planet with lower usage of the heating system. On the basis of the data stored in the bookingsystem about the time the hotel guests arrive, the hotelroom will be heated to a normal room temperature (22°C). As soon as the guests check out, the temperature will be set to an stand-by mode on 10-15°C.

Hardware used:

  • Funkthermostate, Sensoren, Raspberry, Arduino

AWS services:

  • AWS IoT Core: MQTT message broker
  • AWS Greengrass: raspberry operation
  • AWS IoT Analytics: processing sensor data for further processing
  • S3 and Aurora to storage logs

Use Case "Haulage Warehouse Monitoring":

Goal: Avoiding damage, logging of conditions in prescribed time cycle, alarm in case of emergency. Warehouse and cold storage monitoring on water leakage, humidity and temperature deviation, fire.

Hardware used:

  • Sensors, Raspberry, Arduino, smoke detectors

AWS services:

  • AWS IoT Core: MQTT message broker
  • AWS Greengrass: raspberry operation
  • AWS IoT Analytics: Sensor data processing for further processing
  • S3 and DynamoDB to store logs
  • SNS for notification in case of alarm