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Edge/fog computing methods
in Vehicle Telematics
Alexander Kaplunski, Technoton, Director
Alexander Kaplunski
Director, Technoton
Edge computing
Maximum data processing inside GPS tracker or digital sensor, i.e. as close as possible to the
data source.
Lower load on cloud server and communication channels, possibility of data exchange directly
between devices within an object and between various objects without using cloud server.
Fog computing
Data exchange between IoT devices directly without cloud server.
Edge/fog computing methods
Measurement period
Transmission frequency
Data processing
Data composition
Units
Server’s task
Traditional
10-60 seconds
in tempo of measurement
on server side
parameters
no, dimensionless
data processing, analysis,
displaying Reports
Edge/fog
0.1-10 seconds
on Event occurrence
«On Board»
Events, Reports
yes
displaying ready-made
Reports
Telematics System: traditional vs edge/fog
Event - relatively rare and sudden parameter change.
Edge/fog advantages
Lower load on server
Operation without server
Equal data
Accuracy of measurement
Possibility to detect “quick" Events
Promptness of Reports generation
Edge/fog advantages/ lower load on server
Each object individually has more time
for analytics and Report generation.
Edge/fog advantages / Operation without server
Reports can be sent directly to user via SMS, e-mail, social networks or messengers
Edge/fog advantages /
Identical data «on board» and on server side
On Board In analytical software
IoT Burger Technology
Filtration, linearization, secondary transformation;
Flexible signal and Event processing system;
Measurement and detection of Events occurring in >0,1s interval;
Generation of ready-made Reports;
Sending Reports to server, e-mail, messengers;
Self-diagnostics, authorization, access control.
Examples of devices
Fuel level sensor with
in-built GPS and GSM
Telematics gateway Fuel flow meter
CAN j1939/S6
i/o module
Examples of devices/ incoming and outgoing SPNs
Functional Module
Registrar of Reports
Report Generator
Battery
Axle load control
Communicator
Self-diagnostics
GNSS
Axle load sensor
Onboard network
Onboard clock
Collector 1A1F1D
Registrar of Events
In SPN
12
49
3
18
15
6
0
0
8
0
0
2
Out SPN
1
24
6
12
20
21
21
4
17
8
3 from 3500
2
Openfogconsortium
Solution example – for river vessel
1 – Left engine
2 – Right engine
3 – Main diesel generator
4 – Additional diesel generator
5 – Boiler
Terminal
Who is interested in edge/fog?
Specialists in analysis of quick processes (diagnostics, forecasting, driver profiling)
Vehicle telematics system integrators offering solutions for complex machinery and equipment
Manufacturers of GPS tracking devices, sensors and other telematics/IoT peripherals
Who is interested in edge/fog?
Industrial equipment Operational
services
Movable and stationary
technological machines
Sea and river vessels
Insurance telematics
www.jv-technoton.comContact us for more info:

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Edge/fog computing methods in Vehicle Telematics

  • 1. Edge/fog computing methods in Vehicle Telematics Alexander Kaplunski, Technoton, Director
  • 3. Edge computing Maximum data processing inside GPS tracker or digital sensor, i.e. as close as possible to the data source. Lower load on cloud server and communication channels, possibility of data exchange directly between devices within an object and between various objects without using cloud server. Fog computing Data exchange between IoT devices directly without cloud server. Edge/fog computing methods
  • 4. Measurement period Transmission frequency Data processing Data composition Units Server’s task Traditional 10-60 seconds in tempo of measurement on server side parameters no, dimensionless data processing, analysis, displaying Reports Edge/fog 0.1-10 seconds on Event occurrence «On Board» Events, Reports yes displaying ready-made Reports Telematics System: traditional vs edge/fog Event - relatively rare and sudden parameter change.
  • 5. Edge/fog advantages Lower load on server Operation without server Equal data Accuracy of measurement Possibility to detect “quick" Events Promptness of Reports generation
  • 6. Edge/fog advantages/ lower load on server Each object individually has more time for analytics and Report generation.
  • 7. Edge/fog advantages / Operation without server Reports can be sent directly to user via SMS, e-mail, social networks or messengers
  • 8. Edge/fog advantages / Identical data «on board» and on server side On Board In analytical software
  • 9. IoT Burger Technology Filtration, linearization, secondary transformation; Flexible signal and Event processing system; Measurement and detection of Events occurring in >0,1s interval; Generation of ready-made Reports; Sending Reports to server, e-mail, messengers; Self-diagnostics, authorization, access control.
  • 10. Examples of devices Fuel level sensor with in-built GPS and GSM Telematics gateway Fuel flow meter CAN j1939/S6 i/o module
  • 11. Examples of devices/ incoming and outgoing SPNs Functional Module Registrar of Reports Report Generator Battery Axle load control Communicator Self-diagnostics GNSS Axle load sensor Onboard network Onboard clock Collector 1A1F1D Registrar of Events In SPN 12 49 3 18 15 6 0 0 8 0 0 2 Out SPN 1 24 6 12 20 21 21 4 17 8 3 from 3500 2
  • 13. Solution example – for river vessel 1 – Left engine 2 – Right engine 3 – Main diesel generator 4 – Additional diesel generator 5 – Boiler Terminal
  • 14. Who is interested in edge/fog? Specialists in analysis of quick processes (diagnostics, forecasting, driver profiling) Vehicle telematics system integrators offering solutions for complex machinery and equipment Manufacturers of GPS tracking devices, sensors and other telematics/IoT peripherals
  • 15. Who is interested in edge/fog? Industrial equipment Operational services Movable and stationary technological machines Sea and river vessels Insurance telematics