Microsoft Summer School 2016

1. T R U C K I N D U S T R Y E N V I R O N M E N TA L
C O N D I T I O N S M O N I T O R I N G , A N A LY T I C S ,
V I S U A L I Z AT I O N
THE TRACKTOR

2. Problem
• Perishable products trucking – from
25K$
• Animal trucking – from 1000$
• Fragile goods trucking (f. e. art works,
dish) - from 300$ to ∞
Solution
• Monitoring for objective investigation of
accidence
• Prediction of undesirable dangerous
situations
• Collected statistic is used for
calculating risks for specific trucking
company and insurance payment
optimization

3. TI SensorTag Field Gateway
Event Hub
Stream
Analytics
DB
Machine
Learning
Mobile Services
Mobile App
Power BI
GPSModem

4. PERFORMANCE ESTIMATION
Telemetry for one truck –
250Kb/hour*truck
optomized
Simultaneous
maintenance of 200K
trucks

5. Production cost estimation, for 100 trucks (24 hours)
Services:
Without Azure Machine Learning 200$/month
With Azure Machine Learning 3200$/month
Own predictive engine (ASP.NET) 700$/month
Hardware:
Sensors Kit 50$/truck
Kit retail price estimation(assume profitability 100%), per 1 truck
Hardware kit 100$
Subscription with predictive engine 15$/month
Subscription, only monitoring 5$/month

7. DEVELOPMENT
essential: metrologic superfluity (now time-
superfluity is implemented, structure +
functional will be implemented) GOST R
8.734-2011
need testbed & trucking companies
collaboration (we are unable to establish
contacts with them in just 4 days)

8. This project will solve the problems of perishable/fragile
trucking goods (or at least will make the problem
easier) for reasonable price
CONCLUSION