gi2013 ppt paetzug+rauschert_project_itham

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RESEARCH FOR A MOBILE FUTURE

Project ITHAM

Intermodal Transport of Hazardous Materials

DRESDEN

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Agenda

Overview

Project partner

Project scope

Modules

Data capturing

Data science

Alerting

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Scientific staff: 700

Budget p.a.: ~ 80 million euros

Applied research and development in

micro-electronics

Headquarter: Erlangen

Director:

Prof. Dr. Albert Heuberger

Fraunhofer IIS

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Research Areas

Audio and multimedia technologies

Imaging systems

Digital broadcasting systems

Embedded communication

IC design and design automation

Communication networks

Navigation

Logistics

Medical engineering

Optical inspection systems

X-ray technology

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Scientific staff: 80 / 50

Budget p.a.: ~ 6.5 million euros

(2011)

Applied research and engineering

in traffic, infrastructure and

transportation systems

Close cooperation with

Dresden University of Technology

(TU Dresden)

Director:

Dr. Matthias Klingner

Fraunhofer IVI

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Research Areas

Four departments:

Transportation, Energy and Environment

Intermodal Traffic Information and

Management Systems

Strategy and Optimization

Vehicle and Transport System Engineering

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SALT Solutions GmbH

Founding 06/2002

Locations Dresden, Duesseldorf,

Munich, Wuerzburg

Employees 329 (full time) (effective 1.1.2013)

Equity 5,2 Mio Euro

Equity ratio 50 percent

General Managers Dr. Bernhard Blüthner

and Associates Dieter Heyde

Markus Honold

Business Areas IT solutions for

Production

Logistics

Retail

Profile

22,9 26,4

29,0 32,1

36,5

2009 2010 2011 2012 2013p

Sales Development

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Business Services

Business and technical consulting for industry,

logistics and trade

Software development

Systems for retail and logistics companies

Systems for Storage, Transport, Fulfillment

Mobile Applications

BI Systems, Retail Planning

Prediction based short period disposition

www.tacot.com

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Hazardous cargo

May get lost or stolen,

May derail or get damaged,

May explode or implode,

May lose material, …

Hazardous transports may be jeopardized by

Industrial strikes and lock-outs,

Embankment fire, …

May become a tremendous risk for people and environment.

Project Scope

The challenge

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Tracking and tracing of container cargo mainly for rail and street transport.

Robust, safe and maintenance free on board units that collect a bulk of

conditions like location, velocity, temperature, pressure, humidity, shocks,

vibrations and sealing states.

Secured and energy optimized real time transmission of the collected and

preprocessed data via cellular and satellite networks.

Integrated into public and industry systems and automated real time processing

in a centralized data warehouse.

Enhancement of alerting with current situations overviews.

Project Scope

The solution proposal

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Module1 – Data Capturing: Collecting position and environment data (e.g.

temperature, humidity, vibration) of each unit and sends this information via

mobile and satellite networks.

Project Scope

A unique combination of edge technology

Module 2 – Data Science: Data is processed with fast in memory databases and

compared with patterns and alerting rules. Alerts rise if risk patterns are

detected or rules are broken.

Module 3 – Alerting: Continuously analyses regional public information. In case

of an alert samples a situation overview valid for the disaster management.

Informs the global transport management and the local administration in the

affected region.

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cargo

cellular

network

satellite

network

firewall

real time

investigation

transport

management

long term

investigation

alerting public data emergency response

systems

Big picture

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Satellite System for position

capturing

Short-range communication

for low-power data-

transmission between single

devices

Cellular or satellite system

for data-transmission to

server or infrastructure

Data Capturing 1

Localization and Communication

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Position acquisition and

data-transmission

dynamically assigned to

individual device

Data Capturing 2

Localization and Communication

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Frequency of data

acquisition and

transmission

determines the power

consumption of the

device

Battery-powered

devices have

operation/run-times of

weeks or months and

have to be serviced

from time to time or

replaced to charge

the battery

Data Capturing 3

Power Supply by Energy Harvesting

MCUMicro SD Card

(up to 8GB)

WLAN Modul

Analog Interface

(8 ADC Channels 12bit)

Three-Axis

Accelerometer ,(other Sensors)

Debug Interface

(UART overRS232/USB)

Power

Managment

BatteryEnergy Harvester

GPS receiverGSM Modul

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Data Capturing 4

Power Supply by Energy Harvesting

Energy Harvesting can replace

batteries or the need to

recharge them

Energy transducers use energy

from the environment (light,

vibration, heat) to generate

electrical energy

Solar cells or vibration harvester

charge battery during operation

Unlimited operation and

standby-times become possible

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Preprocess the complex and high frequency data stream from local sensors into

states and changes. (Examples)

Data Science 1

From sensor data to environment information

Temperature -> 5 min average

Humidity -> 30 min average

Pressure -> 1 h average

Vibration -> Frequency spectrum, 2 min average

Location -> accuracy 15 m, any change

Velocity -> 5 min average

Sealing -> any violation, immediately

Loss of communication chain -> immediately

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Analyzing the sequence of states and changes on multiple information channels

of different container units and clusters.

Data Science 2

Time and sequence analysis

Event-Stream

Unit 1

U

nit 2

U

nit 3

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Comparing the state of different units for exceptions and expected or unexpected

patterns.

Data Science 3

State pattern analysis

Unit

Unit

Unit

Unit

Unit

Unit

Unit

Unit

Unit

Unit

Unit

Unit

Unit

Unit

Unit

Unit

Unit

Unit

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Import schedules and unit information from Transport Management systems

Check location and velocity compared to the schedule

Update units for active geofencing

Check unit conditions according to the loaded materials

Data Science 4

Monitoring the expected behavior

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Storage and processing of mass data in real time needs modern in-memory data

bases as well as traditional storage for analysis.

Data Science 5

Processing event streams and storage

Data entry

Verification

-

Access Control

-

Enhancement

Fast Storage

In Memory

Event

Processing

Mass Storage

Reduction

Investigation

Analysis

-

Statistics

-

Value Services

-

Prediction

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Information prepared by Chemical

enterprises in case of emergency

Delivery of relevant information

(acid type, quantity, location)

Delivery of expected situations

within next min/h/d ( e.g.

propagation rate & velocity)

Alerting 1

Data analysis of internal knowledge

Evaluation of possible location of stolen wagon Propagation rate of chemical cloud

Consequences of contamination for affected region

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Based on Web 2.0 – participation web

environment

Impacts of different events leads to

delays or non-delivery (e.g. industrial

action, embankment fire)

Contains data regarding news feeds,

social media monitoring, governmental

web pages, ect.

Integration in useful visualization, e.g.

node set and edge set model

Alerting 2

Data analysis of external effects

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Information distribution via report

Situation overview

Contact information

Points of entry

Pubished news

Automated generation of

recommended actions

Implemented in EU project WWW.IDIRA.EU

Project content: Interoperability of data and procedures in

large-scale multinational disaster response actions

Alerting 4

Generate Data visualization

http://www.idira.eu/

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Structured communication

contains ad-hoc integration

Observations

Damages

Causalities

Translated form with all

available languages

Feedback from field forces

changes common operational

picture

Alerting 5

Structured communication

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Summary

Investigate Collect Transmit Act

The ITHAM project

… will build up a robust, fully automated and fully integrated alerting

system for hazardous transports on ground.

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Dipl.-Inform. Martin Pätzug (Speaker)

SALT Solutions GmbH

Charlottenstraße 34, D - 01099 Dresden

Email: [email protected]

www.salt-solutions.de

Dr.-Ing. Peter Spies

Fraunhofer-Institut Integrierte Schaltungen IIS

Nordostpark 93, D - 90411 Nürnberg


www.iis.fraunhofer.de

Dipl.-Med.-wirt, MBA Andre Rauschert

Fraunhofer-Institut für Verkehrs- und Infrastruktursysteme IVI

Zeunerstraße 38, D - 01069 Dresden


www.ivi.fraunhofer.de

Contact Information