Digitization - what does it mean for public sector ...PUBLIC Thomas Kunert, Senior Director Public Services, EMEA N, SAP Digitization - what does it mean for public sector organizations?

PUBLIC

Thomas Kunert,

Senior Director Public Services, EMEA N, SAP

Digitization - what does it mean for public sector organizations? Season 3: Smart City and Smart Country Cases

2PUBLIC© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ

Heidelberg

Trondheim

Austria

Berlin

Travelling Europe – Our Route Today

Internet of Things and Big Data Projects –all over Europe

Projects in unbelievably many shapes

Today‘s stations:

Optimization of Waste Management in Heidelberg

A bridge in Norway – and how tomaintain it better

A trip to Austria to see how they sourceand analyze traffic data for betterachievements…

How you can detect crisis situationsearly – to optimize resource allocation


City of Heidelberg – What was the issue ?

Overflowing Containers lead to unnecessary collections - waste of time and tax money Smell, noise, traffic jams Low service quality Quality of life

Did you know?

Lorries, that are commonly used in the waste

industry, consume around 70 litres of diesel

per 100 km.

… and aren’t overflowing recycle bins the opposite of a smart city?


The Digital Agency of Heidelberg and SAP kicked off an initiative with several partners

1st project: IoT enabled public glass recycling containers

partnering with disposal companies –benefits:

exact and predictable route planning higher efficiency and effectiveness the impact on cost

What to do with DGTL now?

Special sensor wireless network forData Transfer

Experts for sensors

Data provided is processed real time

‚Digital‘ Ingredients – What we put in….

Low Power

Wide Area Network


Pilot

Start: 10 containers in the city and the outskirtsof Heidelberg

equipped with highlyenergy efficient androbust sensors and radio

Receiver

IoT technology on theSAP Cloud Platform

Process Flow & Architecture

Data delivered

Filling – percentageof capacity

GPS data forlocation

Temperature

State of sensor egcovered or not

Delivery

Long Range WAN

Energy efficiency, cost effective

low data volume at low frequency

Dashboard

Map based

rules say whencontainer is full

Trigger process in backend

More analytics:

analyze trends and peaktimes – detect patterns

Insight into Action

Integrated intodisposal company‘sSAP waste andrecycling solution

Routes can bedynamically planned– demand driven

Potential: Fires can be detected early –via threshold values alerts canbe triggered and inform certaincontacts proactively


What it looks like….


Improve citizens Quality of Life – no more overfilled recycling containers and a cleaner city, better QoS

Was it worth the effort? Top Benefits.

More efficient city services –demand based collection on current sensor data

Less traffic impact by collection vehicles Less noise, less exhaust, less smell ( CO2! ) Less debris

City control the truck fleet better, unnecessary collections are avoided

City improves forecasting negotiate better contracts for the

services – better for the city and its citizens ( tax money )


…or just listen to the Mayor of Heidelberg

Heidelberg

Trondheim

Austria

Berlin

Travelling Europe: A Bridge in NO

You Need to Know

repair and replacement of infrastructure consumes tremendous amounts of time and money

Maintenance with traditional monitoring based on brief periodic inspections

public sector is looking for affordable and effective monitoring methods to ensure bridge safety

Can Digital technologies help?


The Case for Bridge Monitoring - Extending bridge life

“The technology ( … ) can maximize the bridge lifetime and start renovations at the optimal time,” … “If the

method can help postpone the replacement of a bridge by ten years, it will save the authorities large amounts

of money.”

Arild Christensen, oversees bridges and ferry ports for the Norwegian Public Roads Administration in central Norway

Aim: High reliability by

sensor-based real-time monitoring insight into the bridge’s behavior warning of structural failures

Situation Stavå bridge from WWII, designed for 20-ton freight loads, today: 60-ton loads Large vehicles only cross at reduced speed, one direction at a time.

How to maintain it better and keep it safe? The Digital Twin PoC of NPRA and SAP


Bridge monitoring – How? Analyses and Prediction

real world digital twin

external load

external load

virtual sensor

sensor

physical sensor

actuator

actuator

Sensor output provides data about the structure:

Symmetric behaviour Drifting of long-term

observations ‘strange’ behaviour sensors attached to

the bridge transmitted to base

station and twin– egvibrations.

input used to tune as-built model of the actual bridge structure

Threshold alerts - for drift and structural behaviour.

Development of the deterioration can then be estimated in the model.

Planned modifications eg repairs can be simulated using the tuned model to estimate the effect on the global structural behaviour

“We place virtual sensors and implement the failure that caused the collapse of the bridge,” ... “If you can find the correlations then you can predict failures before they happen.” Martin Hasle Product Delivery Manager, PEI Product Delivery


What did you achieve?

Understanding the structure – Reuse the data

“We have come far in understanding what the data from the Stavå bridge is

telling us about its structural soundness and how this could be applied to

other bridge structures to predict possible failure modes …”

“This information about the structural loading is important to understand the

risks of fatigue.”

Optimize Training – with the help of partners

“By knowing the exact weight of the freight loads passing over the bridge, we

are able to calibrate the digital twin’s finite element model to the bridge so as

to more precisely assess its physical state and level of wear and tear.”

Martin Hasle, head of SAP’s Predictive Engineering Insights product delivery team

Interesting to know:

When an ASKO truck passes the bridge theteam automatically receives the vehicle weight and the time of passing – via GPS tracking and a Geo Fence.

Heidelberg

Trondheim

Austria

Berlin

Travelling Europe:Traffic Analysis in Austria,a Proof of Concept

ASFINAG was founded in 1982 and is a federal agency.

Plan, finance, build, maintain, operate and collect toll for 2,200 kilometres of motorways and expressways.

No subsidies from the national budget - financed exclusively by income from the lorry toll, the toll sticker and the route toll.

Good to Know

Business Case

Can transparency help? Open the data vault – use information in a better way

You have the data: trucks on Austrian motorways are sensored withso-called gantries / toll gates

Traffic and ‚movemment‘ information could become foundation forbilling

Truck Traffic Analysis @ ASFINAG

Strategic Targets

Fewer Traffic Obstruction

Fewer Accidents

Sound Economic Results

Commitment to Sustainability

Outlook

Enhance analysis: time dependent and dependent on the trucktype

Simulation of incidents (e.g. accidents) using geo machinelearning technology

…

DB Size: ~50 GB ( PoC data only ) – geo and business datain one database: SAP HANA

All evaluation done in realtime - is only possible with a HANA in-memory

Allows increased data density and quality

Business Value

Analysis of traffic flows for strategic alignments and long-term measures.

Capacity and performance of the ASFINAG network: network expansion, lane extensions, interchanges

Traffic safety, risk assessments, accident statistics, tunnel safety

Information dissemination in the agency – support better management info, alignment, decision making

What to do with the results?

16INTERNAL© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ

Heidelberg

Trondheim

Austria

Berlin

Travelling Europe:An attempt to predict crisis – to respond more proactively


The Project – Background and Approach

AimAllow the „conflict prevention, crisis management, post-conflict rehabilitation & humanitarian aid“ departmentproactive resource allocation as mean to restrict conflictintensity and optimize resource allocation

Available

Resources

Time Time

Reso

urc

es

Re

so

urc

es

Reactive Proactive

Digital MeanData driven early detection of crisis in order tooptimize intervention

Optimize the use of scarceresources and most efficient andeffective use of limited financialmeans

In crisis relief and assistance is allocated reactively


What it means for Political Analysts

„We want to create a database that integrates all relevant information to support politicial analysis.“

Political Analysis – Today Political Analysis – Tomorrow

Analysis

Analysis

Data

Preparation

Research

Research

Data Driven Model

the project pursues a purely data driven approach

aim is to confirm and enhance previous findings

quantitative approach enables permament monitoringand automization of analysis

Previous models for early crisis detection

Easy and easy to explain

Foundation: expert knowledge on politics

Not purely data driven


Architecture and Source

More than 40 open source feedersystems:

World Database

SAP HANA

Events

Indicators

News

GeoData

ACLED: Armed conflict location and event data project

UCDP: Uppsala Conflict Data Program

WDI: World Development Indicators

WGI: World Governance Indicators

GDELT: Global Database of Events, Language and Tone

PDP: Phoenix Data Project

GADM: Global Administrative Areas

SAP UI5

SAP PredictiveAnalytics

SAP Lumira


QuestionFor which countries the client has to expect a significantrisk of more than 50 deads caused by conflict in at least one of the next 4 years?

Source Reuse Global Conflict Risk Index data / Open Source 24 relevant indicators Categories: Politics, Security, Social, Economics,

Geography

*) more info: http://conflictrisk.jrc.ec.europa.eu/

Use Case 1: Early Detection of Conflicts

Results Reproduction of CGRI indicators Additional indicators to enhance the model Robust and precise prediction model with SAP Predictive Enhancement of GCRI by adding sub state level prediction


QuestionMonitoring the news flow of all countries is cumbersomeIs it feasible to automate the process – at least partly? Isit possible to alert proactively on disruptive changes ofthe news flow?

Source Harmonized news feeds from open source data

projects sources are CAMEO-coded (Conflict and Mediation

Event Observations) Events classified in classes

Results events per Cameo coded class, state and month

follow statistical distributions news flow of the last 30 days is compared with

historical data Anything out of the ordinary triggers an alert on

potential disruptive change

Lumira Storyboard

Use Case 2: Disruptive Change of News Flows

CAMEO 0233

Name Appeal for Humanitarian Aid

Example Oxfam Canada today called on theworld community to help save tens ofthousands of Afghan civiliansthreatened with starvation


QuestionHow do the players or groups in the regioninteract?

Source Data sources eg Armed Conflict Location

and Event Data Project provide structures fast and simple analysis of players and their

network with SAP Predictive‘s „SocialNetwork Analysis“

Results The chart was built with SAP Predictive

Analytics Depicted is the interaction of the Al

Shabaab Militia with other players in 2015. Interaction are shown if more than 10

persons were killed

Use Case 3: Interaction Patterns

Examples of Battle ( ACLED ) :

Nigeria: Military forces launch an offensive on Boko Haram positions in Damaturu. A total of 14 soldiers were killed in action during the attack.


Heidelberg

Trondheim

Austria

Berlin

All scenarios are supported by SAP HANA and SAP technologies like SAP Leonardo.

The incorporation of Analytics and IoT andMachine Learning into business processes– this is what the Intelligent Enterprise stands for.

Next time more!

Any more questions in the meantime?

Meet Ainars:

PUBLIC

Thomas Kunert,

Senior Director Public Services, EMEA N, SAP

Digitization - what does it mean for public sector organizations? Season 3: Smart City and Smart Country Cases

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Digitization - what does it mean for public sector ...PUBLIC Thomas Kunert, Senior Director Public Services, EMEA N, SAP Digitization - what does it mean for public sector organizations?