5. Digitalization adds tremendous value to Siemens business thanks
to the integration of Siemens domain know-how
Digitalization
Automation
Electrification
Siemens
Software
Digital
Services
Digital enhanced
Electrification &
Automation
MindSphere
Domain
Know-how
Digital
Expertise
Why?
7. MindSphere enables the digital transformation
of your business
1 Entry point to digitalization
Every machine holds a wealth of data. MindSphere leverages that data to understand it
by connecting physical infrastructure to the digital world.
Data is seamlessly captured, transferred and made available for meaningful analysis
Foundation for development of applications
MindSphere open platform supports developing applications to meet your needs. Our
strong partner ecosystem offers a variety of industry specific applications that offer
ready‐to‐use solutions
Multiplier for digital services and new business
Digital services can be developed and provided to other users to reduce
downtime, increase output and use assets more effectively
2
3
13. • Cloud computing technology implies a lot more than just decentralized data storage. It
increases efficiency and helps improving cash flow thanks to elasticity and on-demand
provision of IT resources without hardware investments:
• Compute and networking
• Storage
• Database
• Application services
• Users of cloud computing technology can focus on innovation: A cloud-based open
ecosystem acts as digital business model enabler, providing a global market place of
applications and services while integrating data of all assets.
• Cloud increases competitiveness: Moving to the cloud gives access to enterprise-class
technology and to a whole ecosystem of applications and services for everyone.
• No upfront investment, flexible capacity, speed and agility: It is cost-efficient and
flexible, making possible to easily adapt to fluctuating business demands, giving the
agility to easy scale up or down capacity.
Why?
Why cloud computing?
14. Characteristics of different platform models
Product Positioning
SaaS –
Software as a Service
PaaS –
Platform as a Service
IaaS –
Infrastructure as a
Service
Host
Why?
Applications
Build Consume
Virtualization
User managed Provider managed
Data
Runtime
Middleware
O/S
Storage
Servers
Networking
Applications
Virtualization
Data
Runtime
Middleware
Storage
Servers
Networking
O/S
Applications
Virtualization
Data
Runtime
Middleware
Storage
Servers
Networking
O/S
15. IaaS PaaS SaaS MindSphere
MindSphere is an end to end IoT operating system
that enables a partner ecosystem
Generic overview of different cloud models
HW
Operating System
Virtual machine
Databases
Security
Apps / Components /
Services
Analytics
Managed by "user"
AWS
SAP
MICROSOFT
…
or
on premise
AWS / …
Customer, Partner
or DF PL
Agent based
device connectivity
DF PL or
Partner
+
DF PL
Why?
Managed by provider
16. Platform: APIs Overview
Aggregate Service Dynamic Data Service
Identity and Access
Management
MindConnect API
Agent
Management
Asset Management Event Management
Model Management
Data Flow Engine
Notification Service
File Service Context Delivery
Service
Signal Calculation
Signal ValidationAnomaly Detection
KPI Calculation
Trend Prediction Event Analytics
Provides the top ten
17. MindSphere APIs
Overview
Description
Aggregate Service
Read aggregated values
with three durations: 2 minutes,
1 hour, and 1 day
Dynamic Data Service
Retrieve collected data
for an asset as an array of time
stamp and value tuples
Identity and Access
Management
Manage your customers (e.g.
add, modify) within your own
tenants only
MindConnect API
Develop custom agents
and connect you device or
application to MindSphere
Agent
Management
Create, edit or remove
MindConnect elements, on-
board and off board agents and
set relations to assets
Asset Management
Represent physical
assets from your site in
MindSphere. Use models and
create instances, set relations
to others and create structures
such as hierarchies
Event Management
Manage standardized
and customized events.
Acquire events from the field &
other applications
Model Management
Define your data model
and add standardized
definitions for a better under-
standing and usage of your
data
18. MindSphere APIs
Overview
Description
Data Flow Engine
Provides workflow
orchestration. Create
custom rules based on
incoming data, apply them on
the fly & define actions based
on this information.
Notification Service
Use APIs or graphical
user interface to send
information to your
users & customers via e-mail,
sms or push/scheduled
notification.
File Service
Read, write and delete
BLOB files
• Upload, update and delete
files associated to assets
• Store Meta data information
Search for files by Meta data
Context Delivery
Service
A service that provides
contextual data to your
IoT system like: Documents,
Regional settings or any other
content.
Signal Calculation
Provides signal
mathematics such as
filling dead bands,
transformation, phase
calculation and basic math,
e.g. as step after Signal
Validation
Signal Validation
Finds range violations,
spikes, sudden signal
steps, extremely large signal
variations (aka noise), bias
deviation, dead bands and
signal gaps for later
processing, e.g. alerting
Anomaly Detection
Density based detection
of anomalies trained
with a golden batch data set for
up to 10 dimensions
KPI Calculation
Statistical data on
operating KPIs of a
machine given a state variable
as input that indicates the
machine operating status
19. Long term stability and support
• Continuous demand-based functionality extensions
• Long term stability for minimum of two years
• API versioning, and backward compatibility
• Siemens supplied API examples to kick start your
development
MindSphere APIs on AWS
Overview (continued)
Description
Trend Prediction
Provides linear &
polynomial regression
of time series data for
predicting future data points,
trends and range violations
Event Analytics
Provides the top ten
error events of a given
set of error messages, can be
trained for detecting error
patterns in event logs in a later
stage
21. Prerequisite (at least one): MindAccess IoT Value Plan MindAccess Developer Plan MindAccess Operator Plan
Data Exploration built
on Tableau®
Dashboarding Component.
Tailored in 3 different sizes
to fit customer needs:
• 1 GB traffic per month
• 5 GB traffic per month
• 10 GB traffic per
month
Visual Flow Creator
Preparation and
enrichment of data
workflows. Built on Node-
RED.
Tailored in 3 different sizes
to fit customer needs:
• 50 Compute hours
• 100 Compute hours
• 200 Compute hours
Visual Analyzer1
Basic analytics
functionality as Extension
for Fleet Manager.
Tailored in 3 different sizes
to fit customer needs:
• 10 Users
• 50 Users
• 100 Users
Report Builder1
Reporting Component.
Tailored in 3 different sizes
to fit customer needs:
• 10 Users
• 50 Users
• 100 Users
Predictive Learning
Data exploration.
Tailored in 3 different sizes
to fit customer needs:
• 7.5k Compute hours
per year
• 20k Compute hours
per year
• 30k Compute hours
per year
MindSphere 3.0 Components
What?
22. MindSphere Store
Store
• Visit the MindSphere Store here
• Only MindSphere on AWS is available at the MindSphere Store (not
MindSphere on SAP)
• For MindAccess, Components, MindApps and MindConnect, only S
products can be purchased at the MindSphere Store
• Only S products have a price tag in the MindSphere Store
• All other products (e.g. M and L packages, Upgrade packages) are
sold upon request or included in main offering (e.g. MindConnect
API/LIB)
• The following slides show an overview about product availability at the
MindSphere Store
23. MindSphere on AWS
Security
What?
• MindSphere security concept is based on the leading cyber security standards: ISO 27001 (Information Security
Management System Framework) and IEC 62443 (Industrial communication networks – Network and system security)
and follows a holistic approach covering several protection controls
• Data classification and ownership:
• Siemens treats all data stored in MindSphere as confidential in accordance with the ISO 27001 standard
• The customer controls authorization levels and is the data owner – Siemens acts a data custodian
• Security mechanisms of MindConnect Elements follow best practices to protect ICS (Industrial Control System) systems:
• Are in line with the leading security standard for industrial systems (IEC 62443)
• Provide a secure on-boarding process to connect to MindSphere, using a unique identification number and
providing logical separation between the automation and transmission grids
• Communication and network security controls, amongst others:
• Internal communication in MindSphere platform is encrypted (HTTPS)
• Data in rest is located on AWS datacenters that comply to cyber security best practices and state-of-the-art
requirements
• Data in motion is 256 bit SSL/TLS encrypted
• Network segmentation
• Redundancy
• System integrity controls like malware protection, patch and vulnerability management in place
• Operational security measures like periodical penetration tests and a continuous Security Incident Management (by
Siemens CERT1) available
1 Cyber Emergency Readiness Team
25. Ecosystem
Technology Partners
• Enhance capabilities as well as adoption of
MIndSphere platform utilizing analytics, AI &
Big Data
Hybrid OT Partners
• Partners from automation, instrumentation
background who will develop IoT
applications and provide services
Connectivity Partners
• Develop connectivity into products
• Sell connectivity products
Consulting / Strategy partners
• Provide digital transformation services
based on MindSphere
• Develop vertical apps
Application Developer / ISV
• Develop vertical apps
• Sells apps based on MindSphere
System Integrator
• Connect other enterprise systems on
the cloud (ERP, CMMS, etc.)
• Provide connectivity & implementation
services
Partner