VDMA Bayern I4.0 Projekt. Nürnberg Unrestricted Siemens AG 2017 Page 1. A. v. Paumgartten Partner Manager Siemens

Transcription

1 VDMA Bayern I4.0 Projekt Nürnberg Page 1 A. v. Paumgartten Partner Manager Siemens

2 MindApps Powerful industry applications and digital services for asset transparency and analytical insights MindSphere Open Platform as a Service (PaaS) for scalable, global IoT connectivity and application development Secure plug and play connection of Siemens and third-party products and equipment Page 2 MindSphere - The cloud-based, open IoT Operating System

3 Connecting Products, Plants, Systems and Machines with Open standards for connectivity, including OPC UA Plug and play connection of Siemens and 3rd party products Secure and encrypted data communication Page 3

4 MindSphere Open Platform as a Service (PaaS) Open interfaces for development of customer and industry specific apps Leading Cloud Infrastructure support: SAP, Atos, Amazon Web Services and Microsoft Azure offered as public, private or on-premise Page 4

5 MindApps MindApps are powerful industry applications and digital services for asset transparency and analytical insights from Siemens Partners and Customers can also develop their own applications that run on MindSphere Page 5

6 MindSphere offers key strengths as cloud-based, open IoT operating system MindSphere The cloud-based, open IoT operating system Ecosystem Applications & Digital Services MindSphere IoT operating system Unique MindSphere strengths compared to other IIoT platforms Global Siemens installed base of millions of devices (30 million automation systems, 70 million contracted smart meters, 800 thousand connected products, e.g., trains) Transfer of domain know-how into vertical-specific analytical apps Integrated operational data with Digital Twin to optimize simulation & engineering (model-based analytics) Plug & play connectivity for quick connection of assets without coding for Siemens and 3 rd Parties Ecosystem with broad domain expertise and horizontal IT capabilities Page 6

7 Dedicated secure IoT Gateways with Nano and IoT 2040 embedded in standard Siemens industrial products with FB a TIA Portal STEP7 Library to extend the functionality of the S PLC. LIB software development kit (SDK) and Software for integration of any assets/devices LIB Software Page 7 MindSphere enables customers to get connected quickly

8 Highly scalable, cost efficient Highly scalable, cost efficient cloud-infrastructure leveraging Cloud Foundry Highest security standards Elements based on ICS (Industrial Controls System) Security oriented to industry standard IEC MindSphere Platform IT Security oriented to industry standard ISO 27001, IEC 62443, BSI Data in rest is located on SAP datacenters that comply to all required certificates Data in motion is always at least 256 bit SSL/TLS encrypted Maximum confidentiality The customer controls these authorization levels and is the owner of this data Page 8 MindSphere Holistic Security Concept

9 MindSphere with impressive list of platform differentiators compared to other IIOT platforms Differentiators Manage My CNC Machines Equipment Monitoring APPs Comau APP Predictive Maintenanc e APP Product Intelligence Car Analytics K ATOS Apps Accenture Apps MindApps A APIs for app developer B C D E F G H IoT data model Identity and Access Management (IAM) Connectivity endpoints Integrated analytics Digital Exchange (marketplace/store) Edge computing Rapid App Development A B Developer support H Big data PLM & MES Software integrat. J IAM Field connectivity and device management App hosting and run time environment I Visualization, condition monitoring C Mass data transport and storage infrastructure Compute and network infrastructure Basic and advanced Analytics Industry specific services D Asset and fleet management Generic PaaS services E F IaaS Differentiating/ industry specific Paas Generic PaaS MindSphere IoT operating system I J K PLM and MES Software Big Data Value adding apps Edge Management and Edge Analytics Device connectivity G D Page 9

10 Pricing MindSphere Pricing Model Schematic Overview MindAccess & Applications Monthly Fee One-time Invest + + Data Model Monthly Fee E.g. IoT Connectors 990-, EUR list price Nano 249-, EUR list price IoT2040 Or other Connectivity Elements MindAccess 1500 MSU* (incl. 50 users) Additional user 30 MSU* + Application score Size of Data Model calculated from Number of data points Type of date points Reading cycle MSU* dependent on individual data model configuration x Number of Assets FB S Lib / SW See Ordering Information MSU* dependent on usage of Apps, min. 150 MSU for the Fleet Manager Asset: An Asset is a logical representation of a machine or an automation system in MindSphere *MSU = MindSphere Unit; used as calculation base in MindSphere; 1 MSU 0,10 Page 10

11 Pricing MindSphere Pricing Model Example of price calculation In order to analyze and monitor the pump set above, the customer would like to evaluate the following data points: Page 11-7x data points per motor x 3 (M1) - 1x data point per pump x 3 (P1) - 1x data point flow meter - 6x data point inverter = 29 data points, numerical value

12 Pricing MindSphere v2.0 MindAccess Developer/User Offering and Pricing MindAccess Developer S M L MindAccess User Price/month 500 1,500 2, No. of developers No. of productive users included Test and development resources (RAM) 8 GB 16 GB 32 GB Productive deployment resources (RAM) 16 GB 32 GB Included file transfer per month & storage volume in total in productive system 1 20 GB 40 GB Inbound data traffic for testing and development 1 (incl. 3 months storage) Backing Services (Docker based) 1 Usage of standard MindSphere APIs 1 Usage of Fleet Manager basic functions 2 Platform usage based on productive data ingest & storage MindSphere Units MindSphere Units MindSphere Units Options Further productive users 30 MSU / user 30 MSU / user 30 MSU / user Developer Upgrade (+1 developer) Package Upgrade (S M L) ³ 1 Limited usage 2 Will be released as part of a later increment 3 Upgrade contains 16GB of additional RAM in productive and test system Page 12