MindSphere: The cloud-based, open IoT operating system. Damiano Manocchia
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Mindsphere is Siemens' cloud-based IoT operating system designed to facilitate digital transformation by leveraging data from connected devices. It offers an open platform for developing applications and digital services while providing connectivity solutions for a variety of assets. The architecture supports a partner ecosystem to enhance capabilities through analytics, AI, and big data.
MindSphere: The cloud-based, open IoT operating system. Damiano Manocchia
- 1. MindSphere V3 The cloud-based, open IoT operating system Data Driven Innovation, Roma 18th May 2018 siemens.com/mindsphereUnrestricted © Siemens AG 2018
- 3. Industry 4.0
- 4. Siemens is the #1 automation provider, delivering mission critical operation and automation technology, with: • 30M automation systems • 75M contracted smart meters • over 1M connected products in the field today Siemens Knows IoT and Connected Devices
- 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?
- 6. © Siemens AG 2017 MindSphere is the entry point to develop apps and digital services Why? 2000 2004 2008 2012 2016 20201996 (2003) 0.5B 1988 1992 (1992) 1M 50.1B (2020) IoT Inception (2009) 8.7B (2012) 11.2B (2013) 14.2B (2014) 18.2B (2015) 22.9B (2016) 28.4B (2017) 34.8B (2018) 42.1B (2019) MindSphere – The cloud-based, open IoT operating system …for your digital business Multiplier… …for development of applications & digital services Foundation… …for digital transformation Enabler…
- 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
- 11. MindConnect Nano MindConnect IoT2040 MindConnect API/LIB MindConnect Edge Analytics MindConnect IoT Extension MindConnect Integration Connectivity @ MindSphere 3.0 Overview What? With the Connectivity offerings, MindSphere provides multiple, varied and easy- to-implement connectivity solutions (both, hardware and software based) to be able to onboard a wide range of assets (Siemens and 3rd-party) in both brown- and greenfield environments. Siemens IoT Ready
- 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
- 31. www.siemens.com/mindsphere www.mindsphere.io MindSphere Store For more information