IIoT e Predictive Maintenace per le Utilities e le PMI:

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1 IIoT e Predictive Maintenace per le Utilities e le PMI: Fog Computing concepts and current deployment examples Lino Picheo

2 If you went to bed last night as an industrial company, you re going to wake up this morning as a software and analytics company. GE CEO Jeff Immelt

3 Companies in every industry need to assume that a software revolution is coming Marc Andreessen A&H Co-founder

4 What is Fog Computing? Fog Computing, the Fog, is a complement to Cloud Computing, is the Cloud moving down, closer to the ground, to the end systems, the machines, the sensors and actuators The Fog is secure, highly available, virtualized, real-time capable edge computing, networking and storage which will enable a powerful convergence between Information Technologies and Industrial Operational Technologies The Fog is a Keystone of IIoT, The Industrial Internet, and Industry 4.0. The Fog is happening!

5 Fog Computing: A New Functionality Layer Fog Processor

6 Fog Computing Automation Architecture Fog Computing enable a powerful convergence, unification and standardization at the networking, security, data, computing, and control levels This lead to improved interoperability, security, more efficient and rich control, and higher manufacturing efficiency and flexibility: Modern wired/wireless, and deterministic communications Insertion of modern, application aware and software defined networking Rich, local device management Secure, reliable software management, with modern edge application deployment Real-time local control based on complex analytics

7 IIoT Automation: Computing requirements

8 Impact of Fog Computing on Industrial OSS According customer s requirements solutions can span on different layers of industrial OSS (ISA classification) in examples: Integration of DCS/SCADA and MMS (Maintenance Management Systems) into ERP Addition, of analytical capabilities to acting as enterprise distributed historians enabling enterprise-wide benchmarking to further optimize process manufacturing Integrate new categories of IIoT sensors to support new functions as Predictive Maintenance, Safety or Logistics ERP Level 4 Manufacturing Execution Systems Level 3 Regulatory Control Sensors, Valves, DCS, PLC, SCADA Levels 0, 1, 2 Enterprise Systems Plant Systems

9 Our products architecture Event Bus Engine Modb us TCP IEC IEC Our product for Automation Log, Historian DB Engine SN MP Web Service s HTML5 Javascript Web Server Engine Sync/Async Protocol Drivers Engine: SNMP, Modbus, IEC 104/5, DLMS/Cosem, Bacnet, etc Java Virtual Machine Linux ARM, Linux x86/x64, Windows x86/x64

10 SoftPLC Our products are a performing and flexible SoftPLC solution suitable for realtime controls in the range of ms response time/jitter. That s appropriate for most of the application areas

11 Cisco Fog Computing Architecture software components

12 Business cases POCs (SAP HANA - SIDI & CISCO) (SAS & CISCO)

13 Hydraulics Power Unit

14 IIoT & Fog based automation & monitoring software providing: I/O signals acquisition Local control loops Variable engineering Protocols conversion Security & Authentication SIDI LOCAL DASHBOARD GAUGES REAL TIME MACHINE OVERVIEW STATISTICS & TRENDS ALARMS

15 Predictive Maintenance with SAP Hana - SIDI Our product on Cisco IR 3900 Controlled machinery Mobile ready HTML5 application ANALYTICS (SAP HANA) Real Time Data Business Logic DB Real Time Aggregation HTTP TUNNEL Open VPN JSON based HANA Connector ModBus TCP I/O & control SAP ERP Client (Browser)

16 Hydro power plan pilot

17 Power Plant DCS

18 IIoT & Fog pilot: Overall logical architecture

19 Dashboard typical example

20 Staer SmartS products line SmartS is the Staer Sistemi Java-based software only product line for industrial automation that operates on any suitable Java SE/Embedded host (Linux 32/64 and Windows x86/arm) SSA is an advanced control algorithms library implementing PID, Multivariable Loops, Feedforward, Split-range Time-Proportioned and MPC controls SSG is a real-time protocols manager and converter supporting Ethernet based time constrained protocols, Modbus, IEC and WebServices SmartS are native components of the emergent IIoT manufacturing ecosystems to manage seamless industrial automation, etc. regardless physical controllers and I/O