Evolving from SCADA to IoT

Transcription

1 Evolving from SCADA to IoT

2 Evolving from SCADA to IoT Let s define Semantics IoT Objectives, chapters 1 and 2 Separating the hype from the reality Why IoT isn t easy An IoT roadmap & framework

3 IoT vs. SCADA?

4 The Path from SCADA to IoT Traditional SCADA Remote monitor Supervisory control Reporting Alarms and Alerts Increase autonomy, decrease O&M costs IoT expands the vision Data aggregation Predictive Analytics what s going to happen Prescriptive Analytics when, why, what to do Data creates value in multiple applications Enabling new business models

5 Customer s Desire Chapter 1 Asset & Resource Optimization Efficiency Smart Maintenance Safety Productivity Environment Optimization Extend Equipment Life Increase Productivity Reduce Waste Sustainability Predictable Service Reduce Downtime Increase Efficiency 5

6 Customer s desire Chapter 2 Customer-centric business models IoT as a means to improve asset utilization is the beginning Consumables as a service Usage based service models Temporary Power as a Service IoT as a disruptive technology to create new, customer-centric business models will create the next generation market leaders 6

7 Cisco s view: 50B connected devices by 2020

8 IDC s view: 212B Connected Things by 2020 Image source IBM, data source IDC

9 Harbor Research view: 8B Connected Devices by 2020

10 GE s view: $276B savings potential over 15 years

11 What is slowing adoption It s difficult Market & Technology Fragmentation Hardware, software, protocols all different, independent Lack of integration between devices, to enterprise systems M2M/IoT Development Complexity Many different skills required Hardware, Embedded, Software, IT, Telecom 85% of apps include existing, Legacy systems 11

12 IIoT Solutions - Complex Connectivity Stack LEVELS VALUE collaboration of customers, integrators, service providers with business processes APPLICATIONS reporting and analytics DATA STORAGE & ACCESS DATA AGGREGATION, PROCESSING, TRANSFORMATION gateway layer INTELLIGENT CONNECTIVITY communication and processing units PHYSICAL DEVICES things in the Internet of Things

13 With Disparate Requirements LEVELS IT Query based Data at rest Not real time OT Event based Data in motion (Near) real time

14 Roadmap to the IoT Separate data producers from consumers. Nurture a Partner ecosystem IoT Transform data to information at the Edge of Networks Adopt IoT ready protocols Introduce Overlay Networks

15 Enable Consumers with Semantic Data Models Data that requires contextual information is low value App developers must be able to utilize information without knowledge of how its produced Intelligent edge devices that publish descriptive data allows rapid application development with little or no knowledge of the producing device Temp at Tank 14 located at latitude/longitude/elevation is 27 degrees C at 8:42 AM Scalable, consumable descriptive formats are protocols like JSON, XML, etc. Imagine multiple business from the start!

16 Transform Data into Information Only a fraction of data collected is interesting Data isn t cheap, particularly at scale Data pipes Storage Transaction Parsing Energy Apply business logic at the edge of networks, close to the action, not at the top of the stack Reduce total cost of ownership Intelligence at the edge of networks provides the agility to adapt to a rapidly changing environment

17 Protocols of IIoT plenty to choose from

18 Think scale protocol example Traditional: Modbus Client/server model Servers (producers) must always be available High network overhead Every additional client (application), increases load on the server and impacts system performance Every client must have deep knowledge of the producer or data is meaningless

19 Think scale protocol example - IoT MQTT a publish/subscribe (pub/sub) model Endpoints are publishers Consumers of data are subscribers A Broker is an intermediary that distributes data from publishers to all interested subscribers This enables Endpoints to be sleepy, offline No practical limit on number of apps that can consume data from any publisher MQTT is optimized for lightweight devices over wireless, but there are a number of pub/sub protocols: XMPP, AMQP, STOMP and more

20 MQTT Publish/Subscribe Example 1. All three clients open TCP connections with the broker 2. Clients B and C subscribe to the topic current draw Client A Client B Subscribe current_draw Broker Subscribe current_draw Client C

21 MQTT Publish/Subscribe Example 1. Client A publishes a value of 83 amps for topic current draw 2. The broker forwards the message to all subscribed clients Client A Publish current_draw = 83 Client B current_draw = 83 Broker current_draw = 83 Client C

22 The Practical Application of Overlay Networks The IIoT opportunity is with existing assets and infrastructure Reality is: Operations (OT) isn t going to let you touch the automation layer IT isn t crazy about you putting all this stuff on their enterprise networks Overlay networks provide speed, autonomy without disrupting existing processes Tools Cellular backhaul Wireless sensor networks

23 Overlay Network Diagram

24 Partner Ecosystems IIoT solutions are a mix of Edge device connectivity Network connectivity Device management Databases Analytics Vertical application expertise Business system integration Even the giants are promoting concepts of ecosystem partners to enable solutions. Step into the IoT with a mindset of partnerships

25 A Framework for IoT architecture things devices and sensors produce data intelligent edge devices add logic and semantic meaning to transform data into useful information gateways aggregate local information and apply business logic, localized decisioning network infrastructure transports information to databases where semantic, useful information can be accessed by multiple applications unbounded scalability, information consumers isolated from producers

26 The Industrial IoT Opportunity Efficiency Smart Maintenance Safety Productivity Environment Optimization Extend Equipment Life Increase Productivity Reduce Waste Sustainability Predictable Service Reduce Downtime Increase Efficiency 26

27 Thank you! Mike Fahrion Questions?