Conference Program - Day 1
Day 1 AM - SCADA and ICS Advances Track / 9am-12pm CST
9:00 AM CST
Automate Measurement Point Attribute Matching Throughout Your Enterprise with Machine Learning
Brad Harkavy, Global Head, Operational Technology Solutions • Oracle Utilities
Integrating SCADA systems to other OT applications requires the rationalization of data point names and attributes across disparate systems. Traditionally, the attribute and name matching work across systems is executed using custom scripts which are handcrafted for each application. Generating, debugging, and maintaining these scripts consumes a lot of development and operating resources. SCADA systems’ data point naming conventions can be complex and sometimes they are not uniformly applied. For example, a GIS system can have one set of namespaces and the SCADA system can have another. This presentation will demonstrate how machine learning (ML) can dramatically reduce the time to value for integrated SCADA projects. We will also discuss how our ML algorithms were designed to encourage manual exploration of the work executed by the ML algorithms.
Adding Cloud Based AI to On Premise SCADA Systems
9:45 AM CST
Tom Craven, VP of Product Strategy • New Directions Automation
Michael Neal, Technology Executive • Lone Star Analysis
Leveraging AI for predictive maintenance, predictive quality, or process improvements can increase revenue for most automated production facilities, but on-premise AI systems tend to be expensive and difficult to implement and maintain. Cloud hosted AI systems tend to be far more cost effective with faster implementation timelines and require less in house support.
Cloud hosting of course raises concerns about cybersecurity. We will discuss options for using minimizing security risks. One option is to use a data diode allows data to flow out of the manufacturing facility while eliminating the possibility of any incoming cybersecurity threats. In addition, the plant is fully in control of which data values can be transmitted out of the facility.
In some AI systems there are some decisions that are time sensitive and cannot be dependent on the cloud connection. We will discuss how local algorithms on the edge node can quickly react to local data.
Finally we will present a case study using AI with SCADA to improve quality and reduce downtime on Reaction Injection Molding Equipment. This study shows a cost savings of $450,000 annually and a 7% increase in machine performance.
10:30 AM CST
SCADA X.0-Exploring Transformation Opportunities
SCADA Systems were always considered a demanding entity that stands over availability, reliability, and interoperability. Their nature is tailored to support the operations in industry. In the past the technology being used was being adapted and most of the time it was lagging behind their counterparts in other sectors i.e. IT.
Recently, with the digital transformation movement taking place in different sectors, SCADA experts and developers are calling for a revolution in the structure of the SCADA systems based on what has been evolving in various sectors.
In this presentation, I shall be discussing how disruptive technologies can re-shape the SCADA systems to cop up with current industry 4.0 revolution to introduce SCADA X.0. Technologies being discussed will include IIoT, Industrial Cloud Networks, Data Analysis and Modeling, Wireless Communications and 5G.
11:00 AM CST
New Facility Monitoring Tactics for 2020 and Beyond
Remote site equipment is getting smarter, with more verbose protocols being built into smaller and smaller devices. Legacy equipment is starting to fail, and the original manufacturers are long gone. Huge segments of the workforce are retiring, and new hires don’t bring the same classic skills to the table. Users today expect absolutely intuitive interfaces and instant support if they get stuck.
In this session, Andrew will share with you specific examples from real-world installations. You’ll get several ways to process new protocols locally at the RTU level. You’ll hear how a legacy radio-system-management box was re-imagined as a pin-compatible but modernized device that reduces labor expense and training prerequisites. You’ll see a remote power monitoring & control device that reduces confusion during installation and use. Finally, you’ll learn a step-by-step method for handling any new SCADA challenge you face – while ensuring that the hardware and software you choose will withstand the next decade and beyond.
11:30 AM CST
Middleware Data Architecture - Enabling Real-Time Systems using MQTT
The presentation will cover how middleware architecture is allowing organizations who’ve implemented it to leverage new technology in the space of IoT and IIoT. These companies have benefitted from this architecture in several areas and giving them a reduction of data latency of real time data by up to 50%.
The architecture eliminates the need to double enter and/or manual register mapping across applications organization wide. Report by exception reduces transmission of data packets compared to typical poll response. This architecture provides the ability to continue leveraging legacy hardware in the field , reducing costly upgrades for capex and opex expenditures. Additionally, it has the ability to set architecture up in parallel to existing production systems reducing down-time to nearly nil. Architecture also allows for previously orphaned data to be accessed and viewed.
For security only one port needed in firewall vs. X providing increased security to the system. Data publishing clients are outbound only, and data is encrypted from Edge of the network all the way through the data flow. The use of access control also lists throughout the architecture increases data security and permissions.
There’s a lot of other benefits to the architecture that we will cover, the increasing number of hardware options becoming available in the market that speak the SparkplugB spec. will also be touched on. Ex. Opto22 and the GrooveEpic, Moxa, Advantech Uno are just a few of many examples.
12:00 PM - 1:00 PM CST
Day 1 PM - SCADA Networking, Telemetry & The Edge
Hybrid Data – SCADA meets IIoT to get max value
1:00 PM CST
Today and the future SCADA architectures should support Hybrid Data, there is a need for SCADA Data on premise, close to the real-time process as well as data for long term storage and analysis in the cloud. The concept of Hybrid Data that will be explored is that not all the data collected is migrating to cloud, and the reality is that in many scada applications and industrial automation systems, they should be designed for long term sharing of data, on premise and cloud. SCADA systems and IIoT platforms must be designed to work together and support Hybrid data.
We will explore this architecture with real use cases where SCADA meets IIoT. The use cases feature real-time data collection, user interface, analytics, and supervisory control applications. We will look at and learn about the now and future generation of SCADA that supports IIoT and Hybrid Data to maximize the use of your data on premise and in the cloud.
1:45 PM CST
Data Analytics Is About More than FDD
Mention the term analytics and many people will immediately think – “Fault Detection – analytics is used to detect faulty operation of equipment systems”. While FDD is an important use of analytics, it’s not the only one. Organizations that embrace the full capabilities of data analytics are able to address a range of financial and organizational needs faced in operating and maintaining facilities and equipment systems and move to true data-driven asset management.
Data means different things to different people in an organization. Managers responsible for tracking and ensuring organization performance and meet financial goals need to be able to quickly and easily see key performance indicators, and their trends over time.
The Benefits and Use Cases for Data Analytics Include:
Automatically Tracking and Reporting Key Performance Indicators – KPI’s
Confirming and Reporting Proper Operation
Automated System Optimization (ASO)
2:30 PM CST
Building SCADA from the Edge Up
What if these OEMs and manufacturers could build a SCADA system from the bottom up? Each machine would still have its own controls and HMI, but the HMI could actually be a mini-SCADA system. These small SCADAs could be modular and compatible peers, able to be aggregated into an overall SCADA by communicating with each other and to the cloud. They would be able to run on any form of edge computing hardware, which today has plenty of processing power to perform SCADA functions, including embedded analytics.
For machine OEMs and manufacturers, we see the need for just such a modular SCADA platform. It would have to be scalable, able to grow as machines are added. Edge computing enables data preprocessing at the edge and provides the necessary visualization experience. Cloud connectivity means that operational effectiveness, statistics, and machine learning algorithms can be applied to one machine, many machines, and even many sites. These users can finally take the next steps of detecting patterns in the data and making predictions regarding impending problems.
A SCADA system designed with machine OEMs and manufacturers in mind will make it possible for these industries to take advantage of the same analysis and insight opportunities used by process industries in their large-scale SCADA deployments.
Narrowband Wireless SCADA Traffic Management
3:00 PM CST
SCADA systems and IoT networks often transit across bandwidth-limited communications paths. This presents a unique challenge to eliminate unnecessary traffic from non-essential services so Ethernet connectivity can be maintained across a radio link. In our presentation we will demonstrate some of the techniques available to inspect network traffic, how to identify what is non-essential and eliminate or block bandwidth-hogging services and applications.
3:30 PM CST
Sensor-to-Cloud Offers Next-Generation Remote Monitoring
This presentation will explain how cloud connectivity removes many barriers in collecting data from assets in impassable locations. New IoT cellular transmitters utilizing LTE CAT M1 technology can connects industrial sensors to the cloud provide remote monitoring, control and alarming from any web browser including mobile devices.
When working with a range of sensor brands and types (4-20mA transmitters, switches, and HART) as part of a remote monitoring solution, it is imperative any cellular-based transmitter connects directly to the cloud and bypasses local networks to offer a more secure connection. While a built-in GPS receiver reports the device location to the cloud, providing a map of all connected assets.
The sensor-to-cloud platform is very simple to setup and makes it easy to quickly access your measurements with the least amount of hardware. Plug and play, the transmitter needs no programming. The use of LTE CAT M1 technology supports IoT devices by connecting directly to a 4G network, without a gateway, using the built-in batteries or optional external solar panel.
4:00 PM CST - Day 1 Sessions Complete