TechHub: Digitizing data forensics, Coke using AI and Big Data & Digital Twins

Digitizing Data Forensics

A control system that’s responsible for servicing over 150,000 people has multiple applications, each with its own data source, and requires a tedious, time-consuming process of manually sifting through paper logbooks and binder after binder of printed reports when gaps exist in data sets.

This wastes time, money and causes a major headache for plant employees.

The City of Barrie was determined to fix this, saving 60 to 70-percent of the time previously used as a result of digital transformation.

The implementation of a new data management tool allowed:

  • Data commenting
  • Workflow for report approvals
  • Tag merge
  • Lab data integration and electronic logbooks

Download the white paper to learn more about how the City of Barrie saved time, money and frustrations from their digital transformation:

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Join GrayMatter at WEFTEC 2017 in Chicago from Sept. 30 – Oct. 4, booth #6549

WEFTEC is recognized as the world’s largest annual water quality technical conference and exhibition, providing extensive educational opportunities and unparalleled access to the field’s most cutting-edge technologies and services.

The Amazing Ways Coca Cola Uses Artificial Intelligence and Big Data To Drive Success

Coca Cola was one of the first globally-recognized brands outside of the IT world to speak about big data, according to Forbes.

“AI is the foundation for everything we do. We create intelligent experiences. AI is the kernel that powers that experience,” said Greg Chambers, global director of digital innovation.

Coke announced earlier this year they were launching Cherry Sprite as a new flavor based on data collected from their self-service soft drink fountains, which allows customers to mix their own drinks.

Coca Cola’s Freestyle drink machine that collects data from customers’ popular drink choices.

This allows Coke to pick the most popular combinations and launch them as a ready-made, canned drink.

What’s next for Coke? They’re looking to develop a virtual assistant AI bot, like Alexa and Siri, to reside in vending machines for greater personalization.

According to Forbes, users will be able to order their favorite blend from any vending machine, with the AI adapting the machines’ behavior depending on its location. This could result in exciting, lively vending machines in malls and entertainment complexes and more functional ones in a hospital.

Digital Twins: Distilling Science from Fiction

Digital twins sounds like a concept evoked from science fiction; people recreating themselves as avatars in computer games like The Sims and living out an alternative reality in the digital realm.

That might be the world of fiction, but digital twins aren’t that far off what the creators of The Matrix envisaged, according to The Manufacturer.

Digital twins are digital renderings of physical equipment, displayed on a headset, computer, tablet or other device, showing real-time data about a range of measures such as condition and historic performance, to its current position and any external factors acting on it.

One whiskey company is using digital twinning on a scaled down level to monitor their production line.

Digital twinning has primarily been used to monitor high-value assets such as wind turbines, aircraft engines and other highly-technical and expensive engineering systems, to track all the data they produce and deliver it to technicians in remote locations.

A specific new trend for digital twinning has recently begun to emerge from manufacturing, according to The Manufacturer, of scaling down to lower levels. This allows it to be used in assets that aren’t necessarily high value in themselves, but create high value products. Read More.

 

Pulling Needles out of Your Data Haystack

3 steps to act on data you’re already collecting. 

The Impossible is Now Possible

Industry 4.0 is moving fast and I’d like to let you in on a few very valuable developments about the data you’ve been collecting. It can now help you make better decisions. You can talk to your industrial data and it’s talking back to you, letting you know what’s working inside your operation and what’s not.

It’s exciting for me to see GrayMatter and our partners innovating by taking the data you’ve been collecting through sensors on industrial equipment and applying artificial intelligence and machine learning in the cloud so you can find insights on performance. Then you know exactly where to make improvements.

You need a system to sort through the haystack of data and pull needles out to focus your subject matter experts. That’s what we can do now.

It all starts by framing up the action strategy in three parts.

Step One: Set Your Goals

Start at the end and work backwards.

What return on investment do you want to see? You don’t need all the data you think you need. What information will help you solve the problems you want to solve? What’s the path to getting there? Having this roadmap first is critical, because otherwise a lot of time and money can be wasted.

Step Two: Start Creating Digital Twins

You hear the term digital twin, but what does it really mean?

Simply put, creating a digital twin is the process of merging physical and digital worlds.

The process takes a physical machine and uses technology to get all the information about past states, present states and predictions. That information creates a digital model that’s alive – taking in a stream of data – using that to adjust so the model is personalized to be a precise representation of the asset.

The software version is used for what used to be a physical inspection – requiring people to be right next to the machine. The virtual version can be done from anywhere and at any time, expanding the value of those inspections and allowing them to have more of a real-time impact. It creates a constant inspection that allows the operators to predict failures sooner.

Digital Twin Value

The digital model of a machine, built and run in a virtual environment used to be available only to the biggest companies with the largest budgets. But the Industrial Internet and an explosion in sensor technology have lowered the cost and broadened the access beyond the elite.

pulling needles out of data haystack

People are not only connected to people, they’re connected to every kind of device at home and now work. Manufacturers stand to win big from this. Factory floors are outfitted with tremendous amounts of sensors to collect data, but because that data has been locked up it hasn’t provided value.

The digital twin allows us to unlock that data and not just for one asset at a time. We can now model machines in groups – for example, a machine builder with thousands of machines installed across hundreds of customers – will now be able to operate best in class using digital twins.

There’s potential to unleash productivity and efficiencies like we’ve never seen before.

Step Three: Get Behavioral Information from Digital Twins

In order to move to more advanced use cases, such as adaptive diagnostics, condition-based maintenance or predictive failure, Industrial IoT systems need to know more than simply the current device state.

They need to know why. Knowing current device state only helps from a monitoring standpoint.  While important, it’s really just the beginning of what we can expect out of IIoT systems. If we know why an asset exhibits a certain state, we can determine what conditions lead to that state and take proactive steps to prevent future occurrences. 

This new layer of getting insight through behavioral information allows you to ask for more. You can search your data and get answers back right away. It’s like an instant messenger for operational technology.

Step Four – Get Digital Twins to Interact

Achieving this may mean digital twins built using multiple discrete machine learning algorithms potentially spread across multiple IoT platforms, not simply relying on one. Eventually, we should expect that digital twins will interact with one another in virtual space.

Leap Ahead

If you’re short on time, staffing or budget – GrayMatter can get you up and running to achieve value quickly. You know you need an Iot strategy in the near future, but may not know how to go about it. Rather than trying to design, source and build it yourself we can put the strategy in place in days or weeks.

You also don’t have to do everything at once, you can start with a limited selection of assets and scale up or down as you learn performance and asset behaviors.

Our strategy is a Salesforce version of a remote monitoring and diagnostics center that you can buy and implement incrementally.

GrayMatter’s Digital Twin Strategy

We use data, predictive capabilities and machine learning to identify your best and worst performers in each asset group. Your operators are automatically alerted to the worst performers, then they use an intuitive web interface, to turn the worst into the best.

Continuous improvement becomes expected, simplified, and routine. As your team builds new improvements or optimized settings, they can be scaled out, automatically, to every instance of a specific machine or piece of equipment.

You Don’t Need a Data Scientist

The complex algorithms that can leverage your data are pre-built so anyone can start creating the models and analytics to generate insights. One person no longer holds the keys to data, with this unique platform everyone gets a better understanding of your businesses processes, so you’re not focusing on the math to bring the insight, you’re focusing on creating better outcomes for your customers.

Think Big, Start Fast

You need to think big to truly transform your organization, but you also have to start acting on your data today.

We’re anxious to spread the word about how easy this is and to un-complicate it for you. Let me know if you’d like to discuss further.

– Jim Gillespie, GrayMatter CEO.

Click to download the case study to start acting on your data:

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TechHub: Ransomware Wreaking Global Havoc, Real-Time Asset Condition & Water Innovations

The Industrial Ransomware Wreaking Global Havoc

The recent global crisis of ransomware attacks on infrastructures and private businesses have left cyber experts and government authorities scrambling to double their efforts.

Computer systems were infected worldwide in June 2017 with a massive cyber attack similar to a recent assault that affected tens of thousands of machines internationally, causing critical infrastructures to take a major hit.

After recovering from a string of attacks that left thousands without power six months ago in December 2016, the citizens of Ukraine were faced with an even worse offense.

A.T.M.s stopped working, workers were forced to manually monitor radiation at the old, toxic Chernobyl nuclear plant due to computer failures and industrial employees worldwide were scrambling to respond to massive hacks.

“At the Chernobyl plant, the computers affected by the attack collected data on radiation levels and were not connected to industrial systems at the site, where, although all reactors have been decommissioned, huge volumes of radioactive waste remain. Operators said radiation monitoring was being done manually,” according to the New York Times.

The entirely new ransomware infected the systems of Ukraine’s power companies, metro services, airports and government ministries such as Kiev’s central post office.

The outbreak was the latest and most sophisticated in a series of attacks, using dozens of hacking tools, according to the NY Times.

The malware also had an impact internationally, causing system shutdowns of:

  • Danish shipping and transport company Moller-Maersk, resulting in an inability to process orders and its 76 terminals around the world became very congested.
  • Russian steel and oil firms Evraz and Rosneft.
  • French construction materials company Saint-Gobain.
  • Pharmaceuticals company Merck.
  • An Australian factory for chocolate giant Cadbury, resulting in halted production.
ransomware

Special Agent Keith Mularski, Unit Chief of the FBI Cyber Initiative & Resource Fusion Unit.

To continue the discussion on cyber espionage and industrial cyber security, join us at Transform 2017, our annual conference in Put-in-Bay, Ohio.

Special Agent Keith Mularski, Unit Chief of the FBI Cyber Initiative & Resource Fusion Unit heads the Cyber Initiative for the FBI and was part of an effort to declassify cyber threats and pass them on to industry.

Keith will walk through case studies of cyber incidents at US Steel, Alcoa and Westinghouse, revealing how the government communicated and worked together with industry to fight cyber crime.

Learn More About Transform 2017

Don’t Get Stuck in a Rut: Learn the True, Real-Time Condition of an Asset

Cars have data and analytics for when parts should be replaced, so why can’t your utility?

It can.

Like owning a car, the idea is similar for asset management. In a water treatment plant, pumps often come with a “best-by” sticker; a generic six-month date is stamped onto it, creating a time-based system for maintenance, regardless of usage.

ransomware

The date becomes the driving factor for servicing rather than following data.

But there is a better way to capture condition of assets consistently, accurately and efficiently.

The solution lies in combining two systems already in place and leveraging the findings to save time and money, drastically increasing uptime.

Download the white paper to learn how to leverage digital data to effectively and accurately forecast maintenance of assets.

Download the White Paper

Water Innovation Pact Signed to Promote Smart Water Networks

The Water Environment Federation (WEF) and Smart Water Networks Forum (SWAN) recently formed a pact to jointly promote the development of best industry practices for sustainable smart water networks.

Smart water networks detect system leaks and manage energy through incorporating technology, according to Water Technology, an online water news publication.

“Supporting innovation is essential to the water sector, and to further development of intelligent water systems,” WEF executive director Eileen O’Neill said.

In the wake of technological advancements in the water sector, the combination of the groups’ focus on smart wastewater network management and integrated intelligent water practices will provide new skill sets and knowledge, allowing for workforce advancement.

ransomware

Co-innovated smart drinking fountain by GrayMatter & DC Water.

The partnership seeks to determine common barriers of implementing intelligent water practices, technology trends and new solutions.

GrayMatter and DC Water have recently had success through a partnership of their own by co-innovating a smart sensor drinking fountain.

A drinking fountain that monitors water quality and flow in real time – giving users more confidence in the water they are drinking and saving money spent on maintenance and testing. The groundbreaking project addresses lead levels – one of the most pressing issues in water.

“This project redefines public water consumption, putting people and clean water first,” Jim Gillespie, GrayMatter CEO.

The new tech fountains have sensors that use real-time data and analytics to monitor both water quality and flow levels, sending that information to the cloud and back, alerting when water quality measurements begin to deteriorate.

The co-innovation project is just the beginning of many ways private sector innovation and independent operations are joining forces to make water operations more efficient, at a lower cost. The fountains are set to be used in public places this fall, including schools.

Learn more about the GrayMatter and DC Water water innovation project at Transform 2017:

  Learn More About Transform 2017

 

TechHub: The Internet of Energy, Digital Solutions in Water & Brilliant Manufacturing

The Internet of Energy: Big Data & Electrons

The Internet of Things (IoT) is an industry-wide term for connected and smart devices within a network of connectivity that allows them to collect and exchange data.

A new and not-so-understood concept, being dubbed the “internet of power” by Forbes, is applying the use of big data, machine learning and IoT technology to replace the one-way, current model of energy delivery.

GE Power, that supplies 30-percent of the world’s electricity, has been developing this opportunity in an effort to revolutionize the electricity industry.

“The electricity industry is still following a one-hundred-year-old model which our founder, Edison, helped to proliferate,” said Chief Digital Officer at GE Power Ganesh Bell in Forbes.

Bell believes that can change, and that the answer is to take advantage of the current grid-based generation and delivery mechanism, increasing it with the flow of data.

This will take that linear model and move it to a networked model; taking every electron, associating it with a data bit, and optimizing it.

Creating this new system of “smart” energy distribution will pave the way for innovative structures in the future such as a reliable network of energy for charging stations, aiding society in the move away from fossil fuels.

This adoption of IoT technology will transform the power industry to a $1.3 trillion field within the next 10 years, according to Forbes.

Join us in Chicago on April 10th for Digital Day to learn more about the digital, industrial transformation and connect with top thought leaders from companies like Johnson & Johnson, Gray Matter, GE and more.

Register for Digital Day

Brilliant Factory in Grove City Puts New Life in Old Engines



The engine remanufacturing plant in Grove City, PA, has been operating for 5 years, occupies 440,000-square feet and employs more than 400 people.

The facility has made a huge transformation from being a food packaging plant into being one of GE’s first seven high-tech “brilliant” factories.

Gray Matter, through a partnership with GE, has helped implement advanced technology such as sensors that allow workers to measure and see real-time data at a glance. This improves reliability, has reduced downtime by 10 to 20-percent and boosts productivity.

The Grove City plant refurbishes diesel engines, taking old engines and give them life again.

This used to require works to manually tighten bolts in a repetitive motion by hand, using machines weighing in at 40-pounds on 41,000-pound engines, according to the Pittsburgh Post-Gazette. 

This new technology allowed them to have an automated way to uniformly tighten the bolts in a sequence, preventing possible injury to the workers and creating a standard for all of the bolts.

It also gives plant managers the ability to call up data on a tablet or smart phone rather than touring plant operations on foot, allowing them to address problems sooner and supervise workers remotely.

Join Gray Matter on April 18th for our Toronto Seminar and learn more about digital innovations in manufacturing, water and energy.

Connect with leaders from companies such as GE Digital, CyberX, Eramosa and more for a full day of discussion, followed by an optional Blue Jays v. Red Sox game.

Register Now

Partnering Digital Solutions & IIoT Technology to Benefit Water


The ultimate goal for water and wastewater utilities is to always be safer in order to protect the communities they serve.

GE Water put out on social this week a piece written by Steve Davis, a business development leader at GE Power, Water & Process Technologies.

It discusses the problems of the world of water and how the solutions lie within industry partnerships.

According to Davis, there is no single company in the water industry that can provide connectivity, platform, software and analytics all in one.

A quote from Gray Matter VP of Water in Water Innovations: Creating a Better Living.

The solutions to these problems are exist, however are still in their infancy and fragmented.

By uniting experts within the industry, a combined commercial effort is created through a mutually beneficial relationship.

By connecting top industry thought leaders, the partnerships cultivate into innovative ideas that can excel the industry and pace of the digital revolution. It simplifies data integration, and takes away the once overwhelming feeling for customers by interconnecting platforms.

New technologies are giving people hope that they can achieve better standards of living, and Gray Matter is helping to lead the way in the water evolution.

Download our white paper Water Innovations Create Better Living to read real customer success stories of increased efficiency and profits through innovative technology.

Download the White Paper

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