Unified Smart Manufacturing Architecture

Industrial organizations are seeking to exploit insights from all of their different operational data sources such as SCADA, PLCs, networked sensors, Historians, MES, CMMS, HSE, and ERP. Built-in analytics in each of these systems are creating large efficiency and compliance gaps while leaving the rest of the organization starving for data. Data that could’ve helped improve business outcomes for everyone had it not been for access limitations.

These sources use a wide range of different general-purpose messaging technologies such as OPC, MQTT, and a variety of industrial networking technologies. Different sources also contribute important context to any analysis, which is not possible with just a single data source. Especially when scaling advanced analytics to large enterprises, it is essential to use open technologies as the architectural foundation.

This is why we are bringing a few major open architectural foundations to Falkonry. Falkonry is now able to directly subscribe to MQTT brokers whether that is Aveva Data Hub, HiveMQ, AWS IoT Core, or (in breaking news) Litmus UNS. This means you can bring any data to Falkonry without changing your data mesh. This means you can combine and join data from test harnesses with data from MES and PLCs of your equipment.

Secondly, Falkonry is able to receive UNS-based messages from your enterprise message bus. This builds on your standardized asset hierarchy to keep all parts of your Smart Manufacturing Architecture aligned and able to identify data unambiguously. This also means you have to do less to get more out of your data.?

Thirdly, Falkonry is open for others to export raw data as well as results from Falkonry Cloud processing for use in other systems. Typically, Falkonry APIs are used to retrieve data using tools such as Mulesoft and POSTMan. Since Falkonry stores the data it receives, it is possible to recreate the state for any part of your namespace at any given point in time.?

Fourthly, Falkonry is about to bring exciting new capabilities around rules in combination with its AI so that you can control the alerting generated by its anomaly detection and pattern recognition engines. With this, Falkonry Cloud is enabling immense scale in your time series processing needs to cover the entire enterprise by providing visualization, pattern analysis, anomaly analysis, time forecasting as well as rules and threshold analysis in a no-code environment. Calculations are also available in a low-code environment, which can facilitate the creation of derivative time series variables.

What’s more, Falkonry is available to be used on-demand in the Cloud but can also be used inside your own data centers and in the field without any customization. This means Falkonry is independent of any cloud provider and we have already deployed Falkonry in secure deployments on premises without the need to ship data or models in either direction.

Given the tremendous volumes of time series data in every individual plant and enterprise, this level of user-friendliness and automation is the only way industrial organizations can achieve their advanced analytics objectives. We continue to invest in better user experience, greater automation, and higher spend flexibility so that organizations can manage their needs in the most responsive way possible. As a result, we continue to receive interest from life sciences companies, discrete & automotive manufacturers, renewable energy firms, energy producers as well as metal producers from all over the world.

If you are interested in learning more about the range of Falkonry’s capabilities, IT friendliness, compliance, or our unique pay-as-you-use pricing, hit us up.

Upcoming Events

Falkonry Webinar: Smart Alerts For Smart Manufacturing [Virtual | 5 Apr] Join us for a FREE webinar on April 5 for an exclusive sneak peek at Falkonry Rules. See what a modern streaming rules engine that incorporates AI outputs looks like. Rules empowers smart manufacturers to enhance operations across various fronts, including downtime reduction, emissions control, sustainability, quality, and calibration.

Advanced Machinery Technology Symposium [Philadelphia | 30 Apr] Learn about the latest technologies enhancing manufacturing operations amidst captivating keynote addresses, insightful panel discussions, and engaging technical paper presentations covering a wide array of topics, including Falkonry's presentation on condition-based testing.

In Other News

Falkonry CTO to speak at MIT MIMO Symposium. Dan Kearns, Falkonry’s CTO, will be speaking at the annual MIT Symposium on? Machine Intelligence in Manufacturing and Operations. The in-person event features keynote sessions and panels featuring industry experts discussing the latest innovations in machine intelligence. Join us to explore how intelligent technologies are transforming manufacturing and operations.

Original Content

Falkonry’s AI Cloud for IIoT with Litmus can get you Smart results. The combination of Falkonry Time Series AI Cloud and Litmus Edge makes it easy to put your plant data to work securely, reliably, and quickly. Together, the open, secure, intelligent, and flexible solution offers a unified foundation that lets you do more with your data.

Time Series Data + AI + Cloud. How is a business to effectively put time series data to work? Here are three things that need to be followed: (1) Use AI if you want to get the most value out of time series data (2) Put data and AI as close as possible (3) Use a specialized Cloud for time series data.

The Seamless Integration of iba and Falkonry. Managing vast time series data can be daunting, but iba AG & Falkonry have the solution. Check how our compatibility accelerates AI activation for metals, energy, and pulp & paper industries.

Interesting Reads

What is Advanced Industrial Analytics (AIA)? Understanding how to address industrial transformation requirements requires pragmatism. This analysis by LNS Research offers a comprehensive framework and explanation of the various facets of collecting, modeling, and analyzing industrial data using industrial-grade software applications.

Adopting AI at speed and scale: The 4IR push to stay competitive. AI has brought the Fourth Industrial Revolution to an inflection point, prompting manufacturers to reassess future strategies. For instance, forward-thinking companies are redefining the notion of pilots by leveraging entire factories, rather than isolated use cases, to scale impact. Read this report to learn more about the competitive strategic responses manufacturers are contemplating.