The Industrial Internet of Things


The manufacturing industry is leading the way in IIoT (the Industrial Internet of Things) deployments. The key to a successful and rewarding deployment is an integrated approach, further including technologies such as big data analytics, cloud, robotics and, most importantly perhaps, the integration of IT (Information Technology) and OT (Operational Technology).

Manufacturing IIoTInternet of Things in manufacturing – the Microsoft view – source SlideShare presentation – License: CC Attribution-ShareAlike License

For decades, the skilled data experts at Data Science Automation® (DSA) have been making a big public impact with data acquisition and data analytics applied to diverse and challenging medical device, transportation, military, and energy applications. But today’s challenge is to expand sensor-sourced and product-sourced data coverage, and to meaningfully leverage those extensive and growing data repositories with automation and analytics for deeper and more insightful correlations. Such advanced applications of Data Science will drive the next, and sure to be rapid, revolution in continuous improvements.

DSA delivers consistent results through our methodical AgilePIES (Plan, Implement, Educate, Support) project process, in the areas of product-sourced or sensor-sourced data. By supplementing manufacturer skill sets to acquire, analyze, present, and manage large quantities of data (or Big Data), DSA can apply real-time data analytics and insights to product and process optimization practices. The data and diagnostics collected during product use can then be transmitted to, and shared with, the product manufacturers to improve efficiency, automation, customer-centricity, competitive benefits, and the advantages which are offered by using data across the manufacturing value chain. Additionally, it enables the end-user to tap into new revenue sources which is a key aspect of digital transformation in manufacturing.

For example, in a recent DSA project, medical device product traceability required our embedded software to monitor cancer-curing apheresis machines for years of process data, operator selections, and alarm notifications, and remotely transmitted periodic logs to the manufacturer for routine diagnostics, quality and safety assurance to avoid model-wide, global recalls. In another case, DSA was honored to support military offensive initiatives and new product developments in Tomahawk cruise missile GPS navigation. It required the acquisition and management of 30,000 channels of data sampled at 1000 samples/second (Hertz) simultaneously over extended periods of time. This high-speed, data-intensive testing resulted in deep analytic insights to ensure missiles reliability in avoiding hostile air-space and engaging targets accurately, as in the Yemen conflict in mid-2016.

It’s been said that the group who could make the biggest impact and influence a total transformation toward IIoT is not a company’s IT or OT team, and it is not the automation suppliers or the IoT technology vendors. It is the system integrators. For 25 years, Data Science Automation has been a premier automation systems integrator, leveraging commercial off-the-shelf tools in the design and implementation of custom-engineered, complete, and highly-adaptive solutions in laboratory automation, embedded/new product development, manufacturing and test automation.

Are you looking to learn more about IIoT?  Give us a call today, to close the loop!