The IoT is often treated as if it were magic. Businesses expect the IoT to improve operational efficiency, accelerate time to market, and reduce costs—often without knowing how they will achieve all these lofty goals.
The answer can come in surprising forms. Consider what you can do by combining GE Automation and Controls' Predix platform (Figure 1) with smart lighting.
Lighting and analytics may seem like an odd combination, but they can work together to address the need to scale rapidly. Let's start with lighting. Deploying IoT sensors often implies installation of sensing infrastructure from scratch. But it's wise to step back and see what elements of the required infrastructure are already installed, and may be reusable—and nothing is more ubiquitous than a light socket.
Smart lighting from Current by GE illustrates the point. These lights incorporate a variety of sensors within LED fixtures that can be deployed into existing infrastructure. The lights communicate to a gateway or other aggregation node using zigbee or other low-power wireless networking interfaces, making the entire setup highly scalable and easy to deploy.
On the software side, Predix provides a "Platform-as-a-Service" (PaaS) so developers can write once and deploy anywhere, at any time (Figure 2).
The key elements of Predix are:
- Predix Machine: The software layer used to collect data and push it to Predix cloud. It is deployed on gateways, controllers, and sensors, and can also run local analytics.
- Predix Services: These let developers build, test, and run industrial Internet applications. It also provides a microservices marketplace where developers can publish their own services and consume services from third parties.
- Predix Cloud: A global, secure cloud infrastructure that meets strict regulatory standards for critical industries such as healthcare and aviation.
To give an example of how this all comes together, GE outfitted its Greenville, South Carolina gas turbine factory with smart light fixtures. In this instance, the lighting sensors measure the air temperature near an assembly station, allowing factory workers to know when the part is cool enough to safely add the next rotor. This insight helps to minimize defects and eliminates the need to rework parts.
The benefits to this particular facility included a 24% reduction in energy use, along with increased production worth hundreds of thousands of dollars.
The GE facility is an interesting example of how to leverage existing infrastructure to streamline IoT network deployment. Using this approach, along with Predix for data gathering, analysis, and cloud connectivity, developers can more quickly realize the IoT's potential to perform predictive analysis, reduce cost, and improve processes and system reliability.
About the Author
Patrick Mannion is a independent content developer and consultant who has been analyzing developments in technology for more than 25 years. Formerly Brand Director for EETimes, EDN, Embedded, Planet Analog, and Embedded.com, now part of AspenCore, he has also been developing and executing community-oriented online- and events-based engineer-to-engineer learning platforms. His focus is on connecting engineers to find novel design solutions and focused skills acquisition in the areas of Embedded, IoT, Test and Measurement, RF/Wireless, and Analog & Mixed-Signal Design.Follow on Twitter More Content by Patrick Mannion