NI Customer Successes in the Industrial Internet of Things

Publish Date: Apr 13, 2017 | 0 Ratings | 0.00 out of 5 | Print

Overview

With unmatched measurement and control capabilities, Industrial Internet of Things (IIoT) know-how, and an expert ecosystem of partners, NI is already helping customers unlock insights to help them realize the benefits of the IIoT and optimize the “things” that matter most to them.

INCREASING UPTIME WITH PREDICTIVE MAINTENANCE

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London Underground Improves Reliability for 200 Million Annual Passengers With Remote Condition Monitoring
London Underground implemented a large-scale distributed system on its Victoria Line to simultaneously monitor 385 deep Tube track circuit assets in real time from a central location. This system allows London Underground to proactively respond to potential failures and gain better insights into asset lifecycle, which has resulted in improved uptime for the Victoria Line, an estimated reduction of 39,000 lost customer hours per year, and an estimated savings of £350,000 in passenger disbenefit per year.

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BOOSTING PERFORMANCE WITH CONNECTED CONTROL AT THE EDGE

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FireFly Equipment Increases Productivity and Reduces Cost With Smart Turf Harvesting Machine
FireFly Equipment designed a smart turf harvesting machine that helps customers double productivity compared to manual harvesting, harvest 20 percent faster, and use half as much fuel as other turf harvesters. CompactRIO controls everything in this machine, including data acquisition, the user interface, and motion. And, with this IIoT solution, FireFly can perform remote diagnostics, push firmware updates, and provide on-the-spot training and instruction to end users.

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IMPROVING PRODUCT DESIGN AND MANUFACTURING THROUGH CONNECTED, REAL-WORLD SENSOR DATA

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Jaguar Land Rover Uses Insights From Big Analog Data (TM) Solution to Improve Products and Increase Customer Satisfaction
Jaguar Land Rover implemented a data management solution to manage and analyze up to 500 GB of time-series data per day. A fully automated analysis routine allowed them to search, inspect, analyze, and report on the data 20 times faster than any previous manual method and increased the amount of data analyzed from ~10 percent to over 95 percent. With these improvements, Jaguar Land Rover addressed more issues before passing final products to the customer, resulting in increased customer satisfaction ratings.

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