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Pitney Bowes Industrial Internet - GE Digital (GE) Industrial IoT Case Study
Pitney Bowes Industrial Internet
The world's 1st-ever Industrial Internet platform, Predix, becomes a pathway for revenue generation and notable new cost savings for Pitney Bowes' production mail business. An ordinary mail business, this is not. Of the 150 million pieces of mail produced each day in the US, the majority go through Pitney Bowes machines.
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Predicting Eruptions in the Masaya Volcano with wireless Sensors - Libelium Industrial IoT Case Study
Predicting Eruptions in the Masaya Volcano with wireless Sensors
Volcanoes are one of the most unpredictable and impressive natural phenomenons. Worldwide researchers and scientists have always been trying to discover what happen inside volcanoes to predict future eruptions that will save lives. Their activity has provoked along years great disasters destroying entire settlements with lava flows and also endangering the environment or human health due to gas emanations or ash falls. Some vulcanologists are currently focused on working with the latest technology to monitor in real-time everything that happens inside and outside the crater to predict eruptions. Qwake, a global brand that merges ground-breaking scientific expeditions with cutting edge technology to drive positive change, has trusted in Libelium technology to develop a wireless sensor network in the Mouth of Hell, Masaya volcano in Nicaragua.
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IIC Smart Airline Baggage Management Testbed -  Industrial IoT Case Study
IIC Smart Airline Baggage Management Testbed
Unlike the airline reservation systems with a limited number of global providers like Amadeus, Travelport, Sabre and Share, the ecosystem around the airports and airlines is heavily fragmented. There are no centralized systems that can unify all its stakeholders’ data such as: • Airline • Passengers • Airport vendors like baggage handling companies, fuel and catering providers • Airport tenant (shops, malls etc.) • Parking and ground transportation • Security (TSA) & Regulatory bodies Many luggage tracking systems at the moment are simply isolated mobile smartphone applications tied into a proprietary third-party web application using such things as Bluetooth baggage tags. The challenge that the Smart Airline Baggage Management testbed is addressing is bringing together and integrating disparate and isolated airline enterprise applications and systems into a single solution to better handle smart baggage across the airline and aviation ecosystems. GOALS The Smart Airline Baggage Management testbed, part of a broader aviation ecosystem vision, is aimed at reducing the instances of delayed, damaged and lost bags leading to lower economic risk exposure to the airlines; increasing the ability to track and report on baggage including location and weight changes to prevent theft and loss; and improve customer satisfaction through better communication including offering new value-added services to frequent flyers. The testbed is also aimed at helping airlines address the new baggage handling requirements set out by IATA in Resolution 753 requiring airlines to implement more comprehensive acquisition and delivery solutions for baggage tracking and handling by June 2018. This target is also outlined in the broader IATA 2015 White Paper titled “Simplifying the Business.”
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A Smarter Brain for Your Train… - Intel Industrial IoT Case Study
A Smarter Brain for Your Train…
Have you ever felt overloaded by too much sensory input? The results can be problematic, even risky if you’re driving at the time. The same holds true for trains, ships, oil rigs, and many other industrial assets. The data processing challenges on these complex machines are growing rapidly as the number of sensors increases; yet so are the opportunities to transform operations by using all the available data effectively. A modern locomotive, for example, has as many as 200 sensors generating more than a billion data points per second.
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Petropriar Uses Operator Rounds to Improve Asset Performance and Avoid Unplanned - GE Digital (GE) Industrial IoT Case Study
Petropriar Uses Operator Rounds to Improve Asset Performance and Avoid Unplanned
Petropriar, S.A., a subsidiary of Petróleos de Venezuela S.A., owns and operates oil and natural gas reserves in the country’s Orinoco Belt. Petropriar needed an easy way to manage the inspection of its rotating electrical and static equipment at one of its industrial complexes.
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