Helps enterprises in improving the serviceable life of assets to reduce downtime and increase asset utilization. This test bed analyzes real-time and historical data across key health parameters. Some of the key features of asset efficiency testbed include condition monitoring, diagnostic analysis and prognostics.
This testbed helps enterprises to collect information in the design, manufacturing, service, supply-chain setup, analyze this data to carry out corrective and preventive maintenance activities. With the help of seamless digital integration of design systems with manufacturing along with the model-based enterprise helps manufacturers work on the digital twin of the part or the product.
Water shortage is recognized as a global challenge. A substantial opportunity exists to reduce the amount of water lost. This testbed implements a network of real-time sensors to monitor water leakage. Water loss can be prevented/controlled by ensuring rapid detection of leaks, pre-emptive detection of potential leaks and precision irrigation.
This testbed focuses on cost-effective IoT technologies for healthcare providers as well as patients. This enables remote patient monitoring to reduce relapse rates after a patient is discharged. It provides an ecosystem of tools that helps healthcare providers reduce the cost of chronic medical care and improve the quality of life for patients by allowing them to live independently.
This testbed is an energy command center that will provide visibility of energy consumption across industrial facilities, large organization setups such as campuses, factories, industrial areas, airports, shopping malls, stadiums, and other energy -guzzling setups. This helps compare, predict, and analyze the energy consumption and performance, and also facilitates IT governance through alerts, notifications, workflows, and ticketing and augmented reality tools.
This 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.
This testbed can improve crop productivity by analyzing granular and real-time data from environmental sensors located in commercial crop fields. Further, the integration and analysis of plant data from multiple sensors can drive the development of a digital plant model. In future, this will help companies correlate observed fluctuations in yield with microscopic changes in external stimuli.
This testbed helps pre-empt road congestion by automatically detecting unusual events on the road and enabling cooperative traffic movement in autonomous and non-autonomous vehicles. Besides minimizing road congestion, it can also increase overall motorist and pedestrian safety.
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