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Wearable devices are ubiquitous and Internet of Things (IoT) devices have made it possible by connecting real-time devices to virtual cloud. There are also a tremendous number of IoT-enabled consumer products for various healthcare applications. Mostly, IoT devices are used for health monitoring systems, though other business and service communities are customizing the IoT technology for greater opportunity and long-term benefit. Wearable health devices have been used for better health monitoring and exchanging more data with the physician to get the guidance of treatment or earlier diagnostic. Health monitoring in athletes is one of the multifaceted applications of wearable IoT devices whereas these devices collect and store data on their performance and progression. This technology can protect athletes by detecting any adverse health problem that occurs during the training period or at the time of the game. In this paper, we investigate the real-time monitoring of physiological parameters of the athlete during game time and performance analysis from the stored data. Continuous health monitoring during game time and off-days will reduce sports-related risks,stress and injuries of an athlete even sometimes it can save them from life-risk fatal accidents. This research integrates an IoT-based framework to develop a stress index for athletes that can be used as an indicator for monitoring athlete’s health. The proposed framework helps in monitoring the variability of the sensor information for the long-term analysis.
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Conceptualization and Design of a Low-Cost MTConnect-Enabled Refractometer for Coolant Health Monitoring
Monitoring of the health of water-based coolant used for machining requires measurement of various parameters of the coolant, including refractive index, temperature, pH, and turbidity. One of the primary parameters that is used to determine the concentration of the coolant is the refractive index, which is typically measured manually by an operator at regular intervals during machine operation. This paper describes the conceptualization and preliminary design of a coolant health monitoring system that will automatically measure the refractive index of the coolant and will digitize the resulting measurement for communication to a factory supervisory control and data acquisition (SCADA) system. To enable rapid integration into a factory’s network architecture, the coolant concentration measurement will be transmitted by the monitoring system using the MTConnect format. Having an MTConnect-enabled sensor will allow the data to be remotely aggregated and compared to other machine data to help give a better understanding of overall machine health. The economical approach to its design allows the coolant health monitor to be realizable for both small manufacturing enterprises (SMEs) and large manufacturers alike. This widespread implementation will further benefit industry’s movement toward Internet-of-Things (IoT)-equipped manufacturing facilities.
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- PAR ID:
- 10211062
- Date Published:
- Journal Name:
- ASME 2019 14th International Manufacturing Science and Engineering Conference
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1115/MSEC2019-2755
