scholarly journals Design of a Portable Health Monitoring System Based on Node MCU

In the present work, we have designed a health monitoring system based on Node MCU to monitor temperature, heart rate and oxygen saturation level (SpO2) signals, sensed by respective sensors. The necessary signal conditioning circuits have been designed in our laboratory using off-the shelf electronic components. A Data acquisition system has been designed using ESP 32 Node MCU. The designed system is a low-cost alternative to the commercially available USB controller based health monitoring systems. Firmware has been developed and deployed into the Node MCU using arduino IDE. The acquired data has been displayed on OLED display. The result shows maximum errors in the measured parameters within 2%. The designed system helps to achieve portability, high functionality and low cost which makes it an easy accessible tool for public, hospital, sports healthcare and other medical purposes.

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Mohammad Monirujjaman Khan ◽  
Safia Mehnaz ◽  
Antu Shaha ◽  
Mohammed Nayem ◽  
Sami Bourouis

During the ongoing COVID-19 pandemic, Internet of Things- (IoT-) based health monitoring systems are potentially immensely beneficial for COVID-19 patients. This study presents an IoT-based system that is a real-time health monitoring system utilizing the measured values of body temperature, pulse rate, and oxygen saturation of the patients, which are the most important measurements required for critical care. This system has a liquid crystal display (LCD) that shows the measured temperature, pulse rate, and oxygen saturation level and can be easily synchronized with a mobile application for instant access. The proposed IoT-based method uses an Arduino Uno-based system, and it was tested and verified for five human test subjects. The results obtained from the system were promising: the data acquired from the system are stored very quickly. The results obtained from the system were found to be accurate when compared to other commercially available devices. IoT-based tools may potentially be valuable during the COVID-19 pandemic for saving people’s lives.


Author(s):  
Antonio J. Seijas ◽  
Julian J. Bedoya ◽  
Alex P. Stoller ◽  
Oscar A. Perez ◽  
Luis M. Marcano

The reliability of coke drums has become a central theme to many refineries worldwide as high value products are recovered from refinery residuum. The severe thermal gradients inherent in the coking process have led to ever more frequent failures from cracks in bulges, skirts and cones, which reduce productivity and jeopardize the safe and reliable operation of coke drums. An intrinsically-safe coke drum health monitoring system rated for operation in hazardous environments, consisting of high temperature strain gauges and thermocouples was installed on a coke drum at a refinery in the United States. Specific locations identified as high risk areas through a combination of engineering analyses, inspections and historical repairs were targeted for monitoring. The health monitoring system calculates the cumulative damage and damage rates at critical locations through the quantification of thermal transient gradients and measured strains, and analyzes the trends over time. Of particular interest are two high damage events recorded with the health monitoring system that closely preceded the propagation of a through wall crack, approximately one week after the events. This paper performed a post-mortem analysis of the event, and shows how the data obtained via health monitoring systems can be used for prioritizing inspections and the potential for anticipation of failures. By analyzing damage accumulation trends from specific operational practices, the impacts of process changes on the expected life of the coke drum can be assessed. Finally, a detailed review of the maintenance and inspection records, results of the on-line Non-Destructive Examination (NDE), laser mapping, and bulged severity assessment were used to prepare a detailed inspection and repair plan for a forthcoming turnaround. The damage accumulation trends captured with an Equipment Health Monitoring System (EHMS) were used to optimize operating parameters of the coke drums referred to in this paper. This together with the execution of detailed inspection plan and comprehensive repairs are allowing a safe and reliable operation of these drums.


2018 ◽  
Vol 18 (5-6) ◽  
pp. 1778-1788 ◽  
Author(s):  
Christoph P Dienel ◽  
Hendrik Meyer ◽  
Malte Werwer ◽  
Christian Willberg

Current design rules are analyzed and challenged by considering better damage-detection capabilities offered by structure health monitoring systems. The weight-saving potential associated to the integration of such sensing systems is discussed with regards to structural and structure health monitoring system design. Three prospective scenarios are analyzed and considered in a specific use case. According to the most promising scenario (i.e. robust detectability of damages larger than 300 mm2), structural weight reductions of approximately 9% can be achieved. Considering the weight added by the structure health monitoring system, effective weight savings in the order of 5% are achievable. Although this potential is rather modest, applying structure health monitoring systems on structures mainly driven by the damage tolerance criterion is expected to provide reductions far beyond 5%.


2012 ◽  
Vol 8 (10) ◽  
pp. 641391 ◽  
Author(s):  
Jong-Han Lee ◽  
Ji-Eun Jung ◽  
Nam-Gyu Kim ◽  
Byung-Hun Song

Energy and power industrial plants need to improve the health monitoring systems of their facilities, particularly high-risk facilities. This need has created a demand for wireless sensor networks (WSNs). However, for the application of WSN technology in large-scale industrial plants, issues of reliability and security should be fully addressed, and an industrial sensor network standard that mitigatesthe problem of compatibilitywith legacy equipment and systems should be established. To fulfill these requirements, this study proposes a health monitoring system of the pipe-rack structure using ISA100.11a standard. We constructed the system, which consists of field nodes, a network gateway, and a control server, and tested its operation at a large-scale petrochemical plant. The data obtained from WSN-based sensors show that the proposed system can constantly monitor and evaluate the condition of the pipe-rack structure and provide more efficient risk management.


Author(s):  
Liya George

Different types of health monitoring systems are now available in the market. We are using them as a part of our day-to-day life to analyze health conditions. In the case of sea researchers and scuba divers, the medium they are working is water. The health difficulties are more inside the water. So there is a need to develop a health monitoring system for sea researcher’s/scuba divers to analyze their health condition frequently to ensure their safety. The proposed work uses LiFi technology as the communication method to transmit and receive corresponding bio parameter values. This work aims to provide a harmless wireless health monitoring system that will provide maximum efficiency inside the water.


Author(s):  
Thomas Feldhausen ◽  
Asimm Hirani ◽  
Walter King ◽  
Roby Lynn ◽  
Thomas Kurfess

Abstract 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.


2014 ◽  
Vol 889-890 ◽  
pp. 829-832 ◽  
Author(s):  
Hong Ma

Based on the Bluetooth technology, using wireless sensor network design the mountain of debris flow health monitoring system, analysied and fixed mountain monitoring elements, given the data acquisition and processing methods, the project is simple, low cost, high reliability . To solve monitoring, early warning, data analysis of the current landslides and debris flow disaster, which are very practical.


2011 ◽  
Vol 378-379 ◽  
pp. 328-331
Author(s):  
Ling Luo ◽  
Hong Luo ◽  
Bai Song Du

In the companion paper, a new health monitoring system with five sub-systems is proposed for cable-stayed bridges. In this paper, for a health monitoring system of the cable-stayed bridge, it is classified four levels as excellent, good, fair, and poor base on the function of the system at the first time. The monitoring systems of the second Wujiang Bridge, a cable-stayed bridge with a low tower and a high tower, and the Shibangou Yangtze River Bridge, a cable-stayed bridge with regular double towers, are employed as two examples to narrate the determination of the monitoring parameters, monitoring contents and methods, the principles of the positions of measuring points, and evaluation of the system grade. The health monitoring system for the cable-stayed bridge sets up a good example for other types of bridges and has a reference value for the development of the bridge health monitoring systems.


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