scholarly journals Health Monitoring System for Mine Areas

For underground coal mines environment should be kept monitered for the safety of people working underneath, the existing safety systems are not effective and expensive as well. The present health monitoring systems which are being used inside the coal mines need to connect through wires all the way which makes the system more expensive. Therefore wireless sensor network with various sensors to monitor all the important parameters in the mine are proposed and analyzed. Using gas sensor and temperature sensor we can derive the gas and temperature level of that place in the mine. Using heart rate sensor the pulse of the miner will be monitored continuously. Here NRF device is used to analyze the data and intimate the control unit.

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 ◽  
pp. 147592172199662
Author(s):  
Michela Torti ◽  
Ilaria Venanzi ◽  
Simon Laflamme ◽  
Filippo Ubertini

Life-cycle cost analysis is an approach that has gained popularity for assisting the design of civil infrastructures. The life-cycle cost analysis approach can be leveraged for structures equipped with structural health monitoring systems in order to quantify the benefits of the technology and de facto support its long-term implementation. However, for new structures, the long-term assessment of the expected value of the total investment cost, in terms of the current worth at the design time, is still the focus of ongoing research due to unknowns and uncertainties on the impact of the structural health monitoring system on long-term structural performance. This article proposes a new combined model of life-cycle cost formulation and simulation methodology for the long-term financial assessment of transportation bridges equipped with seismic structural health monitoring systems, in order to evaluate the total costs and benefits offered by such monitoring systems for post-seismic assessments. The formulation characterizes the time evolution of bridge management cost terms, highlighting the most sensitive parameters. The simulation methodology allows to quantitatively weigh each maintenance action on the total cost based on when the action is performed. The model is used to compare structures managed by the traditional approach of post-earthquake inspection versus those managed by a condition-based approach enabled by structural health monitoring systems. The originality of the model empowers the comparison by payback time, defined as the break-even point between costs and benefits of a structural health monitoring system, as well as by economic gain, defined as the difference between the total costs of an unmonitored versus a monitored structure through the end of service life. The proposed model is demonstrated through parametric analyses on a case study consisting of a continuous steel-concrete composite bridge, where the structural health monitoring system is used to monitor the elastic limit state condition of bending forces in piers during the earthquake.


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.


2017 ◽  
Vol 64 (3) ◽  
pp. 621-628 ◽  
Author(s):  
Haik Kalantarian ◽  
Costas Sideris ◽  
Bobak Mortazavi ◽  
Nabil Alshurafa ◽  
Majid Sarrafzadeh

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