Developing Innovative Energy Harvesting Approaches for Infrastructure Health Monitoring Systems

2011 ◽  
Author(s):  
Travis McEvoy ◽  
Eric Dierks ◽  
Jason Weaver ◽  
Sumedh Inamdar ◽  
Krystian Zimowski ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Monitoring System ◽  
Health Monitoring ◽  
Monitoring Systems ◽  
Local Data ◽  
Sensor Module ◽  
Health Monitoring Systems ◽  
System Life ◽  
Battery Technology ◽  
Infrastructure Health

Many factors must be addressed when designing infrastructure health monitoring systems. Structures in remote locations or with limited accessibility make the requirements for these systems unique and challenging. For locations where connection to the power grid is difficult or impossible, monitoring system life is severely limited by battery technology. Alternatively, an energy harvesting power supply can make the monitoring system independent of the grid while increasing capabilities and lifetime beyond what is possible with current battery technology. This paper discusses a design and development methodology for developing energy harvesting aspects of a health monitoring system. The system comprises a sensor module that monitors the health of the structure, an on-site processing module that analyzes the data, and a wireless communication module that transmits the data. The method is demonstrated by examples of energy harvesting systems for a bridge monitoring application, using solar, wind, and vibration energy harvesters to provide power to a wireless network, local data processors, and strain gauges. Theoretical feasibility of energy harvesting in these domains has been previously demonstrated. The examples described in this paper validate the feasibility previously calculated as well as illustrate shortcomings in the current technology that inhibit potential implementation. The examples also show areas where innovation is needed to continue to advance the technology of energy harvesting in this application on infrastructure.

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

2019 ◽  
Vol 9 (2) ◽  
pp. 957-960
Keyword(s):  
Monitoring System ◽  
Health Monitoring ◽  
Public Hospital ◽  
Low Cost ◽  
Monitoring Systems ◽  
Electronic Components ◽  
Oxygen Saturation Level ◽  
Health Monitoring System ◽  
Health Monitoring Systems ◽  
Oled Display

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.

scholarly journals Energy Harvesting for Aerospace Structural Health Monitoring Systems

2012 ◽  
Vol 382 ◽  
pp. 012025 ◽  
Author(s):  
M R Pearson ◽  
M J Eaton ◽  
R Pullin ◽  
C A Featherston ◽  
K M Holford
Keyword(s):  
Structural Health Monitoring ◽  
Energy Harvesting ◽  
Health Monitoring ◽  
Monitoring Systems ◽  
Structural Health ◽  
Health Monitoring Systems

Assessment, Mitigation, Management and Extension of Coke Drum Life Through Equipment Health Monitoring Systems and On Line Inspection

2017 ◽  
Author(s):  
Antonio J. Seijas ◽  
Julian J. Bedoya ◽  
Alex P. Stoller ◽  
Oscar A. Perez ◽  
Luis M. Marcano
Keyword(s):  
Monitoring System ◽  
Health Monitoring ◽  
Damage Accumulation ◽  
The United States ◽  
Monitoring Systems ◽  
Reliable Operation ◽  
Health Monitoring System ◽  
On Line ◽  
Health Monitoring Systems ◽  
Maintenance And Inspection

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.

scholarly journals Estimation of airframe weight reduction by integration of piezoelectric and guided wave–based structural health monitoring

2018 ◽  
Vol 18 (5-6) ◽  
pp. 1778-1788 ◽  
Author(s):  
Christoph P Dienel ◽  
Hendrik Meyer ◽  
Malte Werwer ◽  
Christian Willberg
Keyword(s):  
Monitoring System ◽  
Health Monitoring ◽  
Guided Wave ◽  
Monitoring Systems ◽  
Structure Health Monitoring ◽  
Health Monitoring System ◽  
Sensing Systems ◽  
Current Design ◽  
Health Monitoring Systems ◽  
Detection Capabilities

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%.

scholarly journals Industrial Pipe-Rack Health Monitoring System Based on Reliable-Secure Wireless Sensor Network

2012 ◽  
Vol 8 (10) ◽  
pp. 641391 ◽  
Author(s):  
Jong-Han Lee ◽  
Ji-Eun Jung ◽  
Nam-Gyu Kim ◽  
Byung-Hun Song
Keyword(s):  
Sensor Network ◽  
Monitoring System ◽  
Health Monitoring ◽  
Large Scale ◽  
Wireless Sensor ◽  
Monitoring Systems ◽  
Petrochemical Plant ◽  
Industrial Plants ◽  
Health Monitoring System ◽  
Health Monitoring Systems

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.

Energy Harvesting Potential of Terfenol-D for On-Board Bearing Health Monitoring Applications

2015 ◽  
Author(s):  
Raul Estrada ◽  
Heinrich Foltz ◽  
Constantine Tarawneh ◽  
Rene Moreno
Keyword(s):  
Energy Harvesting ◽  
Low Power ◽  
Health Monitoring ◽  
Limiting Factors ◽  
Monitoring Systems ◽  
Monitoring Applications ◽  
Board Monitoring ◽  
Health Monitoring Systems ◽  
Railroad Bearings

One of the limiting factors in on-board bearing health monitoring systems is the life of the batteries used to power the system. Thus, any device that can extend the life of the battery, or entirely replace it, is a notable improvement on any currently available systems. Existing on-board monitoring systems, not optimized for low power, are designed to run on approximately 300 mW of power. Current bearing health monitoring systems have proven effective with as few as one reading every four minutes. The environment under which railroad bearings operate is a harsh one, making most forms of energy harvesting very hard to implement. Terfenol-D is a novel and sustainable solution for this problem due to its durable characteristics and strong magnetostriction. A fixture is designed using multiple magnets of ranging magnetization to properly characterize energy harvesting using Terfenol-D. The maximum available power observed during these experiments is about 77 mW under ideal conditions. The generated power is sufficient to run low-power bearing health monitoring systems.

scholarly journals CHRONIC DISEASE MONITORING SYSTEM MODEL: STUDY ON EXISTING SYSTEM FEATURES AND TECHNOLOGIES

2021 ◽  
Vol 6 (22) ◽  
pp. 103-114
Author(s):  
Akmal Afiq Abdul Haris ◽  
Norshita Mat Nayan
Keyword(s):  
Chronic Diseases ◽  
Monitoring System ◽  
Health Monitoring ◽  
Industrial Revolution ◽  
Selection Process ◽  
Smart Devices ◽  
Monitoring Systems ◽  
Chronic Obstructive ◽  
Obstructive Pulmonary Disease ◽  
Health Monitoring Systems

The aim of this study is to review the currently available health monitoring systems to search for a gap in features and technologies that are available now. We performed a systematic literature review between January 2010 and March 2020 on few journal databases such as Elsevier ScienceDirect, IEEE Xplore, CORE, and Academia. A total of 1746 records were identified. In the selection process, we found 8 papers meeting the inclusion criteria. Data drawn from the 8 papers were synthesized in this study. All of the studies were on health monitoring systems that included their features and technologies and contained a model or prototype of a system and a list of diseases that the system supports. The results in this article show that all the health monitoring systems have similar use cases for each study but utilize different methodologies and technology. The Fourth Industrial Revolution capable devices such as IoT, smart devices, sensors,s and cloud computing are the most important pieces of technology for remote monitoring patients. We found that heart and lung-related chronic diseases such as congestive heart failure (CHF) and chronic obstructive pulmonary disease (COPD) are the most in-focus chronic diseases that are currently using the health monitoring system. Based on the result, it can be seen that all of the studies on features of health monitoring systems are quite similar, with different approaches. The study was able to show us the advancement and variety of technologies used within the healthcare industry. Since this study focuses more on the features, technology, and disease listing, information on clinical trials is not included.

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