Wireless Sensors with Advanced Detection and Prognostic Capabilities for Corrosion Health Management

Analatom, Inc. is developing the Structural Health Monitoring (SHM) system using its Linear Polarization Resistance (LPR) corrosion sensors combined with a Texas Instruments MSP430 microprocessor for lower weight, lower power, higher sensitivity, and lower cost than conventional sensor systems. The system provides both strain and corrosion measurements in a package a few mils thick. This combination of data provides critical assessment of structural health, leading to prediction of failure. The MEMS sensors are permanently installed in a highvalued structure, such as a building, bridge or aircraft, and are connected to a data acquisition node. Data transmission and downloading uses a MaxStream ZigBee/IEEE 802.15.4 compliant chip for a wireless, self-organizing network that has low power requirements. The sensor network provides a low-cost, non-intrusive way to detect failures, or to signal ahead of time that preventative maintenance needs to be undertaken to prevent future more expensive replacement. Analatom, Inc. has developed the basic technology for a Portable Maintenance Support Tool (PMST). The device is unique and novel in that it uses a Micro Controller Unit in a handheld device to perform data analysis whilst maintaining a link with a Personal Computer based database for further support. The handheld prototype with a Liquid Crystal Display (LED) touch screen GUI takes readings from a variety of sensors and transfers the data wirelessly to a central PC hub. The handheld unit using the downloaded data from the sensor network can then provide a graphic display and additionally transfer those data to a workstation for further data analysis. Analatom, Inc. builds on its corrosion system platform (sensors, data acquisition unit, data storage) to develop a multiplexed system to obtain data from a variety of sensors, while further developing real time intelligent algorithms to monitor corrosion rates.

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Development of Arduino-based Data Acquisition System for Environmental Monitoring using Zigbee Communication Protocol

APTIKOM Journal on Computer Science and Information Technologies ◽

10.11591/aptikom.j.csit.119 ◽

2016 ◽

Vol 1 (3) ◽

pp. 109-118

Author(s):

Busari Sherif A. ◽

Dunmoye Abibat F. ◽

Akingbade Kayode F.

Keyword(s):

Environmental Monitoring ◽

Data Acquisition ◽

Data Storage ◽

Health Management ◽

Medical Diagnostics ◽

Indoor Climate ◽

Data Logging ◽

Climate Control ◽

Time Data ◽

Receiver System

Data Acquisition Systems (DAS) are used for a variety of applications such as environmental monitoring, indoor climate control, health management and medical diagnostics, traffic surveillance and emergency response, disaster management among others. This paper presents the design of a DAS for monitoring environmental temperature, pressure and relative humidity. The system employs Arduino Uno microcontroller for signal processing and Zigbee transceivers operating on the 2.4 GHz license-free Industrial, Scientific and Medical (ISM) band as communication modules at both the transmitter and receiver ends. While the transmitter board houses the sensors, a GPS module and an LCD, the receiver system is interfaced with a PC which runs a developed MATLAB GUI for data display and analysis and it incorporates an SD card for data storage. The battery-powered system is a low cost, low-power consumption system which serves as a mini-weather station with real-time data logging, wireless communication and tracking capabilities.

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The Research on Hydraulic Components Data Monitoring and Management System Based on Network Real-Time Monitoring

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.457-458.745 ◽

2013 ◽

Vol 457-458 ◽

pp. 745-750

Author(s):

Qi Zhang ◽

Zhi Jing Zhang ◽

Xin Jin

Keyword(s):

Data Analysis ◽

Data Acquisition ◽

Real Time ◽

Data Storage ◽

Management System ◽

Analysis Data ◽

Data Monitoring ◽

Hydraulic Control ◽

Real Time Monitoring ◽

Data Acquisition Card

in order to improve the speed and accuracy of monitoring data of hydraulic components,improve the method and efficiency of data storage management, hydraulic components data monitoring and management system based on network real-time monitoring were researched.system uses the ADLINK PCI-9114 data acquisition card collecting signal the sensor transferring,then transfer the signal to the computer on the scene.Temperature,pressure,flow and other signal data acquisition,data analysis,data storage and alarm functions were realized through the LabVIEW software.The system also achieved real-time remote monitoring by B/S structure.Compared with the existing hydraulic control system,the system integrated data acquisition,data analysis,data storage and alarm function and realized the remote real-time monitoring,also have a good interface of humanization design.So it can be applied to the field of hydraulic components data acquisition.

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Development of a big data system to assess ecosystem services of surface soil

10.5194/egusphere-egu2020-12781 ◽

2020 ◽

Author(s):

Kyoung Jae Lim ◽

Dongjun Lee ◽

Jonggun Kim ◽

Jae E Yang ◽

Minhwan Shin

Keyword(s):

Big Data ◽

Data Analysis ◽

Data Processing ◽

Data Acquisition ◽

Soil Properties ◽

Data Storage ◽

Surface Soil ◽

Data System ◽

Environmental Model ◽

Data Set

<p>A big data system plays a significant role in various fields. This technology has also been applied to environment fields because it can discover hidden patterns between environmental factors. As the massive data set was constructed for several decades, big data analysis has widely been using for extracting useful information by analyzing different types of big data sets. In this study, we developed a big data system frame to assess the ecosystem service provided from surface soil. Among big data platforms, we used the Amazon Web Service (AWS) due to their cost-efficiency and hardware flexibility. There are five stages of the big data system (i.e. data acquisition&#8211; data storage &#8211; data processing &#8211; data analysis &#8211; visualization). In the data acquisition step, the soil sensor and Internet of Things (IoT) system were used, and we collected existing soil properties data provided by national institutes such as Rural Development Administration (RDA), Ministry of Environment (MOE), and Ministry of Land, Infrastructure, and Transport (MOLIT). AWS S3 platform, which is an object storage service and provides easy-to-use management features to users, was accepted as the data storage platform of the big data system. Amazon EMR, Amazon SageMaker, and Amazon QuickSight were used for the step of data processing, data analysis, and visualization of the big data system respectively. We tested that the developed system could predict soil bulk density and able to replace a typical environmental model by using models based on machine learning and deep learning. The results of the two tests showed positive results that the developed models could predict soil properties and simulate natural phenomena as much as the typical environmental model could. &#160;However, since the system is at an early development stage, it needs repetitive tests in the future considering various soil properties. If this system becomes fully functional, the system will be helpful to improve soil environments.</p>

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Data acquisition system for X-ray free-electron laser experiments at SACLA

Journal of Synchrotron Radiation ◽

10.1107/s1600577515004506 ◽

2015 ◽

Vol 22 (3) ◽

pp. 571-576 ◽

Cited By ~ 32

Author(s):

Yasumasa Joti ◽

Takashi Kameshima ◽

Mitsuhiro Yamaga ◽

Takashi Sugimoto ◽

Kensuke Okada ◽

...

Keyword(s):

Data Analysis ◽

Data Acquisition ◽

Data Storage ◽

Free Electron ◽

Free Electron Laser ◽

Data Acquisition System ◽

Acquisition System ◽

X Ray ◽

High Data ◽

Laser Experiments

A data acquisition system for X-ray free-electron laser experiments at SACLA has been developed. The system has been designed for reliable shot-to-shot data storage with a high data stream greater than 4 Gbps and massive data analysis. Configuration of the system and examples of prompt data analysis during experiments are presented. Upgrade plans for the system to extend flexibility are described.

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Train Monitoring System Design Based on ARM-Linux Embedded Syetem

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.424-425.395 ◽

2012 ◽

Vol 424-425 ◽

pp. 395-398

Author(s):

Chang Ze Wen

Keyword(s):

Data Analysis ◽

Embedded System ◽

Data Acquisition ◽

Remote Communication ◽

Handheld Device ◽

Database Development ◽

Development Platform ◽

Development Technology ◽

The Embedded System ◽

Embedded Database

In order to make train monitoring easier, a embedded handheld device is designed to replace the dump box of LKJ2000 in this paper. The establishment of ARM-Linux development platform, code transplantation and embedded database development technology of QT and SQLite are introduced and Data acquisition, data dump, data analysis and printing are realized in the embedded system. The wireless remote communication is performed with GPRS module. The experiment results show that data acquisition and management become convenient and real-time with the embedded database and GPRS technology

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Development of Arduino-based Data Acquisition System for Environmental Monitoring using Zigbee Communication Protocol

APTIKOM Journal on Computer Science and Information Technologies ◽

10.34306/csit.v1i3.56 ◽

2020 ◽

Vol 1 (3) ◽

pp. 109-119

Author(s):

Busari Sherif A ◽

Dunmoye Abibat F ◽

Akingbade Kayode F.

Keyword(s):

Environmental Monitoring ◽

Data Acquisition ◽

Data Storage ◽

Health Management ◽

Medical Diagnostics ◽

Indoor Climate ◽

Data Logging ◽

Climate Control ◽

Time Data ◽

Receiver System

Data Acquisition Systems (DAS) are used for a variety of applications such as environmental monitoring,indoor climate control, health management and medical diagnostics, traffic surveillance and emergency response,disaster management among others. This paper presents the design of a DAS for monitoring environmentaltemperature, pressure and relative humidity. The system employs Arduino Uno microcontroller for signal processingand Zigbee transceivers operating on the 2.4 GHz license-free Industrial, Scientific and Medical (ISM) band ascommunication modules at both the transmitter and receiver ends. While the transmitter board houses the sensors, aGPS module and an LCD, the receiver system is interfaced with a PC which runs a developed MATLAB GUI for datadisplay and analysis and it incorporates an SD card for data storage. The battery-powered system is a low cost, lowpower consumption system which serves as a mini-weather station with real-time data logging, wirelesscommunication and tracking capabilities.

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Application of Embedded System in the Train Information Management System

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.44-47.1044 ◽

2010 ◽

Vol 44-47 ◽

pp. 1044-1048

Author(s):

Yu Feng Li ◽

Yi Shu Ma ◽

Shu Ai Feng

Keyword(s):

Data Analysis ◽

Wireless Communication ◽

Embedded System ◽

Data Acquisition ◽

Real Time ◽

Information Management ◽

Information Management System ◽

Handheld Device ◽

Development Platform ◽

Development Technology

In order to make train monitoring easier, this paper is to design a embedded handheld device to replace the dump box of LKJ2000.Data acquisition, data dump, data analysis and printing will be realized in a handheld embedded syetem.This paper introduces the establishment of ARM-Linux development platform, transplantation and development technology of QT and SQLite,development of GPRS and wireless communication technology.Experiments show that,data acquisition and management become convenient and real-time with embedded database and GPRS.

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