scholarly journals Design of In-situ Self-diagnosable Smart Controller for Integrated Algae Monitoring System

2017 ◽  
Vol 5 (1) ◽  
pp. 64-69
Author(s):  
Sung Hwa Lee ◽  
Vinayagam Mariappan ◽  
Dong Chan Won ◽  
Jaekwon Shin ◽  
Seungyoun Yang
Keyword(s):  
2010 ◽  
Author(s):  
ByoungChang Kim ◽  
MinCheol Kwon ◽  
JaeBoong Ha ◽  
KangWoo Lee

2013 ◽  
Vol 779-780 ◽  
pp. 1526-1531
Author(s):  
Kang Lin Wei ◽  
Ming Chen ◽  
Fei Wang ◽  
Qiong Fang

Total phosphorus is an much important key water quality parameter . In view of the technical defects of existing detection methods and instruments for in situ monitoring total phosphorus, a new detection method based on ultrasonic assisted sample digestion and spectrum analysis was put forward in this paper, and the automatic monitoring system prototype based on such detection method had been developed. Aiming at wastewater treatment, the spot experiment had been carried out to contrast prototype with Chinas national standard analysis method for on line measuring total phosphorus in the water, and the results of the comparative experiment showed that the automatic monitoring instrument prototypes had good repeatability (10%) and high accuracy (±10%), which met the technical qualifications of Chinas environmental protection industry standards.


Due to the recent advancements in the fields of Micro Electromechanical Sensors (MEMS), communication, and operating systems, wireless remote monitoring methods became easy to build and low cost option compared to the conventional methods such as wired cameras and vehicle patrols. Pipeline Monitoring Systems (PMS) benefit the most of such wireless remote monitoring since each pipeline would span for long distances up to hundreds of kilometers. However, precise monitoring requires moving large amounts of data between sensor nodes and base station for processing which require high bandwidth communication protocol. To overcome this problem, In-Situ processing can be practiced by processing the collected data locally at each node instead of the base station. This Paper presents the design and implementation of In-situ pipeline monitoring system for locating damaging activities based on wireless sensor network. The system built upon a WSN of several nodes. Each node contains high computational 1.2GHz Quad-Core ARM Cortex-A53 (64Bit) processor for In-Situ data processing and equipped in 3-axis accelerometer. The proposed system was tested on pipelines in Al-Mussaib gas turbine power plant. During test knocking events are applied at several distances relative to the nodes locations. Data collected at each node are filtered and processed locally in real time in each two adjacent nodes. The results of the estimation is then sent to the supervisor at base-station for display. The results show the proposed system ability to estimate the location of knocking event.


Author(s):  
Mahlatse Kganvago ◽  
Mxolisi B. Mukhawana ◽  
Morwapula Mashalane ◽  
Aphelele Mgabisa ◽  
Simon Moloele

Metals ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. 336
Author(s):  
Shin Jang ◽  
Juhyun Nam ◽  
Samgon Lee ◽  
Je Oh

The aim of this study is to design and test a new, simple, and reusable linear variable differential transformer (LVDT)-based in situ bolt preload monitoring system (L-PMS) during fastening of a truck wheel assembly. Instead of measuring the elongation of a bolt, the distance between the end surfaces of both the bolt and nut was monitored via the L-PMS. The distance obtained from the L-PMS was experimentally correlated with the actual preload measured by a washer-type load cell. Since the variation of the distance is related to the stiffness of the bolt and clamped parts, a finite element analysis was also conducted to predict the sensitivity of L-PMS. There was a strong linear relationship between the distance and bolt preload after the bolt and nut were fully snugged. However, a logarithm-shaped nonlinear relationship was irregularly observed before getting snugged, making it difficult to define a clear relationship. In order to tackle this issue, an arc-shaped conductive line was screen-printed onto the surface of the clamped parts using a conductive carbon paste. The results show that a resistance variation of the conductive line during fastening enables to determine the snug point, so the L-PMS combined with resistance measurement results in an approximately ±6% error in the measurement of bolt preload. The proposed L-PMS offers a simple but highly reliable way for measuring bolt preload during fastening, which could be utilized in a heavy-truck production line.


Author(s):  
H. Nóbrega ◽  
G. Freitas ◽  
M. A. Zavattieri ◽  
C. Ragonezi ◽  
L. Frese ◽  
...  

2011 ◽  
Vol 32 (2) ◽  
pp. 31-39 ◽  
Author(s):  
Laura Sherrod ◽  
William Sauck ◽  
D. Dale Werkema

2002 ◽  
Vol 11 (1) ◽  
pp. 61-67 ◽  
Author(s):  
T.J. Harpster ◽  
S. Hauvespre ◽  
M.R. Dokmeci ◽  
K. Najafi

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