• Proceedings of the Korean Society of Agricultural Engineers Conference
• /
• 2002.10a
• /
• pp.137-140
• /
• 2002

The monitoring system for integrated management of on-site wastewater treatment plants(biofilter) was designed and its operation program was developed. In design process, the research on monitoring parameters which will be able to represent condition and operation of the pilot plants was accomplished, and these parameters came to reveal with ORP(Oxidation-Reduction Potential), water level, pump and power on/off. Proposed monitoring system is composed with measurement, control, communication and display device, and PCB(Prototype Circuit Boards) and microcontroller (PIC16F877) technique are applied to its design of control device for performing specific function. also, The operation program of PC setup is developed in order to provide a convenience to the manager.

• Journal of the Korean Society for Precision Engineering
• /
• v.12 no.12
• /
• pp.30-37
• /
• 1995

The mechanical seals, which are installed in rotating machines like pump and compressor, are gengrally used as sealing devices in the many fields of industries. The failure of mechanical seals such as leakage,fast and severe wear, excessive torque, and squeaking results in big problems. To monitor the failure of mechanical seals and to propose the proper monitoring techniques with artificial neural network, sliding wear experiments were conducted. Torque and temperature of the mechanical seals were measured during experiments. Optical microstructure was observed for the wear processing after every 10 minute sliding at rotation speed of 1750 rpm and scanning electron microscopy was also observed. During the experiment, the variation of torque and temperature that meant an abnormal phenomenon, was observed. That experimental data recorded were applied to the developed monitoring system with artificial neural network. This study concludes that torque and temperature of mechanical seals wil be used to identify and to monitor the condition of sliding motion of mechanical seals. An availability to monitor the mechanical seal failure with artificial neural network was confirmed.

• Journal of the Korean Society for Precision Engineering
• /
• v.17 no.7
• /
• pp.98-105
• /
• 2000

In this study, we developed rotating machine vibration condition monitoring system based upon Windows NT and DSP Board. Developed system includes signal analysis module, trend monitoring and simple diagnosis using threshold value. Trend analysis and report generation are offered with database management tool which was developed in MS-ACCESS environment. Post-processor, based upon Matlab, is developed for vibration signal analysis and fault detection using statistical pattern recognition scheme based upon Bayes discrimination rule and neural networks. Concerning to Bayes discrimination rule, the developed system contains the linear discrimination rule with common covariance matrices and the quadratic discrimination rule under different covariance matrices. Also the system contains k-nearest neighbor method to directly estimate a posterior probability of each class. The result of case studies with the data acquired from Pyung-tak LNG pump and experimental setup show that the system developed in this research is very effective and useful.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.19 no.1
• /
• pp.209-216
• /
• 2024

Land shrimp farms can control the growth environment more stably than coastal ones, making them advantageous for high-quality, large-scale production. In order to maintain an optimal shrimp growth environment, various factors such as water circulation, maintaining appropriate water temperature, oxygen supply, and feed supply must be managed. In particular, failure to properly manage water quality can lead to the death of shrimp, making it difficult to have people stationed at the farm 24 hours a day to continuously manage them. In this paper, to solve this problem, we design an integrated monitoring system for land farms that can be operated with minimal manpower. The proposed design plan uses IoT technology to collect real-time images of land farms, pump status, water quality data, and energy usage and transmit them to the server. Through web interfaces and smartphone apps, administrators can check the status of the farm stored on the server anytime, anywhere in real time and take necessary measures. Therefore, it is possible to significantly reduce field work hours without the need for managers to reside in the farm.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
• /
• 2010.10a
• /
• pp.441-442
• /
• 2010

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
• /
• 2010.10a
• /
• pp.511-512
• /
• 2010

• Journal of the Korean Institute of Gas
• /
• v.2 no.3
• /
• pp.88-95
• /
• 1998

Vibration analysis of rotating machinery can give an indication of possible faults thus allowing maintenance before further damage occurs. Current predictive maintenance system installed in Pyung-tak has the ability to diagnose the mechanical problems within the LNG Pump when the vibration exceeds preset overall alarm levels. In this study, LNG pump auto-diagnosis system based upon Windows NT and DSP Board is developed. This system analysis velocity signal acquired from dual accelerometer input monitor system to diagnose pump condition. Many plots which display machine condition are shown and features of vibration are stored in every time. If the fault is found, the system diagnoses automatically using expert system and trend monitoring. Operator checks pump condition intuitively using personal computer monitor.

• Journal of Biosystems Engineering
• /
• v.32 no.4
• /
• pp.263-268
• /
• 2007

An auto sampling and filtering unit was developed for monitoring automation of a fermentation process and its performance was evaluated. The automatic sampling and filtering unit was constructed with a glass filter, a diaphragm suction pump, and a flow direction change valve. To evaluate operating stability, delivery volumes of the suction pump were measured according to the experimental conditions of cellulose powder, pore size of the glass filter and suction head of the pump. The developed unit could deliver the sample solution under any experimental conditions except the filter pore size of $16{\mu}m$ and the suction head of 20cm. In case of the suction head of 30cm, the pump could not deliver the sample solution at all. Concentrations of the sample solutions were converged on those of the standard glucose solution after 8 minutes from the initial sampling time. The relative error of concentration between the sample and the standard solution showed 3.8, 4.8, 7.0% for the 1, 3, 5% contents of cellulose powder, respectively.

• Journal of Soil and Groundwater Environment
• /
• v.14 no.4
• /
• pp.10-14
• /
• 2009

Objective of this study was to examine the effects of grouts and temperature change on microorganisms in geothermal heat pump. Groundwater samples were obtained from wells in the heat pump system during installation (Oriental medicine hospital) and in the heat pump system under operation (Business incubation center). Grouts are the volclay sodium bentonite. Real-time PCR was used to evaluate total bacterial number and 16S rDNA. The results showed that total bacterial number of groundwater in the heat pump operation was greater than that of non-operation case, which indicates a temperature effect on the bacterial culture. In addition, high concentration of grout showed an elevated bacteria number. In the mean time, a long-term field monitoring is essentially required to confirm the effects of the grouts and the temperature changes.

• Journal of Soil and Groundwater Environment
• /
• v.19 no.3
• /
• pp.33-38
• /
• 2014

This study was performed to evaluate the applicability of pump and treat technology as well as to identify the changes of groundwater level by continuous pumping at the petroleum contaminated site. A total of 9 monitoring wells were installed at the site and the contaminant concentrations, TPH, benzene, toluene, ethylbenzene and xylene, of groundwater were measured. With the results of the groundwater monitoring, a total of 9 wells were set up for pumping contaminated groundwater in 3 locations. The waste water treatment facility with a capacity of $10m^3/hr$ was installed in the site and operated for about 1 year. The concentrations of the contaminated groundwater from the 3 pumping wells were exceeded groundwater regulation for benzene and TPH. However, the effluent concentration of benzene and TPH was under the regulation showing the maximum level of 0.011 mg/L and 1.2 mg/L during the operation periods. Groundwater levels were decreased by continuous pumping and those were not recovered during the operation period. Groundwater levels of PW-1,2, PW-3,4,5,6 and PW-7,8,9 were decreased about 5 m, 0.7 m, 2 m, respectively. The hydraulic conductivity (K) of the region of PW-1,2, PW-3,4,5,6 and PW-7,8,9 was estimated to be $6.143{\times}10^{-5}cm/sec$, $2.675{\times}10^{-5}cm/sec$, $1.198{\times}10^{-4}cm/sec$. Groundwater level was seemed to be affected not by hydraulic conductivity but by morphological effect. These results show that the pump and treat technology has high applicability for the restoration of petroleum contaminated groundwater but needs continuous monitoring to prevent rapid groundwater drawdown.