• The Journal of the Korea institute of electronic communication sciences
• /
• v.15 no.5
• /
• pp.913-922
• /
• 2020

In this paper, we propose a LoRa communication module using the LoRa RF module of Murata Electronics is designed to configure the IoT digital meter remote meter reading and a method of configuring a remote meter reading network by collecting multiple meter data in a DCU (Data Concentrate Unit) to configure a network with LoRaWAN. The developed system can be installed more easily and economically in the network configuration than the existing system by allowing the meter to be directly connected to the network or matched with a DCU to connect to the network according to the configuration of the consumer. The developed system was constructed using a digital water meter as an example, but it can also be applied to remote meter reading of the metered values of other meters such as electricity, water, gas, hot water and calorie meters. The main development contents are the design, configuration, and construction of digital meters, LoRa modules and DCUs, and how to connect the LoRaWAN network and transmit meter data to the server. By networking these devices, the system is configured, and the actual LoRaWAN communication is tested and the result is shown.

• Journal of the Korean Society of Industry Convergence
• /
• v.23 no.3
• /
• pp.507-513
• /
• 2020

Liquid filling machines are frequently used in packaging fields; however, there exists a problem in precisely measuring the quantity of the liquid. In the case where the liquid filling machine is not properly metered, there may be issues, such as the fluid exceeding the capacity or chemicals being exposed outside. In this paper, we propose a smart injection nozzle device that can solve the issues stated above. The proposed smart injection nozzle can raise the nozzle according to the water level to remove bubbles and inject the accurate amount of fluid. In addition, the efficiency of the logistics process is enhanced by the smart QR code. Through experiments using the developed smart injection nozzle device, we have noticed that the accuracy of injection capacity, nozzle position, reaction time and building data exceeded the target value. Therefore, it expected that this machine will give more production and save a lot of manpower for packaging industry.

• Journal of Korean Academy of Nursing
• /
• v.40 no.2
• /
• pp.202-212
• /
• 2010

Purpose: This study was done to evaluate the effectiveness of an education program for patients with asthma who use inhalers. Methods: The research design for this study was a non-equivalent control group quasi-experimental study. Participants in this study were 36 patients for the control group, and 43 patients for the experimental group. The experimental group participated in the education program. The control group received the usual care. Data were collected before and 1 month and 2 months after the program finished and were analyzed using the SPSS 12.0 program. Results: The experimental group had significantly higher scores of knowledge of inhalers, and inhalation technique compared to the control group. However, no significant differences were found between two groups for PEFR, asthma instability, and satisfaction with inhalers. Conclusion: According to the results, the education program was effective in improving knowledge of inhalers, and inhalation technique. Therefore, it is recommended that this education program be used in clinical practice as an effective nursing intervention for patients with asthma on inhalers.

• Journal of Korean Society of Water and Wastewater
• /
• v.29 no.3
• /
• pp.415-425
• /
• 2015

Aging water pipe networks hinder efficient management of important water service indices such as revenue water and leakage ratio due to pipe breakage and malfunctioning of pipe appurtenance. In order to control leakage in water pipe networks, various methods such as the minimum night flow analysis and sound waves method have been used. However, the accuracy and efficiency of detecting water leak by these methods need to be improved due to the increase of water consumption at night. In this study the Principal Component Analysis (PCA) technique was applied to the night water flow data of 426 days collected from a water distribution system in the interval of one hour. Based on the PCA technique, computational algorithms were developed to narrow the time windows for efficient execution of leak detection job. The algorithms were programmed on computer using the MATLAB. The presented techniques are expected to contribute to the efficient management of water pipe networks by providing more effective time windows for the detection of the anomaly of pipe network such as leak or abnormal demand.

• Journal of Korean Society of Water and Wastewater
• /
• v.36 no.3
• /
• pp.149-165
• /
• 2022

The water consumption data of individual consumers must be analyzed and forecast to establish an effective water demand management plan. A k-mean cluster model that can monitor water use characteristics based on hourly water consumption data measured using automated meter reading devices and demographic factors is developed in this study. In addition, the quantification model that can estimate the daily water consumption is developed. K-mean cluster analysis based on the four clusters shows that the average silhouette coefficient is 0.63, also the silhouette coefficients of each cluster exceed 0.60, thereby verifying the high reliability of the cluster analysis. Furthermore, the clusters are clearly classified based on water usage and water usage patterns. The correlation coefficients of four quantification models for estimating water consumption exceed 0.74, confirming that the models can accurately simulate the investigated demographic data. The statistical significance of the models is considered reasonable, hence, they are applicable to the actual field. Because the use of automated smart water meters has become increasingly popular in recent year, water consumption has been metered remotely in many areas. The proposed methodology and the results obtained in this study are expected to facilitate improvements in the usability of smart water meters in the future.

• Journal of Korea Water Resources Association
• /
• v.46 no.10
• /
• pp.969-976
• /
• 2013

Leakage in water distribution system causes social and economic losses by direct water loss into the ground, and additional energy demand for water supply. This research suggests a leak detection model of using adaptive Kalman filtering on real-time data of pipe flow. The proposed model takes into account hourly and daily variations of water demand. In addition, the model's prediction accuracy is improved by automatically calibrating the covariance of noise through innovation sequence. The adaptive Kalman filtering shows more accurate result than the existing Kalman method for virtual sine flow data. Then, the model is applied to data from two real district metered area in JE city. It is expected that the proposed model can be an effective tool for operating water supply system through detecting burst leakage and abnormal water usage.

• Journal of Korean Society of Water and Wastewater
• /
• v.24 no.5
• /
• pp.495-508
• /
• 2010

The aim of this study is to develop a quantified water loss Index to evaluate and manage leakage scientifically for the reduction of non-revenue water in water distribution systems. For the purpose, unavoidable background leakage suggested from UK water industry and IWA, and allowable water leakage in accord with the concept of allowable water loss are proposed by analyzing the inflow into two study water districts and the short-term water use of each customer in the districts. The study distribution areas are selected among the metered districts with good maintenance of leakage after improvement activities in Nonsan, medium sized city in Korea. Estimation models of allowable leakage are developed by metering and analyzing the minimum night flow at residential and commercial areas in the city. In the results of the investigation, it is estimated that background night flow in residential area was larger than that of commercial area where the types of business shows small water use characteristics. Meanwhile, night flow and background water loss on internal plumbing systems show great differences for each district which is influenced much by the water use characteristics and facilities scale. Based on metering water use data in various districts, leakage management criteria can be established under the consideration of domestic conditions in Korea by analyzing separated real water use and background leakage and it is possible to apply into presentation of optimal leakage level and reasonable time for working activities for leakage reduction.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.8 no.3
• /
• pp.20-26
• /
• 2009

One way to increase public revenue from public parking spaces is by improving the way parking meters gather data. Improved parking meters have evolved that increase car park revenue as well as efficiency in service and operations. It provides parking meters with the capacity to provide real-time information. This information consist primarily of the status of parking spaces (it indicates which expired metered spaces have parked vehicles.) The technology consists of sensors located at meters that report on their condition (i.e. whether it is working or if it is expired). This information is processed by a microprocessor and then sent via an internal wireless modem to the server. This server then processes the information from all the parking meters and sends it to the public institution in charge of them. This system also provides verification of parking permits. For example, disabled people with special license plates can be automatically approved for parking in designated places.