In this study, the performances of H2S, NH3, and HCl sensors for real-time monitoring in small emission facilities (4, 5 grades in Korea) were evaluated at high concentration conditions of those gases. And the proper approach for the collection of reliable measurement data by sensors was suggested through finding out the effect on sensor performances according to changes in temperature and humidity (relative humidity, RH) settings. In addition, an assessment on sensor data correction considering the effects produced by environmental settings was conducted. The effects were tested in four different conditions of temperature and humidity. The sensor performances (reproducibility, precision, lower detection limit (LDL), and linearity) were good for all three sensors. The intercept (ADC0) values for all three sensors were good for the changes of temperature and humidity conditions. The variation in the slope value of the NH3 sensor showed the highest value, and this was followed by the HCl, H2S sensors. The results of this study can be helpful for data collection by enabling the more reliable and precise measurements of concentrations measured by sensors.

The high-level nuclear waste (HLW) repository is a 500-1,000 m deep underground structure to dispose high-level nuclear waste. The waste has a very long half-time and is exposed to a number of stresses, including high temperatures, high humidity, high pressure These stresses cause the structure to deteriorate and create cracks. Therefore, structural health monitoring with monitoring sensors is required for safety. However, sensors could also fail due to the stresses, especially high temperature. Given that the sensors are installed in the bentonite buffer and the backfill tunnel, it is impossible to replace them if they fail. That’s why it is necessary to assess the sensors’ durability under the repository’s environmental conditions before installing them. Accelerated life test (ALT) can be used to assess durability or life of the sensors, and it is important to obtain the same failure mode for reliability tests including ALT. Before conducting the test, the proper stress level must be designed first to get reliable data in a short time. After that, acceleration of life reduction with increasing temperature and temperature-life model should be determined with some statistical methods. In this study, a methodology for designing stress levels and predicting the life of the sensor were described.

This study monitored temperature using electronic sensors and developed a prediction model for compost maturity. The experiment used swine manure in a mechanical composting facility equipped with a screw-type agitator, and the composting process was conducted for 60 d during the summer season in South Korea. Four electronic temperature sensors were installed on the inner wall between the compost piles on Days 7, 14, 21, and 28 for daily temperature monitoring. Compost samples were collected daily for 60 d, and compost maturity was analyzed using the Solvita method. Multiple comparisons, correlations, and modeling were performed using the stat package in R software. The average compost pile temperatures was 39.1±3.9, 36.4±4.3, 31.3±4.5, and 35.4±8.1 on days 7, 14, 21, and 28, respectively, after composting. The average compost maturity according to the composting date was 3.61±0.60, 4.13±0.59, 4.26±0.47, and 4.32 ±0.56 on days 7, 14, 21, and 28, respectively. A significant negative correlation was observed between the compost composting periods (seven, 14, 21, and 28 d) and the temperature of all compost piles (p<0.05), where the correlation coefficients were -0.329, -0.382, -0.507, and -0.634, respectively. A significant positive correlation was observed between the compost composting periods (seven, 14, 21, and 28 d) and the maturity of the compost (p<0.05), where the correlation coefficients were 0.410, 0.550, 0.727, and 0.840, respectively. The model for predicting the maturation of the 14 d average compost pile according to the compost composting period and the average temperature for 14 d was y=0.026 x d – 0.021 x mt.x_14 d (mean temperature for 14 d) + 4.336 (R2=0.7612, p<0.001). This study can be considered a basic reference for predicting compost maturity by the proposed model using electronic temperature sensors.

The acoustic emission (AE) is proposed as a feasible method for the real-time monitoring of the structural damage evolution in concrete materials that are typically used in the storage of nuclear wastes. However, the characteristics of AE signals emitted from concrete structures subjected to various environmental conditions are poorly identified. Therefore, this study examines the AE characteristics of the concrete structures during uniaxial compression, where the storage temperature and immersion conditions of the concrete specimens varied from 15℃ to 75℃ and from completely dry to water-immersion, respectively. Compared with the dry specimens, the water-immersed specimens exhibited significantly reduced uniaxial compressive strengths by approximately 26%, total AE energy by approximately 90%, and max RA value by approximately 70%. As the treatment temperature increased, the strength and AE parameters, such as AE count, AE energy, and RA value, of the dry specimens increased; however, the temperature effect was only minimal for the immersed specimens. This study suggests that the AE technique can capture the mechanical damage evolution of concrete materials, but their AE characteristics can vary with respect to the storage conditions.

PURPOSES : Pavement growth (PG) of concrete pavement has been recognized as a major concern to highway and airport engineers as well as to road users for many years. PG is caused by the pressure generation in the concrete pavement as a result of a rise of the concrete temperature and moisture. PG could result in concrete pavement blowup and damage the adjacent or the nearby structures such as bridge structures. The amount of the PG is affected by the complicated interactions of numerous factors such as climatic condition, amounts of incompressible particles (IP) infiltration into the joints, pavement structure, and materials. Trigger temperature for pavement growth (TTPG) is defined as the concrete temperature when all transverse cracks or joints within the expansion joints completely close and generating a pressure in the pavement section. It is one of the most critical parameters to evaluate the potential of PG occurring in the pavement. Unfortunately, there are no available methods or guidelines for estimating TTPG. Therefore, this study aims to provide a methodology to predict TTPG of a concrete pavement section. METHODS : In this study, a method to evaluate the TTPG and its influencing factors using the field measured data of concrete pavement expansions is proposed. The data of the concrete pavement expansions obtained from the long-term monitoring of three concrete pavement sections, which are I-70, I-70N, and Md.458, in Maryland of United Stated, were used. The AASHTO equation to estimate the joint movement in concrete pavement was used and modified for the back-calculation of the TTPG value. A series of the analytical and numerical solutions presented in the literatures were utilized to predict the friction coefficient between the concrete slab-base and to estimate the maximum concrete temperature of these three pavement sections. RESULTS : The estimated maximum concrete temperature of these three pavement sections yearly exhibited relatively constant values, which range from 40 to 45 °C. The results of the back-calculation revealed that the TTPG of the I-70 and Md.58 sections decreased with time. However, the TTPG of the I-70N section tended to be relatively constant from the first year of the pavement age. CONCLUSIONS : The estimation of the TTPG for the three concrete pavement sections showed that the values of the TTPG gradually decreased although the yearly maximum concrete pavement temperature did not change significantly.

이상 고수온을 감지하기 위한 생물모니터링 시스템(BMS) 연구를 위해, 4단계의 수온(5, 10, 20와 30℃)에서 참굴 패각운동을 측정하였다. 모든 참굴은 실험시작 전에 3일 동안 절식을 통하여, 먹이섭이 및 배출에 따른 패각운동의 요인을 제거하였다. 5℃ 실험구에서는 패각운동이 관찰되지 않았지만, 수온의 증가와 함께 패각운동은 증가하였다(10℃ : 6.31±2.18 times/hr, 20℃ : 22.0±10.0 times/hr). 30℃에서는 5℃와 같이 패각운동이 전혀 보이지 않았던 실험구와 20℃와 유사한 패각운동이 실험구가 나타났다. 이는 30℃ 이상에서도 20℃와 같은 신진대사를 보이는 개체군이 있었으나, 대부분이 신진대사의 활력의 감소에 기인하여 폐각상태가 지속되는 것으로 나타났다. 따라서 참굴 양식장에 고수온 감지를 위한 참굴 패각운동 BMS를 설치한다면, 경계단계는 빠른 패각운동(약 30.0회/hr 이상)일 때, 심각단계는 수시간 이상 폐각상태일 때, 조기경보(early warning)를 내릴 수 있을 것이다. 따라서 참굴 패각운동을 활용한 BMS는 이상고수온의 조기경보에 대하여 효과적으로 활용이 가능할 것으로 판단된다.

Aims: The objective of this study was to demonstrate the possible use of the psycrhotrophic, acid producing, and non-pathogenic microflora of the target chilled food (e.g. imitation crab sticks, ICSs) as time-temperature integrator-based materials for a quality indicator of the food. Methods and Results: Three strains out of four hundred and twelve psychrotrophic LAB colonies isolated from the ICSs were selected and identified as the genus Weissella (16S rDNA gene sequences), Gram-positive, catalase-negative, acid producing, and not hemolytic. Three prototype TTIs were correspondingly developed. A modified imitation crab medium was used as the bacterial nutrient source. The color change of a particular TTI in response to the experimental static and dynamic temperature conditions well represented the microbial growth and spoilage points of the Pseudomonas spp. and LAB which were justified as the spoilage microorganisms of thirty-three commercial ICSs. Conclusions: The psychrotrophic LAB based TTI is likely to be an effective tool for monitoring ICSs shelf life during storage and distribution. Significance and Impact of the Study: This finding suggests that the indigenous microflora of target food can be considered as potential materials for customizing a new TTI particularly for the target food. The food analog is potentially used as the microbial medium.

이 연구에서는 현장타설 캔틸레버공법(free cantilever method)을 적용한 PSC(prestressed concrete) 교량에 콘크리트의 장기거동을 고려한 시공 중 계측분석 방법을 제안하였다. 콘크리트 박스 거더의 장기 거동에 따른 응력을 확인하기 위해 온도센서와 변형률계를 함께 설치하고 계측된 데이터를 이용하여 크리프계수를 산출하였다. 또한 크리프계수를 적용한 콘크리트 박스 거더의 시공 중 응력을 분석하고 설치된 온도 센서의 변화 데이터를 비교하여 세그먼트 시공에 따른 연직변위를 분석하였다. 연구결과, 교량의 장기 거동을 고려한 FCM 교량의 시공 중 계측은 레이저 변위계나 처짐계를 사용하지 않고 온도와 변위 데이터만을 이용하여 효율적인 분석이 가능한 것으로 나타났다.

A number of plating companies have been exposed to the risk of fire due to unexpected temperature increasing of water in a plating bath. Since the companies are not able to forecast the unexpected temperature increasing of water and most of raw materials in the plating process have low ignition temperature, it is easy to be exposed to the risk of fire. Thus, the companies have to notice the changes immediately to prevent the risk of fire from plating process. Due to this reason, an agile and systematic temperature monitoring system is required for the plating companies. Unfortunately, in case of small size companies, it is hard to purchase a systematic solution and be offered consulting from one of the risk management consulting companies due to an expensive cost. In addition, most of the companies have insufficient research and development (R&D) experts to autonomously develop the risk management solution. In this article, we developed a real time remote temperature monitoring system which is easy to operate with a lower cost. The system is constructed by using Raspberry Pi single board computer and Android application to release an economic issue for the small sized plating manufacturing companies. The derived system is able to monitor the temperature continuously with tracking the temperature in the batch in a short time and transmit a push-alarm to a target-device located in a remoted area when the temperature exceeds a certain hazardous-temperature level. Therefore, the target small plating company achieves a risk management system with a small cost.

흙댐에서의 누수 구역을 판별하기 위해 다채널 연속 온도 모니터링을 수행하고 이를 검증하기 위해 전기비저항 물리탐사를 함께 수행하였다. 일반적으로 댐이나 사면과 같은 인공구조물의 내부는 시간과 위치에 따라 상이한 온도 분포를 갖는 것으로 여겨진다. 이와 같은 분포는 구조물의 안전성을 판단하는 데 매우 중요한 기본 자료로 이용될 수 있으며, 특히 댐 구조물의 경우 과도 침투수나 누수에 의한 위험 대역을 파악할 수 있는 기술로 이용될 수 있다. 그러나 기존의 온도 측정 방식은 대형 구조물의 온도를 연속적으로 동시에 측정할 수 없는 단점을 가지고 있다. 본 연구에서는 이를 극복한 새로운 온도 모니터링 장비를 이용하여 댐의 상부 및 하부에 걸쳐, 여러 지점에서 동시에 온도 분포를 측정하였으며, 실내 시험을 통해 누수 대역이 온도 분포의 이상을 충분히 반영하고 있음을 관측하였다. 또한 대상 댐의 전 구역에 걸쳐 전기비저항 조사를 수행한 결과와 온도 모니터링 자료를 비교 분석하여 누수구역의 판별력을 높일 수 있는 방법을 제시하고자 하였다.

시판되는 효소형 TTI를 이용하여 다양한 온도에서 보관 중인 간 쇠고기의 부패 확인이 가능한지 조사하였다. 쇠고기의 부패 확인 지표로는 volatile basic nitrogen(VBN)을 이용하였다. 실험 온도 4, 10, 15, 20 및 25oC에서 쇠고기가 부패하는데 소요된 시간은 각각 168, 114, 60, 48 및 24시간이었다. 상기 조건에서 쇠고기의 품질변화는 본 실험에 사용한 3 종류의 C-type TTI(C-1, C-4, 및 C-7)의 반응 종말점들과 일치하지 않았다. TTI의 반응을 쇠고기의 품질변화에 일치시키기 위해 C-1 TTI로부터 효소와 기질 성분을 추출하여 Eppendorf tube에서 서로 다른 양으로 혼합하여 변형된 TTI를 구성하였다. 변형된 CM-1 TTI의 반응은 20oC와 25oC에서 쇠고기의 품질변화와 매우 유사하였으나 다른 온도에서는 일치하지 않았다. 변형된 CM-2 TTI의 반응은 15oC에서만 쇠고기의 품질변화와 일치하였다. 따라서 TTI를 특정한 식품의 품질변화 지시계로 사용하기 위해서는 식품의 부패와 TTI 반응에 대한 체계적인 kinetics 연구들이 필요할 것으로 보인다.

Background : Due to changes in climate and cultivation conditions, the growth monitoring is an essential factor in improving crop productivity. With the recent development of image analysis technology incorporating ICT, it has become possible to constantly monitor the crop growth. As a medicinal crop specialized in Gyeongsangbuk-do, Korea, Cnidium officinale Makino was examined for the possibility of growth diagnosis through image analysis for stable production. Methods and Results : The IP camera was installed at 2.5 m height in experiment field. The RGB image of every 06:00 was captured from July 1 to July 30 and used for analysis. The captured images were analyzed using the image analysis tool, Image J. The greeness was estimated by the average value of the green histogram. The canopy size was determined by the color range (red: 0-255, green: mean value-255, blue: 0-255) and was calculated as the ratio of pixels number of the entire image to those of the selected area. The growth temperature during investigation period was measured by Hobo MX2300. High temperature, excess of 28℃, was compared to stress response such as decrement of canopy size. The greeness and the canopy size are respectively represented by the quadratic function greeness = -0.0722GD2 + 6248.9GD – 1e + 08 (GD, growing day; R2 = 0.46) and canopy size = -0.0462GD2 + 3996.7GD – 9e + 07 (R2 = 0.93). From July 11, it began to exceed the growth limit temperature of 28℃, and the canopy size began to decrease from this period. Between the canopy size (C) and the accumulated temperature exceeding 28℃, there was a negative correlation, C = -0.13ATEC + 56.75 (R2 = 0.87) during the decreasing period. Conclusion : Extraction of color information in Cnidium officinale Makino using RGB image should be preceded by standardized setting, but it is considered to be useful tool for analyzing the change of quantitative characteristics over time. In the future, it is necessary to make a comparative study with the actual growth rate in the image diagnosis.

This study sought to find a new diagnostic method. The drain hole temperature and the upstream water temperature change were measured for 1 year. The purpose of this study was to analyze the correlation between the temperature of the drain hole and the upstream temperature.

In this study, in order to survey the concrete dam leakage use the Thermal Line Sensor (TLS) temperature monitoring instruments. The temperature monitoring locations are two drain hole of concrete dam and the upsteam water temperature of dam.

Recently, the event of slope failure has been occurring frequently due to rapid climate changes and broad development of infrastructures, and the research for establishment of monitoring and prevention system has been an attentive issue. The major influence factors of slope failure mechanism can be considered moisture and temperature in soil, and the slope failure can be monitored and predicted through the trend of moisture-temperature change. Therefore, the combined sensing technology for the continuous measurement of moisture-temperature with different soil depths is needed for the slope monitoring system. The various independent sensors for each item (i.e. temperature and moisture respectively) have been developed, however, the research for development of combined sensing system has been hardly carried out. In this study, the high-fidelity sensor combing temperature-moisture measurement by using the minimized current consuming temperature circuit and the microwave emission moisture sensor is developed and applied on the slope failure monitoring system. The feasibility of developed monitoring system is verified by various experimental approaches such as standard performance test, mockup test and long-term field test. As a result, the developed temperature-moisture combined measurement system is verified to be measuring and monitoring the temperature and moisture in soil accurately.

We analyzed diurnal variations in the surface air temperature using the high density urban climate observation network in Daegu metropolitan city, the representative basin-type city in Korea, in summer, 2013. We used a total of 28 air temperature observation points data(16 thermometers and 12 AWSs). From the distribution of monthly average air temperature, air temperature at the center of Daegu was higher than the suburbs. Also, the days of daily minimum air temperature more than or equal to 25℃ and daily maximum air temperature more than or equal to 35℃ at the schools near the center of Daegu was more than those at other schools. This tendency appeared more clearly on the days of daily minimum air temperature more than or equal to 25℃. Also, the air temperature near the center of the city was higher than that of the suburbs in the early morning. Thus it was indicated that the air temperature was hard to decrease as the bottom of the basin. From these results, the influence of urbanization to the formation of the daily minimum temperature in Daegu was indicated.

The FBG sensor responses simultaneously to changes in thermal strain as well as elastic strain. Thus the total strain measured from a single FBG sensor shall be corrected to obtain the elastic strain by removing the temperature effect. This paper addresses how the temperature effect can be removed when the FBG sensor is encapsulated in a 7-wire steel strand. For this purpose, fundamental properties of the FBG sensor are identified through tests using a controlled temperature chamber. Then field measurements on a UHPC pi girder with the size of 11.0 m long, 5.0 m wide, and 0.6 m high have been conducted for about one year, and the prestressing force is estimated using the raw data from the FBG sensor and by applying temperature correction technique proposed in this study. Estimated results indicate that the proposed correction technique is executable for extracting the elastic strain from monitoring data using the FBG sensor in civil infrastructures.

Natural frequency changes of an in-service concrete bridge have been monitored to analyze the dynamic characteristic according to temperature and embedded depth changes. 7 acceleration sensors are attached to the bridge, and 11 time impact experiments have been done using the impact hammer. The natural frequency has a trend to drop as the surface temperature of the body goes up. And it also has a trend to decrease as the embedded depth of the bridge foundation increases.