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.

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.

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.

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 examined the strength of wall concrete using insulated molds and non-insulated forms by monitoring the strength of the structure using a wireless sensor network by maturity method. It was confirmed that the temperature and compressive strength of the structures are monitored in real time, along with effective strength control.

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.

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.

Wireless monitoring system was established to measure PPWS(Prefabricated Parallel Wire Strand) temperature under PPWS erection in Ulsan Grand bridge. The applicability of it to bridge construction site was being evaluated. Wireless function was worked very well within 2km long distance. Transferred data was being analyzed.

국내 폐광산지역에서는 과거 광산개발의 영향으로 지반침하 현상이 빈번하게 발생하고 있어 그에 대한 대책으로 지반침하를 예측하는 기법이나 계측방법이 대단히 중요하게 부각되고 있다. 본 연구에서는 하나의 케이블에 여러 개의 온도센서를 장착한 온도센서배열 케이블을 이용한 다점온도모니터링 기법을 지반침하 우려지역 현장에 응용하였다. 온도센서 간격이 50cm인 온도센서배열 케이블이 지반침하 우려지역 주변에 천공된 시추공(심도 약 50m 내외)에 설치되었으며 15분 간격으로 동시에 온도를 계측하였다. 심도-시간경과에 대한 온도차 그래프에서는 지하 암반거동에 의한 온도 이상대를 확인할 수 있었다. 이러한 온도이상대는 수개월 간 간헐적으로 감지되어 처음 이상징후가 나타난 후 약 4개월 후 지표함몰 현상이 발생하였다. 즉, 매질의 유동이나 이동이 온도분포 계측에 의해 쉽게 파악될 수 있다는 것을 확인할 수 있었다. 이러한 연구결과는 다점온도모니터링 기법이 지반침하 예측에 활용될 수 있음은 물론 향후 지반 거동을 감지해야하는 산사태 예측시스템으로도 사용할 수 있을 것으로 판단된다.

파프리카(Capsicum annuum var. angulosum)는 우리나라의 대표적인 수출농산물로서 지속적인 수출확대를 위해서는 안전성 확보가 중요하다. 지금까지 수출과채류의 생물학적 위해요소에 대한 연구는 많이 이루어 지지 않았다. 본 연구는 우리나라의 대표적인 수출 농산물인 파프리카를 대상으로 미생물오염실태를 모니터링하고, 보관온도에 따른 세균오염도 변화를 분석하였다. 파프리카의 평균 총호 기성균 수는 log CFU/g이었으며, 대장균군은