작물 수분스트레스 지수(CWSI; Crop Water Stress Index)를 통해 관개 시기를 판단할 경우, 정확한 잎의 온도 및 대기 환경을 측정하는 것이 중요하다. 그리하여 본 연구에서는 실시간으로 작물의 생체정보(엽온) 및 대기 환경(대기온·습도, 일사량)을 측정하고 자동으로 CWSI 값이 산정되는 휴대용 수분스트레스 계측기기를 개발하였다. 또한 휴대용 수분스트레스 계측기기와 고정식 온도 측정 방법과의 비교 분석을 통해 휴대용 수분스트레스 계측기기의 성능을 평가하고자 하였다. 본 계측기기는 CWSI 산정을 위한 생체신호 및 기상 데이터를 측정하는 센싱부, 측정된 데이터를 저장하고 CWSI를 산정하는 데이터 수집부, 장치의 기능을 조작하고 측정값을 표시하는 시스템 제어부로 구성하였다. T-test를 실시하여 두 계측 방법에서 측정된 엽온, 일사량, CWSI 평균값의 유의 관계를 분석한 결과, 유의확률은 0.089, 0.318 그리고 0.028로 각각 나타났다. 엽온과 일사량은 유의수준 0.05보다 크므로 유의미한 차이가 나타나지 않았지만 CWSI는 유의확률이 유의수준보다 작으므로 두 측정 방법에 따라 유의미한 차이가 나타났다.

In order to increase the production efficiency of the ship and shorten the production cycle, it is important to evaluate the accuracy of the ship components efficiently during the drying cycle. The accuracy control of the block is important for shortening the ship process, reducing the cost, and improving the accuracy of the ship. Some systems have been developed and used mainly in large shipyards, but in some cases, they are measured and managed using conventional measuring instruments such as tape measure and beam, optical instruments as optical equipment, In order to perform accuracy control, these tools and equipment as well as equipment for recording measurement data and paper drawings for measuring the measurement position are inevitably combined. The measured results are managed by the accuracy control system through manual input or recording device. In this case, the measurement result is influenced by the work environment and the skill level of the worker. Also, in the measurement result management side, there are a human error about the lack of the measurement result creation, the lack of the management sheet management, And costs are lost in terms of efficiency due to consumption. The purpose of this study is to improve the working environment in the existing accuracy management process by using the augmented reality technology to visualize the measurement information on the actual block and to obtain the measurement information And a smart management system based on augmented reality that can effectively manage the accuracy management data through interworking with measurement equipment. We confirmed the applicability of the proposed system to the accuracy control through the prototype implementation.