• 대한안전경영과학회지
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• 제24권3호
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• pp.29-37
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• 2022

The development of technology related to the Fourth Industrial Revolution and the growth of the online market due to pandemic are continuing the growth of the logistics market for product delivery. If it is difficult to deliver the product directly to the customer during delivery, storage and delivery using the unmanned courier box are being carried out. However, existing storage boxes are not actively used due to lack of usability even though they have the advantage of storing goods and delivering non-face-to-face. In addition, existing courier boxes are not prepared for cold chain transportation. The unmanned delivery storage device with ICT cold chain technology should be developed to prepare for the transition to non-face-to-face society, to improve logistics efficiency and meet user's requirements. Also, it is necessary to consider the measures to reduce the safety problems that may occur during the use and maintenance of the automatic system. This study conducted a model-based analysis for the development of unmanned delivery storage devices with ICT cold chain technology, and conducted a study to derive the system development specifications that meet the requirements and secure safety and apply them to the development process.

• International journal of advanced smart convergence
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• 제12권3호
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• pp.221-232
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• 2023

Recently, due to the expansion of the logistics industry, demand for logistics automation equipment is increasing. The modern logistics industry is a high-tech industry that combines various technologies. In general, as various technologies are grafted, the complexity of the system increases, and the occurrence rate of defects and failures also increases. As such, it is time for a predictive maintenance model specialized for logistics automation equipment. In this paper, in order to secure the operational reliability of the ICT/Cold-Chain Unmanned Storage, a predictive maintenance system was implemented based on the LSTM model. In this paper, a server for data management, such as collection and monitoring, and an analysis server that notifies the monitoring server through data-based failure and defect analysis are separately distinguished. The predictive maintenance platform presented in this paper works by collecting data and receiving data based on RabbitMQ, loading data in an InMemory method using Redis, and managing snapshot data DB in real time. The predictive maintenance platform can contribute to securing reliability by identifying potential failures and defects that may occur in the operation of the ICT/Cold-Chain Unmanned Storage in the future.

• Journal of Platform Technology
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• 제11권1호
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• pp.60-71
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• 2023

전세계적으로 반려인이 꾸준히 증가하고 있고, 반려동물에 대한 사회적 인식이 '가족'의 일원으로 변하면서 반려동물 산업도 다양한 방식으로 발전 및 성장하고 있다. 반려동물은 건강에 문제가 있어도 표현할 수 없어 질병이 악화하는 경우가 많아 IoT 기술을 활용해 건강 변화를 조기에 확인할 수 있는 펫테크 헬스케어시장도 주목받고 있다. 본 연구에서는 반려동물 헬스케어 시장에 대한 조사 및 선행연구를 분석하여 확대되는 반려동물 헬스케어 시장에 서비스디자인이 이러한 문제 인식을 바탕으로 반려동물 헬스케어 시장에서 중요한 동물 검체 운반 서비스 개발에 관여하여 콜드체인 서비스 시장을 활성화할 수 있고, 향후 확장된 반려동물 헬스케어 시장에서 반려인, 반려동물, 동물병원 등의 다양한 이해 관계자가 모두 만족할 수 있는 솔루션 개발에 방향을 제시하고자 한다.