• Title/Summary/Keyword: IoT 장비

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A Design of Temperature Management System for Preventing High Temperature Failures on Mobility Dedicated Storage (모빌리티 전용 저장장치의 고온 고장 방지를 위한 온도 관리 시스템 설계)

  • Hyun-Seob Lee
    • Journal of Internet of Things and Convergence
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    • v.10 no.2
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    • pp.125-130
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    • 2024
  • With the rapid growth of mobility technology, the industrial sector is demanding storage devices that can reliably process data from various equipment and sensors in vehicles. NAND flash memory is being utilized as a storage device in mobility environments because it has the advantages of low power and fast data processing speed as well as strong external shock resistance. However, flash memory is characterized by data corruption due to long-term exposure to high temperatures. Therefore, a dedicated system for temperature management is required in mobility environments where high temperature exposure due to weather or external heat sources such as solar radiation is frequent. This paper designs a dedicated temperature management system for managing storage device temperature in a mobility environment. The designed temperature management system is a hybrid of traditional air cooling and water cooling technologies. The cooling method is designed to operate adaptively according to the temperature of the storage device, and it is designed not to operate when the temperature step is low to improve energy efficiency. Finally, experiments were conducted to analyze the temperature difference between each cooling method and different heat dissipation materials, proving that the temperature management policy is effective in maintaining performance.

A Study on Application of Smart Construction Safety Technology into Railway Construction (철도건설공사에 적합한 스마트 건설안전기술 적용방안에 대한 연구)

  • Sungwon Jung;Taekeun Oh
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.1
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    • pp.483-488
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    • 2024
  • Railroad construction requires a lot of budget, manpower, and equipment, and as a result, many accidents occur. Although efforts are being made at the national level to reduce the accidents at railway construction sites, the occupational accident rate is not showing a downward trend. Various efforts are needed to reduce accidents, the application of smart construction safety technology will be effective. However, if smart construction safety technology is introduced indiscriminately without analysis, duplicate investment may occur, which may lead to a waste of budget for railway construction. In this regard, this study analyzes accident cases at railroad construction sites through a survey of stakeholders and proposes smart construction safety technologies to be effective for those accident types.

Image Processing System based on Deep Learning for Safety of Heat Treatment Equipment (열처리 장비의 Safety를 위한 딥러닝 기반 영상처리 시스템)

  • Lee, Jeong-Hoon;Lee, Ro-Woon;Hong, Seung-Taek;Kim, Young-Gon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.6
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    • pp.77-83
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    • 2020
  • The heat treatment facility is in a situation where the scope of application of the remote IOT system is expanding due to the harsh environment caused by high heat and long working hours among the root industries. In this heat treatment process environment, the IOT middleware is required to play a pivotal role in interpreting, managing and controlling data information of IoT devices (sensors, etc.). Until now, the system controlled by the heat treatment remotely was operated with the command of the operator's batch system without overall monitoring of the site situation. However, for the safety and precise control of the heat treatment facility, it is necessary to control various sensors and recognize the surrounding work environment. As a solution to this, the heat treatment safety support system presented in this paper proposes a support system that can detect the access of the work manpower to the heat treatment furnace through thermal image detection and operate safely when ordering work from a remote location. In addition, an OPEN CV-based deterioration analysis system using DNN deep learning network was constructed for faster and more accurate recognition than general fixed hot spot monitoring-based thermal image analysis. Through this, we would like to propose a system that can be used universally in the heat treatment environment and support the safety management specialized in the heat treatment industry.

Optimal Operational Plan of AGV and AMR in Fulfillment Centers using Simulation (시뮬레이션 기반 풀필먼트센터 최적 AGV 및 AMR 운영 계획 수립)

  • JunHyuk Choi;KwangSup Shin
    • The Journal of Bigdata
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    • v.6 no.2
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    • pp.17-28
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    • 2021
  • Current development of technologies related to 4th industrial revolution and the pandemic of COVID-19 lead the rapid expansion of e-marketplace. The level of competition among several companies gets increased by introducing different strategies. To cope with the current change in the market and satisfy the customers who request the better delivery service, the new concept, fulfillment, has been introduced. It makes the leadtime of process from order picking to delivery reduced and the efficiency improved. Still, the efficiency of operation in fulfillment centers constrains the service level of the entire delivery process. In order to solve this problem, several different approaches for demand forecasting and coordinating supplies using Bigdata, IoT and AI, which there exists the trivial limitations. Because it requires the most lead time for operation and leads the inefficiency the process from picking to packing the ordered items, the logistics service providers should try to automate this procedure. In this research, it has been proposed to develop the efficient plans to automate the process to move the ordered items from the location where it stores to stage for packing using AGV and AMR. The efficiency of automated devices depends on the number of items and total number of devices based on the demand. Therefore, the result of simulation based on several different scenarios has been analyzed. From the result of simulation, it is possible to identify the several factors which should be concerned for introducing the automated devices in the fulfillment centers. Also, it can be referred to make the optimal decisions based on the efficiency metrics.

Experimental Study of Wireless Communication System by Surface wave Communication through Confined Spaces on Vessels (선박 밀폐 공간 무선통신 구현을 위한 표면파 통신의 선박 활용 연구)

  • Jin-Woo Kong;Suk-Gun Song;Hak-Sun Kim;Bu-Young Kim;Woo-Seong Shim
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2021.11a
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    • pp.127-128
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    • 2021
  • This study suggests surface wave communication, which uses a metal surface as a medium, to provide wireless communication in the extreme environment due to surrounding metal materials on vessels. The test was conducted on a G/T 265 tons tug boat, and to confirm the possibility of surface wave communication between a bridge and each designated space in the boat. As a result, the transmission speed was 13Mbps in average. For the test case between the bridge and the engine room, transmission speed was 4.3Mbps while the engine was on, and 1.2Mbps during sailing. It was able to be overcome by partially changing the equipment installation location. Surface wave communication in a bow storage, a fully enclosed space, had 8Mbps better transmission speed than wireless communication; this confirmed the superiority of surface wave communication in confined spaces on a vessel. Additional surface wave generators were designed and applied to resolve the paint issue. It is expected to apply surface wave communication to implement the new wireless solution on vessels.

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A Study on Efficient Access Point Installation Based on Fixed Radio Wave Radius for WSN Configuration at Subway Station (지하철 역사 내 WSN 환경구축을 위한 고정 전파범위 기반의 효율적인 AP설치에 관한 연구)

  • An, Taeki;Ahn, Chihyung;Lee, Youngseok;Nam, Myungwoo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.7
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    • pp.740-748
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    • 2016
  • IT and communication technologies has contributed significantly to the convenience of passengers and the financial management of stations in accordance with the task automation in the field of the urban railway system. The foundation of the above development is based on the large amounts of data from various sensors installed in railways, trains, and stations. In particular, the sensor network that is installed in the station and train has played an important role in the railway information system. The performance of AP is affected by the number of APs and their locations installed in the station. In the installation of APs in stations, the intensity of the radio wave of the AP on its underlying position is considered to determine the number and position of APs. This paper proposes a method to estimate the number of APs and their position based on the structure of the underlying station and implemented a simulator to simulate the performance of the proposed method. The implemented simulator was applied to the decision of AP installation at Busan Seomyeon station to evaluate its performance.

Journal of Knowledge Information Technology and Systems (스마트축사 활용 가상센서 기술 설계 및 구현)

  • Hyun Jun Kim;Park Man Bok;Meong Hun Lee
    • Smart Media Journal
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    • v.12 no.10
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    • pp.55-62
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    • 2023
  • Innovation and change are occurring rapidly in the agriculture and livestock industry, and new technologies such as smart bams are being introduced, and data that can be used to control equipment is being collected by utilizing various sensors. However, there are various challenges in the operation of bams, and virtual sensor technology is needed to solve these challenges. In this paper, we define various data items and sensor data types used in livestock farms, study cases that utilize virtual sensors in other fields, and implement and design a virtual sensor system for the final smart livestock farm. MBE and EVRMSE were used to evaluate the finalized system and analyze performance indicators. As a result of collecting and managing data using virtual sensors, there was no obvious difference in data values from physical sensors, showing satisfactory results. By utilizing the virtual sensor system in smart livestock farms, innovation and efficiency improvement can be expected in various areas such as livestock operation and livestock health status monitoring. This paper proposes an innovative method of data collection and management by utilizing virtual sensor technology in the field of smart livestock, and has obtained important results in verifying its performance. As a future research task, we would like to explore the connection of digital livestock using virtual sensors.