• Journal of Biosystems Engineering
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• 제36권4호
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• pp.279-284
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• 2011

Protected vegetable production area is greater than 26% of the total vegetable production area in Korea, and portion of protected production area is increasing for flowers and fruits. To secure stable productivity and profitability, continuous and intensive monitoring and control of protected crop production environment is critical, which is labor- and time-consuming. Failure to maintain proper environmental conditions (e.g., light, temperature, humidity) leads to significant damage to crop growth and quality, therefore farmers should visit or be present close to the production area. To overcome these problems, application of remote monitoring and control of crop production environment has been increasing. Wireless monitoring and control systems have used CDMA, internet, and smart phone communications. Levels of technology adoption are different for farmers' needs for their cropping systems. In this paper, potential of wireless remote monitoring of protected agricultural environment using CDMA SMS text messages was reported. Monitoring variables were outside weather (precipitation, wind direction and velocity, temperature, and humidity), inside ambient condition (temperature, humidity, $CO_2$ level, and light intensity), irrigation status (irrigation flow rate and pressure), and soil condition (volumetric water content and matric potential). Scenarios and data formats for environment monitoring were devised, tested, and compared. Results of this study would provide useful information for adoption of wireless remote monitoring techniques by farmers.

• Journal of information and communication convergence engineering
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• 제7권4호
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• pp.459-464
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• 2009

This paper presents a production information monitoring system as an infrastructure of CIM system in footwear industry. The system is composed of hardware devices of terminal, communication converter, line controller and software for manufacturing processes. A terminal like a scanner is used for shop floor data input and a line controller is used to link between terminal and server. LAN and RS485 are used for connecting hardware components and deliver their information mutually. In the system, real time production information is acquired from information resources such as group of uppers and soles. The collected production information is delivered to a line controller and analyzed. Server receives information from line controller and machines for production management. Production planning information that is machined in the server is delivered to the shop floor and used for the production management of work in process, and used for improvement of productivity in a footwear production company. The implementation of the developed system shows the effectiveness of the system.

• 산업경영시스템학회지
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• 제29권2호
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• pp.97-103
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• 2006

Recently, the control chart is developed for monitoring processes with normal short production runs by the coefficient of variation(CV) characteristic for a normal distribution. This control chart does not work well in non-normal short production runs. And most of industrial processes are known to follow the non-normal distribution. Therefore, the control chart is required to be developed for monitoring the processes with non-normal short production runs by the CV characteristics for a non-normal distribution. In this paper, we suggest the control chart for monitoring the processes with a gamma short runs by the CV characteristics for a gamma distribution. This control chart is denoted by the gamma CV control chart. Futhermore evaluated the performance of the gamma CV control chart by average run length(ARL).

• 한국IT서비스학회지
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• 제11권sup호
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• pp.75-88
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• 2012

This research aims to propose a ubiquitous integration monitoring system for the feeding and environment management of livestock production. The integration monitoring system proposed in this research is based on an integrated platform, and consists of livestock shed environment monitoring system, livestock monitoring system, livestock remote medical treatment, and feeding and management system. This research conducts the followings. First, we review the previous researches on livestock related ubiquitous monitoring system to examine the factors to be considered in the proposed system. Then, we design the system and implement the prototype to demonstrate the possibility of the application of this system to real stockbreeding environment.

• 한국항행학회논문지
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• 제22권5호
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• pp.485-489
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• 2018

4차 산업혁명의 일부인 스마트공장의 구축을 위해서는 작업 환경 및 생산 기기에 대한 데이터를 수집하여 이를 분석하고 피드백 함으로써 일어날 수 있는 고장이나 부품의 교체 시점 등을 예측하여야 하며, 이를 위해서는 작업 환경 및 생산 기기의 상태를 모니터링하는 시스템이 필요하다. 따라서 본 논문에서는 장거리 저전력 무선 통신 기술인 LoRa를 이용하여 작업 환경 및 생산 기기의 센서 데이터를 수집하여 Mobile과 PC용 모니터링 시스템을 구현하였다. Mobile 기기에서는 실시간으로 생산 환경 및 진동 데이터를 볼 수 있으며, PC 모니터링 프로그램에서는 센서 데이터를 그래프로 표현하여 표준 편차 및 데이터의 변동사항을 확인할 수 있게 프로그램 하였다. 구축된 시스템을 이용하여 생산 환경의 온습도 및 대기압 등의 데이터를 기록하고 생산 기기의 진동 데이터를 수집할 수 있음을 확인하였다

• Journal of Welding and Joining
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• 제20권6호
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• pp.45-45
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• 2002

This study is a middle report on the development of intelligent spot welding monitoring technology applicable to the production line. An intelligent algorithm has been developed to predict the quality of welding in real time. We examined whether it is effective or not through the In-Line and the Off-Line tests. The purpose of the present study is to provide a reliable solution which can prevent welding defects in production site. In this study, the process variables, which were monitored in the primary circuit of the welding, are used to estimate the weld quality by Hidden Markov Model(HMM). The primary dynamic resistance patterns are recognized and the quality is estimated in probability method during the welding. We expect that the algorithm proposed in the present study is feasible to the applied in the production sites for the purpose of in-process real time quality monitoring of spot welding.

• Journal of Welding and Joining
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• 제20권6호
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• pp.769-775
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• 2002

This study is a middle report on the development of intelligent spot welding monitoring technology applicable to the production line. An intelligent algorithm has been developed to predict the quality of welding in real time. We examined whether it is effective or not through the In-Line and the Off-Line tests. The purpose of the present study is to provide a reliable solution which can prevent welding defects in production site. In this study, the process variables, which were monitored in the primary circuit of the welding, are used to estimate the weld quality by Hidden Markov Model(HMM). The primary dynamic resistance patterns are recognized and the quality is estimated in probability method during the welding. We expect that the algorithm proposed in the present study is feasible to the applied in the production sites for the purpose of in-process real time quality monitoring of spot welding.

• 한국정밀공학회지
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• 제22권6호
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• pp.135-143
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• 2005

The shoes process management monitoring system for supporting SCM is developed in this study. This system consists of a monitoring program, a conveyer system, a pneumatic unit, a controller, an USB camera, and a server and a client computer. To operate the developed system easily, the monitoring program using LabVIEW in the Windows environment is developed. This program consists of 5 modules: production management, inventory control, media management, defective management, and communication management. The developed system has several advantages: reduced time for managing process work, decreased labor costs, effective operation, and continuous work without an operator. Nowadays advanced manufacturing companies are trying to find a way to check the performance of their production equipments and plants from remote sites. Thus, to manage the developed system from remote sites, communication network is constructed. In order to evaluate the performance of the monitoring system, experiments were performed. The experimental results showed that the developed system provided a reliable performance and a stable communication.

• 한국항행학회논문지
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• 제23권5호
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• pp.481-486
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• 2019

스마트 팩토리에서는 최적의 생산 환경을 위해 모든 공정 과정의 실시간 모니터링과 분석이 요구된다. 모든 생산과정이 자동으로 이루어질 수 있게 만들기 위해서는 다양한 센서 데이터를 수집하기 위한 모니터링 장치가 필요하다. 이렇게 수집한 데이터들을 저장 및 분석함으로써 기계나 장비에 대한 이상 징후가 있는지를 파악할 수 있다. 따라서 본 논문에서는 스마트 팩토리를 위한 생산 환경 모니터링 시스템과 계측 값 자동 저장시스템을 통합한 통합 모니터링 시스템을 구현 하였다. 계측 값 자동 저장 시스템을 이용하여 어느 장소에서든 계측값의 오기없이 간편하게 신뢰성 있는 검사를 수행할 수 있고, Lora를 이용한 생산 환경 모니터링 시스템을 통해 온도, 습도, 대기압 등 생산 환경을 실시간으로 모니터링 할 수 있다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -2
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• pp.1169-1172
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• 2002

This paper presents the development of an expert system for monitoring and control of an oil production facility. The objectives of developing an expert system for the oil production facility are to monitor the Important processing parameters in different sections of the facilities and to control battery operations in real time. By providing consistent, fast, and reliable decision support to operators, the expert system can be used for automated monitoring and control of a petroleum production facility located south of Regina in Saskatchewan, Canada. The system was implemented in Visual Basic 6.0.