• Title/Summary/Keyword: Cloud Manufacturing

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Efficient point cloud data processing in shipbuilding: Reformative component extraction method and registration method

  • Sun, Jingyu;Hiekata, Kazuo;Yamato, Hiroyuki;Nakagaki, Norito;Sugawara, Akiyoshi
    • Journal of Computational Design and Engineering
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    • v.1 no.3
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    • pp.202-212
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    • 2014
  • To survive in the current shipbuilding industry, it is of vital importance for shipyards to have the ship components' accuracy evaluated efficiently during most of the manufacturing steps. Evaluating components' accuracy by comparing each component's point cloud data scanned by laser scanners and the ship's design data formatted in CAD cannot be processed efficiently when (1) extract components from point cloud data include irregular obstacles endogenously, or when (2) registration of the two data sets have no clear direction setting. This paper presents reformative point cloud data processing methods to solve these problems. K-d tree construction of the point cloud data fastens a neighbor searching of each point. Region growing method performed on the neighbor points of the seed point extracts the continuous part of the component, while curved surface fitting and B-spline curved line fitting at the edge of the continuous part recognize the neighbor domains of the same component divided by obstacles' shadows. The ICP (Iterative Closest Point) algorithm conducts a registration of the two sets of data after the proper registration's direction is decided by principal component analysis. By experiments conducted at the shipyard, 200 curved shell plates are extracted from the scanned point cloud data, and registrations are conducted between them and the designed CAD data using the proposed methods for an accuracy evaluation. Results show that the methods proposed in this paper support the accuracy evaluation targeted point cloud data processing efficiently in practice.

The Installation of Royal Kilns in Joseon Dynasty and Its Impact on Local Kilns (음각운문청자의 제작현황으로 본 조선시대 관요의 설치와 지방 가마)

  • Oh, Young-In
    • Korean Journal of Heritage: History & Science
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    • v.50 no.4
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    • pp.38-63
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    • 2017
  • This study sets out to investigate the installation of royal kilns and its impact on local kilns, taking note of celadon vase with inlaid cloud pattern in Joseon Dynasty. For that purpose, it determined the kilns and period to produce celadon vases with inlaid cloud pattern, and compared them with the pattern, design, and deformity of the celadon vases produced in the royal kilns in the 15th centuries. The celadon vase with inlaid cloud pattern was superior in quality than the porcelain for tribute ware manufactured together in Jeolla Province before the installation of royal kilns. And then a majority of sagijangs at local kiln had difficult time securing enough supply of manpower and resources, and discontinued manufacturing the celadon vase with inlaid cloud pattern. En revanche, celadon vases with inlaid cloud pattern produced from specially fixed royal kilns reflected the local sagijang's skill. Local kilns were strongly influenced by the installation of royal kilns. Those could not freely use high-quality white clay, limited to the market. Besides, most of the skillful sagijangs were assigned to royal kilns. Celadon vases with inlaid cloud pattern can be used as evidence to show that the manufacturing technique was transferred from local kilns to the royal kilns as well as to show that their production in royal kilns soon became stabilized.

A Study on Factors Affecting a User's Behavioral Intention to Use Cloud Service for Each Industry (클라우드 서비스의 산업별 이용의도에 미치는 영향요인에 관한 연구)

  • Kwang-Kyu Seo
    • Journal of Service Research and Studies
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    • v.10 no.4
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    • pp.57-70
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    • 2020
  • Globally, cloud service is a core infrastructure that improves industrial productivity and accelerates innovation through convergence and integration with various industries, and it is expected to continuously expand the market size and spread to all industries. In particular, due to the global pandemic caused by COVID-19, the introduction of cloud services was an opportunity to be recognized as a core infrastructure to cope with the untact era. However, it is still at the preliminary stage for market expansion of cloud service in Korea. This paper aims to empirically analyze how cloud services can be accepted by users by each industry through extended Technology Acceptance Model(TAM), and what factors influence the acceptance and avoidance of cloud services to users. For this purpose, the impact and factors on the acceptance intention of cloud services were analyzed through the hypothesis test through the proposed extended technology acceptance model. The industrial sector selected four industrial sectors of education, finance, manufacturing and health care and derived factors by examining the parameters of TAM, key characteristics of the cloud and other factors. As a result of the empirical analysis, differences were found in the factors that influence the intention to accept cloud services for each of the four industry sectors, which means that there is a difference in perception of the introduction or use of cloud services by industry sector. Eventually it is expected that this study will not only help to understand the intention of using cloud services by industry, but also help cloud service providers expand and provide cloud services to each industry.

Research of fast point cloud registration method in construction error analysis of hull blocks

  • Wang, Ji;Huo, Shilin;Liu, Yujun;Li, Rui;Liu, Zhongchi
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.12 no.1
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    • pp.605-616
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    • 2020
  • The construction quality control of hull blocks is of great significance for shipbuilding. The total station device is predominantly employed in traditional applications, but suffers from long measurement time, high labor intensity and scarcity of data points. In this paper, the Terrestrial Laser Scanning (TLS) device is utilized to obtain an efficient and accurate comprehensive construction information of hull blocks. To address the registration problem which is the most important issue in comparing the measurement point cloud and the design model, an automatic registration approach is presented. Furthermore, to compare the data acquired by TLS device and sparse point sets obtained by total station device, a method for key point extraction is introduced. Experimental results indicate that the proposed approach is fast and accurate, and that applying TLS to control the construction quality of hull blocks is reliable and feasible.

Business Intelligence System for Manufacturing Production Information System (제조생산 정보화 시스템을 위한 BI 시스템)

  • Chun, Byung-Tae
    • Journal of Digital Convergence
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    • v.10 no.2
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    • pp.231-235
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    • 2012
  • Manufacturing Information System is a information system which supports the activities such as production planning, workflow management, work stage control. Manufacturing fields are showing new properties in today such as digital information, globalization, integration, to make sophisticated production. In this paper, we descibe major issues in current systems. Eventually, we propose major factors to adapt for new changes and BI systems to support manufacturing production information system based on the major factors.

Review of Social Manufacturing Technology on Product Life Cycle Management(PLM) Base (제품수명주기관리(PLM) 기반의 소셜매뉴팩처링 기술 고찰)

  • Park, Jong-Man;Kim, Bong-Sun
    • Journal of Korean Institute of Industrial Engineers
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    • v.39 no.3
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    • pp.156-162
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    • 2013
  • Social manufacturing architecture is based on information delivery through social media and SNS, PLM and social platform, crowd source and knowledge base on whole phase of product life cycle. Although advanced social manufacturing issues are rising globally, its technology emerging into domestic industry is likely to be slow. We focused to review technological changes and R&D trend, patent issues, and then suggest assignments and advices to be practiced for social manufacturing modeling.

Effects of Cloud Point of Non-ionic Surfactant on Deinking Efficiency of ONP at High Blending Ratio of OMG (비이온성 계면활성제의 운점이 OMG 배합비가 증가된 폐 신문지 탈묵효율에 미치는 영향)

  • Lee, Tai Ju;Seo, Jin Ho;Ryu, Jeong Yong
    • Journal of Korea Technical Association of The Pulp and Paper Industry
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    • v.47 no.6
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    • pp.164-169
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    • 2015
  • Nowadays blending ratio of OMG (old magazine) in recovered paper used for manufacturing newspaper have been increased. When large amount of OMG is consumed in newsprint mill, brightness can be improved by inorganic pigments of coating layer. On the other hand decrease in yield of deinking process will be encountered because the pigments can be removed as reject of froth flotation process. Therefore selection of the optimal deinking agent is an important. Non-ionic surfactant have been used widely in newsprint mill. Non-ionic surfactant has amphoteric characteristics. Hydrophilic group is ethylene and propylene oxide that can induce hydrogen bonding with water molecules. In this regard, cloud point is an important parameter in order to control efficiency of deinking process because hydration of the hydrophobic group can be varied according to temperature of a system. In this study, deinking properties of ONP at high blending ratio of OMG was analyzed according to cloud points of non-ionic surfactants. $L^*$, $a^*$, $b^*$, brightness and effective residual ink concentration did not affected by the change of cloud points. Especially, flotation reject decreased significantly according to increase in cloud point of the non-ionic surfactant. Consequently, when a nonionic surfactant having a cloud point higher than the temperature of the system is used, properties of the deinked pulp can be maintained and yield of deinking process can be improved.

Convergence Research for Implementing NC Postprocessor Based Cloud Computing (클라우드컴퓨팅 기반의 NC포스트프로세서 구축을 위한 융합 연구)

  • Ryu, Gab-Sang
    • Journal of the Korea Convergence Society
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    • v.7 no.1
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    • pp.17-23
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    • 2016
  • In this paper, we describe a case of utilizing SaaS technology to build NC Post-processor(WBS) based cloud computing. Developed WPS system was implemented to provide stable and continuous system service by utilizing SCoD methodology. WPS is designed user interface module and control engine module. The interface module is downloaded in a client PC and the control engine is installed in cloud parm area. These modules are connected with computer network. WPS was completed a function test for sheet cutting field and mold manufacturing field, and it is processing a commercial service using with improve the user's convenience and adding a bill charge module.

Analysis of the Damaged Range Caused by LPG Leakage and Vapor Clouds Considering the Cold Air Flow (찬공기 흐름을 고려한 LPG 누출 및 증기운에 의한 피해 영향 범위 분석)

  • Gu, Yun-Jeong;Song, Bonggeun;Lee, Wonhee;Song, Byunghun;Shin, Junho
    • Journal of the Korean Institute of Gas
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    • v.26 no.4
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    • pp.27-35
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    • 2022
  • When LPG leaks from the storage tank, the gas try to sink to the ground because LPG is heavier than air. The gas easily creates vapor clouds causing aggressive accidents in no airflow. Therefore, It is important to prevent in advance by analyzing the damaged range caused from LPG leakage and vapor clouds. So, this study analyzed the range of damaged by LPG leakage and vapor clouds with consideration of the cold air flow which is generated by the topographical characteristics and the land use status at night time in the Jeju Hagari. As a result of the cold air flow using KLAM_21, about 2 m/s of cold air was introduced in from the southeast due to the influence of the terrain. The range of damaged by LPG leakage and vapor cloud was analyzed using ALOHA. When the leak hole size is 10 cm at the wind speed of 2 m/s, the range corresponding to LEL 60 % (12,600 ppm) was 61 m which range is expected to influence in nearby residential areas. These results of this study can be used as basic data to prepare preventive measures of accidents caused by vapor cloud. Forward, it is necessary to apply CFD modeling such as FLACS to check the vapor cloud formation due to LPG leakage in a relatively narrow area and to check the cause analysis.

Development of An Inspection Method for Defect Detection on the Surface of Automotive Parts (자동차 부품 형상 결함 탐지를 위한 측정 방법 개발)

  • Park, Hong-Seok;Tuladhar, Upendra Mani;Shin, Seung-Cheol
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.22 no.3
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    • pp.452-458
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    • 2013
  • Over the past several years, many studies have been carried out in the field of 3D data inspection systems. Several attempts have been made to improve the quality of manufactured parts. The introduction of laser sensors for inspection has made it possible to acquire data at a remarkably high speed. In this paper, a robust inspection technique for detecting defects in 3D pressed parts using laser-scanned data is proposed. Point cloud data are segmented for the extraction of features. These segmented features are used for shape matching during the localization process. An iterative closest point (ICP) algorithm is used for the localization of the scanned model and CAD model. To achieve a higher accuracy rate, the ICP algorithm is modified and then used for matching. To enhance the speed of the matching process, aKd-tree algorithm is used. Then, the deviation of the scanned points from the CAD model is computed.