Integrated Monitoring System of Production Processes

Author:

Oborski Przemysław

Abstract

Abstract Integrated monitoring system for discrete manufacturing processes is presented in the paper. The multilayer hardware and software reference model was developed. Original research are an answer for industry needs of the integration of information flow in production process. Reference model corresponds with proposed data model based on multilayer data tree allowing to describe orders, products, processes and save monitoring data. Elaborated models were implemented in the integrated monitoring system demonstrator developed in the project. It was built on the base of multiagent technology to assure high flexibility and openness on applying intelligent algorithms for data processing. Currently on the base of achieved experience an application integrated monitoring system for real production system is developed. In the article the main problems of monitoring integration are presented, including specificity of discrete production, data processing and future application of Cyber-Physical-Systems. Development of manufacturing systems is based more and more on taking an advantage of applying intelligent solutions into machine and production process control and monitoring. Connection of technical systems, machine tools and manufacturing processes monitoring with advanced information processing seems to be one of the most important areas of near future development. It will play important role in efficient operation and competitiveness of the whole production system. It is also important area of applying in the future Cyber-Physical-Systems that can radically improve functionally of monitoring systems and reduce the cost of its implementation.

Publisher

Walter de Gruyter GmbH

Subject

Management of Technology and Innovation,Industrial and Manufacturing Engineering,Organizational Behavior and Human Resource Management,Management Science and Operations Research,Business and International Management

Reference15 articles.

1. Global production networks labour and development;Coe;Geoforum,2013

2. Cyber - physical systems Milestones and research challenges Computer;Park;Communications,2012

3. Advanced monitoring of machining operations;Teti;CIRP Annals Manufacturing Technology,2010

4. Man - machine interactions in advanced manufacturing systems The of Manufacturing;Oborski;International Journal Advanced Technology,2004

5. Integration of process monitoring and inspection based on agents and manufacturing features Proceedings of the th International Conference on Computer Supported Cooperative Work in Design pp;Liu;IEEE,2014

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Real-time tool breakage monitoring based on dimensionless indicators under time-varying cutting conditions;Robotics and Computer-Integrated Manufacturing;2023-06

2. An OSGi-based production process monitoring system for SMEs;IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society;2022-10-17

3. Surveying the sense of urgency of the tactical-level management to adopt Industry 4.0 technologies: Ranking of three sister plants based on BWM-CRITIC-TOPSIS;Journal of Industrial Engineering and Management;2022-03-09

4. Intelligent Visual Quality Control System Based on Convolutional Neural Networks for Holonic Shop Floor Control of Industry 4.0 Manufacturing Systems;Advances in Science and Technology Research Journal;2022-03-01

5. Implementation Of Modul box For Production Monitoring System;2021 3rd International Symposium on Material and Electrical Engineering Conference (ISMEE);2021-11-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3