Distributed Management, Monitoring and Control of Manufacturing Shop Floors

2003 ◽  
Author(s):  
Weiming Shen ◽  
Lihui Wang ◽  
Sherman Lang ◽  
Brian Wong ◽  
Qi Hao
Keyword(s):  
Intelligent Manufacturing ◽  
Distributed Artificial Intelligence ◽  
Shop Floor ◽  
Monitoring And Control ◽  
Web Based ◽  
Distributed Management ◽  
Collaborative Environment ◽  
Manufacturing Process Planning ◽  
New Concepts ◽  
And Control

This paper presents some results of our research on distributed management, monitoring and control of manufacturing shop floors using the Internet, Web and agent technologies. Two new concepts are proposed and developed: iShopFloor on the application of Distributed Artificial Intelligence to the shop floor for distributed intelligent manufacturing process planning, scheduling, sensing and control; eShopFloor on the development of a Web based collaborative environment for remote monitoring, control, diagnostics and maintenance of manufacturing devices (e.g., machines, robots) in the shop floor. Prototype implementation details are presented and key implementation issues are discussed.

Wise-ShopFloor: A Web-Based and Sensor-Driven e-Shop Floor*

2004 ◽  
Vol 4 (1) ◽  
pp. 56-60 ◽  
Author(s):  
Lihui Wang ◽  
Weiming Shen ◽  
Sherman Lang
Keyword(s):  
3D Models ◽  
Shop Floor ◽  
Prototype System ◽  
Monitoring And Control ◽  
Java 3D ◽  
Web Based ◽  
Sensor Signals ◽  
And Control ◽  
Manufacturing Environments ◽  
New Framework

Targeting the remote monitoring and control of shop floors, this paper proposes a new framework called Wise-ShopFloor (W¯ebbasedi¯ntegrateds¯ensor-drivene-ShopFloor¯) that can be applied to distributed manufacturing environments. It utilizes the latest Java technologies (Java 3D and Java Servlet) for system implementation. This Web-based framework allows users to monitor and control a distant shop floor device with visual helps enabled by Java 3D models instead of camera images. The behavior of a 3D model is driven by sensor signals of its physical counterpart. A prototype system is developed to demonstrate its application on shop floor monitoring and control.

Web Based Monitoring and Control of Distant Robotic Operations

2012 ◽  
Author(s):  
Magnus Holm ◽  
Mohammad Givehchi ◽  
Abdullah Mohammed ◽  
Lihui Wang
Keyword(s):  
Production Efficiency ◽  
Dynamic Control ◽  
Shop Floor ◽  
Monitoring And Control ◽  
Integrated Sensor ◽  
Web Based ◽  
Adaptive Capabilities ◽  
Opc Technology ◽  
And Control ◽  
Time Information

In order to improve the production efficiency while facing today’s manufacturing uncertainty, responsive and adaptive capabilities for rapid production changes are essential. This paper presents how dynamic control and real-time monitoring (embedded in a web-based Wise-ShopFloor framework) can integrate virtual models with real shop floors. Wise-ShopFloor (Web-based integrated sensor-driven e-ShopFloor) uses Java technologies (e.g., Java Servlet and Java3D) for implementing the system. It allows the operators, both remote and on-site, to monitor and control machines, devices and operations on a shop floor, based on run-time information from the connected machines, devices and their sensors. Two case studies are presented to demonstrate the approach towards web-based adaptive manufacturing. The first demonstrating how OPC-technology is used to improve the monitoring and control capabilities of the production and the second one focusing on remote control of a robot eliminating the need of motion planning and tedious robot programming.

Web-based system in mechatronics learning: Views of undergraduate engineering students

2014 ◽  
Vol 51 (4) ◽  
pp. 318-329 ◽  
Author(s):  
Wen-Jye Shyr ◽  
Chia-Ming Lin
Keyword(s):  
Student Perceptions ◽  
Engineering Students ◽  
Grade Point Averages ◽  
Monitoring And Control ◽  
Web Based ◽  
Grade Point ◽  
Final Grade ◽  
Implementation Period ◽  
And Control ◽  
Web Based System

This work concerns a Web-based system for learning some principles and methods in a mechatronics system that can be accessed remotely over the Internet, at any time and from any location. The investigation involves a case study to illustrate a manufacturing process and evaluate the remote experimental procedure. The main aim reported here is to determine students’ perceptions towards Web-based versus traditional experiments and identify any differences in final grade point averages. The experiment was performed at National Changhua University of Education, Taiwan, with an implementation period covering six semesters and a total of 226 students divided randomly into ‘traditional’ and ‘Web-based’ groups. The Web-based system helped students understand the concepts and master the technologies associated with Web-based mechatronic monitoring and control. Four out of six semesters surveyed recorded statistically significant differences between student perceptions of traditional and Web-based experimentation.

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