Data acquisition from machines with legacy system
Contention for leading the market in terms of productivity and quality drives the manufacturing companies to renew itself with new technologies frequently. With the advancement in automation, computer programming and networking, equipping legacy systems with data acquisition and monitoring applic...
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| Format: | Theses and Dissertations |
| Language: | English |
| Published: |
2015
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| Online Access: | http://hdl.handle.net/10356/64835 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Contention for leading the market in terms of productivity and quality drives the
manufacturing companies to renew itself with new technologies frequently. With
the advancement in automation, computer programming and networking, equipping
legacy systems with data acquisition and monitoring applications have been made
possible. Collecting data from machines and using it to monitor machine's states
have the advantage of detecting events happened in shop floor without the need for
manual intervention as data collected manually may contain delayed and inaccurate
information. This machine monitoring system is accomplished by acquiring data
from different machines in shop floor using a network for local communication. In
this project, ServBox, which provides a method for collecting data from many CNC
machines, is used as a local server. The acquired data is pre-processed to suit the
needs of processing at later stages and relationship between various parameters is
analysed so as to formulate a data model for extracting information from the
collected data. This project also discusses about using the extracted information for
developing different monitoring applications. One application is to develop a
system that automatically calculates machine's production efficiency through
Overall Equipment Effectiveness (OEE) technique and monitor the reason behind
idle state of the machines and using the same to identify non-productive activities
(wastes) for the implementation of lean manufacturing. The other application is to
develop a strategy for monitoring tool wear using information obtained from
acquired data. User interface is designed and created to enable operator to view or
update the machine statuses when needed. |
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