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Industrial Automation

  • Offset & Roller Printing
  • Human Machine Interface
  • Semiconductor Fabrication
  • Sensor Data Acquisition
  • Robotic Assembly Lines
  • Consumer Packaged Goods
  • Optical Measurements
  • Production Test Systems
  • Process & Control Systems
  • Mining, Energy & Timber

Computing Power Drives Automation
Every industry depends on automation to achieve their quality, reliability and productivity objectives. From the manufacture of automobiles or semiconductors to the extraction and processing of natural resources, automation systems have progressed beyond Programmable Logic Controllers (PLCs) and Supervisory Control and Data Acquisition (SCADA) systems to include advanced robotics, seismic studies and machine vision systems. Computing power and reliability have never been more important.

Data Acqusition and Analysis is Critical
Industrial grade computers, such as those designed by Trenton, when combined with advanced process control software, have assumed the role of automation supervisor. Recent increases in computational and storage capability have also allowed for the creation of computing platforms capable of recording and analyzing terabytes of raw data, resulting in continued increases to process efficiency, quality and productivity.

Industrial Networks Thrive
Configured with a variety of analog and digital data acquisition cards, these embedded computing platforms provide links to sensors and monitors throughout the factory floor and within processing facilities. The continued transition to industrial Internet Protocol (IP) networks which incorporate human machine interfaces (HMI) has led to expanded capabilities and increased reliability.

With a full line of COTS hardware solutions, from single board computers, backplanes, embedded motherboards and configured computer systems, Trenton remains a leader in creating rugged, long-life solutions which address the demanding needs of factory automation environments.

Trenton Industrial Automation - Wafer Processing Wafer Processing Machine - Case Study