Process
Control & Industrial Automation
| Don't forget
to select a Process Control & Industrial Automation
specialist with proven experience, industry certifications,
geographic flexibility, technical breadth and depth, and
a commitment to transfer their knowledge to minimize your
risk and dependence. |
- Do you need to control your process with high reliability
and accuracy?
- Do you need to implement PID, fuzzy or neural network
control algorithms?
- Do you need to ensure the safe execution of shutdown procedures
in the absence of monitoring personnel?
Industrial Automation (HMI/SCADA):
- Do you need to automatically update your facility's piping
and instrumentation diagrams with live process data?
- Do you need a professional GUI that mimics your process
for diagnostic purposes and permits intuitive navigation
of your plant?
Process
Control & Industrial Automation is absolutely essential
in process and discrete manufacturing facilities from oil &
gas to chemicals and from nuclear power to robotics.
Advanced Process Control & Industrial Automation systems
are used extensively to consistently measure, archive, and
control process performance characteristics. Discrete and/or
continuous processes that need to operate with a high degree
of reliability must be automated with PC- or PLC-based technologies,
must share process information across the enterprise, and
must integrate with other systems/technologies to streamline
the entire production process.
There are typically five components in modern Process Control
& Industrial Automation applications, often referred to
as Supervisory Control And Data Acquisition (SCADA): sensors/actuators/transducers
(control elements), input/output (I/O) devices, controllers,
graphical human-machine interface (HMI), and a sophisticated
database. In our Process Control & Industrial Automation
consulting and implementation efforts, we carefully analyze
and consider each of these factors in designing the best overall
solution with the lowest TOTAL cost of ownership for our clients.
This technology covers a broad spectrum of solutions from
centralized, small channel count, laboratory scale applications
to globally distributed, high channel count, industrial scale
applications.
Process Control & Industrial Automation for error-free
process operation is a worthy goal, but so much more can be
accomplished. Operations that are truly connected can execute
at optimum efficiencies. Data Science Automation extends the
automation strategy to other process layers such as Information
Technology, Data Management, Manufacturing Execution Systems,
Materials/Enterprise Resource Planning, and Supply Chain Management
solutions.
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