Industrial Control Systems and basic SCADA system.pptx
PPT_16-9_Template
1. imc – Measurement and Control Systems
October 21, 2015
Andy Jesudowich
Application Sales and Operations Manager
imc USA
2. • Data logging in the test
and measurement field
• Critical scientific
information is derived
• Many forms of data
logging
The Historical Methods of Data Logging
3. imc Introduces the µ-MUSYCS
• MUlti SYnchronous
Channel System
• Digital fieldbus and
analog signals
synchronously
captured in a
compact housing
4. The Need For Wide Ranges of Signals
• Voltage
• Current
• Thermocouples / RTDs
• Strain / Stress
• Digital Frequencies / Counters
• Current Fed
• Digital Field Bus
• Video
• Digital I/O
• Analog Output
5. Measurement Amplifiers and Conditioners
• Voltages up to 1000V
• Isolation
• Strain / Resistive
Bridges
• Sensor Supply
• Universal
Measurement
6. Software Environment is Critical
• Setup of Channels
• Configuration of
Sensitivities, Sample
Rates, Filters, Data
Transfer
• Visualization / Reporting
Environment
7. The Need For Measurement and Control
• IBM’s introduction of
the 1800 series
• Measurement and
process controller
• A new era of test
and measurement
8. Why is Measurement and Control Important
• Physical engineering sensors
often interact with one another
to derive a relationship of
measurement
• Diverse measurements often
require complex triggering of
events
• Long term measurements
• By utilization of control
mechanisms, the measurement
properties and relationships are
connected
• Control can be synchronously
aligned with triggering of events
• Control ensures long term cycles
such as fatigue analysis are well
defined
Measurement Control
9. Types of Signals Used in Control Environments
• Digital TTL / 24V Logic
• Analog Voltage Outputs
• Digital Fieldbus Messages
• Examples Include:
• CAN Bus
• ECU Protocols
• EtherCAT Master / Slave
10. Measurement + Control = Automation
• An embedded part of
a measurement and
control system
• Allows synchronized
serial and parallel
actions
• Real time capable
process control
11. How Does Automation Work?
• Automation has been achieved by various means
including mechanical, hydraulic, pneumatic, electrical,
electronic devices and computers, usually in combination
• Discrete Control
• Continuous Control
• Open and Closed Loop
• System State Based Control
12. Discrete Control
• Simplest form of
control
• On/Off logic
• Often controlled
with digital 0-1 logic
Measurement system
13. Continuous Control
• Utilizing a sensor and
the feedback from the
sensor to make
continuous
adjustments to a set
point or variable that
has been declared
14. Open and Closed Loop
• Elements constituting the
measurement and control of a
single variable are called a
control loop
• Control that uses sensor
signals as the feedback
mechanism to adjust the
setpoint or variable of a
measured value – referred to
as closed loop
Input Process Output
Open Feedback System
Process Output
Feedback
Closed-Loop Feedback System
15. State Based Control
• State based control procedures
may be either set to a fixed
sequence or to a logical one
that will perform different
actions depending on various
system states and conditions
• States refer to the array of
conditions that can occur in a
use or sequence/state scenario
of the system
16. imc measurement and control system
capabilities
• Measurement capabilities for mixed signal testing of complex
mechanical or electromechanical systems
• Full product line of measurement and control solutions tailored to the
application requirements
17. imc Automation
• Graphics-based development environment
• State-based definition of automation steps and test routines
• Easy configuration by means of drag & drop and plain text notation
• Completely deterministic reaction times when running on real-time capable imc
hardware
• Cycle time as low as 0.1 ms
• Versatile functionality: from simple signal output to logic-based open-loop
control all the way to complex, multi-variable closed-loop control
• Parallel synchronous and/or asynchronous measurements and automation tasks
• Real-time monitoring of value limits and alarm conditions
18. imc Automation Advantages
• No reliance on the test PC –
automation logic is compiled into
the measurement and control
system
• No complex programming
language or code to write
• the Drag & Drop technique, linked
to such actions as setting of a
digital output, opening of a
particular dialog page, navigating
through an output signal, or
creating a ramp slope function on
a voltage output, etc.
