Industry 4.0

Dyna IDCS

DYNA-IDCS : Intelligent Distributed Control Training System

  • Intelligent Industrial controller mounted on ESD protective
    Workbench
  •  On-board 24V 6A Power-Supply
  •  I/O Signals brought out on breakout panels for interfacing
  • PLC Programming IEC-61131-3 standards with KW-Multiprog
  • Provision for Industry standard DIN-rail mounted units
  •  Examples for PLC Programming & LabVIEW based Experiments
    Included.
  •  Ergonomic Design with Ease of Interfacing
idcs

Dyna PLC

DYNA-PLC : Programmable Logic Controller

  •  DYNA-PLC Applications trainer with Conveyor belt having forward & reverse directions.
  •  Three Pneumatically Controlled Pistons, for pushing parts off the conveyor.
  • Two sets of infra-red Parts sensors.
  •  Set of Cylindrical Parts along with Parts bin for sorting parts into different categories.
  •  Run / Stop switches with Indicator lamps.
DYNA-PLC APPLICATION TRAINER (1)
  •  Seven SPDT Switches which can be used to manually control the inputs of the PLC, in order to
    simulate a various Input Conditions.
  •  On board Sensors indication LEDs
  •  On Board 10K Knob Potentiometer A(0-10V)
    AIR CONDITIONING TRAINER
    Distributed Control Training Systems
  •  The SIMATIC S7-1200, CPU 1214C, COMPACT CPU, DC/DC/DC controller,
  •  ONBOARD I/O: 14 DI 24V DC; 10 DO 24 V DC; 2 AI 0 - 10V DC, Timers, and Counters &
    Sequencer Functions.
  • The controller is supplied with Programming Software, which is used to Program, Monitor, Edit &
    Troubleshoot Sequences for practical exercises.
  •  An Interface RJ45 cable that connects the controller to the computer is included.
  •  Electrically Operated compressed air pump provides a safe source of compressed air.
  •  The PLC application trainer enables students to create Sequences which simulate the operation of a modern Industrial Production line

Dyna TnIT

DYNA-TnIT : Transducer & Instrumentation Trainer.

  • The bench-mounted trainer features the following Input devices and circuits ;
  • Carbon Track, Wire Wound, Precision Rotary & Slide potentiometers.
  • RTD resistance transducer, NTC Thermistors, 'K' Thermocouples, I.C. Temperature Sensor,
  • PIN diode, Photoconductive cell, Photovoltaic cell, Phototransistor.
  • Linear Variable Differential Transformer & Linear Variable Capacitor
  • Strain Gauge, Air-Flow Sensor, Air pressure sensor
  • Slotted Opto-Sensor, Reflective Opto-Sensor
  • Inductive Proximity Sensor, Hall Effect sensor
  • Precision Servo-Potentiometer Techo Generator
  • Humidity sensor
DYNA-1750-2

• Dynamic microphone
• Ultrasonic receiver
The Trainer features following Output devices ;
• Heater,
• Filament Lamp
• DC Motor
• Solenoid Air Valve,
• Relay,
• Solenoid
• Ultrasonic transmitter
• Buzzer
• Loudspeaker
• Counter/timer unit with LED display
• Bar Graph voltage indicator
• Analog 10V center-zero meter
The Signal Conditioning Circuit section consists of ;
• Buffers, Inverters,

• Comparator with Switchable Hysteresis
• Amplifiers With Gain & Offset Control
• Current, Summing, Differential, Power, AC and Instrumentation Amplifiers
• Oscillator 40 kHz, Filter 40 kHz, Low-Pass Filter with Switchable Time Constant.
• Precision Full-Wave Rectifier,
• Sample & Hold Circuit
• Electronic switch
• Integrator with Switchable Time Constant
• Differentiator with Switchable Time Constant
• V/F & F/V converters, V/I & I/V converters
• Alarm oscillator with switch able latching
AIR CONDITIONING TRAINER
Distributed Control Training Systems
Internal Power supply of Trainer provides +/-5V, 1A precision supply and +/-12V, 1A regulated supply. Pneumatic
Pump also included.

Dyna-Smart Factory

Sensors and Actuators:

Embedded sensors on machines and throughout the production line to capture data on parameters like temperature, pressure, vibration, and product quality in real-time, with actuators responding to data inputs to adjust processes accordingly. 

factory

Industrial IoT (IIoT) Network:
A robust network infrastructure to connect all sensors, machines, and devices, enabling seamless data transmission and communication across the factory floor.

Edge Computing:
Data processing capabilities at the edge of the network, allowing for faster decision-making and immediate response to production fluctuations.

 

Advanced Analytics and Machine Learning:

Utilizing algorithms to analyze large volumes of real-time data, identifying patterns, predicting potential issues, and optimizing production parameters. 

Robotics and Automation:
Highly automated production lines with collaborative robots (cobots) capable of complex tasks, flexible reprogramming, and human-robot interaction.

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