Integrated Automation Lab Setup


The main objective of this program is to impart a holistic knowledge and experience of modern automation technologies, ability to integrate and program them in different ways as per industry practices. Given below is the automation technologies that students are expected to work with in industry with a special emphasis on practical labs.


Students learn about the operating principles of machine and process automation using PLC and HMI, digital and analog signal interfacing, data / message handling and execution of a variety of open loop and closed loop control functions. Students work using conventional I/O simulators, moving towards usage and programming of smart, interactive display stations, configuring peer to peer and master-slave industrial networks. Programmable Controllers and an interactive touch screen based HMI helps students to simulate industry relevant case studies
Sensors are industrial devices that interact with the physical machinery or moving parts or environment around them and convert physical parameters or changes in parameters accurately into information that is made available on ‘real-time’ basis, to the rest of the control system it is connected with. A variety of industrial sensors used for object detection, position detection, speed detection are offered along with status indicating lamps and counters. o This setup is configured with industrial grade automation devices. Students get to know about the operating principles, the physics, the applications, installation and tuning procedures of various sensing devices such as Inductive sensors, Capacitive sensors, Photoelectric sensors ( with Direct detection, ER, Retro-reflective, Background Suppression options), Magnetic sensors, Ultrasonic sensors , Color Contrast sensors, Distance Measurement and Positioning sensors, Incremental Rotary Encoder, Speed / Frequency indicators, etc.
The integration panels impart an effective hands-on experience in the design and execution of comprehensive automation solutions. Students can design their own automation solutions as mini- projects, relevant to industry users, as well, as they are equipped with electrical and pneumatic industry standard automation backplanes, assortment of interfacing relays and high quality panel wiring with spring terminals. These include a master controller that can be configured to act as a local master or remote master to any other controller. It is handy for experiments related to energy monitoring, closed loop control, SCADA and discrete manufacturing. Integration stands also incorporates electro pneumatic components and Actuator Sensor Interface technology compatible with latest controller technology such as VFDs, PID controllers, thermostat, energy meter etc.
Integration Panel–2 comprises of few advanced options. It is provided with a Master Controller that can be configured to act as a local master or remote master to any other controller in your lab network. It is handy for experiments related to energy monitoring, closed loop control, SCADA and discrete manufacturing . Integration Stand 2 also incorporates electro pneumatic components and Actuator Sensor Interface technology compatible with latest controller technology.
Students get to know about the operating principles, the physics, the applications, programming and control procedures of various motion control drives, such as Servo and Stepper drive.
Students learn about the operating principles, the construction, the application, selection criteria and installation procedures of various automation control elements such as Single acting cylinder, Double acting cylinder, Single and Double sided pneumatic actuated valves, Dual pressure valve, Shuttle valves, Quick exhaust valves, Single solenoid valves, Proximity reed switch, Pressure sensor, Flow control valve, Proportional pressure regulator etc. By the use of interface software to measure and control pneumatics elements the students will learn to acquire fast PC supported recordings, experience to measure and interpret circuit status and infer the system behaviour.

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