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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 08 | Aug 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1027
Automation ofInstrumentAir Distribution System using Arduino and
Integrate Industry 4.0
Vaishnavi Patole1, Mrs.Nagarathna2
1PG Student, Dept of TCE, Dayanand Sagar College of Engineering, Karnataka, India
2Assistant Professor, Dept of TCE, Dayanand Sagar College of Engineering, Karnataka, India
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract- This article's main focus is on creating a
completely improved IA distribution controlling system that
uses the Arduino program and extends Industry 4.0 by
utilizing IOT and wireless sensor interfaces, emulating the
Arduino IAD plant, and making it accessible online for remote
control. Particularly in tropical countries like India, air
conditioners have become a necessary element of daily life. An
air conditioner is regarded as one of the most important
control variables in a construction. This project is all about
using voice commands to operate an air conditioner. Here, the
Michel C. JARVIS application is used to recognize voice
instructions and turn on/off an air conditioner. The ARDUINO
voice sensors will enable the air conditioner to comprehend
spoken commands and control the compressor.
Key Words: Internet of things (IoT), Industry 4.0 ,
Instrument air (IA)compressor, IA Distribution system,
and Arduino
1.INTRODUCTION
In general, a pneumatic power supply is required for
pneumatic components to function in any plant that has a
large number of them. These pneumaticsuppliesarecreated
and distributed by a distinct system known as the
Instrument air distribution system. The pneumatic control
valves need air, which instrument air supplies. Three
Instrument Air Compressors (IAC) make up the Instrument
Air Distribution system of a thermal power plant, which is
triggered in response to the demand for instrument air. The
compressor is now controlled by relay logic. Relays are
electromechanical devices that use an electrical signal to
turn on a mechanical switch. Applying control logic torelays
requires complex wiring. Future changes will be more
challenging to implement as a result. Maintenance is time-
consuming and challenging; improper wiring could lead to
errors and even accidents. It is extremely challenging to
diagnose and fix.
2. OVERVIEW OF EXISTING SYSTEM
Hard-wired controller implementation is an obsolete
method that loses reliability with time. The on-site Human
Machine Interface (HMI) is difficult to see. To solve these
issues, To act as the local controller, a PLC is used. In Ladder
Logic constructed for it, and it is verified using theCoDeSys3
visualization tool. The IA compressor and IA distribution
system have been simulated as virtual instruments with
their respective control logicintheLabVIEW environment to
evaluate the operation of control logic and serve as HMI.
Additionally, the IA distribution system has adopted
Industry 4.0 using the Internet of Things (IoT).
3. DESIGN OF PROPOSED SYSTEM
IAD system control system diagramisshowninFigure1. The
controller exercisesthe necessarycontrol.theuseofArduino
to automate the air distribution system. There are twotypes
of instrument air controllers. Automatic start and stop
controller (ASSC) is the first, while continuous supply
controller is the second (CSC). The supply is quantitatively
divided into two bands in ASSC mode: a band that is 100%
ON and a band that is 0% ON or OFF. The 100% switch will
turn in this mode, while the other switches are off when the
process point is less than or equal to the specified point. The
switch will reset when the process point is greater than or
equal to the set point. The Continuous Supply Controller is
second (CSC). Three bands—100% ON, 50% ON, and0% ON
or OFF band—are quantitatively separated from the supply
in CSC mode. The PP is lower than SP in this mode. When PP
reaches or equals SP, the 50% switch turns on and the other
switches go off. When PP exceeds SP, the 0% switchturnson
and the other switches are reset.
As a virtual instrument, thecompressorplant'sdynamicsare
simulated, Arduino is used to collect current data (as a
DAQ), & indicators are used to show the condition ofvarious
final-control elements. The LabVIEW web publishing tool is
used for remote HMI packages; it serves as a front panel of
the complete procedure may be published on the internet
thanks to a webserver.
.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 08 | Aug 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1028
Fig-1. Instrument Air Distribution Control System
3.1 OBJECTIVES
Below mentioned is main objective of this project.
• To create a fully updated IA distribution control
system with Lab view and Arduino.
• In addition, industry 4.0 is implemented by using
Lab view as the HMI, simulating the IAD plant in
Arduino, and publishing thesamecontentonlinefor
remote access.
3.2 Working Principle of Module’s.
(i) INSTRUMENT AIR COMPRESSOR:
Instrument air compressors and serviceaircompressorsare
the two types of compressors utilized in the facility. Service
air is produced by service air compressors, whereas
instrument air is produced by instrument air compressors.
The drier mechanism for removing moisture from the air is
the primary distinction between the distribution systems of
interior air and service air.
(ii) INSTRUMENT AIR CONTROLLER:
There are mainly two types of IA controllers:
 Automatic start and stop controller (ASSC)
 Continuous supply controller (CSC)
The fundamental concept of the two controllers is the
ONOFF controller. They differ significantly in terms of Band
supply and the time-out for unloading feature.
4. Experimental Setup and Results.
Fig-2. Experimental Setup.
The Above Diagram is Experimental Setup for Utilizing
Arduino and Industry 4.0 to automate the instrument air
distribution system Currently, exhibiting results for the
Automatic Start and Stop Controller and Continuous Supply
Controller marks 50% of the project's completion. The
supply is quantitatively divided into two bands in ASSC
mode: a band that is 100% ON and a band that is 0% ON or
OFF. When the process point is less than or equal to the
desired point in this mode, the 100% switch will turn on
while the other switches remain off. The switch will reset
when the process point is greater than or equal to the set
point. The supply in CSC mode is quantitatively divided into
three bands: 100% ON, 50% ON, and 0% ON or OFF band.
When PP is less than SP in this mode, the 100% switch is on
and all other switches are off; when PP reaches or equals SP,
the 50% switch is on and all other switches are off; and
when PP exceeds SP, the 0% switch is on and all other
switches are reset.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 08 | Aug 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1029
4.1 Results for Automatic start and stop controller
(ASSC).
Fig-3 When process point is greater than or Equal to set
point
Fig-4 When process point is less than or Equal to set
point
4.2 Results for Continuous Supply controller (CSC).
Fig-5 Initial Status
Fig-6 When process point is less than set point
Fig-7 When process point is equal to set point
Fig-8 When process point is greater than set point
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 08 | Aug 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1030
5. CONCLUSIONS
The entire instrument air compressor system ismanaged by
the Arduino. Real-time data is fed into Arduino. Utilizing a
web publishing tool is an example of Industry 4.0. This
suggests wireless communication and cloud-based data
storage, which negates the requirement for a substantial,
intricate system.
6. ACKNOWLEDGEMENT
The researchersvaluetheircolleagues'insightful discussions
and feedback on the topics covered above.
REFERENCES
[1] Yashika.B L, Yogitha S T, Veena R, Avi Kumar R,“
Compressor AirPressureMonitoring Through Wireless
Communication System ”(IJERT 2018).
[2] Eddy Erham,Markus,Ary Surjanto,and Jaka Rukmana,"
Design of a new PID controller based on Arduino Uno
R3 with application to household refrigerator"
ICET4SD 2017.
[3] A.Viswa Hari Haran, Prawin Angel Michael, A.Leander,
J.Samuel Richard, JN.MohammedYusuf"Automation of
the air conditioner using ARDUINO"
[4] A J Taufiq , I H Kurniawan1 , T A Y Nugraha,” Analysisof
Arduino Uno Application on Control System Based on
Industrial Scale”.
[5] A.Jose Calderon Godoy, Manuel Calderon Godoy,
“Integration of Open Source Arduino with LabVIEW-
based SCADA through OPC for Application in Industry
4.0 and Smart Grid Scenarios” (ICINCO 2019).

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Automation of Instrument Air Distribution System using Arduino and Integrate Industry 4.0

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 08 | Aug 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1027 Automation ofInstrumentAir Distribution System using Arduino and Integrate Industry 4.0 Vaishnavi Patole1, Mrs.Nagarathna2 1PG Student, Dept of TCE, Dayanand Sagar College of Engineering, Karnataka, India 2Assistant Professor, Dept of TCE, Dayanand Sagar College of Engineering, Karnataka, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract- This article's main focus is on creating a completely improved IA distribution controlling system that uses the Arduino program and extends Industry 4.0 by utilizing IOT and wireless sensor interfaces, emulating the Arduino IAD plant, and making it accessible online for remote control. Particularly in tropical countries like India, air conditioners have become a necessary element of daily life. An air conditioner is regarded as one of the most important control variables in a construction. This project is all about using voice commands to operate an air conditioner. Here, the Michel C. JARVIS application is used to recognize voice instructions and turn on/off an air conditioner. The ARDUINO voice sensors will enable the air conditioner to comprehend spoken commands and control the compressor. Key Words: Internet of things (IoT), Industry 4.0 , Instrument air (IA)compressor, IA Distribution system, and Arduino 1.INTRODUCTION In general, a pneumatic power supply is required for pneumatic components to function in any plant that has a large number of them. These pneumaticsuppliesarecreated and distributed by a distinct system known as the Instrument air distribution system. The pneumatic control valves need air, which instrument air supplies. Three Instrument Air Compressors (IAC) make up the Instrument Air Distribution system of a thermal power plant, which is triggered in response to the demand for instrument air. The compressor is now controlled by relay logic. Relays are electromechanical devices that use an electrical signal to turn on a mechanical switch. Applying control logic torelays requires complex wiring. Future changes will be more challenging to implement as a result. Maintenance is time- consuming and challenging; improper wiring could lead to errors and even accidents. It is extremely challenging to diagnose and fix. 2. OVERVIEW OF EXISTING SYSTEM Hard-wired controller implementation is an obsolete method that loses reliability with time. The on-site Human Machine Interface (HMI) is difficult to see. To solve these issues, To act as the local controller, a PLC is used. In Ladder Logic constructed for it, and it is verified using theCoDeSys3 visualization tool. The IA compressor and IA distribution system have been simulated as virtual instruments with their respective control logicintheLabVIEW environment to evaluate the operation of control logic and serve as HMI. Additionally, the IA distribution system has adopted Industry 4.0 using the Internet of Things (IoT). 3. DESIGN OF PROPOSED SYSTEM IAD system control system diagramisshowninFigure1. The controller exercisesthe necessarycontrol.theuseofArduino to automate the air distribution system. There are twotypes of instrument air controllers. Automatic start and stop controller (ASSC) is the first, while continuous supply controller is the second (CSC). The supply is quantitatively divided into two bands in ASSC mode: a band that is 100% ON and a band that is 0% ON or OFF. The 100% switch will turn in this mode, while the other switches are off when the process point is less than or equal to the specified point. The switch will reset when the process point is greater than or equal to the set point. The Continuous Supply Controller is second (CSC). Three bands—100% ON, 50% ON, and0% ON or OFF band—are quantitatively separated from the supply in CSC mode. The PP is lower than SP in this mode. When PP reaches or equals SP, the 50% switch turns on and the other switches go off. When PP exceeds SP, the 0% switchturnson and the other switches are reset. As a virtual instrument, thecompressorplant'sdynamicsare simulated, Arduino is used to collect current data (as a DAQ), & indicators are used to show the condition ofvarious final-control elements. The LabVIEW web publishing tool is used for remote HMI packages; it serves as a front panel of the complete procedure may be published on the internet thanks to a webserver. .
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 08 | Aug 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1028 Fig-1. Instrument Air Distribution Control System 3.1 OBJECTIVES Below mentioned is main objective of this project. • To create a fully updated IA distribution control system with Lab view and Arduino. • In addition, industry 4.0 is implemented by using Lab view as the HMI, simulating the IAD plant in Arduino, and publishing thesamecontentonlinefor remote access. 3.2 Working Principle of Module’s. (i) INSTRUMENT AIR COMPRESSOR: Instrument air compressors and serviceaircompressorsare the two types of compressors utilized in the facility. Service air is produced by service air compressors, whereas instrument air is produced by instrument air compressors. The drier mechanism for removing moisture from the air is the primary distinction between the distribution systems of interior air and service air. (ii) INSTRUMENT AIR CONTROLLER: There are mainly two types of IA controllers:  Automatic start and stop controller (ASSC)  Continuous supply controller (CSC) The fundamental concept of the two controllers is the ONOFF controller. They differ significantly in terms of Band supply and the time-out for unloading feature. 4. Experimental Setup and Results. Fig-2. Experimental Setup. The Above Diagram is Experimental Setup for Utilizing Arduino and Industry 4.0 to automate the instrument air distribution system Currently, exhibiting results for the Automatic Start and Stop Controller and Continuous Supply Controller marks 50% of the project's completion. The supply is quantitatively divided into two bands in ASSC mode: a band that is 100% ON and a band that is 0% ON or OFF. When the process point is less than or equal to the desired point in this mode, the 100% switch will turn on while the other switches remain off. The switch will reset when the process point is greater than or equal to the set point. The supply in CSC mode is quantitatively divided into three bands: 100% ON, 50% ON, and 0% ON or OFF band. When PP is less than SP in this mode, the 100% switch is on and all other switches are off; when PP reaches or equals SP, the 50% switch is on and all other switches are off; and when PP exceeds SP, the 0% switch is on and all other switches are reset.
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 08 | Aug 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1029 4.1 Results for Automatic start and stop controller (ASSC). Fig-3 When process point is greater than or Equal to set point Fig-4 When process point is less than or Equal to set point 4.2 Results for Continuous Supply controller (CSC). Fig-5 Initial Status Fig-6 When process point is less than set point Fig-7 When process point is equal to set point Fig-8 When process point is greater than set point
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 08 | Aug 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1030 5. CONCLUSIONS The entire instrument air compressor system ismanaged by the Arduino. Real-time data is fed into Arduino. Utilizing a web publishing tool is an example of Industry 4.0. This suggests wireless communication and cloud-based data storage, which negates the requirement for a substantial, intricate system. 6. ACKNOWLEDGEMENT The researchersvaluetheircolleagues'insightful discussions and feedback on the topics covered above. REFERENCES [1] Yashika.B L, Yogitha S T, Veena R, Avi Kumar R,“ Compressor AirPressureMonitoring Through Wireless Communication System ”(IJERT 2018). [2] Eddy Erham,Markus,Ary Surjanto,and Jaka Rukmana," Design of a new PID controller based on Arduino Uno R3 with application to household refrigerator" ICET4SD 2017. [3] A.Viswa Hari Haran, Prawin Angel Michael, A.Leander, J.Samuel Richard, JN.MohammedYusuf"Automation of the air conditioner using ARDUINO" [4] A J Taufiq , I H Kurniawan1 , T A Y Nugraha,” Analysisof Arduino Uno Application on Control System Based on Industrial Scale”. [5] A.Jose Calderon Godoy, Manuel Calderon Godoy, “Integration of Open Source Arduino with LabVIEW- based SCADA through OPC for Application in Industry 4.0 and Smart Grid Scenarios” (ICINCO 2019).