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ET143016 ET143015-1.pptx
1. Project Title
IOT BASED INDUSTRIAL AUTOMATION OBSERVATION
International Islamic University Chittagong
Department of Electrical and Electronic Engineering
الرحيم الرحمن هللا بسم
Submitted By:
Md. Noman Ahmed(ET-143016)
Tayeb Bin Lokman(ET-143015)
Supervisor:
Engr. Md. Rashidul Islam
Assistant Professor, Dept. of EEE, IIUC
2. Presentation Overview
1. Introduction
2. Motivation
3. Previous works
4. Objectives
5. Block diagram
6. Methodology
Department of Electrical & Electronic Engineering (EEE), IIUC 2
7. Circuit diagram
8. Flow chart
9. Results
10.Cost analysis
11.Advantages & application
12. Limitations and Future work
13. Conclusion
3. Introduction
DEVICE : Internet of thing modules Tts self analyzed performance and machine
observation makes it unique then other systems . It provides not only controls but also
self analyzed data result by which you can increase productivity and efficiency.
CLOUD: We managed sensor data to a cloud server . There we showed them on chart
based on time reading data . So we can manage our machines and take proper steps .
CONTROLS: With this system you can easily control devices . Not only from computer
but also mobile , smart watch ,tv ,tab end so many smart devices .
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4. Motivation
A few month ago a huge fire
broke out in A k khan
chattogram .Those fire
occurred from electricity . If
we ignore the service fault
there still left some reason’s
which alert us a lot . One of
them are power observation .
Our factories are not widely
concern about the machine
performance and power flow .
They only focused on
productivity . For this reason
we tried to make a solution
which can reduce this
problems.
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Department of Electrical & Electronic Engineering (EEE), IIUC
5. Previous work
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Due to the progression of wireless technology, there are a few different advancements were
presented, for example, RFID, ZIGBEE, Bluetooth, GSM and Wi-Fi
Previous research on industrial automation system was GSM and Bluetooth based
automation system. Besides these problems they have the distance issue.
Limitations of automation like storage and operation on Arduino and PLC based system
were noticed on different criteria .
6. Objectives
The project aim is to implement an IOT based industrial automation observation
system.
This project deals with four most important data monitoring .They are power
monitoring, Dc gear motor controlling, product counting, overall system monitoring
using raspberry pi’s camera.
We can monitor the overall condition of industry through website because all data that
the system monitored will be directly uploaded to webserver which can also be
accessible through smartphones , tabs and other smart devices.
Department of Electrical & Electronic Engineering (EEE), IIUC 6
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Department of Electrical & Electronic Engineering (EEE), IIUC
Figure (1): Block diagram of the system
Block diagram
8. Methodology:
Operation:
Power Section: From power sensor INA219 we counts voltage and current and for temperature
sensing we uses DS18B20 sensor . Those data automatically updates on web server.
Product counting: We uses lager and LDR module for product counting and this value will
update on server with an interval of time .
Control section: We managed to control only dc gear motor and the cooing fan of the device .
For this we uses CAYENNE.
Monitoring: For monitoring we uses raspberry pi camera module . By this we can live monitor
the industry from anywhere in the world.
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9. Circuit diagram of the system:
Fig (2 ): Circuit diagram of the system
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10. Flow chart
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Figure ( 3): flow chart of voltage current measurement
voltage current measurement flow chart:
13. Fig(5 ): voltage ,current measurement in both display and in website
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voltage ,current measurement:
Result and Analysis
14. Product counter:
Fig(6 ): product counter showing data on website
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Result and Analysis (Cont.)
15. Temperature:
Fig( ): Overall temperature shown in
display .
Fig(7 ): Overall temperature shown in
website
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Result and Analysis (Cont.)
16. Result and Analysis (Cont.)
Camera:
Fig(8 ): Camera operation based on vlc media player
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17. Cost analysis:
For creating this project it takes
around 20k Bangladeshi taka but in
case of industrial implementation it
will need around one lakh Bangladeshi
taka .So here we have given some real
time costings data based on product
and softwares .
Costing in arena of insustry:
Software costing: Around 45k
Labour cost: Around 20k
Wiring: Around 20k ( varies with
system)
Power unit: Around 20k ( multiple
unit of this system)
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18. Advantages:
Our system is user friendly . Anyone
can manage their system with our
device.
Anyone can live monitor their system
from web server . So maybe some
people will also want to implement it
in their house also.
Using its analysis we can create
Artificial intelligence with it .
Advantages & Application:
Application:
Industrial monitoring.
Control of system over the
internet.
Securing industrial environment.
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19. Limitations and Future work
Limitation:
1. Counter we used in this project deals with single count every time .
2. Image or video processed through camera is approximate 3 second late .
3. We used CANEYEEN software for controlling purpose which has internet connectivity problem.
4. Cooling fan we used operated by manual process . We didn’t keep auto turn on feature .
Future Improvement:
1. In future it will be possible to use artificial intelligence in display system.
2. In future it will be possible to add alternative source in voltage /current measuring system
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20. Department of Electrical & Electronic Engineering (EEE), IIUC
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Conclusion
An effective way of wireless communication by using open shift web free
server and wifi module.
Data can be monitored at remote locations with secured manner.
The aim was to produce an affordable, user friendly system which can insure
safety in working environment.
The project’s aims have been successfully fulfilled with the implementation
of the prototype.