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1. VISVESVARAYA TECHNOLOGICAL UNIVERSITY
BELGAUM-590018 , KARNATAKA
EAST WEST INSTITUTE OF TECHNOLOGY
Dept. of Computer Science and Engineering
No.63, Off. Magadi Road, Vishwaneedam Post, Bangalore-560091
TECHNICAL SEMINAR PHASE -1 PRESENTATION
ON
AN APPLICATION OF IOT FOR THE CONDUCT OF LABORATORY EXPERIMENT
FROM HOME
S U B M I T T E D B Y:
P R A S A D M R
( 1 E W 1 7 C S 11 3 )
UNDER THE GUIDANCE OF:
Prof Dhanraj S
Assistant professor, Dept of CSE
EWIT

2. CONTENTS
• ABSTRACT
• INTRODUCTION
• EXPERIMENTAL SETUP
 FACILITY
 MEASUREMENT SYSTEM
 APPLICATIONS OF IoT
• EXPERIMENTS
 DISTANCE MEASUREMENT SCHEDULE
 DISCUSSION
• CONCLUSION
• REFERENCES

3. ABSTRACT
The concept "Internet of Things“ has been applied in many fields to
reduce human efforts by using automatic things. It also provides
opportunities to develop remote laboratories or distance
researches/studies. The main objective of this article is to conduct the
telemetry experiment on the measurement of the flow behavior in the
pool scrubbing of a Filtered Containment Venting System (FCVS).
The Internet of Things (IoT) has been applied to monitor and control
the experimental performance and the measurement system. An
IoT network that consists of various sensors, web-cameras, IoT
appliances, and PCs was established. Thus, the laboratory's
experimental works can be implemented from home. It is valuable
for the current situation of social distancing due to the Covid-19
pandemic.

4. INTRODUCTION
One of the most important lessons learned from the Fukushima Daiichi Nuclear Power
Plant is that a system should be required for accident management.
A Filtered Containment Venting System (FCVS) is one such system that can enhance
the capability to suppress or even prevent the occurrence of a severe accident in the
reactor containment vessel.
In the current situation of Covid-19 pandemic , almost all countries have been applied
to the social distancing measure to reduce the rapid spread of the virus infection
during the vaccine that has not been successfully developed.
With the development of IoT technology , there are many software and smart
appliances has also been developed to allow remote control and monitoring , hence
providing opportunities to conduct the experimental researches in this situation of
Covid-19.

5. EXPERIMENTAL SETUP
FACILITY
• For the experimental study of the performance of an FCVS , a test facility was setup in the Tokyo
Institute of Technology.
• It stimulated a multi-layer filtration system including a scrubbing pool wet-type filter, a mist
eliminator, and a multi-stages dry-type filter.
• In the scope of this paper only the flow behavior pf the pool scrubbing of the wet-type filter was
investigated using the visualization measurement method.
• It is the first filtration stage of the FCVS.it is the vertical cylindrical scrubbing pool made of
transparent acrylic with and inner diameter of 20cm, the wall thickness of 1cm and a total length
of 200cm. A Venturi Scrubber Nozzle was used to generate the air bubble in the pool.
• The simulated air venting flow a was supplied by the air compressor whose rate can be adjusted
by the control valves on the downstream of the air compressor.
• The Venturi scrubber Nozzle was designed as the double stages Venturi Scrubber with the throat
size of 14mm x 58mm; and the maximum cross section (the exit) is 58mm x 58mm.
• The Mist Eliminator Vane-Type was installed at the downstream of the scrubbing pool. It also
played as the secondary filtration layer.

6. SCHEMATIC DIAGRAM OF THE TEST FACILITY

7. MEASUREMENT SYSTEM
• The flow behavior of the pool scrubbing in the wet-type filter layer was visualized using a
high-speed camera (HSC) (Fastcam Mini AX50 manufactured by Photron Co. Ltd.) with the
Nikon 60mm f/2.8G lens. The backlight illumination was applied for visualization.
• A halogen lamp was set up to reduce the refraction effect which is caused by the
cylindrical-shaped of the scrubbing pool wall, a rectangular water box was installed
covering the scrubbing pool at the test section.
• The refraction effect was considered to be insignificant due to the similarity of the
refractive indices between water and acrylic.
• By the limitation of the camera memory, a total of 5457 continuous frames were
recorded.
• The setting parameters of the High-Speed Camera is as below:
PARAMETER VALUE
Recording Rate 1000 fps
Shutter Speed 1/4000 sec
Resolution 1024 x 1024 pixels
Number of Frames 5457

8. SCHEMATIC DIAGRAM of the HSC MEASUREMENT

9. APPLICATION OF THE IoT
• For the distance conduction of the experiments, an IoT based network has been established for
controlling and monitoring the experiments based on three layers platform.
• The IoT things consists of three switchbots , two smart valve controllers and one solenoid
controlling valve which can be controlled via wifi internet connection.
• The measurement system consists of a high speed camera (Photron – Fastcam AX50) which is
controlled by a PC through an ethernet connection.
• Three cameras were used to observe the performance of the apparatus.
• The user can control the lab PC through the remote desktop control software, therefore,
control all the systems.
• The measurement data was automatically backed up into cloud storage making it easy to
access and analyze by users from anywhere via an internet connection.

10. EXPERIMENTS
DISTANCE MEASURENT SCHEDULE
• At first the standby systems were turned on using the smart switches and smart electric plugs.
• The water was filled into the pool and the level of he water was maintained using both feed
and drain water valves.
• The air compressor was turned on using a switchbot installed on the power button and it’s
flow was controlled by the solenoid valve through the PC’s software.
• The above figures show the interfaces of the apparatus and the HSC measurement controllers
through the Chrome Remote Desktop Extension.

11. • The recorded images of the High-Speed camera can be loaded into the PC directly by backing-
up data using cloud storage.
• The below figures show a raw image which was visualized by the HSC for the air injected flow
rate of 11.8 and 35.3 L/min , respectively.
• The flow pattern in the scrubbing pool was visualized at the height of 20 cm above the Venturi
Scrubber Nozzle.

12. DISCUSSION
• The visualization of the two-phase flow of the FCVS is one of the most important
measurements in the experimental research to improve the efficiency of an FCVS. However,
the impact of the Covid-19 pandemic, the time for conduct experiments, has been limited.
Therefore, the telemetric performance of experiments becomes important.
• In addition, it takes the time to send the measurement data to the cloud, therefore, the time
for each remote experiment is usually longer than on-site experiment.
• The experience of adjustment of devices is different between onsite and off-site controlling.
Sometime, the sensation of the operator is important.
• This experiment is an important part of our research project on the development of FCVS for
the Nuclear Power Plant. The work is still in progress.

13. CONCLUSIONS
• The IoT has been preliminarily applied to conduct a telemetric experiment. Such kind of tests
should be more and more performed and developed.
• It is valuable in our future projects for the development of the remote laboratory and carrying
out the telemetric studies, as well as increase the cooperation with other laboratories and
researchers.

14. REFERENCES
 R. O. Schlueter and R. P. Schmitz, “Filtered Vented Containments, Nuclear Engineering and Design,” vol. 120, pp. 93 - 103, 1990.
 T. Narabayashi, G. Chiba, A. Ishii, Y. Watanabe, N. Kitahara, K. Hirai, T. Masuda, Y. Nakasaka, N. Sato, K. Endo and T. Kobayashi,
“Development of High Efficiency Multi-Nuclide Aerosol Filters for Radiation Protection during a Process of Cutting Core Debris for
Fukushima Daiichi NPP,” Proc. 27th International Conference on Nuclear Engineering, Ibaraki, Japan, 2019.
 D. Jacquemain, “OECD/NEA/CSNI Status Report on Filtered Containment Venting,” OECD – Nuclear Energy Agency, Nuclear
Safety NEA/CSNI/R7, 2014.
 M. Casini, D. Prattichizzo, and A. Vicino, “The automatic control telelab,” IEEE Control Syst. Mag., vol. 24, no. 3, pp. 36–44, Jun
2004.
 M. Leisenberg and M. Stepponat, “Internet of Things Remote Labs: Experiences with Data Analysis Experiments for Students
Education,” 2019 IEEE Global Engineering Education Conference (EDUCON), Dubai, United Arab Emirates, pp. 22-27, 2019.
 T. S. El-Hasan, "Internet of Thing (IoT) Based Remote Labs in Engineering," 6th International Conference on Control, Decision
and Information Technologies (CoDIT), Paris, France, 2019, pp. 976-982, 2019.
 M. V. Ramya, K. Purushothama and R. Prakash, “Design and Implementation of IoT Based Remote Laboratory for Sensor
Experiments,” Int. J. Interactive Mobile Technologies, vol. 14, no. 9, pp. 227-238, 2020.
 M. Poongothai, A. L. Karupaiya and R. Priyadharshini, “Implementation of IoT based Smart Laboratory,” Int. J. Computer
Applications, vol. 182, pp. 31-34, 2018