Alert system on identification of threat zones in and gas refineries

1. ALERT SYSTEM ON
IDENTIFICATION OF THREAT
ZONES IN AND GAS REFINERIES
TEAM MEMBERS
IMANDI VASAVI
MULLANGI RAJU

2. ABSTRACT
The tragic incident happened in gas industries such as Bhopal gas tragedy, Visakhapatnam gas leak are so sorrow of
us. If an alert system works efficiently, according to identify gas leakage and gas spreading direction then we can
save many lives within few minutes. So, if an alert system that identifies the direction of gas leakage in a radius
manner along with the threat zones near the explosion of gas and automatic alarm activation is done. After an
explosion, this radius categorizes alerts into three levels (red, orange, and yellow) based on severity. It calculates
the real time weather data and utilizes parameters such as wind direction, speed, and temperature to accurately
measure the radius of gas spread and identify threat zones with high precision. The system automatically activates
alarms in proximity to gas leaks, prioritizing alert levels (e.g. red, orange, yellow) based on distance from the
industry and direction of gas dispersion. So based on these alerts people will know the gas leakage from industries
and can save themselves at anytime.

3. INTRODUCTION
At present, chemical and gas refineries play a crucial role in our life. Anyways, explosions in these refineries
release harmful gases that can endanger human lives. Examples are the tragic incidents in Bhopal (1984) and
Visakhapatnam (2020). If an explosion happened in any industry, the people who are living near to these
industries will affect more due to the unknown attention of gas leakage. If an alert system works efficiently,
according to identify gas leakage and gas spreading direction then we can save many lives within few minutes.

4. OBJECTIVE
 Alert people after an explosion about the attention of gas leakage. So that we can save some of the lives
at any time irrespective of day and night.
 Automatic alarm activation alerts people who are living near to the gas explosion areas.
 An alert system that integrates Machine Learning and Internet of Things technologies to efficiently detect
threat zones and provide real-time alerts in industrial environments to alert and rescue people by
themselves.

5. PROPOSED METHODOLOGY
 First we identify the oil and gas refineries in India map using python. Threat zones are detected in a radius format around
the industry.
 The threat zone radius is measured based on the wind speed, direction and quantity of gas released into atmosphere. The
wind data is the real time data which is taken from Open wind API.
 If an explosion happened in any industry, first the gas sensor detects the gas leakage. Based on the quantity of gas
released into air, it will give signals to its nearby alarms with visual effects.
 Based on the quantity of gas leaked into the atmosphere and gas spreading direction, the system will show the exact
direction of gas leakage.
 Only in that measured direction, the alarms will make sounds. It means that gas is leaked and spreading in that direction
 So in this way, we alert the people through visual alarms, so that people will get the correct alerts and have some time to
rescue themselves.

6. IDENTIFICATION OF THREAT ZONES IN OIL AND
GAS INDUSTRIES IN INDIAN MAP USING PYTHON

7. CATEGORIZING THE THREAT ZONES
The alerts are categorized into three levels
based on quantity of gas travelling through air.
 Red colour indicates that, the place is
exposure to hazardous gases. Alarms are in
activating condition only.
 Orange colour indicates that the place is
some dangerous. But only few alarms will
be activated.
 Green colour indicates safe. So no alarm
make any sound

8. NOVELTY
 The existing alert systems have lack of capability to measure crucial parameters of the air and estimate the extent
of gas leakage into the atmosphere following an explosion. Our alert system enhances the ability to detect and
manage threat zones associated with gas explosions in industrial environment.
 Our alert system enable real time monitoring, accurate assessment of gas dispersion into atmosphere.
 System displays the direction of gas leakage in the atmosphere based on the quantity of gas released using python
 If an explosion happened, based on wind direction, speed and quantity of gas released into air, the necessary
alarms will make sound which are near to the gas prone areas only. From this alarm sounds the people can rescue
themselves. So that we can save many lives as soon as possible.
 Automatic alarm activation is done only in the direction which is displayed in the system.

9. PROTOTYPE
Visakhapatnam Gas refinery location Prototype of the project

10. CONCLUSION
 Based on the air travelling direction, speed and quantity of gas released into the atmosphere, we can
easily identify the threat zones which are more affected due to gas.
 Only at the time of explosion, the necessary alarms will be activated to rescue in a proper direction.
 Automatic alarm activation when the gas explosion happened. From this, people will get efficient alarms,
time management and people will rescue themselves.
 We can save many lives from efficient alert system to some extent.