Thermal Plant: Enhanced Operational Efficiency & Security
50
Locations
24x7
AI-Powered monitoring
17x
Reporting of Leading Indicators
15%
Faster Response Time
Introduction
As a reliable energy provider, the thermal power plant plays a crucial role in the regional power infrastructure. Spanning an area of 16 km, prioritising security, compliance, and operational efficiency across its vast premises is essential. Although equipped with 50 surveillance cameras providing 24x7 surveillance and a committed security team, the facility encounters difficulties in supervision, execution of safety protocols and risk mitigation, leading to financial losses and inefficiencies in operations
Problem Statement
The thermal power plant is facing challenges with security and operations, including thefts in the storeroom, perimeter breaches, unauthorized entry into the yard, and speed limit violations, leading to financial losses and heightened safety risks. Additionally, the existence of fire hazards and the lack of automated crowd management highlight the urgent need for a real-time AI-driven surveillance system to facilitate proactive monitoring and ensure adherence to regulations.
Pre-Awiros Approach
The plant depends on manual security patrols, where workers perform rounds every half hour during their shifts. Security staff at the primary entrance maintain a handwritten record of personnel and vehicle movements, leading to inefficiencies. Despite having 50 CCTV cameras installed, the real-time monitoring capability is limited, and response times are slow.
The Solution
An analysis of underlying causes indicates that most security and compliance challenges stem from reliance on manual monitoring and a lack of immediate automated alerts. The solution needs AI-powered automation to reduce reliance on human-assisted intervention, facilitating proactive security measures and informed decision-making based on data. To address these issues, the Thermal Power Plant partners with Awiros to
implement AI-based video analytics across all 50 cameras. The solution was deployed on-premises. This enhancement introduces automation, boosts surveillance capabilities, and streamlines operations. Below is the solution architecture:
implement AI-based video analytics across all 50 cameras. The solution was deployed on-premises. This enhancement introduces automation, boosts surveillance capabilities, and streamlines operations. Below is the solution architecture:
Solution Architecture
Perimeter Security
The 16 km perimeter is
hard to monitor manually, especially after working
hours leading to breaches
hard to monitor manually, especially after working
hours leading to breaches
Perimeter Intrusion Detection:
AI-powered surveillance
for immediate alerts on
unauthorized access
AI-powered surveillance
for immediate alerts on
unauthorized access
Storeroom Theft
The theft of metal scraps
and other valuable materials leads to loss of revenue
and other valuable materials leads to loss of revenue
Crowd Monitoring:
AI triggers alerts when
more than three people are
detected in the storeroom
AI triggers alerts when
more than three people are
detected in the storeroom
Vehicle Over Speeding
Speeding vehicles within the
facility increase accident
risks
facility increase accident
risks
ANPR & Speed Monitoring:
Real-time recognition of
license plates and vehicle
speeds, ensuring compliance
Real-time recognition of
license plates and vehicle
speeds, ensuring compliance
Personnel Tracking
The high volume of entries
and exits at the main gate
necessitates effective
monitoring
and exits at the main gate
necessitates effective
monitoring
Facial Recognition & People Tracking:
Automated identification
and tracking of individuals
at entry/exit points
Automated identification
and tracking of individuals
at entry/exit points
Internal Hazards (Fire, Smoke)
Delayed detection of
internal hazards like fire or
personnel collapse
internal hazards like fire or
personnel collapse
Fire & Smoke Detection:
Immediate identification of
safety hazards for quicker
response
Immediate identification of
safety hazards for quicker
response
Manual Security Patrols
Inefficient half-hourly
manual patrols, leading to
slow responses.
manual patrols, leading to
slow responses.
Continuous AI Surveillance:
Automated real-time
monitoring for 24/7
security, eliminating the
need for manual patrols
Automated real-time
monitoring for 24/7
security, eliminating the
need for manual patrols
Data Collection & Reporting
Slow and error-prone
manual data collection
hampers decision-making
and has a higher likelihood
of human error.
manual data collection
hampers decision-making
and has a higher likelihood
of human error.
Automated Alerts & Management Information
System (MIS):
Instant notifications via
WhatsApp and email for faster, more accurate communication.
System (MIS):
Instant notifications via
WhatsApp and email for faster, more accurate communication.
Result
The AI-powered surveillance system significantly boosts safety, enhances operational efficiency, and improves data accuracy.
1. 17X Increase in reporting leading indicators: AI-driven surveillance replaces manual patrols, resulting in enhanced monitoring coverage.
2. 5X Reduction in Unauthorized Entry: Facial recognition technology significantly cuts down on access by unauthorized individuals.
3. Information Sharing Time Cut by 30 Minutes: Automated notifications eliminate the chances of human error or delayed response.
4. Decrease in Revenue Loss: Incidents of theft in storage areas and yards have significantly declined.
5. Compliance with Speed Limits: Automatic Number Plate Recognition (ANPR) systems effectively monitor vehicle speeds to ensure safe environment.
6.Enhanced Data Documentation: Comprehensive records of all entries and exits are carefully maintained for future reference, creating a digital trail/audit.
1. 17X Increase in reporting leading indicators: AI-driven surveillance replaces manual patrols, resulting in enhanced monitoring coverage.
2. 5X Reduction in Unauthorized Entry: Facial recognition technology significantly cuts down on access by unauthorized individuals.
3. Information Sharing Time Cut by 30 Minutes: Automated notifications eliminate the chances of human error or delayed response.
4. Decrease in Revenue Loss: Incidents of theft in storage areas and yards have significantly declined.
5. Compliance with Speed Limits: Automatic Number Plate Recognition (ANPR) systems effectively monitor vehicle speeds to ensure safe environment.
6.Enhanced Data Documentation: Comprehensive records of all entries and exits are carefully maintained for future reference, creating a digital trail/audit.
Conclusion
By partnering with Awiros and deploying AI-driven video analytics, the thermal power plant achieves significant improvements in security, safety, and operational efficiency. The plant moves from a reactive to a proactive security posture, significantly reducing security risks, compliance violations, and operational inefficiencies. These advancements not only enhance the facility’s overall performance but also contribute to higher safety standards, improved decision-making, and reduced revenue leakage.
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