International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 09 | Sep 2024
p-ISSN: 2395-0072
www.irjet.net
AI Sensor Application to segregate the Oil and Water from the Automatic Air Bottle Draining System S Vishwa¹, L Arockiya Harish², A C Mariappan³, G Peter Packiaraj⁴ 1,2Final Year B.E Marine Cadets, PSN CET, Tirunelveli, Tamil Nadu 3,4Assistant Professor, Department of Marine Engineering, PSN CET, Tirunelveli, Tamil Nadu
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ABSTRACT
Drainage System: Channels away the drained water or contaminants.
This innovative solution integrates AI-powered predictive maintenance and automation into marine air bottles, ensuring efficient and safe operation. Advanced sensors monitor air bottle conditions, feeding data into machine learning algorithms that predict water accumulation and schedule drainage. The automated system opens and closes the drainage valve, eliminating manual labor and minimizing downtime. Real-time monitoring and anomaly detection enable timely intervention, reducing the risk of corrosion, damage, and system failure. By leveraging IoT and industrial automation technologies, this solution enhances efficiency, safety, and reliability in marine air compression systems.
3 OPERATIONS AI Methodology The AI method employed for the marine air bottle with an automatic drain system involves the following steps Data Collection: Advanced sensors monitor temperature, pressure, humidity, and flow rates in real-time, providing accurate data on air bottle conditions. Data Preprocessing: The collected data is cleaned, filtered, and transformed into a suitable format for analysis.
Keywords: Marine Air Bottle, Automatic Drainage System, AI, Predictive Maintenance, IoT, Industrial Automation.
Machine Learning Algorithm: A sophisticated AI algorithm, such as predictive analytics or regression, is trained on the preprocessed data to predict water accumulation and identify potential issues.
1 INTRODUCTION The marine air bottle is a critical component of marine compression systems, providing a reliable source of compressed air for various onboard applications. However, water accumulation in the air bottle can lead to corrosion, damage, and system failure. Traditional manual drainage methods are time-consuming, prone to human error, and may not ensure timely maintenance. To address these challenges, an innovative AI-powered automatic drainage system has been developed.
Model Training: The machine learning algorithm is trained on historical data to learn patterns and relationships between air bottle conditions and water accumulation. Model Deployment: The trained model is deployed in the automation controller to predict water accumulation and automate the drainage process. Real-time Monitoring*: The system continuously monitors air bottle conditions, adjusting drainage schedules as needed.
2 COMPONENTS Air Bottle: Stores compressed air. Pressure Sensor: Monitors air pressure in the bottle. Water Level Sensor: Detects water or contaminants in the air bottle. Temperature Sensor: Monitors temperature of the air and bottle. AI Control Unit: Central unit for processing sensor data and making decisions. Actuator: Mechanically operates the drain valve. Automatic Drain Valve: Controlled by the AI unit to open or close.
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Anomaly Detection: The algorithm identifies unusual patterns, alerting maintenance personnel to potential issues
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