Advanced Anomaly Detection System for Industrial Air Conditioners in Aircraft Hangars
Objective
To develop a sophisticated anomaly detection system for industrial air conditioners in aircraft hangars by using temperature, humidity, and vibration sensors. The system applies machine learning algorithms to analyze real-time data, identify potential failures, and activate automatic responses, such as cooling mechanisms and alerts, to ensure optimal performance and prevent disruptions.
Abstract
The efficiency and reliability of industrial air conditioners in aircraft hangars are critical for maintaining optimal conditions for aircraft spare parts. This project aims to develop an advanced anomaly detection system leveraging temperature, humidity, and vibration sensors to monitor the performance of these air conditioning units. The system employs machine learning algorithms to analyze real-time sensor data, identifying deviations and potential failures before they impact operations. In addition to the anomaly detection capabilities, the system incorporates an automatic response mechanism for high-temperature scenarios: when temperatures exceed a predefined threshold, the system activates a CPU fan relay to cool the CPU, and a buzzer to alert maintenance personnel of the elevated temperature. This integrated approach enhances preventive maintenance strategies, reduces the risk of system failures, and ensures the effective operation of air conditioning units in hangars.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
Hardware Requirements:
- Arduino
- DHT11
- Vibration Sensor
- LCD
- Relay
- CPU Fan
Software Requirements:
- Python
- Arduino IDE
- Embedded c
Learning Outcomes
- Arduino Pin diagram and Architecture
- How to install and setting up of Arduino IDE
- Vibration sensor interface with Arduino
- LCD interface with Arduino
- About Project Development Life Cycle:
- Planning and Requirement Gathering( software’s, Tools, Hardware components, etc.,)
- Schematic preparation
- Code development and debugging
- Hardware development and debugging
- Development of the Project and Output testing
- Practical exposure to:
- Hardware and software tools. ,
- Solution providing for real time problems,
- Working with team/ individual,
- Work on Creative ideas.
- Project development Skills
- Problem analyzing skills
- Problem solving skills
- Creativity and imaginary skills
- Programming skills
- Deployment
- Testing skills
- Debugging skills
- Project presentation skills
- Thesis writing skills
Paper Publishing
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Disclaimer - Takeoff Edu Group Projects are not associated or affiliated with IEEE in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, not projects of or by IEEE.
