Project Overview

Project Title: Lifetime Energy Consumption and Carbon Dioxide Equivalent Emission Assessment of Historical and Modern Places of Worship with Deep Learning Support: A Comparative Analysis of the Historical Aga Mosque and Eruslu Mosque.

This project involves implementing IoT circuits and creating a platform to compare the energy consumption and carbon dioxide emissions between historical and modern mosques. Below is a detailed summary of the project.

IoT Circuit Implementation and Platform Creation

I set up IoT circuits to monitor and collect data on various environmental parameters. Additionally, we developed a platform to analyze and visualize the data collected by the sensors.

Sensor Usage

Types of Sensors: I utilized sensors to measure temperature, humidity, light intensity, and CO2 levels.
Data Collection: The sensors continuously gather real-time data, offering a comprehensive view of the environmental conditions within both mosques.

Circuit Design

Sensor Integration: I designed circuits that effectively integrate the sensors with microcontrollers and communication modules.
Data Transmission: Ensured reliable data transmission from sensors to the platform using wireless communication protocols.

CO2 Emissions Comparison

Historical Aga Mosque: I analyzed the energy consumption and CO2 emissions of the historical mosque, considering factors like traditional building materials and natural ventilation.
Modern Eruslu Mosque: I assessed the energy consumption and CO2 emissions of the modern mosque, focusing on modern building techniques and energy-efficient systems.
Comparative Analysis: Conducted a comparative analysis to identify differences in energy consumption and CO2 emissions between the two mosques, leveraging deep learning algorithms to enhance the accuracy and insights of the analysis.