Abstract

This project proposes the development of a desktop PC monitoring system to track hardware performance and health metrics. By leveraging sensors, system logs, and software interfaces, the system aims to provide real-time monitoring of key hardware components such as CPU, GPU, memory, and storage devices. Through a user-friendly interface and customizable alerting mechanisms, the monitoring system will enable users to identify potential hardware issues, optimize performance, and prevent system failures.

Introduction

Desktop PCs are essential tools for various computing tasks, ranging from gaming and multimedia editing to business and productivity applications. Monitoring the health and performance of hardware components in desktop PCs is crucial for ensuring system stability, optimizing performance, and preventing hardware failures. This project proposes the development of a desktop PC monitoring system to provide users with real-time insights into the status of their hardware components, enabling proactive maintenance and troubleshooting.

Problem

Desktop PC users often lack visibility into the health and performance of their hardware components, leading to missed opportunities for optimization and early detection of issues. Traditional monitoring methods may involve manual checks or reliance on built-in system utilities, which may not provide comprehensive or real-time data. Additionally, users may be unaware of potential hardware problems until they experience system crashes or performance degradation. Addressing these challenges requires the development of a desktop PC monitoring system that offers real-time monitoring, customizable alerts, and user-friendly interfaces.

Aim

The primary aim of this project is to develop a desktop PC monitoring system that enables users to track the performance and health of their hardware components in real time. The monitoring system will collect data from sensors, system logs, and software interfaces to provide insights into key metrics such as CPU usage, GPU temperature, memory utilization, and storage health. The objective is to empower users to identify potential hardware issues, optimize performance, and prevent system failures through proactive monitoring and alerting mechanisms.

Objectives

1. Research existing desktop PC monitoring tools, hardware sensors, and system interfaces to identify key metrics and monitoring requirements.

2. Design a modular and extensible architecture for the desktop PC monitoring system, including components for data collection, analysis, visualization, and alerting.

3. Develop software modules to collect data from hardware sensors, system logs, and software interfaces, and store them in a centralized data repository.

4. Implement algorithms for real-time analysis of hardware performance metrics, identifying anomalies, trends, and potential issues.

5. Design user-friendly interfaces for visualizing hardware performance metrics, enabling users to monitor their systems in real time and explore historical data.

6. Integrate customizable alerting mechanisms to notify users of critical hardware events or performance degradation, enabling proactive troubleshooting and maintenance.

7. Conduct testing and validation of the desktop PC monitoring system in real-world desktop PC environments, gathering feedback from users to iteratively improve functionality and usability.

Research

The project involves research in desktop PC hardware monitoring, sensor technologies, data analysis, and user interface design. Initial research will focus on understanding existing monitoring tools and technologies and identifying key hardware performance metrics to monitor. The design phase will involve creating a modular and extensible architecture for the monitoring system, suitable for integration with various hardware configurations and operating systems. Development will include implementing software modules for data collection, analysis, visualization, and alerting, leveraging open-source libraries and APIs where applicable. Collaboration with desktop PC users and hardware enthusiasts will ensure that the monitoring system meets the needs and expectations of its target audience. Ethical considerations, such as data privacy and user consent, will be addressed throughout the research and development process.