Implementation and Health Monitoring System of Vehicle by using IoT and Cloud Computing

This article takes an Internet of Things (IoT) based, embedded vehicle health monitoring system as its starting point for examination. How well it can identify a vehicle's state by keeping tabs on its internal metrics, including its heating rate, engine oil level, and CO status. The problems in the car's actuators and sensors, whether caused automatically by the vehicle or the user, may be detected and identified by a real-time vehicle health monitoring system. In reality, cars break down after a given amount of time, and if they may not maintain at regular intervals, it might be fatal for the people riding inside. As such, the fundamental goal of this system is to create an IoT-based embedded system capable of detecting the internal state of a vehicle by assessing the many metrics used to analyze the vehicle's present health status. True to its name, this is a real-time assessment tool for easy health status checking. That being the case, it gives you complete and accurate data about the state of your car. After several disruptions and uncertainties, this IoT-based system promises to be able to detect and diagnose actuator and sensor problems with almost zero detection lag.

I. Introduction

There are many individual components in a car that work together to form larger systems like the powertrain. These hardware parts are expensive because of their complicated designs and assembly processes[6], [7]. The performance of various pieces of hardware Using an ever-increasingly complex network of software components, e may be fine-tuned. [8], [9] It is easy to imagine how difficult it would be to keep track of all these parts, particularly in the event of damage or failure. Current practices of doing most maintenance only when there is a visual breakdown in the vehicle are known as reactive maintenance; this kind of maintenance is expensive, time-consuming, and potentially unsafe since it waits for failure to occur before beginning repair. Improving component and subsystem lifetimes decreases vehicle servicing and repair costs and provides vehicle fault/failure prediction methods. Can all be accomplished by implementing a health monitoring system that can automatically diagnose the operating conditions of various subsystems and warn the driver/owner. Some studies using the references from [1]–[3] and other websites and tools [5]–[7] to fulfill the need to create a monitoring system.