Objective:
            The aim of this project is to build a heavy vehicle monitoring system which is used to monitor the parts of heavy vehicles like engine temperature, fuel level, carbon emission, cabin environment, radiator etc. The monitoring system is done by android app.
Abstract:
           Nowadays heavy vehicle plays a major role in transportation. Heavy vehicles carry 71.3% of freight transported over land. Heavy vehicles function as part of a logistics chain whose components also include inland waterways, shipping, air and rail transport. The other transport modes also depend on Heavy vehicles to transfer freight to and from depots, rail terminals, airfields and ports. Whether you have Heavy vehicles delivering stock, logistics vehicles or any other type of truck fleet, as a major part of your business it’s important that each vehicle is safe to be on the road. As you would with a car, having repairs done and regular maintenance is the best way of ensuring small problems do not progress into dangerous issues.
            From dashboard warning lights to strange noises coming from your exhaust, you should never ignore any of these signs. In most cases, you’ll find that the repair is an easy fix, and bringing your vehicle to a professional garage or service centre is your best bet. Driving a vehicle that’s in need of a repair could be very dangerous. Unexpected problems may arise as you’re driving, putting you and other road users at risk of a traffic accident, so to avoid this we proposed a heavy vehicle maintenance system. The system is equipped with smart microcontroller, gas sensor, vibration sensor, temperature and humidity sensor, liquid level sensor, voltage sensor, NodeMCU and a 16×2 LCD.
            Through this system we will be able to monitor the health of heavy vehicles and take action in advance to keep the vehicle in good condition.
Proposed System:
           The proposed heavy vehicle maintenance system monitors the parameters of heavy vehicles and gives the data of the parts and the system can be monitored through android application via node MCU and it sends the data to cloud database. Through this system we can avoid vehicle failures and we ensure the health condition of the vehicle.
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