IOT-Based Predictive Maintenance for fleet Management

In recent years, the Internet of Things (IoT) and big data have been hot topics. With all this data being produced, new applications such as predictive maintenance are possibleIn this project we are going one step ahead with GPS and going to track a vehicle using GPS and GSM. This Fleet management system can also be used for Accident Detection Alert System, Soldier Tracking System and many more, by just making few changes in hardware and software. Tracking of vehicle is a process in which we track the vehicle location in form of Latitude and Longitude (GPS coordinates). GPS Coordinates are the value of a location. This system is very efficient for outdoor application purpose. This kind of Fleet management system Project is widely in tracking Cabs/Taxis, stolen vehicles, school/colleges buses etc. This system is basically an embedded one. Embedded stands for hardware controlled by software. Here, the software using a Arduino controls all the hardware components. Arduino plays an important role in the system. Currently almost of the public having an own vehicle, theft is happening on parking and sometimes driving insecurity places. The safe of vehicles is extremely essential for public vehicles. Vehicle tracking and locking system installed in the vehicle, to track the place. The place of the vehicle identified using Global Positioning system (GPS) and Global system mobile communication (GSM). These systems constantly watch a moving Vehicle and report the status on demand. When the theft identified, the responsible person send SMS to the microcontroller, then microcontroller issue the control signals to stop the engine motor. Authorized person need to send the password to controller to restart the vehicle and open the door. This is more secured, reliable and low cost.