An efficient automotive security system is implemented for anti-theft using an embedded system integrated with Global Positioning System (GPS) and Global System for Mobile Communication (GSM. System presented has Two types of tracking, one is online tracking with GPS system can only receive the vehicle location information from satellites and other is offline tracking. GSM system is installed in the vehicle for sending the information to the owner of the vehicle. The preventive measures like engine ignition cutoff is installed in the vehicle which is controlled using user or owner GSM mobile. The owner can lock or unlock his/her vehicle with the help of SMS. The system is implemented on general purpose printed circuit board (PCB) Using Arduino.
Embedded Shock and Vibration monitoring system is considered to be the most effective method for analyzing the performance of the underwater vehicle and also for early fault detection. Shocks and vibrations of underwater vehicles cause the systems sometimes malfunction, faulty and sometimes fail. To avoid the failure of the systems the shocks and vibrations of the vehicle is to be evaluated and controlled. For monitoring these parameters a sophisticated monitoring system is required. The main aim of this work is Development and Testing of an embedded FPGA based 3-axis simultaneous shock and vibration system for monitoring of shocks and vibrations in the underwater vehicle. The shock and vibration monitoring system consists of piezoelectric accelerometers which perform well over the wide range of temperature and resists damage due to severe shocks and vibrations to acquire the vibration signals. This project proposes a data acquisition system to monitor and analyze the shock and vibration data along the three axes (horizontal, vertical, axial).During the real time mode the system can be used to monitor either shock or vibration signals from accelerometer representing the shock or vibration data along the three axes is recorded and stores in the NAND flash memories. During the offline mode, data will be retrieved to PC through USB. Retrieved data will be processed and plots will be created using MATLAB.
This study of engine evaluates the vehicle exhaust WHR (waste heat recovery) potential using a Rankine cycle. To this end all the parts of the Rankine cycle used in the engine are designed by using a software, which is described further, basically, the thermodynamic analysis is performed for water R123 and R245fa and all the values of physical properties have been taken from a software. For talking the values from the software, we have connected two software (MATLAB 2019b and REFPRO 9.0) The effectiveness of heat exchanger for organic working fluid (R123 and R245fa) is higher than that of water and can be also considered for use in vehicle WHR applications through Rankine cycle when exhaust gas temperature is relatively low. The performance prediction and optimization of an organic Rankine cycle (ORC) for engine waste heat recovery based on artificial neural networks (ANN). An ANN-based prediction model of the ORC system is established with consideration of mean square error (MSE) and correlation coefficient(R). A concept of backpropagation is considered in this study which is the concept of ANN.we We have trained the data in a software that is explained further by importing the seven parameters with a limited number of input and two outputs for each parameter to the same software from excel. The proposed ANN model shows strong learning ability and good generalization performance. The results confirm the advantages of using the thermal energy contained in vehicle exhaust gases through RCs. Furthermore, the present analysis demonstrates that improved evaporator designs and appropriate expander devices allowing for higher evaporating pressures are required to obtain the maximum WHR potential from vehicle RC systems.
A prototype capable of detecting over speed vehicles running on road, Over speeding vehicle make lot of nuisance sometimes also leading to loss of lives and other damages. Project has two parts hardware part and software part. The central and intelligent unit of the model is arduino. Hardware design includes arduino, liquid crystal display (LCD), GSM, 5v cooling fan is used in place of actual vehicle, IR sensor And software includes the programming of Arduino according to layout whenever there is an over speed vehicle which cross the range of specific fixed RPM of that road then an alert in the form of message is send to the controlling authorities so that they can take necessary action. The sensor units are connected via common data line to ATMEL MEGA328P AU1722 Arduino. A SIM 800C GSM kit based network module, capable of operating in standard. GSM Bands has been used to send alert message. The system is implemented on general purpose printed circuit board (PCB).
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