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IRJET- IoT based Smart BLACK BOX System
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 05 | May 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1512 IoT based smart BLACK BOX System Aishwarya Bhadale1, Chetna Kalbhor2, Rishikesh Khaladkar3 Professor: Pratiksha Patil, Electronics and Telecommunication Engineering, Keystone school of Engineering, Maharashtra, India ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract -The objective of this project is safetyandsecurity of vehicle user and get the insurance. The main aim of project to avoid accident using speed sensor, alcohol sensor, patti switch. speed sensor calculate the speed at which the wheels are rotating. This ultimately determines the speed at which vehicle is traveling. Speed sensor sends the speed information to the control . So that can regulate other function of vehicle. Alcohol sensor check the how much alcohol consume by the vehicle driver. Patti switch indicatesthatdriverwearinga seat belt or not. Depending upon technology is implemented, the vehicle driver will get the notification on his app. If he an accident the data will be send through IOT to the app on mobile for an insurance. When sensor data is monitored and mining is performed it would be possible to predict the good health of vehicle. If we turn on GPS system then it sends a vehicle location through a message on mobile. Using this we can get vehicle location. Key Words: PIC microcontroller, Gas sensor, Alcohol sensor, Patti switch sensor. 1. INTRODUCTION An accident is a unpleasant event that no one ever want to occur in their life. .It ruins the life of many people. The percentage of accident raised the eyebrows and caught the attention. It found that 80% of time is the fault of driver. So avoid the accident in today’s world science has made amazing advances in a car. These cars are more advanced than ever. We have design such a system in which all the parameters which are responsible for accident will get recorded & help us to prevent the accident and according to recorded data the vehicle driver will get insurance. The project is developed to record the informational data such as alcohol level, speed, gas leakage and driver will wearing a seat belt or not etc. It can also use for vehicle mapping & alert with the help of GPS technology, This system utilize the sensor data of car& predicts the health of car. The utilized data provides on local app which alerts the driver. If accident is occured IOT through the reason for accident is provided to the insurance company to get the insurance. According to the reason of accident the driver will get the insurance amount. If we turn on the GPS system it continuously provide the car location through message. When accident occurred it send the message that accident is occurred. 1.1 Literature Survey The literature surveyed some different papers to get information about the existing work which have been done by T.Gayathri, Kargupta, Hillol Vehicle health monitoring system :Vehicle health monitoring utilizes the sensor on data vehicle, minethedata & predicts the health of car. It provide an idea on when the vehicle would need maintenance. The model also can warn driver dozes off or in case of drunkendriving.The purposeof this research paper is to give an overview of the existing vehicle health monitoring system. It gives the different ways in which vehicle health can be monitored. Vehicle monitoring can be distributed or on-board data mining. Computation or mining in vehicle are restricted by less memory and processor capacity, still an on board mining is more advantageous than fully distributed data mining system. This paper survey the existing model for efficient on board vehicle health monitoring system. Uferah Shafi, Asad Safi have following informationof Vehicle Remote Health Monitoring :In many industries inclusive of automotive vehicle industry, predictive maintenance has become more important. It is very difficult to diagnose failure in advance in the vehicle industry because the availability is limited of sensors and some of the designing exertions. An approach is presented in this article for fault reduction of four main subsystems of vehicle, fuel system, ignition system, exhaust system, and cooling system. When vehicle is on the move the sensor collected, both in faulty condition (when any failure in specific system hasoccurred) and in normal condition. HARMAN Ignite Platform(2015)Vehicle health hand diagnostic dashboard: Before the advent of connected vehicles , consumers simply drove their new vehicle out of deals reacted to issue as they arose. After combining diagnostics and connectivity, managers and service providers are able to offer additional services to their customers. Ecosystem provide contextual and advanced services like early field warnings, predictive maintenance, remote diagnostics and repair, fuel management. This reduces operations costs of the vehicle, reaction time to issues, accident liability and fines and also enhances customer experience.
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International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 05 | May 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1513 VEDAS(1) works on the concept of ubiquitous data mining. An in device , real time mining of data on a ubiquitous computing environment in accordance to the environment requirements by considering resource constraints of the device, exploiting context the information behaving autonomously, applying special privacypreservingmethods in VEDAS and mine fleet, partial on board data mining is done. 1.2 Block Diagram and discription Fig -1: Block diagram of proposed system In the proposed system we aredesigninga system whichwill continuously monitor the vehicle parametersandsendthem on Android APP on internet of things (IOT). All the sensors are interfaced to inbuilt ADC 10 bit. The µC will scan all the parameters and send them on Android APP using MQTT protocol. 1) PIC MICROCONTROLLER: Fig -2: PIC microcontroller PIC18F4520-I/P isa40-pinFlash- based32KBmicrocontrollerwith13x10-bitA/D Converter,2xcomparators,UART,A/E/USART,SPI,I2C1- MSSP(SPI/I2C) and ECCP peripherals. Specification: CPU Upto10MIPSPerformanceat3V Compiler optimized RISC architecture 8x8SingleCycleHardwareMultiply System Internaloscillatorsupport-31kHzto8MHzwith4xPLL Fail-Safe Clock Monitor-allows safe shutdown if clock fails Watchdog Timer with separate RC oscillator WideoperatingVoltagerange;2.0Vto5.5VnanoWattP owerManagedModes Run, Idle and SLEEP modes Idlemodecurrentsdownto5.8uAtypical Sleepmodecurrentsdownto0.1uAtypical Analog Features 10-bitADC,13channels,100Ksamples per second Programmable Low Voltage Detection Module Programmable Brown-out-Reset Module Two Analog Comparators multiplexing Peripherals Master Synchronous Serial Port supports SPI™andI2C™masterandslavemode EUSART module including LIN bus support Four Timer modules Upto5PWMoutputs Microcontroller PIC 18F Alcohol CNG sensor Seat belt Speed Sensor Accident sensor LCD Buzzer Wi-Fi Modem Relay Ignition Android App (Local App) Android App (IOT App)
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International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 05 | May 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1514 2)ESP: Fig -3: ESP Espressif Systems’ SmartConnectivity Platform (ESCP) enables sophisticated features including: Fast switch between sleep and wakeup mode for energy-efficient purpose Adaptive radio biasing for low-power operation Advance signal processing Spur cancellation and RF co-existence mechanisms for common cellular, Bluetooth,DDR, LVDS, LCD interference mitigation. Specifications: Operating Voltage 2.5V ~ 3.6V Package Size QFN32-pin (5 mm x 5 mm) Operating Current Average value: 80 mA Operating Temperature Range –40° 3) MQTT PROTOCOL This is simply made for the connections with the remote locations. It is an ISO standard and publish-subscribe-based messaging protocol. It works on top of the TCP/IP protocol. Whenever an accident is detected the µC will send all the data to local APP which will further send the data to IOT based server. On the android APP we have a graphical user interface to display the data. The data is analyzed and then an appropriate notification is displayed on APP, and if the accident is detected then the message will send on the registered mobile numbers. Depending upon the data the APP will continuously monitor the data pattern and as and when any parameter crosses the setpointtheAPP will either display or send a notification to user to take appropriate action so that the vehicle / Engine health is maintained. The main benefits of vehicle health monitoring 1. Reduces unscheduled vehicle downtime through automated remote diagnostics and alerts 2. Just-in-time vehicle maintenance’ saves money on unnecessary maintenance 3. Reduces the risk of accidents, fuel expenses, insurance liability and fines by effective driver behaviour monitoring 4. It integrates with existing backend solutions facilities OTA updates and remote diagnostics. 5. Helps in deploying new services and generating aftermarket service revenue opportunities 6. Improved management of overtime andcostaccounting of jobs through regular review of trip data and overtime dashboard report Table -1: Comparison with existing techniques S R N O Authors Paper Advantages 1 . T.Gayatri Vehicle Health monitoring And prediction system Real time vehicle monitoring 2 . Kargupta, Hillol, et.al. A distributed data streaming and mobile system for real time vehicle monitoring system Vehicle failure prediction 2. CONCLUSIONS With this increasing graph of using smart phones and wireless communication, it is become easy to use this technologies for real time solutions. Despite of the limited resources, these technologies are being used along with machine learning approachestosolve big problems in automotive industry. Our first contribution to this paper is data generation and feature selection.Sensor data of many car manufactures has been used. WE have selected those sensors which can cause a system to break down. And the second contribution is to built a user friendly vehicle fault prediction, vehicle remote health monitoring system. REFERENCES [1] R.Mangharam,J.Meyers,R.Eakumar,D.Stancil,J.Parikh,H. “A multi hop mobile networking test bed for telematics” society for Automotive engineers world congress Detroit, USA. April 2005. [2] DARPA. The DARPA urban challenge, 2007.http://www.darpa.mil/grandchallenge. [3] Kurt Dresner & Peter Stone (2008), Replacing the Stop Sign: Unmanaged Intersection Control, The Fifth
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International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 05 | May 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1515 Workshop on Agents in Traffic andTransportationMulti agent Systems. pp. 94-101, Estoril, Portugal. [4] Kargupta, Hillol, et al. "A mobile and distributed data stream mining system for real-timevehiclemonitoring." Proceedings of the 2004 SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics, 2004. [5] Kargupta, Hillol, et alNew Generation Computing 25.1 (2006): 5-32. [6] Kargupta, Hillol. "Onboard vehicle datamining social networking, advertisement." U.S. PatentNO.8,478,514.2 JUL.2013 [7] Stewart, Gilbert W. "Matrix perturbationtheory” (1990) [8] Basilevsky. Statistical factor analysis and related Methods:theory and application ,1994.
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