remote monitoring of vehicle diagnostics
TRANSCRIPT
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Remote Monitoring of VehicleDiagnostics
Arjun Sajeev
09MMT002
Project Guide
Prof. S. Senthil Kumar
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Objectives
To build a prototype wireless vehicle/mobile dataacquisition system and test its feasibility forcommercial use.
To develop a data transmission system, that collectssensor data and transmits it intermittently over awireless link.
To develop software/hardware needed to receive thetransmitted data, and display it as a log, on a remote-PC.
To develop an algorithm that analyzes the receiveddata that enable to diagnose/detect faults. (Off-boardDiagnostics)
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Motivation
Medium state monitoring: to achieve medium
pressure, liquid level, gas leakage and
temperature detection. (Eg: Freight trucks)
Speed Regulation (In-vehicle instead of police
checkpoints)
Data acquisition application in Military and
Defense sectors
Theft detection/Vehicle lock-down
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Assessment of Wireless Transmission
Schemes
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Choice of medium for wireless
communication:
We choose Zigbee because of the low power
consumption and low cost requirement.
Range is limited but the project aims atbuilding a prototype network, which can later
be expanded to increase range.
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Smart Box Design Objectives:
To develop onboard Smart Box that captures 4running parameters such as: Intake manifold pressure
Engine coolant temperature
Engine RPM
Fuel Level
Required data rate: 2 data points per second
Data should be transmitted through the on-board
transceiver. Smart box should be made rugged as it will be
susceptible to practical operating conditions such asheat, vibration, etc.
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Proposed hardware specifications for
the Smart Box
PIC18LF4585/23 microcontroller
Zig bee communications module XBEE(transceivers x 2)- serial communication
PCB with required MAX232 drivers, etc
LM35 temperature sensor
695A Pressure sensor
Speed Sensor
Level Sensor
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Transmitter Block Diagram
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Receiver Block Diagram
Zigbee receiver
Demodulator circuit
Max232 interface
PC and GUI(LabView/MATLAB)
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PIC18LF4585
SPI and UART Interfaces
10 bit A/D conversion
24Kx16 Program memory
3.25Kx8 RAM memory
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Data Analysis
By comparing received sensor values with lookuptables that list permissible limits, error can becalculated.
This analysis can be carried out using Markovchains/Artificial Neural Networks/Fuzzy Logic.
Eg:
Anomalous changes in acceleration can indicate problemswith the power train. Diagnosis: Possible Gearboxmalfunction.
High coolant temp. could indicate overheating problems.Diagnosis: Possible Cooling fan malfunction.
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Plan ofAction
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Conclusion
A successful remote data acquisition system fordetecting vehicle faults will be developed thatwill:
Be robust to harsh environmental operatingconditions
Have low latency
Provide accurate diagnosis/prognosis based on the
received sensor data Have scope for future expansion work such as:
integration of GPS data for vehicle position data
switching to transmission methodologies such as GPRS/GSM
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References
Lu Xutao and Cui DongSen, Design of Transport Vehicles RemoteMonitoring System. 2nd International Conference on EducationTechnology and Computer, 2010.
Majid A. Al-Taee, SMIEEE, Omar B. Khader, Nabeel A. Al-Saber Remote Monitoring of Vehicle Diagnostics and Location Using a
Smart Box with Global Positioning System and General Packet RadioService. IEEE Transactions. July2007.
Tim Pieper, A Wireless Data Acquisition System (Project Report-Bradley University). May 2008.
Jean Paul Talledo Vilela, Student Member, IEEE, Jose CarlosMiranda Valenzuela, Member, IEEE. Design and Implementation ofa Wireless Remote Data Acquisition System for MobileApplications. Research Center for Automotive Mechatronics, Toluca