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MACHINE TO MACHINE COMMUNICATION DEVICE DEVELOPMENT FOR MEDICAL APPLICATIONS AND DISASTER MANAGEMENT Dikshya Shree Rath Department of Electronics and Communication National Institute of Technology, Rourkela

Final yr proj ppt

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Page 1: Final yr proj ppt

MACHINE TO MACHINE COMMUNICATION DEVICE

DEVELOPMENT FOR MEDICAL APPLICATIONS

AND DISASTER MANAGEMENT

Dikshya Shree Rath Department of Electronics and CommunicationNational Institute of Technology, Rourkela

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OVERVIEW• Literature Survey• Introduction to M2M :

What is M2M?Why M2M?Concerns and issues of M2M M2M architectureApplications

• Software used and System Requirements• Hardware used• Proposal• Implementation till now• Block Diagrams and Results

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LITERATURE SURVEY• David J. Foran and Laura A. Goodell and Robert L. Trelstad,” A Distributed

System for Medical consultation and Education” Member, IEEE May 1, 2004

• Luca Bedogni, Angelo Trotta, Marco Di Felice, Luciano Bononi , ”Machine-to-Machine Communication over TV White Spaces for Smart Metering Applications” , Department of Computer Science and Engineering, University of Bologna

• Gil-Yong Lee,1 Nam-Yeol Yun,1 Sung-Chul Lee,2 and Soo-Hyun Park “A Smart Electronic Tagging System Based on Context awareness and Machine-to-Machine Interworking“ Accepted 9 August 2013(Research article)

• Kwang-Cheng Chen , Shao-Yu Lien “Machine-to-machine communications: Technologies and challenges” 16th march 2013

• White Paper on "Machine-to-Machine Communication (M2M)”

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What Is M2M?

Machine to Machine (M2M) refers to technologies that allow both wireless and wired systems to communicate with other devices of the same type.

M2M uses a device (sensor, meter, etc.) to capture an ‘event’ (temperature, inventory level, etc.), which is relayed through a network (wireless, wired or hybrid) to an application (software program), that translates the captured event into meaningful information

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WHY M2M??

• Stay connected with your technical devices and systems

• Remote management, monitoring and notification capabilities

• Automate and optimize processes• Monitor present conditions• Identify critical situations

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• The M2M System should be flexible in supporting more than one naming scheme.

• Dealing with increased security threats and vulnerability.

• Expenses need to be minimized.• Maintenance and continuous

monitoring.

CONCERNS AND ISSUES OF M2M

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M2M ARCHITECTURE

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APPLICATIONS

• Security • Tracking & Tracing • Payment• Health • Remote Maintenance/Control • Metering • Manufacturing• Facility Management

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SOFTWARE USED

SIMULINK R2013BSimulink developed by MathWorks is a dataflow graphical programming language tool for modelling, simulating and analyzing multidomain dynamic systems.

SYSTEM REQUIREMENTS• MATLAB R2013b installed with the Simulink support packages for

Raspberry Pi downloaded and configured• Raspberry Pi with the OS (Raspbian wheezy) booted in the SD card• Ethernet cable and Micro SD card.

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HARDWARE USED

RASPBERRY PI

Raspberry PI is a credit card sized single board computer developed by Raspberry PI Foundation, UK

Features:-• 700MHz Processor• 256 Mb RAM• Level 2 Cache is 128Kb• Ethernet port available• 2 USB ports• HDMI port

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PROPOSAL:MODEL AND APPLICATION

• To design a Machine to Machine device that will take data from the pulse/heart rate or temperature of a human being measured and sent to one monitoring device via LAN as digital data and the samples will be analysed for a threshold level .

• If it exceeds it then person will not be allowed to drive the vehicle for these results will be compared with the parameters of a human body after alcohol consumption. This incorporates medical and disaster applications both.

• The data can be sent to medical professionals at the back end and the person can be warned of the health hazards as well as incorporating this will regulate and reduce the number of road accidents that take place due to reckless and drunk driving .

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IMPLEMENTATION TILL NOW

• Installation of support packages for Raspberry Pi in Simulink.• Configuring the Raspberry Pi to the Electronics Department

Internet Network.• Running the image inversion algorithm in Raspberry Pi. Captured

the image on my laptop, connected USB webcam on Raspberry Pi and sent the image to this cam via Simulink model and LAN. • Took output from the GPIO (General purpose Input output) pins

and checked the voltage and glowed a LED• Gave input to the GPIO pins via a button and tried to check the

output of another pin

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Taking output from a GPIO pin and giving to LED

Giving input to one GPIO pin and taking output from another

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This video shows how the Raspberry Pi and my laptop were communicating after the Simulink Model was dumped. The devices were connected via LAN of the Electronics Department. The board gave an inverse logic as the LED glowed when the switch was released.

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THANK YOU !!!!