WEEK 14

WEEK 14

DATE: 13/5/2019
SUPERVISOR: SIR SHAH RIZAILLI BIN MUKHTAR
👉  PREPARING FINAL YEAR PROJECT 1 REPORT PROPOSAL 

Activities

• Update the literature review for FYP 1 report. The article that I have reviewed are ' Development of Medical Equipment Alarm Monitoring System', ' A New Sensor Uses Sound to Diagnose Faults in Industrial Machinery', ' Medical Device Alarms Pose Safety Issues for Hospitals', ' Internet of Medical Things Devices Demand Dynamic Networks', 'Detection System of Sound Noise Level(SNL) based on Condenser Microphone Sensor' and I also compared on the sound sensor that is suitable to be used for this project. These are all the articles that related to my project. By studying these articles, I have the idea on the flow in developing this prototype.
• In the article review, I have summarize all the information that I get from the articles. So, it is easier to know the focus of those articles.

Literature Review Summary

Title	Development of Medical Equipment Alarm Monitoring System	Detection System of Sound Noise Level(SNL) Based on Condenser Microphone Sensor	A New Sensor Uses Sound To Diagnose Faults In Industrial Machinery	My Project: Detection of a False Alarm Characteristic Error
Author and Year	Yoshinori Yamashitaa , Tatoku Ogaitoa , Shingo Kasamatsua, 2013	Juniastel Rajagukguk and Nurdieni Eka Sari, 2018	Sinc La Ciencia es notisia, 2014	2019 (Currently)
Aims	To provide a system that able to gather alarm from various medical equipments.	The research aims to know the noise level of the environment.	The paper  study on the potential of wireless sensors to detect minute fissures in industrial machinery by the ultrasonic waves .	To develop an alarm sound detection system that able to update status of the medical equipment through smartphone .
Input	Medical device alarm sound.	Noise from the environment.	Detect ultrasonic waves emit from the machine.	Medical equipment alarm sound.
Sensor	_	Condenser microphone  sensor	Ultrasonic sensor	Sound sensor
Microcontroller	_	Arduino Uno	_	Arduino Uno
Network  Connection	IEEE 802.15.4(ZigBee) radio module	_	Central computer	WiFi
Output	Obtain the type, time and place of the medical equipment.	The noise level will be displays on the LCD screen.	Capture the normal state of operationor if there is fault due to internal fracture of part of the machine.	Information on the faulty part of the medical equipment.