Adil Khan 10 months ago
AdiKhanOfficial #FYP Ideas

Portable Condition Monitoring Unit

As century passed and industry revolution become more and more advanced also human being?s life become more efficient and advanced. Also it is advanced time as Real Time system Wi-Fi or Cloud system, so it is need for our save our data. So, we are presenting Portable Condition Monitoring Unit (PCMU)

Project Title

Portable Condition Monitoring Unit

Project Area of Specialization

Internet of Things

Project Summary

As century passed and industry revolution become more and more advanced also human being’s life become more efficient and advanced. Also it is advanced time as Real Time system Wi-Fi or Cloud system, so it is need for our save our data. So, we are presenting Portable Condition Monitoring Unit (PCMU), which will monitor and predict health of industry 4.0. The authors are introducing eight (8) different parts of machines which effect health of plant or machine i.e. Temperature, Vibration, Acceleration, Humidity, Pressure, Magnetic Field, Noise and Gyroscope. By applying these methodologies and giving machine learning to any   industrial machine or plant, it can increase maintenance and health as well as efficiency of industry.

Project Objectives

Our project Portable Condition Monitoring Unit (PCMU) is used for both Condition monitoring as well as Predictive Analysis.

In Condition Monitoring, by monitoring the health of critical equipment we minimize our customer’s exposure to unplanned machinery downtime and thereby improve their profitability. It’s better than insurance.

While, in Predictive Maintenance, which is also very helpful for the machine’s life. When we know the future condition of any machine we will be able to overcome the problem of any machine.

As PCMU when connected to any industrial machine, it will update the condition as well as predictive analysis via Wi-Fi using simple Mobile Phone. As we are using multi-sensor device which has eight different parameters of machine which are as follows: acceleration, angular velocity and magnetic fields, as well as environmental conditions i.e. temperature, humidity, light, air pressure and noise.

Project Implementation Method

Our Methodology is not bound by storage space or short range. What we basically do in our methodology is interconnection of different sensors (machine dedicated). Sensors that we are using are as follows: Temperature, Humidity, Pressure, Noise, Accelerometer, Digital Light sensor, Gyroscope and Magnetometer.

Our methodology have two steps, having Condition Monitoring as well as Predictive Analysis or maintenance.

In our 1st step, device that is sensor based, connected to the machine, sensors configuration is machine dedicated. Data is transferred via Wi-Fi module and real time condition of machine will show on mobile phone via android App as well Laptop.

While, in the 2nd step this transferred data is collected and send to cloud for the backup storage of data. We will train our machine according to collected data via artificial intelligence and then we’ll make different models which will do predictive analysis of machines accordingly.

Benefits of the Project

One of the main benefit is, a place where normal human can feel insecure life because of heavy voltage or current or compact place so by making life secure, so by plugging PCMU on machine or plant, we can monitor and predict life of machines.

Also, we are in 21st century where almost everything is going automated, industry 4.0 is also coming on IoT based. In future it will be very helpful for industrial revolution. So, that we are providing an efficient portable device which will provide up to date and real time conditioning and predictive maintenance via Wi-Fi using mobile app or laptop.

Technical Details of Final Deliverable

In final deliverable, we are presenting a portable device which is called Portable Condition Monitoring Unit (PCMU) with multi-sensors having two different configurations, with Wi-Fi enabled via mobile app and laptop also used machine learning (Linear Recursion) for predictive analysis.

Final Deliverable of the Project

HW/SW integrated system

Type of Industry

IT , Medical , Agriculture , Food , Energy , Manufacturing , Others

Technologies

Internet of Things (IoT)

Sustainable Development Goals

Affordable and Clean Energy, Industry, Innovation and Infrastructure

Required Resources

Item Name Type No. of Units Per Unit Cost (in Rs) Total (in Rs)
Arduino Uno Equipment1840840
Arduino Mega Equipment114601460
Surili Wi-fi Equipment118001800
DHT-11 Equipment5190950
ESP8266 Equipment110501050
GY-87 Equipment215603120
BMP 280 Equipment2480960
MPU 6050 Equipment46302520
Light Sensor Equipment211702340
TMP-006 Equipment2360720
Noise Sensor Equipment26301260
Solder Equipment1870870
Solder wire Equipment1220220
Solder Paste Equipment1130130
Solder Gun Equipment132003200
PCB Board Equipment26901380
Acid (kg) Equipment1350350
Connectors (Male to Female and Male to Male) (in set) Equipment44001600
Connecting Wires (in meter) Equipment625150
Box-1 Miscellaneous 118001800
Box-2 Miscellaneous 122002200
Panaflex (5x3,3x2.5, Standee) Miscellaneous 113001300
Brochure Miscellaneous 35953325
Thesis Binding Miscellaneous 1950950
Petrol (litre) Miscellaneous 4100400
TTL to USB Equipment1320320
Header double Equipment445180
Total in (Rs) 35395
If you need this project, please contact me on contact@adikhanofficial.com
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