Project presentation

29
Wireless,Self-Powered Vibration Monitoring System for Bangkok Mass Transit System GROUP-02 Niraj Bhujel Umar Ali Upeka De Silva

Transcript of Project presentation

Wireless,Self-Powered Vibration

Monitoring System for Bangkok

Mass Transit System

GROUP-02Niraj BhujelUmar AliUpeka De Silva

Outline

● Introduction● Business Need● Approach● Product Description● Assumptions and Constraints● Scope: Project Charter, Mind

map● Organizational Structure● Work BreakDown Structure● Project Schedule: PDM

● Project Schedule: Gantt Chart● Project Budget● Performance Monitoring:EVM● Cost-Benefit Analysis● HR : RACI Chart● Risk Analysis● Quality : Checklist● Procurement Plan● Communication Plan

Introduction● Bangkok Mass Transit System Public Limited

● electric mass transit railway system● 47 Trains

● Objective:● Installation of Vibration Energy Harvester based Wireless Sensor

Networks in 5 Trains

● Estimated Outcome● Reduction in Maintenance time and cost ● Increase Safety

Business Need● Increasing demand of safety in railways

● Reduction in maintenance cost and time of railways parts

● Shift from “Maintenance on Mileage” to “Maintenance on Need”

● Reduction of cost on spare parts (axles and wheels) by 10,000 USD per train per year.

http://www.albion-ventures.co.uk/portfolionew/perpetuum-wins-contract-supply-southeastern-railways-energy%C2%A0

Approach● Sensors

● Vibration and Temperature

● Requires an approx. average power of 3mW that can be produced from 40-50 mg of Vibration

● Communication

● Wireless communications to link the Sensor Nodes with a Data Concentrator and 3G connection to the central server

● Power

● Powered by vibration energy harvester.

● Data Display

● Patterns of vibration and temperature

● Alarm and Notification

Product Description

NO: Normal NW: Normal Worn IR: Inner Race Fault

Assumptions and Constraints

● Maintenance and operation time frame of trains should be adjusted for the

required sensor network installation and testing.

● Approximately, 1 Month monitoring period is required to monitor sensor

readings to calibrate and fine tune the threshold values.

● External factors such as excess noise level can impact the sensor performance and calibration procedure should handle them.

Organizational Breakdown Structure

Work Breakdown Structure

Project Schedule - PDM

Project Schedule- Gantt Chart

Project Budget :Activity Cost Estimation

Project Budget

BAC : $118,400Management Reserve : $11,840 (10% of BAC)Project Budget : $130,240

Duration : 100 days (approximately)

Performance Monitoring

Performance Monitoring-EVM (0/100 method)

BAC: $118,400AC: $123,600

Planned duration: 100 days

Actual Duration: 105 days

Cost Benefit Analysis

Year Cash Inflows Cummulative Cash Flow Present Value

0 (123,600.00) (123,600.00) (123,600.00)

1 50,000.00 (73,600.00) 45,454.55

2 50,000.00 (23,600.00) 41,322.31

3 50,000.00 26,400.00 37,565.74

4 50,000.00 76,400.00 34,150.67

Net Present Value 34,893.27

Average Annual Profit 19,100.00

ROI 15.45

Interest Rate: 10%

Revenue is from saving from reduction in maintenance (10,000 USD per train per year)

http://www.albion-ventures.co.uk/portfolionew/perpetuum-wins-contract-supply-southeastern-railways-energy%C2%A0

HR:RACI CHART

R:ResponsibleA: AccountableC:ConsultI: Inform

Risk Analysis :RBS

Risk Impact Analysis Risk ID Project Risk

Probability Scope Cost

Schedule Quality

R1.1 Possible defects in sensor 0.4 H H

R1.2Impact of noise condition for sensor performance 0.5 H

R1.3 Impact of defects on server system 0.2 M H

R1.4 Data monitoring period may overrun 0.6 M H

R1.5 Security threats for sensor network 0.3 L

R1.6 Interference to Wifi connection 0.4 M

R1.7

Service impact when connecting new network with existing O&M data com network 0.3 M

R1.8 Connection reliability of 3G network 0.3 H

R2.1 Impact of bad weather 0.4 M M

R2.2 Delay with suppliers 0.4 L H

R2.3 Natural Disaster 0.3 H H H H

R3.1 Policy changes 0.4 L

R4.1 Change of staff members or resign 0.4 L L

R4.2 Scope Creep 0.3 H H H

Risk Register

Risk ID Cause Event Effect Likelihood Response

R1.1Component failure

Loss of data from sensors

Acceptance test failure

LikelyBackup storage of sensors and replace

R1.2Environmental Factors

Increase in Noise level

Poor data quality LikelyApply data cleansing

R1.4No enough data for calibration

Long Calibration period

Project extension LikelyInform to stakeholder

R2.2Delay in shipments

Delay with suppliesDelay in project deliverables

LikelyEarly order and follow up

SWOT Analysis

Strength

Built-in analytics and alarming capabilities

Scalable

Self powered sensor network

Remote monitoring and visualization system

Weakness Periodic calibration

Opportunity

Automated monitoring system

Operational cost reduction

First deployment in South East Asia

High safety

Threat Loss of maintenance data

Quality ChecklistProject Name:

QUALITY CHECKLIST

Main Item Sub Item Verification Method Y N NA Date Remark

1Quality of Central server network

Rack and server installationShould follow the installation guideline provided by the vendors

CablingShould follow the installation guideline provided by the vendors

2Quality of Wireless Sensor Network

Sensor, harvester and communication module installation

Should follow the installation guideline provided by the vendor

Error free sensor data receive rate. Using system KPI reports.

3 Security of the system

Datacom network security Check VPN Connection

Security of sensor network Enable Encryption protocols

Automatic Backup Check configuration and result

4 DocumentationProvide user manuals Check document versions

Provide network diagrams, connectivity diagrams Continuous review and update

Procurement Plan - TOR

Item Description Qty

Energy Harvesters

The energy Harvester with feed power to the wireless sensors up to 20 mW (4mA, 5 V) It should operate on industrial operating range : -40 to +85 degree celsius. Should compliance with FCC regulations.

60

Wireless Sensors

Should support measurement of Temperature, Vibration and AccelerationShould transmit continuous data at fixed collection intervalsFlexible power with replaceable battery module and external power module

60

Monitoring Software

Equipped with toolset to view data of machine condition for 30 daysPlotting tools to view data on bar graph and pie chart.Should be able to access from web GUI

1

Server The monitoring server should have the following minimum requirement;2.83 GHz Intel Xeon Processor2 GB RAM, 250 GB hard disk driveAvailable USB port, VD-ROM driveWindow Server 2008 R2 x64

1

Procurement Plan● Type of Contract: Firm Fixed price contract

● With BTS we have the Fixed price contract

● With the vendor where we purchase required platform also, we have Fixed price contract.

● Currency : Everything will be dealt in USD (US Dollars)

Procurement Plan Vendors

Vendor selection criteria● Price● Technical specification of product● Seller’s portfolioVendors considered● Texas Instrument● Perpenduum● General Electric → Selected Vendor

○ Previous Business use and clear road path

Communication Plan

Audience Information Method Frequency Responsible Person

Project Team Daily project progress Email Daily Project Manager

Project Team, Project Administrator Detail Project Progress

Face-to-face Meeting Weekly Project Manager

Project Administrators and Stakeholder

Milestone completions

Face-to-face Meeting Milestone

DateProject Manager

Video conferencing

VendorsFollow up Purchase Orders

Email When required

Project Administrators

Video conferencing

Q & A

Thank You

References1. http://www.railwaygazette.com/news/technology/single-view/view/metro-trains-melbourne-to-test

-vibration-harvesters.html2. http://www.perpetuum.com/rail/key-technology.asp3. http://europa.eu/rapid/press-release_MEMO-14-364_en.htm4. http://www.ge-mcs.com/en/bently-nevada-functional-safety-certified-products/390-functional-saf

ety-certified-products-monitoring/2952-siweb-pl2952.html5. Asoke K. Nandi, Chao Liu, and M. L. Dennis Wong, Intelligent Vibration Signal Processing for

Condition Monitoring,Department of Electronic and Computer Engineering Uxbridge, UB8 3PH, United Kingdom

6. http://www.perpetuum.com/rail/7. Video on data analysis software: http://bcove.me/qrw16913