University Project Proposal: Wildfire Control Data Management System

This project proposal outlines a comprehensive plan for a Wildfire Control Data Management Project. The project aims to develop a system that leverages data analysis and big data analytics techniques to assist authorities in controlling wildfires in Australia. The objectives include analyzing climate data, predicting potential wildfires, and providing real-time monitoring capabilities. The project implementation involves collecting weather and climate data, performing analysis, and developing a system to provide information and recommendations. The project will involve a project group with expertise in Python programming and big data analytics. The system's monitoring and evaluation will involve regular checkups and data monitoring, with updates as needed. The budget is provided, and the beneficiaries are the authorities responsible for wildfire control and the general public. The project proposal includes a detailed work plan, budget, and bibliography.

Running head: PROJECT PROPOSAL
Project Proposal
Name of the Student:
Name of the University:
Author Note

1
PROJECT PROPOSAL
Table of Contents
II. OBJECTIVES.............................................................................................................................2
A. Development objectives........................................................................................................2
B. Immediate objectives............................................................................................................3
III. PROJECT IMPLEMENTATION AND MANAGEMENT PLAN...........................................3
A. Expected project results........................................................................................................3
B. Project activities and work plan..............................................................................................3
C. Project Beneficiaries...............................................................................................................5
B. Implementing agent management of project........................................................................5
IV. PROJECT MONITORING AND EVALUATION...................................................................5
V. BUDGET....................................................................................................................................5
VI. PROJECT APPROVAL............................................................................................................7
Bibliography....................................................................................................................................8

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PROJECT PROPOSAL
I. BACKGROUND AND JUSTIFICATION
Project Name Wildfire Control Data Management
Project Sponsor
Author(s)
Priority
Date:
Presentation to Computing Committee
Name of Committee Date of Presentation
☐ Administrative Computing Committee
☐ Teaching and Learning Computing Committee
☐ Research Computing Committee
The project is concerned with the wildfire. The main concept is to make a thorough
analysis of the data and provide assistance to the authorities about the possible recommendations
of preventing the wildfire in Australia.
II. OBJECTIVES
A. Development objectives
The main objective of the project is to create a system that would help in controlling the
wildfire taking place in Australia. This can be done by performing analysis on the climate
and other dynamics of the country. And hence, suggest preventive measures in order to help
the authorities in controlling the wild fires.

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PROJECT PROPOSAL
B. Immediate objectives
The immediate objective in this project is to collect information regarding the weather
conditions and climate in Australia and perform analysis on the data using the big data
analytics technique.
III. PROJECT IMPLEMENTATION AND MANAGEMENT PLAN
A. Expected project results
On the completion of the project the developed system should be able to provide information
about the current metallurgical data and monitor the wildfire situation. Additionally, the system
should also be able to predict possible wildfire using the real time- sensor data.
B. Project activities and work plan
The project activities and the project schedule are provided below:
Task Name Duration Start Finish Predecessors
Wirefire Implementation 49 days Wed 4/18/18 Mon 6/25/18
Project Initiation 8 days Wed 4/18/18 Fri 4/27/18
Project Proposal 7 days Wed 4/18/18 Thu 4/26/18
meeting with the clients 1 day Fri 4/27/18 Fri 4/27/18 2
Requirement Analysis 7 days Mon 4/30/18 Tue 5/8/18
Background Analysis 3 days Mon 4/30/18 Wed 5/2/18 3

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PROJECT PROPOSAL
Platform Identification 2 days Thu 5/3/18 Fri 5/4/18 5
Hardware and Software
Requirement Identification
2 days Mon 5/7/18 Tue 5/8/18 6
Analysis Completion 0 days Tue 5/8/18 Tue 5/8/18 7
Project Planning 7 days Wed 5/9/18 Thu 5/17/18
Development of project Plan 5 days Wed 5/9/18 Tue 5/15/18 8
Development of procurement
plan
2 days Wed 5/16/18 Thu 5/17/18 10
Finalizing Project Plan 0 days Thu 5/17/18 Thu 5/17/18 11
System Implementation 20 days Fri 5/18/18 Thu 6/14/18
Hardware installations 5 days Fri 5/18/18 Thu 5/24/18 12
Software Integration 8 days Fri 5/25/18 Tue 6/5/18 14
Algorithm development 7 days Wed 6/6/18 Thu 6/14/18 15
Completion of project
implementation
0 days Thu 6/14/18 Thu 6/14/18 16
Risk Management 6 days Fri 6/15/18 Fri 6/22/18
risk analysis 2 days Fri 6/15/18 Mon 6/18/18 17
risk identification 2 days Tue 6/19/18 Wed 6/20/18 19
risk mitigation 2 days Thu 6/21/18 Fri 6/22/18 20

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PROJECT PROPOSAL
Completion of risk management 0 days Fri 6/22/18 Fri 6/22/18 21
Project Completion 1 day Mon 6/25/18 Mon 6/25/18
Project Delivery 1 day Mon 6/25/18 Mon 6/25/18 22
Project Sign Off 0 days Mon 6/25/18 Mon 6/25/18 24
C. Project Beneficiaries
The main beneficiaries of the project would be the authorities in Australia that are
responsible for the monitoring and controlling the wildfires in Australia. The common mass in
the country would also be benefitted from the system as they would also be helped in case of
emergencies.
B. Implementing agent management of project
A project group would be unified for the implementation of the project by acquiring
personnel’s from different backgrounds. The personnel would need to be adept on the Python
programming as well as team should also possess people having knowledge on big data
analytics.
For the implementation of the project the various metallurgical instruments are to be used
and the instruments are to be used for the recording of the data. In addition to this, a data
storing platform is also required for the system to be implemented. The collected data is to
set up for analysis using the big data analytics tool.

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PROJECT PROPOSAL
IV. PROJECT MONITORING AND EVALUATION
After the implementation of the project the developed system should be monitored
efficiently. The authorities should schedule repetitive checkups on the system and should also the
monitor the data regularly. In disturbances in the data would mean that there are errors in the
data or the system. Hence the evaluation of the system is to be done accordingly and the updates
would be installed whenever required.
V. BUDGET
The budget for the completion of the project is provided below:
Task Name Cost
Wire fire Implementation $17,460.00
Project Initiation $1,920.00
Project Proposal $1,680.00
meeting with the clients $240.00
Requirement Analysis $2,760.00
Background Analysis $1,320.00
Platform Identification $880.00
Hardware and Software Requirement
Identification
$560.00
Analysis Completion $0.00
Project Planning $1,680.00
Development of project Plan $1,200.00
Development of procurement plan $480.00
Finalizing Project Plan $0.00

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PROJECT PROPOSAL
System Implementation $7,820.00
Hardware installations $2,200.00
Software Integration $2,370.00
Algorithm development $3,250.00
Completion of project implementation $0.00
Risk Management $3,040.00
risk analysis $880.00
risk identification $880.00
risk mitigation $1,280.00
Completion of risk management $0.00
Project Completion $240.00
Project Delivery $240.00
Project Sign Off $0.00
VI. PROJECT APPROVAL
Approval Date
Ranking
Comments/Notes
PMO Review
Computing Committee
Review