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Design and Implementation of Weather Prediction System for Air Transport industry

Design and Implementation of Weather Prediction System for Air Transport industry

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Reference ID: PS-5182-TM

DEDICATION

This research material titled “Design and Implementation of Weather Prediction System for Air Transport industry” is dedicated to God for his enabling grace, and to all computer enthusiasts who contributed to make life a pleasant experience during my research documentation.

ACKNOWLEDGEMENT

I extend my sincere gratitude to all those who contributed to the completion of this project. Special thanks to my Supervisor (Name of your Supervisor), the Head of Department (Name of your HOD), the Lecturers in the department of Computer Science (CS), Book Authors and Profound Scholars of existing or related project material on “Design and Implementation of Weather Prediction System for Air Transport industry” for their invaluable guidance, support, and expertise throughout the journey.

I am also grateful to your study area (mention any funding organizations, if applicable) for their financial assistance. This research would not have been possible without the encouragement and assistance of some stakeholders (mention any mentors, teachers, or colleagues). Additionally, I would like to acknowledge the understanding and patience of my family and friends during this endeavor. Your unwavering support has been a constant source of motivation. Thank you all for being part of this meaningful endeavor.

TABLE OF CONTENTS

PRELIMINARY PAGES


CHAPTER ONE

INTRODUCTION


    CHAPTER TWO

    LITERATURE REVIEW

    • 2.1 Introduction

    CHAPTER THREE

    SYSTEM ANALYSIS AND DESIGN

    • 3.1 Methodology Adopted
    • 3.1.1 Problem Identification Using SSADM
    • 3.2 Analysis of the Existing System
    • 3.2.1 Dataflow of the Existing System
    • 3.2.2 Disadvantages Of The Existing System
    • 3.2.3 Weakness of the existing System
    • 3.3 Feasibility Study
    • 3.3.1 Economic Feasibility
    • 3.3.2 Technical Feasibility
    • 3.3.3 Operational Feasibility
    • 3.4 Analysis of the Proposed System
    • 3.4.1 Data Flow Diagram of the Proposed System
    • 3.4.2 Advantages of the Proposed System
    • 3.4.3 Justification of the Proposed System
    • 3.5 Functional Requirements
    • 3.5.1 Use Case Diagram Of The Admin / User Privileges
    • 3.6 Data Requirements
    • 3.7 High Level Model of the Proposed System

    CHAPTER FOUR

    SYSTEM DESIGN AND IMPLEMENTATION

    • 4.1 Objectives of the Design
    • 4.2 Cohesion and Decomposition High level Model
    • 4.3 Control Center / Overall Dataflow Diagram
    • 4.3.1 Proposed System Operation Flowchart
    • 4.4 System Specification and Design
    • 4.4.1 Input and Output Specification
    • 4.4.2 Database Specification and Design
    • 4.4.3 Data Dictionary
    • 4.5 Choice and Justification of Programming Language
    • 4.6 Program Documentation
    • 4.7 Implementation Techniques
    • 4.7.1 System Testing
    • 4.8 Programming Module Specification
    • 4.8.1 Installation
    • 4.9 Computer Hardware Minimum Requirement
    • 4.10 Software Requirement
    • 4.11 Personnel / User Training
    • 4.12 File Maintenance Module

    CHAPTER FIVE

    SUMMARY, CONCLUSION AND RECOMMENDATION

    • 5.1 Introduction
    • 5.2 Summary
    • 5.3 Conclusion
    • 5.4 Recommendation

    REFERENCES

    APPENDIX A - “SOURCE CODE”

    APPENDIX B - “OBJECT PROGRAM”

    ABSTRACT

    Design and implementation of weather foresting package for aviation industry is discussed in this research work using Sam Mbakwe Airport, Owerri − Imo State as a case study. With its objectives research work as follows: To help aviation meteorologists issue accurate weather forecast. To enable aviation industry to make decision on control based on information given etc. This research work reviews the background and general idea of weather forecasting which motivated me to go into the research work and problem faced by aviation industry. Inaccuracy issue of weather forecast the use of manual methods in weather forecast and also in storing or keeping records and its analysis. Some of the methods used in forecasting are as follows: Persistence method, synoptic forecasting, statistical method, synoptic forecasting, statistical method, all narrowing or suggesting better ways of weather forecasting. The language used in this research was visual basic 6.0 that gave the resultant effect of design and implementation of the weather forecasting package that will make forecast of weather conditions faster, accurate and reliable in our society.


    Design and Implementation of Weather Prediction System for Air Transport industry

    CHAPTER ONE

    1.0 Introduction

    Every day, millions of weather − based economic decisions are made in transportation, agriculture, power, construction, and other sectors of the economy. Weather conditions affect the entire economy in many ways both directly and indirectly, Better weather forests bring economic opportunities to almost every sector of the economy.

    Weather forecasts re critical to the commercial and private transportation sector, including airline, shipping and trucking industries, nationally and internationally. Airlines, for example rely on short term forecasts to best position their aircraft and adjust flight routes.

    1.1 Background Of The Study

    The art of weather forecasting began with early civilizations using reoccurring astronomical and metrological events to help them monitor seasonal changes in the weather (MISTIC House, 2008) Around 650 BC the Babylonians tried to predict short term weather changes based on the appearance of clouds and optical phenomena such as haloes. By 300B.C Chinese astronomers had developed a calendar that divided the year into 24 festivals, each festival associated with a different type of weather.

    Around 340 B.C the Greek Philosopher Aristotle wrote Metrological, a philosophical treatise that included theories about the formation of rain, clouds, hail, wind, thunder, lightening, and hurricanes. In addition, topics such s astronomy, geography and chemistry were also addressed. Aristotle made some remarkably acute observations concerning the weather, along with some significant errors. And his four− volume text was considered by many to be the authority of weather theory for almost 200 years. Although many of Aristotle’s claims were erroneous, it was not until about 17th century that many of his ideas were overthrown. Throughout the centuries, attempts have been made to produce forecasts based on weather lore and personal observations.

    However, by the end of the Renaissance, it had become increasingly evident that the speculations of the natural philosophers were inadequate and that greater knowledge of the necessary to further our understanding of the atmosphere (Wilson,2007). In order to do these instruments were needed to measure the properties. The atmosphere, such as moisture, temperature, and pressure. The first known design in western civilization for a hygrometer an instrument to measure the humidity of air was described by Nicholas Cusa (C.1401 − 1464, German) in the mid fifteenth century. Galileo Galilsi (1564 − 1642, Italian) invented an early thermometer in 1592 or shortly thereafter, and Evangelista Torricelli (1608 − 1647, Italian invented the barometer for measuring atmospheric pressure in 1643.

    While these meteorological instruments were being refined during the seventeenth through nineteenth centuries, other related observational theoretical and the technological developments also contributed to our knowledge of the atmosphere, and individuals at scattered locations began to make and record atmospheric measurements. The invention of the telegraph and the emergence of telegraph networks in the mid nineteenth century allowed the routine transmission of weather observations to and from observers and compilers. Using these data, crude weather maps were drawn and surface wind patterns and storm systems could be identified and studied. Weather observing stations began appearing all across the globe, eventually spawning the birth of synoptic weather forecasting, based on the compilation and analysis many observations taken simultaneously over a wide area, in the 1860s.

    With the formation of regional and global metrological observation networks in the nineteenth and twentieth centuries, more data were becoming available for observation based weather forecasting. A great stride in monitoring weather at high at altitudes was made in the 1920s with the invention of the radiosonde. Small light weight boxes equipped with weather instruments and a radio transmitter, radiosondes are carried high into the atmosphere by a hydrogen or helium − filled balloon that ascends to an altitude of about 30 kilometers before bursting (Gaffen, 2008). During the ascent, these instruments transmit temperature moisture, and pressure data (Called soundings) back to ground station. Three, the data are processed and made available for constructing weather maps or insertion into computer models for weather prediction. Today, radiosondes are launched every twelve (12) hours from hundreds of ground stations all over the world.


    1.2 Objectives Of The Study

    The objectives of this research work are as follows:

    1. To help aviation meteorologists issue accurate weather forecast.
    2. To enable aviation meteorologists issue weather forecast with minimum delay.
    3. To enable Aviation industry to make decision on flight control based on information given.
    4. To study and use advance programming language as logical tool for forecasting weather conditions.
    5. To make sure of effective analysis, design implementation, and also provide solution to state problems in Aviation weather forecast.

    1.3 Statement Of The Problem

    The current method of weather forecasting in the Aviation industry impeded by the following problems

    1. Inaccuracy issue of weather forecast
    2. Delay from the head quarters (meteorological services Headquarters in Lagos) in forecasting weather conditions.
    3. The use of manual methods in weather forecast and also in storing or keeping recordings of previous measurements of weather elements and its analysis

    1.4 Scope Of The Study

    The scope of this project will be to design workable easy to use and reliable software package used to forecast weather conditions for Aviation industry (Sam Mbakwe Airport).

    The scope of this project design extends to the following range and deals with the total automation of the following:

    1. The data entry section which facilitates easy entry of data obtained from measurements of various instruments.
    2. The data base: the data entered is stored in a data base for record purpose and also for easy sorting of a particular record(s)
    3. The weather analysis: This analyses a given record of daily weather measurements and also permits the statistics of the data to be viewed.
    4. The weather forecast: The impact of weather and its remarks is stated.

    1.5 Significant Of The Study

    The significant of this study is to design a weather forecasting package for Aviation industry that would provide information concerning the weather conditions on a daily basis, and information would be useful for

    1. Aircraft landing
    2. Aircraft take-off
    3. Making decisions on route changes and inconveniences; and
    4. Discomfort arising from altitudinal changes in flight.

    1.6 Limitations Of The Study

    One of the limitations the researcher encountered was the difficulty in getting information and relevant facts about the current system from the staff of the Nigerian Meteorological Agency (NIMET), Imo Airport.

    Another limitation encountered by the researcher is financial constraints, especially in transport fare to the area of study for the collection of data and also the cost of getting information from relevant journals, books materials printed − out from internet, etc.

    Finally, lack of relevant textbooks related to the study useful making citations.


    1.7 Definition Of Terms


    Beaufort scale:

    Scale that indicates the wind seed using the effect wind has on certain familiar objects.


    Drizzle:

    A form of precipitation that consists of water droplets less than 5mm.


    Fog:

    Water that has condensed closed to ground level, producing cloud of very small droplets that reduces visibility to less than one km (three thousand and three hundred feet).


    Lightning:

    Any and all forms of visible electrical discharged produced by thunder storms.


    Meteorology:

    The study of the phenomena of the atmosphere and all the processes that take place in the atmosphere and the relationships with processes at the surface of the earth.


    Radiosonde:

    A balloon carrying instruments for measuring conditions in the upper atmosphere.


    Rain:

    A type of precipitation that is in the form of water droplets larger than 0.5mm.


    Snow:

    Precipitation composed of white or translucent ice crystals. Snow forms in cold clouds by the direct transfer of water vapor to ice TAUNDERSTORM (or thundershower) − A local storm, produced by a cumulonimbus cloud, and accompanied by thunder and lightning.


    Weather:

    State of the atmosphere with respect to heat or cold wetness or dryness, clam or storm, clearness or cloudiness. Also weather is the meteorological day today variations of the atmosphere and their effects on life and human activity. It includes temperature, pressure, humidity clouds, wind, precipitation and fog.

    CHAPTER TWO

    2.0 Literature Review

    2.1 Introduction

    This chapter focuses on the review of related literature. A literature review includes the current knowledge as well as theoretical and methodological contributions to a particular topic. It documents the state of the art with respect to the topic you are writing. It surveys the literature in the topic selected. In this research work the literature review includes the …

    Summary Headlines for Design and Implementation of Weather Prediction System for Air Transport industry



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