Requirement Analyses and a Requirement Analyses and a Database Model for the Database Model for the

ProjectProject:: EGERFOODEGERFOOD

Food Safety Knowledge CenterFood Safety Knowledge Center

Tibor RadványiTibor RadványiGábor KusperGábor KusperEszterházy Károly CollegeEszterházy Károly College

OutlineOutline

Motivation Background:

– Regional Knowledge Centers– The EgerFood Project:

Food Safety Knowledge Center – R+D (Research and Development)

Requirements a Database Model

MotivationMotivation

To Build an Information System– Which is Working– Which is a Real One

Use techniques known from teaching Compare practical and theoretical Information

System Development

It is a big challenge!

BackgroundBackground

Regional Knowledge Centers– In North-Hungary

• ’05, Eszterhazy Karoly College: Food Safety• ’04, University of Miskolc: Logistics

Egerfood:Consumer focused complex food tracking systems, new food safety parameters and tools with a novel info-communication system

The ConsortiumThe Consortium

Eszterhazy Karoly College + Research Lab SzinvaNET Kft. 1., Hesi Rt. 2., Egri Bormímes Kft. 3., Detki Keksz Kft. 4., Fish and Food Kft. 5., Quality Champignons Kft. 6., Pásztor-Hús Kft. Merchantmen Chamber of District Heves

The analyzed products:The analyzed products:

Egri Bikavér wine, Detki household biscuit, Chilled fresh strudel-sheet, Tóth pungent sausage, Csiperke canned mushroom, Canned fish.

1. Task: Requirement Analyses1. Task: Requirement Analyses

We have gathered information about the products and about the procedure of the production

First round: Questionnaire Second round: Personal meetings Some questions:

– Which parameters are measured, How?– How are the products identified?

RequirementsRequirements

Use existing hardware Easy to adopt Collected data must be transferred encrypted Be able to serve quickly and cost effectively

the costumers Be able to query old data to see the trends

A consequent of the requirementsA consequent of the requirements

There must be a central data warehouse,

which has to:

– store the data,

– serve the queries of the displaying modules (Web,

WAP, fat clients).

The Goal of the IT SystemThe Goal of the IT System

Sending information in a fast, cost effective, and reliable way to the

Costumers

Food producers

Effected authorities

2. Task: Functional Specification2. Task: Functional Specification

At the moment we are now at stage Done:

– Data transmission model– The database model of the food tracking database

ToDo:– Select a cryptography algorithm – Develop the protocol of data transmission– Develop a product identification code system– Specify the GUIs

Data TransmissionData Transmission

Safe & Encrypted

CryptographyData redundancy

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Transmission modelTransmission model: 3-Tire Storage: 3-Tire Storage

Risk of data-loss is minimizedRisk of data-loss is minimized

How we save data in the 3-Tire Storage:– The PCs at the data source save the data immediately after it

is inserted.– The Buffer Servers save the data before sending it.– The Central Data Warehouse saves the data as it receives it.

This data redundancy guarantees the data safety!

We have a lots of redundant data. Therefore, we have to make an archive time to time at all the 3 levels. Therefore, we need a suitable archive making policy. This is not done yet.

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Question about the databaseQuestion about the database

What is the best solution?: To create a database model which can store

any important data (regarding food safety) of any considered products (or possibly later introduced).

OR To make a specialized database model for

each considered products and take the union of them.

The Pencil & Notebook solutionThe Pencil & Notebook solution

At 6 (out of 6) food producer companies they use pencil and notebook to store measured parameters.

They use worksheets.

Is this solution good enough? Competitors may use even ERP systems!

The universal solutionThe universal solution

It seems that the Pencil & Notebook solution is universal.

Can be used to store the measured parameters of any– Product and– Production process.

Idea: Use this universal solution, but on a computer.

Data ModelData Model

CompaniesCompanies

Company: basic information about the company, meanly to display for the users.

Products: basic product information. A company may have more products.

AttributesAttributes

Attribute: describes a parameter, which is measured during the production.

Attribute_Type: the unit of the parameter, this information is needed for data conversion.

LogsLogs

Log: data of a work-period. Log_Row: the unit of data

insertion. Example: Mary Smith on 15.12.2006 in the 2nd work-period in the 10th tent harvested 3 kg of mushroom.

Row_Element: stores the elementary data. Any elementary data should have an attribute.

ExampleExample

Mary Smith on 15.12.2006 in the 2nd work-period in the 10th tent harvested 3 kg of mushroom.

Product_ID Log_ID Product_ID Work_Period19 5606 19 2

Log_Row_ID Log_ID Date Log_Row_ID Attribute_ID Value102006 5606 15.12.2006 102006 62636 Mary Smith

102006 67428 10102006 473667 3

Attribute_ID Attribute_Type_ID Name Attribute_Type_ID Name Size62636 77 name 77 string_80 8067428 81 tent id 81 integer 4

473667 87 mushroom 87 kg 4

Attribute Attribute_Type

LogName

Csiperke canned mushroom

Product

Log_Row Row_Element

ConclusionConclusion

We have created a robust data transformation model which minimize the risk of data-loss.

We have created a data model based on the Pencil & Notebook solution.– Advantages:

• Employee can adopt easily to it.• Easier application development.

– Disadvantages:• Data conversion cannot be done automatically.

Thank you for your attention!

Tibor Radványi

dream@aries.ektf.hu

Gábor Kusper

gkusper@aries.ektf.hu