Shranjevanje proizvodnih podatkov za učinkovito analizo

GAZVODA, ŽIGA (author), Butala, Peter (mentor)

Proizvodna industrija se spopada z globalizacijo. Izdelke mora izdelovati bolje in hitreje, obenem pa zmanjševati stroške proizvodnje. Učinkovitost proizvodnje se lahko izboljša z analizo razpoložljivih proizvodnih podatkov. Ta zaključna naloga se osredotoča na analizo podatkov pri procesu injekcijskega brizganja plastike. V njej je realiziran in predstavljen program, ki podatke iz krmilnika in sistema za upravljanje proizvodnje smiselno uredi v programu na osnovi Python programskega jezika in jih shrani v podatkovno bazo MongoDB. Rezultat naloge so podatki, shranjeni v podatkovni bazi, s katerimi je nadaljnja interakcija hitra in preprosta.

• Language: Slovenian
• Keywords: velepodatki, podatkovna baza, mongoDB, parametri, analiza
• Work type: Bachelor thesis/paper
• Organization: FS - Faculty of Mechanical Engineering
• Year: 2017
• PID: 20.500.12556/RUL-95524
• Publication date in RUL: 20.09.2017

Secondary language

• Language: English
• Title: Storing manufacturing data for efficient analysis

Abstract

The manufacturing industry faces globalization. It needs to produce products better and faster, while reducing production costs. The efficiency of production can be improved by analyzing the available production data. This final task focuses on data analysis in the process of injection plastic moulding. In it, a program is executed and presented, which makes the data from the controller and manufacturing execution system meaningful in the program based on the Python programming language and stores them in the MongoDB database. The result of the task is the data stored in the database, with which the further interaction is quick and easy.

• Keywords: Big Data, database, MongoDB, parametres, analysis