SmartHangar: decision support system for aeronautical heritage protection

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F23%3A00373885" target="_blank" >RIV/68407700:21220/23:00373885 - isvavai.cz</a>

Výsledek na webu

<a href="https://github.com/CVUT-FS-12110/SmartHangar" target="_blank" >https://github.com/CVUT-FS-12110/SmartHangar</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

SmartHangar: decision support system for aeronautical heritage protection

Popis výsledku v původním jazyce

The decision support system (DSS) for preserving aeronautical heritage, called SmartHangar, is engineered using a multiple-input and multiple-output (MIMO) decision tree model, operationalized through the scikit-learn library in Python. The input-output combinations for learning based on decision tree approach were defined by experts or by state-of-the-art knowledge. Data in SmartHangar undergo a rigorous preprocessing stage to ensure consistency and accuracy, applying moving average filters. After that a resampling is employed to standardize the temporal resolution across disparate data sources so that datasets are aligned to a uniform date-time format. The SmartHangar system incorporates a blend of robust and cutting-edge technologies within the scikit-learn library, namely PostgreSQL, PyCaret, and FastAPI. First, PostgreSQL, the database management system, is used for managing the complex and relational data structures that the DSS requires. PyCaret automates data-driven corrosion model training and evaluation for prediction of corrosion risk. At last, FastAPI is employed for building API to handle asynchronous requests efficiently for real-time data processing and responsiveness. The SmartHangar system gives off outcomes with actions to undertake for preserving the aeronautical heritage. These actions can be both invasive (refurbishment) and non-invasive (preventive). To facilitate the usage of the SmartHangar the Human-Machine Interface (HMI) is developed in the JavaScript framework Vue.js.

Název v anglickém jazyce

SmartHangar: decision support system for aeronautical heritage protection

Popis výsledku anglicky

The decision support system (DSS) for preserving aeronautical heritage, called SmartHangar, is engineered using a multiple-input and multiple-output (MIMO) decision tree model, operationalized through the scikit-learn library in Python. The input-output combinations for learning based on decision tree approach were defined by experts or by state-of-the-art knowledge. Data in SmartHangar undergo a rigorous preprocessing stage to ensure consistency and accuracy, applying moving average filters. After that a resampling is employed to standardize the temporal resolution across disparate data sources so that datasets are aligned to a uniform date-time format. The SmartHangar system incorporates a blend of robust and cutting-edge technologies within the scikit-learn library, namely PostgreSQL, PyCaret, and FastAPI. First, PostgreSQL, the database management system, is used for managing the complex and relational data structures that the DSS requires. PyCaret automates data-driven corrosion model training and evaluation for prediction of corrosion risk. At last, FastAPI is employed for building API to handle asynchronous requests efficiently for real-time data processing and responsiveness. The SmartHangar system gives off outcomes with actions to undertake for preserving the aeronautical heritage. These actions can be both invasive (refurbishment) and non-invasive (preventive). To facilitate the usage of the SmartHangar the Human-Machine Interface (HMI) is developed in the JavaScript framework Vue.js.

Druh

R - Software

CEP obor

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OECD FORD obor

20205 - Automation and control systems

Projekt

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Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Interní identifikační kód produktu

SmartHangar - v1

Technické parametry

Licenční ujednání o využití výsledku se řídí konsorciální smlouvou projektu s číslem 699523 "Consortium Agreement - PROtection and Conservation of Heritage AirCRAFT (PROCRAFT)“. Odpovědná osoba za ČVUT, FS je: doc. Ing. Jaromír Fišer, Ph.D., Technická 4, 160 00 Praha 6, Tel.: +42022435 3953, Email: Jaromir.Fiser@fs.cvut.cz

Ekonomické parametry

Stanovení ceny SmartHangar: decision support system for aeronautical heritage protection se řídí konsorciální smlouvou "Consortium Agreement - PROtection and Conservation of Heritage AirCRAFT (PROCRAFT)" uvedenou v Technických parametrech.

IČO vlastníka výsledku

68407700

Název vlastníka

České vysoké učení technické v Praze v Praze, Fakulta strojní