doktorska disertacija
Daniela Dvornik Perhavec (Author), Danijel Rebolj (Mentor), Matjaž Perc (Co-mentor), Andrej Tibaut (Co-mentor)

Abstract

Prenova zgodovinskih objektov gradbenim inženirjem ne predstavlja posebnega zadovoljstva in izziva. Morda je razlog v tem, da za načrtovanje projektov obnove ni zadostne podpore s strani investitorjev. Raziskovanje zgodovinskih objektov zahteva čas in finančna sredstva. Projekt obnove je za razliko od novogradenj drugačen in temelji na vhodnih podatkih kot posledici rezultatov raziskovanja obstoječih objektov. Če vhodni podatki niso točni, se raziskovanje objekta prenese v fazo izvedbe, kar investitorju povzroči tveganje, izvajalcu pa motnje v projektu obnove. Projekt prenove se običajno prične z raziskovanjem obstoječega objekta in z iskanjem arhivskega gradiva. Težava nastopi, če arhivskih podatkov ni. Ključno vprašanje, ki pri tem nastopi je, kako iz razpoložljivih virov in podatkov, ki so za zgodovinske objekte na voljo, napovedati karakteristike objektov, za katere razpoložljivih virov ni. Na podlagi analize literature, gradbene zakonodaje in načrtov za zgodovinske objekte smo izdelali relacijske baze na podlagi katerih smo želeli izdelati napovedni model za naključne objekte. Rezultati za napoved so bili zadovoljivi, zato smo izdelali še ustrezne ontologije ter s pomočjo metod umetne inteligence, natančneje z odločitvenimi drevesi, pridobili novo znanje o karakteristikah zgodovinskih objektov. Proučili smo tudi zunanje udeležence. Na podlagi teorije iger smo utemeljili kateri parametri so ključni za uspešno podporo projektu prenove. V doktorski nalogi predstavljen model za učinkovitejše načrtovanje projektov obnove zgodovinskih objektov s pomočjo uporabe tehnologij za upravljanje znanja predstavlja nov pristop v procesu projektov prenove objektov. Z uspešnim razvojem ontologij bomo s pomočjo pridobivanja znanja iz podatkov ter podatkovnega rudarjenja lahko zagotovili boljšo podporo tistim, ki tovrstno znanje potrebujejo.

Keywords

projekti obnove;zgodovinski objekti;sistemi;podatkovne baze;ontologije;odločitvena drevesa;podatkovno rudarjenje;umetna inteligenca;teorija iger;zapornikova dilema;model za učinkovitejše načrtovanje;tehnologije upravljanja znanja;doktorske disertacije;

Data

Language: Slovenian
Year of publishing:
Typology: 2.08 - Doctoral Dissertation
Organization: UM FGPA - Faculty of Civil Engineering, Transportation Engineering and Architecture
Publisher: [D. Dvornik Perhavec]
UDC: [69.059.25:721.03]:004.89(043.3)
COBISS: 19752470 Link will open in a new window
Views: 2369
Downloads: 122
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: English
Secondary title: Efective approach to the reconstruction of historical buildings with integrated technology of knowledge management
Secondary abstract: Renovation of historic buildings for construction engineers does not have a special pleasure and challenge. Perhaps is the reason of this that the planning of reconstruction projects does not have enough support from investors. Exploring historic buildings requires time and money. The reconstruction project is different from the project of new construction and it based on the input data as the results of investigation existing facilities. If the input data are not correct, then the research of the object is transfer to the execution stage, causing a risk to the investor and the disturbances in the renovation project. Renovation project usually begins with an exploration of the existing building and searching of archives literature. The problem occurs when the archive data are not available. The key question that arises in this, is how from available resources and data for the historic buildings, predict the characteristics of the facilities for which there are no available resources. Based on analysis of literature, building legislation and plans for historic buildings we have developed a relational database to built a predictive model for random objects. The results of the forecast have been satisfactory. We developed also relevant ontologies and acquired new knowledge about characteristics of historic buildings with the method of artificial intelligence, especially with decision trees. We have included also external participants. Based on the game theory, we explained which parameters are decisive, for successful support of renovation projects. In this doctoral dissertation is presented a new model for an effective approach to the reconstruction of historic buildings with the integrated technology of knowledge management. It represents a new approach in the process of building renovation projects. With the successful developments of ontologies and by using the acquisition of knowledge from data and data mining, we could provide better support for those who need such knowledge.
Secondary keywords: reconstruction projects;historic buildings;systems;databases;ontologies;decision trees;data mining;artificial intelligence;game theory;prisoner dilemma;model for more efficient planning;technology of knowledge management;Zgodovinske zgradbe;Disertacije;Obnova;Načrtovanje;
URN: URN:SI:UM:
Type (COBISS): Dissertation
Thesis comment: Univ. v Mariboru, Fak. za gradbeništvo, prometno inženirstvo in arhitekturo
Pages: XXIX, 225 str.
ID: 9121815