Assessing the impact of AI integration on advancing circular practices in construction
Abstract
This study provides a thorough examination of the potential and problems associated with integrating artificial intelligence (AI) into the circular economy (CE) framework within Sri Lanka’s construction industry. The study uses approach that combines primary data obtained through a questionnaire survey involving several stakeholders with secondary data analysis from academic sources. The data were interpreted using descriptive and statistical analysis, such as Kendall’s Tau correlation and Pearson’s correlation. There is an optimistic view about AI’s potential advantages, including resource and energy conservation, even if the technology is still in its early integration phases. Nevertheless, there are still significant barriers to adoption, such as a lack of knowledge and reluctance to change. The study offers a conceptual framework for combining AI with CE principles, including IoT, computer vision, and machine learning technologies to enhance the Reduce, Reuse, and Recycle (3R) CE principles. This framework supports cooperative efforts, skill development, and policy development to support sustainable building practices in Sri Lanka.
Article in English.
Dirbtinio intelekto, taikant žiedinę ekonomiką statyboje, poveikio vertinimas
Santrauka
Šiame tyrime nagrinėjamos dirbtinio intelekto (DI) integravimo į žiedinės ekonomikos (ŽE) sistemą Šri Lankos statybos pramonėje galimybės ir ribojantys veiksniai. Tyrime taikomas metodas, kuriame derinami duomenys, gauti atlikus kelių suinteresuotųjų šalių anketinę apklausą, ir duomenys, gauti atlikus mokslo literatūros šaltinių analizę. Duomenys buvo interpretuojami taikant aprašomąją ir statistinę analizes, Kendall’s Tau koreliaciją ir Pearson’o koreliaciją. Optimistiškai vertinant, nors DI technologija dar tik pradedama integruoti statybų sektoriuje, pastebimi jos privalumai, pvz., išteklių ir energijos taupymas. Nepaisant to, vis dar esama didelių diegimo kliūčių, tokių kaip žinių trūkumas ir nenoras keistis. Tyrime siūloma koncepcinė sistema, sistema, kurioje DI derinamas su ŽE principais, įskaitant daiktų internetą, kompiuterinę regą ir mašininio mokymosi technologijas. Tai leistų patobulinti ŽE principus: „mažinti, pakartotinai naudoti ir perdirbti“ (3R). Taikant siūlomą sistemą skatinamas bendradarbiavimas, įgūdžių ugdymas ir politikos formavimas siekiant remti tvarią statybos praktiką Šri Lankoje.
Reikšminiai žodžiai: dirbtinis intelektas, užstatyta aplinka, žiedinė ekonomika, tvarumas, Šri Lanka.
Keyword : artificial intelligence, built environment, circular economy, sustainability, Sri Lanka
This work is licensed under a Creative Commons Attribution 4.0 International License.
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