Artificial Intelligence and Environmental Protection of Buildings

• Autorzy: Chen Zheng , He Yu

Identyfikatory

DOI

10.35784/preko.4039

Warianty tytułu

PL

Sztuczna inteligencja i ochrona środowiska budynków

• Języki publikacji: EN

Abstrakty

EN

Global environmental pollution has an extremely negative impact on the population of the planet and threatens the future of mankind. One of the main sources of waste and toxic emissions into the atmosphere is the construction sector. It is necessary to find ways to minimize the damage caused to nature. Currently, artificial intelligence technologies are among the most promising ways to improve the environment. Automatic control systems solve a number of problems related to reducing costs and resources, full use of renewable energy sources, improving the safety of energy systems, and many others. The purpose of this article is to determine the functionality of artificial intelligence technologies and ways of their application in green construction. To solve this problem, methods of analysis and synthesis of existing information models were applied. The article discloses automatic control systems in the design, construction, and operation of buildings. These include well-known methods, such as Building Information Model, Machine Learning, Deep Learning, and narrow-profile ones: Response Surface Methodology, Multi-Agent System, Digital Twins, etc. In addition, the study states that when planning and arranging green buildings must adhere to the following principles: high energy efficiency, rational use of natural resources, adaptation to the environment and climate, ensuring comfort and safety for residents. The article presents the standards of green construction existing in the world. This work can serve as a guide when choosing information models and is of practical value in the development of green buildings.

PL

Globalne zanieczyszczenie środowiska ma niezwykle negatywny wpływ na naszą planetę i zagraża przyszłości ludzkości. Jednym z głównych źródeł emisji odpadów i substancji toksycznych do atmosfery jest sektor budowlany. Konieczne jest znalezienie sposobów na zminimalizowanie szkód wyrządzanych przyrodzie. Obecnie technologie sztucznej inteligencji należą do najbardziej obiecujących sposobów poprawy stanu środowiska. Układy automatyki rozwiązują szereg problemów związanych z redukcją kosztów i zasobów, pełnym wykorzystaniem odnawialnych źródeł energii, poprawą bezpieczeństwa systemów energetycznych i wieloma innymi. Celem artykułu jest określenie funkcjonalności technologii sztucznej inteligencji oraz sposobów jej zastosowania w zielonym budownictwie. Zastosowano metody analizy i syntezy istniejących modeli informacyjnych. W artykule opisano systemy automatycznego sterowania w projektowaniu, budowie i eksploatacji budynków. Należą do nich dobrze znane metody, takie jak Building Information Model, Machine Learning, Deep Learning, oraz wąskoprofilowe: Response Surface Methodology, Multi-Agent System, Digital Twins itp. Ponadto badanie stwierdza, że podczas planowania i aranżacji zielone budynki muszą spełniać następujące zasady: wysoka efektywność energetyczna, racjonalne wykorzystanie zasobów naturalnych, dostosowanie do środowiska i klimatu, zapewnienie komfortu i bezpieczeństwa mieszkańcom. W artykule przedstawiono standardy zielonego budownictwa istniejące na świecie. Praca ta może służyć jako przewodnik przy wyborze modeli informacyjnych i ma praktyczną wartość w rozwoju zielonych budynków.

Słowa kluczowe

EN

ecology; energy efficiency; green buildings; information model; automatic control system

PL

ekologia; efektywność energetyczna; zielone budynki; model informacyjny; system automatycznego sterowania

• Wydawca: Lublin University of Technology
• Czasopismo: Problemy Ekorozwoju
• Rocznik: 2023
• Tom: Vol. 18, nr 2
• Strony: 254--262
• Opis fizyczny: Bibliogr. 35 poz.

Twórcy

autor

Chen Zheng

• Hunan University,Yuelu Academy, Department of Philosophy,410082, YueluDistrict, Changsha, Hunan Province, People's Republic of China

• https://orcid.org/0000-0001-8134-8129

autor

He Yu

• Guilin University of Electronic Technology, School of Art and Design, Guilin, China

• https://orcid.org/0000-0001-9732-9766

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