Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Applying Artificial Intelligence within the AEC Industry: Collecting and Interpreting Data
In recent years, many designers and construction managers have demanded more useful information from the voluminous amounts of structured, unstructured, and semi-structured data. Artificial intelligence (AI) can be used to overcome human limitations in processing this amount of data in a quick turnaround. There is a research question concerning gathering information from the environment and transforming them into an internal context. This study seeks to answer this question by collecting and interpreting data in the same way that designers and construction managers use their senses to interact with the environment around them. Depending on the nature of the data, we classify the environment into four interrelated developmental categories: (1) regulated design environment, (2) human-controlled design environment, (3) static construction environment, and (4) observable and dynamic construction environment. After an introduction in AI and its possibilities for design and construction, the paper focuses on how decisions are made based on the input data in these environments. Last, the common ways of interpreting design and construction-related data are described.
Applying Artificial Intelligence within the AEC Industry: Collecting and Interpreting Data
In recent years, many designers and construction managers have demanded more useful information from the voluminous amounts of structured, unstructured, and semi-structured data. Artificial intelligence (AI) can be used to overcome human limitations in processing this amount of data in a quick turnaround. There is a research question concerning gathering information from the environment and transforming them into an internal context. This study seeks to answer this question by collecting and interpreting data in the same way that designers and construction managers use their senses to interact with the environment around them. Depending on the nature of the data, we classify the environment into four interrelated developmental categories: (1) regulated design environment, (2) human-controlled design environment, (3) static construction environment, and (4) observable and dynamic construction environment. After an introduction in AI and its possibilities for design and construction, the paper focuses on how decisions are made based on the input data in these environments. Last, the common ways of interpreting design and construction-related data are described.
Applying Artificial Intelligence within the AEC Industry: Collecting and Interpreting Data
Karan, Ebrahim (Autor:in) / Asgari, Sadegh (Autor:in) / Mohammadpour, Atefeh (Autor:in)
Construction Research Congress 2020 ; 2020 ; Tempe, Arizona
Construction Research Congress 2020 ; 792-801
09.11.2020
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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