Quality Defect Diagnosis Method for Prefabricated Steel Structure Residences Based on Artificial General Intelligence
摘要
With the rapid development of artificial intelligence technology, the construction industry is also progressing in various directions, including digitization, informatization, and automatization. Given the challenges in diagnosing quality defects in prefabricated steel structure residences, such as difficulties in data acquisition, high demands for specialized knowledge, and the influence of various factors. This paper, based on a non-axiomatic logical reasoning system from general artificial intelligence, conducts an initial diagnosis of quality defects in prefabricated steel structure residences using unstructured data.