Artificial Intelligence applied in the design of Sewage Treatment Plant projects – Comparative study with real data

• DOI: https://doi.org/10.22533/at.ed.1317412415011

• Palavras-chave: Wastewater Treatment Plants (WWTP); Artificial Intelligence (AI); Building Information Modeling (BIM).

• Keywords: Wastewater Treatment Plants (WWTP); Artificial Intelligence (AI); Building Information Modeling (BIM).

• Abstract:

  To achieve the goals stipulated by the legal framework for sanitation, Federal Law Number 14,026, it is necessary to effectively increase the 3,368 (2019) Sewage Treatment Stations (ETEs) existing in the country. The development of conventional ETE projects involves interdisciplinary areas and considerable time for preparation. However, there are Artificial Intelligence (AI) tools on the market that can produce complete ETE projects in shorter intervals, covering areas of civil quantities, technical details of the process, chemical/energy consumption and sludge generation, in addition to floor plans in Revit and AutoCAD. In this context, the objective of this study was to carry out a comparative study, analyzing the application of an ETE project developed in the Transcend Design Generator software to a real project – ETE CEMEX, from SABESP.