Python : an automation tool for unlocking innovation and efficiency in the AEC sector

Abstract

Python offers a lot of potential as an automation tool for the Architecture, Engineering, and Construction (AEC) industry, with opportunities to enhance decision-making, accelerate innovation, and simplify operations. The AEC industry challenges issues with efficiency, innovation, and sustainable development in the current data-driven world. Automation has proven a potent cure, revolutionizing many aspects of business. Python provides potential to enhance operational efficiency by minimizing AEC operations, enhancing decision-making, and exploiting its extensive libraries and flexibility. This research examines the adoption of automation technologies in the AEC industry, including computer-aided design (CAD), building information modelling (BIM), robotics, and machine learning, through a review of the literature, guidelines, and criteria that are assessed according to their effect. It exposes the deficiencies and problems, such as the lack of software system compatibility. Due to its versatility, considerable community support, and potential for connection with existing software systems, Python presents as a feasible automation solution. The findings reinforce the significance of continuing research and application in this sector by demonstrating the benefits of Python automation in encouraging collaboration, innovation, and a data-driven future for the AEC industry.