Tech & Innovation
Construction professionals are also tapping AI to help: • Optimize Resources: AI and machine learning are being used to plan the distribution of labor and machinery across jobs by providing insights to help manage overworked labor and ensure machinery is being utilized effectively. AI-driven robots can continuously evaluate job progress, workers, and equipment, giving project managers instant visibility into which job sites have enough workers and equipment to complete the project on schedule, and which are falling behind. • Streamline Workflows: The rise of LLMs has changed how construction companies interact with documents. They can now chat and ask questions or extract critical information from documents, which changes how data is used in construction, making it more effective at managing data and risk. • Mitigate Risk: One in five worker deaths last year were in construction. AI and machine learning solutions can monitor and prioritize risk on the jobsite and automatically assign priority to more significant safety issues. This allows project teams to focus their limited time and resources on the biggest risk factors. • Automate Off-site Construction: Construction companies are increasingly relying on off-site factories staffed by autonomous robots that piece together components of a building for assembly by human workers on-site. Autonomous machines can complete structures, such as walls, assembly- line style more efficiently than their human counterparts, leaving human workers to finish the detailed work such as plumbing, HVAC, and electrical systems after the structure is assembled. • Increase Jobsite Productivity: AI powers self-driving construction machinery to perform repetitive tasks such as pouring concrete, bricklaying, welding, and demolition more efficiently than their human counterparts. The technology plays a role in excavation and prep work performed by autonomous or semi-autonomous bulldozers, which use human input to prepare job sites. This frees up human workers for the construction work and reduces the time required to complete the project. In service, workers can scan maintenance tags and extract prior history, enabling data to be delivered to the right person at the right time. • Streamline Operations: With AI intelligence, accounting teams can automatically turn paper and PDF invoices into invoice entries for faster, more accurate workflows that save contractors valuable time, effort, and money. AI in Asset Lifecycle Management AI plays an increasingly important role in ensuring assets function and can be maintained efficiently over time. Owners are using tagging and IoT alongside AI to better maintain the health of their assets. IoT sensors and QR codes placed on each asset
17
Fall 2024
csengineermag.com
Made with FlippingBook Annual report