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The advent of Artificial Intelligence and its continued evolution by adept software developers reinforces its versatility and limitless possibilities to propel industries into the future. Its application within the construction industry seeks to enable streamlined project planning, expense reduction, risk mitigation, and boost environmental sustainability initiatives. The construction industry remains complex due to several required steps within the design and planning stages, sourcing materials, acquiring permits, and organizing personnel.
The industry has continued utilizing software-based resources, but additional steps can be taken to modernize an industry that is vital to businesses and communities. AI-enhanced software specialists enable the industry to optimize its processes to expedite project completions while reducing expenses and reevaluating its impacts on the environment and communities it serves.
The construction industry’s move to modernity has been gradual, but recent implementation of new resources, such as comprehensive Building Information Modeling (BIM), demonstrates the industry’s goals of moving forward by optimizing facility management, developing new cost-saving measures, and even revolutionizing infrastructure planning with a focus on personnel safety, structure efficiency, and longevity.
Artificial Intelligence enhanced by expert-level software engineers helps mitigate one of the biggest bottlenecks the construction industry continues to face; design and planning. These processes are critical for any project to come to fruition, yet the industry still needs to improve. Several questions arise during planning stages: is the structure safe and adhering to all regulations? Does it have proper functionality and longevity?
AI systems with access to previously utilized construction plans from a database are directed by personnel using generative design software to compile data using several parameters, such as cost and material performance, to create several design options for construction personnel to make more informed design and planning strategies. The software can compile nuanced reports that accurately portray which design choice would result in the best solution on a per-project basis.
Software developers can enable seamless design project collaborations via the Cloud, facilitating expedited project completions, which is another major roadblock the construction industry has always faced. Implementing AI-enhanced by skilled software designers simplifies a once arduous design and planning process.
Artificial Intelligence coupled with predictive data analytics builds the foundation for modernizing the construction industry by carefully monitoring the condition and performance of building assets, such as HVAC systems. Utilizing IoT sensors, personnel gain unique insight into how assets perform, creating a more informed list of what assets will work effectively within new building projects.
The IoT-based sensors enable real-time, remote monitoring of assets, and coupled with Machine Learning, a subset of AI, predictive analysis details how an asset such as an HVAC system performs over time and what components are most vulnerable to damage. Construction personnel can apply these unique insights to future projects and make more informed decisions on what assets to incorporate into infrastructure that will streamline efficiency.
Property managers will benefit from predictive analysis because they will be proactively alerted to previously unforeseen maintenance issues, ensuring prompt attention to critical infrastructure components, which will promote the longevity of a building structure and reduce the need for a company to return and engage in possibly costly repairs or upgrades.
The construction industry continues to be one of the largest consumers of raw materials and natural resources, taxing the environment with carbon emissions and improper storage and waste disposal. The Environmental Protection Agency (EPA) terms sustainable construction as “the practices of creating structures and using processes that are environmentally responsible and resource-efficient throughout a building’s life-cycle from siting to design, construction, operation, maintenance, renovation, and deconstruction.” New EPA guidelines have been revised to promote more stringent recommendations to implement green initiatives in new construction and if the industry takes steps to embrace AI and other resources, the new recommendations can be widely implemented.
The construction industry has a long history of balancing significant demands for new construction with growing calls for more effective regulations to protect natural resources. Efforts such as Europe’s adoption of the Construction Products Regulation (CPR) place more direct involvement by officials in how a construction project is designed and implemented, resulting in stricter guidelines for materials used in permanent constructions to improve building safety, component longevity, and sustainability.
In the U.S., the Federal Building Performance Standard was announced, designed to reduce energy consumption by 30 percent within federally owned buildings by utilizing more electric-based equipment and appliances. This initiative is in response to studies proving residential and commercial buildings are responsible for 35 percent of carbon dioxide emissions in the country, with commercial and government buildings costing $190 billion annually to power them. The long-term plan is to have all federally owned buildings achieve net-zero emissions by 2045. AI may provide a more comprehensive solution to achieve this ambitious goal.
AI can be implemented to monitor a construction firm’s energy consumption and impacts on natural resources during projects. Additionally, AI can be utilized to proactively source sustainable materials by identifying which ones facilitate the most durability, reducing the need to revisit projects for material upgrades, and mitigating costs associated with removal of old materials.
Sustainability efforts have always focused on emissions reduction and AI helps reach this goal, notably during construction planning phases. When assessing a building’s energy efficiency, AI precisely measures what HVAC and electrical assets deliver the most sustainable, cost-effective utility service. Optimizing how assets operate is a critical step toward guiding the construction industry to more sustainable practices.
The U.S. Green Building Council reported the construction industry accounts for 40 percent of worldwide energy consumption, and with estimates citing growing increases, utilizing today’s state-of-the-art technology resources created and implemented by dedicated software experts can promote efforts to reduce this chilling statistic.
The construction industry has reported steady growth following the global pandemic, but the industry’s corrective actions to improve sustainability have not followed suit. Instead, efforts have slowed due to rising material costs and arduous permit and regulation protocols that have become prioritized.
AI’s versatility in several industries remains a proven, cutting-edge resource for optimizing business operations. When implemented within construction, its benefits not only expedite project completion, mitigate expenses, and enhance design processes, but they also enable unprecedented strategies to facilitate sustainability and structure longevity within an industry largely responsible for environmental impacts.
Chetu, Inc. does not affect the opinion of this article. Any mention of specific names for software, companies or individuals does not constitute an endorsement from either party unless otherwise specified. All case studies and blogs are written with the full cooperation, knowledge and participation of the individuals mentioned. This blog should not be construed as legal advice.
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