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Construction Tech Review | Friday, October 16, 2020
The use of technologies, including artificial intelligence, machine learning, sensor technology, and data analytics, is greatly contributing to green constructions.
FREMONT, CA: Sustainability is becoming more important for construction business, driven by principally higher expectations from clients and the public. There is a steep increase in concern and attention across all professions working in construction. Innovations headed by several technological interventions are at the forefront of driving such sustainable solutions. Emerging technologies like artificial intelligence, machine learning, IoT, sensor technology, and data analytics contribute to this cause of green construction. Here is how.
[vendor_logo_first]Emerging technologies like artificial intelligence (AI), machine learning, the internet of things (IoT), big data, and sensors have the potential to bring a paradigm shift in the construction sectors. Many of these technologies are in the nascent stage, but they hold great promise in ensuring sustainable and contactless, and green construction. The construction industry can gain significant productivity improvement and achieve its green objectives. This means projects and teams do not rely on paper to coordinate information flow between the field and office, transferring data between various systems and collaborating between various stakeholders.
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The use of AI and analytics to integrate the planning activities to decision-making hurdles and align them to the timely release of drawings and documents can reduce expensive rework. This reduces the environmental impact of waste. The optimal use of materials and avoiding excess material purchase also reduces environmental impact and saves costs. The project controls platform should have analytics, AI, and ML abilities built-in along with project collaboration and controls.
Deploying IoT and sensor technologies in a project site can be of great value to the construction industry. Data can be fed to plant and equipment from the project controls solution to ensure optimal resource use, thus reducing environmental impact. Data collected from these devices can be used to compare the productivity and waste minimization objectives. If companies deploy integrated project control solutions with AI, ML, analytics, and sensor capabilities to create a project can eliminate the need for paper and deliver projects on time without compromising quality and safety.
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