IOT in construction: How the digital transformation will reshape the industry

[Kathleen Martin]

The Internet of Things (IOT) refers to the interconnectivity of wearable devices, machines, people, and sensors sharing information and data within a network, IOT networks can be augmented and improved by deep learning systems. “Deep Learning” refers to any artificial intelligence system that is capable of genuine learning. This kind of system can take raw and unorganized data from multiple sources, analyze and organize that data, direct subsequent actions, and even adapt its inputs and outputs without human intervention or prompts. Accordingly, deep learning technology can enhance an IOT network in directing action. Deep learning can also monitor data arriving from the IOT network, trouble-shooting deficiencies or changes in data. Deep learning will therefore enable and increase the usefulness of any IOT network, including IOT in construction.
Practical implications
IOT is already transforming areas of the defence and health care industries, particularly those that depend on significant human labour to complete tasks that can be dangerous, dull, repetitive, or dirty. Likewise, deep learning is already enhancing the usefulness of those industries’ applications of IOT. These changes are rapidly transforming industries and practices. Used separately or together, these resources can have benefits to industries including:

• reducing human labour requirements;
• reducing human error;
• enhancing site safety and security;
• improving the speed at which data is processed and information is shared; and
• cutting costs.

Whether the function of traditional approaches, upfront costs, or change-adverse behaviour, the construction industry has not experienced the same level of transformation as its industry-peers with similar human labour demands. IOT and deep learning are forces of innovation with real potential for increased safety, efficiency, and profit. While there is little consensus as to when IOT and deep learning will become commonplace within the construction industry, research industry experts, and scientists agree that IOT and deep learning are showing tremendous potential to transform the sector in significant ways.
For example, and in the IOT in construction context, wearable devices, which monitor location or fatigue, can assist in worksite security and safety. Integrating systems which permit remote monitoring and management can improve information exchange and management control of a project, particularly where projects are located far from the construction company’s main base of resources. Devices monitoring equipment and machine performance or wear can assist in logistics and prevention of incidents that halt productivity.
Likewise, a primary focus of any construction manager and project execution team is achieving and maintaining optimal productivity rates while avoiding unnecessary expenditures. One key factor in maintaining productivity is ensuring the information is disseminated widely and quickly. Informational asymmetry, where information does not reach the parties it needs to reach in a timely manner, can lead to delays, reduce safety, and impact productivity. IOT systems can provide a means of eliminating informational asymmetry while increasing project safety. IOT systems can also increase safety and security of worksites, preventing incidents that could affect project schedules and budgets.
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