2.12.4 Using Building Information Modelling (BIM

As has already been mentioned, sensors can be programmed to detect a wide range of inputs.

For example, smart boots can be programmed to measure tiredness by evaluating the way the

worker walks and notifies the wearer when they need to rest or stop working. These sensors

will enhance safety and prevent accidents from happening as most are due to tiredness and

worker fatigue. The same technique is used by some cars which can detect if the driver is

sleepy or tired by the way they drive and notify them that they may need to rest.

GPS can also be installed in the smart boots that can track worker movement in big

construction sites, and notify if they are in places they are not supposed to be.

“Wearable devices are gaining ground, especially for workers in outdoor, hazardous

environments where detecting falls or pinpointing location could save lives. Barriers to be

overcome include device battery life and back end infrastructure to process the information

into insights; There remains a compelling case for wearables that reduce risk and improve

the safety of workers.” (Financial Times, June 2016)

Sensors can be installed on workwear that can detect dangerous noises and can measure heart

rate and body temperature. This data will be shared using the IoT with other devices and with

the site managers that will enhance safety by tracking the working environment and

managing risks before they escalate. (Hazardex, 2018)

Snickers workwear is one of the new companies using this sensor in workwear clothes.

BIM is a process that delivers a 3D model of a building, and it is often used during the design

and construction phases. IoT sensors can be integrated into a model, creating data that can be

used to model occupant movements, temperature trends, and energy usage patterns. The