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devices that traversed our facility over a particular period of time .
It ’ s important to note that the CDC has recently changed its position about how long two or more individuals need to be in close proximity to be deemed ‘ in contact ’. However , we are also seeing study results that suggest the SARS CoV strain can survive on some surfaces for days , possibly weeks .
If this is accurate , then we have a responsibility to be looking beyond just individuals in close proximity to a wider audience of those that may have followed the same path , touched the same surfaces or used the same amenities .
There are tremendous implications to effective cleaning and sterilisation and taking adequate precautions on behalf of the entire travelling population . While that may seem daunting , it is perhaps an equal justification for why community networked solutions could and should play a larger part than what ’ s occurring today .
How has the data allowed you to contain the spread of disease while creating a less negative economic impact ?
We can only speculate at this point given the ever-changing conditions by our global public health organisations . I do think it ’ s fair to suggest that we ’ ve used data effectively in our decision-making .
One of our best use cases are the IoT ( Internet of Things ) sensors that we placed in all of our public restrooms pre-COVID . The sensor deployment was purpose-driven for better staff efficiency while providing a greater , positive impact of exceptionally clean restrooms for our customers .
Our sensors have predetermined thresholds established and actively count the number of visits in and out of each female and male restroom . As the threshold nears for a particular restroom , our nearest male or female housekeeper , depending on the room type , is alerted that the restroom needs servicing .
This is done through cloud-based computing and notifications sent to a wearable device ( wrist watch ) that each housekeeper is issued . We ’ ve moved well beyond the traditional ‘ pen and paper note card ’ of when the restroom was last serviced . Our guests are less interested in seeing someone ’ s initials on a piece of paper and are far more expectant of superior cleanliness . Add the COVID-19 concerns of today and our customer expectations have likely increased exponentially .
As COVID-19 began to impact our airport passenger activity , we immediately used data from the IoT restroom devices to determine which restrooms to close temporarily or for an extended period of time .
This allowed for the best , most efficient use of staff ’ s time verses attempting intensive cleaning throughout all restrooms . It gave them a fighting chance to keep up with the newer expectations .
Pre-COVID , closing restrooms would have been unheard of . However , with effective signage and customer guidance , our traveling guests had a greater appreciation for why we were actively closing / opening restrooms in the interest of quality , health and safety . It ’ s gestures like these that will support optics and confidence building for the public to return to air travel , demonstrating in real time that aviation is acting on the health and welfare of our guests at all times going forward . u
I do think it ’ s fair to suggest that we ’ ve used data effectively in our decision-making .
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