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How IoT Battling Against COVID-19

Published Tue, Jun 08 2021 15:04 pm
by The Silicon Trend



Due to the restrictions imposed to stop the pandemic spread, namely social distancing & lockdown, buildings are emptied out. Recently people have returned to restaurants, offices & pubs, & still, there are stringent rules in place to prevent an outbreak. But several embattled baristas, waiter & bartender found it difficult enough to manage a small space, let alone a multi-purpose, many-storied building.

IoT is a one-stop solution:

Sensors reading motion & light, analyzing critical device for wear & tear or damage, recording people movement between floors & footfall, provides building managers & owners a knowledge level that was not possible before in the built world. The data alone is not enough. A company requires analytics to carry out statistical analysis of collected information & unveil patterns, correlations & cause-and-effect relationships. It is only via analytics that we can make sense of information & reveal significant trends. Using a private cloud, we can analyze data on-demand, turning primary knowledge fragments into intelligence - gathering, integrating, analyzing & presenting insights to the building owner. This will significantly be made far swifter & more stable by the wide range deployment of 5G, which combines top-speed connectivity with very low latency.


IoT & Analytics:

But even as it is, owners in the pandemic reign can utilize intelligence afforded to them by the complementary techs of IoT & analytics to manage people flow through a building as required & identify potential bottlenecks in tight spaces such as lifts, where the infection risk is higher. It can instruct cleaning teams to those areas of the building via which people often pass to keep them hygienic.

Tracking the desk use, meeting rooms & other utilities, especially in co-working surroundings ca be more secured with the help of IoT solutions. Over time, the information collected by IoT & made intelligible via analytics can unveil trends, for example, relating to peak hours & other measurements & metrics. It is irrational to expect building owners, even armed with excellent data deal, to be able to manage everyone & everything in their buildings as required.

Anticipatory Measure:

With sophisticated modeling based on that information, they can predict & take the anticipatory measure. An overused meeting room or a lift to the 1st floor might be overused when the stairs are safe & viable option for occupants. IoT is also a vital part of predictive maintenance, which is crucial in developing a frictionless experience within buildings. 

From escalators to lifts, the breakdown of critical devices forces several people to take whatever remaining choices are available to get where they need to get, which creates greater infection risk. IoT permits building owners to assess the wear & tear of machinery & dispatch a team of engineers to undertake replacement before a fallacy renders the device unusable.

Commercially, IoT has permitted much greater flexibility in the contractual relationship between building service teams & owners. Provisions can be made in contracts so that maintenance relating to usage would not be possible if the owner doesn't have a precise insight on how the building was used. This is a huge plus point during high financial uncertainty & general unpredictability, especially in real estate. It safeguards potentially vulnerable firms from getting tied up in contracts only to know that they are overpaying for a service that does not match how their building is being used.





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