COVID-19 Can Create Opportunity for IoT in the Caribbean
� �
�
� �
� �
�
Resilient ICT sector enables flexible and remote operations Technology adoption facilitated through a marketing plan using the recognizable and understandable keywords “ digital transformation ”, “ IoT ” and “ smart sensor ” Important information to be disseminated to individuals in real-time are building occupancy levels ( with the allowable maximum value ), feedback on individual temperature measurements as well as location and proximity to contagious persons Touchless systems ( no physical interactions ) are a need Design safety needed to protect against unintended consequences ( as exposure to EM radiation ) In vivo virus detection can provide real-time information Personal data privacy for medical data submitted for analysis must be compliant with the “ privacy by design and by default ” regulations Respondents agreed that an IoT device is smart , must be connected to the Internet and does not require someone to physically touch it to operate .
IoT implementation requires a digital and telecommunications infrastructure to achieve connectivity , scalability , redundancy and to become ubiquitous . As a sensor driven tool , it is used to identify key performance indicators ( as energy parameters of a building or an individual ’ s temperature ). However , it is a physical device that measures the “ analogue ” environment and pushes digitalized data to various applications ( as analytics and machine learning ) to facilitate specific services ( as repairs to a HVAC system or creating audible reminders to maintain social distancing ).
OPPORTUNITIES FOR IOT DEPLOYMENT
KPIs developed from the first IoT system installed can lead to the identification of other IoT sensors needed to acquire complimentary data of the primary parameter being monitored ( as the thermal conditions of the HVAC electrical infrastructure or the acoustic parameters of a person ’ s cough or sneeze ). This creates an iterative system which increases the quantity and variety of IoT devices , as illustrated in Fig . 16 . In the diagram , the initial IoT system monitors a primary parameter ’ s KPIs and deviations trigger a replacement or repair action . This first iteration is commonplace within the maintenance framework . The data analytics also provides additional insights into the system ’ s behavior that can be developed into new opportunities and KPIs . However , the existing IoT sensors are not designed to detect the new performance indicators thus creating the need for the second iteration . This creates a cyclical pattern driven by KPIs identified through data analysis .
- 90 - November 2020