Three key facets to HDB's research collaboration

SkyVille @ Dawson. HDB aims to bring residents closer together through data on demographics, social trends and lifestyle preferences.
SkyVille @ Dawson. HDB aims to bring residents closer together through data on demographics, social trends and lifestyle preferences.PHOTO: HDB

1 Developing new sensors that can perform basic data processing upon collection, rather than just transmitting information. For instance, such sensors could have the capability to make sense of larger chunks of data collected in 15-minute intervals, rather than gathering second-to-second data.

2 Integrating multiple sources of data. Data, such as a block's exposure to the weather and lift performance, could be analysed together to see if lift performance could be affected by them.

3 Producing better predictive analytics software. With better analysis, potential lift faults could be predicted and pre-empted, by improving the focus of maintenance. This is done through crunching lift data such as its motor temperature.

HDB also aims to bring residents closer together through data on demographics, social trends and lifestyle preferences.

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One potential idea is creating an app where residents could earn "credits" through helping one another with tasks such as buying groceries. These "credits" could then be exchanged for discounted goods at neighbourhood shops.

Lim Min Zhang

A version of this article appeared in the print edition of The Straits Times on June 30, 2017, with the headline 'Three key facets to HDB's research collaboration'. Print Edition | Subscribe