Brunei introduces Smart IoT system to speed up response to cable theft


Unified National Networks manager of Infrastructure Delivery Aliyussof Pungut delivering his speech. - BB

BANDAR SERI BEGAWAN: A Smart IoT security system solution has been introduced to help teams identify affected areas more quickly, enabling faster response and service restoration, according to Unified National Networks (UNN) during the second media engagement session on Wednesday (Jan 21).

UNN Manager of Infrastructure Delivery Aliyussof Pungut highlighted that cable theft has been an ongoing issue for the company.

He explained that when a cable theft occurs, UNN teams are deployed to the site to assess damage and trace where the theft took place. This process can be time-consuming, as it is carried out manually and requires multiple manholes to be opened to locate the exact point of damage.

He noted that this is where the Smart IoT security system plays a role. Its purpose is to help the team identify affected areas faster to enable quicker response and restoration.

IoT sensors have been installed in manholes to detect movement and unauthorised access, with the intelligent system triggering real-time alerts via a central monitoring platform.

Currently, 14 locations have been successfully deployed, with further expansion planned.

UNN Vice President of Service Delivery (Field Operations) Martini Abdul Rahman demonstrated how the system works by opening a manhole, which immediately triggered an alert.

In her opening remarks, she said the session aimed to provide clarity and awareness on network performance, infrastructure protection, technology innovations, and ongoing UNN projects in support of the nation’s digital needs.

Meanwhile, UNN Manager of Field Operations Muhammad Nizam Haji Dollah also introduced standardised contractor uniforms to help the public identify authorised UNN personnel. If a contractor is working at a manhole without the uniform, the public is advised to contact the police to report the incident. – Borneo Bulletin/ANN

 

 

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