Date: Thu, Nov 26, 2020 10:00 AM – 11:30 AM AEST (8:00 AM – 9:30 AM SGT)

Registration/attendee invitation: https://attendee.gotowebinar.com/register/8207845915573397773

Presented by: Sen Vigneswaran, from the Townsville City Council, Queensland Australia

On the 26th of November 2020, Mr Sen Vigneswaran, from the Townsville City Council, will be presenting Tigernix Asset Failure Predictive Analytics– an authentic, smart asset maintenance solution- in the ‘Essentials Webinar’ hosted by QLD water. ‘QLD Water’ is an advisory and advocacy enabler that acts as a collaborative hub that efficiently unifies specialists to mitigate the water supply service providing endeavours for the Queensland communities in Australia.

Tigernix Asset Failure Predictive Analytics Solution is a revolutionary Tigernix invention that allows Asset Managers to take charge of decay-prone asset infrastructures by having a scientifically-proven understanding of predicted instances of probable asset failures. Conveniently pretested in-house asset reliability matrices in this digital solution gather condition-based actual asset performance data. They effectively predict the remaining lifecycles of asset and highly critical times of asset failures. Condition-based analytics is a smart enabler of asset failure data concerning specific asset decaying forces, such as environmental influences, geographical influences, pipe densities, pipe diameters, and all other entities that influence the asset health. This allows asset managers to study the fluctuating functional capabilities of massive assets and pre-plan the maintenance approaches or asset replacing manoeuvrings without affecting the company’s performance and profitability.

When considering the advantages of this solution, managers are first well-versed in the future events of asset maintaining endeavours; therefore, they can make the necessary arrangements to replace or contact support teams proactively. Secondly, the decision-making parties can allocate budgets based on the asset’s actual conditions rather than a static time-based method that is usually prone to waste many resources unnecessarily. Executives of the Utility Service Enterprises can also use the scientifically proven data and 5-10 years ahead forecasted events to understand that their investments are optimally used without any mismanagement of resources.