PRoblem statement

Smart Pre-Categorization of potential contaminant upon event occurrence

Smart Pre-Categorization of potential contaminant upon event occurrence

How might we develop a smart pre-categorisation classification algorithm of the type of contaminant present in the water matrix upon event occurrence from the different sensor data provided?

Problem Statement

To monitor the condition of Mechanical & Electrical (M&E) equipment such as pumps, compressors, air blowers, centrifuges, switchboards, transformers with minimal manpower, at a lower cost (in terms of Capex and Opex) than current approach?

Background Context

At PUB, to ensure our water supply is running 24/7 sustainably, efficiently and serving our businesses and citizens continuously, we have to ensure our infrastructure and equipment are performing at its intended performance standards. 

Mechanical & Electrical (M&E) equipment such as pumps, compressors, air blowers, centrifuges, switchboards, transformers are deployed in areas like water & wastewater treatment plants, pumping stations, reservoirs, etc. 

The equipment immediate environment can be categorised as outdoor, indoor and also underground. 

They are subjected to high temperature variation, high humidity atmospheric condition, and possible environmental noise such as stray voltage, power surge and lightning transient.  

In addition, these field equipment are handling a variety of media, such as raw water, used water, treated water, aeration air and process sludges. 

In used water reclamation plants, the media may contain grit, debris and stringy matter, hence causing corrosion/damage to the equipment.

Current Practice & Approach

IOT Sensors – Online Temperature Sensor and Vibration Sensors are currently used to monitor the equipment conditions. 

A dashboard platform is used for monitoring and alerts when the equipment health indicators (whose intelligence is derived from the datapoints gather from an IOT sensor tracking a particular equipment) shows a differing status from the baseline norm.

Ideal Solution


A smart pre-categorization of classification algorithm that can help to determine the type of contaminant in the water matrix (eg, organic based, anorganic/ion-based etc) upon an event occurrence.

Minimise Downtime



Increase Equipment Availability


Restore Operating Performance and Efficiency upon Maintenance

What’s in it for the
solution provider?

Possible Joint IP ownership

Distribution of IP via Optiqua and Zweec business distribution channels

piqued your interest?

Key Evaluation Criteria

1

Outcome-based: monitor enough parameters and data to consider maintenance regime that provides representative and accurate insights of the current condition of the asset.

2

Cost effectiveness against the proposed outcome

3

Cost competitiveness against existing solutions