Challenges
Digital Water Hackathon Problem Statements
Problem Statements
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1. Monitoring & Predicting Performance of Pumps and other Water-Related Equipment
To monitor the condition of Mechanical & Electrical (M&E) equipment with minimal manpower, at a lower cost (in terms of Capex and Opex) than current approach.
2. Leak Detection & Prediction in Water Pipes
To accurately forecast when (both date and time) and where (to within a few metres) a pipe in the Potable, NEWater and Industrial Water transmission and distribution network might be going to leak.
3. Reliable, low-cost method to detect toxicity events affecting the operation of industrial wastewater treatment plants
How can Sembcorp be supported with a cost-efficient data driven approach to detect, categorize and potentially predict toxic events in the inflow of an industrial wastewater treatment plant?
4. A reliable, low-cost monitoring and control concept for small-scale remote industrial wastewater treatment plants
Compared to conventional monitoring and control approaches, is there a lower-cost, but still reliable solution for Sembcorp to manage its smaller sized plants remotely?
5. Real time optimization of a wastewater treatment plant based on low pressure membranes (ultra filtration)
Based on which data and model driven approach could Sembcorp optimize its membrane-based plant operations with the end goal of reducing chemical, electrical usage and achieve high water recovery?
6. Contaminant Estimation at Certain Events by using Different Information Sources
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?
Why Outdoor Adventure
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- Experience: Locavit liberioris possedit
- Reputation: Diremit mundi mare undae
- Guide Experience: Spectent tonitrua mutastis
What You Get
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- Private Hike: Locavit liberioris possedit
- Transportation: Diremit mundi mare undae
- Great Facilities: Spectent tonitrua mutastis