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Ecomo Cube

Generating asset data with intelligent smart IoT sensor to create tangible value for the new era of healthy drinking water

Differentiate your Product from Competitors

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Visible water quality change (score) before vs. after filtration.

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Creative user interface for ongoing data collection.

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Filter reminder, preventing saturated filters from becoming the source of contamination.

Monitoring Key Indicators in Real-time

Our uniqueness lies in the designs of microfluidics and mini-spectrophotometry to achieve the real-time water quality monitoring feature.

TOC

Pesticides, pharmaceuticals, and petroleum products

Heavy Metal

Lead

Temperature

Water temperature

Turbidity

Silt, rust, and cloudiness

pH

Acidity and alkalinity

TDS

Dissolved minerals, salts, and other impurities

TOC

Pesticides, pharmaceuticals, petroleum

Heavy Metal

Lead

TDS

Total dissolved ions

Turbidity

Cloudiness caused by particles

pH

Acidity and alkalinity

Temperature

Water temperature

Microfluidics and Spectrophotometry Sensing Technology

Water Safety

BOD, COD, TOC
Aromatic Hydrocarbons
Total Phosphorus & Nitrogen

Air Pollution Monitoring

PM2.5
SO2,NOx

Life Science

DNA sequencing
Protein screening
Nucleic Acid & Protein measurements
Gene mutation and gene expression analysis

Medical

Skin & Breast Cancer
Jaundice Disease




Food Safety

Mercury & Melamine
Aflatoxin Poisoning
Foodborne Pathogens
SO2,NOx

Visible Difference in Water Quality

Unique dual inlet design allows users to check and compare water quality before and after filtration.

Technical Specifications

Output

Standard UART

Parameters

TOC, COD, TDS, Turbidity, Temperature

Dimension

65 * 42 * 23

Features

Full anti-interference protection
Customizable
Service life of 6 years
Duel inlet design

Backend System

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Improve device   Through sensor network + machine learning for maintenance information and preventing possible errors.
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Enhance operational transparency   Through a unified data platform to achieve data integration and information sharing.
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Achieve scientific decision-making   Combining multiple data sources into the same model system to find the implicit similarity in data and providing new insight for innovative applications.