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Evie Huang sales consultant
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Email: Sales@matictest.com
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Phone/WhatsApp: +86 18996117830
Blog
Designing an IoT Architecture for Water Quality Monitoring: From Sensor to Cloud
A four-layer reference architecture for water quality IoT — perception, transmission, platform and application — with practical guidance on protocols, power budgeting, data quality and alarm design.
Ion-Selective Electrodes in Industrial Wastewater: Ammonium, Fluoride and Beyond
How ion-selective electrodes work, why interference and pH range matter more than accuracy specs, and a practical guide to deploying ammonium, fluoride, calcium and sodium sensors in industrial effluent.
How to Build a River Water Quality Monitoring Station: Site Selection, Parameters and Compliance
A practical framework for planning a river monitoring station — where to site it, which parameters to measure, how to handle power and communications, and what determines whether the data is defensible.
Turbidity Measurement Explained: NTU, Scattering Geometry and Sensor Selection
Turbidity looks simple but hides real measurement subtleties. This guide covers what NTU means, why 90-degree infrared scattering is the standard geometry, how to choose a range, and what causes drift.
COD vs BOD vs TOC: Choosing the Right Organic Pollution Indicator
COD, BOD and TOC all describe organic pollution but answer different questions. This guide explains what each measures, where each is required, and how to choose for compliance, process control and online monitoring.
Dissolved Oxygen in Aquaculture: Why It Matters and How to Monitor It Effectively
Dissolved oxygen is the parameter that decides survival in aquaculture. This guide covers what governs DO levels, how to place sensors, how to link monitoring to aeration control, and the mistakes that lead to losses.
Understanding pH Measurement in Water Quality Monitoring: Principles, Calibration and Common Errors
A practical guide to how pH electrodes work, why temperature compensation and calibration decide your accuracy, and the installation mistakes that cause most field pH errors.
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