1 / 3Project Background
As China's 14th Five-Year Plan raised the bar for river and lake protection, environmental authorities expanded online monitoring of surface waters. In Guangdong, a river basin needed high-frequency, low-cost monitoring across its target reach.
Customer Challenge
Protecting a whole river reach means watching many points at once, continuously — with equipment that stays stable outdoors, needs little maintenance and reports data remotely for early warning.
The TENGINE Solution
Nine MWM micro water quality monitoring & warning stations were deployed across the target river section, monitoring ammonia nitrogen, dissolved oxygen, ORP and transparency in real time. Built on modern sensor technology, automatic control and dedicated analytics, the cabinet-style stations self-clean, run stably for long maintenance cycles, and feed the IoT cloud platform for remote supervision and alarms.
Implementation
Nine monitoring stations were sited along the target reach in Guangdong, each running automatically with self-cleaning and remote data upload to the cloud platform.
Project Results
The basin now has long-term, stable, real-time monitoring across nine points — giving the authority continuous data and early warning to keep the river's water quality safe.
Related Case Studies
The river basin needed continuous, automated water-quality supervision across multiple points — with the ability to warn of risks before incidents happen, not just record them afterwards. Dispersed sites demanded compact, low-maintenance stations with dependable digital sensing.
River sites demand equipment that survives outdoor conditions with minimal attention: fast water-sample exchange for truthful readings, long maintenance intervals, and simple installation without buildings or extensive infrastructure.
Outfall regulation requires trustworthy, continuous data at the river points downstream of discharge outlets — monitoring COD and ammonia nitrogen where pollution would actually show up, and feeding the district's smart platform for governance decision-making.
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