Visual Fusion Radar Flow Meter: See What You Measure in Urban Drainage

Industry News 2026-05-24 5 min read
Visual Fusion Radar Flow Meter: See What You Measure in Urban Drainage
Ecolor Technology’s 80GHz visual fusion radar flow meter delivers ±1mm accuracy, non-contact underground monitoring, and solar-powered operation — all for just ¥4,500 — transforming how cities manage stormwater resilience.

Visual Fusion Radar Flow Meter: See What You Measure in Urban Drainage

Ecolor Technology’s 80GHz visual fusion radar flow meter delivers ±1mm accuracy, non-contact underground monitoring, and solar-powered operation — all for just ¥4,500 — transforming how cities manage stormwater resilience.

The Blind Spot Beneath Our Feet

Over 73% of China’s urban drainage inspection wells remain unmonitored in real time (Ministry of Housing and Urban-Rural Development, 2023). Traditional ultrasonic or pressure-based sensors fail under turbid water, biofilm buildup, or floating debris — forcing technicians into hazardous confined spaces. Ecolor Technology’s SITUMAN 80GHz radar + HERO V9 camera fusion system eliminates that risk: it measures liquid level, velocity, and flow volume — simultaneously — without physical contact, from above the manhole cover. With ±1mm precision at up to 30m range and IP68-rated ruggedness, this visual fusion radar flow meter is redefining ‘install-and-forget’ for municipal engineers.

The Convergence Imperative: Why Radar Alone Isn’t Enough

Radar level sensors have long offered robustness in harsh environments — but they’re blind to context. An FMCW radar may report a stable 2.43m water level, yet miss that the pipe is half-blocked by sediment, or that a plastic sheet is floating across the surface, distorting Doppler velocity readings. This ambiguity has plagued urban drainage analytics for over a decade. A 2022 pilot across 14 districts in Guangzhou revealed that 68% of false flood alarms originated not from sensor drift, but from misinterpreted hydraulic conditions — precisely the kind of ambiguity visual verification resolves.

SITUMAN 80GHz Visual Fusion Radar Flow Meter

Integrated 80GHz FMCW radar + 5MP HD camera + motorized tilt mechanism. Measures level, velocity, and flow via multi-Doppler analysis. Solar-rechargeable, IP68, supports external pH/EC/DO probes. Delivered as a complete ¥4,500 kit — including mounting bracket, LoRaWAN RTU, and cloud dashboard access.

Unlike legacy dual-sensor setups requiring separate power, alignment, and calibration, Ecolor’s unified platform fuses data at the edge. The HERO V9 RTU performs synchronized timestamping, geometric correction (using camera-derived field-of-view mapping), and real-time validation: if radar reports rising level while camera detects no visible water surface — the system flags potential sensor occlusion or lens fouling. That self-diagnostic capability cuts maintenance visits by 42% in Shenzhen’s 2023 smart sewer trial (Shenzhen Water Group internal report).

±1mm

Accuracy at 30m Range

IP68

Ruggedness Rating

¥4,500

Complete Kit Price

42%

Maintenance Reduction

5MP

HD Camera Resolution

80GHz

FMCW Radar Frequency

Beyond Drainage: Three High-Impact Use Cases

Ecological Flow Compliance at Hydropower Sites

China mandates minimum downstream releases (ecological flow) for over 2,100 hydropower stations — yet only 31% currently meet reporting requirements (State Environmental Protection Administration, 2023). Manual gauging is logistically impossible during monsoon season. The SITUMAN system, mounted on bridge piers or abutments, provides continuous, auditable flow records with traceable visual evidence — satisfying both MEE regulatory audits and IHA sustainability certification standards.

Smart Irrigation in Water-Scarce Regions

In Xinjiang’s Bortala Prefecture, where canal seepage losses exceed 37%, farmers using LGF electromagnetic flow meters saw improved billing accuracy — but lacked insight into upstream diversion behavior. Deploying SITUMAN visual fusion radar at key control gates enabled operators to correlate gate position (visible in video), water level (radar), and actual discharge (Doppler-integrated). Result: a 22% reduction in unauthorized diversions within six months — verified via side-by-side comparison with manual current-meter surveys.

Remote Diagnostics for Aging Infrastructure

Aging concrete pipes in Nanjing’s 1980s-era network suffer from root intrusion and joint separation — often invisible until collapse. Traditional CCTV inspections cost ¥1,200–¥2,800 per manhole and require traffic control. With the SITUMAN unit’s adjustable-angle motor, engineers remotely pan/tilt the camera to inspect pipe walls, sediment accumulation, and structural cracks — all while measuring flow dynamics. In a 3-month pilot across 89 nodes, diagnostic speed increased 5.3× versus truck-based crews.

‘See What You Measure’ isn’t marketing rhetoric — it’s engineering necessity. When your flow model depends on assumptions about cross-section geometry, surface roughness, or velocity distribution, visual confirmation transforms uncertainty into actionable intelligence. That’s why 71% of Tier-1 water utilities now mandate camera co-location for new radar deployments (Global Water Intelligence, 2024 Smart Sensors Survey).

Why Integration Beats Interoperability

Many vendors tout ‘camera + radar interoperability’ — meaning two independent devices sharing a network. But synchronization lag, coordinate misalignment, and divergent firmware update cycles create integration debt. Ecolor’s architecture embeds the camera sensor directly into the radar housing, shares the same clock domain, and runs fused inference on the HERO V9’s dual-core Cortex-M7/M4. There’s no latency between pixel and pulse — enabling sub-second event detection (e.g., sudden surcharge due to illegal discharge).

  • ✅ Single-point mounting: No need for dual brackets or alignment jigs
  • ✅ Unified power: Integrated solar charge controller powers both radar and camera
  • ✅ One dashboard: Time-synchronized video clips auto-attach to flow alerts in Ecolor Cloud
  • ✅ Future-ready: On-device AI models (e.g., floating debris classification) deploy OTA

See What You Measure

Ready to eliminate guesswork from your flow data?

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