SIM_LINK: R&D PHASE

AQUASENTINEL

Autonomous Water Monitoring Platform

Real-time water intelligence from autonomous surface missions. AquaSentinel maps environmental gradients autonomously, transforming sparse water-quality readings into spatial intelligence.

> MISSION: GRID_SCAN_04 > STATUS: SAMPLING > BATTERY: 82% > SENSOR_STAT: ALERT_DATA
> CHL-A: 23.0 µg/L [HIGH]
> DO: 3.1 mg/L [LOW]
NODE // WAYPOINT RED_PING // SURFACE_ANOMALY
0M 5M 10M 15M
> 3.0M
AQS-01
> SYNC_RATE: 144HZ
> POS_FIX: RTK_FLOAT
01 // PLATFORM ARCHITECTURE ACTIVE
AQUASENTINEL
ENV: INLAND WATER / PORTS / AQUACULTURE
MODE: GRID / CORRIDOR / VIRTUAL ANCHOR
YSI EXO2s INTEGRATION
SENSORS: PH / DO / TEMP / TURBIDITY
> DATA: REAL-TIME STREAM
AUTONOMY LAYER
STACK: JETSON / PIXHAWK / STM32
NAV: GPS RTK / IMU / CAMERA
DATA LAYER
OUTPUT: HEATMAPS / ALERTS / API / SCADA
STATUS: R&D PHASE

02 / WHY IT EXISTS

OPERATIONAL IMPERATIVE
ERR_01
water_drop

MANUAL SAMPLING

Traditional point-sampling is labor-intensive, slow, and exposes personnel to hazardous environments. The delay between collection and laboratory analysis renders the data obsolete for immediate operational response.

ERR_02
scatter_plot

SPARSE DATA

Fixed buoys provide high-frequency data but zero spatial resolution. They fail to capture gradients, plumes, or localized contamination events, creating critical blind spots in environmental monitoring.

ERR_03
warning

LATE RESPONSE

Without real-time spatial intelligence, mitigation efforts are reactive rather than proactive. By the time a scattered dataset is compiled and analyzed, the environmental or operational impact has already occurred.

WATER DOES NOT WAIT FOR THE LABORATORY.
DATA SHOULD NOT WAIT EITHER.