Skip to main content

Environmental Monitoring (Quan trắc)

Sensing physical conditions continuously to protect people, comply with regulations, optimize production, and study nature. All of these share the IoT pattern — they differ mainly in what they measure and where they run.

Construction-site monitoring​

Track conditions on and around a site for safety and compliance.

  • Measure: dust (PM2.5/PM10), noise, vibration, air quality (CO, VOC), weather (wind/rain).
  • Why: protect workers and neighbors, meet environmental limits, document compliance.
  • Act: real-time alerts when thresholds are exceeded; automatic logging for reports.

Workplace / occupational environment​

Monitor the environment workers are exposed to indoors.

  • Measure: temperature & humidity, noise level, dust/particulates, gas (CO, COâ‚‚), lighting.
  • Why: worker health & safety, occupational-hygiene compliance, comfort/productivity.
  • Act: ventilation control, warning lights/buzzers, shift exposure logs.

Smart agriculture​

Data-driven farming that saves water and improves yield.

  • Measure: soil moisture & temperature, air temp/humidity, light, rainfall, leaf wetness.
  • Act: automated irrigation, greenhouse climate control, frost/heat alerts.
  • Notes: fields are large and remote → favor LoRaWAN + solar + low-power nodes.

Aquaculture (water quality)​

Keep fish/shrimp ponds healthy and reduce losses.

  • Measure: dissolved oxygen (DO), pH, temperature, salinity, turbidity, ammonia.
  • Act: control aerators and feeders; alarm on dangerous DO/pH swings (often at night).
  • Notes: waterproof/rugged sensors, calibration and biofouling are real challenges.

Wildlife & habitat monitoring / conservation​

Study and protect animals and ecosystems.

  • Measure / collect: animal GPS/tracking collars, camera traps, acoustic sensors (bird/bat/insect calls), habitat climate.
  • Why: biodiversity research, anti-poaching, migration and behavior studies.
  • Notes: extreme low power and long range (LoRa, satellite/cellular), rugged & weatherproof, very long battery life.

Specialized measurement devices & GIS integration​

  • Integrate IoT into purpose-built instruments — turn a standalone meter into a connected, logging, remotely-readable device.
  • Calibration & data validation matter: an unvalidated sensor produces confident nonsense.
  • Map integration (GIS): geotag readings and feed a live map/heatmap so spatial patterns (a pollution plume, a dry zone) become visible.
Remote = power + connectivity first

For sites, farms and the wild, solve power (solar/battery + low-power design) and connectivity (LoRa/cellular/satellite) before features. A node that dies or goes silent collects no data.

Calibrate, then trust

Environmental decisions ride on these numbers. Calibrate sensors, sanity-check ranges, and flag drift — bad data is worse than no data.