
Case Study · IoT + Custom Software
Design and construction of autonomous environmental measurement stations in hard-to-access tributaries, connected via LoRaWAN to a real-time web map assisted by AI.
Our client, a university, needed to develop an institutional environmental monitoring project to study water quality in tributaries within its surroundings for scientific research, sustainability, and student training. The challenge was to obtain continuous and reliable data on critical parameters such as dissolved oxygen, pH, temperature, turbidity, dissolved solids, and conductivity in remote areas where there was no connectivity or infrastructure for data transmission. Without an automated solution, the project could not advance with the technical rigor or scale required.
We designed and built a complete custom remote monitoring system, in collaboration with the university, as the technological pillar of the project:
The geovisor interface allows viewing in real time the behavior and exact location of the distributed sensor nodes:
Autonomous operation
Stations powered by solar panels and batteries in hard-to-access areas.
Critical Parameters
Continuous measurement of pH, dissolved oxygen, temperature, turbidity, and more.
Manual Sampling
Elimination of physical sample collection in the field thanks to telemetry.
"We went from taking physical samples once a week to having precise readings every 5 minutes directly in the cloud. The research now has continuous scientific support."