Environmental monitoring
Air quality, PM2.5, PM10, temperature, humidity, pressure and other parameters depending on installed sensors.
Environmental IoT Monitoring System
OA EnviroSenseEnvironmental IoT monitoring system
A professional IoT solution for collecting, transmitting, archiving and analyzing environmental data from distributed measurement devices. EnviroSense supports ESP32 devices, secure payload transmission, environmental alerts and self-hosted deployments.
ESP32PM2.5 / PM10AES-256-CBCHMAC-SHA256GSM/LTELoRaSMSSelf-hostedRedisInfluxDBPostgreSQLMariaDB
A complete system from sensor to decision
EnviroSense combines measurement devices, secure transmission, server backend, live data presentation, measurement history and alert handling in one consistent solution.
ESP32 devices
Modular measurement points for distributed installations, with cyclic data transmission and sensor sets adjusted to the monitored location.
Payload security
AES-256-CBC and HMAC-SHA256 protect data independently from transport-layer stability.
Servers and scaling
Variants from pure PHP to native C++ applications with Redis or InfluxDB for very large installations.
Deployment offer
License variants and cooperation models selected for installation scale, technical requirements and maintenance plan.
Measurement demo
Public Demo/Live view presenting current readings from active devices and the freshness of measurement transmission.
About the company
Information about OA Technologies Sp. z o.o., deployment approach, delivery model and the scope of EnviroSense solutions.
Deployment contact
Contact with the OA Technologies team for deployments, integrations, device configuration and system variant selection.
Why EnviroSense?
Self-hosted data control
Environmental data can remain in the owner’s infrastructure: locally, on VPS or in a private cloud.
Designed for difficult conditions
The architecture accounts for unstable links, cellular networks, GSM/SMS and LoRa.
Scales with demand
Start with a small installation and move to native C++ servers and time-series databases when needed.