Measuring points
Field devices read data from selected sensors and transmit it to the server endpoint at the configured interval.
EnviroSense
EnviroSense is designed for real environmental data: it collects measurements from distributed devices, secures transmission, stores records in the selected backend and makes them available to operators through alerts, reports and live views.
Field devices read data from selected sensors and transmit it to the server endpoint at the configured interval.
The server validates the device identifier, transmission source and data structure before saving the measurement in the configured database.
The system can compare values against thresholds, register events, handle alerts and prepare data for reporting.
Deployment can run in the customer’s infrastructure without requiring data transfer to a public cloud.
The system receives data from distributed measurement points, including ESP32-based configurations and environmental sensors.
Transmission may use AES-256-CBC and HMAC-SHA256, protecting the measurement payload itself, not only the transport channel.
EnviroSense can run on the customer’s server, VPS, private cloud or on-premise environment.
Threshold rules help detect exceedances, anomalies or missing transmission from selected devices.
Data can be archived according to project requirements, from simple installations to high-volume backends.
The architecture enables exports, APIs or connections with operator panels and customer reporting systems.
Air quality monitoring, trend analysis and exceedance control at measurement points.
Gas parameters depending on selected sensors and location requirements.
Supporting meteorological data for interpreting environmental readings.
Measurement points can be extended with sensors for technical or research scenarios.
The sensor performs a measurement according to device configuration and transmission schedule.
The device sends its identifier, parameters and measurement time; the server verifies the source.
The backend stores the record in a data layer selected for live reads, relational data or time-series history.
The system compares values with thresholds, aggregates data and prepares it for operator views.
Alerts and operating procedures may be triggered when exceedances or transmission gaps occur.
Historical data supports trend evaluation, location control and environmental documentation.