Modules

Measurement of current total energy consumption.

Measurement of high-demand appliances to derive energy flow maps in the building: Electricity | heat | gas | water | technical gases (nitrogen, hydrogen, and others) | measurement of qualitative parameters if needed (power factor, reverse energy, distortion) | historical overviews | analytical functions - zooming, curve correlations, custom graphs | trends and forecasts.

Indoor environment control: monitoring of environmental sensors | temperature, humidity, air quality (CO, CO2), floods, presence, light intensity, and many other sensors.

Temperature and air quality control: regulation of heating, ventilation, air conditioning, or recovery | the building is divided into zones (rooms) | temperature and air quality (CO2 + quality) based on individually regulated zones | synchronized HVAC and recovery system control based on demand | intelligent ventilation based on CO2 and air quality criteria | window controls (open/close) and HVAC operation monitoring | control based on weather data and forecasts | quick programmable temperature/program selection buttons | weekly heating/ventilation programs based on user preferences and settings.

Support for analytical functions where any input and output (sensor, device, binary state) can record historical data that can lead to individual graphical reports presented in user panels.

Includes basic line and column charts, time diagrams, cumulative volume charts, stacked charts, pie charts, Sankey charts, correlation charts, temperature map charts, and more. Correlation charts further support optional calculations of mathematical series.

Any input/output can have threshold points set for normal operation and triggering events in case of unusual behavior.

Alarm events can be sent as emails, SMS messages, or pushover (instant messaging) notifications or specific commands that can trigger additional external visualized (flashing) or sound alarm systems.

Granularity of historical records is based on received or retrieved raw data from sensors/devices or filtered by hourly/day/week/month/year.

Export in xls, csv, or image format is natively supported.

The solution can be further extended with specific diagnostic sensors and analytics. In such a case, a specific machine learning (ML / AI) algorithm would provide anomaly detection and early warnings based on measurement analysis and behavior patterns.

Monitoring and analysis of production using production parameters.

Support for basic data statistics: quantity (QTY), volume (volume), working hours (H / M / S), distance (meters), speed (m/s, km/h), etc.

Monitoring energy consumption and temperature, humidity, and CO2 air quality on each production site (shop) - for ESG rating calculation (Environmental, Social, and Governance).

Analyzing production or product delivery times on a daily or weekly basis.

This information helps to manage machines more efficiently and determine the most efficient production.

Security monitoring - based on multiple inputs such as presence detectors, cameras, doors, windows, motion detectors, and more.

Security control is based on rules (security scripts) such as setting different security scenarios, arming, disarming, or monitoring.

Customized views can be created according to requirements.

Visualization includes building plans and complex images.

Control and monitoring based on mapping.

Basic: Collecting data (counter, fullness sensor, temperature, humidity) and providing waste information to users and monitors.

Advanced: Monitors provide information on a specific waste management system and alert operators to collecting full containers.