AI-ready data, collected at the source

Sensor anomaly detection and gap-filling build the clean, reliable data layer that feeds the AI Hub.

Anomaly detection in sensor data
Automatic completion of missing or corrupted data points
Structuring collected data to feed the AI Hub's forecasting and optimization models
Improving data quality at the source with edge-side preprocessing
A consistent, AI-ready data model despite varied protocols and sensors

Sensor Anomaly Detection

Unexpected sensor behavior is flagged in real time.

Data Gap-Filling

Missing measurement points are filled in using learned models.

AI-Ready Data Layer

Collected data flows directly into the models in the AI Hub.

Connect any industrial device and sensor to the platform

The foundation of IoT infrastructure is reliable data collection from the field. AdAstra's device integration layer offers data collection capability from a wide range of devices — including PLCs (Siemens, Allen-Bradley, Mitsubishi, etc.), SCADA systems, temperature/pressure/vibration sensors, energy meters, and test equipment. Enable fast commissioning with a plug-and-play configuration interface.

Direct communication with Siemens, Allen-Bradley, Mitsubishi, Schneider, and other PLC brands
Integration with temperature, pressure, humidity, vibration, flow, and energy sensors
Configuration-based device definition: add new devices without writing code
Associate each data point with line, machine, and process through data tagging
Connection status monitoring and automatic reconnection mechanisms

Device Manager

Device definition, configuration, connection status monitoring, and device inventory.

Protocol Adapters

OPC-UA, Modbus, MQTT, BACnet, and HTTP/REST protocol connectors.

Data Tagging

Tag management, data point organization, and hierarchical configuration.

Track your operations instantly with live dashboards

Turning collected data into value requires proper visualization and accessibility. AdAstra's dashboard module lets you build customizable real-time panels with a drag-and-drop interface. Drill down to details at factory, line, machine, and sensor levels. Access from web browsers, mobile apps, and large-screen TVs.

Build custom panels with a drag-and-drop dashboard designer
Gauge, trend chart, bar chart, heat map, and table widgets
Drill-down navigation in Factory > Line > Machine > Sensor hierarchy
Responsive design compatible with web browsers, tablets, mobile, and TV screens
Display instant values without delay using live data streaming

Live Dashboard

Real-time data visualization, customizable panels, and widget library.

Factory View

Visualize machine statuses and metrics on a factory floor layout.

Trend Analysis

Historical data trend viewing, comparative analysis, and export.

Respond immediately to issues with an intelligent alarm system

Rapid response to anomalies in industrial operations minimizes production losses and quality issues. AdAstra's alarm management automatically generates alarms based on defined threshold values and sends SMS, email, and mobile notifications to the relevant personnel. Escalation rules automatically redirect unanswered alarms to higher management levels.

Define upper/lower threshold, trend, and comparative alarms for sensor and process values
Send email, SMS, and mobile push notifications when an alarm is triggered
Prioritization with alarm severity levels (info, warning, critical, emergency)
Escalation rules: forward unanswered alarms to upper management after a defined period
Alarm history, statistics, and analysis of the most frequently triggered alarm points

Alarm Engine

Threshold definition, alarm generation, severity levels, and alarm rules.

Notification Management

Multi-channel notifications (SMS, email, push), escalation, and response tracking.

Alarm Analytics

Alarm statistics, recurring alarms, root cause analysis, and optimization.

Store high-volume industrial data securely and accessibly

Industrial IoT systems generate thousands of data points per second. Reliable storage of this data is essential for retroactive analysis and regulatory compliance. AdAstra's data storage solutions store large volumes of industrial data long-term without compromising performance using time-series databases, data compression, and archiving policies.

High-speed industrial data write and query with a time-series database (TSDB)
Optimize storage costs with data compression algorithms
Archiving policies: summarize raw data after certain periods and archive
Retroactive data querying and analysis for trend and pattern detection
Data backup and replication to safeguard against data loss

Time Series DB

High-performance industrial data storage, compression, and querying.

Data Archiving

Automatic data aging, summarization, and long-term archiving policies.

Data Backup

Automatic backup, replication, and disaster recovery infrastructure.

Pre-process at the field, optimize network bandwidth and latency

Sending all data to a central server strains network bandwidth and introduces latency. AdAstra's edge computing solutions perform local data processing, filtering, aggregation, and alarm control on industrial gateway devices, transmitting only meaningful data to the center. Prevent data loss with a local data buffer even when connectivity is lost.

Reduce network traffic with local data filtering and pre-processing on edge gateways
Detect critical alarms locally even if connectivity is lost
Locally buffer data when connectivity is lost with a store-and-forward mechanism
Securely transmit data to the center with edge-to-cloud synchronization
Remote edge gateway configuration and software updates

Edge Gateway

Industrial gateway hardware, local data processing, and protocol conversion.

Edge Analytics

Real-time on-site analysis, filtering, and alarm control.

Remote Management

Remote configuration, monitoring, and updates for edge devices.

Unify industrial communication protocols on a single platform

Devices from different manufacturers in industrial facilities use different communication protocols. AdAstra's protocol management layer unifies heterogeneous device environments on a single data platform by supporting common industrial protocols such as OPC-UA, Modbus TCP/RTU, MQTT, BACnet, Profinet, and HTTP/REST.

OPC-UA: industrial standard for secure and structured data exchange
Modbus TCP/RTU: widely used integration with PLCs, sensors, and energy meters
MQTT: lightweight and flexible IoT messaging protocol, reliable even on low bandwidth
BACnet: integration with building automation systems and HVAC devices
REST API: connectivity with web-based services, cloud platforms, and custom applications

Protocol Framework

Multi-industrial protocol support, automatic discovery, and connection management.

Data Normalization

Converting data from different sources to a standard format and merging.

Connection Monitoring

Device connection status, signal quality, and communication performance tracking.

IoT & Data Collection

Collect your industrial data in real time and turn it into value

Wide Protocol & Device Support

Instant Visibility & Proactive Response

Scalable Architecture from Edge to Cloud

Core Solutions