PS-Board is a comprehensive IoT platform, providing a unified solution for managing, monitoring and controlling distributed asset and device systems.
Entity Management: Manage the lifecycle of devices and assets, allowing the definition of complex and hierarchical relationships.
Data Collection and Visualization: Collect data from devices via multiple protocols (MQTT, HTTP, CoAP,...) and visualize information vividly through a flexible, customizable dashboard system.
Two-way Control and Interaction: Send remote control commands to devices and actuators, ensuring real-time monitoring and operation.
Automation with Rule Engine: Build logical workflows based on events and queries, allowing automation of complex operational processes.
Extensibility and Customization: Supports setting up business rules and allows embedding custom code to meet specific user requirements.
| Category | Specification / Description |
|---|---|
| Current Version | Ubuntu 24.04 and Docker deployment |
| Type | Enterprise IoT Platform – device and asset management, data collection, processing, and visualization |
| Target Use Cases | Large-scale device management, multi-tenant architecture, industrial data integration, smart enterprise |
| System Performance | - >10,000 devices per single server - 100+ million messages/hour - Cluster supports millions of devices & billions of messages/hour |
| Clustering Support | Yes – linear scaling, zero downtime when adding new nodes (HA + Load Balancing) |
| Supported Protocols | MQTT, CoAP, HTTP, LWM2M, SNMP, Modbus, OPC-UA, BACnet, LoRaWAN, Sigfox, AWS IoT, Azure IoT, Kafka, Google Pub/Sub |
| Data Processing | Advanced Rule Engine (drag-and-drop designer), branching logic, AI Model Nodes for anomaly detection, predictive analytics |
| AI / ML Capabilities | Yes – AI Rule Nodes for smart analytics, local ML via API |
| Visualization & Dashboards | Real-time dashboards with 30+ widgets, custom charts, maps, gauges, heatmaps; export CSV/XLS/PDF auto-reporting |
| Reporting & Scheduler | Automatic scheduling for exports, reporting, remote procedure calls (RPC), and configuration updates |
| User Management & Security | - Hierarchical admin levels (System, Tenant, Customer) - Advanced RBAC - SSO/OAuth2 - Audit Log, Secrets Storage, API rate limiting |
| White-labeling | Customize logos, UI, email templates, and language per tenant or customer |
| Device / Asset Management | Claim/provision via API & CSV, OTA Update, grouping, templates, entity linking, 400+ payload codec samples |
| Database | PostgreSQL + TimescaleDB for telemetry, Redis/Kafka for distributed caching and event streaming |
| Minimum Hardware | RAM ≥ 8GB (recommended 16GB+ for cluster) CPU ≥ 4-core SSD ≥ 100GB x86-64 architecture, Linux/Windows Server |
| OS / Deployment Options | Linux, Windows, Docker, Kubernetes, Amazon AMI, Azure VM, DigitalOcean, Private Cloud / On-premise |
| API Interaction | REST API, WebSocket, RPC, gRPC for Edge connections; NB-IoT, Secure TLS, token-based authentication |
| Deployment Models | - Self-managed On-premise/Cloud - Managed Public Cloud - Managed Private Cloud with premium support |
| Support & Updates | Commercial subscription includes regular upgrades, official technical support from PISA |
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