Break Free from Vendor Lock-In with Universal IoT Integration

• Most facility management systems force you to buy their proprietary sensors and hardware at inflated prices. FacilityFlow takes the opposite approach: we support every major industrial IoT protocol, allowing you to use any sensor from any manufacturer.
• Whether you're monitoring HVAC systems with BACnet, connecting industrial equipment via Modbus, tracking energy consumption through smart meters, or deploying custom sensors via MQTT, FacilityFlow handles it all in one unified platform.
• Our IoT engine processes real-time data from thousands of sensors simultaneously, triggering automated work orders, sending instant alerts, and feeding predictive AI models that prevent equipment failures before they happen.

How IoT Integration Works in FacilityFlow

Step-by-Step Process Description:

Step 1: Sensor Data Collection:

• Sensors continuously monitor equipment and environmental conditions, transmitting data via their native protocol (MQTT, Modbus, BACnet, etc.). Data is sent to on-premise edge gateways or directly to the cloud depending on your network architecture.

Step 2: Protocol Conversion & Edge Processing:

• Edge gateways convert proprietary protocols to standard formats, perform local data buffering during network outages, and can execute time-critical edge logic before sending data to the cloud.

Step 3: Cloud Data Ingestion:

• FacilityFlow's IoT platform receives sensor data via secure encrypted connections, processes 10,000+ messages per second, and stores time-series data in high-performance databases optimized for sensor data queries.

Step 4: Rules Engine & Automation:

• Incoming sensor data is evaluated against user-defined rules. When thresholds are exceeded or patterns detected, automated actions are triggered: work orders created, alerts sent, equipment adjusted, or ML models activated.

Step 5: Visualization & Analysis:

• Real-time and historical sensor data appears instantly in dashboards, feeds predictive AI models, generates reports, and integrates with maintenance workflows—creating a closed-loop intelligent facility management system.

Real-World IoT Applications Across Industries

🏭 Predictive Maintenance for Production Equipment:

Scenario: A food processing facility uses FacilityFlow to monitor 150+ motors, pumps, and conveyor systems via vibration and temperature sensors connected through Modbus TCP.

Implementation:

• Vibration sensors on critical motors (Modbus RTU)
• Temperature probes in refrigeration units (MQTT)
• Energy meters on production lines (Modbus TCP)
• PLC integration for production data (OPC-UA)

Results:

• 47% reduction in unplanned downtime
• Early failure detection 14 days in advance
• $230K annual maintenance cost savings
• 99.2% equipment availability achieved

🏢 Smart Building Energy Optimization:

Scenario: A 500,000 sq ft office tower integrates existing BACnet HVAC systems with new IoT sensors to optimize energy consumption and tenant comfort.

Implementation:

• BACnet integration with existing BMS (50+ HVAC units)
• MQTT temperature/humidity sensors in 200+ rooms
• Energy submeters via Modbus (electricity, water, gas)
• Occupancy sensors for lighting control (REST API)

Results:

• 28% reduction in energy costs ($180K annually)
• Automated HVAC adjustments based on occupancy
• Real-time tenant comfort monitoring
• ISO 50001 energy certification achieved

🏥 Medical Equipment & Environment Monitoring:

Scenario: A multi-building hospital campus monitors critical medical equipment, cold storage, and environmental conditions to ensure patient safety and regulatory compliance.

Implementation:

• Temperature monitoring in pharmacies and blood banks (MQTT)
• Medical equipment status tracking (REST API)
• HVAC monitoring for operating rooms (BACnet)
• Emergency generator monitoring (Modbus)

Results:

• 100% compliance with CDC cold chain requirements
• Zero vaccine/medication losses due to temperature excursions
• Automated alerting for critical equipment failures
• Complete audit trail for regulatory inspections

🖥️ Environmental & Equipment Monitoring:

Scenario: A colocation data center monitors environmental conditions, power distribution, and cooling systems to maintain 99.99% uptime SLA.

Implementation:

• Temperature/humidity sensors throughout facility (MQTT)
• UPS and PDU monitoring (Modbus TCP)
• CRAC unit integration (BACnet)
• Water leak detection sensors (MQTT)

Results:

• 99.99% uptime maintained
• 15-minute advance warning of cooling failures
• $500K prevented by early leak detection
• Energy efficiency improved by 18%

Enterprise-Grade IoT Platform Specifications

• Data Ingestion
• • Message Throughput: 10,000+ messages per second
  • Latency: < 100ms for critical alerts
  • Concurrent Connections: Up to 50,000 simultaneous sensors
  • Data Retention: Configurable (default: 2 years)
• Supported Protocols
• • MQTT: v3.1.1, v5.0 (QoS 0/1/2, TLS/SSL)
  • OPC-UA: Binary/XML encoding, all security modes
  • Modbus: RTU (RS-485/232), TCP/IP
  • BACnet: BACnet/IP (UDP), MSTP (serial)
  • REST API: JSON over HTTPS, OAuth 2.0
  • WebSocket: WSS (secure), full-duplex
• Data Storage
• • Database: Time-series optimized (InfluxDB)
  • Compression: Automatic (10:1 ratio typical)
  • Querying: SQL-like query language
  • Aggregations: Min/max/avg/sum, custom functions
• Security
• • Encryption in Transit: TLS 1.2/1.3 (AES-256)
  • Encryption at Rest: AES-256
  • Authentication: OAuth 2.0, API keys, cert-based
  • Network Isolation: VPN, private subnet support
  • Compliance: SOC 2 Type II, ISO 27001
• Automation & Rules
• • Rule Types: Threshold, pattern, time-based, complex logic
  • Actions: Work orders, alerts, API calls, equipment control
  • Scripting: Python for custom logic
  • Notification Channels: Email, SMS, push, Slack, webhooks
• API & Integration
• • REST API: 200+ endpoints
  • Rate Limits: 1000 requests/minute (configurable)
  • Webhooks: Outbound for events
  • SDK: Python, JavaScript, Java
• High Availability
• • Uptime SLA: 99.9% guaranteed
  • Redundancy: Multi-zone deployment
  • Failover: Automatic (< 30 seconds)
  • Backup: Daily automated, 30-day retention
• Edge Computing
• • Edge Gateways: Raspberry Pi, industrial gateways
  • Offline Operation: 30-day data buffering
  • Edge Processing: Local rules, filtering, aggregation
  • Sync: Automatic when connection restored