IoT-LogIQ ร— Honeywell

Industrial SCADA & Building Automation Integration
Enhanced Architecture with SCADA Widgets, Intelligent Poll Management & Multi-Protocol Support

Executive Overview

IoT-LogIQ extends Honeywell industrial and building automation systems (Experion PKS, Niagara, WEBs) with wireless sensor networks, edge intelligence, and cloud analyticsโ€”delivering predictive maintenance, energy optimization, and advanced SCADA visualization without disrupting existing control systems.

200+ Wireless Sensor Models
70-90% Cost Reduction vs. Traditional SCADA
30-50% Network Traffic Optimization
72hr Edge Autonomy (Cloud Fail)
1-5sec HMI Refresh Rate
5-10yr LoRaWAN Battery Life

๐ŸŽฏ Integration Philosophy

  • Non-disruptive: Reads from Honeywell systems via standard protocolsโ€”no control system modifications required
  • Additive: Extends existing deployments with wireless sensors, edge intelligence, cloud analytics
  • Protocol-native: Speaks BACnet/IP, OPC UA, Modbus TCPโ€”languages Honeywell already uses
  • Bidirectional: Read telemetry + write setpoints/commands when authorized

Enhanced Network Architecture

Pattern B architecture showing integrated SCADA Widget System and Poll Management System within IoT-LogIQ Edge gateway.

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚  IoT-LogIQ Cloud (AWS/Azure)                                    โ”‚
โ”‚  โ€ข Predictive maintenance models (ML/AI)                        โ”‚
โ”‚  โ€ข Equipment health dashboards (enterprise view)                โ”‚
โ”‚  โ€ข Historical analytics & trend visualization                   โ”‚
โ”‚  โ€ข API gateway for third-party integrations                     โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
                           โ”‚ MQTT/TLS (encrypted, bidirectional)
                           โ”‚
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ–ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚  IoT-LogIQ Edge (Per Plant) - Advantech UNO-2271G              โ”‚
โ”‚  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”  โ”‚
โ”‚  โ”‚ SCADA Widget System                                  โ”‚  โ”‚
โ”‚  โ”‚ โ€ข Real-time HMI dashboards (HTML5/React)                 โ”‚  โ”‚
โ”‚  โ”‚ โ€ข Equipment status widgets (motor health, vibration)     โ”‚  โ”‚
โ”‚  โ”‚ โ€ข Process mimics (P&ID overlays with live data)          โ”‚  โ”‚
โ”‚  โ”‚ โ€ข Alarm summary panels (active/acknowledged/resolved)    โ”‚  โ”‚
โ”‚  โ”‚ โ€ข Trend charts (24hr rolling window, local historian)    โ”‚  โ”‚
โ”‚  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜  โ”‚
โ”‚  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”  โ”‚
โ”‚  โ”‚ Poll Management System                               โ”‚  โ”‚
โ”‚  โ”‚ โ€ข OPC UA subscription manager (monitored items)          โ”‚  โ”‚
โ”‚  โ”‚ โ€ข Modbus TCP poll scheduler (register maps, 1-60sec)     โ”‚  โ”‚
โ”‚  โ”‚ โ€ข Priority queues (critical=1sec, normal=15sec)          โ”‚  โ”‚
โ”‚  โ”‚ โ€ข Adaptive polling (slow down on no-change data)         โ”‚  โ”‚
โ”‚  โ”‚ โ€ข Connection health monitoring (retry logic)             โ”‚  โ”‚
โ”‚  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜  โ”‚
โ”‚  โ€ข Protocol handlers: OPC UA, Modbus TCP, BACnet/IP client      โ”‚
โ”‚  โ€ข LoRaWAN gateway (ChirpStack/TTN server)                      โ”‚
โ”‚  โ€ข Local rules engine (Lua scripts, threshold alarms)           โ”‚
โ”‚  โ€ข Edge ML inference (vibration FFT, anomaly detection)         โ”‚
โ”‚  โ€ข 72-hour local historian (PostgreSQL TimescaleDB)             โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
           โ”‚           โ”‚            โ”‚            โ”‚
    โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”˜           โ”‚            โ”‚            โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”
    โ”‚                  โ”‚            โ”‚                   โ”‚
โ”Œโ”€โ”€โ”€โ–ผโ”€โ”€โ”€โ”€โ”€โ”€โ”  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ–ผโ”€โ”€โ”€โ”€โ”€โ”€โ”  โ”Œโ”€โ–ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ–ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚Honeywell โ”‚  โ”‚  BACnet/IP    โ”‚  โ”‚ Modbus   โ”‚  โ”‚  LoRaWAN      โ”‚
โ”‚Experion  โ”‚  โ”‚  Building     โ”‚  โ”‚ TCP RTUs โ”‚  โ”‚  /NB-IoT      โ”‚
โ”‚PKS       โ”‚  โ”‚  Controllers  โ”‚  โ”‚ /PLCs    โ”‚  โ”‚  /Cat-M/WiFi  โ”‚
โ”‚(OPC UA)  โ”‚  โ”‚  โ€ข Niagara    โ”‚  โ”‚ โ€ข Field  โ”‚  โ”‚  Wireless     โ”‚
โ”‚โ€ข Process โ”‚  โ”‚    JACE       โ”‚  โ”‚   I/O    โ”‚  โ”‚  โ€ข Vibration  โ”‚
โ”‚  vars    โ”‚  โ”‚  โ€ข WEBs       โ”‚  โ”‚ โ€ข Meters โ”‚  โ”‚  โ€ข Pressure   โ”‚
โ”‚โ€ข Alarms  โ”‚  โ”‚  โ€ข VAV boxes  โ”‚  โ”‚ โ€ข VFDs   โ”‚  โ”‚  โ€ข Flow       โ”‚
โ”‚โ€ข Set-    โ”‚  โ”‚  โ€ข AHUs       โ”‚  โ”‚ Poll:    โ”‚  โ”‚  โ€ข Level      โ”‚
โ”‚  points  โ”‚  โ”‚  Poll/COV:    โ”‚  โ”‚ 5-15 sec โ”‚  โ”‚  โ€ข Tilt       โ”‚
โ”‚          โ”‚  โ”‚  1-15 sec     โ”‚  โ”‚          โ”‚  โ”‚  โ€ข Temp/RH    โ”‚
โ”‚          โ”‚  โ”‚               โ”‚  โ”‚          โ”‚  โ”‚  โ€ข Analog I/O โ”‚
โ”‚          โ”‚  โ”‚               โ”‚  โ”‚          โ”‚  โ”‚  โ€ข Digital I/Oโ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
                

SCADA Widget SystemBuilt-In HMI

Professional operator interfaces without expensive SCADA licenses. Built on modern web technologies, responsive across desktop/tablet/mobile.

Real-Time Dashboard Components

Motor Health Cards

  • Current draw with trend sparkline
  • Bearing temperature monitoring
  • Vibration RMS + FFT spectrum
  • Runtime hours tracking
  • Color-coded health status

Equipment Status

  • Running/Stopped/Alarm indicators
  • Animated visual status
  • Efficiency metrics display
  • Last state change timestamp
  • Quick-action controls

Process Mimics

  • Live P&ID diagrams
  • Animated flow visualization
  • Interactive gauges
  • Embedded trend sparklines
  • Drill-down navigation

Plant Layout

  • SVG floor plan mapping
  • Equipment health heat maps
  • Zone-based filtering
  • Mobile zoom/pan controls
  • Geographic positioning

Wireless Nodes

  • Analog I/O (4-20mA, 0-10V)
  • Digital I/O (dry contact, pulse)
  • RS485 sensor integration
  • LoRaWAN/NB-IoT/Cat-M
  • WiFi industrial sensors

Industrial Telemetry

  • Pressure & differential pressure
  • Flow (ultrasonic, magnetic)
  • Distance & level (ultrasonic)
  • Tilt & inclination sensors
  • Light, temp, humidity, CO2

Alarm Management Interface

Priority Use Case Response Escalation
Critical (Red) Equipment shutdown, safety interlock Audible siren + visual flash Auto-escalate supervisor (15 min)
Warning (Yellow) Approaching limits, minor deviation Visual flash + single beep Acknowledgment recommended
Info (Blue) Status changes, diagnostics Silent notification banner Auto-clear after 5 minutes

๐Ÿ“Š Alarm Analytics

  • Top 10 most frequent alarms (last 30 days)
  • "Bad actor" equipment identification
  • Mean Time To Acknowledge (MTTA) by operator
  • Mean Time To Resolve (MTTR) by alarm type
  • Pareto analysis: 80/20 rule on alarm sources

Technology Stack

  • Frontend: React.js 18.x + TypeScript
  • Visualization: Recharts (charts), D3.js (custom graphics)
  • Real-time: WebSocket push from edge historian (1-5sec refresh)
  • Performance: 60fps animations, lazy loading, responsive design
  • Customization: Drag-and-drop widget builder for operations team

Wireless Sensor Integration 200+ Sensor Models

IoT-LogIQ Edge supports comprehensive wireless sensor connectivity across multiple protocols and interface types for complete industrial telemetry coverage.

Wireless Node Interface Types

Analog Input Nodes

  • 4-20mA loops: Pressure, level, flow transmitters
  • 0-10V signals: Position sensors, VFD feedback
  • Thermocouple/RTD: High-precision temperature
  • Strain gauge: Force, weight, tension measurement

Digital I/O Nodes

  • Dry contact: Door position, limit switches
  • Pulse counting: Flow meters, energy meters
  • Relay outputs: Remote valve/pump control
  • Status monitoring: Running/stopped indicators

RS485 Integration

  • Modbus RTU sensors: Energy meters, analyzers
  • Multi-drop networks: 32+ devices per bus
  • Industrial protocols: Modbus, BACnet MS/TP
  • Long-distance: Up to 1200m cable runs

Wireless Connectivity Protocols

Protocol Range Battery Life Best Use Case
LoRaWAN 2-15 km (outdoor) 5-10 years Long-range industrial, campus-wide deployment
NB-IoT 10+ km (cellular) 3-7 years Remote sites, existing cellular coverage
Cat-M (LTE-M) 10+ km (cellular) 2-5 years Mobile assets, higher data rate needs
WiFi (Industrial) 100-300m (indoor) 1-3 years (optimized) High-bandwidth, existing WiFi infrastructure

Industrial Telemetry Sensor Types

๐Ÿ“Š Complete Sensor Coverage

  • Pressure: Absolute, gauge, differential (0-500 bar), transmitters, transducers
  • Flow: Ultrasonic, magnetic, turbine, vortex, thermal mass flow meters
  • Level: Ultrasonic distance, radar, pressure-based, capacitive, guided wave radar
  • Distance: Ultrasonic ranging, laser TOF, LIDAR (0.3-15m typical)
  • Tilt & Inclination: MEMS accelerometer-based, 0.1ยฐ resolution, 2-axis measurement
  • Vibration: 3-axis accelerometer, FFT analysis, bearing fault detection
  • Temperature: Thermocouple (K/J/T type), RTD (PT100/1000), NTC thermistor, infrared
  • Environmental: Humidity (RH%), barometric pressure, light intensity (lux), UV index
  • Air Quality: CO2, CO, VOC, PM2.5/PM10 particulate, O3, NO2, SO2
  • Water Quality: pH, conductivity, TDS, dissolved oxygen, turbidity, ORP
  • Occupancy: PIR motion, mmWave radar, CO2-based, thermal imaging
  • Position: GPS/GNSS tracking, geofencing, indoor positioning (BLE beacons)
  • Energy: Current (CT clamps), voltage, power factor, kWh, 3-phase monitoring
  • Gas Detection: Combustible (LEL), H2S, CO, O2, refrigerant leak (R134a, R410A)
  • Sound: Acoustic level (dBA), frequency analysis, noise pollution monitoring

Example Sensor Deployments

Application Sensor Type Connectivity Typical Count
Tank level monitoring Ultrasonic distance (0-10m) LoRaWAN 10-50 tanks
Compressed air pressure 0-10 bar pressure transmitter (4-20mA) LoRaWAN analog node 5-20 compressors
Bearing temperature PT100 RTD or K-type thermocouple LoRaWAN analog node 50-200 motors
Door position monitoring Magnetic contact switch LoRaWAN digital input 20-100 doors
Energy consumption 3-phase power meter (Modbus RTU) RS485 via LoRaWAN bridge 10-30 panels
Building occupancy PIR motion + CO2 sensor WiFi or NB-IoT 50-200 zones
Water flow tracking Ultrasonic flow meter Cat-M cellular 5-15 mains
Silo tilt monitoring 2-axis inclinometer (0.1ยฐ res) LoRaWAN 4-12 silos

Poll Management SystemIntelligent Optimization

Advanced data acquisition with OPC UA subscriptions, Modbus scheduling, adaptive algorithms, and health monitoring.

OPC UA Subscription Management

Monitored Items

Subscribe to 100-1000 OPC UA nodes per Honeywell Experion server. Auto-discovery via namespace browsing.

Sampling Intervals

250ms-5sec based on tag criticality. Critical alarms at 250ms, normal process at 1-5sec.

Deadband Filtering

Report only when value changes >1% of scale. Reduces notification traffic by 50-70%.

Auto-Reconnect

Exponential backoff on network interruption. Session restoration with full subscription recovery.

Modbus TCP Poll Scheduler

Priority Poll Interval Use Case Examples
Critical 1 second Alarms, safety, faults VFD fault code, safety relay status
Normal 5-15 seconds Process variables Motor current, pump speed, tank level
Slow 30-60 seconds Diagnostics, counters Runtime hours, energy consumption

BACnet/IP Client Manager Building Automation

Device Discovery

Automatic BACnet WhoIs broadcasts. Discovers Niagara JACE, WEBs controllers, VAV boxes, AHUs on network.

Object Reading

Read Analog Input/Output, Binary Input/Output, Multi-state Values. ReadProperty and ReadPropertyMultiple support.

COV Subscriptions

Subscribe to Change-of-Value notifications. Reduces network traffic vs. polling. Configurable lifetime renewal.

Write-Back

WriteProperty commands for setpoints, schedules, overrides. RBAC-controlled with audit logging.

๐Ÿ“ก BACnet Integration Examples

  • Niagara JACE: Read zone temps (AI), damper positions (AO), occupancy sensors (BI), HVAC modes (MV)
  • WEBs Controllers: Monitor VAV airflow, discharge temps, CO2 levels across 50-200 zones
  • AHU Controllers: Track supply/return air temps, fan speeds, filter status, energy meters
  • Write-Back Use Cases: Adjust setpoints based on occupancy, override schedules, trigger alarms

Adaptive Polling Algorithm

๐Ÿง  Pattern Learning

  1. Learning Phase (1 hour): Monitor all tags at base interval, calculate standard deviation
  2. Classification: Static (StdDev <1%) vs Dynamic (StdDev >1%)
  3. Frequency Adjustment: Reduce static tag polling by 50-75%
  4. Change Detection: Resume fast polling when value changes >2%
  5. Result: 30-50% reduction in network traffic on stable processes

Connection Health Monitoring

TCP Keepalive

60-second ping to all data sources. 3 missed probes โ†’ mark offline (180 sec detection).

Retry Logic

Exponential backoff: 5s โ†’ 10s โ†’ 20s โ†’ 40s โ†’ max 5 min. Retry indefinitely until restored.

Status Dashboard

๐ŸŸข Green (connected), ๐ŸŸก Yellow (high latency), ๐Ÿ”ด Red (offline). Real-time device health.

Alert Integration

SMS/email for critical sources. Daily connectivity reports. Webhook to external monitoring.

End-to-End Data Flow

Five-stage pipeline from Honeywell Experion to operator dashboards and cloud analytics.

๐Ÿ“Š Data Pipeline Stages

  1. Acquisition: Honeywell Experion โ†’ OPC UA (500ms) โ†’ IoT-LogIQ Edge poll manager
  2. Edge Processing: Poll manager โ†’ Rules engine (threshold checks, calcs) โ†’ Local historian (PostgreSQL)
  3. Widget Rendering: Local historian โ†’ WebSocket push (1-5sec) โ†’ React HMI dashboard
  4. Cloud Sync: Local historian โ†’ MQTT batch (5-15 min) โ†’ IoT-LogIQ Cloud (TimescaleDB)
  5. Analytics: Cloud โ†’ ML models (hourly/daily) โ†’ Predictive alerts โ†’ Email/SMS/Dashboard

Bandwidth Optimization

Scenario Raw Streaming Edge Batching Savings
1100 tags @ 5-15 sec 110-220 samples/sec 300 samples/5-min batch -
Daily cloud ingress 950 MB/day 8.6 MB/day 99% reduction

Reference Configuration: 200-Motor Plant + Building Automation

Real-world deployment example showing data point inventory, poll rates, and system performance with industrial and building automation integration.

Data Point Inventory

Source Tag Count Poll/Sample Rate Load
Honeywell Experion (OPC UA) 800 tags
(200 motors ร— 4 tags)
Current: 5s
Temp: 15s
Status: 1s
Hours: 60s
200-800 polls/sec
BACnet/IP Controllers 400 objects
(50 zones ร— 8 points)
Zone temp: 15s
Setpoints: 30s
Dampers: 15s
COV: instant
50-100 polls/sec
(with COV optimization)
Modbus TCP VFDs 300 registers
(50 VFDs ร— 6 regs)
Speed: 5s
Fault: 1s
Power: 15s
Runtime: 60s
100-300 polls/sec
LoRaWAN/NB-IoT/Cat-M Wireless 200+ sensors
(vibration, pressure, flow, level, tilt, analog/digital I/O)
Every 15 min (LoRaWAN)
Hourly (NB-IoT)
On-demand (Cat-M)
800-3200 msgs/hour
(0.22-0.89/sec)

๐Ÿ“Š Total System Scale

  • Total Data Points: 1,500 tags (800 OPC UA + 400 BACnet + 300 Modbus) + 200+ wireless sensors
  • Update Rate: 350-1,200 polls/sec (wired protocols) + wireless background (0.22-0.89 msgs/sec)
  • Coverage: Industrial motors/pumps + HVAC/building automation + comprehensive wireless overlay
  • Wireless Types: LoRaWAN (5-10yr battery), NB-IoT/Cat-M (cellular), WiFi (high-bandwidth)
  • Sensor Variety: 200+ models - pressure, flow, level, vibration, tilt, temp, analog/digital I/O, RS485
  • Unified View: All systems visible in single IoT-LogIQ HMI dashboard

Edge Gateway Performance

20-30% Avg CPU Utilization
50-60% Peak CPU (Cloud Sync)
3-4 GB Memory Usage
500 kbps Avg Network Bandwidth

๐Ÿ’ป Hardware: Advantech UNO-2271G

  • Processor: Intel Atom x6000E series
  • Memory: 8GB DDR4
  • Storage: 128GB SSD (72-hour historian uses 5-10GB)
  • Operating temp: -20ยฐC to +60ยฐC (industrial rated)
  • DIN-rail mount, fanless design

Key Benefits Summary

1. Operator Efficiency 50% Faster Response

2. Network & System Optimization 30-50% Traffic Reduction

3. System Reliability 72hr Autonomy

4. Cost Reduction 70-90% Savings

Component Traditional SCADA IoT-LogIQ Edge 5-Year Savings
Software licenses $50K-$150K $0 (included) $50K-$150K
Per-tag fees $55K-$220K $0 $55K-$220K
Client licenses $25K-$75K Unlimited browsers $25K-$75K
Annual support $26K-$89K/year $5K-$10K/year $105K-$395K
Total 5-year TCO $280K-$820K $40K-$80K $240K-$740K

Implementation Roadmap

Phase 1: Assessment
Weeks 1-2

  • Experion OPC UA audit
  • Modbus device inventory
  • Network infrastructure review
  • LoRaWAN coverage survey

Phase 2: Pilot
Months 1-2

  • Deploy 1 Advantech UNO gateway
  • Configure OPC UA subscriptions
  • Install 20-50 wireless sensors
  • Build custom HMI dashboard

Phase 3: Validation
Months 2-3

  • Data accuracy verification
  • Alarm response testing
  • Operator/engineer training
  • SOP documentation

Phase 4: Expansion
Months 4-12

  • Scale to 200-motor coverage
  • Deploy ML predictive models
  • Enable enterprise dashboards
  • Monthly ROI reviews

Ready to Transform Your Industrial Operations?

Extend your Honeywell Experion deployment with IoT-LogIQ's intelligent edge platform. Proven ROI in 8-12 months.

Contact Senzary Explore Solutions