NiriX SHM | Wireless Structural Health Monitoring System for Bridges
Installs in minutes. Protects for years. No babysitting required.
Made in India, IoT-enabled wireless system for continuous and real-time structural health monitoring of bridges and concrete assets. Features high-accuracy and wireless MEMS inclinometers and vibration sensors, strain and displacement sensors for real-time tracking.
Transform structural health monitoring from periodic inspection to continuous, data-driven asset intelligence through integrated sensing, intelligent acquisition, operational analytics, and real-time infrastructure insights.
Relying only on periodic visual checks can be risky. Problems like hidden cracks, loss of stiffness, or corrosion often go unseen until it’s too late.
Bridge collapses reported in India between 1977-2017
2100+ bridge collapses
Average failure age of bridges in India
34.5 years
as compared to recommended age of 100 years as per IRC 112 Code of Practice
Losses across sectors due to corrosion in India
USD $110B every year
Many infrastructure projects never reach their expected lifespan.
The main reasons: missing quality monitoring during construction and lack of proper maintenance.
The SHM Difference
Spot trouble early
Catch defects before they become critical.
Extend service life
Plan maintenance based on actual condition, not just a fixed schedule.
Gain peace of mind
Know your structure’s health any time, from anywhere.
Self-contained unit integrating vibration and stress tracking for real-time structural physics and modal parameter identification.
- Vibration Sensor (3-Axis MEMS Accelerometer): ± 2g, 4g measurement range · 20bit, 50µg resolution · Integrated DAQ stack
- Strain Gauge: ± 1000 µε measurement range · 1 µε measurement precision · Integrated DAQ stack
Application
Dynamic load behavior tracking, Operational Modal Analysis (OMA), multi-sensor fusion for active bridge or machinery testing
Autonomous geometric tracking unit engineered to monitor structural displacement, angular movement, and physical shifts in load-bearing assets.
- Displacement Sensor: ±25 mm measurement range · ±0.1 mm accuracy · 0.01 mm resolution · Integrated DAQ stack
- Tilt Sensor (MEMS Inclinometer): ±10° measurement range · ±0.05° accuracy · ±0.001° resolution · 2% full-scale linearity · ±0.01° static repeatability · Integrated DAQ stack
Applications
Structural bearing movement, expansion gaps, pier/column rotation tracking, and live-load deflection assessments
Infrastructure-grade climate intelligence unit designed to observe and correlate ambient external excitation forces directly with structural performance data.
- Temperature: –55°C to 150°C measurement range · ± 0.2°C (maximum) accuracy · ± 0.0078°C resolution · Integrated DAQ stack
- Humidity: 0% to 100% measurement range · ± 3% (maximum) accuracy · ± 0.01 (static) resolution · Integrated DAQ stack
- Wind Speed (Anemometer): 0-70 m/s measurement range · ±(0.2+0.03V)m/s, @(0~30m/s, 25℃) accuracy (V indicates wind speed) · 0.0875 m/s resolution · Integrated DAQ stack
Applications
Environmental baseline drift compensation, thermal response profiling, micro-climate tracking, wind-gust correlation for arch or cable-stayed bridges.
Reliable Data Transmission and Storage: Multiple wireless communication options for
reliable transmission · On-board SD card storage for local data backup
Power Supply: Flexible power configuration: Integrated 9000mAh battery for wireless short-term SHM · On-site charging input provided for permanent (long-term) monitoring
Time Sync: NTP synchronization thresholds to isolate the ADC stack and eliminate Wi-Fi jitter.
Applications
Multi-node synchronization, time-deterministic Operational Modal Analysis (OMA), event-driven peak load tracking, and remote multi-site fleet deployment management.
Advanced Structural Analytics
Goal: Identify hidden damage and isolate true structural trends from environmental drift.
- Automated Operational Modal Analysis (OMA): Extract natural frequencies, damping ratios, and mode shapes to track stiffness loss.
- Multi-sensor fusion: Cross-correlate diverse data domains to validate load paths for bridge load testing.
- Thermal compensation: Filter out diurnal and seasonal temperature drift to see true structural changes.
- Event capture analytics: Isolate and analyze high-frequency data logged during sudden peak load impacts.
SHM 2.0
What’s coming next
From reactive monitoring today to autonomous infrastructure intelligence tomorrow—detecting issues in real time, understanding their impact, and resolving them automatically at the source.