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Monitoring systems

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gLog WiFi

Wireless solution for structural monitoring
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gLog WiFi

Wireless solution for structural monitoring

  

Vibrations reveal how a structure behaves.
gLog WiFi acquires, synchronizes and makes them available for analysis.

gLog WiFi is an autonomous wireless solution for Structural Health Monitoring (SHM) of bridges, viaducts and infrastructure. 
It integrates a high-precision triaxial MEMS accelerometer, a data logger with internal memory and IEEE 802.11 WiFi communication.
Data acquired from multiple devices are synchronized and made available for OMA (Operational Modal Analysis), structural response assessment, FEM model updating and AI-based SHM applications.

KEY BENEFITS

 

WIRELESS = WiFi communication & full remote configuration

   SYNCHRONIZED = Multi-device acquisition with < 2 ms accuracy
    OMA READY = High-precision acquisitions lasting up to 120 minutes
   RAW DATA = Raw acceleration data always available
    7 YEARS = With one 30-minute acquisition per day
   PROTECTION = Anodized aluminium housing, dust & water resistant

APPLICATION FIELDS

 

Bridges and viaducts

 

Buildings

 

Railways

 

Pedestrian bridges

 

Dams and tunnels

 

Inspections & testing

RESEARCH & COLLABORATIONS

 

Developed in collaboration with the Department of Engineering and Architecture
of the University of Parma, within the European CIRCoPAV project.

       

           

 

DISCOVER MORE ABOUT gLog

Explore all its features and see real-world application examples:

System & Features
https://glogw.pythonanywhere.com/brochure
Case studies
https://glogw.pythonanywhere.com/caseHistory



Photogallery

 

  
—
BRIDGES & VIADUCTS

  
—
PEDESTRIAN BRIDGES

—
BUILDINGS & STRUCTURES

—
DAMS & TUNNELS

   

—
RAILWAYS

    DIMENSIONS



 



EMC 2014/30/UE
Max. device power 1,44 W (3,6 V – 0,4 A)
Weight 800 g
0g offset (factory calibrated) ±5 mg (range ±2 g)
Accelerometer range 2 g / 4 g / 8 g
Accuracy 20 bit
Battery 3.6V, 14.8Ah lithium thionyl chloride
Battery protection Reverse polarity protection
Device synchronization < 2 ms
EIRP 19,5 dBm
Electrical connection USB Type-C
Estimated battery life 7 years (30 min/die)
Magnetic field sensor hysteresis 2 gauss
Magnetic field sensor polarity Omnipolar
Magnetic field sensor threshold 7 gauss
Max. microprocessor frequency 4 MHz
Max. samples per event 1.048.576
Max. working voltage 3.7 V
Maximum radio module frequency 240 MHz
Maximum sampling length 4 h
Min. working voltage 3V
Noise Spectral Density 25 µg/√Hz
Non volatile memory erase time 180 s
Non volatile memory size 2 × 64 MB
Nonlinearity 0,1% FS
Protection degree IP67
Radio frequency 2,4 GHz – IEEE 802.11
Radio module connector RF (es. Hirose U.FL)
Relative humidity 10…85%
RoHs 2011/65/UE
Sampling frequency 62,5 / 125 / 250 / 500 Hz
Sensitivity 256 LSB/g (range ±2 g)
Sensore Accelerometer MEMS triaxial
Temperature sensor offset ±2 °C
USB protection IEC 61000-4-2 level 4 (8 kV contact discharge)
USB protocol USB 2.0
USB speed Full Speed – 12 Mbit/s
Voltage sensor offset ±100 mV
Working temperature –10…+55 °C
 

ACQUISITION AND CONFIGURATION      

 

Acquisitions can be scheduled or automatically triggered when an acceleration threshold is exceeded.
The following parameters can be configured remotely via web app:

 •

sampling frequency and range

 •

date, time, duration and recurrence of scheduled events

 •

trigger threshold and time over threshold

 

 

 

REMOTE MONITORING     

 

The dashboard allows you to monitor last connection, last sampling, battery level, signal quality and error diagnostics, as well as view and download the acquired data.

  − Last connection
  − Last acquisition
− Battery level
     − Signal quality
  − Error diagnostics 

 

 

Collected data can be visualized and downloaded for further analysis.

  

 

    

 

 

Data ready for OMA — no manual post-processing required —         

 

Files downloaded from the platform are already synchronized, detrended and sampled at the nominal frequency.
Each dataset includes precise timestamps and triaxial acceleration data for all sensors, ready for direct import into the main Operational Modal Analysis environments.

SINCHRONIZATION INCLUDED

CSV / HDF5

PYTHON · MATLAB · ARTEMIS

FDD · SSI · EFDD

 

Your entire monitoring site under control, from PC or smartphone  

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