STRUCTURAL HEALTH MONITORING AND DIAGNOSTICS
Our company offers continuous real-time monitoring of the structural behavior of civil works and infrastructures, achieved through a proven system based on years of experience and patented methods that combine expertise in the field of structural engineering, cloud computing, state-of-the-art sensors, and advanced data analysis.
ANALYSIS
Possibility of Plus and/or Light equipment. Preliminary FEM modeling, analysis of damage scenarios, choice of Performance Indicators, sensor types, and measurement points, design of monitoring system
MONITORING
Model-driven and/or data-driven approaches. Continuous on-site and on-cloud control of monitoring system data. Engineering-structural analysis for defining threshold levels that activate automatic alerts.
DIAGNOSIS
Identification, interpretation, and structural diagnostics of anomalies found in data.
News and Events
STRUCTURAL DIAGNOSTICS
OUR METHOD
step one
Review of available documentation, integration of diagnostic and mechanical characterization campaigns
1
step two
Preliminary FEM modeling, identification of damage scenarios, definition of Key Performance Indicators, sensor types, and measurement points.
2
step three
Design, production assistance, and installation of monitoring system.
3
step four
Performing static and dynamic load testing using controlled and properly purpose-built conditions, followed by updating the numerical model to finalize damage scenarios.
4
step five
Definition of increasing gravity safety threshold levels.
5
step six
Big Data Analysis and development of predictive models.
6
step seven
Continuous detection of anomalies, data archiving in the cloud, and big data analysis.
7
step eight
Visualization of results on dedicated dashboard and periodic detailed reporting.
8
STRUCTURAL HEALTH MONITORING
DENSE SENSING
Model-driven and data-driven monitoring with a capillary network of sensors permanently installed on the structure, ensuring robustness, reliability, and continuity of control. Distributed computational intelligence at each level of the monitoring system.
SENSOR-NODE LEVEL
- Computational capacity at the sensor level
- Variable and remotely adjustable sampling rate
- Calculation of synthetic parameters
- Different types of sensors in a single measurement point
- Sensors remotely activatable and configurable
GATEWAY LEVEL
- Intelligent signal acquisition
- Continuous data transfer according to pre-established periodicity depending on the sensor
- Transfer to the cloud of only significant and non-redundant information
- Streaming transfer (all data) in case of anomalous events
- Real-time pre-analysis and continuous comparison with threshold conditions
- Autorecovery in case of malfunctioning anomalies
CLOUD LEVEL
- Data and metadata archiving
- Short and long-term analysis of data
- Run of ad hoc structural algorithms
- Periodic comparison with threshold conditions
- Structural diagnostics and proactive maintenance support
- Robustness against false alarms
Integrating smart sensors, diagnostics, structures, and expertise for a more intelligent network.
Insights &
Competitive Edge
Let's talk about numbers...
+25km (9 miles) monitored
+8highway operators
+8engineering skills
+150monitored structures
3locations
6prestigious universities partnering
+30tb of data
5patents
+8years of experience in monitoring
+40years of experience in structural engineering
+50employees
+3Ksmart sensors on tunnels
+11ksmart sensors on viaducts
+500spans
*Click on the highway name to view details of the monitored structures.
a32
ct
a6
a15
r-f
a1
a21
a5
a24
a25
SP
Some of our clients
portfolio
Case history
Gravagna Viaduct
On-site monitoring during the demolition of the structure
Borratino Viaduct
Piazza Pia Underpass
Monitoring of construction phase effects on civil and monumental buildings
Olympic Footbridge
Monitoring of a pedestrian viaduct
