Infrastructure Monitoring
and Predictive Maintenance

We enable owners of buildings, bridges and critical infrastructure to manage risks, optimize costs, and minimize carbon emissions for structural maintenance

Maximize

the value

of your assets

and safe life

Unnecessary expensive maintenance due to conservative assessments

Unexpected downtime or even failures due to neglected risks

Maintenance today still relies on visual inspections, leading to:

Over 50% of our built

infrastructure has exceeded

its design lifespan

sTRUCTURAL PERFORMANCE

MANAGEMENT SOFTWARE

PuexanPulse can be used
to improve structural safety, optimize monitoring costs, and reduce the environmental impact of the build world.
All in your favorite browser.

Structural safety

It can be applied to any kind of structure, from bridges
to tunnels, and even to slopes and rock walls, to provide accurate insight into the current and future behavior
of the monitored object.

Object monitoring

PuexanPulse combines true simulation-based Digital Twins with Artificial Intelligence into a revolutionary platform for infrastructure monitoring.

Artificial intelligence

Cloud Based Structural Monitoring

This approach offers several advantages over traditional on-premises systems, including scalability, accessibility, and the ability to leverage advanced analytics and machine learning. Here's an overview
of how Puexan SHM works:

- Sensor Deployment

- Data Acquisition

- Data Transmission to the Cloud

- Cloud Computing

- Data Analysis and Visualization

- Machine Learning and Predictive Analytics

- Alerts and Notifications

- Accessibility

- Scalability

With Puexan SHM, you can create custom digital twins for real-time monitoring of existing structures in the cloud. This is possible for many kinds of infrastructure, such as bridges, rock walls, slopes, dams, buildings, and much more!

The system is based on the combination
of several innovative digital technologies, and thanks to artificial intelligence algorithms it is a powerful tool for the inspection and maintenance of any monitored object.

Structural Health Monitoring Via Digital Twins

Structural monitoring refers to the process of continuously or periodically assessing the condition and behavior of physical structures, such as buildings, bridges, dams, pipelines, and other infrastructure. The primary purpose of structural monitoring is to ensure the safety, reliability, and performance of these structures over time. By collecting real-time data and analyzing it, engineers and maintenance personnel can identify potential issues, assess structural health, and make informed decisions about maintenance, repairs, or necessary interventions.

Monitoring the structural response to applied loads and environmental conditions helps identify if the structure is experiencing excessive strain or stress that could lead
to failure.

Strain And Stress

Tracking the movement and deflection of structural elements can provide valuable insights into any excessive or abnormal behavior.

Displacement And Deflection

Cracks And Damage

Continuous monitoring can detect the development of cracks or damage to the structure, allowing for timely repairs.

Understanding how loads are distributed across a structure can help engineers ensure that it is operating within safe limits.

Load Distribution

Monitoring vibrations can detect anomalies, such as resonance or unusual dynamic behavior, which may indicate structural weaknesses.

Vibration

Changes in temperature and humidity can affect the integrity of certain materials, and monitoring these factors can help identify potential issues.

Temperature And Humidity

What Is Structural Monitoring And What Is It For

Structural monitoring is crucial for ensuring the safety, reliability, and performance ofinfrastructure.
By proactively identifying potential issues and responding to them promptly, it helps prevent accidents,
extends the lifespan of structures, and minimizes the overall life-cycle costs of maintaining and operating
critical assets.

Why Structural Monitoring
Is Important

Our digital twins perform the continuous evaluation of the structural health on the basis of IoT sensors data,
numerical simulation, and artificial intelligence. The digital twin model is not only a 3D model, but is the
continuously updated counterpart of the physical structure.

Many industries and regions have specific regulations and codes that require structural monitoring for certain types of infrastructure. Complying with these regulations is essential to avoid legal and financial consequences.

Regulatory Compliance

Regular monitoring allows engineers to assess the structural health and potential risks associated with a specific structure. This information
is crucial for decision-making regarding the safe use of the structure or for determining the need for structural upgrades.

Risk Assessment

Structural monitoring enables the identification of deterioration or damage in its early stages, which allows for targeted and cost-effective preventive maintenance. Addressing problems before they escalate can extend the lifespan of structures and reduce the need for extensive repairs
or replacements.

Preventive Maintenance

Monitoring data provides valuable insights into how structures respond to different loads, environmental conditions, and other factors.
By understanding their behavior, engineers can optimize the design and operational efficiency
of structures.

Performance Optimization

Timely detection of structural issues and effective maintenance strategies can lead to substantial cost savings in the long run. Preventive measures are often less expensive than reactive repairs after significant damage has occurred.

Cost Savings

The simulations on the digital twin are able to evaluate globally the state and the risk of the structure, based on local measurement of the installed sensors.

Look At The Meaning Of Data

The FE-simulations are continuously performed on the basis of measured or identified actions, such as loads, aging, temperature, and more, allowing for a much higher level of fidelity compared to the assumptions made during design.

Measurement-Based Simulations

By using artificial intelligence the historic data about the monitored structures are used to build an extensible self-learning system, that becomes better over time.

Look Into The Future

The visual observation (even if automatic) is only able to evaluate damage that already took place. The structural collapse can very often only be predicted by evaluating the stress state of the structure through numerical simulation.

Look Into The Structure

Why It Works

Make Infrastructure Digital With our cloud-based monitoring platform

All the tools to manage infrastructure in one single platform

Features

Monitor a structure's stiffness periodically or permanently to detect changes using Al and advanced algorithms

Structural health monitoring

Using Puexan wireless sensors for a few hours on-site, evaluate integrity to prove health or detect and locate damage

Structural integrity evaluation

Track long-term PPVs - especially useful near construction sites or for highly-sensitive equipment / structures

Vibration monitoring

Find the real natural frequencies, mode shapes and damping ratios of the current, as-is condition of the structure

Baseline analysis ambient vibration test

Supply response spectra at any building location to provide component-level damage evaluations

Non-structural evaluation

Damage estimation

Compare the generated seismic demands with codes such as FEMA HAZUS and P58 to generate repair

Using Puexan's methodology, obtain seismic demand parameters without finite element models or building drawings

Seismic structural evaluation

Determine integrity between building sections and extract floor, roof, wall and foundation properties and flexibility

Non-destructive condition assessment

Cloud-Based Structural Monitoring
BIM (Building Information Modeling) Integration
Predictive Maintenance and Analytics
Automated Numerical FE Simulation Execution
Physics-Informed AI Extrapolation
Strategic Data-Driven Decision Making
Robust Post-Processing System for Results
Interactive 3D Digital Twin Builder

Cross-Browser and Cross-Platform Compatibility
User-Friendly Interface with Contextual Assistance
Measurement-Based Simulations
Dynamic Model Calibration with Inverse Analysis Technique
Access Across All Devices
Comprehensive Risk Assessment Tools

Our strength

Our expertise spans civil engineering and IT innovation, where we focus on developing PuexanPulse. This sophisticated cloud platform facilitates predictive maintenance across various civil infrastructures. At Puexan, we integrate Structural Health Monitoring with Digital Twins technology and AI to deliver precise, actionable insights.

Our platform not only ensures the safety and longevity of infrastructure but also offers significant cost savings and environmental benefits, all accessible through a simple web interface. Join our efforts to transform the approach to infrastructure maintenance.

Our Team

We are a diverse team of Civil Engineers and IT Developers with extensive experience in Mechanical & Structural analysis and software development. Leveraging our expertise, we've created PuexanPulse, an advanced cloud-based platform dedicated to the predictive maintenance of civil infrastructures.

Who we are

Kseniya Charnenak

Experienced infrastructure project manager, deep industry expertise, strategic leadership, and strong vision for predictive monitoring solutions.

Chief Executive Officer

Vladimir Kazakevich

AI expert and digital twin developer, strong background in advanced analytics and hybrid modeling approaches, driving technological innovation.

Chief Technology Officer

Anton Karputs

Infrastructure engineer specialized in IoT integrations and bridge design, passionate about applying digital solutions to structural monitoring.

Chief Engineering Officer

Andrei Tropin

Chief Product Officer

Product manager with successful experience
in launching and scaling digital products, expert
in UX/UI and customer-oriented product strategies.

Contact us