Structural Health Monitoring (SHM) is a non-destructive evaluation method that uses sensors to monitor critical structures such as bridges and tunnels. It involves installing sensors, collecting data, and conducting diagnostics to ensure the safety, integrity, and performance of the structure

SHM is crucial for maintaining the safety, reliability, and longevity of buildings and critical infrastructure. It helps identify structural deficiencies early on, allowing for timely interventions and repairs. By implementing effective SHM techniques, potential failures can be prevented, ensuring public safety and minimizing economic losses

Implementing SHM techniques enables early identification of structural deficiencies, reducing the risk of sudden failures. This proactive approach minimizes the long-term costs associated with reactive repairs and replacements, including emergency repairs, property damage, and potential disruptions caused by failures

Continuous monitoring allows for real-time data analysis, enabling prompt detection of changes or damages in structures. It provides valuable insights into the performance and health of the structure, facilitating timely interventions and necessary maintenance actions

By leveraging advanced sensing, intelligence algorithms, and diagnostic strategies, SHM enhances the reliability and availability of critical infrastructure. It allows for early detection of structural issues, enabling timely maintenance and reducing the risk of unexpected failures

An SHM system typically consists of the structure itself, sensors for data acquisition, data transfer methods, digital processing, and data diagnostics. These components work together to collect and analyze data, providing valuable information about the condition and response of the structure to loads

Following an earthquake, SHM can assist in analyzing the effects of the earthquake on buildings and critical infrastructure. By using sensors to measure deformation and stress at critical points, SHM systems help identify damages and their propagation. Continuous monitoring and analysis of signals can aid in issuing warnings or initiating evacuations when necessary

By continuously monitoring structures, SHM helps ensure the safety of buildings and critical infrastructure. It enables early identification of potential structural deficiencies, allowing for necessary repairs or interventions to be carried out before they escalate into safety hazards

Advanced sensing techniques in SHM include non-destructive testing, vibration and wave propagation methods, and condition-based monitoring. These techniques enable accurate and precise monitoring of structures, providing valuable data for diagnostics and decision-making

By collecting data on structure performance, SHM provides valuable insights into the behavior and response of different structures. This information can be utilized in the design of future structures, leading to improved designs that are more efficient, resilient, and better equipped to handle dynamic loads

ASH Sensors can detect small changes in a Structure’s behavior that may indicate early signs of damage or deterioration. This information can be used to identify problems before they become serious and costly to repair. Traditional building sensors, on the other hand, may not be able to detect such changes, as they are designed to monitor environmental conditions rather than structural behavior.

ASH Sensors are an exponential force multiplier to traditional sensors (i.e., building automated systems). Clients can now provide precision preventive maintenance activities resulting in unparallel improved maintenance and environmental conditions.

ASH sensors have unique capabilities that are not currently available in the market. For example, our sensors use advanced machine learning algorithms to detect patterns or anomalies in data that provide additional value to customers.

Providing an intuitive, easy-to-use interface for customers to interact with the sensors differentiates ASH sensors from competitors. Customers appreciate user-friendly interfaces that require minimal training and provide a better user experience.

Ash Sensors can capture visual data of machine processors, and our sensors can be used to collect other types of data, such as temperature, vibration, or sound by using machine vision techniques to track and identify the specific processor being isolated and monitored.
This enables ASH to collect data on each isolated machine's performance and thus introduces a surrounding noise cancelation technique that is capable of detecting deficiencies early before they cause more serious problems. This can help improve machine performance, reduce downtime, and ultimately save money and improve efficiency in a noisy complex multiple-machine process operating environment.

ASH Sensors can be used to verify the accuracy of computer models that simulate a building’s behavior. By comparing the data from ASH sensors to the predictions of the model, engineers can refine their understanding of the building’s behavior and improve the accuracy of their simulations. Traditional building sensors cannot provide this type of information.