Summary
Embedor Technologies has developed a smart sensor platform to monitor structural health of civil infrastructure, capable of sensing at multiple scales to facilitate reliable, real-time structural condition assessment for extreme events and long-term deterioration.
Problem
Maintaining and monitoring structural integrity of aging infrastructure is a key challenge, made current and grievous in recent years by several critical failures. Large scale civil infrastructures continuously undergo deterioration and are subjected to weathering effects and operational loads. Being able to timely detect, localize, and predict structural failure could provide a more cost-efficient and effective way to manage our infrastructure. Besides traditional visual structural assessments, Structural Health Monitoring (SHM) tools have been developed due to advances in wireless sensing technologies . SHM sensor wireless networks are used to monitor the health of a structure based on measurable response parameters. Nonetheless, majority of the sensors are not sensitive enough to capture these parameters in large scale infrastructure, are power hungry and difficult to power and need to make key trade-off decision around technologies used.
Solution
Embedor Technologies has developed smart sensor platform and a software framework capable of sensing at multiple scales to facilitate reliable, real-time structural condition assessment for extreme events and long-term deterioration. By leveraging distributed AI, data processing and interpretation functionalities directly at the sensor edge of the network, Embedor offers an extremely reactive, energy efficient and scalable way monitor, continuously record and act upon structural health data. The unique high sensitivity of Embedor’s sensors, their ability to harvest energy from the environment make even minor events in big infrastructures detectable and damage quantifiable without interruptions and black spots with the ultimate aim of rationalizing the maintenance process and avoiding catastrophic failures.
