Constructions and Civil Engineering
On-site insights in real-time through accurate structural health and condition monitoring
Urbanization is intensifying swiftly; growing cities demand more infrastructure, consume more energy, and produce more waste. To combat this, IoT sensors are increasingly used to gather data, monitor and grant insights. They are placed on industrial sites, buildings and developing infrastructure. From vibration analysis for structural health to wireless sensor networks for environmental monitoring, our cities are becoming ever smarter and connected
Inertial sensors for structural health monitoring
Structures must be closely monitored for possible risks that may arise. Intelligent wireless sensors are especially effective for such monitoring as they forecast patterns before they become critical complications. In this way, IMU help to ensure a safer environment while saving both time and money
Inertial sensors collect data on variables that include deformation, excessive vibration, growth, crack development, and load conditions. They then provide this information in real-time for large-scale condition monitoring.
The importance of edge AI
Data processing algorithms allow interpretation at the sensing node, right where vibrations are created. They use embedded machine learning models and automated labeling of events and patterns to allow on-device sensor data analytics. Moving intelligence to the edge helps in offloading the network from costly, large streams of data. It also enables low power consumption as it transmits only interpreted information, real-time alerts and selected events instead of raw data. The improved power efficiency is an important step toward energy harvesting for self-sufficient IMU.
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