Algorithms Predict Failure Of Critical Building Systems

Imagine a building that tells you – before it happens – that the heating is about to fail. Some start-ups use sensors and machine learning to do “predictive maintenance”, spotting faults in building systems like heating and air con before they crash. Finnish start-up Leanheat puts a wireless temperature, humidity and pressure sensor into apartments to remotely control heating and monitor appliance health. In the US, start-up Augury installs acoustic sensors in machines to listen for audible changes in function and spot potentially imminent failures.


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