Abstract: A system for predicting a surge of a centrifugal refrigeration compressor including a signal capturing module for capturing at least two signals relevant to the centrifugal refrigeration compressor; a feature extracting module defining a window period for extracting data of the at least two signals, and defining at least two feature functions respectively acting on the data in the window period of the at least two signals; and, a feature analyzing and deducing module calculating a feature value for each of the signals to map a probability value of surge prediction for each of the signals, and concluding, based on the probability value of the surge prediction of each of the signals, a final probability value to determine whether or not the surge will occur to the centrifugal refrigeration compressor.

Abstract: The present disclosure discloses a building evacuation system and a building evacuation method. The evacuation method comprises: capturing image data of a region by a plurality of sensors to track a moving state of people in the region; detecting, in the moving state of the people being tracked, an object specified by at least one set abnormal mode, and matching the object with the abnormal mode; and generating an indication representing an abnormality of evacuation behavior based on the abnormal mode after being matched. The present disclosure can provide efficient evacuation.

Abstract: The present disclosure discloses a building evacuation system and a building evacuation method. The evacuation method comprises: capturing image data of a region by a plurality of sensors to track a moving state of people in the region; detecting, in the moving state of the people being tracked, an object specified by at least one set abnormal mode, and matching the object with the abnormal mode; and generating an indication representing an abnormality of evacuation behavior based on the abnormal mode after being matched. The present disclosure can provide efficient evacuation.

Abstract: A system for predicting a surge of a centrifugal refrigeration compressor including a signal capturing module for capturing at least two signals relevant to the centrifugal refrigeration compressor; a feature extracting module defining a window period for extracting data of the at least two signals, and defining at least two feature functions respectively acting on the data in the window period of the at least two signals; and, a feature analyzing and deducing module calculating a feature value for each of the signals to map a probability value of surge prediction for each of the signals, and concluding, based on the probability value of the surge prediction of each of the signals, a final probability value to determine whether or not the surge will occur to the centrifugal refrigeration compressor.

Abstract: Embodiments are directed to obtaining an impact energy signal associated with each of a plurality of teeth of a gear over a revolution of a shaft associated with the gear, generating, by a computing device comprising a processor, a profile of the impact energy signal, and declaring a fault associated with an identified tooth included in the plurality of teeth based on an analysis of the profile.

Abstract: Embodiments are directed to obtaining an impact energy signal associated with each of a plurality of teeth of a gear over a revolution of a shaft associated with the gear, generating, by a computing device comprising a processor, a profile of the impact energy signal, and declaring a fault associated with an identified tooth included in the plurality of teeth based on an analysis of the profile.