Abstract: The embodiments of the present application propose a method and apparatus for repairing a device failure, electronic device and storage medium. The method includes: detecting, after a device restarts, whether there is an abnormal state file saved by a CPU due to a device failure detected before the restart; reading network configuration information of a Uboot saved correspondingly to the abnormal state file when the abnormal state file of the device is detected; initiating a communication connection with a FTP server according to the read network configuration information of the Uboot; sending an upgrade request to the FTP server when the communication connection with the FTP server is successfully established; repairing and upgrading the device in response to a software package returned by the FTP server. The embodiments of the present application realize remote repair of a device failure.

Abstract: This application discloses a semantic learning-based down-sampling method of point cloud data of an aircraft, including: (S1) constructing a multi-input encoder based on feature learning according to point cloud semantic learning principle; inputting the point cloud data of the aircraft and feature point data into the multi-input encoder for feature fusion followed by decoding using a decoder the multi-input feature fused data to obtain to-be-measured data; (S2) constructing and training a point cloud feature weight calculation network based on semantic learning to acquire a feature weight of each point in the to-be-measured data; and (S3) performing spatial weighted sampling on the feature weight of each point in the to-be-measured data followed by down-sampling based on Gaussian distribution-based spatial sampling principle.

Abstract: This application discloses a semantic learning-based down-sampling method of point cloud data of an aircraft, including: (S1) constructing a multi-input encoder based on feature learning according to point cloud semantic learning principle; inputting the point cloud data of the aircraft and feature point data into the multi-input encoder for feature fusion followed by decoding using a decoder the multi-input feature fused data to obtain to-be-measured data; (S2) constructing and training a point cloud feature weight calculation network based on semantic learning to acquire a feature weight of each point in the to-be-measured data; and (S3) performing spatial weighted sampling on the feature weight of each point in the to-be-measured data followed by down-sampling based on Gaussian distribution-based spatial sampling principle.

Abstract: The embodiments of the present application propose a method and apparatus for repairing a device failure, electronic device and storage medium. The method includes: detecting, after a device restarts, whether there is an abnormal state file saved by a CPU due to a device failure detected before the restart; reading network configuration information of a Uboot saved correspondingly to the abnormal state file when the abnormal state file of the device is detected; initiating a communication connection with a FTP server according to the read network configuration information of the Uboot; sending an upgrade request to the FTP server when the communication connection with the FTP server is successfully established; repairing and upgrading the device in response to a software package returned by the FTP server. The embodiments of the present application realize remote repair of a device failure.