Method and system for automated detection and interpretation of anomalies
AssigneeThe Boeing Company
InventorsPeter Geoffrey Rhodes, Li Chun Chang, James Y. Lee
Life of this patent
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Abstract
A computer-implemented method for aircraft maintenance is provided. The method includes monitoring sections and components of an aircraft using sensors. The method includes detecting, by the sensors, anomalies in the aircraft. The method includes transmitting, responsive to the detection, real-time data from the sensors to a computer having an artificial intelligence (AI) algorithm. The method includes analyzing the data with the AI algorithm to determine characteristics of the anomalies. The method includes transmitting, in response to the determination, reports to a pilot and the computer.
Claims15
A computer-implemented method for aircraft maintenance, comprising:
- monitoring sections and components of an aircraft using sensors;
- detecting, by the sensors, anomalies in the aircraft;
- transmitting, responsive to the detection, real-time data from the sensors to a computer having an artificial intelligence (AI) algorithm;
- analyzing the data with the AI algorithm to determine characteristics of the anomalies;
- transmitting, in response to the determination, reports to a pilot and the computer;
- utilizing the AI algorithm to analyze the reports to determine availability of a smart hangar for aircraft inspection;
- and
- responsive to a determination that a smart hangar is available, automatically preparing, by the smart hangar, smart inspection tools to inspect the aircraft upon arrival of the aircraft,
- wherein automatically preparing the smart inspection tools to inspect the aircraft further comprises positioning cameras on rails and loading flight plans into drones.
A system for aircraft maintenance, comprising:
- a storage device configured to store program instructions;
- and
- one or more processors operably connected to the storage device and configured to execute the program instructions to cause the system to:
- monitor sections and components of an aircraft using sensors;
- detect, by the sensors, anomalies in the aircraft;
- transmit, responsive to the detection, real-time data from the sensors to a computer having an artificial intelligence (AI) algorithm;
- analyze the data with the AI algorithm to determine characteristics of the anomalies;
- transmit, in response to the determination, reports to a pilot and the computer;
- utilize the AI algorithm to analyze the reports to determine availability of a smart hangar for aircraft inspection;
- and
- responsive to a determination that a smart hangar is available, automatically prepare, by the smart hangar, smart inspection tools to inspect the aircraft upon arrival of the aircraft,
- wherein the program instructions to automatically prepare the smart inspection tools to inspect the aircraft further comprise instructions to position cameras on rails and load flight plane into drones.
A computer program product for aircraft maintenance, comprising:
- a computer-readable storage medium having program instructions embodied thereon to perform the steps of:
- monitoring areas and sections of an aircraft using sensors;
- detecting, by the sensors, anomalies in the aircraft;
- transmitting, responsive to the detection, real-time data from the sensors to a computer having an artificial intelligence (AI) algorithm;
- analyzing the data with the AI algorithm to determine characteristics of the anomalies;
- transmitting, in response to the determination, reports to a pilot and the computer;
- utilizing the AI algorithm to analyze the reports to determine availability of a smart hangar for aircraft inspection;
- and
- responsive to a determination that a smart hangar is available, automatically preparing, by the smart hangar, smart inspection tools to inspect the aircraft upon arrival of the aircraft,
- wherein the instructions for automatically preparing the smart inspection tools to inspect the aircraft further comprise instructions for positioning cameras on rails and loading flight plane into drones.
Dependencies are inferred from the claim text.