Patent classifications
G07C5/006
Computer-readable storage medium, and fault detection method and apparatus
The present disclosure relates to a computer-readable storage medium, and a fault detection method and apparatus. The method includes: obtaining first data of tire pressure sensors of a vehicle in a stopping state and a running state; and performing fault detection according to the first data of the tire pressure sensors in the stopping state and/or the running state, and outputting a fault detection result. According to the solutions provided in the present disclosure, a fault type and a fault source can be quickly and accurately positioned, so that maintenance personnel perform fault maintenance quickly and safely, thereby reducing the costs of maintenance and detection, and effectively improving the efficiency and accuracy of fault detection.
Vehicle bus-based communication method, apparatus and computer device
The present invention provides a vehicle bus-based communication method and apparatus, a computer device and a storage medium. The vehicle bus-based communication method includes: monitoring data flows transmitted through a vehicle bus by vehicle electronic control units; determining undetected data flows in to-be-obtained data flows when the monitoring reaches a first time length; broadcasting data flow obtaining requests through the vehicle bus, the data flow obtaining requests specifying queries for the undetected data flows; and obtaining data flows that are fed back through the vehicle bus in response to the data flow obtaining requests. When data flows of a vehicle are obtained through a vehicle bus, data flows on the vehicle bus are first obtained in a monitoring manner, thereby ensuring data flow obtaining efficiency. After the monitoring is performed for a period of time, data flows that are not obtained in a monitoring-and-obtaining manner are obtained by sending corresponding data flow obtaining requests to the vehicle bus, so that it is ensured that relatively more complete data flows of the vehicle can be obtained.
SYSTEM FOR MANAGING A VEHICLE FLEET
A system for managing a vehicle fleet of at least partially autonomously driving vehicles in a vehicle depot, including: a capture unit to capture the respective position of the vehicles in a vehicle group of the fleet arranged in the depot. The vehicles in the group each have a service plan which instructs the respective vehicle to carry out vehicle service in the depot, a communication interface receives a signal from at least one further vehicle in the fleet which drives into the depot, and a control unit assigns a further service plan to the further vehicle based on the captured respective position of the vehicles in the group in the depot and based on the received signal from the further vehicle. The communication interface transmits the further service plan to the further vehicle. The further service plan instructs the further vehicle to carry out vehicle service in the depot.
INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD
An information processing apparatus that processes information related to a rental of a battery, includes: a first acquisition unit configured to acquire performance degradation information before the rental of the battery; a second acquisition unit configured to acquire performance degradation information after the rental of the battery; and a decision unit configured to decide a treatment for a rental user of the battery, based on the performance degradation information that is acquired by the first acquisition unit and the performance degradation information that is acquired by the second acquisition unit.
SYSTEMS AND METHODS FOR DETERMINING VEHICLE CAPABILITY FOR DISPATCH
Disclosed are methods, systems, and non-transitory computer-readable medium for determining a capability of a vehicle for dispatch. The method may include receiving vehicle data from a vehicle located at or near a vehicle port, and a dispatch schedule, for a fleet of vehicles, from a dispatch service. The method may also include analyzing the received data to determine at least a dispatch capability of the vehicle and a maintenance state of the vehicle, the determined dispatch capability being one of authorization for dispatch with no maintenance alert, authorization for dispatch with at least one maintenance alert, or prohibition of dispatch with at least one maintenance alert. The method may further include identifying a vehicle for dispatch, and outputting the identified vehicle for dispatch to the dispatch service, and outputting the determined maintenance state of the vehicle to at least one of the dispatch service and a vehicle maintenance service.
APPARATUS AND METHOD FOR PROCESSING SENSOR DATA TO PREDICT FUTURE OUTCOMES
A method, apparatus, and system are described. The method includes generating a set of current values associated with at least one component included on a moving vehicle and providing the set of current values over a wireless network. The values are generated by one or more sensors. An edge computing device receives the current values. The method further includes processing the set of current values in real-time using at least one machine learning algorithm to identify a value of a point in time for a failure of one of the at least one component based on the set of current values and at least one set of past values received. The past values are stored in a memory. The set of current values are transmitted with a low time latency between the generating the set of current values and the processing of the set of current values.
Management system of work site and management method of work site
A management system of a work site includes an image data acquisition unit that acquires image data of an unmanned vehicle stopped at the work site due to generation of a trouble, the image data being imaged by an imaging device mounted in a movable body.
SMART SYSTEM FOR RAPID AND ACCURATE AIRCRAFT MAINTENANCE DECISION MAKING
Certain aspects of the present disclosure provide techniques for a method, including: receiving multi-dimensional event data associated with a vehicle event; determining, based on the multi-dimensional event data, an inspection classification for the vehicle event; receiving multi-dimensional analysis data associated with the inspection classification for the vehicle event; determining, based on the multi-dimensional analysis data, a repair classification for the vehicle event; receiving multi-dimensional action data associated with the repair classification for the vehicle event; and determining, based on the multi-dimensional action data, a monitoring classification for the vehicle event.
Aircraft Maintenance of Line Replaceable Units
A method, apparatus, system, and computer program product for managing a platform. Sensor information for a platform health of the platform is received from a sensor system for the platform. The sensor information for the platform health of the platform is sent by a computer system into a machine learning model trained using historical sensor information indicating a historical platform health and historical context information corresponding to the historical sensor information in which the historical context information is for a set of operating conditions. A remaining useful life of a component in the platform is received by the computer system from the machine learning model.
REPEATED DIAGNOSTIC REASONER USE THROUGHOUT SERVICE AND MAINTENANCE OF A VEHICLE
A method is provided for use in maintenance of a vehicle. The method includes an onboard computer including an onboard reasoner diagnosing a failure mode onboard the vehicle using an onboard diagnostic model. The onboard reasoner further determines a service recommendation of a service action to address the failure mode. The method also includes an off-board computer including an off-board copy of the onboard reasoner receiving a measure of fix effectivity of the service action as performed to address the failure mode. The off-board copy diagnoses the failure mode or an alternate failure mode, from the measure of fix effectivity of the service action, and using an off-board copy of the onboard diagnostic model. Responsive to diagnosis of the alternate failure mode, the off-board copy determines a maintenance recommendation of a maintenance action to address the alternate failure mode, and generating a maintenance message including the maintenance recommendation.