An unmanned aircraft identity module and a storage method relate to the field of electronic technologies, and implement information reading and information tracking of an unmanned aircraft over a whole life cycle thereof. The method includes: obtaining a physical identifier of an unmanned aircraft, and writing the physical identifier into a non-rewritable memory area, where the physical identifier is an unmodifiable hardware identifier of the unmanned aircraft; obtaining an access identifier of the unmanned aircraft, and writing the access identifier into an authorizedly rewritable memory area, where the access identifier is a subscription service identifier of the unmanned aircraft; and obtaining an application identifier of the unmanned aircraft, and writing the application identifier into a repeatedly rewritable memory area, where the application identifier is a flight-related identifier of the unmanned aircraft.

A circuit board includes a board body including a wiring; a micro-control unit, arranged on the board body; and an inertial measurement unit arranged on the board body and in communication with the micro-control unit via the wiring to transmit inertial measurement data detected by the inertial measurement unit to the micro-control unit, and where the board body includes a main body part and an isolated part located at a peripheral of the main body part, the micro-control unit is supported on the main body part, and the inertial measurement unit is supported on the isolated part.

An unmanned aerial vehicle can be configured to adjust a beam direction, provide path information, act as a base station, act as a cluster head, include an improved directional antenna or array of directional antennas, communicate in a collaboration using belief propagation, receive communications from a serving station aiding in navigation or improved signal performance, or the like.

A flow path duct system for a propulsion system of an aircraft includes a base defining a flow surface. The base has an internal surface and an external surface. A plurality of perforations are formed through the base between the internal surface and the external surface. A plurality of supports define a plurality of cavities. The plurality of supports extend outwardly from the external surface of the of the base. One or more of the plurality of cavities are in fluid communication with the one or more of the plurality of perforations. A backing surface is secured to the plurality of supports. The plurality of supports are disposed between the base and the backing surface. The one or more of the plurality of cavities are in fluid communication with an internal volume defined by the internal surface of the base through the one or more of the plurality of perforations. The base, the plurality of supports, and the backing surface can be integrally formed together as a monolithic, load-bearing structure.

Disclosed are a method and a system for solar photovoltaic power station and the system includes: an unmanned aerial vehicle flying over the sky of a plurality of solar photovoltaic panels included in a solar photovoltaic power station and obtaining and providing a monitoring image by photographing the solar photovoltaic panel; and a computing device correcting the monitoring image and obtaining the corrected monitoring image, and executing a solar photovoltaic power station monitoring application of performing a malfunction area inspection process for the solar photovoltaic panel based on the obtained corrected monitoring image.

An unmanned vehicle, and an unmanned vehicle software and firmware updating system and method, are provided. The method includes the following steps. A geographical location of the unmanned vehicle is obtained. A specific field type corresponding to the geographical location is obtained. A software and a firmware of the unmanned vehicle are determined to be in need of updating. A new program version for updating the software and the firmware of the unmanned vehicle is obtained based on the specific field type. The software and the firmware of the unmanned vehicle are updated according to the new program version.

A system may include a fastener strap, a first component, and a second component. The fastener strap may include a strap section, at least one first stiffening rib section, and at least one second stiffening rib section. The first component may include a first strap section channel and at least one first stiffening rib section channel positioned along the first strap section channel. The second component may include a second strap section channel and at least one second stiffening rib section channel positioned along the second strap section channel. When the fastener strap is installed in the first strap section channel, the at least one first stiffening rib section channel, the second strap section channel, and the at least one second stiffening rib section channel, a load-bearing connection may be formed between the first component and the second component.

An air-cooled fuel-cell freeze-protection system for a rotorcraft using a controller to vary a heating system for an air-cooled fuel cell. The heating system heats supply air for the air-cooled fuel cell, and a butterfly valve varies a pressure of the supply air to the air-cooled fuel cell. The heating system can be an electric heater, a heat exchanger, or a combination of heater and heat exchanger.

A disassembling structure includes a first connecting piece, a second connecting piece and a guide and positioning piece; the guide and positioning piece is fixedly arranged on the first module; the second connecting piece is fixedly arranged on the second module; the second connecting piece and the guide and positioning piece are opposite to each other; the guide and positioning piece is attached to the outer side of the second connecting piece in a covering manner to guide and position the first module and the second module; the first connecting piece is detachably connected to the second connecting piece after passing through the guide and positioning piece.

Systems and methods are described for using data collected by unmanned aerial vehicles (UAVs) to generate insurance claim estimates that an insured individual may quickly review, approve, or modify. When an insurance-related event occurs, such as a vehicle collision, crash, or disaster, one or more UAVs are dispatched to the scene of the event to collect various data, including data related to vehicle or real property (insured asset) damage. With the insured's permission or consent, the data collected by the UAVs may then be analyzed to generate an estimated insurance claim for the insured. The estimated insurance claim may be sent to the insured individual, such as to their mobile device via wireless communication or data transmission, for subsequent review and approval. As a result, insurance claim handling and/or the online customer experience may be enhanced.