Abstract: The present disclosure discloses a method for dual-motor control on an electric vehicle based on adaptive dynamic programming. First, total torque required is calculated based on obtained data information of the electric vehicle under various driving conditions, and offline training is conducted on an execution network and an evaluation network. Then total torque is dynamically distributed for two motors of the electric vehicle under various driving conditions to obtain an efficiency MAP database. Afterwards, iteration and online learning are conducted on the execution network and the evaluation network based on data information of the electric vehicle under different driving conditions that is obtained in real time, so as to find an optimal control law for the electric vehicle under a real-time driving condition. In this way, the dual-motor control on the electric vehicle is optimized.

Abstract: An air-ground joint trajectory planning and offloading scheduling method and system for distributed multiple objectives is provided. At the beginning of each timeslot, an unmanned aerial vehicle (UAV) selects a flight direction based on a total energy consumption of all devices and a total amount of unprocessed data of all the devices in the current system, and flies a fixed distance towards a certain direction. Before the UAV reaches a new location, each terrestrial user independently selects a task data offloading scheduling strategy based on the total energy consumption of all the devices and the total amount of the unprocessed data of all the devices in the current system. In order to improve an expected long-term average energy efficiency and data processing capability, the present disclosure also provides average feedbacks for an energy consumption and unprocessed data.

Abstract: System and methods for event prediction during drilling operations are provided. Regression data associated with coefficients of a predictive model are retrieved for a downhole event during a drilling operation along a planned path of a wellbore. The regression data includes a record of changes in historical coefficient values associated with prior occurrences of the event. As the wellbore is drilled over different stages of the operation, a value of an operating variable is estimated based on values of the coefficients and real-time data acquired during each stage. A percentage change in coefficient values adjusted between successive stages of the operation is tracked. An occurrence of the downhole event is estimated, based on a correlation between the percentage change tracked for at least one coefficient and a corresponding change in the historical coefficient values. The path of the wellbore is adjusted, based on the estimated occurrence of the event.

Abstract: A method and device for transmitting flight information. The method comprises: generating switching request related signaling, the switching request related signaling carrying flight path information of an unmanned aerial vehicle; and sending the switching request related signaling to a target base station. The method may also be a method applied to an MME side, and comprises: receiving switching demand signaling sent by a source base station, the switching demand signaling carrying flight path information of an unmanned aerial vehicle; and sending second switching request signaling to a target base station, the second switching request signaling carrying flight path information of an unmanned aerial vehicle.

Abstract: This electronic configuration assist device of a flight of an aircraft includes: an acquisition module configured to acquire a flight modality, previously selected by a user from a set of predefined flight modalities; a determination module configured to determine a group of avionics functional component(s) as a function of the acquired modality, each functional component having an elementary score for each predefined flight modality, an overall score being calculated for each possible group of components from the elementary score or scores of the components of the said group for the acquired modality, the determined group being the one having the best overall score among the calculated overall scores; a display module configured to display information relating to each component of the determined group of avionics functional component(s).

Abstract: Example embodiments are directed to generating an optimized network of flight paths and an operations volume around each of these flight paths. A network system creates a source network of paths, whereby the source network comprises a set of possible paths between two locations. The network system assigns a cost for traversing each edge of each path of the source network and aggregates the cost for traversing each edge of each path to obtain a cost for each path of the source network. Based on the cost for each path, the network system identifies a path having the lowest cost, whereby the path having the lowest cost is the optimized route between the two locations. The network system then generates an operations volume for the optimized route. The operations volume represents airspace surrounding the optimized route. The operations volume is transmitted to a further system for use.

Abstract: A control method includes obtaining lock information including a flight platform identification and sending a lock message to a control device according to the lock information. The control device includes a flight platform corresponding to the flight platform identification or an adapter ring carried by the flight platform. The lock message indicates to lock a load carried by and communicatively connected to the flight platform.

Abstract: Cleaning vehicle sensors, wherein position data of a vehicle are received (1). An unmanned aircraft suitable for cleaning vehicle sensors flies to the vehicle on the basis of the received position data of the vehicle, positions itself, on the basis of location data of a sensor of the vehicle that is to be cleaned, near the vehicle in such a way that the sensor to be cleaned can be cleaned, and cleans the sensor. The vehicle can transmit the position data of the vehicle to a Service Station via a mobile data connection, wherein the Service Station causes the unmanned aircraft to fly to the vehicle and, after the end of the cleaning operation, to return to the Service Station.

Abstract: Provided is an area evaluation system comprising an area evaluation unit (601) that evaluates, when a first mission that uses a first area and a second mission that does not use the first area are provided, utility of the first area based on a difference between utility of the first mission and utility of the second mission.

Abstract: A method for visualizing an effect of wind on an aircraft travel comprising the steps determining at least one wind speed and wind direction for a predefined airspace, identifying a predefined travel route of at least one selected aircraft within the predefined airspace, calculating at least one reference distance flown by the selected aircraft along a route segment of the travel route in a predefined reference time interval, wherein the calculating uses at least one air speed of the selected aircraft at the route segment, the determined wind speed and the determined wind direction, and optionally at least one altitude, visualizing the predefined travel route or the route segment and indicating said reference distance on the visualized predefined travel route or route segment.

Abstract: A data monitoring method and a data monitoring medium. The method has: acquiring current vibration data of a target flight device in real time; Determining an anomaly protection strategy of the target flight device based on the current vibration data; The target flight equipment is controlled to execute corresponding operations according to an abnormality protection strategy. Embodiments of the invention, by acquiring the current vibration data of the target flight equipment in real time, determining an anomaly protection strategy of the target flight device based on the current vibration data.

Abstract: A control device includes: an in-vehicle communication unit capable of communicating with an on-vehicle control device; and a control unit configured to control the in-vehicle communication unit. The control unit monitors a power storage amount of an on-vehicle battery during traveling, and executes a charge control for causing the in-vehicle communication unit to transmit an instruction of power generation to an on-vehicle generator that supplies power to the on-vehicle battery, when the power storage amount is reduced to reach a threshold value. The threshold value corresponds to a power amount greater than a necessary power amount required for an update process of a control program in the on-vehicle control device.

Abstract: This invention teaches a multi-sensor quality inference system for additive manufacturing. This invention still further teaches a quality system that is capable of discerning and addressing three quality issues: i) process anomalies, or extreme unpredictable events uncorrelated to process inputs; ii) process variations, or difference between desired process parameters and actual operating conditions; and iii) material structure and properties, or the quality of the resultant material created by the Additive Manufacturing process. This invention further teaches experimental observations of the Additive Manufacturing process made only in a Lagrangian frame of reference. This invention even further teaches the use of the gathered sensor data to evaluate and control additive manufacturing operations in real time.

Abstract: A first vehicle includes a communication device configured to send and receive V2V information, a memory configured to store the V2V information, and a processor configured to perform abnormal traveling determination processing. A second vehicle includes a communication device configured to send and receive the V2V information, a memory configured to store the V2V information and driving environment information on the second vehicle, and a processor configured to perform objective determination processing. In the objective determination processing, whether the first vehicle is traveling abnormally is objectively determined based on the driving environment information on the second vehicle. The determination result of the objective determination processing is sent to the first vehicle. In the abnormal traveling determination processing, whether the first vehicle is traveling abnormally is determined based on this determination result.

Abstract: A system, method, node, apparatus, and computer program for allocating a flight corridor for use by an UAV (10) for traveling from a starting point to a destination point is presented. The UAV (10) is connected to a cellular network and associated with an Application Server, UAV-AS, (100) being responsible for an own geographical service area (150) where the UAV (10) is located. The UAV-AS (100) is maintaining a set of predetermined flight corridor segments in the geographical service area (150). The method is performed by the UAV-AS (100) and comprises receiving a request for allocation of a flight corridor for use by the UAV (10), the request comprising a starting point and a destination point. The method further comprises allocating a flight corridor being seamlessly covered by the cellular network and allowing a seamless control of the UAV (10) by the UAV-AS (100), the flight corridor comprising a concatenation of flight corridor segments and bridging the starting point and the destination point.

Abstract: A method and a spherical field of view gimbal system (“gimbal system”) are provided, comprising: a suspension arm having a first terminal and a second terminal; a first gimbal arm connected to the suspension arm; a second L-shaped gimbal arm connected to the gimbal arm; and a third L-shaped gimbal arm connected to the first gimbal arm; and controller circuit configured to measure the errors in rotational angles and adjust the rotations of the second L-shaped gimbal arm and second L-shaped gimbal arm accordingly.

Abstract: A method of detecting sensor malfunction in an automated guided vehicle, AGV, including for at least two different pairs of wheel units in a motion state of the AGV, calculating a motion value for at least one motion variable of a body of the AGV based on sensor data from a wheel sensors and/or a steering sensors; for at least one motion variable, calculating a difference between the motion values for at least two different pairs; and determining that there is a malfunction in one or more of the wheel sensors and the steering sensors if one of the at least one difference exceeds a threshold value associated with the respective motion variable.

Abstract: A landing management device sets a partition, in a predetermined landing area, on the basis of information of an unmanned aerial vehicle that lands on a landing area, the partition being obtained by virtually partitioning a part of the landing area, and transmits landing control information to a control device, in order to make the unmanned aerial vehicle land on a partial area corresponding to the partition. The control device controls landing of the unmanned aerial vehicle on the basis of the landing control information received from the landing management device.

Abstract: A method for updating a flight plan comprising, via an avionics device, at least a portion of a flight plan from an external source, authenticating or validating the update, generating a set of updated flight parameters, comparing the set of updated flight parameters with a current set of flight parameters, receiving a set of environmental conditions, performing a series of plausibility checks and automatically updating at least a portion of the flight plan or generating an indication.

Abstract: A supervision method for a flight state of an unmanned aerial vehicle includes respectively establishing communication connections with the unmanned aerial vehicle and a supervision server, receiving identity information about the unmanned aerial vehicle and flight information about the unmanned aerial vehicle sent by the unmanned aerial vehicle, automatically sending the identity information about the unmanned aerial vehicle and the flight information to the supervision server in an on-line mode, receiving at least one of a flight restriction instruction or warning information sent by the supervision server, and forwarding the flight restriction instruction to the unmanned aerial vehicle, so that the unmanned aerial vehicle executes the flight restriction instruction, thereby restricting flight behaviour of the unmanned aerial vehicle in an on-line flight mode via the flight restriction instruction.