Abstract: Disclosed in the present application are a variable aperture, a camera module and an electronic device, which relate to the field of electronic technology. The variable aperture includes a roller, a rotation bracket, a plurality of blades and a base. The base is annular. The base is sleeved outside the rotation bracket. The roller is located between the base and the rotation bracket and is in rollable connection with the base and the rotation bracket. The multiple blades are annularly distributed on one side of the base and are encircled to form an aperture hole, multiple blades are in rotatable connection with the base and in slidable connection with the rotation bracket.

Abstract: A method and a system for monitoring abnormal state of swines based on edge computing are provided, including a data acquisition and processing module, an edge computing gateway, a cloud server and a client, where the data acquisition and processing module includes a microphone array, a digital signal processing module, a power amplification module, a power supply module and a communication module; the microphone array is used to acquire and store audio data collected in the pigsty; after being processed by the data processing module, the audio data is transmitted to the edge computing gateway through the communication module; the edge computing gateway identifies and locates the abnormal sound in the pigsty, and sends the result to the cloud server; the cloud server stores the data, establishes an early warning model of the swine abnormal state, and sends the early warning information to mobile phone or computer client.

Abstract: Disclosed are a three-dimensional visual perception method, a model training method and a device. The three-dimensional visual perception method includes: obtaining an image captured by a camera mounted on a movable device; determining, based on a camera parameter corresponding to the image, position information respectively corresponding to at least partial pixels in the image within a camera coordinate system; generating a position encoding feature map based on the position information respectively corresponding to the at least partial pixels; generating a fusion feature map based on the image and the position encoding feature map; and generating, based on the fusion feature map, a three-dimensional visual perception result corresponding to the image by using a three-dimensional visual perception model. According to the embodiments of this disclosure, accuracy and reliability of the three-dimensional visual perception result are well ensured.

Abstract: The disclosure provides a method and system for diagnosing vehicle faults using a knowledge graph. A fault snapshot image can be generated when a fault monitoring module of a vehicle terminal detects a vehicle fault. A cloud server can parse from the fault snapshot image a vehicle information and perform a progressive fault diagnosis in a fault knowledge graph at the cloud server using the vehicle information to determine a target repair suggestion node.

Abstract: A method for generating repair recommendations for vehicles, comprises (S1) collecting a real-time operating data of the vehicle in response to a fault diagnosis request and transmitting the real-time operating data to a cloud server; (S2) the cloud server performing a fault diagnosis on the vehicle based on the real-time operating data to generate a comprehensive fault diagnosis result and a comprehensive repair recommendation; and (S3) the cloud server generating a customized repair plan for the vehicle and transmitting the customized repair plan to a requester of the fault diagnosis request, the customized repair plan comprising the comprehensive fault diagnosis result and the comprehensive repair recommendation. The method of the disclosure takes into account the model, batch and historical fault data of the vehicle, thereby enhancing the accuracy of fault diagnosis, reducing repair time and cost, and improving the efficiency of vehicle repair.

Abstract: The disclosure provides a method for constructing a knowledge graph for vehicle fault diagnosis. The method can comprise creating a database of vehicle components; creating a database of abnormal signals; creating a fault knowledge triple from existing unstructured fault diagnostic data and semi-structured fault diagnostic data; and associating the abnormal signal, the vehicle component and the repair suggestion based on the fault knowledge triples to construct the knowledge graph for vehicle fault diagnosis.

Abstract: The disclosure provides a method and system for diagnosing vehicle faults and system using digital twin. The method can comprise: (S1) collecting a vehicle data of a vehicle; (S2) storing the collected vehicle data in association with respective generation time stamp and sensor identification codes; (S3) performing a preliminary diagnosis of whether the vehicle has a fault based on the collected vehicle sensor data; (S4) performing a digital twin diagnosis of the vehicle fault if the preliminary diagnosis result indicates that the vehicle has a fault; and (S5) generating a visual representation of the fault. In comparison to conventional diagnostic techniques, the real-time digital twin model-based method for diagnosing vehicle faults of the disclosure offers enhanced efficiency, precision, and comprehensive fault detection.

Abstract: The disclosure provides a method for diagnosing vehicle faults based on an environment-adaptive Bayesian network. The method can comprise receiving an input of a faulty symptom of a vehicle into a vehicle fault detection system; selecting an optimal weighted association fault tree model from a library comprising a plurality of weighted association fault tree models, based on the faulty symptom; mapping the optimal weighted association fault tree model to an environment-adaptive Bayesian network; calculating a credibility of each leaf node within the environment-adaptive Bayesian network; and generating a fault ranking and a fault status information based on the credibility of each leaf node within the environment-adaptive Bayesian network, and initiating a multimedia fault alert.

Abstract: A circuit for automatically calculating a speed of a rotor includes: an edge generation module configured to receive Hall signals of three phases, and generate an edge response signal for the Hall signal of each phase; a counting module, which is connected to an output end of the edge generation module, configured to count the time difference between two adjacent jumps of the Hall signal of each phase on the basis of an output signal of the edge generation module to obtain a count value of each phase, output the current count value, and generate a trigger signal when the Hall signal of any phase jumps; and a division module, which is connected to an output terminal of the counting module, configured to divide an angle difference between the two adjacent jumps of the Hall signal by the current count value to obtain a rotation speed of an electric motor.

Abstract: The disclosure provides a method for remotely diagnosing faults in a powertrain of an electric vehicle. The method can comprise collecting real-time data from the powertrain of the electric vehicle; transmitting the real-time data to a cloud platform; ranking a feature importance on the real-time data using a random forest model; optimizing hyperparameters of the random forest model using a simulated annealing algorithm; deploying the optimized random forest model on the cloud platform for real-time fault classification and diagnosis; and using the cloud platform to provide real-time fault alerts and diagnostic reports for the powertrain of the electric vehicle.

Abstract: Embodiments of this application provide a display method for an electronic device with a flexible screen and an electronic device. In a process in which a screen is unfolded or folded, a first animation may be generated and displayed. As an unfolding angle of the screen gradually increases, a size of an interface for displaying content gradually increases, relative positions of elements on the interface gradually increase, and sizes of the elements gradually increase. In addition, as the unfolding angle of the screen gradually decreases, the size of the interface for displaying content gradually decreases.

Abstract: A data sequence prediction method includes calculating, based on historical data sequences of N objects, a similarity distance between every two objects of the N objects, to obtain a similarity distance set, where the similarity distance is used to represent a similarity degree of two objects, the historical data sequence includes a plurality of pieces of data arranged according to a preset rule, and N is a positive integer greater than 1, dividing the N objects into K prediction object classes based on the similarity distance set using a clustering algorithm, where K is a positive integer, and K?N, and predicting a future data sequence of an object included in at least one prediction object class of the K prediction object classes.

Abstract: The disclosure relates to a content processing method and apparatus, a device, and a storage medium. The method includes: showing a target content page to display a multimedia content; determining a content consumption intention on the multimedia content based on browsing information corresponding to the target content page; determining target summary information that adapted to the content consumption intention, where the target summary information is generated at least based on the multimedia content; in response to the content consumption intention being a shallow consumption intention, the target summary information is first summary information; and in response to the content consumption intention being a deep consumption intention, the target summary information is second summary information with a larger information content; and displaying the target summary information on the target content page.

Abstract: The present disclosure provides methods, kits, and materials for amplifying, enriching or detecting a target nucleic acid, especially in a small amount, in a sample by digesting or degrading non-target nucleic acids in the sample before or during amplification and may detect the target nucleic acids. Interference of the non-target nucleic acids before or during amplification or detection will be minimized and the sensitivity, accuracy and efficiency of the amplification or detection will be greatly increased.

Abstract: The present disclosure provides a variable aperture, camera module, and electronic device, belonging to the field of electronic technology. The variable aperture includes: a first base member, a driving member, and at least one shading blade; The first base member includes an aperture hole, at least one shading blade is rotatably connected to the first base member, and the driving member is movably connected to at least one shading blade; The variable aperture is configured so that when the driving member moves relative to the first base member, the driving member drives at least one shading blade to rotate relative to the first base member, causing at least a portion of the shading blade to enter or exit the aperture hole, changing the effective light entrance area of the aperture hole.

Abstract: The utility model discloses a machining device having both a drill and a lathe. A handle (7) is fixed on the shell of the bench drill, a base (2) and a handle (7) of the bench drill are supported on the ground, a holding block (8) located on the left side of the crack lifting mechanism (5) is arranged on the guide rail (3), a tool rest & base assembly (9) is arranged on the top of the holding block (8); a support portion (10) is fixed on the top of the rocking lift mechanism, a tailstock assembly (11) is fixed on the top of the support portion (10), a tailstock spindle (12) is arranged in the tailstock assembly (11), a tailstock center (13) is inserted in the left port of the tailstock spindle (12), a tailstock hand wheel (14) is arranged on the right end of the tailstock assembly (11) for driving the tailstock spindle (12) to extent or retract, and a locking handle (15) for locking the tailstock spindle (12) is arranged on the tailstock assembly (11).

Abstract: A grounding member includes a plurality of contact terminals arranged in a row, a first connection strip connected to a first end of each of the contact terminals, and a second connection strip connected to a second end of each of the contact terminals. Each of the contact terminals has an elastic contact part electrically contacting one of a plurality of grounding terminals of a connector. The grounding member is an integral stamped component that interconnects the grounding terminals.

Abstract: A cable connector assembly includes a connector housing, a plurality of connection terminals, a plurality of cables, and an organizer. The plurality of connection terminals are arranged in the connector housing. Each of the plurality of cables includes at least one pair of signal wires. The organizer is arranged between the plurality of connection terminals and the plurality of cables. The signal wires of the plurality of cables are connected to the corresponding connection terminals at the organizer.

Abstract: Systems and methods for an adapter for a high voltage (HV) battery system of an electrified vehicle (EV) involve an adapter housing configured to physically interface between (i) a battery module-side low voltage (LV) connector and (ii) a cell monitoring circuit (CMC) harness-side LV connector and a plurality of connector pins disposed within the adapter housing and being configured to, at their first ends, electrically connect to the module-side LV connector, at their opposing second ends, electrically connect to the harness-side LV connector, and act as a fuse such that at least one of the plurality of connector pins breaks an electrical connection therethrough in response to a current spike. In response to a blown fuse malfunction, the adapter could be replaced by a new adapter having a new adapter housing with a new plurality of connector pins disposed therein.