Abstract: A conveying device (100) and an inspection system (1000) are provided. The conveying device includes: a first support frame (1); a first conveying mechanism (2) and a second conveying mechanism (3) which are installed on the first support frame; and a switching mechanism (4) configured to selectively lift the first conveying mechanism or the second conveying mechanism in a vertical direction, such that the first conveying mechanism or the second conveying mechanism carries goods (401) and conveys the goods in a first horizontal direction or a second horizontal direction different from the first horizontal direction. The conveying device may achieve a positioning and a smooth continuous conveying of goods, and achieve a smooth conveying and a calibrated positioning of the goods in different postures.

Abstract: A sealing structure includes an inner pipe, an outer pipe, and a sealing ring, where the outer pipe is detachably sleeved on the inner pipe, a slot for inserting a pipe is formed between an inner wall of the outer pipe and an outer wall of the inner pipe, and the outer wall of the inner pipe is provided with a sealing groove for placing the sealing ring; the sealing ring includes a main body provided with a lip; the sealing groove includes a first sealing groove and a second sealing groove, the first sealing groove and the second sealing groove are stepped; the bottom of the lip fits the bottom of the first sealing groove; and the bottom of the main body fits the bottom of the second sealing groove.

Abstract: The present disclosure provides a battery box, a battery pack with the battery box, and a vehicle. The battery box includes a metal frame. Multiple accommodating cavities for accommodating cells are formed in the metal frame. An inner surface of the accommodating cavity is provided with an insulation coating. A thickness D of the insulation coating meets: D = V × A p × I . I represents a test current, V represents a test voltage, and p represents a volume resistivity of the insulation coating; D represents a spraying thickness of the insulation coating; and A represents a total spraying area of the insulation coating.

Abstract: A ranging method based on a laser radar system, a device and a readable storage medium are provided. The ranging method includes receiving ranging data obtained by measuring via a plurality of laser radars of a laser radar system, where the ranging data includes distances between the laser radars and obstacles in measurement ranges of the laser radars; establishing a three-dimensional coordinate model according to the ranging data; and determining a distance between a target unmanned device and each obstacle according to the three-dimensional coordinate model. The ranging method can realize a ranging calibration task for a larger distance range, thereby effectively improving a calibration efficiency and accuracy of the visual image algorithm, compared with the existing method of ranging calibration of the visual image algorithm by a single laser radar.

Abstract: A structured beam generation device based on beam shaping and a method adopting the device are provided. Linearly polarized beam emitted by a laser sequentially passes through an electro-optic intensity modulator, a half-wave plate, and a first beam expander, and then enters a first polarization beam-splitting prism to be transmitted and reflected. The transmitted beam sequentially passes through a beam shaper, an optical delay line, and a first reflector to form a parallel ring-shaped beam to be transmitted by a second polarization beam-splitting prism. The reflected beam sequentially passes through an electro-optic phase modulator, a second reflecting mirror, and a second beam expander, and is then reflected by the second polarization beam-splitting prism and combined with the transmitted beam into a beam, which is then adjusted by a polarizing plate have consistent polarization direction, and is finally focused at a focal plane by a focusing lens for interference.

Abstract: Provided is a silicate article comprising SiO2, Al2O3, Na2O, K2O, MgO and ZrO2, wherein the content of Al2O3 is 15-28 parts by weight, the content of Na2O is 13-25 parts by weight, the content of K2O is 6-15 parts by weight, the content of MgO is 7-16 parts by weight, and the content of ZrO2 is 0.1-5 parts by weight, relative to 100 parts by weight of SiO2; and M is 5-13, as calculated by the following formula: M=P1*wt (Na2O)+P2*wt (K2O)+P3*wt (MgO)+P4*wt (ZrO2)?P5*wt (Al2O3)*wt (Al2O3). In the formula, P1 has a value of 0.53, P2 has a value of 0.153, P3 has a value of 0.36, P4 has a value of 0.67, and P5 has a value of 0.018.

Abstract: Disclosed herewith is a voltage coordinated control method for an AC/DC distribution system, including steps of: acquiring an actual voltage and an actual current at a DC-side of a converter of the system to obtain a first DC voltage and a first DC current; generating a present reference current signal for the converter according to a voltage-current droop control model, and generating a first control signal to control an output state of the converter; and acquiring an actual voltage at a DC-side of an energy storage adapter in the system to obtain a second DC voltage, generating a present reference power signal for the adapter according to a voltage-power droop control model, and generating a second control signal to control an output state of the adapter.

Abstract: The present application provides autonomous vehicle based position detection method and apparatus, a device and a medium, where the method includes: identifying an obtained first visual perception image according to an underlying neural network layer in a slender convolution kernel neural network model to determine feature information of the target linear object image, and identifying the feature information of the target linear object image by using a high-level neural network layer in the slender convolution kernel neural network model to determine size information of the target linear object image; further, matching the size information of the target linear object image with preset coordinate system map information to determine a position of the autonomous vehicle. Embodiments of the present application can accurately determine the position of the autonomous vehicle.

Abstract: The present disclosure provides a visual perception method, an apparatus, a device and a medium based on an autonomous vehicle, the method includes inputting an obtained first visual perception image collected by the autonomous vehicle into a first neural network model, recognizing multi-channel feature information of at least one target recognition object to be recognized, to eliminate redundant feature information in the first visual perception image; further, inputting the multi-channel feature information of the at least one target recognition object to be recognized into at least one sub-neural network model in a second neural network model respectively, to obtain at least one target recognition object; where there is a one to one correspondence between the target recognition object and the sub-neural network model.

Abstract: A structured beam generation device based on beam shaping and a method adopting the device are provided. Linearly polarized beam emitted by a laser sequentially passes through an electro-optic intensity modulator, a half-wave plate, and a first beam expander, and then enters a first polarization beam-splitting prism to be transmitted and reflected. The transmitted beam sequentially passes through a beam shaper, an optical delay line, and a first reflector to form a parallel ring-shaped beam to be transmitted by a second polarization beam-splitting prism. The reflected beam sequentially passes through an electro-optic phase modulator, a second reflecting mirror, and a second beam expander, and is then reflected by the second polarization beam-splitting prism and combined with the transmitted beam into a beam, which is then adjusted by a polarizing plate to have consistent polarization direction, and is finally focused at a focal plane by a focusing lens for interference.

Abstract: Disclosed herewith is a voltage coordinated control method for an AC/DC distribution system, including steps of: acquiring an actual voltage and an actual current at a DC-side of a converter of the system to obtain a first DC voltage and a first DC current; generating a present reference current signal for the converter according to a voltage-current droop control model, and generating a first control signal to control an output state of the converter; and acquiring an actual voltage at a DC-side of an energy storage adapter in the system to obtain a second DC voltage, generating a present reference power signal for the adapter according to a voltage-power droop control model, and generating a second control signal to control an output state of the adapter.

Abstract: An objective of the present invention is providing a method and apparatus for providing recommended information. A method according to the present invention comprises steps of: determining, based on one or more pieces of content information in one or more webpages, whether the one or more pieces of content information may be used as recommended information, respectively; obtaining feature information of the recommended information if the content information is recommended information; determining ordering information of the each piece of recommended information based on the feature information of each piece of recommended information; wherein the method further comprises the following step: if a user's browsing operation on the webpage corresponds to at least one piece of recommended information, presenting the at least one piece of recommended information.

Abstract: The disclosure relates to a method performed by an optical receiver, the method comprising receiving an optical communication signal comprised in a signal space, the signal comprising a set of received training symbols and a set of received payload symbols, determining a kernel operating in a feature space by using the set of training symbols and a reference set of training symbols indicative of an undistorted version of the training symbols, wherein determining a kernel further comprises determining at least an equalization mapping function ƒ configured to map received symbols to channel equalized symbols, and determining an error function (e) configured to generate a measure indicative of an error between symbols mapped by the equalization mapping function ƒ and an ideal equalization mapping function, performing nonlinear equalization of the payload symbols (C?1 to C?M) by performing linear equalization of the payload symbols (C?1 to C?M) in the feature space using the received training symbols (C1 to CN) a

Abstract: The present disclosure provides a visual perception method, an apparatus, a device and a medium based on an autonomous vehicle, the method includes inputting an obtained first visual perception image collected by the autonomous vehicle into a first neural network model, recognizing multi-channel feature information of at least one target recognition object to he recognized, to eliminate redundant feature information in the first visual perception image; further, inputting the multi-channel feature information of the at least one target recognition object to be recognized into at least one sub-neural network model in a second neural network model respectively, to obtain at least one target recognition object; where there is a one to one correspondence between the target recognition object and the sub-neural network model.

Abstract: A ranging method based on a laser radar system, a device and a readable storage medium are provided. The ranging method includes receiving ranging data obtained by measuring via a plurality of laser radars of a laser radar system, where the ranging data includes distances between the laser radars and obstacles in measurement ranges of the laser radars; establishing a three-dimensional coordinate model according to the ranging data; and determining a distance between a target unmanned device and each obstacle according to the three-dimensional coordinate model. The ranging method can realize a ranging calibration task for a larger distance range, thereby effectively improving a calibration efficiency and accuracy of the visual image algorithm, compared with the existing method of ranging calibration of the visual image algorithm by a single laser radar.

Abstract: An automobile image processing method and apparatus, and a readable storage medium are provided. A to-be-processed image collected by a collecting point of automobile images is obtained, where the collecting point is provided on a self-driving device; the to-be-processed image is processed using a deep learning model, and a state parameter of an automobile in the to-be-processed image is outputted; and an automobile behavior in the to-be-processed image is determined according to the state parameter. Thus the to-be-processed image collected by the collecting point can be processed using the deep learning model to obtain the state parameter for determining the automobile behavior, and thus the automobile behavior can be obtained, thereby providing a foundation and a basis for the self-driving device to adjust the driving strategy according to the road condition.

Abstract: The present application provides autonomous vehicle based position detection method and apparatus, a device and a medium, where the method includes: identifying an obtained first visual perception image according to an underlying neural network layer in a slender convolution kernel neural network model to determine feature information of the target linear object image, and identifying the feature information of the target linear object image by using a high-level neural network layer in the slender convolution kernel neural network model to determine size information of the target linear object image; further, matching the size information of the target linear object image with preset coordinate system map information to determine a position of the autonomous vehicle. Embodiments of the present application can accurately determine the position of the autonomous vehicle.

Abstract: Provided is a silicate article comprising SiO2, Al2O3, Na2O, K2O, MgO and ZrO2, wherein the content of Al2O3 is 15-28 parts by weight, the content of Na2O is 13-25 parts by weight, the content of K2O is 6-15 parts by weight, the content of MgO is 7-16 parts by weight, and the content of ZrO2 is 0.1-5 parts by weight, relative to 100 parts by weight of SiO2; and M is 5-13, as calculated by the following formula: M=P1*wt (Na2O)+P2*wt (K2O)+P3*wt (MgO)+P4*wt (ZrO2)?P5*wt (Al2O3)*wt (Al2O3). In the formula, P1 has a value of 0.53, P2 has a value of 0.153, P3 has a value of 0.36, P4 has a value of 0.67, and P5 has a value of 0.018.

Abstract: A Passive Optical Networks (PONs) structure and a remote node in such a structure constituting at least a part of a backhaul network for supporting a Radio Access Network, in which a number of radio base stations are connected to optical networks units (ONUs) of said PONs structure. The ONUs of said PONs structure are grouped between separate PONs of said PONs structure. The ONUs of a separate PON are interconnected passively through a remote node of the PON in order to separate inter base station traffic of X2 interfaces from uplink and downlink data traffic of S1 interface heading from/to a core network via an optical line terminal (OLT). The remote node comprises of power splitter for enabling interconnection between ONUs of different PONs of said PONs structure.