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: Solar electroosmosis power generation devices and methods thereof are disclosed. In some embodiments, a first electrode in transparent inorganic electrolyte solution is provided in a first temperature chamber including a first light-transmitting wall. A second electrode in transparent inorganic electrolyte solution is provided in a second temperature chamber including a second light-tight wall. The first and second temperature chambers are connected by a cation nano-film with nanoparticles on its surface close to the first temperature chamber. An external circuit connects the first and second electrodes. When the nano-film is irradiated through the first wall by sunlight, the temperature of the first temperature chamber is higher than that of the second temperature chamber. In some embodiments, the solar electroosmosis power generation device improves solar energy utilization efficiency, and can be used in the field of solar light-heat-electric conversion.

Abstract: A method for preparing a nanofiltration membrane and a nanofiltration membrane prepared therefrom, the method comprising the following steps: dissolving a polymer in a solvent to prepare a polymer solution, and curing the polymer solution on a support material to form a base membrane; sequentially applying a first liquid-phase solution and a second liquid-phase solution on the base membrane to form a nascent membrane; densifying the nascent membrane by using a solution that contains an alkaline substance; processing the densified nascent membrane by using a solution that contains an acidic substance; and obtaining the nanofiltration membrane after post-processing and drying.

Abstract: A method for evaluating brittleness of a deep shale reservoir and a computer readable storage medium. The method includes determining a Rickman brittleness index of the deep shale reservoir and determining an effective pressure of the deep shale reservoir according to a pore pressure and an overlying formation pressure of the deep shale reservoir. The Rickman brittleness index is adjusted to obtain the brittleness index of the deep shale reservoir according to an exponential relationship of the brittleness index with the effective pressure of the deep shale reservoir. Inherent properties, such as rock brittle mineral content and the like, are better indicated by the Rickamn brittleness index, and then the brittleness index of the deep shale reservoir is obtained by utilizing the exponential relationship of the brittleness index with the effective pressure of the deep shale reservoir, to realize reasonable evaluation for the brittleness of the deep shale reservoir.

Abstract: A feature fusion and dense connection-based method for infrared plane object detection includes: constructing an infrared image dataset containing an object to be recognized, calibrating a position and class of the object to be recognized in the infrared image dataset, and obtaining an original known label image; dividing the infrared image dataset into a training set and a validation set; performing image enhancement preprocessing on images in the training set, performing feature extraction and feature fusion, and obtaining classification results and bounding boxes through a regression network; calculating a loss function according to the classification results and the bounding boxes in combination with the original known label image, and updating parameter values of a convolutional neural network; repeating the steps to iteratively update the parameters of the convolutional neural network; and processing images in the validation set through the parameters to obtain a final object detection result map.

Abstract: Solar electroosmosis power generation devices and methods thereof are disclosed. In some embodiments, a first electrode in transparent inorganic electrolyte solution is provided in a first temperature chamber including a first light-transmitting wall. A second electrode in transparent inorganic electrolyte solution is provided in a second temperature chamber including a second light-tight wall. The first and second temperature chambers are connected by a cation nano-film with nanoparticles on its surface close to the first temperature chamber. An external circuit connects the first and second electrodes. When the nano-film is irradiated through the first wall by sunlight, the temperature of the first temperature chamber is higher than that of the second temperature chamber. In some embodiments, the solar electroosmosis power generation device improves solar energy utilization efficiency, and can be used in the field of solar light-heat-electric conversion.

Abstract: A feature fusion and dense connection-based method for infrared plane object detection includes: constructing an infrared image dataset containing an object to be recognized, calibrating a position and class of the object to be recognized in the infrared image dataset, and obtaining an original known label image; dividing the infrared image dataset into a training set and a validation set; performing image enhancement preprocessing on images in the training set, performing feature extraction and feature fusion, and obtaining classification results and bounding boxes through a regression network; calculating a loss function according to the classification results and the bounding boxes in combination with the original known label image, and updating parameter values of a convolutional neural network; repeating the steps to iteratively update the parameters of the convolutional neural network; and processing images in the validation set through the parameters to obtain a final object detection result map.

Abstract: Provided are a method for directly preparing expanded graphite or graphene under normal temperature and normal pressure, a graphene material, and a product. The method comprises the following specific steps: firstly dispersing graphite in an acidic medium containing an oxidizing agent, and then enabling obtained suspension liquid to stand under normal temperature and normal pressure, thus obtaining expanded graphite. The method does not involve any high-temperature high-pressure reaction process, is safe in operation, low in energy consumption and high in efficiency, and is environmentally-friendly. Obtained expanded graphite can realize 50-1500 times of volume expansion, and an sp2 hybridization structure of a graphene sheet layer is basically not damaged; and the obtained expanded graphite can be widely applied to the fields of energy storage, heat management, photoelectronic devices, solar cells, anti-corrosive materials, various composite materials, and the like.

Abstract: Provided are a method for directly preparing expanded graphite or graphene under normal temperature and normal pressure, a graphene material, and a product. The method comprises the following specific steps: firstly dispersing graphite in an acidic medium containing an oxidizing agent, and then enabling obtained suspension liquid to stand under normal temperature and normal pressure, thus obtaining expanded graphite. The method does not involve any high-temperature high-pressure reaction process, is safe in operation, low in energy consumption and high in efficiency, and is environmentally-friendly. Obtained expanded graphite can realize 50-1500 times of volume expansion, and an sp2 hybridization structure of a graphene sheet layer is basically not damaged; and the obtained expanded graphite can be widely applied to the fields of energy storage, heat management, photoelectronic devices, solar cells, anti-corrosive materials, various composite materials, and the like.

Abstract: The present invention provides a diagnostics methodology and embedded electronic system that allows optimized low-frequency data sampling for EMA motoring subsystems in an operating vehicle. Each of the EMA motoring subsystems includes: an EMA; at least one motor for driving the EMA; and power controls for operating the motor, wherein the power controls includes a DSP controller for sampling and processing data at low-frequency sampling rates. The diagnostic methodology includes a method that has the steps of: determining an operational mode of the EMA motoring subsystem; selecting a sampling rate optimized for the determined operational mode; acquiring and processing data at the selected sampling rate; and analyzing the processed data to identify and classify a fault of the EMA motoring subsystem.

Abstract: The present invention provides a diagnostics methodology and embedded electronic system that allows optimized low-frequency data sampling for EMA motoring subsystems in an operating vehicle. Each of the EMA motoring subsystems includes: an EMA; at least one motor for driving the EMA; and power controls for operating the motor, wherein the power controls includes a DSP controller for sampling and processing data at low-frequency sampling rates. The diagnostic methodology includes a method that has the steps of: determining an operational mode of the EMA motoring subsystem; selecting a sampling rate optimized for the determined operational mode; acquiring and processing data at the selected sampling rate; and analyzing the processed data to identify and classify a fault of the EMA motoring subsystem.

Abstract: The present invention provides a diagnostics methodology and embedded electronic system that allows optimized low-frequency data sampling for EMA motoring subsystems in an operating vehicle. Each of the EMA motoring subsystems includes: an EMA; at least one motor for driving the EMA; and power controls for operating the motor, wherein the power controls includes a DSP controller for sampling and processing data at low-frequency sampling rates. The diagnostic methodology includes a method that has the steps of: determining an operational mode of the EMA motoring subsystem; selecting a sampling rate optimized for the determined operational mode; acquiring and processing data at the selected sampling rate; and analyzing the processed data to identify and classify a fault of the EMA motoring subsystem.

Abstract: The present invention provides a diagnostics methodology and embedded electronic system that allows optimized low-frequency data sampling for EMA motoring subsystems in an operating vehicle. Each of the EMA motoring subsystems includes: an EMA; at least one motor for driving the EMA; and power controls for operating the motor, wherein the power controls includes a DSP controller for sampling and processing data at low-frequency sampling rates. The diagnostic methodology includes a method that has the steps of: determining an operational mode of the EMA motoring subsystem; selecting a sampling rate optimized for the determined operational mode; acquiring and processing data at the selected sampling rate; and analyzing the processed data to identify and classify a fault of the EMA motoring subsystem.

Abstract: The present invention provides a diagnostics methodology and embedded electronic system that allows optimized low-frequency data sampling for EMA motoring subsystems in an operating vehicle. Each of the EMA motoring subsystems includes: an EMA; at least one motor for driving the EMA; and power controls for operating the motor, wherein the power controls includes a DSP controller for sampling and processing data at low-frequency sampling rates. The diagnostic methodology includes a method that has the steps of: determining an operational mode of the EMA motoring subsystem; selecting a sampling rate optimized for the determined operational mode; acquiring and processing data at the selected sampling rate; and analyzing the processed data to identify and classify a fault of the EMA motoring subsystem.

Abstract: A novel architecture of high-power four-quadrant hybrid power modules based on high-current trench gate IGBTs and arrays of low-current wide-bandgap diodes is conceived. The distributed physical layout of high power density wide-bandgap devices improves the cooling inside a fully-sealed module case, thus avoiding excessive internal heat flux build up and high PN junction temperature, and benefiting the converter's reliability and efficiency. The design of multiple-in-one hybrid integrated AC-switch module at high power ratings is enabled by using hybrid AC switch cells and aluminum nitride substrate structure.

Abstract: The present invention provides a diagnostics methodology and embedded electronic system that allows optimized low-frequency data sampling for EMA motoring subsystems in an operating vehicle. Each of the EMA motoring subsystems includes: an EMA; at least one motor for driving the EMA; and power controls for operating the motor, wherein the power controls includes a DSP controller for sampling and processing data at low-frequency sampling rates. The diagnostic methodology includes a method that has the steps of: determining an operational mode of the EMA motoring subsystem; selecting a sampling rate optimized for the determined operational mode; acquiring and processing data at the selected sampling rate; and analyzing the processed data to identify and classify a fault of the EMA motoring subsystem.

Abstract: A novel architecture of high-power four-quadrant hybrid power modules based on high-current trench gate IGBTs and arrays of low-current wide-bandgap diodes is conceived. The distributed physical layout of high power density wide-bandgap devices improves the cooling inside a fully-sealed module case, thus avoiding excessive internal heat flux build up and high PN junction temperature, and benefiting the converter's reliability and efficiency. The design of multiple-in-one hybrid integrated AC-switch module at high power ratings is enabled by using hybrid AC switch cells and aluminum nitride substrate structure.