Abstract: The present invention relates to a sorting robot and a sorting method. The sorting method is applicable to the foregoing sorting robot, where the sorting robot is configured to deliver specific goods to be sorted to a specific sorting position, and a sorting mechanism carrying the specific goods to be sorted corresponds to the specific sorting position. The sorting method includes: S130: the sorting mechanism receiving goods to be sorted; S140: the sorting mechanism being raised or lowered to a height corresponding to the sorting position under drive of a lifting mechanism; and S160: the sorting mechanism performing an action to deliver the goods to be sorted that is placed on the sorting mechanism to the corresponding sorting position.

Abstract: The present disclosure provides an end-to-end attention pooling-based classification method for histopathological images. The method specifically includes the following steps: S1, cutting the histopathology image into patches of a specified size, removing the patches with too much background area and packaging the remaining patches into a bag; S2, training a deep learning network by taking the bag obtained in S1 as an input using a standard multi-instance learning method; S3, scoring all the patches by using the trained deep learning network, and selecting m patches with highest and lowest scores for each whole slide image to form a new bag; S4, building a deep learning network including an attention pooling module, and training the network by using the new bag obtained in S3; and S5, after the histopathology image to be classified is processed in S1 and S3, performing classification by using the model obtained in S4.

Abstract: A method for retrieving an inventory item based on a handling robot, where the handling robot includes: a storage frame; and a material handling device installed on the storage frame, and including a telescopic arm and a manipulator installed to the telescopic arm; and the method for retrieving an inventory item includes: driving, by the telescopic arm, the manipulator to extend to a preset position of warehouse shelf along a preset horizontal reference line; loading, by the manipulator that is remained on the reference line, the inventory item located in the preset position; driving, by the telescopic arm, the manipulator loaded with the inventory item to move to the storage frame along the reference line; and unloading, by the manipulator that is remained on the reference line, the inventory item to the storage frame.

Abstract: A method for retrieving an inventory item based on a handling robot, where the handling robot includes: a storage frame; and a material handling device installed on the storage frame, and including a telescopic arm and a manipulator installed to the telescopic arm; and the method for retrieving an inventory item includes: driving, by the telescopic arm, the manipulator to extend to a preset position of warehouse shelf along a preset horizontal reference line; loading, by the manipulator that is remained on the reference line, the inventory item located in the preset position; driving, by the telescopic arm, the manipulator loaded with the inventory item to move to the storage frame along the reference line; and unloading, by the manipulator that is remained on the reference line, the inventory item to the storage frame.

Abstract: This application relates to the technical field of intelligent logistics, and discloses an intelligent sorting system and method, a warehouse robot, and a processing terminal. The system includes a warehouse robot. The warehouse robot includes a box storage unit and a handling assembly. The warehouse robot may receive a box replacement instruction, where the box replacement instruction includes information of a to-be-replaced first box, and instruct, according to the box replacement instruction, the handling assembly to replace the first box with a second box stored in the box storage unit. Therefore, box replacement is realized by a robot. In this way, the efficiency of cargo sorting is enhanced.

Abstract: The invention provides a dynamic membrane reactor with function of nitrogen and phosphorus removal and an operation method thereof, and comprises a biological treatment system, a dynamic membrane loading system and an automatic system. The operation method comprises the following steps. (1) Before the formation of dynamic membrane, a porous filter for phosphorus removal is used as a cathode, a conductive precision filter screen is used as an anode, and aerobic denitrifying bacteria are inoculated into the dynamic membrane reactor under certain constant current density, hydraulic retention time and flux. (2) After the dynamic membrane is formed, the porous filter for phosphorus removal is used as the anode, the conductive precision filter screen is used as the cathode. And intermittent aeration is started at the anode under certain constant current density. (3) When the transmembrane pressure difference exceeds a certain range, hydraulic backwashing is performed under certain constant current density.

Abstract: The technical field of intelligent warehousing is related, and an intelligent warehousing system, a processing terminal, a warehouse robot, and an intelligent warehousing method are disclosed. Where the intelligent warehousing system (100) includes: a warehouse robot (10) and a material fetching device (20); the warehouse robot includes a first warehouse robot (11) and/or a second warehouse robot (12); the first warehouse robot is configured to receive a first scheduling instruction, and handle a material box to a first target position according to the first scheduling instruction; the second warehouse robot is configured to receive a second scheduling instruction, and handle a portable shelf to a second target position according to the second scheduling instruction; and the material fetching device is configured to receive a material fetching instruction, and fetch a material from the material box and/or the portable shelf according to the material fetching instruction.

Abstract: An intelligent warehousing system, a material fetching and placing method and a processing terminal thereof, where the intelligent warehousing system includes a first warehousing robot and a second warehousing robot, the first warehousing robot is configured to receive a first scheduling instruction, move to a fixed shelf to fetch and place a material box according to the first scheduling instruction, and handle the material box to a first target position; and the second warehousing robot is configured to receive a second scheduling instruction, move to a portable shelf according to the second scheduling instruction, and handle the portable shelf to a second target position. Through the technical solution of the present application, compatibility of the intelligent warehousing system is improved, which may be applied to a warehouse with different shelves, thus improving the utilization rate of the warehouse.

Abstract: A handling robot, a material fetching method, a material replenishing or returning method, and an intelligent warehousing system, the handling robot comprises a vertical bracket (19); a pallet (22) for storing a material box; and a handling system installed to the vertical bracket (19), where the pallet (22) is installed to the handling system, and the handling system is used for fetching a material box from one of a warehouse shelf (24) and the pallet (22), storing it onto the other, and/or fetching out a material from a material box stored on the pallet (22). With the configuration of the handling system, a material can be fetched out from a material box stored on the pallet, and after the material is fetched out, the material box is placed back onto the warehouse shelf, such manner of material fetching is flexible, and has high efficiency.

Abstract: A method for retrieving an inventory item based on a handling robot, where the handling robot includes: a storage frame; and a material handling device installed on the storage frame, and including a telescopic arm and a manipulator installed to the telescopic arm; and the method for retrieving an inventory item includes: driving, by the telescopic arm, the manipulator to extend to a preset position of warehouse shelf along a preset horizontal reference line; loading, by the manipulator that is remained on the reference line, the inventory item located in the preset position; driving, by the telescopic arm, the manipulator loaded with the inventory item to move to the storage frame along the reference line; and unloading, by the manipulator that is remained on the reference line, the inventory item to the storage frame.

Abstract: A method for retrieving an inventory item based on a handling robot, where the handling robot includes: a storage frame; and a material handling device installed on the storage frame, and including a telescopic arm and a manipulator installed to the telescopic arm; and the method for retrieving an inventory item includes: driving, by the telescopic arm, the manipulator to extend to a preset position of warehouse shelf along a preset horizontal reference line; loading, by the manipulator that is remained on the reference line, the inventory item located in the preset position; driving, by the telescopic arm, the manipulator loaded with the inventory item to move to the storage frame along the reference line; and unloading, by the manipulator that is remained on the reference line, the inventory item to the storage frame.

Abstract: A method for retrieving an inventory item based on a handling robot, where the handling robot includes: a storage frame; and a material handling device installed on the storage frame, and including a telescopic arm and a manipulator installed to the telescopic arm; and the method for retrieving an inventory item includes: driving, by the telescopic arm, the manipulator to extend to a preset position of warehouse shelf along a preset horizontal reference line; loading, by the manipulator that is remained on the reference line, the inventory item located in the preset position; driving, by the telescopic arm, the manipulator loaded with the inventory item to move to the storage frame along the reference line; and unloading, by the manipulator that is remained on the reference line, the inventory item to the storage frame.

Abstract: An Automated Guided Robot (AGV) system designed for carrying, storing and retrieving inventory items to and from storage shelves. The AGV (100) can move between warehouse shelves and reach to the inside of a shelf without turning. The AGV (100) is equipped with a material handling device (130). The material handling device (130) comprises a lateral device that is configured to move in a lateral direction either to the right side or to the left side. The movement of the lateral device can be either rotational or translational. The material handling device (130) further comprises a retractable device that retracts or extends in a direction perpendicular to the lateral direction. The retractable device allows the material handling device (130) to extend into the storage shelf to fetch or place an inventory item.

Abstract: Embodiments of the present application disclose a content generation method and apparatus. The method includes: acquiring product description information; selecting, by using a deep neural network model component, a content phrase matched with the product description information, wherein the deep neural network model component is obtained by training according to a plurality of pieces of historical product description information and historical content of the historical product description information; and generating content corresponding to the product description information based on the selected content phrase.

Abstract: The present disclosure discloses a method and an apparatus for automatically controlling a bias voltage of an optical modulator. The method includes: calculating a new Q bias voltage based on an acquired Q reference phase, a Q harmonic phase, a Q harmonic amplitude, a Q bias voltage and a Q error feedback coefficient, calculating a new I bias voltage based on an I reference phase, an I harmonic phase, an I harmonic amplitude, an I bias voltage and an I error feedback coefficient, and calculating a new P bias voltage based on a P reference phase, a P harmonic phase, a P harmonic amplitude, a P bias voltage and a P error feedback coefficient.

Abstract: A method and an apparatus for digitally and automatically controlling a bias voltage of an electro-optic optical modulator are disclosed. The method includes: outputting a scanning bias voltage; acquiring a first optical signal; converting the first optical signal into a first electrical signal; outputting a first direct current signal; calculating an operating bias voltage at each operating point and a half-wave voltage; calculating an error feedback coefficient and a dither amplitude; outputting an operating bias voltage and a dither signal with the dither amplitude; acquiring a second optical signal; converting the second optical signal into a second electrical signal; outputting a harmonic component; calculating a harmonic amplitude and a shift phase; calculating a new bias voltage; and using the new bias voltage as the operating bias voltage.

Abstract: The present invention discloses an airlift reactor assembly with a helical sieve plate, comprising a reaction tank, wherein a draft tube and a gas sparger are assembled in the reaction tank, the gas sparger is arranged just below an riser section of the draft tube, a helical sieve plate is arranged in the riser section of the draft tube, and a body of the helical sieve plate is helical upwards to guide a part of two/three-phase flow in the riser section, and the body of the helical sieve plate is provided with a plurality of sieve meshes to guide the remaining two/three-phase go through the helical sieve plate in the riser section and to break bubbles. The present invention gives consideration to both macroscopic mixing and microscopic mixing processes.

Abstract: The present disclosure discloses a method and an apparatus for automatically controlling a bias voltage of an optical modulator. The method includes: calculating a new Q bias voltage based on an acquired Q reference phase, a Q harmonic phase, a Q harmonic amplitude, a Q bias voltage and a Q error feedback coefficient, calculating a new I bias voltage based on an I reference phase, an I harmonic phase, an I harmonic amplitude, an I bias voltage and an I error feedback coefficient, and calculating a new P bias voltage based on a P reference phase, a P harmonic phase, a P harmonic amplitude, a P bias voltage and a P error feedback coefficient.

Abstract: A method and an apparatus for digitally and automatically controlling a bias voltage of an electro-optic optical modulator are disclosed. The method includes: outputting a scanning bias voltage; acquiring a first optical signal; converting the first optical signal into a first electrical signal; outputting a first direct current signal; calculating an operating bias voltage at each operating point and a half-wave voltage; calculating an error feedback coefficient and a dither amplitude; outputting an operating bias voltage and a dither signal with the dither amplitude; acquiring a second optical signal; converting the second optical signal into a second electrical signal; outputting a harmonic component; calculating a harmonic amplitude and a shift phase; calculating a new bias voltage; and using the new bias voltage as the operating bias voltage.