Abstract: A power distribution subrack and power distribution equipment, and is related to the field of circuit technologies. The power distribution subrack includes a subrack body and a collection board, the collection board is disposed inside the subrack body, and the collection board includes a plurality of connection terminals and a plurality of controllers. Second ends of at least two of the plurality of connection terminals are connected to a same controller. First ends of at least some of the plurality of connection terminals are plug-connected to jacks of one or more circuit breakers, and the at least some connection terminals are in a one-to-one correspondence with the one or more circuit breakers. Each of the at least some connection terminals obtains a status signal of a corresponding circuit breaker, and transmits the status signal to a corresponding controller.

Abstract: The present disclosure provides a method for planning a distribution network with reliability constraints based on a feeder corridor, including determining installation states of respective elements in the distribution network; determining an objective function, the objective function being an objective function of minimizing a total investment cost of the distribution network; obtaining fault-isolation-and-load-transfer time and fault recovery time in a case where the feeder segment of each feeder line that is contained in each feeder corridor fails; determining constraint conditions including reliability constraints; building a distribution network planning model according to the objective function and the constraints; and solving the distribution network planning model built to obtain optimal solutions as planning states and reliability indexes to plan the distribution network.

Abstract: An apparatus and a method for executing a customized production line using an artificial intelligence development platform, a computing device and a computer readable storage medium are provided. The apparatus includes: a production line executor configured to generate a native form of the artificial intelligence development platform based on a file set, the native form to be sent to a client accessing the artificial intelligence development platform so as to present a native interactive page of the artificial intelligence development platform; and a standardized platform interface configured to provide an interaction channel between the production line executor and the artificial intelligence development platform. The production line executor is further configured to generate an intermediate result by executing processing logic defined in the file set and to process the intermediate result by interacting with the artificial intelligence development platform via the standardized platform interface.

Abstract: A device and method for monitoring freezing-thawing damage of an underwater concrete member in situ. A main structure includes an upper link, concrete member, transverse sealed box, longitudinal sealed box, movable guide rod, probe launching box, multichannel data collector, frequency modulation transmitter, computer, auxiliary wheels, lower link, and a wireless temperature sensor. A process includes four steps: launching of a probe, collection of data, calculation of an elastic modulus, and evaluation of freezing-thawing damage.

Abstract: A train having a protection device with self-adaptive crashworthiness is disclosed, which relates to the technical field of safety protection of trains. The train includes multiple vehicles, a head vehicle is located at the head end of the train, and a head vehicle energy absorbing coupler mechanism is mounted at the front end of the head vehicle, each two adjacent vehicles are connected to each other by a middle vehicle energy absorbing coupler mechanism. An image acquisition mechanism and a radar detector are mounted at the head vehicle for monitoring whether there is an obstacle ahead the train, measuring distance and collision speed between the train and the obstacle, and for transmitting measured data to a processing center of the train, the processing center optimizes and adjusts impact force at the head vehicle energy absorbing coupler mechanism and the middle vehicle energy absorbing coupler mechanisms based on a collision situation.

Abstract: A method for analyzing cell epigenomics from multiple dimensions. The method comprises the following steps: by using ChiTag transposase and conventional Tn5 transposase in cells, respectively embedding different linker sequences, and achieving common analysis of information of a chromatin open region and information of a specific protein binding sequence on a cellular level. The method has important application prospects in aspects such as study of development and/or disease related cell population heterogeneity, drawing of a cell map, analysis of tumor cells having different clinical characteristics, and clinical study of evolution and/or metastasis of tumor cells.

Abstract: A method for measuring disaster resilience of urban public services includes the following steps: constructing a residence-service-transportation space network under normal conditions; removing, through disaster simulation, failed road segments and function nodes to construct a damaged residence-service-transportation space network; calculating a per capita accessible public service of each residential node to represent network performance; calculating a change rate of the per capita accessible public service level before and after the disaster; and drawing a relation curve between the change rate and the disaster intensity to measure the disaster resilience of the urban public services.

Abstract: A multi-water-channel hot stamping die includes an upper die base and insert, a lower die base insert. The upper and lower die bases are provided with a water channel, which is provided with die cavities, in which water through openings are arranged and in communication. A caliber of water through openings is smaller than die cavities, introducing turbulence into the cooling medium in the water channels and the die cavities thus improving cooling efficiency. Die cavities are arranged in the main water channel in a non-single straight line, water retaining blocks are placed at water through openings of the die cavities. A plurality of cooling zones is formed A plurality of inserts is correspondingly arranged in cooling zones, so that the of inserts are cooled simultaneously. Targeted control over cooling water flow of the main water channel is effected by supplying certain inserts with water.

Abstract: A method for diagnosing transformer fault based on a deep coupled dense convolutional neural network, includes: obtaining datasets of dissolved gas in oil of a transformer in normal and fault states; expanding the datasets by using an adaptive synthetic oversampling method; performing, in a form of a two-dimensional matrix, feature reconstruction on characteristic gas dissolved in the oil; building a transformer fault diagnosis model based on a deep coupled dense convolutional neural network; and dividing an expanded dataset into a training set and a test set, and taking the two-dimensional matrix as an input of the deep coupled dense convolutional neural network and a set label as an output to train the network to obtain a fault diagnosis model. The present disclosure can resolve a problem that a fault diagnosis accuracy rate of the transformer is low due to insufficient and unbalanced fault samples in the dissolved gas in the oil.

Abstract: A method for preparing dihydromyricetin nanocrystals includes: uniformly dispersing dihydromyricetin in a good solvent to obtain a dihydromyricetin solution; uniformly dispersing a precipitator and a stabilizer in water to obtain a mixed solution, and then adding the dihydromyricetin solution into the mixed solution and mixing uniformly under a stirring condition to obtain a dihydromyricetin nanocrystal solution; and drying the dihydromyricetin nanocrystal solution to obtain the dihydromyricetin nanocrystals. The method for preparing the dihydromyricetin nanocrystals by an anti-solvent method is simple and easy to implement, low in cost, good in nanocrystal stability, small in organic solvent consumption, and safe and environment-friendly in preparation process.

Abstract: A method for preparing dihydromyricetin nanocrystals includes: uniformly dispersing dihydromyricetin in a good solvent to obtain a dihydromyricetin solution; uniformly dispersing a precipitator and a stabilizer in water to obtain a mixed solution, and then adding the dihydromyricetin solution into the mixed solution and mixing uniformly under a stirring condition to obtain a dihydromyricetin nanocrystal solution; and drying the dihydromyricetin nanocrystal solution to obtain the dihydromyricetin nanocrystals. The method for preparing the dihydromyricetin nanocrystals by an anti-solvent method is simple and easy to implement, low in cost, good in nanocrystal stability, small in organic solvent consumption, and safe and environment-friendly in preparation process.

Abstract: Implementations are described herein for automatically labeling synthetic plant parts in synthetic training images, where the synthetic training images and corresponding labels can be used as training data for training machine learning models to detect, segment, and/or classify various parts of plants in digital images. In various implementations, a digital image may be obtained that captures an area. The synthetic training image may be generated to depict one or more three-dimensional synthetic plants in the area. In many implementations, a plant mask, identifying individual plants as a whole in the synthetic training image, as well as a part mask, uniquely identifying one or more parts of the synthetic plant models, can be overlaid on the synthetic training image to label the one or more parts of the synthetic plant models.

Abstract: The disclosure provides a method for planning a power distribution network, an apparatus for planning a power distribution network, and a storage medium. The method includes: establishing a model for planning the power distribution network, the model including a target function and constraints, the target function for minimizing a cost of the power distribution network when branches and nodes are installed into the power distribution network, the nodes including transformers and substations, the constraints including a power balance constraint of the power distribution network, a power constraint of the branches, a power constraint of the transformers, a radial operation constraint of the power distribution network, a fault constraint, a calculation constraint of indices of a reliability, a constraint of the indices of the reliability, and a logic constraint; and solving the model to determine whether the branches and the nodes are installed into the power distribution network.

Abstract: Implementations are described herein for realistic plant growth modeling and various applications thereof. In various implementations, a plurality of two-dimensional (2D) digital images that capture, over time, one or more of a particular type of plant based on one or more machine learning models to generate output, may be processed. The output may be analyzed to extract temporal features that capture change over time to one or more structural features of the particular type of plant. Based on the captured temporal features, a first parameter subspace of whole plant parameters may be learned, wherein the whole plant parameters are usable to generate a three-dimensional (3D) growth model that realistically simulates growth of the particular type of plant over time. Based on the first parameter subspace, one or more 3D growth models that simulate growth of the particular type of plant may be non-deterministically generated and used for various purposes.

Abstract: A planning method for a power distribution automation system based on a reliability constraint is provided. The method includes: defining installation states of components and principles of a fault isolation, a load transfer and a fault recovery after a branch fault occurs; establishing a reliability evaluation optimization model for a power distribution network based on a mixed integer linear programming, the reliability evaluation optimization model comprising a target function and constraint conditions; solving the reliability evaluation optimization model to obtain an optimum planning scheme; and planning the power distribution automation system based on the optimum planning scheme.

Abstract: The present disclosure provides a method for optimizing transformation of automation equipment in a power distribution network based on reliability, including determining installation states of respective components in the power distribution network and operation criterions for fault isolation, load transfer and fault recovery after a fault occurred in a feeder segment; determining a target function which is a target function for minimizing a total transformation cost of the power distribution network; determining constraint conditions including reliability constraints; establishing an optimization model for evaluating the reliability of the power distribution network based on the reliability constraints in accordance with the target function and the constraints; and solving the established optimization model for evaluating the reliability of the power distribution network based on the reliability constraints to obtain optimal solutions as optimization results of the automation transformation state of the cir

Abstract: The disclosure provides power distribution network reliability index calculation method based on mixed integer linear programming. The method includes: establishing a model for optimizing reliability indexes of a power distribution network based on a mixed integer linear programming model, wherein the model comprises an objective function and constraint conditions, the objective function is for minimizing a system average interruption duration index (SAIDI); solving the model based on the objective function and the constraint conditions to obtain reliability indexes of the power distribution network; and controlling operation of the power distribution network based on the reliability indexes.

Abstract: The present disclosure provides a method for planning a distribution network with reliability constraints based on a feeder corridor, including determining installation states of respective elements in the distribution network; determining an objective function, the objective function being an objective function of minimizing a total investment cost of the distribution network; obtaining fault-isolation-and-load-transfer time and fault recovery time in a case where the feeder segment of each feeder line that is contained in each feeder corridor fails; determining constraint conditions including reliability constraints; building a distribution network planning model according to the objective function and the constraints; and solving the distribution network planning model built to obtain optimal solutions as planning states and reliability indexes to plan the distribution network.

Abstract: The disclosure provides a method for planning a power distribution network, an apparatus for planning a power distribution network, and a storage medium. The method includes: establishing a model for planning the power distribution network, the model including a target function and constraints, the target function for minimizing a cost of the power distribution network when branches, and nodes are installed into the power distribution network, the nodes including transformers and substations, the constraints including a power balance constraint of the power distribution network, a power constraint of the branches, a power constraint of the transformers, a radial operation constraint of the power distribution network, a fault constraint, a calculation constraint of indices of a reliability, a constraint of the indices of the reliability, and a logic constraint; and solving the model to determine whether the branches and the nodes are installed into the power distribution network.

Abstract: The present disclosure relates to a method for primary frequency regulation of an electric network based on large building air conditioning loads cluster. The method includes the use of a two layer control structure with a central coordinating layer and a local control layer. Each local controller performs a thermal model parameter identification and a local air conditioning autonomous control, and uploads local information to the central controller at the end of each communication interval tgap, the central controller broadcasts coordinating information to each local controller. Based on the coordinating information sent from the central controller, each local controller determines whether a power deviation is beyond an action dead zone at the beginning of each action period tact, if beyond, then perform a frequency regulation control action, else, perform no action and estimate operation states of all the air conditionings at the beginning of the next action period.