Abstract: The present invention provides a method, system and storage medium for load dispatch optimization for residential microgrid. The method includes collecting environmental data and time data of residential microgrid in preset future time period; obtaining power load data of residential microgrid in future time period by inputting environmental data and time data into pre-trained load forecasting model; obtaining photovoltaic output power data of residential microgrid in future time period by inputting environmental data and time data into pre-trained photovoltaic output power forecasting model; determining objective function and corresponding constraint condition of residential microgrid in future time period, where optimization objective of objective function is to minimize total cost of residential microgrid; obtaining load dispatch scheme of residential microgrid in future time period by solving objective function with particle swarm algorithm.

Abstract: The preparation method of a starch-based double-loaded functional nanoparticle includes: performing restrictive hydrolysis treatment on egg high-density lipoprotein using proteases to obtain the polypeptide; performing self-assembling on a mixed system containing the polypeptide and quercetin under the alkaline condition to form a micelle nanoparticle; performing covalent grafting reaction on a mixed system containing the micelle nanoparticle and anthocyanin under the alkaline condition to form a graft; and electrostatically compounding carboxymethyl dextrin with the graft to obtain the starch-based double-loaded functional nanoparticle. In the preparation method, raw materials derived from natural sources are used, and the self-assembled colloid nanoparticle with good properties can be obtained by adjusting the pH without any organic reagents.

Abstract: A system and method for regulating and absorbing TFT-LCD organic solvent waste liquid in countercurrent are provided. In the system, each of longitudinal offset pipes of absorbing pipes is disposed between a lower filter plate and an upper filter plate, bottom positions of the longitudinal offset pipes are connected with a sinking-recovery pipe, each longitudinal offset pipe is provided with a photoelectric detector, an activated carbon supply pipe is provided with an activated carbon supply device, the sinking-recovery pipe is connected with a solid-liquid separator, and a wet activated carbon conduction mechanism is provided with a heating-separating device. Activated carbon particles in the absorbing pipe with a certain saturation amount are led out in a non-disassembly-replacement method, the saturated activated carbon is subjected to solid-liquid separating and heating degassing, thus the saturated organic solvent is separated and recovered and the activated carbon particles are recycled.

Abstract: A self-shielded flux-cored welding wire with a special protective slag coating formed in situ and a manufacture method thereof. The self-shielded flux-cored welding wire includes a low-carbon steel belt and a flux core powder, the flux core powder is filled in the low-carbon steel belt, the flux core powder includes the following ingredients in percentage by mass: 60-80% glass powder, 2-8% zirconium oxide powder, 0.05-0.85% graphene powder, 2-8% potassium carbonate sodium powder, 1-3% potassium titanate powder, 2-5% rutile powder, 1-5% corundum powder, 1-3% sodium fluorosilicate powder, and the balance of iron powder, and a weight of the flux core powder accounts for 13-25% of a total weight of the welding wire.

Abstract: A method of deploying a neural network on a target device method includes extracting a number of device dependent error masks from the target device, using the number of device dependent error masks in a training phase of the neural network to generate a device dependent weight matrix for the neural network, and storing the device dependent weight matrix in the target device for use by the target device to perform inference tasks using the neural network.

Abstract: The present invention provides a method for robot action imitation learning in a three-dimensional space and a system thereof, relates to the technical fields of artificial intelligence and robots. A method based on a series-parallel multi-layer backpropagation (BP) neural network is designed for robot action imitation learning in a three-dimensional space, which applies an imitation learning mechanism to a robot learning system, under the framework of the imitation learning mechanism, to train and learn by transmitting demonstrative information generated from a mechanical arm to the series-parallel multi-layer BP neural network representing a motion strategy.

Abstract: A press machine is provided. Two vertical hydraulic cylinders are arranged on an upper beam plate of a press machine body, and the two hydraulic cylinders correspond to workbenches at corresponding positions in a one-to-one correspondence, constituting left and right working units, and a common mechanical drive unit and a common hydraulic drive unit are set for the left and right working units. The mechanical driving unit is composed of a driving motor through an electromagnetic clutch, an electromagnetic brake and lead screw nut driving mechanism driven by a gear pair. According to the load profiles during the working process of hydraulic press machine, the mechanical driving unit or the hydraulic driving unit are selected to provide energy for the two working units. A control method for the press machine, a press machine execution system and a control method for the press machine execution system are further involved.

Abstract: A NC machine for stretch bending and monitoring method for clamping force of round clamp thereof is invented, which includes a round head clamp, a hydraulic system and a clamping force monitoring device. The round head clamp includes a housing, an internal module arranged in the housing and a positioning member for positioning the internal module in the housing. The hydraulic system includes a hydraulic rod and a hydraulic ram for pushing the hydraulic rod. The clamping force monitoring device includes a sensor and a data processing module. The present invention is suitable for the workpiece of different shapes and sizes. In this invention, the clamping force can be adjusted in real time when it needs to be changed, and this not only can avoid the problems of excessive energy consumption, excessive clamping marks and damage of the workpiece, but also save energy and protect the workpiece.

Abstract: A dual-mode combined control method for a multi-inverter system based on a double split transformer is provided. For an extremely-weak grid, the method provides the dual-mode combined control method for a multi-inverter system based on a double split transformer. According to the method, the equivalent grid impedance at a point of common coupling (PCC) of one grid-connected inverter (GCI) in the multi-inverter system based on the double split transformer is obtained with a grid impedance identification algorithm, and the system sequentially operates in a full current source mode, a hybrid mode, and a full voltage source mode according to a gradually increasing equivalent grid impedance, thereby effectively improving the stability of the multi-inverter system based on the double split transformer during variation of the strength of the grid. The method ensures that the system can still operate stably in the extremely-weak grid.

Abstract: A method for diagnosing analog circuit fault based on vector-valued regularized kernel function approximation, includes steps of: step (1) acquiring a fault response voltage signal of an analog circuit; step (2) carrying out wavelet packet transform on the collected signal, and calculating a wavelet packet coefficient energy value as a characteristic parameter; step (3) utilizing a quantum particle swarm optimization algorithm to optimize a regularization parameter and kernel parameter of vector-valued regularized kernel function approximation, and training a fault diagnosis model; and step (4) utilizing the trained diagnosis model to recognize circuit faults.

Abstract: A method for monitoring an online state of a bonding wire of an Insulated Gate Bipolar Translator (IGBT) module comprises the following steps: Step 1, constructing a full bridge inverter circuit and an online measuring circuit and connecting two input ends of the online measuring circuit to a collecting electrode and an emitting electrode of an IGBT power module of the full bridge inverter circuit to realize a connection of the full bridge inverter circuit and the online measuring circuit; Step 2, establishing a three-dimensional data model of a healthy IGBT; Step 3, establishing a three-dimensional data model of the IGBT with a broken bonding wire; Step 4, optimizing a least squares support vector machine by adopting a genetic algorithm; and Step 5, estimating states of the three-dimensional data models obtained in the Step 2 and the Step 3 by utilizing the optimized least squares support vector machine.

Abstract: A connector includes a male connector, a female connector and a rotating clamping structure. The male connector includes a first housing with multiple channels, the female connector includes a second housing with at least one positioning slot. The rotating clamping structure includes a third housing, multiple first positioning pins, multiple stoppers and multiple second positioning pins. The rotating clamping structure can realize the locking or separation of the male connector and the female connector.

Abstract: A robot for straightening double thin-wall section pipe with undesirably shaped cavities, includes two racks, a positioning component, a shaping component and a driving component. In operation, the double thin-wall section pipe is put in the positioning component, and the shaping component is used for shaping the pipe by the driving of the driving component. The robot improves the working efficiency, and is not only compact in structure design, stable in movement, precise in positioning and reliable in locking, but also convenient for disassembly and maintenance.

Abstract: A stability control method for a virtual synchronous generator (VSG) in a strong grid based on an inductance-current differential feedback is provided. A grid-connected topological structure of a VSG using the control method includes a direct-current (DC)-side voltage source, a three-phase inverter, a three-phase grid impedance and a three-phase grid. By controlling the VSG and controlling the inductance-current differential feedback, the method suppresses the oscillation of the output power from the VSG in the strong grid and implements the stable operation of an inner-loop-free VSG in the strong grid, without adding the physical inductance, increasing the cost of the filter and additionally providing a grid-side current sensor.

Abstract: A resin bath device for wet winding provided herein includes a resin stirring bath and a resin impregnation bath, where a bottom of a side wall of the resin stirring bath is connected to the resin impregnation bath, two ingredient baths are provided at two ends of the resin stirring bath, and a stirring mechanism is arranged inside the resin stirring bath. A resin dipping roller is mounted at a middle of the resin impregnation bath where a pressure roller is mounted at tops of side walls; an electric heating coil is arranged inside a bottom wall of the resin impregnation bath, and an electric heating rod is arranged at an axis of the pressure roller; and wire guide rollers are mounted at two ends of the side wall of the resin impregnation bath.

Abstract: A device for supplying ammonia with solid adblue includes a urea tank, a gasholder, a heating apparatus, a mixing mechanism, a one-way valve, a first temperature sensor, a second temperature sensor, a first baroceptor, a controller. The mixing mechanism includes a first pipe, second pipe a third pipe, and media. The device is easy to has the same temperature everywhere, and then the heat distribution of the urea tank can be evenly. Thus the effectiveness about the heating apparatus is elevated.

Abstract: A tetracarbonyl cyclobutene dihydrate compound, having a chemical formula (I). A method of synthesizing the tetracarbonyl cyclobutene dihydrate compound, includes: a synthesis step, a separation step, and a purification step. The synthesis step includes: collecting and dissolving 0.5728 g of squaric acid, 2.7948 g of ammonium formate, and 0.0480 g of the palladium complex in 100 mL of anhydrous methanol, heating and stirring a resulting mixture to reflux for 48 hrs, and stopping the reaction. The separation step includes: performing column chromatography analysis on reaction products according to a volume ratio of dichloromethane to anhydrous methanol of 8:2, to obtain a target product. A method of using the tetracarbonyl cyclobutene dihydrate compound, includes: using tetracarbonyl cyclobutene dihydrate compound as a catalyst in addition reaction between ethyl pyruvate and nitromethane, where a conversion rate of ethyl pyruvate reaches 96.1%.

Abstract: A method for diagnosing analog circuit fault based on cross wavelet features includes steps of: inputting an excitation signal to an analog circuit under test, and collecting time domain response output signals to form an original data sample set; dividing the original data sample set into a training sample set and a test sample set; performing cross wavelet decomposition on both sets; applying bidirectional two-dimensional linear discriminant analysis to process the wavelet cross spectra of the training sample set and the test sample set, and extracting fault feature vectors of the training sample set and the test sample set; submitting the fault feature vectors of the training sample set to a support vector machine for training an SVM classifier, constructing a support vector machine fault diagnosis model; and inputting the fault feature vectors of the test sample set into the model to perform fault classification.

Abstract: The disclosure provides a method, a system and a storage medium for predicting power load probability density based on deep learning. The method comprises: S101, collecting power load data of a user, meteorological data and air quality data in a preset historical time period, and dividing the collected data into a training set and a test set; S102, determining a deep learning model for predicting power load; S103, inputting the test set into the deep learning model for predicting power load, and obtaining power load prediction data of the user at different quantile points in a third time interval; S104, performing kernel density estimation and obtaining a probability density curve of the power load of the user in the third time interval.

Abstract: An intelligent decision-making device and method for UAV formation information interaction topologies in communication interference, comprising: acquiring a three-dimensional UAV formation without communication interference, an initial communication network D1 and an initial information interaction topology T1; acquiring communication links A0 interrupted by UAV formation with communication interference; acquiring interrupted communication links A1 in T1 based on A0 and T1; determining whether A0 affects T1; if not, T1 being the final information interaction topology; if yes, acquiring substitute reverse arcs of A1 and substituting A1 with them to obtain an information interaction topology T2; determining whether T2 is a three-dimensional persistent graph; if yes, T2 being the final information interaction topology; if not, acquiring an undirected graph R1 corresponding to T2; acquiring spare edges based on R1; and adding an arc corresponding to a spare edge in T2 based on the spare edges to obtain a final in