Abstract: A novel high-precision rigid-flexible coupling rotating platform includes a foundation, a rigid bearing, a bearing sleeve, a core rotating platform, a rotating driver and a coder; the bearing sleeve is fixed on the foundation; the rigid bearing is in rotatable drive connection with the core rotating platform, and connected with the foundation through the bearing sleeve; an upper surface of the core rotating platform is provided with a plurality of groups of flexible hinges; when the rotating driver applies a driving force to rotate the core rotating platform, the driving force elastically deforms the flexible hinge rings. The flexible hinges are used and disposed on the upper surface of the core rotating platform; without disassembling the whole rotating platform, a corresponding group of flexible hinges can be changed but an assembling relationship between other groups of flexible hinges cannot be broken.

Abstract: A nickel-based MOF film photocatalyst grown in-situ on a foamed nickel surface, a preparation method therefor, and an application thereof. The nickel-based MOF film photocatalyst grown in-situ on a foamed nickel surface is prepared by first immersing foamed nickel in a diluted acid and performing ultrasonic processing, then cleaning the foamed nickel with deionized water, and drying the foamed nickel to obtain surface-activated foamed nickel; immersing the surface-activated nickel foam in a mixture of an imidazole compound, sodium formate, and a solvent and reacting at 100° C. to 180° C. to obtain an unactivated nickel-based MOFs film on the surface of the foamed nickel, and after cooling to room temperature, removing same and soaking in an organic solvent to activate, and then drying the obtained product.

Abstract: The invention discloses a method and a device for constructing a SQL statement based on reinforcement learning, wherein the method includes: initializing an actor-critic network parameter; acquiring a sequence pair of natural language and real SQL statement from a data set; inputting a natural language sequence into an actor network encoder, and inputting a real SQL sequence into a critic network encoder; using an encoded hidden state as an initialized hidden state of a corresponding decoder; gradually predicting, by an actor network decoder, a SQL statement action, and inputting the SQL statement action to a critic network decoder and an environment to obtain a corresponding reward; and using a gradient descent algorithm to update the network parameters, and obtaining a constructing model of the natural language to the SQL statement after repeated iteration training.

Abstract: A method and system for optimal control of ultra-precision cutting. The method for optimal control is based on time-precipitates-temperature characteristics of Al—Mg—Si series aluminum alloy, and includes first determining types of precipitates of machined materials, and establishing a Lifshitz-Slyozov-Wagner (LSW) model of each precipitate. A temperature range is determined corresponding to each precipitate according to the LSW model to obtain a comprehensive temperature range. A relation model is established between cutting parameters and a cutting temperature according to the LSW model. Finally the cutting parameters are optimized according to the comprehensive temperature range and the relation model, so that the cutting temperature is beyond the comprehensive temperature range to inhibit the generation of the precipitates.

Abstract: The present invention discloses a strain of Pseudomonas aeruginosa with monomethylamine degradability and the application thereof. This strain, named Pseudomonas aeruginosa GDUTAN1, was deposited on May 24, 2017 in the China Center for Type Culture Collection in Wuhan University, Wuhan City, Hubei Province with a deposit number of CCTCC NO.: M 2017283. This Pseudomonas aeruginosa GDUTAN1 was Gram-negative and rod-like, and round, green and opaque in the colony morphology, having a diameter of 1-2 mm. The Pseudomonas aeruginosa GDUTAN1 of the present invention can be applied to environmental remediation, degrading monomethylamine in the environment at a high degradation efficiency. When it degrades monomethylamine for 96 h at a substrate concentration of 50-140 mg/L, the degradation efficiency can reach more than 99%.

Abstract: A method for synchronizing virtual and real statuses of a digital twin system of an unmanned aerial vehicle (UAV) includes: performing parameter configuration for a virtual object system and a physical object system of the UAV; performing time synchronization between the virtual object system and the physical object system; detecting an event trigger type, wherein the event trigger type is a training event or a monitoring event; and triggering a corresponding synchronization controller based on the detected event trigger type, such that the synchronization controller performs result synchronization and process synchronization for the virtual object system and the physical object system based on the event trigger type, where a synchronization controller corresponding to the training event is a controller for synchronizing a physical object to a virtual object, and a synchronization controller corresponding to the monitoring event is a controller for synchronizing the virtual object to the physical object.

Abstract: The present disclosure relates to the technical field of mechanical precision manufacturing, in particular to a motor tracking error reduction method and an implementation device based on a micro-drive unit. A motor tracking error reduction method based on micro-drive unit includes: providing a motor mover as the working output end, and feeding back the position information of the motor mover to the micro-drive controller in real time by the sensor; controlling the micro-drive unit to compensate the displacement of the motor mover by the micro-drive controller; correcting the tracking error of the motor mover after the displacement compensation, and feeding back the tracking error information after correction to the motor controller. The error reduction method and implementation device in the present disclosure reduce the motor tracking error and solve the problem of coupling interference. In addition, the single position feedback is used to reduce the production cost.

Abstract: Disclosed is a low-power negative voltage generator for RF switches, which is provided with a monostable trigger and a voltage-controlled oscillator before a non-overlapping clock circuit and a charge pump. The monostable trigger can change from a stable state to a transient state when a switch channel selection signal jumps; the clock frequency of the voltage controlled oscillator will be increased during the transient state of the monostable trigger, and after the monostable trigger returns to a stable state, its clock frequency will be reduced to the initial state, thereby ensuring that the circuit power consumption is reduced while the transient characteristic is high.

Abstract: A comprehensive utilization system for high-temperature gasification and low-nitrogen combustion of biomass comprises a gasifier, a boiler and a burner installed on the boiler. The outlet of the gasifier is connected to a fuel inlet of the burner. The boiler is provided with flue-gas exhaust ports connected to a chimney. Regenerative heat exchangers are provided between the flue-gas exhaust ports and the chimney, preheating air pipes are connected to the regenerative heat exchangers and then to an auxiliary mixing chamber. The auxiliary mixing chamber is provided with a first outlet connected to the inlet of the mixer, and a second outlet connected to the high-temperature air inlet of the gasifier and the second combustion-air inlet of the burner. An outlet of the mixer is connected with the first combustion-air inlet of the burner. The chimney is connected with the flue gas inlet of the gasifier through pipes and fans.

Abstract: Disclosed is an indoor SLAM method based on three-dimension (3D) lidar and ultra-wide band (UWB). Firstly, a UWB positioning system is deployed in an indoor area, then a robot carrying 3D lidar sensors explores the indoor area, and finally, a SLAM algorithm integrating lidar data and UWB data is used to generate a map of the explored area. The method specifically includes the following steps: determining a relative pose transformation between the 3D laser SLAM coordinate system and the UWB positioning coordinate system; using UWB data to provide initial value for inter-frame matching of laser odometer; using UWB data to add constraints to SLAM back-end pose graph; and performing loop detection based on curvature feature coding. This application breaks through the limitation of lighting conditions of indoor areas, eliminates the accumulated errors of SLAM, and constructs a high-quality indoor map.

Abstract: The invention discloses an opposed-injection aluminum melting furnace uniform combustion system which comprises: a furnace body, a first heat storage unit, a second heat storage unit, and four fuel injection guns disposed diagonally on two end walls of the furnace body comprising a first fuel injection gun located on the first end wall of the furnace body adjacent to the second heat storage unit, a second fuel injection gun located on the second end wall of the furnace body adjacent to the first heat storage unit, a third fuel injection gun on the second end wall of the furnace body adjacent to the second heat storage unit, and a fourth fuel injection gun located on the first end wall of the furnace body adjacent to the first heat storage unit, the gas injection direction of the first fuel injection gun is parallel with that of the second fuel injection gun with a spacing H between the axes thereof, the gas injection direction of the third fuel injection gun is parallel with that of the fourth fuel injection

Abstract: The present disclosure discloses an N×M terahertz detector array imaging system based on a Schottky contact rasterization structure. The rasterization is introduced into the Schottky barrier diode, so that the rasterized Schottky contact resonates with the terahertz waves, the plasma resonance effect is enhanced, and the detection sensitivity of the array unit can be further improved. Moreover, there is no need to use an antenna, which can effectively avoid the problems such as large loss of the on-chip antenna, low gain efficiency, and difficulty in verifying through DRC design rules; and the chip area is greatly reduced, which greatly reduces the production cost. Finally, by adjusting the rasterization structure parameters of the array detector unit during the design process, the detector array can realize monochromatic array imaging or multicolor array imaging, which provides a new solution for the realization of low-cost, high-performance terahertz array cameras and terahertz imagers.

Abstract: The present invention discloses a method for detecting abnormity in an unsupervised industrial system based on deep transfer learning. Labeled machine sensor sequence data from a source domain and unlabeled sensor sequence data from a target domain are used in the present invention to train an industrial system abnormal detection model with good generalization ability, and the industrial system abnormal detection model is trained and tested to finally generate a trained industrial system abnormity discrimination model. Using the model, received machine sensor sequence data can be analyzed and whether a machine is abnormal is discriminated.

Abstract: A character string classification method, a character string classification system, a character string classification device, and a computer readable storage medium are provided. The method includes: acquiring a to-be-classified character string, inputting the to-be-classified character string to a feature extractor to obtain a feature vector of the to-be-classified character string, and inputting the feature vector to a classifier to obtain a classification result of the to-be-classified character string. With the character string classification method, only the features of the character string itself are used in the character string classification process. That is, the to-be-classified character string is directly inputted to the feature extractor to obtain the feature vector, and the classifier classifies the to-be-classified character string based on the feature vector, thereby eliminating requirement for other information associated with the character string.

Abstract: The present application relates to a new terahertz spectrum analyzer, which adopts a detector based on an NMOSFET gate rasterization structure, a detector based on a Schottky contact rasterization structure, a detector based on an HMET gate rasterization structure, and a detector based on a “wave-to-heat conversion structure”, an NMOSFET detector based on a multi-frequency terahertz antenna structure, and an SBD detector based on the multi-frequency terahertz antenna structure as a core component (i.e. sensor) for electromagnetic wave detection, so that the coverage band is wider. In addition, all circuits can be realized by a common integrated circuit process, so that the terahertz spectrum analyzer proposed by the present application has the advantages of small size, low cost, and low power consumption.

Abstract: A nearshore real-time positioning and mapping method for an unmanned surface vehicle with multiple distance measuring sensors comprises: acquiring predicted gesture data of the unmanned surface vehicle by an inertia measurement unit; acquiring radar point cloud data by a laser radar, projecting the radar point cloud data to a depth map, and reserving ground points and break points on the depth map; dividing the depth map into six sub depth maps, obtaining a feature point set via a curvature of each laser point, and converting all the feature point sets of the laser radar into coordinates of the unmanned surface vehicle; obtaining a relative gesture transformation matrix of the current unmanned surface vehicle via the radar cloud point data of two adjacent frames; accruing multiple factors, and optimizing a gesture of the unmanned surface vehicle in form of a factor pattern; and constructing a three-dimensional cloud point pattern.

Abstract: The present disclosure discloses a Beidou signal tracking system with a nonlinear phase-locked loop. A nonlinear element and a low-pass filter are added behind a loop filter to adapt to an output from control of the loop filter, and then to control a phase of an output signal. An in-phase branch pre-filtering link is added before the loop filter to smoothly processing an input signal, and a loop filter of a third-order phase-locked loop assisted by a second-order frequency-locked loop is selected to ensure basic performance index of an algorithm. The in-phase branch pre-filtering link controls signal change of an in-phase branch signal within a reasonable range. The nonlinear element and the low-pass filter behind the loop filter, after proper selection of parameters, can make the phase-locked loop quickly lock within the range where the phase-locked loop could not be locked originally.

Abstract: A control method for converting time-varying system into a time-invariant system, comprises: using (n?1)th to 0th order signals of an nth-order time-varying, system as feedback to set up a closed loop control for the time-varying system; acquiring real-time values of the coefficients in each order of the time-varying system through a sensor, and calculating variations between the real-time values and the initial values of the coefficients in each order through a controller; amplifying and summing the parameters of every order to obtain a measured disturbance; inputting the measured disturbance, a control signal from a controller and an nth-order signal into an extended state observer through to estimate the rest disturbance; summing up the measured and estimated disturbances to obtain total disturbances; and adjusting the above parameters in each order through the controller to convert the time-varying system into the tune-invariant system.

Abstract: Disclosed is a simulation design method for bay layer devices of a smart substation. Application layer modules of two network structures store identity tags of each other's application layer modules respectively, so that a simulation model of the bay layer devices has ports of both network structures and can realize data sharing. The simulation model of the bay layer devices can process SV messages, GOOSE messages and MMS messages simultaneously. An interface layer is additionally configured between an application layer and a data link layer to allow data to be directly mapped to the data link layer from the application layer, so that received or transmitted messages contain actual electrical quantity information. The invention provides model establishment methods of two network structures, thus not only suitable for simulation of the bay layer devices, but also suitable for simulation of station control layer devices and process layer devices.

Abstract: Provided is a BeiDou navigation satellite B1C signal capturing method, including: mixing a digital intermediate frequency signal with a local intermediate frequency carrier signal to obtain a baseband signal; obtaining a local BOC-like signal on a data channel and a local BOC-like signal on a pilot channel; processing the local BOC-like signal on the data channel and the local BOC-like signal on the pilot channel to obtain a cross-correlation result of the data channel and a cross-correlation result of the pilot channel; performing a linear operation on the cross-correlation result of each of the two channels through a pseudo-correlation function generator to eliminate a secondary peak in the cross-correlation result of each of the two channels, and obtain an optimized cross-correlation result of each of the two channels; and capturing a satellite signal based on the optimized cross-correlation result of each of the two channels.