Abstract: The present disclosure discloses a method and an apparatus for determining a leveling fault of an elevator. The method includes: acquiring a leveling signal and a target floor signal of an elevator, and determining whether the elevator is at a target floor according to the target floor signal; when yes, calculating a normal change sequence of signals of a leveling sensor of the elevator from a starting floor to the target floor; acquiring a real-time change sequence of the signals of the leveling sensor from the starting floor to the target floor; comparing whether the normal change sequence is the same as the real-time change sequence; and when the normal change sequence is the same as the real-time change sequence, determining that the elevator is normally leveled, and when the normal change sequence is different from the real-time change sequence, determining that the elevator has a leveling fault.

Abstract: A reverse blocking gallium nitride (GaN) high electron mobility transistor includes, sequentially stacked from bottom to top, a substrate, a nucleation layer, a buffer layer, a barrier layer, a dielectric layer. The buffer layer and the barrier layer form a heterojunction structure. The barrier layer is provided with at least two p-GaN structures. The barrier layer is provided with a source metal at one end and a drain metal at the other end, source metal forms ohmic contact and drain metal forms Schottky contact with AlGaN barrier, respectively. In forward conduction, the two-dimensional electron gas below the spaced p-GaN structure connected to the drain metal is conductive, and a turn-on voltage of the device is low. During reverse blocking, the two-dimensional electron gas at the spaced p-GaN structure is rapidly depleted under reverse bias, to form a depletion region, so that the blocking capability of the device is improved.

Abstract: A machine learning-based method for designing a high-strength high-toughness steel, including: (S1) obtaining data and filling in missing parts to form a data set; (S2) selecting feature data in the data set to form a standard data set; (S3) constructing two machine learning models of the high-strength high-toughness steel; (S4) completing training after the two models are evaluated to be qualified; (S5) finding frontier points, drawing a Pareto front, and distinguishing a known region and a feature space; (S6) in the feature space, setting a step for the feature data, drawing a grid space, and performing multiple training predictions on each grid point by using the models, to obtain predicted Gaussian distributions of two objectives; and (S7) searching for an expected improvement point through an efficient global optimization algorithm, and obtaining design parameter values of corresponding features.

Abstract: The present invention discloses a method and an apparatus for monitoring an elevator door-opening operation fault. The method includes: acquiring elevator control signals from a serial interface between an elevator controller and a control box by using a preset data acquisition device, wherein the elevator control signals include an elevator operation signal, an elevator door control signal, an elevator internal call signal and an elevator floor signal; monitoring whether there is an elevator door fault in the elevator based on the elevator operation signal, the elevator door control signal and the elevator floor signal; when there is the elevator door fault in the elevator and the elevator internal call signal is in a preset level state, determining that there is the elevator door-opening operation fault in the elevator. The present invention is lower in use cost and may be easily popularized and applied.

Abstract: A bio-enzyme sensor capable of super-hydrophobic solid-liquid-gas three-phase coexistence and a method for preparing the same. The bio-enzyme sensor comprises, from bottom to top, a base material with super-hydrophobic surface, a catalytic material having the function of catalyzing hydrogen peroxide, and bio-enzyme capable of reacting with a substance to be tested to generate hydrogen peroxide. A sufficient amount of oxygen can be provided for enzymatic reaction by forming a state of solid-liquid-gas three-phase coexistence on the surface of the super-hydrophobic material.

Abstract: The present disclosure provides a lift running speed measurement method and system. Record a qth start time of a lift when the lift starts on a start floor, and record a qth stop time and a qth floor number when the lift stops running on a qth destination floor. Compute a qth time difference between the qth stop time and the qth start time. If the q is less than the statistic times Q, record q=q+1 and return to carry out the step of starting the lift on the start floor; if the q is greater than or equal to the statistic times Q, respectively compute a difference between a time difference of each value from 2nd to Qth and a 1st time difference, and a difference between a floor number of each value from 2nd to Qth and a 1st floor number.

Abstract: A bio-enzyme sensor capable of super-hydrophobic solid-liquid-gas three-phase coexistence and a method for preparing the same. The bio-enzyme sensor comprises, from bottom to top, a base material with super-hydrophobic surface, a catalytic material having the function of catalyzing hydrogen peroxide, and bio-enzyme capable of reacting with a substance to be tested to generate hydrogen peroxide. A sufficient amount of oxygen can be provided for enzymatic reaction by forming a state of solid-liquid-gas three-phase coexistence on the surface of the super-hydrophobic material.