Abstract: A method and device for determining a safety risk of an elevator system, and a non-transitory computer-readable storage medium storing a computer program for implementing the method. A method for determining a safety risk of an elevator system includes determining the safety risk by generating a feature vector based at least on operational state data of the elevator system, and subsequently determining a probability of a transport object being trapped in a car of the elevator system using a neural network model. The feature vector and the probability are an input variable and an output variable of the neural network model, respectively, and the feature vector includes components corresponding to combinations selected from a plurality of state values of a first category of features. Further, the state values of the first category of features are determined based on the operational state data.

Abstract: The present application provides a preparation method for a three-dimensional gelatin scaffold with interconnected pores and an application thereof. The preparation method includes the steps of: dissolving a pharmaceutical gelatin to obtain a gelatin solution; emulsifying the gelatin solution using an ultrasonic crusher to obtain a gelatin emulsion; pouring the gelatin emulsion into a preset mold, and freezing and curing the gelatin emulsion to obtain a cured product; performing vacuum drying of the cured product using a low-temperature freeze dryer to obtain a dried product; cross-linking and denaturing the dried product with glutaraldehyde to obtain a cross-linked product; and washing the cross-linked product several times, followed by freeze-drying to obtain a three-dimensional gelatin scaffold with interconnected pores.