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To provide new context-creation tools in architectural education to give students a full sense of immersion and presence. This paper discusses the integration of artificial intelligence and virtual reality technology in architectural education, and then the integration of artificial intelligence and virtual reality technology proposed architecture education virtual learning environment human-computer interaction system. Through the experimental study, in the application effect satisfaction analysis, the student satisfaction in the virtual reality learning environment in stimulating students’ learning interest is 80%, and 72% of the students agree to learn architectural expertise in the virtual reality learning environment.

Purpose: The purpose of this study is to design a highly integrated smart glove to enable gesture acquisition and force sensory interactions, and to enhance the realism and immersion of virtual reality interaction experiences. Design/methodology/approach: The smart glove is highly integrated with gesture sensing, force-haptic acquisition and virtual force feedback modules. Gesture sensing realizes the interactive display of hand posture. The force-haptic acquisition and virtual force feedback provide immersive force feedback to enhance the sense of presence and immersion of the virtual reality interaction. Findings: The experimental results show that the average error of the finger bending sensor is only 0.176°, the error of the arm sensor is close to 0 and the maximum error of the force sensing is 2.08 g, which is able to accurately sense the hand posture and force-touch information. In the virtual reality interaction experiments, the force feedback has obvious level distinction, which can enhance the sense of presence and immersion during the interaction. Originality/value: This paper innovatively proposes a highly integrated smart glove that cleverly integrates gesture acquisition, force-haptic acquisition and virtual force feedback. The glove enhances the sense of presence and immersion of virtual reality interaction through precise force feedback, which has great potential for application in virtual environment interaction in various fields. [ABSTRACT FROM AUTHOR]

The ethylene dehydrogenation catalyst in a certain styrene unit was caked after long-term use. In order to analyze the caking cause of ethylbenzene dehydrogenation catalyst, solubility experiment, baking experiment and X-ray fluorescence spectrum test were carried out. The experimental results showed that the white solid on the surface of the caking catalyst could be dissolved in the water. After the caking catalyst was roasted at 800 °C for 4 h, the white substance was existed. The small granular particles were not crushed easily and were hard. The X-ray fluorescence spectrometer test showed that the white solid was a potassium-containing substance on the catalyst surface. The block formation of the ethylbenzene dehydrogenation catalyst in this unit is caused by the migration and aggregation of potassium during long-term use of the catalyst. The research provided some technical reference for reducing the caking of ethylbenzene dehydrogenation catalyst in the production. [ABSTRACT FROM AUTHOR]

When traversing soft and rugged terrain, a planetary rover is susceptible to slipping and sinking, which impedes its movement. The real-time detection of wheel sinkage in the planetary wheel-on-limb system is crucial for enhancing motion safety and passability on such terrain. Initially, this study establishes a measurement of wheel sinkage under complex terrain conditions. Subsequently, a monocular vision-based wheel sinkage detection method is presented by combining the wheel–terrain boundary with the wheel center position (WTB-WCP). The method enables the efficient and accurate detection of wheel sinkage through two-stage parallel computation of the wheel–terrain boundary fitting and wheel center localization. Finally, this study establishes an experimental platform based on a monocular camera and the planetary rover wheel-on-limb system to experimentally validate and comparatively analyze the proposed method. The experimental results demonstrate that the method effectively provides information on the wheel sinkage of the planetary rover wheel-on-limb system, and the relative errors of the method do not exceed 4%. The method has high accuracy and reliability and is greatly significant for the safety and passability of planetary rovers in soft and rugged terrain. [ABSTRACT FROM AUTHOR]