Embodied interaction is a significant direction within the realm of interaction design. Interaction design does not only enhance efficiency in people’s lives; it focuses on how humans and computer systems interact efficiently and effectively. In embodied interaction, natural interactive behaviors can be employed to enhance experiences. Interaction is now omnipresent; it serves as an intermediary to establish connections and provide reflection, and not just consolidated within products like smartphones and computers. The incorporation of interaction design into physical life, intertwining with human behaviors and spatial environments, poses our contemplation. Thus, under the backdrop of sustainable development goals (SDGs), we adopted the direction of embodied interaction and utilized metaphors to create a tangible installation. We aspire for urban explorers to establish connections with the city in terms of time and space dimensions through interactive experiences, thereby comprehending the multifaceted nature of the city. Throughout the design process, we validated and iterated our designs via prototyping and user testing.

In order to detect and identify fire accidents accurately and efficiently, an intelligent fire identification system based on neural network algorithm is designed, which can overcome the shortcomings of single information, complex wiring, poor adaptability, etc. The characteristic extraction of sensors is adopted in the information layer to solve the problems in multi-sensor fusion. The fire data are transmitted to the main controller through LoRa wireless module and fused by back propagation neural network, which is self-learning and adaptive. The output of neural network and fuzzy inference with other factors are used for decision criteria to improve the identification accuracy. The common combustibles and various interference sources are selected for fire tests. The result shows that the detection accuracy is up to 100% and the false alarm rate is lower than 0.1%, meanwhile, the system has the advantages of fast response and high detection efficiency.