Abstract: With the increasing use of elevators in Colleges and universities, safety accidents caused by elevators are frequent. In order to strengthen the safety management of elevators in colleges and universities and ensure the safety of personnel in elevators, taking Xi'an University of Technology as an example, combined with advanced technologies such as Internet of Things, cloud computing, data mining, the elevator of campus takes the following technical measures: the elevator engine room equips with standardized construction, the traction machine equips with emergency power supply, the capsule equips with emergency flasher and with "one button" wireless emergency communication system, and the control cabinet equips with elevator safety remote monitoring system，elevator safety early warning and forecasting platform based on data mining. The paper conducts further data mining by using the elevator operation data obtained by the data acquisition terminal, realizing the transmission from the passive alarm of the trapped personnel to the automatically elevator alarming, and even to the early warning and forecast of elevator accidents. It breaks through the "bottleneck" of the "last kilometer" technology for emergency rescue of University elevators and provides a timely, effective, convenient and reliable communication measure for passengers. Thus these measures can protect the safety of teachers and students when they take the elevator and maintain the campus’s security and stability.Abstract: With the increasing use of elevators in Colleges and universities, safety accidents caused by elevators are frequent. In order to strengthen the safety management of elevators in colleges and universities and ensure the safety of personnel in elevators, taking Xi'an University of Technology as an example, combined with advanced technologies such a...Show More
Abstract: With the rapid development of urbanization in Henan Province, it is of great significance to study the relationship between man and land in regional cities to grasp the quality of urban development and to promote the healthy development of urbanization. In this paper, data envelopment analysis (DEA), Kernel density analysis, gravity center model and Logistic model are used to analyze the evolution and coordination of urban population growth and land expansion in 18 cities of Henan Province from 2000 to 2014, and to predict their overall development trend. The results show that: (1) the urban land expansion rate in Henan Province is faster than the population growth rate on the whole, the spatial distribution of the two increment is mainly in Zhengzhou, Luoyang, Luohe and other core cities, and Anyang, Nanyang, Nanyang, etc. (2) the center of gravity of urban population and the center of gravity of land are both located in the southeast of Zhengzhou City, and the coordination relationship between them presents the situation of "Enhancement, Stability and Enhancement"; The spatial coordination between urban land expansion and population growth is weak, and the land advance development is the main factor. (3) before 2003, the urban population growth and land expansion kept in sync, The forecasting results show that slowing down the expansion of urban land properly and coordinating the relationship between human and land will be the future direction of urbanization in Henan Province.Abstract: With the rapid development of urbanization in Henan Province, it is of great significance to study the relationship between man and land in regional cities to grasp the quality of urban development and to promote the healthy development of urbanization. In this paper, data envelopment analysis (DEA), Kernel density analysis, gravity center model an...Show More
