Aiming at the problem that the current elevator monitoring system cannot detect the accidental fall of passengers, this paper proposes a fall detection method based on machine vision and multi-feature fusion. First, moving targets were extracted by ViBe algorithm, and then the human body was marked with an external rectangle. Three characteristic parameters, namely the aspect ratio, effective area ratio and centroid acceleration of the human body, were calculated. At last, thresholds were set and SVM classification training was conducted to judge whether there was a fall event. Experimental results show that the algorithm has high accuracy and good stability. It can effectively reduce the injury caused by the elderly falling down in the elevator.

The function of traditional elevator monitoring system is relatively simple. It cannot realize on-demand maintenance and fault warning. To solve such problems, this paper builds an intelligent monitoring system of elevator Internet of Things based on multi-sensor information fusion, bus communication and probability and statistical analysis technology. Managers can access the control platform through smart terminals or web browsers to achieve data query, video monitoring, alarm management of the elevator system, health management and other functions, which can help managers detect hidden dangers of elevator safety in time and ensure safe and efficient operation of elevators.

Under the trend of large-scale industrial production, the construction of chemical parks is booming. With the hot topic in the field of safety accidents in chemical parks, the public awareness of emergency management has increased remarkably. In response to the current fragmentation dilemma of chemical industry in China, it is necessary to improve the emergency management mechanism. In the paper, four evaluation strategies are proposed on the basis of existing research for the construction of emergency management system in China Chemical Industry Park.

In accordance with the life cycle cost of the vehicle, the structure of the aluminum alloy car body structure of Shanghai Line 16 was optimized based on the Optistruct software. Then the load combination conditions are divided into 9 operating conditions based on EN12663-2010. Furthermore, the optimized car body is judged whether it is qualified. The experimental results show that the optimized car body structure of Shanghai Line 16 can meet EN12663 and TB/T1335. In this paper, it provides a high application prospect for reducing LCC of the aluminum alloy car body in the design stage.

In accordance with the structural performance shortages of the lightweight subway, the verification of the strength and stiffness of subway vehicles is proposed. Then the load combination conditions are divided into 9 operating conditions based on EN12663-2010. With the aid of Abaqus software, the strength and stiffness are judged whether it is qualified. The experimental results show that the aluminum alloy car body structure of Shanghai Line 16 can meet EN12663 and TB/T1335. In this paper, it provides a verification process for the reliability of the strength and stiffness of subway aluminum alloy car body.