Accidents in process industry occur frequently with serious casualties and property losses. This paper builds an accident causation model of process industry based on system thinking by dividing the accident causation system into 4 subsystems and 22 factors. A combination of grey relational analysis and correspondence analysis is conducted to carry out a structured analysis of the collected data. The research contains three main parts: (1) Grey relational analysis is used to obtain the significance ranking of 22 cause factors in process industry, and three critical cause factors are identified as “Security inspection,” “Risk identification,” and “Security awareness.” (2) Through correspondence analysis, the correlations between three sets of variables are analyzed and the cause factors requiring focused attention are identified as “Electric spark,” “Temperature,” “Raw material control,” “Punching phenomenon,” “Equipment clogging,” and “Combustible gases.” (3) An intelligent monitoring scheme is developed for the critical factors of each subsystem, which aims to achieve real‐time monitoring and early warning by means of video surveillance and sensor placement for the human, equipment, and environment subsystems. The conclusions obtained from this study can be used to enhance the efficiency of safety management and reduce the probability of accident occurrence in the process industry.
In order to improve the control performance of the pipe handling robot and the tracking effect of manipulator trajectory, the adaptive fuzzy-PID algorithm was applied to the joint control of robot arm. According to the nonlinear and time-varying parameters of valve-controlled asymmetric hydraulic cylinders extending and retracting movement, considering the influence of hydraulic pipeline and oil compressibility, a mathematical model of valve-control asymmetric hydraulic cylinder system was established. The dynamic response of the system model was studied based on the co-simulation of AMESim and Simulink. The results showed that compared with regular PID, the adaptive fuzzy PID controller could effectively suppress the nonlinear effect caused by oil compressibility, and reduce the response time of the system. At the same time, it could enhance the anti-interference ability of the system, and improve the dynamic tracking performance of the pipe handling robot.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.