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Fatigue Monitoring Of Locomotive Drivers, Security Monitoring And Wireless Transmission

Posted on:2010-01-18Degree:MasterType:Thesis
Country:ChinaCandidate:W F HeFull Text:PDF
GTID:2208360278969896Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
With the development trend of speed-increase for passenger traffic and heavy haul for freight traffic, and as the extended routing and operating by single driver reform has been carried forward on the railway sector, the driver is bearing increased pressure. There is an urgent need to explore the technical scheme to monitor the driver's work state in real-time. This thesis studies the two key issues of Monitored Control System for Safe Driving of Locomotive Engineer, that is, monitoring the state of drivers and wireless transmission of monitoring data.Firstly, to improve the effectiveness of real-time fatigue detection, a locomotive driver fatigue monitoring mechanism based on bayesian network information fusion is proposed. On-board monitoring devices acquire video images of the driver, three visual characteristic parameters that typically characterize the alertness of a person, PERCLOS, AECS and YawnFreq, are extracted in real time. To resolve the problem of single visual feature fuzzy uncertainty and multisource evidence information fusion, bayesian network model for fatigue is established to infer the fatigue level of the driver. The Bayesian network analysis tool MSBNx is used to do fatigue model reasoning experiment to verify the accuracy of the proposed fatigue monitoring mechanism.Secondly, to meet the real-time and reliability requirements of wireless transmission for monitoring data, a wireless transmission control strategy based on dual-interface circular scheduling and regulation of the packet rate is presented. Dual-wireless network interface using CDMA2000 1x standard are thaken to increase the transmission channel bandwidth; regarding to the network congestion and bandwidth fluctuation, RTP/RTCP Protocol is used to achieve QoS control. Channel quality is integrated forecasted with RTCP feedback information, and then it is uesd to help the system to schedule the two wireless interfaces in real-time and dynamicly adjust their packet sending rate. NS2 simulation is used to verify the effectiveness of wireless transmission control strategy in terms of sending rate and packet loss rate. Finally, the whole scheme of Monitored Control System for Safe Driving of Locomotive Engineer is presented and the embedded on-board monitoring subsystem is designed.
Keywords/Search Tags:driver fatigue monitoring, video surveillance, bayesian networks, wireless transmission
PDF Full Text Request
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