| With the transformation and development of our national economy,the main mode of dangerous goods transportation is also accompanied by the migration of coastal heavy industry enterprises to inland areas gradually from waterway transportation to road transportation,so the highway dangerous goods transport industry has been developed rapidly.The research on the safety of highway dangerous goods transportation is an important research direction,and it is of great significance to study the key technologies used in it.In this paper,the traditional dangerous goods safety monitoring system and its corresponding on-board system are analyzed and studied.It is found that the traditional dangerous goods vehicle system has defects in the key technologies of sensor data acquisition,monitoring video data transmission and memory management.In view of the above defects,this paper makes the corresponding improvement methods,the main contents of the study are as follows:First of all,in view of the shortcomings of the traditional dangerous goods vehicle system in the sensor data acquisition design,this paper designs and implements a distributed multi-sensor data acquisition network from the sensor network design.Nine kinds of 29 sensors are used in the network,in which a multi-sensor acquisition scheme is designed for the acquisition of five key data: temperature,combustible gas concentration,pressure,liquid level height and humidity.Five sensors are arranged in different positions for the measurement of each key parameter.Compared with the traditional single sensor data acquisition design,this design reduces the impact on the whole vehicle system when a single sensor fails,and improves the reliability of the dangerous goods vehicle system in sensor data acquisition.Secondly,in order to solve the problem of multi-channel data transmission brought by the huge sensor data acquisition network,this paper designs and implements a method of using GPMC interface to transmit distributed multi-channel sensor data.The experimental results show that the packet loss rate of sensor data transmission between sensor signal coordinator and on-board system monitoring server is 0%,and the reliability of data transmission is strong.Thirdly,in view of the shortcomings of the traditional dangerous goods vehicle system in sensor data processing design,this paper designs a multi-sensor data fusion method which combines Dixon mean processing algorithm and Kalman filter algorithm.The experimental results show that,compared with the existing dangerous goods vehicle system,the average error between the measured value and the real value is reduced by 66.11%,and the accuracy of the sensor measurement value is improved.Fourthly,in view of the shortcomings of the traditional dangerous goods vehicle system in monitoring video transmission,this paper designs and implements an optimal design of monitoring video transmission based on streaming media protocol.The experimental results show that this method reduces the transmission delay of monitoring video to within 400 ms,and the transmission delay is reduced to less than 50% of the traditional method compared with the traditional monitoring video transmission method based on Live-555 open source library.Fifthly,in view of the shortcomings of the traditional dangerous goods vehicle system in monitoring video memory management,this paper designs a pool memory management method based on DM8168.The experimental results show that this method improves the memory usage efficiency in monitoring video transmission by 13.7%,reduces the memory consumption by 26.8% at run time,and effectively improves the memory usage efficiency.The consumption of system memory for monitoring video transmission is reduced.Finally,the performance test and functional test of the dangerous goods vehicle system were carried out.The test results show that the improved method proposed in this paper can greatly improve the reliability and accuracy of sensor measurement data and improve the early warning ability of dangerous goods monitoring system before accidents.At the same time,it improves the real-time performance of the monitoring video,reduces the memory consumption of the vehicle system,improves the memory use efficiency,and improves the ability of the dangerous goods monitoring system to judge the scale of the accident and the reaction speed of the accident. |
