Research And Development Of Driving Behavior Evaluation System For Dangerous Chemical Transportation Drivers Based On Internet Of Things

As an indispensable element in the industrialization era,hazardous chemicals are commonly used in various fields of urban construction.As the demand for hazardous chemicals increases in various fields,the task of transporting hazardous chemicals between different regions is increasingly heavy.Due to the inherent characteristics of hazardous chemicals,such as toxic,harmful,flammable and explosive,there are high safety risks in the transportation process,and as of the first half of 2020,280 large and above accidents of hazardous chemical transportation have occurred in China,causing great economic losses,casualties and environmental pollution.In the face of the frequent traffic accidents of hazardous chemical transportation,it is urgent to improve the supervision ability of hazardous chemical transportation companies in addition to formulating relevant laws and regulations.The paper aims to improve the staff evaluation ability of dangerous chemical transportation companies,and designs a kind of dangerous chemical transportation driver driving behavior evaluation system by combining the Internet of Things technology and driving behavior evaluation theory.(1)Analyze the current development of monitoring technology,early warning technology and driver evaluation of dangerous goods vehicles at home and abroad,and draw the research significance of driver evaluation of dangerous goods vehicles according to their advantages and shortcomings and give the technical route.(2)The system is divided into two parts according to functions: data monitoring system and assessment and management platform.The respective functional requirements are discussed and five key indicators of driver behavior scoring system in hazardous chemical transportation environment and monitoring parameters are given,and the Io T technology and weight determination method of driving behavior scoring indicators used in the thesis are introduced.(3)The development and design of the data monitoring system and the assessment and management platform were carried out respectively.For the data monitoring system,STM32 is selected as the main controller,Jetson nano as the edge computing processor,and CC2530 Zig Bee module as the external sensor terminal node to monitor the vehicle speed,vehicle distance,vehicle geographic location,ambient temperature,and driver sensitive operation behavior,and the collected raw data are processed by the judgment algorithm of the main controller,and the results are uploaded to the cloud server through the 4G module is uploaded to the cloud server.For the assessment and management platform,My SQL is used as the system database and Django framework is used as the Web backend development framework to realize the Web page development design.In addition,entropy power hierarchy analysis was used to determine the index weights of the driving behavior assessment system,and the scoring of the driver’s driving behavior was completed in the View layer of the Django development framework by retrieving database data and the developed scoring guidelines.Finally,the system functions were tested to verify the feasibility of the system.The test results showed that the monitoring parameters can be gathered to the Io T intelligent gateway and uploaded to Ali cloud server according to Modbus TCP protocol,the server parses the protocol and saves the data to the corresponding form in the database,meanwhile the server can score the driving behavior according to the driver’s assessment related data and save the result to the database,the Web page can query the corresponding data through the backend system and display it on the page.