Design And Implementation Of The Monitoring System On The Chemicals Transportation Vehicle

In recent years,the gap between the increasing transportation demand and the lagging monitoring technique onboard can be the biggest problem of dangerous chemicals transportation.Recently,most monitoring devices in vehicle work only based on the position information and other single data.Their warning abilities is weak especially.In order to solve this problem,this paper presents a vehicle-mounted monitoring and management system based on IoT for dangerous chemicals transportation.First of all,the design of the overall system is described.The system needs to be implemented in both hardware devices and software system.Mainly,the hardware part includes the vehicle-mounted control system and the remote control subsystem of valve lock.The tasks of the former are collecting the relevant data in vehicle,judging the abnormal situation,resolving the control command and responsing at the same time.On the contrary,the latter monitors the valve and responses the valve lock control command.Secondly,the software development and running environment of the system is introduced.According to the function in need,the kernel and interface of the system are reduced and adapted.And more importantly,the problem in interface functions development and adaptation which are used in CAN bus communication and GPS Beidou module position based on serialports is solved.Then,the technical basis and implementation process of vehicle detection are described.The relevant data such as tire pressure and temperature,speed and engine speed of vehicle is collected by CAN bus which communicating with tire pressure observation module and OBD interface.After that,the data will be analysed whether the vehicle is in bad condition or not and uploaded to the remote server.Next,the method to gather the vehicle driving data is illustrated.GPS Beidou module is used to get the vehicle position and speed data.This data will also be analysed and uploaded to the remote server.To improve the accuracy of the analysis result and system stability,the Kalman filter algorithm is used to process the speed data and combine the speed data which coming from the OBD interface.In addition,the way to collect the video and picture in abnormal situation is implemented.When the accidents occur,the camera will take the video and save it in local path.Besides,the system will capture the picture from the video and upload it with time point to remote server according to the communication protocol.Some leaders can check it on the Internet.What's more,remote control subsystem of valve lock is described which is used to monitor the valve and control the valve lock remotely.And in leakage detection,not only the resistance method but also the image method are proposed to finish the task.But the image method is a theoretical design.Last but not least,wireless communication protocol and remote control management are implemented.The vehicle-mounted control system uses the 4G module to communicate with remote server.And the remote control subsystem of valve lock uses the wireless LoRa module to communicate with the vehicle-mounted control system and control the valve lock remotely.In the end,the full text is summarized.And the shortcomings of this system is put forward.Some improvements can be accomplished in the future.