| Hopper car is a common railway freight vehicle,which accounts for a large proportion in the mode of bulk cargo transportation in China.However,the failure rate of hopper car bottom door opening and closing mechanism is high,which is easy to occur when the vehicle is running.The failure of the bottom door may cause goods dumping and damage of facilities along the route,and even threaten the safety of railway operation.Therefore,it is necessary to monitor the real-time status of the hopper bottom door.First of all,this thesis summarizes the existing monitoring scheme of the hopper car bottom door,introduces the strength and weakness of these monitoring schemes,and introduces the principle of opening and closing of the bottom door and reasons for common bottom door failures.On the basis of the above,this thesis analyzes the system requirements elaborately by considering the actual operating conditions of the hopper car,studies the key technologies,and completes the overall scheme design of the monitoring system for the car bottom door.Secondly,the state recognition algorithm of bottom door is studied.According to the image characteristics of the opening and closing of the hopper car bottom door,an image processing algorithm based on mathematical morphology is proposed to preliminarily judge the status of the bottom door through the photos.In virtue of the processing results and the monitoring data of the position sensor at two locking positions,the status of car bottom door is recognized so that the recognition results can help monitoring personnel to make final decisions.Then,the hardware and software of the system are designed in detail.As for hardware,the circuit design and component selection are completed.The core board circuit,power circuit,data storage circuit,data communication circuit and acceleration module circuit are designed.The selection and installation of Zig Bee wireless module,position sensor and serial port camera are introduced.In terms of software,the system software design is finished,and Zig Bee acquisition node and coordinator program are programmed to realize wireless image transmission and communication protocol.Also,the Linux development environment is built under ARM platform,gateway software design is finished and data communication and data processing functions are realized through multi-process programming.In addition,the development environment is built based on Aliyun Io T platform,ARM gateway access is realized and Web visual design is made through Aliyun Io T Studio,and App development is realized through Android Studio.Finally,the system functions are tested.The communication function and the state recognition algorithm of the bottom door are tested and the system undergoes joint test.The test results show that the monitoring system meets the operation conditions of the hopper car and can monitor the state of bottom door in real time and remotely.The system meets the design expectation and could add brilliance to the existing monitoring schemes. |