Research On Wireless Monitoring System And Health Status Evaluation Method For Catenary Spring Compensation Device

Urban rail transit and electrified railway use the catenary system to realize the power supply of electric locomotives.The catenary spring compensation device is an auxiliary equipment to assist the operation of the catenary system.By elastically compensating the catenary,the power supply quality of the catenary is improved and the normal operation of the electric locomotive is ensured.The catenary constant tension spring compensation device is a new type of compensation device.In actual operation,the internal scroll spring breaks,resulting in attenuation of the spring tension and loss of compensation ability for the catenary,which seriously threatens the safety of subway train operation.At this stage,most of the state inspections of catenary spring compensation devices are carried out by manual regular inspection,which is not only inefficient,but also has poor real-time performance.It is difficult to detect and prevent potential safety hazards in time.In view of the above problems,this paper takes the catenary constant tension spring compensation device as the research object,studies its wireless monitoring method,designs the wireless monitoring system of the catenary spring compensation device,and studies the health status evaluation method of the spring compensation device on this basis.The main research work and results are as follows:First of all,according to the operation and maintenance characteristics of the constant tension spring compensation device,analyze its specific technical requirements for wireless monitoring,compare the current mainstream long-distance wireless communication technology,and combine the actual application scenarios of the remote monitoring system for the state of the catenary compensation device,select a low-power,wide-ranging The coverage advantage of NB-Io T technology is used as the wireless transmission method of this system,and then the Internet of Things cloud platform is introduced and analyzed.Based on the Internet of Things cloud platform and its functional framework,starting from the actual system functional requirements,a catenary constant tension spring compensation is established.The device wireless monitoring system architecture clarifies the system-related technical index requirements.Secondly,combined with the operating characteristics of the constant tension spring compensation device and the wireless monitoring requirements,the appropriate temperature,tension and displacement sensors were selected,and STM32F103C8T6 was selected as the main control chip for on-site data acquisition,and BC26 was used as the wireless data transmission module,using a modular design Based on the idea,the wireless monitoring hardware system of the catenary constant tension spring compensation device is designed,including the peripheral circuit of the main control module of the field data acquisition terminal,the wireless communication module circuit,the sensor collection circuit and the power module circuit.Then,a wireless monitoring system for the catenary constant tension spring compensation device was built,and the data acquisition terminal program of the wireless monitoring system was designed to complete the data transmission.Based on the analysis of cloud service technology,a wireless monitoring system for the catenary constant tension spring compensation device was developed.The system user monitors the terminal program,tests and runs the various parts of the wireless monitoring system,and realizes the operation data monitoring with high stability and reliability.The test shows that the system can realize the real-time monitoring of the catenary constant tension compensation device,the data can be updated once every minute at the fastest,the tension and displacement(Compensate for rope pull out value)monitoring data errors are less than 2%,which meets the design requirements,and the data can be visualized and displayed through the host computer.Historical data query,and the completion of the preset abnormal tension alarm,the results show that the various functions and results meet the expected goals.Finally,referring to the technical standards and inspection items of the Ministry of Railways,the health status evaluation index of the catenary constant tension spring compensation device was selected,the scoring rules of the status quantity were established,and the status classification standard was clarified.Based on the principle of support vector machine and its Algorithm,establish a health status assessment model,and use the particle swarm optimization algorithm to optimize the two important parameters of the penalty parameter C and gamma of the support vector machine.Through experimental comparison,the optimized health status assessment model has an evaluation accuracy of 97.5%,and the accuracy rate is significantly improved.The research provides a theoretical basis and practical guidance for the implementation of wireless monitoring and health status assessment of the constant tension spring compensation device to ensure the safe and stable operation of the compensation device,and has practical application and promotion value.