Research On Power Supply Section Dispatching Command Center Based On Big Data

With the rapid development of high speed railway,the sampling frequency of the monitoring of the railway equipment and running state in railway monitoring system monitor is increasing year by year.The amount of information collected is increasing,and the data type is more complex.In that case,the railway bottlenecks encountered in the information on the road.Power supply section is faced with how to solve the problem that the traditional management mode is transformed into efficient information processing and intelligent scheduling.At present,the most urgent problem is how to deal with the relationship between the traditional structured data and massive unstructured data.In the current era of rapid development of big data,Big data is gradually changing the traditional design of railway power supply management system,Through the combination of large data optimization dispatch command center data processing,can improve the management level and increase the reliability of scheduling.It is significant to improve the working efficiency of the power supply section.In this paper,the following issues are completed:1.The system requirement analysis power dispatching decision based on big data: The design combined with the departmental organizational structure of Nanchang power supply section.Given the huge workload for the main system,this paper selects one of the traction power supply information system as the research object.This subsystem of auxiliary production scheduling process of traction power supply production related information collection,summary and analysis,to achieve the overall management of traction power production process.2.The establishment of PHP+MYSQL development platform for the development of dispatching system,and the CI framework and MVC model are used to design the storage and processing system.3.Aiming at the massive unstructured data monitored by railway monitoring system.By analyzing the advantages and disadvantages of different NoSQL databases,and combining the characteristics of railway information,we decided to choose Mongo DB to store and process unstructured data.The use of MongoDB file storage effectively solves the traditional file storage in slow speed,low efficiency and small capacity shortcomings.It provides a reliable guarantee for improving the operation efficiency.This study is aimed at the influence of the mass monitoring data of Railway on the traditional dispatching system.On the basis of the establishment of efficient basic data information management,adding the idea of big data,and designing and developing the power supply section dispatching command center based on PHP + MYSQL + MongoDB.It realizes the independent storage of structured data and unstructured data in the same system,improves the running speed of the system and optimizes the storage structure.It plays a more effective role in the production scheduling and operation of the power supply section.