Full-automatic running train intelligent operation and maintenance management platform and method

Abstract

The invention discloses a full-automatic running train intelligent operation and maintenance management platform. The platform comprises: a data sensing layer, which is used for obtaining multi-dimensional data and transmitting the multi-dimensional data to a data transmission layer; the data transmission layer, which is used for receiving data and transmitting the data to a data analysis layer; the data analysis layer , which analyzes and explores the received data, constructs early warning and performs trend prediction; an application system layer, which is used for performing real-time monitoring, health diagnosis and operation and maintenance suggestion on a train according to the analysis result of the data analysis layer. The invention further discloses a full-automatic running train intelligent operation and maintenance management method. According to the invention, by analyzing and exploring data of the platform, an urban rail transit train operation and maintenance system is deeply enabled, complex brain decision is supported, safety and service risk management are enhanced, the full-life-cycle application level of a train is deepened, and a data mining technology is deeply fused with the urban rail transit train operation and maintenance system, so that the urban rail transit train operation and maintenance are integrally promoted.

Description

technical field [0001] The invention relates to the technical field of urban rail transit, in particular to an intelligent operation and maintenance management platform and method for fully automatic running trains. Background technique [0002] With the development of the era of networked operation, the intensity of passenger flow in my country's urban rail transit continues to increase, service requirements continue to increase, and pressures on safety, maintenance, and cost are increasing day by day. With the improvement of train equipment technology, various places gradually begin to build fully automatic operation Higher requirements are put forward for train operation, train dispatching organization, and maintenance management. It is urgent to use intelligent technology to improve the operation and maintenance management level of urban rail trains to meet the challenges of networked and automated operations and to achieve sustainable urban rail transit. develop. [0003...

AI Technical Summary

Problems solved by technology

[0004] The platform lacks top-level planning: the platform built in the early stage of construction is oriented to business limitations, and does not consider the problems of subsequent expansion and integration between different platforms. The equipment manufacturers of the train operate independently, the monitoring items are asymmetrical with the actual operation and maintenance requirements, and the massive data cannot be effectively analyzed. , applications, forming data islands, big data has become big data, which indirectly increases the burden of user applications

[0005] Difficult to deeply integrate data: trains can be divided into multiple independent sub-equipment, each sub-equipment has a variety of data types, there are problems such as inconsistent formats, inconsistent technical principles of the equipment it relies on, and inconsistent maintenance requirements, independent of each other, and lack of vehicle level comprehensive mining platform, it is difficult to play the economic benefits of big data

[0006] The reliability of train-oriented monitoring equipment is low: various types of train-oriented monitoring equipment have been put into use to replace manual maintenance, but each monitoring equipment detects a single item, and the detection data is not correlated with the real-time status of the equipment. The reliability of the equipment detection data sex is not guaranteed

[0007] Bottleneck in professional data mining: There are many types of train sub-equipment, the key sub-equipment parts are highly specialized, each sub-equipment and parts have a clear division of labor, and the technical principles and fault history of sub-equipment and parts are highly confidential. Encountered bottlenecks in effective data analysis and excavation of vehicles and sub-equipment

[0008] The technical decision-making of the platform is not connected with the existing system: various smart operation and maintenance platforms do not consider the actual urban rail maintenance management mode, and the technical decisions provided by the various smart operation and maintenance platforms have no interface with the existing production management system. The decision-making and production execution links are disconnected, requiring users to take care of multiple lines, causing management pressure, and various operation and maintenance platforms cannot receive actual execution feedback, and cannot correct and optimize analysis methods in a timely manner

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