D-series high-speed train advanced repairing and debugging priority optimization method based on data management
A technology of data management and optimization methods, applied in data processing applications, instruments, forecasting, etc., can solve the problems of waste of maintenance resources, complex operating environment, and high running speed of EMUs
Active Publication Date: 2018-03-09
中国铁路上海局集团有限公司上海动车段
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Problems solved by technology
However, due to the high operating speed, long operating mileage and complex operating environment of EMUs, the existing fixed process flow can no longer meet the needs of various advanced repair bases
At the same time, in the existing commissioning and maintenance process, it is impossible to reasonably screen out unnecessary items, resulting in a waste of maintenance resources
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[0051] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0052] It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other.
[0053] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, but not as a limitation of the present invention.
[0054] In a preferred embodiment of the present invention, according to figure 1 and figure 2 As shown, a pri...
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The invention discloses a D-series high-speed train advanced repairing and debugging priority optimization method based on data management. The method comprises the following steps: sequentially building an overhaul priority model, a fault probability model, a finished vehicle perfectness ratio model, an overhaul total cost model, an overhaul total duration model and a final overhaul model, and carrying out data optimization by combining operating data of a D-series high-speed train required to be overhauled according to the overhaul model, so that an optimized suggested overhaul scheme is obtained. By virtue of the technical scheme, debugging overhaul operation efficiency of the D-series high-speed train can be improved, so that the method disclosed by the invention has better applicability, and overhaul duration, overhaul cost and overhaul effect are reasonably distributed.
Description
technical field [0001] The invention relates to the field of EMU maintenance, in particular to a data management-based priority optimization method for high-level maintenance and debugging of EMUs. Background technique [0002] At present, with the continuous construction and development of my country's high-speed rail, the number of EMUs continues to increase, and the pressure on EMU maintenance is increasing. The maintenance of EMUs is divided into two types: operational repairs and advanced repairs. Advanced repairs are used to restore the basic performance of EMUs. The commissioning operation runs through the whole process of advanced maintenance, and is an important means to discover and eliminate performance problems of EMUs. [0003] At present, the EMU debugging operation process is mainly based on the maintenance process provided by the original factory. However, due to the high operating speed, long operating mileage, and complex operating environment of EMUs, th...
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Login to View More IPC IPC(8): G06Q10/04G06Q10/00G06Q50/30
CPCG06Q10/04G06Q10/20G06Q50/40
Inventor 葛召华徐飒王群华张华陈骏亚张幼庆张恩宇董韬刘少龙邢豪夏剑敏何骥宋腾飞
Owner 中国铁路上海局集团有限公司上海动车段