Locomotive intelligent operation optimization calculation method

Abstract

The invention provides a locomotive intelligent operation optimization calculation method. The locomotive intelligent operation optimization calculation method comprises steps that step 1, information required by locomotive intelligent operation optimization is preprocessed; step 2, an initial optimization curve is generated; step 3, optimization adjustment is carried out based on speed limit; step 4, optimization adjustment is carried out based on time deviation; step 5, the optimization curve is adjusted based on a requirement on operation steady safe shifting, and a final optimization strategy is generated. The strategy of every step is affected by locomotive driving strategy influencing parameters, which are matched with different strategies under different conditions, and are used as strategy classification attribute for strategy classification. The strategy of every step can be used to form a strategy tree, the leaf node of which is the matched final optimization strategy according to the classification attribute. Every step of the whole scheme is capable of satisfying the schedule requirement, the speed limit requirement, the time table requirement, the steady operation requirement, the energy saving requirement, and other requirements of the locomotive operation, and optimization effect and integrated operation efficiency are guaranteed.

Description

technical field [0001] The invention relates to the field of locomotive control, in particular to a locomotive intelligent control optimization calculation method. Background technique [0002] With the rapid development of artificial intelligence, it promotes the development of automatic control to a higher level - intelligent control. Intelligent control is a kind of automatic control that can autonomously drive intelligent miracles to achieve their goals without human intervention, and it is also an important field of simulating human intelligence with computers. A key problem in the field of intelligent control is the optimization of complex manipulation sequences. In the field of industrial engineering, what people pay attention to is the optimal sequence of the target object that can satisfy a certain aspect of optimization performance under certain constraints. This optimization process is called manipulation sequence optimization. At present, research solutions at ...

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Problems solved by technology

The disadvantage of this method is that it introduces too much manual analysis and design, which greatly reduces the efficiency of strategy design. At the same time, due to the limited scope of human thinking, it cannot cover all possible situations, which will inevitably lead to partial resolution omissions.

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