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Driverless train energy consumption prediction method and system and storage medium

A technology of unmanned driving and predictive methods, applied in the field of artificial intelligence, can solve problems such as neglect, and achieve the effects of ensuring effectiveness, improving convenience, energy saving benefits, and saving operating costs

Active Publication Date: 2021-04-30
CENT SOUTH UNIV
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

CN102360401B patent proposes a genetic algorithm-based energy-saving scheduling method for urban rail transit, and CN106740998A proposes a method for realizing energy-saving operation by finding speed switching points through on-board ATO. Although energy saving is realized by adjusting stop time or switching points, but Ignoring the internal and external factors of urban rail transit vehicles and the conditions of operation on the entire line

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  • Driverless train energy consumption prediction method and system and storage medium
  • Driverless train energy consumption prediction method and system and storage medium
  • Driverless train energy consumption prediction method and system and storage medium

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Embodiment Construction

[0054] like figure 1 , the embodiment of the present invention mainly includes the following steps:

[0055] Step 1: Acquisition of human-machine loop parameter signals for unmanned trains

[0056] This step includes the collection of train operation data, passenger data collection in the train and at the station, and internal and external environmental data collection. The specific content is as follows:

[0057] 1) Data collection of unmanned train operation

[0058] The training data collected by the on-board equipment and trackside equipment of the unmanned train include the stable running speed energy consumption value, driving distance, and road slope power consumption of the unmanned train during a specified time interval during travel.

[0059] The real-time driving speed and the driving distance within the interval T of the unmanned train can be obtained by the on-board equipment. The power loss calculation of the road slope is calculated by using the body deviatio...

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Abstract

The invention discloses a driverless train energy consumption prediction method and system, and a storage medium. On the basis of guaranteeing the safety, comfort and punctuality of a driverless train in an operation process, the collected train operation data, in-train and station passenger data, out-train environment data and other parameters are fused to achieve high-reliability and high-precision minimum traction energy consumption prediction of the driverless train.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to a method, system and storage medium for predicting energy consumption of unmanned trains. Background technique [0002] With the continuous breakthrough and innovation of rail transit technology, the automation level of rail vehicles has gradually increased. In the context of increasingly serious energy consumption problems, there is an urgent need to develop high-efficiency energy-saving technologies and operating technologies in the application of new driverless trains. At the same time, the development of an efficient and environmentally friendly rail transit system must not only actively respond to the energy crisis, but also meet the development requirements of building a green city and a smart city in the future. If the energy consumption of the rail transportation sector is too high, it will not only bring huge pressure on the national energy supply, but also lead t...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06F30/27G06K9/62G06N3/04G06N3/08G06N3/00
CPCG06Q10/04G06F30/27G06N3/086G06N3/006G06N3/045G06F18/25
Inventor 刘辉鄢光曦李燕飞张雷李烨王佳康
Owner CENT SOUTH UNIV