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Intelligent processing method and system for rail transit multi-work-type simulation training

A rail transit and simulation training technology, applied in data processing applications, instruments, simulators, etc., can solve the problems of low efficiency of training assessment, unmeasured rationality and complexity of training courses, and irregularities, so as to avoid subjectivity , rationalize the difficulty of courses, and improve the effect of coordination and cooperation

Inactive Publication Date: 2022-01-07
CHENGDU YUNDA TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, in the traditional rail transit training process, all participating roles need to be online to achieve multi-type practice and call response training. The practice part of the trainees can be assessed and evaluated based on rules, while the call response part of the trainees requires Teachers make subjective judgments, and the efficiency of training assessment is low and irregular; in addition, the rationality and complexity of the training curriculum cannot be measured, which leads to the fact that the existing rail transit simulation training cannot autonomously intelligentize the training process of trainees Optimize training assessment

Method used

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  • Intelligent processing method and system for rail transit multi-work-type simulation training

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Embodiment 1

[0065] Embodiment 1: an intelligent processing method for rail transit multi-work type simulation training, such as figure 1 As shown, it is specifically implemented by the following steps.

[0066] Using a voice behavior recognition-based autonomous intelligent assessment method for multiple types of rail transit to train high-speed railway vehicle types, such as traffic dispatcher positions.

[0067] There are eight types of work in high-speed railways, namely, "vehicles, mechanics, electric vehicles, and passengers". The ability items of each type of work are divided into three types: basic theory, professional knowledge, and practical content. The above multiple types of work are referred to as , corresponding to the construction of the high-speed railway worker capacity model as follows:

[0068]

[0069] in, Indicates the three types of ability items that completely cover the basic theory, professional knowledge, and practical operation content of each type of w...

Embodiment 2

[0093] Embodiment 2: An intelligent processing system for rail transit multi-work simulation training, such as figure 2 As shown, it includes system building module, evaluation building module, role supplementary module, result analysis module and modification and optimization module.

[0094] Among them, the system building module is used to establish a multi-scenario training course system based on the multi-skills capability model, on-site equipment operation and event handling process. The evaluation building module is used to establish the evaluation rules and self-evaluation degree according to the curriculum system, and use the voice behavior recognition and operation guidance system to provide auxiliary training for the scene courses with a high degree of self-evaluation. The role supplementary module is used to set up virtual roles according to the number of trainees and job requirements of the scene course, and generate corresponding training plans and expected trai...

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Abstract

The invention discloses an intelligent processing method and system for rail transit multi-work-type simulation training, and relates to the technical field of rail transit simulation training, and the technical scheme includes: establishing a course system of multi-work-type scene training; establishing an assessment and evaluation rule and an autonomous evaluation degree according to the course system; setting a virtual role according to the number of trainees in the scene course and the work type demand, and performing practical training on the trainees to obtain an assessment result; separating a voice call response training result of the trainee from the assessment score based on course scene implementation and a call response proportion, and performing analyzing according to the proportion of the voice response operation in the total course system to obtain a voice response operation training plan and a voice response operation expected training assessment target of the corresponding training course; and according to the recommended training index, correcting the training plan and recommending a new training plan until the course system, the autonomous evaluation degree and the virtual role are optimized, thereby realizing autonomous intelligentization of full-specialty multi-work-type full-process training examination.

Description

technical field [0001] The invention relates to the technical field of rail transit simulation training, more specifically, it relates to an intelligent processing method and system for rail transit multi-work type simulation training. Background technique [0002] The rail transit simulation training system is mainly aimed at the comprehensive training system built by multiple types of core operations such as rail transit dispatching, stations, and crew. [0003] At present, in the traditional rail transit training process, all participating roles need to be online in order to realize multi-type practice and call response training. The practice part of the trainees can be assessed and evaluated based on rules, while the call response part of the trainees requires Teachers make subjective judgments, and the efficiency of training assessment is low and irregular; in addition, the rationality and complexity of the training curriculum cannot be measured, which leads to the fact...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/20G09B9/00
CPCG06Q50/205G09B9/00
Inventor 李姝欣黄成周杨杨唐艳马顺强章磊徐建君曾理方代利杨智彬
Owner CHENGDU YUNDA TECH CO LTD
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