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Intelligent algorithm platform construction method for urban rail transit data

An urban rail transit and intelligent algorithm technology, which is applied in the construction of an intelligent algorithm platform for urban rail transit data, can solve problems such as inability to focus on algorithm strategies and tedious engineering development, and achieve the effect of promoting data science and saving development costs.

Pending Publication Date: 2021-12-17
呼和浩特城市交通投资建设集团有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

To solve the problem that existing algorithm engineers need cumbersome engineering development and cannot focus their limited energy on the iteration of algorithm strategies

Method used

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  • Intelligent algorithm platform construction method for urban rail transit data
  • Intelligent algorithm platform construction method for urban rail transit data
  • Intelligent algorithm platform construction method for urban rail transit data

Examples

Experimental program
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Embodiment 1

[0095] Described urban rail transit data is urban rail transit inbound or outbound passenger flow data at time t;

[0096] The corresponding field is: the value of the inbound or outbound passenger flow of urban rail transit in the time period t+1;

[0097] The algorithm set: the first-level processing is a clustering algorithm model, and the second-level processing is a long-short-term memory neural network model;

[0098] Carry out clustering model processing on the spatial distribution features, extract the line features, station features and section passenger flow characteristics of different subway stations, these three features are the spatial features; carry out the clustering model processing on the time distribution features, extract a week The distribution characteristics of passenger flow in each day, and then divide the distribution characteristics of daily passenger flow into multiple time periods, and extract the distribution characteristics of passenger flow in ...

Embodiment 2

[0101] The urban rail transit data is an image of a rail transit vehicle inspection site:

[0102] The corresponding fields are: suspected fault map of parts;

[0103] The algorithm set: the first-level processing is a classification algorithm model, and the second-level processing is a fault detection model;

[0104] Classification model processing is performed on the inspection part images of rail transit vehicles to obtain tagged rail transit vehicle images classified according to structure and function, and the test samples of inspection parts are input into the fault detection model for detection, and a suspected fault image set is obtained.

Embodiment 3

[0106] The urban rail transit data is rail transit comprehensive monitoring and warning data and parameter configuration:

[0107] The corresponding fields are: warning message;

[0108] The algorithm set: the first-level processing is a classification algorithm model, the second-level processing is a purification algorithm model, and the third-level processing is a decision-making algorithm model;

[0109] The collected alarm data and equipment and parameter configurations are used as input to process the classification algorithm model, and the alarm data belonging to the same equipment or monitoring object are classified and used as the input of the next-level purification algorithm model; the purification algorithm model is The alarm data is processed and refined according to the level, chronological order, and repeated judgments to generate simplified and pure data, which is then input as the next-level decision-making algorithm model; the decision-making algorithm model g...

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Abstract

The invention discloses an intelligent algorithm platform construction method for urban rail transit data. The intelligent algorithm platform provides a service for an algorithm model, and the service for the algorithm model comprises the following steps: S1, obtaining to-be-predicted urban rail transit data and corresponding fields, and carrying out auxiliary calibration cleaning on the urban rail transit data; s2, performing feature engineering on the cleaned urban rail transit data to obtain a feature training set, and performing training according to the feature training set to obtain various algorithm models; s3, according to the corresponding fields, extracting various algorithm models related to the fields from an algorithm platform to form a set, and carrying out algorithm loading on the set formed by the various algorithm models to obtain an algorithm integration model; and S4, inputting the cleaned urban rail transit data into the algorithm integration model to obtain prediction result data. Common algorithms are provided and preset in the system. Model development is not concerned, and the algorithm can be directly selected for training operation.

Description

technical field [0001] The invention relates to the field of public transportation, in particular to a method for constructing an intelligent algorithm platform for urban rail transit data. Background technique [0002] At present, the urban rail transit industry is developing rapidly, and the amount of information data is constantly expanding. Data processing has developed from the original single data processing and multi-data processing to the current era of big data processing. [0003] With the rise of big data technology, the advantages of data are getting bigger and bigger, and the scope of influence is getting wider and wider. How to make good use of these data and extract valuable information from massive data is the core of the work of algorithm engineers. However, in the work of algorithm engineers, due to various engineering needs, it is often necessary to establish engineering projects for different projects and provide different computing environments for algor...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/04G06K9/00G06K9/62G06N3/04G06N3/08G06Q50/26G06K9/20
CPCG06Q10/0631G06Q10/0639G06Q10/04G06N3/049G06N3/08G06Q50/26G06T2200/32G06F18/23G06F18/24
Inventor 刘占英李峰张振义陈瑞军孟伟君刘芽楚研王彪
Owner 呼和浩特城市交通投资建设集团有限公司
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