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A demand analysis system and method for pedigree high-speed trains

A high-speed train and demand analysis technology, which is applied in the field of demand analysis system for genealogical high-speed trains, can solve the problems of poor train configuration and production guidance, low accuracy, etc., achieve shortened design efficiency, simple structure, and improve market competitiveness Effect

Active Publication Date: 2018-08-14
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] For this reason, the technical problem to be solved by the present invention is that the demand analysis method in the prior art has a low accuracy rate and poor guiding significance for train configuration and production, so a method that can form a unified form of demand ontology through quantitative calculation, accurate A demand analysis method for genealogical high-speed trains based on semantic web and fuzzy clustering, which can guide train configuration and production well

Method used

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  • A demand analysis system and method for pedigree high-speed trains
  • A demand analysis system and method for pedigree high-speed trains
  • A demand analysis system and method for pedigree high-speed trains

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Experimental program
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Effect test

Embodiment 1

[0041] The pedigree high-speed train demand analysis system of the present invention includes a demand database module, a high-speed train demand feature classification module and a fuzzy clustering mapping module. The high-speed train demand database module collects and extracts the customer's demand for high-speed trains, and establishes and stores the demand characteristic database according to the demand. The high-speed train demand feature classification module expresses the customer demand information in the demand database using a semantic description method, and classifies the customer demand information into subject demand feature sets representing the main purpose features of high-speed trains , the key demand feature set representing the technical parameter characteristics of high-speed trains, and the passenger demand feature set representing the basic or additional requirements for passenger service of high-speed trains, so as to establish the demand feature domain...

Embodiment 2

[0056] Aiming at the demand analysis system and method of the demand analysis system for the pedigree high-speed train, a specific example is given to illustrate the process of mapping the demand feature domain with the functional demand parameters, structural demand parameters, and performance demand parameters of the high-speed train .

[0057] (a) First, the user's demand set is R p , expressing the customer demand in the demand feature domain as a customer demand set R P , the R P Including {safety, top speed, comfort, acceleration, cabin space, cold resistance, wind and sand resistance, electronic system, stability}

[0058] (b) Let the demand weight matrix corresponding to the above demand be W p , the user's needs and weights are shown in the following table:

[0059] Table 1

[0060] safety

top speed

comfort

Acceleration

compartment space

0.5

0.3

0.2

0.1

0.2

cold resistance

Anti-wind and sand

electronic sys...

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Abstract

A semantic web and fuzzy clustering based demand analysis method of a pedigree high-speed train. The method comprises: firstly, acquiring and extracting demands of a client for the high-speed train; secondly, performing semantic description and classifying the demands of the client into a main body demand feature set, a key demand feature set and a tourist demand feature set; then performing mapping on the main body demand feature set, the key demand feature set and the tourist demand feature set with a function demand parameter, a structure demand parameter and a performance demand parameter; and converting the demands for the train into quantitive calculation by using a fuzzy clustering analysis method. The present invention solves the technical problems of not only complex process, but also easiness for generating faults, which are caused by the case that in the prior art, a manual manner is adopted to map the demand body in a unified form in the prior art is solved, and a semantic web and fuzzy clustering based demand analysis method of the pedigree high-speed train which enables the demand body to form a unified form by means of the quantitive calculation, is rapid in processing and high in accuracy is provided.

Description

technical field [0001] The invention relates to an information analysis system and method, in particular to a demand analysis system and method for pedigree high-speed trains based on semantic web and fuzzy clustering. Background technique [0002] Demand analysis refers to the analysis of customer needs. Through demand analysis, customer requirements can be clarified, and then the information required for product configuration can be obtained. Effectively analyze customer needs to provide guarantee for product improvement, performance improvement, and new product design. Especially for large-scale public transportation equipment such as high-speed trains, the configurable types are diversified, and the customer's demand information is numerous. Considering the equipment cost, it is impossible to take into account the needs of all customers. Therefore, it is necessary to analyze according to the needs of customers, so as to guide the configuration, design and production of ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30G06Q30/02
Inventor 徐国卿宋丽波赵颜植谢小辉
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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