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Volume 10,Issue 4

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27 November 2024
Research on Big Data Coding System Based on the Classification of Artificial Materials and Mechanical Equipment in Construction Engineering
Zuguo Bai ,  Sheng Han ,  Zhan Wei ,  Jinping Chu
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1 Hubei Urban Construction Vocational And Technological College, Wuhan 430205, China,
2 Hubei Construction Engineering Standard Quota Management Station, Wuhan 430205, China,
JARD 2024 , 8(6), 40–50; https://doi.org/10.26689/jard.v8i6.8794
© 2024 by the Authors. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
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Abstract

By analyzing and comparing the current application status and advantages and disadvantages of domestic and foreign artificial material mechanical equipment classification coding systems, and conducting a comparative study of the existing coding system standards in different regions of the country, a coding data model suitable for big data research needs is proposed based on the current national standard for artificial material mechanical equipment classification coding. This model achieves a horizontal connection of characteristics and a vertical penetration of attribute values for construction materials and machinery through forward automatic coding calculation and reverse automatic decoding. This coding scheme and calculation model can also establish a database file for the coding and unit price of construction materials and machinery, forming a complete big data model for construction material coding unit prices. This provides foundational support for calculating and analyzing big data related to construction material unit prices, real-time information prices, market prices, and various comprehensive prices, thus contributing to the formation of cost-related big data.

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