Keywords
Materials
Equipment
Classification
Big data coding system
Submitted : 2024-10-29
Accepted : 2024-11-13
Published : 2024-11-28
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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