Research on Big Data Coding System Based on the Classification of Artificial Materials and Mechanical Equipment in Construction Engineering
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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