原材料大数据系统检测数据模型

该数据模型依托广西交科集团有限公司自研的原材料大数据系统，将工程建设中材料的应用量、频繁不合格项目、材料性能分部、厂商供应情况等进行智能统计，并将项目原材料性能大数据储存，提供专业的原材料检测结果，为工程使用中质量评估提供数字化服务。

This data model is based on the self-developed raw material big data system of Guangxi Transportation Research & Consulting Group Co., Ltd. It conducts intelligent statistical analysis on the application volume of construction materials, frequently encountered unqualified items, material performance distribution, supplier supply status and other relevant information. The model stores the big data of raw material performance for engineering projects, provides professional raw material test results, and offers digital services for quality assessment during engineering application and usage.

搜集汇总

背景与挑战

背景概述

该数据集是由广西交科集团有限公司开发的原材料大数据系统检测数据模型，涵盖工程建设中的原材料应用量、不合格项目、性能分布和厂商供应情况等信息，每日更新，适用于科技创新和交通运输领域。