施工环境温度对碎石化后碎石颗粒级配范围的影响分析数据

本数据聚焦于分析施工环境温度对碎石化后碎石颗粒级配范围的影响，揭示了施工环境温度与碎石颗粒分布特性之间的定量关系。公司可通过本数据分析不同施工环境温度对碎石颗粒级配范围的影响规律，精准调控破碎工艺的操作参数，提升碎石施工质量，优化碎石的颗粒分布和均匀性。本数据可以给碎石施工领域的相关科研工作者、技术研发人员、工程监理人员、工程质量检验人员等使用，为他们围绕施工环境温度工况、碎石颗粒级配范围等角度开展碎石工程的相关预测分析、质量控制、科学研究、技术优化等工作提供支撑。1.数据采集：记录不同施工环境温度工况下碎石化处理后碎石颗粒的级配范围测试数据，具体包括测试点编号、测试时间、施工环境温度/°C、碎石颗粒级配范围/%等字段。
2.数据预处理：(1)对采集的数据进行去噪处理，确保数据准确性。(2)把历史采集的数据（包含本次采集）进行聚合，形成数据集X，并针对数据集X中的碎石颗粒级配范围字段，计算出其平均值。
3.计算线性回归斜率a和截距b：基于数据集X（以施工环境温度为自变量、碎石颗粒级配范围为因变量），运用SLOPE函数，基于最小二乘法原理确定斜率a，运用INTERCEPT函数确定截距b。斜率a表示单位施工环境温度变化对碎石颗粒级配范围的影响程度，截距b表示基准施工环境温度下碎石化后碎石颗粒的级配范围值。
4.结果运用：（1）计算比例系数k：k=|a/碎石颗粒级配范围平均值|×100%；（2）若k≥10%，则判定为“高影响”，若5%≤k＜10%，则判定为“中影响”，若k＜5%，则判定为“低影响”。

This dataset focuses on analyzing the impact of construction ambient temperature on the gradation range of crushed stones after rubblization, and reveals the quantitative relationship between construction ambient temperature and the particle distribution characteristics of crushed stones.

Enterprises can use this dataset to analyze the influence law of different construction ambient temperatures on the gradation range of crushed stones, accurately adjust the operating parameters of the crushing process, improve the quality of crushed stone construction, and optimize the particle distribution and uniformity of crushed stones.

This dataset is available for relevant researchers, technical R&D personnel, project supervisors, and engineering quality inspectors in the crushed stone construction field, providing support for them to carry out related predictive analysis, quality control, scientific research, technical optimization and other work of crushed stone engineering from the perspectives of construction ambient temperature conditions and crushed stone gradation range.

1. Data Collection: Record the gradation range test data of crushed stones after rubblization under different construction ambient temperature conditions, including specific fields such as test point number, test time, construction ambient temperature/°C, and gradation range of crushed stone particles/%.
2. Data Preprocessing:
(1) Denoise the collected data to ensure data accuracy.
(2) Aggregate the historically collected data (including this collection) to form dataset X, and calculate the average value for the gradation range field of crushed stone particles in dataset X.
3. Calculation of linear regression slope a and intercept b: Based on dataset X (taking construction ambient temperature as the independent variable and gradation range of crushed stone particles as the dependent variable), use the SLOPE function to determine the slope a based on the principle of least squares, and use the INTERCEPT function to determine the intercept b. The slope a represents the impact degree of unit change in construction ambient temperature on the gradation range of crushed stone particles, and the intercept b represents the gradation range value of crushed stone particles after rubblization under the reference construction ambient temperature.
4. Result Application:
(1) Calculate the proportional coefficient k: k = |a / average value of gradation range of crushed stone particles| × 100%;
(2) If k ≥ 10%, it is judged as "high impact"; if 5% ≤ k < 10%, it is judged as "medium impact"; if k < 5%, it is judged as "low impact".

搜集汇总

背景与挑战

背景概述

该数据集包含529条记录，记录了施工环境温度与碎石颗粒级配范围的关系，适用于碎石施工质量控制和工艺优化。数据格式为csv，更新频次为按需更新。