边缘智能控制系统化工行业工程现场历史数据集

本数据集为课题五的“边缘计算智能控制系统集成和工程应用”在化工流程行业中产生的历史数据记录。根据该数据集，对数据进行大数据分析，最终作为基于大数据的PID自整定算法的原始样本训练数据。数据采集时间为2022年9月1日到2022年9月30日，采集地点为多氟多股份有限公司氢氟酸洗涤工序现场。数据需要通过项目自主开发的边缘计算智能控制系统进行历史大数据训练作为样本数据。边缘智能控制系统流程行业工程现场历史数据集文件类型是csv格式，从多氟多工业现场历史数据库导出的数据文件，涉及到现场氢氟酸洗涤工序（流量，温度，压力）采集的历史数据，共计259201条记录。

This dataset consists of historical records generated in the chemical process industry for Project 5 "Integration and Engineering Application of Edge Computing Intelligent Control System". Based on this dataset, big data analysis will be performed on the data, which will ultimately serve as the original sample training data for the big data-driven PID self-tuning algorithm. The data collection period spans from September 1 to September 30, 2022, and the collection site is the hydrofluoric acid washing procedure site of Duofluoride Co., Ltd. The data needs to be used as sample data for historical big data training via the edge computing intelligent control system independently developed by the project. The historical dataset for edge intelligent control systems at process industry engineering sites is saved in CSV format. The data files are exported from the on-site industrial historical database of Duofluoride Co., Ltd., covering historical data collected from the hydrofluoric acid washing procedure including flow rate, temperature and pressure, with a total of 259,201 records.

搜集汇总

背景与挑战

背景概述

该数据集是边缘智能控制系统在化工行业工程现场采集的历史数据，主要用于大数据分析和PID自整定算法的训练样本。数据来源于2022年9月多氟多股份有限公司氢氟酸洗涤工序，包含流量、温度、压力等参数，共259201条记录，以CSV格式存储。