河北黄骅市集中供热面积769万平方米的数字孪生平台供热信息数据集

本数据集为构建集中供热系统数字孪生平台提供高质量基础数据。数据集涵盖了黄骅市2024-2025供暖季（11月-次年3月），完整覆盖初寒期、高寒期及末寒期，系统性地表征了不同室外温度下的系统运行特性。通过高精度传感器网络与智能平台，实时采集并处理了室内外温度、供回水温度、压力、流量及热量等关键参数。经三倍标准差法剔除离群值及线性插值填补缺失值预处理，保障了数据的可靠性与准确性。该数据集可用于供热系统的能效分析、负荷预测和智能调控算法的开发，提升供热系统的运行和管理水平，促进供热系统的节能减排和安全保障，具有一定的社会效益和经济效益。This dataset provides high-quality foundational data for the construction of a digital twin platform for centralized heating systems. It covers the 2024-2025 heating season (November to March of the following year) in Huanghua City, fully spanning the early cold period, severe cold period and late cold period, and systematically characterizes the operating characteristics of the system under various outdoor temperatures. Key parameters including indoor and outdoor temperatures, supply and return water temperatures, pressure, flow rate and heat quantity were collected and processed in real time via a high-precision sensor network and intelligent platform. Preprocessing including outlier removal via the three-sigma method and missing value imputation via linear interpolation was performed to ensure the reliability and accuracy of the data. This dataset can be applied to energy efficiency analysis, load forecasting and the development of intelligent control algorithms for heating systems, to improve the operation and management level of heating systems, promote energy conservation, emission reduction and safety assurance of heating systems, and has certain social and economic benefits.

搜集汇总

背景与挑战

背景概述

该数据集为构建集中供热系统数字孪生平台提供基础数据，覆盖河北黄骅市2024-2025供暖季。它系统采集了室内外温度、供回水温度、压力、流量等关键运行参数，并经过预处理，可用于能效分析、负荷预测和智能调控算法开发。