全网协同优化调控技术示范应用效果分析及评价数据集

本数据集旨在为集中供热系统的运行效果综合评价提供基础数据。数据集采集对象为黄骅地区的供暖期数据，涵盖了2025年3月应用优化调控技术后的实时运行数据和前三个采暖季同时期（2021年至2024年间每年3月份）应用全网协同优化调控技术前的历史运行数据，反映不同室外温度条件下和不同调控方式下的系统运行特性。数据采集依托智慧供热平台和高精度传感器，对供热系统中的室内外温度、供回水温度、压力、流量等核心参数进行实时采集与处理。在数据预处理阶段，运用三倍标准差法剔除离群数据，并采用线性插值方法填补缺失值，以确保数据的高可靠性与精确性。本数据集可用于供热系统运行效果的综合评价，包括室温状态、能源利用效率、经济效益、碳排放等评价指标的准确计算，也可用于负荷预测、故障诊断和优化调控算法的开发，为集中供热系统的的智慧调控提供数据支撑。

This dataset is intended to provide foundational data for the comprehensive evaluation of the operational performance of central heating systems. The dataset comprises heating period data collected from the Huanghua region, covering real-time operational data obtained in March 2025 after the deployment of optimized regulation and control technologies, as well as historical operational data from the corresponding periods of the prior three heating seasons (March of each year between 2021 and 2024) before the implementation of whole-network collaborative optimized regulation and control technologies. It reflects the operational characteristics of the central heating system under varying outdoor temperature conditions and different regulation modes. Data collection is conducted via smart heating platforms and high-precision sensors, which perform real-time acquisition and processing of core parameters in the heating system, including indoor and outdoor temperatures, supply and return water temperatures, pressure, flow rate, and other key parameters. During the data preprocessing phase, the three-sigma rule is applied to remove outlier data, and linear interpolation is utilized to fill missing values, thereby ensuring high reliability and accuracy of the dataset. This dataset can support the comprehensive evaluation of heating system operational performance, including accurate calculation of evaluation metrics such as indoor temperature status, energy utilization efficiency, economic benefits, and carbon emissions. It can also be employed to develop load forecasting, fault diagnosis, and optimized regulation and control algorithms, providing data support for the intelligent regulation of central heating systems.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于集中供热系统的全网协同优化调控技术示范应用效果分析，采集了黄骅地区供暖期的实时和历史运行数据，涵盖温度、压力、流量等核心参数，并经过预处理确保高可靠性。数据集旨在支持供热系统运行效果的综合评价、负荷预测和优化算法开发，为智慧调控提供数据支撑，属于国家重点研发计划项目成果。