燃煤循环硫化床锅炉燃烧系统经济性评估数据

锅炉燃烧系统经济性评分旨在通过对锅炉运行中的关键参数进行实时监控和数据分析，全面反映锅炉的燃烧效率和能耗状况。在实际应用中，经济性评分被广泛用于实时监控与优化锅炉运行状态，指导锅炉运行策略的调整以适应供热需求变化，辅助制定维护与检修计划以预防潜在问题，如燃烧不充分、热量损失过大等；控制能耗成本以提高运营效率，延长设备使用寿命；通过持续优化锅炉燃烧经济性评分，为各大热电厂选择锅炉提供参考，热电厂能够实现更高效、更环保、更经济的运营目标。1.数据采集：通过DCS系统、SCADA系统对设备的锅炉系统的设备数据进行采集分析，包括床温系统评分（PT）、负压系统评分（PP）、主汽系统评分（PMS）三个维度评分基础数据； 2.数据处理：对采集数据按照标准参考值进行计算，床温系统评分：PT=T_lower * i1+T_middle * i2+T_upper * i3+T_outlet * i4，(i1=0.4804、i2=0.1697、i3=0.09486、i4=0.2528，均为特征权重)；负压系统评分：PP=O_c * y1+N_p * y2+E_gt * y3，(y1=0.3522、y2=0.5482、y3=-0.1486分别为特征权重)；主汽系统评分：PMS=MS_f * s1+MS_p * s2+MS_t * s3，(s1=0.0010、s2= 0.5125、s3=0.4868分别为特征权重)；各特征权重为自动化设备系统运行后得出； 3.分析锅炉燃烧经济性评分：PE=α * PT+β * PP+γ * PMS，（α=0.0079、β=1.4659、γ=-0.4738均为特征权重，且1=α+β+γ）。

The economic efficiency scoring of boiler combustion system aims to comprehensively reflect the combustion efficiency and energy consumption status of the boiler through real-time monitoring and data analysis of key parameters during boiler operation. In practical applications, this scoring system is widely used for real-time monitoring and optimization of boiler operating conditions, guiding the adjustment of boiler operation strategies to adapt to changes in heating demand, assisting in formulating maintenance and overhaul plans to prevent potential issues such as incomplete combustion and excessive heat loss, controlling energy consumption costs to improve operational efficiency and extend equipment service life. By continuously optimizing the boiler combustion economic efficiency scoring, it provides a reference for thermal power plants when selecting boilers, enabling thermal power plants to achieve more efficient, environmentally friendly and economical operational goals.
1. Data Collection: Equipment data of the boiler system is collected and analyzed via DCS and SCADA systems, including basic data of three-dimensional scoring dimensions: bed temperature system score (PT), negative pressure system score (PP) and main steam system score (PMS).
2. Data Processing: Calculate the collected data based on standard reference values.
Bed temperature system score: PT = T_lower * i1 + T_middle * i2 + T_upper * i3 + T_outlet * i4, where i1=0.4804, i2=0.1697, i3=0.09486, i4=0.2528 are the respective feature weights;
Negative pressure system score: PP = O_c * y1 + N_p * y2 + E_gt * y3, where y1=0.3522, y2=0.5482, y3=-0.1486 are the respective feature weights;
Main steam system score: PMS = MS_f * s1 + MS_p * s2 + MS_t * s3, where s1=0.0010, s2=0.5125, s3=0.4868 are the respective feature weights;
All the above feature weights are obtained after the operation of the automated equipment system.
3. Analysis of boiler combustion economic efficiency score: PE = α * PT + β * PP + γ * PMS, where α=0.0079, β=1.4659, γ=-0.4738 are the respective feature weights, satisfying 1 = α + β + γ.

搜集汇总

背景与挑战

背景概述

该数据集包含燃煤循环硫化床锅炉燃烧系统的详细运行参数和经济性评估数据，用于实时监控和优化锅炉运行状态，提高燃烧效率和能耗状况。数据规模为5762条，更新频次为按需更新，应用场景包括锅炉运行策略调整、维护检修计划制定和能耗成本控制等。