主蒸汽出口温度智慧控制数据

通过一次风总风量、二次热风风量、给煤机频率给定、一级减温水流量、二级减温水流量、中温过热器出口汽温、一级屏式过热器入口汽温、二级屏式过热器入口汽温的数据，可以精准控制锅炉出口蒸汽温度，保证锅炉出口蒸汽温度稳定，有利于整个锅炉系统的稳定运行、有助于提高生成过程中的稳定性和可预测性、减少设备热应力延长设备寿命、有效地控制能源消耗、控制排放降低环境污染。根据DCS系统中的一次风总风量V1、二次热风风量V2、给煤机频率给定F、一级减温水流量Q1、二级减温水流量Q2、中温过热器出口汽温T1、一级屏式过热器入口汽温T2、二级屏式过热器入口汽温T3、锅炉出口蒸汽汽温T，利用主蒸汽温度预测控制算法测算下一时刻一级减温水流量Q1和二级减温水流量Q2，算法可简单表示为Q1=Q1+α1f1(V1)+α2f2(V2)+α3f3(F)+α4f4(Q1)+α5f5(Q2)+α6f6(T1)+α7f7(T2)+α8f8(T3)；以f1(v1)为例，对一次风总风量V1进行映射变换的操作，α1为对应的系数，这些均属于商业秘密，故不作详细列举。

By leveraging data including total primary air flow, total secondary hot air flow, given coal feeder frequency, primary attemperator water flow, secondary attemperator water flow, outlet steam temperature of medium-temperature superheater, inlet steam temperature of primary platen superheater, and inlet steam temperature of secondary platen superheater, the boiler outlet steam temperature can be precisely controlled to ensure stability. This contributes to the stable operation of the entire boiler system, improves the stability and predictability of the generation process, reduces equipment thermal stress to extend service life, effectively controls energy consumption, and curbs emissions to reduce environmental pollution. Based on the data from the DCS system: total primary air flow V1, total secondary hot air flow V2, given coal feeder frequency F, primary attemperator water flow Q1, secondary attemperator water flow Q2, outlet steam temperature T1 of medium-temperature superheater, inlet steam temperature T2 of primary platen superheater, inlet steam temperature T3 of secondary platen superheater, and boiler outlet steam temperature T, the main steam temperature predictive control algorithm is used to calculate the primary attemperator water flow Q1 and secondary attemperator water flow Q2 at the next time step. The algorithm can be simply expressed as:
Q1 = Q1 + α₁f₁(V1) + α₂f₂(V2) + α₃f₃(F) + α₄f₄(Q1) + α₅f₅(Q2) + α₆f₆(T1) + α₇f₇(T2) + α₈f₈(T3)
Taking f₁(V1) as an example, it refers to the mapping transformation operation for the total primary air flow V1, and α₁ is the corresponding coefficient. These contents belong to trade secrets and will not be listed in detail.

搜集汇总

数据集介绍

特点

该数据集包含主蒸汽出口温度相关的控制数据，用于精准调节锅炉运行参数，优化能源消耗和减少环境污染。数据每5秒更新，包含风量、给煤量、减温水流量和温度等多个关键指标。