在電廠燃煤機組燃燒運轉過程中，其鍋爐內部各加熱區域的爐管必定會有結渣或積灰發生，此現象嚴重時會影響到鍋爐內各加熱區段之熱傳效果與能量分佈，大大降低鍋爐的受熱面積與吸熱效率。因此，為了滿足電力負載容量需求、降低燃料成本與空氣污染排放，建議使用智慧型吹灰系統，執行鍋爐爐管受熱面清掃以減輕爐管結渣與積灰程度。H電廠燃煤機組現行吹灰系統一般都是由運轉人員依平日之運轉經驗及標準作業程序予以定時順序與頻率模式吹灰，然而，為了獲得更好的鍋爐爐管熱吸收效率，需要創新的吹灰技術才可滿足鍋爐分倉配煤燃燒的運轉模式。
H電廠執行一個智慧型吹灰控制系統改善計畫，藉由串流事件偵測、即時資料分析等複雜事件處理技術，建立鍋爐燃燒吹灰分析規則模型，提供火力電廠智慧吹灰系統的解決方案，此系統擷取火力電廠機組即時運轉情況，整合鍋爐運轉、配煤系統所提供之煤質與煤灰分析及歷史鍋爐內結渣與積灰情形等資料，進行吹灰器順序與頻率資訊之統計迴歸與關聯分析，建立H電廠燃煤鍋爐的結渣與積灰特性模型，建置智慧型吹灰控制系統改善。可因應煤源煤質變化造成爐管結渣與積灰的影響，提升鍋爐爐管的熱交換率，提高機組燃燒效率，更可避免不具任何效益的吹灰，降低吹灰空壓機使用量及減少廠內用電，提升整體的發電運轉節能效率。

Running the operation process of a coal-fired power plant, slagging and ash deposit will be accumulated on tubes of heating sections inside a boiler, which could influence heat transfer efficiency and energy distribution of heating sections. A drastic reduction of the furnace heated area and absorption efficiency could be effected. Therefore, in order to meet the requirement of the electrical power capacity with reducing fuel cost and air pollution. A smart soot blowing system has been suggested to build up for cleaning the boiler heating section. The H coal-fired power plant has more larger capacity generator which belongs to Taiwan Power Company, it has joined with our case study. The cleaning slag and ash of boiler has been operated by operation experience and standard operating procedures with fixed time sequence and frequency for a long time. However, a new technical innovation in soot blowing is required to meet the coal blending combustion mode for obtaining a better boiler absorption efficiency.
This H power plant has implemented an improving plan with a smart soot blowing system. It solved the problem by means of finding the stream event detection, real-time data analysis and other complex event processing technology. A combustion soot blowing analysis rules model has been established to provide thermal power plant smart blowing system solutions. The designed system utilizes many kinds of data including real-time operating data, coal blending data system, slagging and ash deposit records, and the analysis of coal quality and fly-ash, etc.. Therefore, it has built a soot blower operating rule and the property model of slagging and ash deposit for the H coal-fired power plant through a regression analysis. The proposed smart soot blowing system applied to the H coal-fired power plant exhibits a high heat exchange rate of tubes and an enhanced combustion efficiency of boiler with various coal types. Moreover, the generating efficiency is also improved by avoiding unnecessary blows.

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