基於火焰影像分析技術之燃燒優化控制與評估

Control and Assessment of Combustion Process Based on Flame Image Analysis

徐振凱(Chen-Kai Hsu) ； 鄭儀誠(Yi-Cheng Cheng) ； 陳佳鴻(Jia-Hong Chen)

《燃燒季刊》 75期 (2011/11) Pp. 62-76

https://doi.org/10.30041/CQ.201111.0006

摘要

依據煙道口氧氣濃度可以進行燃燒效率調整，但由於氣體濃度量測時延，以控制學理而言，應該還可以藉由縮減控制變異來達到進一步的節能效益，因此本文發展了基於影像之預測控制技術，基於感官式火焰區分方法可迅速地識別出燃燒火焰並進行特徵轉換，建立即時氧氣濃度之預測模型，再將虛擬儀表之感測結果傳至PI控制器達到燃燒優化控制之目的，並進行傳統測量控制策略以及影像預測控制策略之性能分析與比較，從分析結果証實影像預測控制理論上會比傳統控制效果優異，另外經由實際實驗燃燒爐驗證影像預測控制策略之有效性。

關鍵字

火焰影像 ； 燃燒效率 ； 影像預測控制 ； 性能評估

並列摘要

Combustion efficiency of industrial furnaces is effectively regulated based on the oxygen concentration in the flue gases. According to the concept of control, the more energy conservation can be reached by reducing the control variance due to the measurement delay. The image-based predictive control is proposed in this paper. A flame identification technology using fuzzy logics is applied and calculation of flame features is processed simultaneously. A control strategy combining the prediction model of oxygen concentration and use of an ideal PI controller has put into practice for the optimization of combustion operation. This paper compares and assesses the performance of analyzer-based and image-based control strategies as well as the application to an experimental furnace. The results show the image-based predictive control has higher efficiency than the traditional control strategy.

並列關鍵字

Flame image ； combustion efficiency ； image-based predictive control ； performance assessment