智能配煤技术在炼焦配煤中的应用进展

Application progress of intelligent coal blending technology in coking coal blending process

综述了传统经验配煤、煤岩学理论配煤以及人工智能配煤三种炼焦配煤技术,分析了计算机辅助配煤算法在炼焦配煤中的应用。在此基础上,提出了炼焦配煤技术后续的发展趋势。在通过大数据训练配煤模型的同时,还需要综合考虑炼焦煤性质、炼焦工艺等对焦炭质量的影响。基于以上内容,结合钢铁生产实际,可以建立焦炭质量与配合煤性质之间的关系,提出了关联数据分析、煤质指标、降本增效等指标的整体思路。

Three coking coal blending technologies were reviewed:traditional experience-based blending,coal petrology theory-based blending and artificial intelligence-driven blending.The application of computer-aided blending algorithms in coking coal blending process was analyzed.Based on this analysis,the future development trends for coal blending technologies were proposed.While training the coal blending model through big data,it was essential to comprehensively consider the impacts of coal property and coking process on the coke quality.Based on this content and combined with the actual steel production,a relationship between coke quality and blended coal property could be established.And the overall approach of related data analysis,coal quality indicator,cost reduction and efficiency improvement indicator had been proposed.