一种基于多目标优化的喷氨分区智能控制方法

By collecting and analyzing data on ammonia injection, flue gas, and zoning, a multi-objective optimization model was constructed, which solved the problem of inaccurate ammonia injection control, achieved precise control of ammonia injection zones, and improved the performance and intelligence of the denitrification system.

CN120502231BActive Publication Date: 2026-07-17GUODIAN JIUJIANG GENERATING CO LTD +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
GUODIAN JIUJIANG GENERATING CO LTD
Filing Date
2025-05-22
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing intelligent control technology for ammonia injection zones is difficult to combine and analyze ammonia data, flue gas data, and ammonia injection zone data, resulting in inaccurate control of ammonia injection volume and affecting denitrification effect.

Method used

By collecting ammonia injection data, flue gas data, and ammonia injection zone data, and using a multi-objective optimization method, an ammonia injection supply limitation model and a calibration model are constructed to obtain the ammonia-nitrogen reaction catalyst activity index and ammonia injection calibration coefficient, thereby achieving precise control of ammonia injection zones.

Benefits of technology

It achieves precise control of ammonia injection zones, improves the overall performance of the denitrification system, ensures accurate analysis and calculation of ammonia, and enhances the intelligence level of ammonia injection zone intelligent control.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明公开了一种基于多目标优化的喷氨分区智能控制方法,涉及喷氨分区智能控制技术领域,包括以下步骤:采集包括喷氨数据、烟气数据和喷氨分区数据的喷氨监测数据,并对采集的数据进行预处理;利用预处理后的喷氨数据和烟气数据,计算氮氧化物的物质的量,结合预处理后的喷氨数据,评估氨氮相对含量、理论喷氨量和氨气逃逸量;分析喷氨校准模型的输出结果,对理论喷氨量进行校准,对喷氨分区进行智能控制,本发明所述方法中的数据采集技术、加权平均技术、加权求和技术、数据校准技术、多元线性回归算法与现代信息技术紧密结合,显著增强了基于多目标优化的喷氨分区智能控制过程中的智能化程度。
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