化学浆氯离子平衡智能调控系统构建与工业验证研究

Study on the Development and Industrial Validation of an Intelligent Control System for Cl⁻ Balance in Chemical Pulp

关键词:  Cl⁻平衡调控  智能预警系统  化学品流失控制  6σ管理  动态建模

Key Words:Cl⁻ balance regulation  intelligent early warning system  chemical loss control  Six Sigma management  dynamic modeling

摘要:本研究构建了基于6σ管理与智能物联技术的全流程氯平衡预警和控制体系。通过建立涵盖6个输入源（木片、芒硝、NaOH、清水、回用水、辅料）与5个输出端（废灰水、浆料、浆渣、粗渣、绿泥、蒸发冷凝水）的氯离子（Cl⁻）动态平衡数学模型，研发基于区块链技术的物料地理信息系统（GIS）溯源平台，并融合多参数智能预警算法，构建“监测-评估-预警-调控”四位一体的闭环管理系统。工业验证表明，该系统应用于某制浆造纸企业后，碱回收系统的碱灰中Cl⁻含量由22.3 g/kg稳定控制至20.1 g/kg，碱灰处理系统中废灰水排放量自9.40 m³/h优化至8.55 m³/h，有效减少了碱炉的积灰，保持了更高的碱炉热效率，并降低了碱炉洗炉频次。

Abstract:This study established a comprehensive chlorine balance early warning and control system based on Six Sigma (6σ) management and intelligent IoT technology. By developing a dynamic equilibrium mathematical model for Cl⁻ involving six input sources (wood chips, mirabilite, NaOH, fresh water, recycled water, auxiliary materials) and five output categories (waste ash water, pulp, pulp residue, coarse residue, green mud, evaporation condensate), a blockchain-based material geographic information system (GIS) traceability platform was developed. Integrating multi-parameter intelligent early warning algorithms, a closed-loop management system featuring a four-in-one approach of “monitoring-assessment-early warning-regulation” was constructed. Industrial validation demonstrated that after implementation at a pulp and paper enterprise, Cl⁻ content in alkali ash from the recovery system stabilized at 20.1 g/kg (down from 22.3 g/kg), and waste ash water discharge from the alkali ash treatment system optimized from 9.40 m³/h to 8.55 m³/h, reducing alkali furnace ash accumulation. This minimized ash accumulation in the alkali furnace, maintained higher thermal efficiency, and decreased furnace cleaning frequency.