【摘要】 焦炉煤气脱硫是焦化工业实现绿色可持续发展的关键环节，其效率直接影响煤气质量与污染物排放水平。双核酞菁钴磺酸铵(PDS)作为HPF(Hydroquinone-PDS-Ferrous sulfate)法脱硫工艺的核心催化剂，其浓度监测对于工艺优化至关重要。针对传统检测方法存在的灵敏度不足、人工操作繁琐及抗干扰能力弱等问题，本研究开发了一套基于分光光度法的全流程自动化分析装置及方法，填补了PDS自动化检测领域的技术空白。经系统性性能验证，该自动分析仪展现出优异的灵敏度和宽线性范围，且与行业标准方法对比结果一致。并依托可编程逻辑控制器(PLC)实现从样品预处理到数据反馈的全流程自动化，突破了传统人工操作中样品处理滞后、人为误差引入等局限性，显著提升了复杂工业基质中PDS浓度监测的灵敏度与时效性。该方法具有环境友好、成本低等优势，为焦化工业提供了关键的技术支持。更多还原

【Abstract】 Desulfurization of coke oven gas(COG) is a critical step for achieving green and sustainable development in the coking industry. Ammonium binuclear cobalt phthalocyanine sulfonate(PDS), serving as the core catalyst in the Hydroquinone-PDSFerrous sulfate(HPF) desulfurization process, requires precise concentration monitoring for process optimization. To address the limitations of traditional detection methods, including insufficient sensitivity, cumbersome manual operations, and weak anti-interference capability, this study developed a fully automated analytical system and method based on spectrophotometry,thereby filling a technological gap in automated PDS detection. Systematic performance validation demonstrated that the autoanalyzer exhibits excellent sensitivity and a wide linear range, with results consistent with industrial standard methods.Leveraging a programmable logic controller(PLC), the system achieves end-to-end automation from sample pretreatment to data feedback, overcoming limitations inherent in manual operations such as delayed sample processing and human-induced errors, which significantly enhances the sensitivity and timeliness of PDS concentration monitoring in complex industrial matrices. The proposed method offers triple benefits of environmental friendliness, cost-effectiveness, and social value,providing key technical support for the coking industry.更多还原