Automated analysis method and device for PDS catalyst in HPF process

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-PDS-Ferrous 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.