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作 者:徐明刚 韩士磊 李文 陈梦凡 XU Ming-gang;HAN Shi-lei;LI Wen;CHEN Meng-fan(Institute of Mechanical and Material Engineering,North China University of Technology,Beijing 100144,China)
机构地区:[1]北方工业大学机械与材料工程学院,北京100144
出 处:《中国给水排水》2022年第14期133-138,共6页China Water & Wastewater
摘 要:针对目前水质监测设备监测参数不够全面、监测周期长,以及设备维护成本高、维护时间长等问题,基于顺序注射分析技术(Sequential Injection Analysis,SIA),采用超声空化消解方法,集成故障诊断专家系统,设计了一种可实现温度(TEM)、酸碱度(pH)、浊度(TURB)、溶解氧(DO)、电导率(COND)、总磷(TP)、总氮(TN)、氨氮(NH-N)、化学需氧量(COD)等9项水质参数监测的快速监测设备。试验结果表明,对TP、TN、NH-N和COD的检出限分别为0.01、0.05、0.01、20μg/mL。测定结果的相对标准偏差(RSD)分别为0.56%~1.94%、1.65%~1.96%、0.62%~1.92%、1.32%~2.92%,准确度分别为-3.41%~-1.15%、-3.27%~1.19%、-0.63%~2.12%、0.60%~3.65%。故障诊断专家系统能够对水质监测过程中的故障源进行精准定位。该系统对于缩短水质监测时间、降低设备维护成本、简化水质检测过程具有重要意义。At present,water quality monitoring equipment has the problems of limited monitoring parameters,long monitoring period,high maintenance cost and long maintenance time,etc.A rapid monitoring equipment based on sequential injection analysis(SIA)technology,ultrasonic cavitation digestion method and fault diagnosis expert system was used to realize nine water quality parameters monitoring,including temperature(TEM),power of hydrogen(pH),turbidity(TURB),dissolved oxygen(DO),electrical conductivity(COND),total phosphorus(TP),total nitrogen(TN),ammonia nitrogen(NH-N)and chemical oxygen demand(COD).The minimum detection limits of TP,TN,NH-N and COD were0.01,0.05,0.01 and 20μg/mL,respectively.The relative standard deviations(RSD)were 0.56%-1.94%,1.65%-1.96%,0.62%-1.92%and 1.32%-2.92%,respectively,and the accuracy were-3.41%--1.15%,-3.27%-1.19%,-0.63%-2.12%and 0.60%-3.65%,respectively.The fault diagnosis expert system could accurately locate the fault source in the process of water quality monitoring.This system is of great significance to shorten the water quality monitoring time,reduce the equipment maintenance costs,and simplify the water quality testing process.
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