从松花江水中分离出黏液形成菌N1,形态学及生理生化指标鉴定其为微球菌属.利用污垢形成动态模拟实验装置,进行污垢热阻在线监测及传热特性分析,结果表明:在恒定工况下[水温30℃,流速0.4m·s-1,微生物浓度(7.0×106)～(2.2×1010) cfu· m1-1],不锈钢管的微生物污垢诱导期为57 h左右,而铜管的微生物污垢诱导期较不锈钢管长.分别以缩放管及不锈钢管作为管材进行对比实验,结果显示:水流速度对微生物污垢形成具有一定影响,即变化的流速能够延长微生物污垢诱导期.在装置运行过程中,定期检测多个水质参数,包括pH值、电导率、细菌总数、总氮、COD等,并利用灰色关联算法分析了各水质参数与微生物污垢关联的权重比例,从而为微生物污垢预测及制定有效的防垢、抑垢和除垢对策提供了理论依据.%A slime-forming bacterial strain N1 was isolated and purified from the Songhua River. According to the morphological observation as well as the physiological and biochemical indexes, the strain was identified as Micrococcus. Under certain experimental condition (water temperature 30℃ , flow velocity 0. 4 m ·s-1 and microorganism concentration between 7. 0 × 106 cfu ·ml-1 and 2. 2 × 1010 cfu · ml-1 ), the fouling resistance was monitored online in an experimental device for dynamic simulation of forming fouling, and the heat transfer characteristics were analyzed. The induction period of microbial fouling in the stainless steel tube was about 57 h, which was shorter than that in the copper tube. In the contrast experiment with converging-diverging tube, it was found that flow velocity had certain influence on the formation of microbial fouling. The change of flow velocity could prolong the induction period of microbial fouling. During the dynamic experiment, many water quality parameters including pH, conductivity, total bacterial count, total nitrogen and COD were detected periodically. Based on the grey relational algorithm, the correlation for water quality parameters and microbial fouling was analyzed, which provides a theoretical basis for predicting the microbial fouling and selecting the effective measures for scale removal.
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