数据可视技术在1000 MW机组高加水位波动分析中的应用  

Application of data visualization technology in analysis of level variation of HP Heater of 1000 MW supercritical unit

作　　者：徐科[1] 韦康[1] 唐桦[1] 陈斌 李峥磊 刘建东 杜洋洋 XU Ke;WEI Kang;TANG Hua;CHEN Bin;LI Zhenglei;LIU Jiandong;DU Yangyang(Shanghai Waigaoqiao No.3 Power Plant Co.,Ltd.,Shanghai 200137,China)

机构地区：[1]上海外高桥第三发电有限责任公司,上海200137

出　　处：《能源环境保护》2022年第2期15-21,共7页Energy Environmental Protection

摘　　要：针对上海外高桥第三发电有限责任公司#8机组六号高压加热器在低负荷工况的水位波动问题,利用Python的Pandas模块将厂级信息监控系统(SIS)中10年的运行数据按照年份分组并进行可视化处理,通过水位、进水温度、出水温度、疏水温度等参数的变化趋势分析了六号高加水位的变化规律。结果表明:疏水温度、进水温度是影响液位波动的主要因素,进水温度过高是低负荷工况下高加水位波动的主要原因。为有效解决低负荷工况下的六号高加水位波动问题,建议在实际运行中减少给水泵入口的热源引入以降低进水温度。In order to study the level variation of No.6 HP(high pressure)Heater in Unit 8 during low load in the Shanghai WaiGaoQiao No.3 Power Plant,the Pandas module of Python was introduced to group and visualize the 10-year operation data from supervisory information system(SIS)in plant level.The variation law of water level of No.6 HP Heater was analyzed based on the variation trends of parameters such as water level,inlet temperature,outlet temperature,and drainage temperature.The results showed that the drainage temperature and inlet temperature were the main factors affecting water level fluctuation.The increased inlet water temperature was the main reason of water level fluctuation under low load.In order to effectively solve the problem of water level fluctuation under low load conditions,it was suggested to reduce the introduction of heat at the inlet of feed pump during operation to reduce the inlet temperature.

关 键 词：数据可视化技术 高加 疏水温度 进水温度 水位波动 PANDAS 

分 类 号：X773[环境科学与工程—环境工程]