Abstract:A typical high pressure water thermal descaling system and its working principle are introduced. The reciprocating plunger pump unit is core equipment in the system, thus the unit comprehensive performance is studied here. A comprehensive evaluation index system is built based on three aspects of the unit such as energy saving, reliability and safety to evaluate the performance of the unit. Base on analytic hierarchy process(AHP)and fuzzy method, a weight analysis approach for the factors in the performance comprehensive evaluation index system is established. Then the fuzzy membership degrees of the measured evaluation factors are investigated. On this basis, a mathematical model of comprehensive performance evaluation is proposed based on AHP and fuzzy method, and an evaluation method for comprehensive performance is developed. By using an example, the weights of the factors in the evaluation index system for the reciprocating plunger pump unit in a high pressure water descaling system are analysed, and the measured evaluation factors fuzzy membership degrees are calculated. The results of comprehensive performance are also analysed and the feasibility of this evaluation method is validated.
邵凤翔, 王新莉. 基于AHP的热态除鳞系统往复式柱塞泵装置性能模糊评价方法[J]. 排灌机械工程学报, 2016, 34(7): 597-602.
SHAO Fengxiang, WANG Xinli. Fuzzy evaluation method for performance of reciprocating plunger pump unit in high pressure water thermal descaling system based on AHP. Journal of Drainage and Irrigation Machinery Engin, 2016, 34(7): 597-602.
[1]赵志华,吴力. 往复泵故障智能诊断系统的设计[J]. 化工自动化及仪表, 2013, 40(6): 701-705. ZHAO Zhihua, WU Li. Design of intelligent fault diagnostic system for reciprocating pumps[J]. Control and instruments in chemical industry, 2013, 40(6): 701-705.(in Chinese)[2]王登峰,白鑫. 基于小波包分析和概率神经网络的往复泵的故障诊断研究[J]. 煤矿机械, 2013, 34(12): 256-258. WANG Dengfeng, BAI Xin. Study on fault diagnosis of reciprocating pump based on wavelet package analysis and probability neutral network[J]. Coal mine machi-nery, 2013, 34(12): 256-258.(in Chinese)[3]刘文才,陈铁. 基于灰色-神经网络的往复泵状态监测和趋势预测研究[J]. 中国安全生产科学技术, 2013, 9(1):79-84. LIU Wencai, CHEN Tie. Research on condition monitoring and trend prediction of reciprocating pump based on grey-neural network[J]. Journal of safety science and technology, 2013, 9(1):79-84.(in Chinese)[4]钟功祥,张洋,吕志忠,等. 往复泵液力端示功图法故障诊断[J]. 机械设计与研究, 2015, 31(5): 172-176. ZHONG Gongxiang, ZHANG Yang, LYU Zhizhong, et al. A fault diagnosis method based indicator diagram for reciprocating pump hydraulic end[J]. Machine design and research, 2015, 31(5): 172-176.(in Chinese)[5]杨成禹,喻依兆. 高压水除鳞技术的研究[J].冶金动力, 2010, 193(3):65-69. YANG Chengyu, YU Yizhao. Study of descaling technology by high pressure water[J]. Metallurgical power, 2010, 193(3): 65-69.(in Chinese)[6]喻峰,祝爽,李璐,等. 新型高压水除鳞喷嘴流场仿真与试验研究[J]. 机械设计与制造, 2014, 1:91-94. YU Feng,ZHU Shuang,LI Lu, et al. The flow-field simulation and experimental research of the new-type high-pressure water jet nozzle in descaling[J]. Machinery design & manufacture, 2014, 1:91-94.(in Chinese)[7]姚星星,王晓东. 基于层次分析法的高压隔膜泵安全的指标体系[J]. 武汉工程大学学报, 2015, 37(12):27-30. YAO Xingxing, WANG Xiaodong. Safety index system of high pressure diaphragm pump based on analytic hierarchy process[J]. Journal of Wuhan Institute of Technology, 2015, 37(12): 27-30.(in Chinese)[8]张利,张建军,任启乐,等. 基于BOM的产品概念设计方案求解技术[J]. 农业机械学报, 2007, 38(11):97-102. ZHANG Li, ZHANG Jianjun, REN Qile, et al. Scheme solving model for product conceptual design based on BOM[J]. Transactions of the CSAM, 2007, 38(11):97-102.(in Chinese)[9]何荣军,卢艳,王钧,等. 基于AHP模糊评价法在草菇蛋卷研制中的应用[J]. 浙江工业大学学报, 2015, 43(1):73-76. HE Rongjun, LU Yan, WANG Jun, et al. Application of fuzzy evaluation method based on AHP to the development of mushroom with eggs rolls[J]. Journal of Zhejiang University of Technology, 2015, 43(1):73-76.(in Chinese)[10]王凯,谭超,金静飞,等. 基于AHP和熵权法的刮板输送机系统模糊综合评价[J]. 制造业自动化, 2014, 36(4):105-108. WANG Kai, TAN Chao, JIN Jingfei, et al. Fuzzy comprehensive evaluation on the performance of scraper conveyor system based on AHP and entropy weight[J]. Manufacturing automation, 2014, 36(4):105-108.(in Chinese)[11]夏立荣,李润学,刘启玉,等. 基于动态层次分析的自适应多目标粒子群优化算法及其应用[J]. 控制与决策, 2015, 30(2):215-221. XIA Lirong, LI Runxue, LIU Qiyu, et al. An adaptive multi-objective particle swarm optimization algorithm based on dynamic AHP and its application[J]. Control and decision, 2015, 30(2):215-221.(in Chinese)[12]周祖德. 数字制造[M]. 北京:科学出版社, 2004.