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王 茂, 张钰奇, 王童童, 张 聪, 郑艳萍.水工机械装备系统监测点传感器优化分配研究水资源与水工程学报[J].,2021,32(3):145-150
水工机械装备系统监测点传感器优化分配研究
Optimal allocation of sensors at the monitoring points of hydraulic machinery and equipment systems
  
DOI:10.11705/j.issn.1672-643X.2021.03.20
中文关键词:  水工机械装备  弧形闸门  启闭机  模糊层次分析法  监测点优化分配
英文关键词:hydraulic machinery and equipment  radial gate  hoist  fuzzy analytic hierarchy process (FAHP)  optimal allocation of monitoring points
基金项目:国家工信部智能制造综合标准化与新模式应用项目(2018037); 河南省水利厅水利科技攻关项目(GG202068)
作者单位
王 茂1,2, 张钰奇1,2, 王童童1,2, 张 聪1,2, 郑艳萍1 (1.郑州大学 机械与动力工程学院 河南 郑州 450001 2.河南省智能制造研究院 河南 郑州 450001) 
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中文摘要:
      监测水工机械装备系统的运行状态对水利设施发挥防洪、灌溉、水资源调度等功能具有重要意义。针对现有监测方案往往只针对单一传感器或单一结构,缺乏对整体系统监测点传感器优化分配方案研究的问题。依据典型水工弧形闸门及启闭机设备常见故障类型构建层次模型,建立其监测点传感器优化分配评价指标,采用模糊层次分析法(FAHP)对指标赋权,最终确定水工机械装备系统监测点传感器优化分配方案。结果表明:所提方案适用于水工机械装备系统的监测点传感器分配的应用场景,为水工机械装备系统结构健康监测提供理论依据,避免系统整体传感器布局的盲目性,相比传统传感器优化布置方案具有一定的全局性与可行性。
英文摘要:
      Water conservancy facilities play an important role in the flood control, irrigation and water resources scheduling, monitoring the operating status of the hydraulic machinery and equipment systems in these facilities is of great significance. Currently, the existing monitoring schemes usually target at a single sensor or a single structure, lacking of the research on the optimal allocation of sensors at the monitoring points of the overall system. Here, we constructed a hierarchical model based on the common fault types of typical hydraulic radial gates and hoists. With this model, evaluation indices of the optimal allocation of monitoring point sensors were discussed, and then their individual weights were assigned using the fuzzy analytic hierarchy process (FAHP), finally the optimal allocation scheme of sensors at the monitoring points of the hydraulic machinery and equipment system was determined. The results show that the proposed scheme is suitable for the application scenario of sensor allocation at monitoring points of the hydraulic machinery and equipment system. This study can provide a theoretical basis for the structural health monitoring of hydraulic machinery and equipment systems. The proposed scheme can avoid blindness in the overall sensor layout of the system, it is more holistic and feasible compared to the conventional schemes.
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