长江科学院院报 ›› 2020, Vol. 37 ›› Issue (2): 174-178.DOI: 10.11988/ckyyb.20181197

• 信息技术应用 • 上一篇    

基于SPC理论的灌浆压力网络监测报警系统

李斌1, 郭亮2, 刘双华1, 詹程远2, 贾宝良2   

  1. 1.河北丰宁抽水蓄能有限公司,河北 丰宁 068350;
    2.长江科学院 武汉长江仪器自动化研究所有限公司,武汉 430010
  • 收稿日期:2018-11-07 出版日期:2020-02-01 发布日期:2020-04-09
  • 通讯作者: 郭 亮(1984-),男,湖北武汉人,工程师,主要从事水利信息化研究。E-mail:413403769@qq.com
  • 作者简介:李 斌(1989-),男,山东潍坊人,工程师,硕士,主要从事抽水蓄能电站建设管理。E-mail:245414454@qq.com
  • 基金资助:
    国网新源控股有限公司华北地区科技项目(fngcKJ[016]41号)

Network Monitoring and Alarming System for Grouting Pressure Based on SPC Theory

LI Bin1, GUO Liang2, LIU Shuang-hua1, ZHAN Cheng-yuan2, JIA Bao-liang2   

  1. 1.Hebei Fengning Pumped Storage Co., Ltd., Fengning 068350, China;
    2.Yangzte River Instrument Automation Research Department, Yangzte River Scientific Research Institute, Wuhan 430010, China
  • Received:2018-11-07 Online:2020-02-01 Published:2020-04-09

摘要: 为了解决灌浆压力控制中传统的阈值压力报警方式存在误报且多为抬动发生后才进行报警的问题,以灌浆施工中存在大量的趾板帷幕灌浆的河北丰宁抽水蓄能电站(一期)为例,运用统计过程控制(SPC)理论,开发了基于SPC理论的灌浆压力网络监测报警系统。该系统通过对灌浆压力值进行采样监测,识别样本点位置及其变化趋势,依据统计过程控制形成压力控制图,并结合灌浆过程设定不同阶段压力判定规则,从而实现灌浆压力的监测、报警与预测。结果表明:相对于传统的压力阈值报警系统,该系统的报警用时降低了25%,报警有效率提高了8%;采用SPC+阈值报警算法进行灌浆压力监测报警,能够提前预判异常信息,便于工程参建方进行灌浆过程管理和控制。研究成果可为将SPC算法应用于其他工程参数的管控提供参考。

关键词: 灌浆压力监测, 统计过程控制, 趾板灌浆, 压力阈值报警, 丰宁抽水蓄能电站

Abstract: In grouting pressure control, traditional alarming based on pressure threshold is sometimes erroneous and delayed. In view of this, a network monitoring alarming system for grouting pressure is developed based on the theory of Statistical Process Control (SPC). Fengning pumped storage power plant (stage I) in Hebei Province with a large amount of toe plate curtain grouting is taken as a case study. The system identifies the position of sampling points and the pressure change trend by monitoring the grouting pressure value through sampling and generates pressure control diagrams based on SPC. Moreover, different pressure judgment criteria for different stages of grouting are set. Hence, the monitoring, alarming, and prediction of grouting pressure can be accomplished. Compared with traditional pressure threshold alarming, the present system reduced the time-consumption of alarming by 25% while promotes the alarming efficiency by 8%. By integrating SPC and threshold algorithm, we could identify abnormal information in advance, favorable for grouting management and control.

Key words: grouting pressure monitoring, Statistical Process Control, toe plate grouting, pressure threshold alarming, Fengning pumped storage power station

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