大坝监测自动化系统智能化技术研究
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叶红(1974-),女,福建福清人,高级实验师,高级工程师,研究方向:水工监测及测量。E-mail:78410416@qq.com

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TV698.1

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国家重点研究计划(2018YFC0406906)


Research on intelligent technology of dam monitoring automation system
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    摘要:

    在总结实际工程项目实施经验的基础上,提出大坝安全监测自动化系统智能化提升技术。通过对温度、湿度、进水、门禁、功耗、供电、通信链路、地震等系统中测站现场环境,及数据采集设备运行状态等参数的监测,结合数据采集装置的自主智能化技术改进,如实现低功耗、智能通用化、前端数据判断、通道保护及电源管控等,利用中心数据采集计算机软件数理统计方法对监测数据进行质量及缺失情况分析,智能推断故障设备等,多效并举,可有效提高大坝安全监测自动化系统的智能化水平,保障自动化监测系统的稳定性、可靠性和运维效率。

    Abstract:

    Based on the experience of project implementation, the intelligent upgrading technology of dam safety monitoring automation system is proposed. It can monitor the data, running starts and parameters of the environment and data acquisition equipment in parameters in site of the measuring stations of the system, such as temperature, humidity, inlet water, access control, power consumption, power supply, communication link, earthquake, etc. Combined with independent intelligent improvement of data acquisition device, such as low power consumption, intelligent generalization, front-end data judgment, channel protection and power control, etc., and using the central data collection computer software mathematical statistics method to monitor the data quality and missing analysis, as well as identify faulty equipment intelligently, through the above method, the intelligent level of dam safety monitoring automation system can be effectively improved to promote system stability and operation maintenance efficiency.

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叶红,陆纬,陈龙,等.大坝监测自动化系统智能化技术研究[J].水利信息化,2020(2):42-47.

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  • 收稿日期:2019-07-26
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  • 在线发布日期: 2023-07-07
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