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作 者:孙大东 吴西 Sun Dadong;Wu Xi(Dalian University of Finance and Economics,Dalian 116000,China)
机构地区:[1]大连财经学院,辽宁大连116000
出 处:《农机化研究》2024年第4期207-210,共4页Journal of Agricultural Mechanization Research
基 金:教育部高等教育产学合作协同育人项目(202102141001)。
摘 要:为了充分发挥水利泵站的利用效益,对水利泵站进行数字化信息管理,并对水利泵站的计算机自动化和远程监控系统进行了应用研究。远程控制系统主要由控制中心、远程管理模块、网络传输系统、模拟量采集模块、继电器控制模块和数据库。为了充分利用水利泵站的自动化和远程监控系统,缩短维修时间,借助人工神经网络模型,通过对作业过程中的监测数据进行管理、分析和评估,预测水利泵站的作业状态。为了验证水利泵站自动化监控系统的性能,对其进行调试和作业状态预测试验,结果表明:系统可以正常运行,且可准确预测水利泵站的运行状态。To give full play to the utilization benefit of water conservancy pump station and manage the digital information of water conservancy pump station,the computer automation and remote monitoring system of water conservancy pump station was studied.The system was constituted of control center,remote management module,network transmission system,analog acquisition module,relay control module and database.To make full use of the automation and remote monitoring system of water conservancy pump station,shorten the maintenance time and optimize the maintenance,the operation state of water conservancy pump station was predicted by using the artificial neural network model and managing,analyzing and evaluating the monitoring data in the operation process.To verify the performance of the automatic monitoring system of the hydraulic pumping station,the adjustment test and operation state prediction test were carried out.The test result shows that the system could run normally,and could predict the running state of water conservancy pump station accurately.
关 键 词:水利泵站 计算机自动化 远程监控系统 人工神经网络模型 状态预测
分 类 号:S274.2[农业科学—农业水土工程]
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