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基于PLC和组态反馈技术的高压电气设备运维自动控制

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高压电气设备电压频繁波动,导致西门子、和利时等主流DCS的底层控制器积累了大量随机冗余数据,运维人员需要更加密切地监测设备的运行状态数据.同时,设备故障、电网波动以及多变的外部因素相互叠加,造成监控数据量激增,进一步增加了自动监测的难度和工作量.为此,提出一种基于PLC和组态反馈技术的高压电气设备运维自动控制方法.设计一种组态反馈技术对高压电气设备运维过程中的实时运维数据展开挖掘,结合四分位数算法与滑动窗口,对数据挖掘结果展开分段检测,有效识别并剔除异常数据点,保证数据挖掘质量,解决传统被动监测的难题.将传统PID控制算法作为辅助工具,建立PLC电气设备运维控制器.通过理想控制电压参数与实际运维参数之间的自适应逼近,实现对高压电气设备运维的自动控制.为了进一步提升控制性能,引入积分误差算法,避免控制器的超调问题.实验结果表明,所提方法能够准确挖掘出高压电气设备运维中的实时电压数据.在引入组态反馈技术后,故障检测效能显著提升,不仅优化了传统监测手段,还显著增强了高压电气设备的稳定运维控制能力,使得控制效果达到了更优水平.
Automatic Control of Operation and Maintenance of High Voltage Electrical Equipment Based on PLC and Configuration Feedback Technology
Frequent voltage fluctuations in high-voltage electrical equipment have led to the accumulation of a large amount of random redundant data in the underlying controllers of mainstream DCS such as Siemens and Hollysys.Maintenance personnel need to more closely monitor the operating status data of the equipment.At the same time,equipment failures,power grid fluctuations,and constantly changing external factors overlap,resulting in a surge in monitoring data volume,further increasing the difficulty and workload of automatic monitoring.Therefore,a high-voltage electrical equipment operation and maintenance automatic control method based on PLC and configuration feedback technology is proposed.A configuration feedback technology is designed to mine real-time operation and maintenance data of high-voltage electrical equipment during the operation and maintenance process.Combining quartile algorithm and sliding window,segment detection is carried out on the data mining results to effectively identify and eliminate abnormal data points,ensure the quality of data mining and solve the problems of traditional passive monitoring.Using traditional PIDcontrol algorithm as an auxiliary tool,a PLC electrical equipment maintenance controller is established.By adaptively approximating the ideal control voltage parameters with the actual operation and maintenance parameters,automatic control of high-voltage electrical equipment operation and maintenance can be achieved.In order to further improve control performance,an integral error algorithm is introduced to avoid overshoot problems in the controller.The experimental results show that the proposed method can accurately mine real-time voltage data in the operation and maintenance of high-voltage electrical equipment.After introducing configuration feedback technology,the fault detection efficiency has been significantly improved,not only optimizing traditional monitoring methods,but also significantly enhancing the stable operation and control capabilities of high-voltage electrical equipment,resulting in a better level of control efficacy.

PID control algorithmhigh voltage electrical equipmentdata visualization miningconfiguration feedback technologyquartile algorithmsliding windowintegral error algorithm

方小明、刘艳梨、田大海

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江苏安全技术职业学院,江苏徐州 232001

中国矿业大学,江苏徐州 232001

PID控制算法 高压电气设备 数据可视化挖掘 组态反馈技术 四分位数算法 滑动窗口 积分误差算法

2024

机械设计与研究
上海交通大学

机械设计与研究

CSTPCD北大核心
影响因子:0.531
ISSN:1006-2343
年,卷(期):2024.40(6)