【摘要】：為了提高城市供水管網(wǎng)水質(zhì)監(jiān)測系統(tǒng)的污染檢測能力,利用污染物所引起多個指標(biāo)變化之間的關(guān)聯(lián)特性,提出基于多常規(guī)水質(zhì)指標(biāo)動態(tài)關(guān)聯(lián)分析的水質(zhì)異常檢測方法.應(yīng)用動態(tài)時間規(guī)整算法(DTW)衡量多個常規(guī)水質(zhì)指標(biāo)時間序列間的動態(tài)距離,刻畫各指標(biāo)波動的相似程度和動態(tài)關(guān)聯(lián)特性.利用D-S證據(jù)理論融合各指標(biāo)單獨(dú)的異常概率,將融合后得到的供水管網(wǎng)水質(zhì)異常概率與所設(shè)定的多指標(biāo)融合異常概率閾值進(jìn)行比較,作出當(dāng)前時刻水質(zhì)是否存在水質(zhì)異常的綜合判斷.依托課題組模擬供水管網(wǎng)實(shí)驗(yàn)系統(tǒng),設(shè)計(jì)不同濃度的硫酸銅和鐵氰化鉀污染物的注入實(shí)驗(yàn),利用在線監(jiān)測的pH值、濁度、余氯、溶解氧等8種常規(guī)水質(zhì)指標(biāo)進(jìn)行動態(tài)關(guān)聯(lián)分析和水質(zhì)異常檢測,方法的可行性和異常檢測性能通過受試者工作特征曲線(ROC)進(jìn)行驗(yàn)證.
[Abstract]:In order to improve the pollution detection ability of the water quality monitoring system of urban water supply network, a water quality anomaly detection method based on dynamic correlation analysis of multiple conventional water quality indexes is proposed. Dynamic time warping algorithm (DTW) is used to measure the dynamic distance between time series of several conventional water quality indexes and to characterize the similarity degree and dynamic correlation characteristics of each index fluctuation. The D-S evidence theory is used to fuse the abnormal probability of each index, and the abnormal probability of water quality of water supply network is compared with the threshold value of multi-index fusion anomaly probability. Make a comprehensive judgment on whether the water quality is abnormal at the present time. Based on the experimental system of water supply network simulated by the research group, the injection experiment of different concentrations of copper sulfate and potassium ferricyanide was designed, and the pH value, turbidity, residual chlorine of on-line monitoring were used. Eight kinds of conventional water quality indexes, such as dissolved oxygen, were analyzed by dynamic correlation analysis and water quality anomaly detection. The feasibility and performance of the method were verified by the operating characteristic curve (ROC) of the subjects.
【作者單位】： 浙江大學(xué)工業(yè)控制技術(shù)國家重點(diǎn)實(shí)驗(yàn)室;
【基金】：國家自然科學(xué)基金資助項(xiàng)目(61573313;U1509208) 浙江省科技廳公益資助項(xiàng)目(2014C33025) 浙江省重點(diǎn)研發(fā)計(jì)劃資助項(xiàng)目(2015C03G2010034)
【分類號】：X832
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本文編號：2163474