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Method of detecting waste supply abnormality, waste supply control method, waste supply abnormality detection device and waste supply control device

机译:检测废料供应异常,废水供应控制方法,废水异常检测装置和废料供应控制装置的方法

摘要

Problem to be solved.A waste supply abnormality detection deviceAt least one of the measurements related to the combustion state of the waste and the operating conditions of the waste incineratorAs a predictive factor for predicting the stagnation of waste supplyAs the explanatory variable, the above described predictive factor for a predetermined period of time from the previous time to the reference timeThe predicted vapor generation rate, which is the amount of steam generation at the prediction time of the future, is the target variable.Multiple regression analysisDecision treePrediction model using random forest and deep learningThe learning part 45 which learns the result value of explanatory variables and object variablesThe data of the explanatory variables are input as the current time to the prediction model to be learned.A prediction part 41a for obtaining the predicted vapor generation quantity andThe difference calculating section 41b calculates the difference of the steam generation quantity by subtracting the predicted steam generation quantity from the steam generation amount in the past time from the prediction time andBased on the difference, there is provided a detecting portion 41c for detecting presence or absence of abnormality in the waste supply.Diagram
机译:要解决的问题。废物供应异常检测防析液中的至少一个与废物燃烧状态有关的测量和废物焚烧毒剂的操作条件是预测废物供应停滞的预测因素解释性变量,以上描述的预测性从前一段到前一次到参考时段的因子预测蒸汽产生速率,这是未来预测时间的蒸汽生成的量,是使用随机森林和深度的目标变量。使用回归分析DreatePriction模型学习学习的学习部分45,其学习解释变量的结果值和解释变量的数据被输入为要学习的预测模型的当前时间。用于获得预测的蒸汽产生量和差值计算部分41b的预测部分41a计算蒸汽的差异通过从预测时间中从蒸汽生成量减去预测的蒸汽生成量,从预测时间中减去差异,提供了一种检测部分41c,用于检测废物供应中的异常存在或不存在.diagram

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