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SEWAGE TREATMENT OPERATION STATUS EVALUATION DEVICE AND SEWAGE TREATMENT OPERATION STATUS EVALUATION METHOD

机译:污水处理运行状态评估装置及污水处理运行状态评估方法

摘要

To provide a sewage treatment operation status evaluation device and a sewage treatment operation status evaluation method, easy to be introduced, and possible to evaluate a sewage treatment operation status by accurately identifying microorganisms.SOLUTION: There is provided a sewage treatment operation status evaluation device that analyzes an input image obtained by imaging a microorganism living in a water treatment tank, and calculates which classification category the microorganism belongs to, for a sewage treatment facility where the microorganism purifies sewage stored in the water treatment tank, and evaluates an operation status of sewage treatment, the device including: a microbial feature learning unit 25 having machine learning equipment and configured to perform machine learning by inputting learning data including a learning image regarding the microorganism into the machine learning equipment, and create an identification parameter relating to identification of the microorganism; a microorganism identification unit 27 that calculates an identification category to which the microorganism belongs in the input image using the identification parameter; and an operation status evaluation unit 28 that evaluates an operation status of the sewage treatment based on an identification result in the microorganism identification unit 27.SELECTED DRAWING: Figure 2
机译:为了提供一种污水处理运行状态评估装置和一种污水处理运行状态评估方法,该方法易于引入,并且可以通过准确地识别微生物来评估污水处理运行状态。分析通过对生活在水处理池中的微生物进行成像而获得的输入图像,并针对其中微生物净化水处理池中的污水的污水处理设施计算微生物所属的分类类别,并评估污水的运行状态处理,该装置包括:具有机器学习设备的微生物特征学习单元25,并且被配置为通过将包括关于微生物的学习图像的学习数据输入到机器学习设备中来进行机器学习,并创建与微生物的识别有关的识别参数。有机体微生物识别单元27,使用该识别参数计算输入图像中的微生物所属的识别类别。运转状态评估单元28,其基于微生物识别单元27中的识别结果评估污水处理的运转状态。

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