CLASSIFICATION MODEL FOR CONTROLLING A MANUFACTURING PROCESS

The invention is directed to controlling a manufacturing process by a computer-generated classification model. This is combined with a reward system based on a distributed ledger and smart contracts. The classification model is trained by the following steps: providing data entities being indicative...

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Bibliographische Detailangaben
Hauptverfasser: REITINGER AXEL, GRAICHEN ANDREAS, OTT CHRISTIAN, LINDSTAM JOHAN, GALABOV FILIP
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention is directed to controlling a manufacturing process by a computer-generated classification model. This is combined with a reward system based on a distributed ledger and smart contracts. The classification model is trained by the following steps: providing data entities being indicative of a property of a manufacturing of a product; acquiring labels for each of the data entities from an agent; determining labeling metrics based on the acquiring of the agent training the classification model, with the training set comprising the data entities and their labels; validating the trained classification model yielding a classifier score; training a labeling score model based on the data entities, the respective labels, the labeling metrics and the classifier score; determining a labeling score for the agent based on the labeling score model, the labels and the set of labeling metrics. 本发明涉及由计算机生成的分类模型控制制造过程。这与基于分布式账本和智能合约的奖励系统组合。分类模型是通过以下步骤来训练的:提供指示产品的制造的性质的数据实体。从代理获取针对数据实体中的每一个的标签。基于代理的获取来确定加标签度量。训练分类模