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APPARATUS, SYSTEM AND METHOD FOR DEVELOPING INDUSTRIAL PROCESS SOLUTIONS USING ARTIFICIAL INTELLIGENCE

机译:使用人工智能开发工业过程解决方案的设备,系统和方法

摘要

An apparatus, system and method of providing industrial analytics. The apparatus, system and method include at least a plurality of sensors sensing performance indicators for an industrial process across multiple nodes, wherein ones of the multiple nodes are remote from each other; at least one machine learning module comprising non-transitory computing code executed by a processor. When executed by the processor, the code causes the steps of: receiving user input regarding at least the industrial process and a data set; selecting a model based on at least the user input, wherein the selected model comprises a plurality of learnings based on the performance indicators sensed by multiple sensors across at least multiple ones of the multiple nodes; applying the selected model to the data set; assessing at least the performance indicators for the data set upon application of the selected model; and outputting the assessed performance indicator.
机译:提供工业分析的装置,系统和方法。该设备,系统和方法包括至少多个传感器,该多个传感器感测跨多个节点的工业过程的性能指标,其中多个节点中的一个彼此远离。至少一个机器学习模块,其包括由处理器执行的非暂时性计算代码。当由处理器执行时,代码导致以下步骤:至少接收有关工业过程和数据集的用户输入;以及至少基于用户输入来选择模型,其中,所选择的模型包括基于跨多个节点中的至少多个节点的多个传感器感测的性能指标的多个学习;将所选模型应用于数据集;应用所选模型时,至少评估数据集的性能指标;并输出评估的绩效指标。

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