阅读说明：本技术 一种用于在现场设备上部署和执行机器学习模型的方法 (Method for deploying and executing machine learning model on field device ) 是由 J.索勒加里多 C.克恩 I.科根 于 2018-03-01 设计创作，主要内容包括：一种用于在目标现场设备上部署机器学习模型(MLM)的方法,该方法包括以下步骤：基于机器学习模型自动生成源代码文件的集合,其中,源代码文件的集合适于根据目标现场设备的预定能力执行机器学习模型；使用特定于目标现场设备的工具链将生成的源代码文件转换为模型二进制文件；以及在目标现场设备的存储器中部署模型二进制文件。(A method for deploying a Machine Learning Model (MLM) on a target field device, the method comprising the steps of: automatically generating a set of source code files based on the machine learning model, wherein the set of source code files is adapted to execute the machine learning model according to a predetermined capability of the target field device; converting the generated source code file into a model binary file using a target field device-specific toolchain; and deploying the model binary file in a memory of the target field device.)