Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
一种基于TPOT的铣槽机施工地层识别方法
本发明公开了一种基于TPOT的铣槽机施工地层识别方法，其特征在于，包括以下步骤：S1，获取铣槽机的实时运行参数的数据；S2，对所述步骤S1中获取的运行参数的数据进行预处理，并对预处理后的样本数据人工标记地层标签；S3，将所述步骤S2中的样本数据输入TPOP生成地层识别算法流程，利用该算法流程训练出地层识别模型，将实时的铣槽机运行参数经过步骤S1的预处理后输入地层识别模型，识别出当下的地层类别。本发明具有工作状态下，达到实时掌握地层信息并完成识别功能的技术效果，可广泛应用于铣槽机施工技术领域。
The invention discloses a TPOT-based slot milling machine construction stratum identification method. The TPOT-based slot milling machine construction stratum identification method is characterized bycomprising the following steps of S1, obtaining data of real-time operation parameters of a slot milling machine; S2, preprocessing the data of the operation parameters obtained in the step S1, and manually marking stratum labels on the preprocessed sample data; and S3, inputting the sample data in the step S2 into a TPOP to generate a stratum identification algorithm flow, training a stratum identification model by utilizing the algorithm flow, inputting the real-time operation parameters of the slot milling machine into the stratum identification model after preprocessing in the step S1, and identifying the current stratum category. The TPOT-based slot milling machine construction stratum identification method has the advantages of achieving the technical effects of mastering stratum information in real time and completing the identification function in the working state, and can be widely applied to the technical field of slot milling machine construction.
一种基于TPOT的铣槽机施工地层识别方法
本发明公开了一种基于TPOT的铣槽机施工地层识别方法，其特征在于，包括以下步骤：S1，获取铣槽机的实时运行参数的数据；S2，对所述步骤S1中获取的运行参数的数据进行预处理，并对预处理后的样本数据人工标记地层标签；S3，将所述步骤S2中的样本数据输入TPOP生成地层识别算法流程，利用该算法流程训练出地层识别模型，将实时的铣槽机运行参数经过步骤S1的预处理后输入地层识别模型，识别出当下的地层类别。本发明具有工作状态下，达到实时掌握地层信息并完成识别功能的技术效果，可广泛应用于铣槽机施工技术领域。
The invention discloses a TPOT-based slot milling machine construction stratum identification method. The TPOT-based slot milling machine construction stratum identification method is characterized bycomprising the following steps of S1, obtaining data of real-time operation parameters of a slot milling machine; S2, preprocessing the data of the operation parameters obtained in the step S1, and manually marking stratum labels on the preprocessed sample data; and S3, inputting the sample data in the step S2 into a TPOP to generate a stratum identification algorithm flow, training a stratum identification model by utilizing the algorithm flow, inputting the real-time operation parameters of the slot milling machine into the stratum identification model after preprocessing in the step S1, and identifying the current stratum category. The TPOT-based slot milling machine construction stratum identification method has the advantages of achieving the technical effects of mastering stratum information in real time and completing the identification function in the working state, and can be widely applied to the technical field of slot milling machine construction.