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Rock mass grouting method and device based on artificial neural network, medium and equipment
The invention provides a rock mass grouting method and device based on an artificial neural network, a medium and equipment, and belongs to the technical field of artificial intelligence of geotechnical engineering. The rock mass grouting method based on the artificial neural network comprises the following steps: acquiring feature data of a rock mass to be grouted; inputting the feature data of the rock mass to be grouted into a preset artificial neural network model; the preset artificial neural network model performs data analysis on the feature data of the rock mass to be grouted to obtain grouting control parameters; and according to the grouting control parameters, an action instruction is sent to an execution element, so that the execution element executes the action of grouting the to-be-grouted rock mass until grouting of the to-be-grouted rock mass is completed. The rock mass grouting device based on the artificial neural network, the medium and the equipment can be used for realizing the rock mass grouting method based on the artificial neural network. The device, the method, the medium and the equipment are realized based on the artificial neural network model, human intervention can be reduced, the grouting cost is saved, and the grouting quality is improved.
本发明提供一种基于人工神经网络的岩体灌浆方法、装置、介质及设备,属于岩土工程的人工智能技术领域。该基于人工神经网络的岩体灌浆方法包括获取待灌浆岩体的特征数据;将待灌浆岩体的特征数据输入至预设人工神经网络模型;预设人工神经网络模型针对待灌浆岩体的特征数据,进行数据分析,得到灌浆控制参数;根据灌浆控制参数,向执行元件发出动作指令,使得执行元件执行向待灌浆岩体灌浆的动作,直至向待灌浆岩体灌浆完成。该基于人工神经网络的岩体灌浆装置、介质及设备能够用于实现该基于人工神经网络的岩体灌浆方法。该装置、方法、介质及设备基于人工神经网络模型而实现,能够减少人为干预、节约灌浆成本,并且,提高灌浆质量。
Rock mass grouting method and device based on artificial neural network, medium and equipment
The invention provides a rock mass grouting method and device based on an artificial neural network, a medium and equipment, and belongs to the technical field of artificial intelligence of geotechnical engineering. The rock mass grouting method based on the artificial neural network comprises the following steps: acquiring feature data of a rock mass to be grouted; inputting the feature data of the rock mass to be grouted into a preset artificial neural network model; the preset artificial neural network model performs data analysis on the feature data of the rock mass to be grouted to obtain grouting control parameters; and according to the grouting control parameters, an action instruction is sent to an execution element, so that the execution element executes the action of grouting the to-be-grouted rock mass until grouting of the to-be-grouted rock mass is completed. The rock mass grouting device based on the artificial neural network, the medium and the equipment can be used for realizing the rock mass grouting method based on the artificial neural network. The device, the method, the medium and the equipment are realized based on the artificial neural network model, human intervention can be reduced, the grouting cost is saved, and the grouting quality is improved.
本发明提供一种基于人工神经网络的岩体灌浆方法、装置、介质及设备,属于岩土工程的人工智能技术领域。该基于人工神经网络的岩体灌浆方法包括获取待灌浆岩体的特征数据;将待灌浆岩体的特征数据输入至预设人工神经网络模型;预设人工神经网络模型针对待灌浆岩体的特征数据,进行数据分析,得到灌浆控制参数;根据灌浆控制参数,向执行元件发出动作指令,使得执行元件执行向待灌浆岩体灌浆的动作,直至向待灌浆岩体灌浆完成。该基于人工神经网络的岩体灌浆装置、介质及设备能够用于实现该基于人工神经网络的岩体灌浆方法。该装置、方法、介质及设备基于人工神经网络模型而实现,能够减少人为干预、节约灌浆成本,并且,提高灌浆质量。
Rock mass grouting method and device based on artificial neural network, medium and equipment
基于人工神经网络的岩体灌浆方法、装置、介质及设备
JIA YANBO (Autor:in) / ZHU YUJIE (Autor:in) / WANG YAO (Autor:in) / ZHANG FAN (Autor:in) / LIU QIAN (Autor:in) / ZHANG YIHU (Autor:in) / HAN YISHI (Autor:in) / CHEN XIANLONG (Autor:in) / ZHAN CHENGYUAN (Autor:in) / LUO YI (Autor:in)
09.08.2024
Patent
Elektronische Ressource
Chinesisch
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