Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Foundation pit dewatering treatment system and foundation pit dewatering treatment method based on artificial intelligence
The invention discloses a foundation pit dewatering treatment system which comprises an electric control device, and a graph convolutional neural network is stored in the electric control device. Each well point pipe and each recharge well are first nodes in graph structure data of the graph convolutional neural network, and each first node is internally provided with a water level detection device for monitoring the real-time water level in the first node; and each settlement monitoring station is used as a second node in the graph structure data of the graph convolutional neural network. The invention discloses a foundation pit dewatering processing method based on artificial intelligence. The method comprises a data acquisition step, a graph convolutional neural network training step, an expected reference water level distribution diagram obtaining step and a foundation pit dewatering processing system adjusting step according to the expected reference water level distribution diagram. According to the method, the graph convolutional neural network is re-fitted through the reference information constraint function, the value of the parameter to be fitted and the reference water level distribution graph are obtained, the current rainfall and recharge operation and the actual water level are guided to be in a constrained state, the working efficiency is guaranteed, and the safety of a building is guaranteed.
本发明公开了一种基坑降水处理系统，包括电控装置，电控装置中存储有图卷积神经网络；各井点管和各回灌井均为图卷积神经网络的图结构数据中的第一节点，各第一节点内分别设有用于监测第一节点内的实时水位的水位检测装置；各沉降监测站作为图卷积神经网络的图结构数据中的第二节点。本发明公开的基于人工智能的基坑降水处理方法包括数据采集步骤、训练图卷积神经网络步骤、获取预期参考水位分布图步骤和根据预期参考水位分布图调节基坑降水处理系统步骤。本发明通过参考信息约束函数对图卷积神经网络进行重新拟合，得待拟合参数的值和参考水位分布图，指导当前降水和回灌作业，实际水位处于受约束的状态，保证工作效率并保证建筑的安全。
Foundation pit dewatering treatment system and foundation pit dewatering treatment method based on artificial intelligence
The invention discloses a foundation pit dewatering treatment system which comprises an electric control device, and a graph convolutional neural network is stored in the electric control device. Each well point pipe and each recharge well are first nodes in graph structure data of the graph convolutional neural network, and each first node is internally provided with a water level detection device for monitoring the real-time water level in the first node; and each settlement monitoring station is used as a second node in the graph structure data of the graph convolutional neural network. The invention discloses a foundation pit dewatering processing method based on artificial intelligence. The method comprises a data acquisition step, a graph convolutional neural network training step, an expected reference water level distribution diagram obtaining step and a foundation pit dewatering processing system adjusting step according to the expected reference water level distribution diagram. According to the method, the graph convolutional neural network is re-fitted through the reference information constraint function, the value of the parameter to be fitted and the reference water level distribution graph are obtained, the current rainfall and recharge operation and the actual water level are guided to be in a constrained state, the working efficiency is guaranteed, and the safety of a building is guaranteed.
本发明公开了一种基坑降水处理系统，包括电控装置，电控装置中存储有图卷积神经网络；各井点管和各回灌井均为图卷积神经网络的图结构数据中的第一节点，各第一节点内分别设有用于监测第一节点内的实时水位的水位检测装置；各沉降监测站作为图卷积神经网络的图结构数据中的第二节点。本发明公开的基于人工智能的基坑降水处理方法包括数据采集步骤、训练图卷积神经网络步骤、获取预期参考水位分布图步骤和根据预期参考水位分布图调节基坑降水处理系统步骤。本发明通过参考信息约束函数对图卷积神经网络进行重新拟合，得待拟合参数的值和参考水位分布图，指导当前降水和回灌作业，实际水位处于受约束的状态，保证工作效率并保证建筑的安全。
Foundation pit dewatering treatment system and foundation pit dewatering treatment method based on artificial intelligence
基坑降水处理系统和基于人工智能的基坑降水处理方法
JIN JIPING (Autor:in) / SUN HUAIJUN (Autor:in) / HOU YANCHAO (Autor:in) / SU LIYAO (Autor:in) / WANG YONGQIANG (Autor:in) / MA ZHIGUO (Autor:in) / ZHOU YANPING (Autor:in) / MA WEIMIN (Autor:in) / MA SHUAI (Autor:in) / ZHANG HAILONG (Autor:in)
26.05.2023
Patent
Elektronische Ressource
Chinesisch
IPC:
E02D
FOUNDATIONS
,
Gründungen
/
E03B
Anlagen oder Verfahren zum Gewinnen, Sammeln oder Verteilen von Wasser
,
INSTALLATIONS OR METHODS FOR OBTAINING, COLLECTING, OR DISTRIBUTING WATER
/
G06N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
,
Rechnersysteme, basierend auf spezifischen Rechenmodellen
Foundation pit dewatering system and operating method of foundation pit dewatering system
| Europäisches Patentamt | 2020