Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
GIS settlement prediction method and early warning system
The invention belongs to the technical field of settlement monitoring, and particularly relates to a GIS settlement prediction method and an early warning system. The method comprises the following steps: S1, acquiring settlement monitoring data through a settlement monitoring system; s2, inputting the settlement monitoring data obtained in S1 into a trained settlement prediction model to obtain settlement prediction data; the settlement prediction model comprises a prediction model which takes GIS settlement data collected by a settlement monitoring system in a set time period as input and takes a GIS settlement trend actually measured within a certain time period after the set time period as output; the settlement prediction data comprises the GIS settlement trend. According to the method, the relationship between the GIS historical settlement data and the GIS settlement data at the future moment is determined by establishing the settlement prediction model, the settlement data at the future moment is predicted through the historical settlement data, advanced prediction of GIS settlement is achieved, and settlement early warning is conducted according to the output result of the settlement prediction model. The GIS settlement early warning method and device solve the technical problem that in the prior art, advanced prediction of GIS settlement cannot be achieved, and settlement early warning is not timely.
本发明属于沉降监测技术领域，具体涉及一种GIS沉降预测方法及预警系统。该方法包括：S1、通过沉降监测系统获取沉降监测数据；S2、将S1获取的沉降监测数据输入到训练好的沉降预测模型，得到沉降预测数据；沉降预测模型包括以设定时间段沉降监测系统采集的GIS沉降数据为输入、以设定时间段后的一定时间内实际测量的GIS沉降趋势为输出的预测模型；沉降预测数据包括GIS沉降趋势。本发明通过建立沉降预测模型确定GIS历史沉降数据与GIS未来时刻沉降数据的关系，以通过历史沉降数据预测未来时刻的沉降数据，实现GIS沉降的超前预测，根据沉降预测模型的输出结果进行沉降预警。本发明解决了现有技术中无法实现对GIS沉降的超前预测，使得沉降预警不及时的技术问题。
GIS settlement prediction method and early warning system
The invention belongs to the technical field of settlement monitoring, and particularly relates to a GIS settlement prediction method and an early warning system. The method comprises the following steps: S1, acquiring settlement monitoring data through a settlement monitoring system; s2, inputting the settlement monitoring data obtained in S1 into a trained settlement prediction model to obtain settlement prediction data; the settlement prediction model comprises a prediction model which takes GIS settlement data collected by a settlement monitoring system in a set time period as input and takes a GIS settlement trend actually measured within a certain time period after the set time period as output; the settlement prediction data comprises the GIS settlement trend. According to the method, the relationship between the GIS historical settlement data and the GIS settlement data at the future moment is determined by establishing the settlement prediction model, the settlement data at the future moment is predicted through the historical settlement data, advanced prediction of GIS settlement is achieved, and settlement early warning is conducted according to the output result of the settlement prediction model. The GIS settlement early warning method and device solve the technical problem that in the prior art, advanced prediction of GIS settlement cannot be achieved, and settlement early warning is not timely.
本发明属于沉降监测技术领域，具体涉及一种GIS沉降预测方法及预警系统。该方法包括：S1、通过沉降监测系统获取沉降监测数据；S2、将S1获取的沉降监测数据输入到训练好的沉降预测模型，得到沉降预测数据；沉降预测模型包括以设定时间段沉降监测系统采集的GIS沉降数据为输入、以设定时间段后的一定时间内实际测量的GIS沉降趋势为输出的预测模型；沉降预测数据包括GIS沉降趋势。本发明通过建立沉降预测模型确定GIS历史沉降数据与GIS未来时刻沉降数据的关系，以通过历史沉降数据预测未来时刻的沉降数据，实现GIS沉降的超前预测，根据沉降预测模型的输出结果进行沉降预警。本发明解决了现有技术中无法实现对GIS沉降的超前预测，使得沉降预警不及时的技术问题。
GIS settlement prediction method and early warning system
一种GIS沉降预测方法及预警系统
REN BINGXU (Autor:in) / QIN KAI (Autor:in) / GUO BO (Autor:in) / GUO YANBO (Autor:in) / WANG WENCAI (Autor:in) / LIU CHONGYUE (Autor:in) / DU YONGHENG (Autor:in) / WANG FEI (Autor:in) / WANG HESHENG (Autor:in) / YAN YAGANG (Autor:in)
24.12.2024
Patent
Elektronische Ressource
Chinesisch
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