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A platform for research: civil engineering, architecture and urbanism
Foundation pit safety early warning method based on multi-source monitoring data fusion
The invention discloses a foundation pit safety early warning method based on multi-source monitoring data fusion, and the method comprises the steps: firstly constructing a foundation pit safety evaluation index system, and obtaining an accumulated value and a change rate of a multi-source time sequence monitoring index; secondly, determining a foundation pit safety level identification framework, taking the multi-source time sequence monitoring data as different evidences, and performing normalization processing; then, according to the multi-source time sequence monitoring data, determining a basic probability distribution value in the recognition framework; respectively calculating the weight and the credibility of the multi-source monitoring indexes; and finally, fusing the multi-source monitoring data of the foundation pit to obtain a safety evaluation grade of the foundation pit. The method is characterized in that the importance of different monitoring indexes and the credibility of evidence are considered at the same time on the basis of fully utilizing the actually measured monitoring data of the foundation pit, the objectivity of the identification of the safety state of the foundation pit is ensured, the interference of subjective human factors is avoided, and the defects of the traditional D-S evidence theory can be effectively overcome.
本发明公开了一种多源监测数据融合的基坑安全预警方法，首先构建基坑安全评价指标体系，获取多源时间序列监测指标的累计值和变化速率；其次确定基坑安全等级识别框架，将多源时间序列监测数据作为不同证据并进行归一化处理；然后根据多源时间序列监测数据，确定识别框架中的基本概率分配值；接着分别计算多源监测指标的权重和可信度；最后对基坑多源监测数据进行融合，获得基坑安全评价等级。本发明的特点在于：在充分利用基坑实测监测数据的基础上，同时考虑了不同监测指标的重要性和证据的可信度，保证了基坑安全状态识别的客观性、避免了主观人为因素的干扰，能够有效克服传统D‑S证据理论的缺陷。
Foundation pit safety early warning method based on multi-source monitoring data fusion
The invention discloses a foundation pit safety early warning method based on multi-source monitoring data fusion, and the method comprises the steps: firstly constructing a foundation pit safety evaluation index system, and obtaining an accumulated value and a change rate of a multi-source time sequence monitoring index; secondly, determining a foundation pit safety level identification framework, taking the multi-source time sequence monitoring data as different evidences, and performing normalization processing; then, according to the multi-source time sequence monitoring data, determining a basic probability distribution value in the recognition framework; respectively calculating the weight and the credibility of the multi-source monitoring indexes; and finally, fusing the multi-source monitoring data of the foundation pit to obtain a safety evaluation grade of the foundation pit. The method is characterized in that the importance of different monitoring indexes and the credibility of evidence are considered at the same time on the basis of fully utilizing the actually measured monitoring data of the foundation pit, the objectivity of the identification of the safety state of the foundation pit is ensured, the interference of subjective human factors is avoided, and the defects of the traditional D-S evidence theory can be effectively overcome.
本发明公开了一种多源监测数据融合的基坑安全预警方法，首先构建基坑安全评价指标体系，获取多源时间序列监测指标的累计值和变化速率；其次确定基坑安全等级识别框架，将多源时间序列监测数据作为不同证据并进行归一化处理；然后根据多源时间序列监测数据，确定识别框架中的基本概率分配值；接着分别计算多源监测指标的权重和可信度；最后对基坑多源监测数据进行融合，获得基坑安全评价等级。本发明的特点在于：在充分利用基坑实测监测数据的基础上，同时考虑了不同监测指标的重要性和证据的可信度，保证了基坑安全状态识别的客观性、避免了主观人为因素的干扰，能够有效克服传统D‑S证据理论的缺陷。
Foundation pit safety early warning method based on multi-source monitoring data fusion
一种多源监测数据融合的基坑安全预警方法
LIU YADONG (author) / CHEN HANG (author) / QIAO SHENGFANG (author) / HU HESONG (author) / LIU XIAN (author) / LI XUEYOU (author) / TANG MENGXIONG (author) / SHAO QUAN (author) / LIANG HUQING (author)
2024-11-12
Patent
Electronic Resource
Chinese
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