57 / 2021-11-15 19:08:15

三峡湖北库区高切坡泛结构化数据一体化管理模式研究

三峡库区;高切坡;数据管理;结构化数据;非结构化数据

Research on integrated management mode of Pan-structured data for high cut slope in Hubei Three Gorges Reservoir Area

1^st Li guoce¹, 2^nd Fan Yunfan

(1. China University of Geosciences. 2. China University of Geosciences)

Abstract—In the construction of the large-scale resettlement project in the Three Gorges Reservoir Area of Hubei Province, a large number of high cut slopes are inevitably formed due to the large topographic fluctuation in the construction area. The main morphological characteristics are "steep" and "high", which is a possible hidden danger of geological safety in the resettlement area of the Three Gorges Reservoir Area. Through the collection and sorting of the high-cut slope related data of the Three Gorges Project in Hubei reservoir area, it is found that this part of data has obvious heterogeneous and heterogeneous characteristics of multi-sources, large quantity, multi-type, multi-format, multi-scale, multi-precision, poor standardization degree and different digitalization degree, which is a typical big data. The intelligent prediction of the development trend of high cut slope and the security assessment of its stability need the support of a large amount of data. The traditional structured data management mode and the data management mode stored in the form of files cannot carry out unified and effective management of a large amount of unstructured data such as documents, graphs and images. Make full use of the effective information in the unstructured data of high-cut slope, establish a pan-structured data integrated management mode, unify the management of structured data and unstructured data.not only can get the required information more quickly, but also can get more valuable conclusions with enough data support. In the era of big data, the integrated management of high-cut slope data has theoretical basis and practical significance.

Aiming at the needs of monitoring and early warning of high cut slope in resettlement area of Hubei reservoir area of Three Gorges Project, this paper designs a pan-structured integrated management mode of high cut slope data, which can effectively manage the data collected at present. Specific research work includes:

(1) A comprehensive collection of geological data, design data, monitoring data and public source data related to high-cut slope safety in the resettlement areas of the four counties and districts was conducted, and a file directory was established for systematic classification and sorting of the collected original data, so as to facilitate follow-up work.

(2) Properly manage the structured data of high-cut slope monitoring, including basic data of high-cut slope, group test and prevention data of high-cut slope and professional monitoring data of high-cut slope, and formulate structured data storage rules. A dynamically configurable relational data management system is designed to ensure the normal operation of the platform when the database needs to be updated. It only needs to switch the database after the update.

(3) establish a unstructured data management model, including the high cut slope document data and graphic data and image data management, the traditional data management model were not properly scheduling it make full use of the part of the data, realize the rapid extraction of professional information in document data, extract of Chinese yuan graphic data information, rapid extraction of key elements of the image data.

(4) Establish the unified processing model of structured data and unstructured data, and finally realize the integrated management of pan-structured data, which can properly manage the structured data such as professional monitoring of high cut slope, group testing and group prevention, and the unstructured data such as survey report, design report, design drawing and image data. This part of data can be transformed into reliable data support for high cut slope safety prediction and early warning.

(5) Set feature data extraction rules, and output feature data sets through joint retrieval of multiple tables to provide data services for high-cut slope prediction and early warning, establish evaluation result report template and evaluation result grading, and realize the output of high-cut slope prediction and early warning results.

The research in this paper can be used as a useful supplement to the traditional structured data management mode, provide support for the integrated management of pan-structured data of high-cut slope, and provide data and technical support for the safety assessment, prediction and early warning of high-cut slope.

Keywords—Three Gorges Reservoir area; high cut slope; data management; structured data: unstructured data