Digital method and device for paper hydrological data

Abstract

The invention discloses a digitalization method for paper hydrological data, which uses a computer to convert the hydrological data recorded in the paper hydrological data into queryable database data. The method comprises the following steps: extracting a binarized coordinate grid image and a hydrological curve image from the digital image of paper hydrological data; performing tilt correction on the coordinate grid image and the hydrological curve image; The grid image and hydrological curve image are image enhanced, and the size of the unit grid is calculated; the enhanced coordinate grid image and hydrological curve image are used to search for the intersection point set of the grid line and the hydrological curve; The hydrological data corresponding to the unit grid; calculate the hydrological data corresponding to the intersection point. The invention also discloses a digitizing device for paper hydrological data. Compared with the prior art, the invention has the advantages of high accuracy and high degree of automation, can greatly improve the efficiency of digitizing hydrological data, and reduce costs.

Description

technical field [0001] The invention relates to a method and device for digitizing paper hydrological data, which converts hydrological data recorded in paper hydrological data into queryable database data by using a computer, and belongs to the technical field intersecting computer image recognition technology and water conservancy technology. Background technique [0002] Before the popularity of computers, in the fields of water conservancy, meteorology, biomedicine, petroleum geology, etc., the effective data information observed was drawn on paper engineering drawings through specific instruments or manually. In the field of water conservancy, hydrological information is the most important and fundamental content in the development of water conservancy projects. It can be seen that the data on paper hydrological data are relatively precious historical data, recording flow, water level, precipitation, evaporation, etc., many of which will be often used for analysis and p...

AI Technical Summary

Problems solved by technology

On the one hand, compared with other engineering drawings, hydrological paper data have different materials and specifications, as well as different application requirements. Therefore, digitization methods such as electrocardiograms and other engineering drawings cannot be fully applied to paper water level data.

On the other hand, some digital studies on historical hydrological data are not deep enough, for example [Wei Qingjie, Dong Xiuqiang. Development and application of hydrological data database management system [J]. Water Conservancy Science and Technology and Economics, Volume 15, 2009, 163-165], [ Zhao Chunlin, Sun Lifang, Wang Jian. Design ideas and function realization of hydrological data compilation management system [J]. Journal of Inner Mongolia University (Natural Science Edition), 2003, 34(5):556-559], [Zhao Qisheng. Digital Water Resources Archives Design and implementation of the management system [J]. Information Technology, 2005, 8:56-59] and others use scanners to convert paper hydrological data into image formats for storage

Another example is literature [Xiao Wei, Shi Chang, Gao Jun. Digital processing of historical hydrological data [J], People's Yangtze River, 2011, 42(11):67-69], [Wang Yiwei, Li Dengmin, Sui Tiecheng. Development of hydrological raw data database Application and analysis and evaluation [J]. Northeast Water Conservancy and Hydropower, 2008, 26(12):40-41], etc. The management of hydrological data establishes a corresponding database by manually entering information, and organizes the classification of data into the database, but the data Information needs to be strictly corrected before being entered, and various indexes need to be established when accessing data, which cannot be quickly used for further reference and research

[0006] To sum up, for hydrological paper data, there is no technology that can fully realize the digitalization of hydrological curves, and the deformation caused by the large format of hydrological data brings certain difficulties to image segmentation and data extraction.

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