Automatic shaping method for high-water-head runner blade

Abstract

The invention provides a high-water-head runner blade automatic shaping method in order to solve the problem that in an existing runner automatic model selection scheme, after runner model values meeting water head conditions are automatically judged, the most appropriate water head is manually compared and selected, and the efficiency is too low for the design process with the large number of runner models. According to the method, the accuracy and the high efficiency of a runner model selection process are realized, more comprehensive model selection reference parameters are selected, a runner model search tree is constructed in a B-Tree data structure form, whether the reference parameters of the runner meet calculation conditions or not can be correctly and quickly judged, and finally, quick and automatic model selection of the runner is realized; according to the technical scheme, a model runner database is established according to an existing runner model; establishing a runner model search tree model in a B-Tree data structure form; information included in the database S1 is obtained through hydropower station data analysis and runner calculation, and runner model selection is conducted in the database through the runner model search tree model.

Description

technical field [0001] The invention relates to the technical field of automation, in particular to a method for automatic shaping of high-head runner blades. Background technique [0002] The multi-way search tree (B-Tree) is a common data structure. Using the B-tree structure can significantly reduce the intermediate process experienced when locating records, thereby speeding up the access speed. This data structure is generally used for database indexing, and the overall efficiency is high. The basic process of using B-Tree for data search is to first establish a database of objects to be searched, sort different data in the database table according to type, and clarify the order of importance of all column data. For each data column, classify according to the data value according to the statistical method, as many types of data values ​​as there are, as the number of nodes corresponding to the search tree. [0003] The turbine runner is one of the four important flow-p...

AI Technical Summary

Problems solved by technology

[0006] The present invention is to overcome the existing scheme of automatic type selection of runners, most of which manually compare and select the most suitable water head after automatically judging the model value of the runners that meet the water head conditions. For the design process with a relatively large number of runner models To solve the problem of low efficiency, provide an automatic repair method for high water head runner blades, realize the accuracy and efficiency of the runner selection process, select the minimum water head, maximum water head, maximum allowable suction height, and optimal unit speed , optimal unit flow rate, runner diameter and runner efficiency are used as reference parameters for model selection, and the runner model search tree constructed in the form of B-Tree data structure can correctly and quickly judge whether the reference parameters of the runner meet the calculation conditions, and finally Realize fast and automatic selection of runners

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