Method for automatically judging major graph by computer

Abstract

The invention discloses a major drawing computer evaluation method. The method comprises the following steps: step 1, making materials required by plotting; step 2, respectively plotting the standard plotting file and the job plotting file in plotting software according to plotting required materials; step 3, by utilizing a computer system, reading the plotting standard drawing file and the operation drawing file, carrying out similarity comparison calculation on each mark number in the standard drawing file and each mark number in the plotted operation drawing file under a preset rule, comprising point mark number judgment, line and plane mark number judgment, independent annotation judgment, finishing frame judgment, text word size judgment, graph name judgment, signature judgment, safety classification judgment and realization of major graph judgment. According to the main drawing evaluation and evaluation method provided by the invention, the problems that the efficiency, the accuracy and the fairness are low due to the fact that the training operation evaluation is subjective evaluation in main in main drawing training of the main drawing of personnel are solved.

Description

technical field [0001] The invention belongs to the technical field of schematic diagram drawing evaluation, and in particular relates to a method for automatic evaluation of schematic diagrams by computer. Background technique [0002] The key drawing evaluation is to evaluate the accuracy, aesthetics and timeliness of the key pictures drawn by personnel through the key drawing software. At present, the plotting and judging of the required maps is mainly conducted by experts to manually evaluate its accuracy and aesthetics. The existing evaluation methods have the following problems: First, the accuracy evaluation is not precise enough. The evaluation of the accuracy of the labels in the map mainly includes coordinates, color usage, label size, angle, etc. The judgment of the above contents can only be judged by the subjective intuition of experts during manual evaluation, and cannot be accurately judged according to different error standards according to the requirements ...

AI Technical Summary

Problems solved by technology

The existing evaluation methods have the following problems: First, the accuracy evaluation is not accurate enough

The evaluation of the accuracy of the labels in the map mainly includes coordinates, color usage, label size, angle, etc. The judgment of the above contents can only be judged by the subjective intuition of experts during manual evaluation, and cannot be accurately judged according to different error standards according to the requirements of the map scale

Second, the evaluation efficiency is not high

There are as many as hundreds or as few as dozens of labels in a picture, and each label is manually judged, which is time-consuming and inefficient, and it is difficult to meet the timeliness requirements for evaluation

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