Field map evaluation method and device and field investigation record evaluation method and device

Abstract

The invention provides a field map evaluation method, a field investigation record evaluation method and devices thereof. The field map evaluation method comprises the following steps: detecting the types of set key elements contained in a to-be-evaluated image which is known to belong to a set type by utilizing a key element detector; under the condition that the types of the set key elements contained in the to-be-evaluated image meet the type requirements of the set key elements corresponding to the set quality grade, determining that the quality grade of the evaluation image is the set quality grade; setting the category as a field plane schematic diagram, drawing an azimuth map or a map azimuth map, and setting key elements as a map question, a map body, a compass, a drawing instruction or a legend instruction; wherein the key element detector is obtained by training an initial neural network by using a plurality of training samples, and the training samples comprise training images belonging to a set category and matching information of the training images and set key elements. According to the scheme, the check real-time performance, the information coverage range and the objectivity of the on-site survey information can be improved.

Description

technical field [0001] The invention provides an image evaluation method, in particular to an on-site map evaluation method, an on-site investigation record evaluation method and a device thereof. Background technique [0002] On-site maps are an important part of on-site investigation work records, an important supplement to on-site notes and on-site photos and videos, and an important basis for on-site analysis. [0003] With the popularization and development of information technology, on-site analysis work begins to develop in the direction of informatization and dataization. An on-site inspection information system can be established to digitally store the on-site inspection information in a computer system for comprehensive management and processing of information. However, in the daily use of this kind of system, because the on-site survey technicians do not pay enough attention to the entry of survey information, the pass rate and utilization rate of the information...

AI Technical Summary

Problems solved by technology

However, the manual spot check method is time-consuming and labor-intensive, and has a lag, and cannot perform real-time detection on the entered site map

However, due to the limited on-site retention time, when the site map is found to be missing, the site has changed, and it is impossible to supplement and draw the missing site map according to the specification requirements

Therefore, manual spot checks often only play a supervisory role, and cannot solve the root cause of the problem of missing site maps in the survey system

In addition, the number of on-site survey information manually checked is limited, the coverage is small, and it is prone to subjective errors and other shortcomings, which make the role of manual spot check even more limited

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