Classification, naming method and terminal equipment of inspection photos

Abstract

The invention provides an inspection picture classifying and naming method and a terminal equipment. The method comprises the following steps: the terminal equipment acquires equipment inspection pictures of an inspection base station and the corresponding shooting time information; the terminal equipment acquires orientation information thereof when the equipment inspection pictures are shot; the orientation information and the preset standard orientation information of various type of equipment in the standard inspection pictures are subjected to analysis and comparison to determine the equipment types of the equipment inspection pictures; the equipment inspection pictures are named according to the equipment types and the shooting time information of the equipment inspection pictures. According to the provided inspection picture classifying and naming method and terminal equipment, intelligent and full-automatic inspection picture classification and naming are effectively realized, and not only are inspection personnel released from complicated mechanical and repeated work, but also the accuracy of classification and naming is effectively ensured, the work efficiency of the inspection personnel is improved, and the time and the labor are saved.

Description

technical field [0001] The invention relates to the technical field of network communication, in particular to a method for classifying and naming inspection photos and a terminal device. Background technique [0002] At present, with the comprehensive upgrading of mobile communication technology, the rapid development of hardware technology, and the rapid popularization of smart terminals, smart phone terminals are widely used in many industries. And as a necessary tool to assist the staff in their work, smart phone terminals have been widely used in all walks of life, bringing a lot of convenience to people and improving the work efficiency of the staff. [0003] At the same time, with the continuous improvement of the speed of 4G station construction and the sudden increase in the number of base stations, the workload of base station inspection and maintenance personnel has greatly increased. Staff a lot of time. For example, in base station inspections, inspectors usua...

AI Technical Summary

Problems solved by technology

[0003] At the same time, with the continuous improvement of the speed of 4G station construction and the sudden increase in the number of base stations, the workload of base station inspection and maintenance personnel has greatly increased. staff a lot of time

For example, in base station inspections, inspectors usually need to take pictures of specific base station targets, such as cabinets, antennas, power supplies, etc., and manually mark, name, and classify the photos taken after the shooting is completed. Upload and store; because there are a lot of mobile phone photos taken in each inspection work, manual naming and classification often cause problems such as long working hours, heavy workload, and high error rate

[0004] The complicated manual labeling, naming, and classification of photos in the above process greatly increases the workload of inspection personnel and takes up a large proportion of time in inspection work. Therefore, an intelligent and fully automatic inspection photo is urgently needed The classification and naming methods can not only free the inspectors from these complicated mechanical and repetitive labor, but also can effectively ensure the accuracy of classification and naming, improve the work efficiency of the inspectors, and save time and cost

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