Mobile vision inspecting equipment and method for detection of electric instruments

Abstract

The invention discloses mobile vision inspecting equipment and method for detection of electric instruments. The equipment comprises a monitoring center and a mobile device, wherein the mobile device is divided into a visual information acquisition unit, an information processing and control unit, a wireless network communication unit, a positioning device and a power device; the mobile device moves through sliding rails which are pre-paved; when the mobile device moves to electrical equipment, the information of the instruments or switch state information is collected through the visual information acquisition unit, the information is sent to the information processing and control unit for information processing, and the wireless network communication unit sends the processed information to the monitoring center for information regulation, so that the purposes of inspecting a large-scale electric instrument group and quickly and accurately determining failure sites are realized. According to the mobile vision inspecting equipment and method disclosed by the invention, massive tedious equipment failure monitoring operations are omitted, so that the working efficiency is improved, and automatic monitoring of the failure of the large-scale electric instrument group is realized.

Description

technical field [0001] The invention relates to a mobile visual inspection equipment and method for electrical instrument detection, belonging to the technical field of instrument detection. Background technique [0002] In the monitoring data collection process of large-scale electrical instrument groups, there are a large number of direct-display instruments such as pointer instruments and digital display instruments without interfaces. Since their data cannot be directly collected by computers, traditional reading methods mostly use manual reading. However, manual readings have disadvantages such as high intensity, high cost, poor timeliness, and long monitoring cycle, which affect the monitoring work. The image processing technology is applied to the data reading and state recognition of various instruments to realize the automation of instrument detection, which not only improves the accuracy of calibration, but also improves work efficiency. Contents of the invention...

AI Technical Summary

Problems solved by technology

However, manual readings have disadvantages such as high intensity, high cost, poor timeliness, and long monitoring cycle, which affect the monitoring work.

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