Fault identification system for direct current transmission line

Abstract

The invention relates to a fault identification system for a direct current transmission line. The fault identification system comprises an image data analysis subsystem, a blood oxygen detection subsystem, a blood sugar detection subsystem and an MSP430 microprocessor, wherein the image data analysis subsystem is used for analyzing the age group information of the detected personnel based on the images of the detected personnel, and the MSP430 microprocessor is respectively connected with the image data analysis subsystem, the blood oxygen detection subsystem and the blood sugar detection subsystem. Based on the age group information of the detected personnel, medical data thresholds including preset blood sugar upper limit concentration, preset blood sugar lower limit concentration, preset blood oxygen saturation upper limit concentration and preset blood oxygen saturation lower limit concentration are set for the blood oxygen detection subsystem and the blood sugar detection subsystem. According to the invention, more accurate physiological parameter warning messages can be sent based on the age group information of the detected personnel.

Description

technical field [0001] The invention relates to the field of electric power, in particular to a fault identification system for DC transmission lines. Background technique [0002] One of the main causes of faults in DC transmission lines is the deterioration of the physical functions of personnel. Therefore, one way to identify faults is to understand and be familiar with the physical functions of personnel. The existing technology lacks a physiological parameter detection mechanism based on age group identification, and the distribution ranges of physiological parameters of people of different age groups are different. If the same standard is used for medical testing of people of all age groups, the error is self-evident. Yu; At the same time, each physiological parameter instrument in the prior art generally only detects a single physiological parameter, and cannot perform comprehensive detection, and the existing physiological parameter instrument has high structural red...

AI Technical Summary

Problems solved by technology

The existing technology lacks a physiological parameter detection mechanism based on age group identification, and the distribution ranges of physiological parameters of people of different age groups are different. If the same standard is used for medical testing of people of all age groups, the error is self-evident. Yu; At the same time, each physiological parameter instrument in the prior art generally only detects a single physiological parameter, and cannot perform comprehensive detection, and the existing physiological parameter instrument has high structural redundancy and low detection accuracy, so it is necessary to adjust its structure. Make some optimization

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