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Random forest algorithm-based electricity utilization safety sensing method, equipment and medium

A random forest algorithm and security technology, applied in the field of electricity security perception based on random forest algorithm, can solve the problems of accurately judging over-fitting probability, limitations of detection indicators, and inaccurate characteristic values, so as to improve the establishment efficiency and shorten the Judging the reaction time and the effect of risk reduction

Pending Publication Date: 2022-06-03
STATE GRID HUNAN ELECTRIC POWER +2
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AI Technical Summary

Problems solved by technology

[0033] In order to solve the technical problems of inaccurate eigenvalues, limitations in detection indicators, difficulty in accurately judging fault arcs, and high probability of overfitting existing in the current low-voltage customer electricity safety intelligent perception scheme, the present invention provides a Screening, a comprehensive model that integrates fault arc, leakage, and short circuit judgments

Method used

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  • Random forest algorithm-based electricity utilization safety sensing method, equipment and medium
  • Random forest algorithm-based electricity utilization safety sensing method, equipment and medium
  • Random forest algorithm-based electricity utilization safety sensing method, equipment and medium

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Embodiment Construction

[0087] The overall architecture diagram of this embodiment is as follows figure 1 It includes two parts, the first part is the random forest model generation part, which mainly describes the establishment process of the random forest model; the second part is the use part of the random forest model, which mainly shows how the random forest model realizes low-voltage customers Intelligent perception of electricity safety.

[0088] The original data collection and feature extraction methods are given below.

[0089] Simulate all kinds of power failure problem scenarios and normal operation status of low-voltage customers, and use the wave recording device to collect residual current data Id from the simulation experiment i and total current data Ia i , the sampling frequency is set to 1MHz, and the power frequency is 50Hz, so each power frequency cycle includes 20,000 sampling points. Form the original dataset matrix OriginalData. The matrix structure is N rows and 5 columns, ...

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Abstract

The invention discloses an electricity utilization safety sensing method and device based on a random forest algorithm, and a medium, and the method comprises the steps: collecting electricity utilization data, extracting a plurality of indexes, taking the indexes as feature indexes, and inputting the feature indexes into a trained random forest algorithm model; all decision trees in the random forest algorithm model respectively output probability values of different power consumption conditions represented by the power consumption data, then the average number of all the probability values is taken, and the power consumption condition with the maximum probability value in the average number is used as a current power consumption condition result. The invention provides a comprehensive model which does not need feature screening and integrates fault arc, electric leakage and short circuit judgment. The model aims at quickly sensing and judging the occurrence of fault arc, electric leakage and short circuit phenomena, improving the fault sensing precision of low-voltage users and ensuring the life and property safety of the low-voltage users.

Description

technical field [0001] The invention relates to the field of electricity safety monitoring, in particular to an electricity safety perception method, equipment and medium based on a random forest algorithm. Background technique [0002] With the advancement of science and technology, various new technologies continue to emerge, the application of electrified products has been greatly popularized, and various low-voltage electrical appliances have spread to all fields of people's production and life, but this also brings certain safety hazards. Electrical safety accidents caused by aging or improper configuration of electrical lines have a rising trend year by year, and low-voltage fault arcs are one of the main causes of electrical fires. Low-voltage arc faults in the form of short circuits in low-voltage power distribution devices still exist, resulting in very serious losses and huge hidden dangers to people's lives and property safety. In addition, the gas explosion acci...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06G06K9/62G06N3/04G06N3/08
CPCG06Q10/06393G06Q50/06G06N3/08G06N3/044G06N3/045G06F18/24323G06F18/214Y04S10/50
Inventor 肖宇叶志肖湘奇胡军华徐正义刘小平肖湘晨卿曦吴文娴罗宇剑黄瑞贺星刘谋海杨茂涛黄燕娇熊德智彭沛邹晟曾娟周滨王庭婷陈浩余敏琪叶浏青
Owner STATE GRID HUNAN ELECTRIC POWER
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