A comprehensive anti-theft management method and system based on artificial intelligence

A technology of artificial intelligence and management methods, applied in neural learning methods, electrical alarms, biological neural network models, etc., can solve problems affecting the normal operation of equipment and threats to power grid operation security, and achieve poor anti-theft effects, Realize the effect of artificial intelligence

Active Publication Date: 2020-07-28
上海荷福人工智能科技(集团)有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

After the cable is stolen and cut, on the one hand, it causes significant direct economic losses, and on the other hand, it also affects the normal operation of various equipment, posing a serious threat to the safety of power grid operation.

Method used

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  • A comprehensive anti-theft management method and system based on artificial intelligence

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Experimental program
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Effect test

Embodiment 1

[0032] This embodiment provides a comprehensive anti-theft management method based on artificial intelligence. This method is applied to the cable that forms the antenna after power-on. Since the signals generated by the antenna formed by cables of different lengths and different diameters are different, it can be used. By detecting the size of the signal and obtaining the length data according to the diameter data, the cable anti-theft is realized, and the problem of poor anti-theft effect in the prior art is solved.

[0033] Specifically, as figure 1 Shown, a kind of comprehensive anti-theft management method based on artificial intelligence, is used for realizing anti-theft management to cable, and described cable is the cable that forms antenna after being powered on; Method comprises the following steps:

[0034] S1: The control center obtains the generated signal data received by the receiver and generated after the cable is powered on, and packs it with the power-on sig...

Embodiment 2

[0054] Based on the same inventive concept as in Embodiment 1, this embodiment provides a comprehensive anti-theft management system based on artificial intelligence, which is used to implement anti-theft management for cables, and the cables are cables that form antennas after being powered on; the system includes:

[0055] The control center is used to obtain the generated signal data received by the receiver after the cable is powered on, and pack it with the power-on signal data, cable diameter and cable length sent by the transmitter to form cable characteristic data; The cable feature data is divided into training samples and test samples; it is also used to input the training samples to the convolutional neural network model for training, obtain the trained convolutional neural network model, and use the test samples to train After the convolutional neural network model is tested, after the test is completed, the trained convolutional neural network model is sent to the ...

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Abstract

The invention discloses an artificial-intelligence-based comprehensive anti-theft management method and system. The method comprises the steps that cable feature data are formed in a control center; the cable feature data are divided into a training sample and a testing sample; the training sample is input to a convolutional neural network model for training, and a trained convolutional neural network model is obtained; after testing, the trained convolutional neural network model is sent to a receiver; and the receiver inputs data to the trained convolutional neural network model, and predicted cable length result data are obtained through the trained convolutional neural network model. The length data are obtained according to diameter data by detecting the magnitude of signals output bycables which form antennas after electrification, and thus cable theft prevention is achieved, and the problem of poor anti-theft effect of the prior art is solved; through the convolutional neural network model, data under different conditions are detected, and thus the artificial intelligence function is realized.

Description

technical field [0001] The invention relates to an artificial intelligence-based comprehensive anti-theft management method and system. Background technique [0002] Due to the considerable copper price, incidents of cable theft and cutting are also increasing day by day. When thieves steal copper facilities such as tunnel cables, street lamp cables, main control box interface devices, and barrier gates, their goal is the metallic copper in the cables. In recent years, the theft of power cables has been very serious. After the cable is stolen and cut, on the one hand, it causes significant direct economic losses, and on the other hand, it also affects the normal operation of various equipment, posing a serious threat to the safety of power grid operation. While intensifying crackdowns and civil defense efforts in accordance with the law, setting up specialized and targeted security methods and systems to realize intelligent anti-theft of power cables should be an important...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08B13/22G06N3/04G06N3/08
Inventor 徐峰冯俊杰
Owner 上海荷福人工智能科技(集团)有限公司
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