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A cable core material prediction model establishment method based on an eddy current sensor and a neural network and a detection device

An eddy current sensor, neural network technology, applied in biological neural network models, instruments, electrical digital data processing and other directions, can solve the problems of low reliability, slow detection speed, material waste, etc., to achieve scientific and accurate judgment, fast non-destructive testing Effect

Pending Publication Date: 2019-03-01
JINZHONG POWER SUPPLY COMPANY OF STATE GRID SHANXI ELECTRIC POWER +2
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Problems solved by technology

[0003] Traditional power cable core wire materials can only be detected by professional metal materials. This method needs to destroy the cable insulation and is cumbersome to operate. It has low reliability and slow detection speed, which cannot meet the requirements of real-time sorting. waste

Method used

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  • A cable core material prediction model establishment method based on an eddy current sensor and a neural network and a detection device
  • A cable core material prediction model establishment method based on an eddy current sensor and a neural network and a detection device
  • A cable core material prediction model establishment method based on an eddy current sensor and a neural network and a detection device

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Embodiment Construction

[0038] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0039] 1. Establish SVM support vector machine prediction model

[0040] The energized coil and the metal conductors around it will produce an eddy current effect, and different metal conductors have different conductivity and magnetic permeability, so the metal induced magnetic field caused by the energized coil is different, which makes the inductance, impedance and quality of the original coil different. The degree of influence of factors and other characteristics varies. The eddy current sensor converts this difference into a difference in voltage amplitude as an output, and the neural network trains the voltage amplitude and the corresponding metal to establish a cable core type prediction model.

[0041] Such as figure 2 , 3 As shown, the support vector machine SVM establishes the cable core type prediction model and the specific ...

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Abstract

The invention relates to a cable core material detection device based on an eddy current sensor and a neural network, belongs to the field of material detection, and aims to realize rapid, accurate and non-destructive testing through analysis of a sensor output voltage value and a neural network learning function, detect the metal characteristics of a cable core and judge whether the material of the cable core is qualified or not. The device comprises an eddy current sensor, an analysis module, a memory and a display, Based on the eddy current sensor, the metal characteristics of different metals are output according to different voltage values, and the learning function of the neural network is utilized to more accurately judge the material of the cable core. The device has the advantagesof being easy and convenient to operate, rapid, accurate, free of damage to a tested object and the like, and a good solution is provided for solving the problems of economic loss and potential safety hazards caused by the common phenomenon that an aluminum wire replaces a copper wire in an existing cable core.

Description

technical field [0001] The invention belongs to the field of material detection, and relates to a method for establishing a cable core material prediction model based on an eddy current sensor and a neural network and a detection device. Background technique [0002] Power cable is an important product of electric energy transmission, which plays a decisive role in the safe and economical operation of the power system. At present, the phenomenon of replacing copper wire with aluminum wire is common in the domestic market. This common problem will not only bring economic losses, but also affect the There are hidden dangers in the safe operation of the power system. From the perspective of conductivity, the conductivity of aluminum conductors is only about 60% of that of copper. For power systems that require economical operation, the use of aluminum wires will undoubtedly increase huge losses and reduce power transmission efficiency; from the perspective of oxidation resistan...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N3/02
CPCG06N3/02G06F30/20
Inventor 要粮安周渠刘玲韩丽杨海生谢强孙凯魏智杰彭姝迪
Owner JINZHONG POWER SUPPLY COMPANY OF STATE GRID SHANXI ELECTRIC POWER
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