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Measurement method based on adaptive algorithm

An adaptive algorithm and measurement method technology, applied in the detection field, can solve problems such as low precision and large error range, and achieve the effect of improving error precision requirements and powerful nonlinear mapping capabilities

Inactive Publication Date: 2020-12-04
SHANGHAI DEUTA ELECTRONICS & ELECTRICAL EQUIP
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The speed sensor used in the existing rail transit has a duty cycle of 50%±10%, please refer to the attached picture Figure 4 display; the phase difference is 90°±25°, the error range is large, and the accuracy is low;

Method used

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  • Measurement method based on adaptive algorithm
  • Measurement method based on adaptive algorithm
  • Measurement method based on adaptive algorithm

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Embodiment Construction

[0034] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of devices and articles of manufacture consistent with aspects of the present disclosure as recited in the appended claims.

[0035] The terminology used in the present disclosure is for the purpose of describing particular embodiments only, and is not intended to limit the present disclosure. As used in this disclosure and the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also b...

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Abstract

The invention provides a rail transit measurement method based on an adaptive algorithm. The method comprises the steps that a sensor collects an input signal; a programmable CPU chip is adopted in the sensor, a sampling signal is calculated through an adaptive algorithm based on a BP neural network, the duty ratio and the phase difference of the sampling signal are automatically corrected, and measurement information is formed; and the measurement information is uploaded to a superior system in real time in a bus form. The method has the characteristics of self-organization and self-learningfor information processing and has strong nonlinear mapping capability, and adaptive calculation can be realized, so that the effect of speed measurement deviation compensation is achieved; the errorprecision requirements of the duty ratio and the phase difference of the sampling signal are greatly improved; besides square wave output, bus output is also provided, and real-time measurement information is directly provided for a superior system.

Description

technical field [0001] The invention relates to the technical field of detection, in particular to a rail traffic measurement method based on an adaptive algorithm. Background technique [0002] The development process of locomotive speed sensor has experienced the development trend of mechanical, electromechanical, electronic, digital and intelligent. [0003] There is no application of intelligent measurement sensors in the field of existing rail transit rail transit. [0004] The speed sensor used in the existing rail transit has a duty cycle of 50%±10%, please refer to the attached picture Figure 4 display; the phase difference is 90°±25°, the error range is large, and the accuracy is low; [0005] The speed sensor used in the existing rail transit only has a square wave pulse output, please refer to the attached picture Figure 5 shown. Contents of the invention [0006] In view of this, the present invention uses an adaptive algorithm-based rail traffic measureme...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01P3/481G01P3/50G06N3/04G06N3/08
CPCG01P3/481G01P3/50G06N3/084G06N3/045
Inventor 贾恺陈伟
Owner SHANGHAI DEUTA ELECTRONICS & ELECTRICAL EQUIP
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