System and method for positioning and addressing of perception network based on coded fiber grating sensor

Abstract

The invention discloses a sensing network positioning and addressing system and method based on coding type fiber bragg grating sensing. The sensing network positioning and addressing method includes three levels of intelligent processing processes. The first level adopts circulated matching under condition constraints so as to ensure the only correct matching results, and wavelength information which cannot be addressed in the first level can be secondarily filtered by the third level for further accurate processing. Wavelength information which cannot be totally matched in the second level can enter the third level to be matched in an interactive mode with the second level by utilizing an auxiliary deciding mode based on a decision matrix reasonably until high-accuracy positioning and addressing results are obtained. Compared with a traditional coding type fiber bragg grating sensing network addressing and positioning method, the sensing network positioning and addressing system adopts the multi-level processing mode, rigidly controls matching conditions and matching results, avoids the problem that the traditional method can be failed when used for sensing coinciding of variable quantity, and can achieve accurate addressing and positioning. The sensing network positioning and addressing system and method can be used for positioning and addressing of sensing networks based on coding type fiber bragg grating sensing and has high accuracy and reliability.

Description

technical field [0001] The invention relates to the technical fields of sensing technology, information processing and network communication, and specifically refers to a sensory network positioning and addressing system and method based on coded fiber grating sensing. Background technique [0002] With the rapid development of modern industrial technology, safety monitoring during the operation of large-scale projects and major equipment has always been a hot spot in international research, and has become an important strategic issue for many countries' economy, security and national defense. Traditional electrical sensors have disadvantages such as poor anti-interference ability, incapable of large-scale distributed sensing, weak environmental adaptability, large volume and mass, and difficult deployment of key parts, which cannot meet the needs of long-term accurate safety monitoring. Especially for the long-term intelligent perception and monitoring of the state of large...

AI Technical Summary

Problems solved by technology

When a large number of sensing node changes overlap, the ambiguity of the algorithm will cause a series of positioning confusion and missing matching nodes, and accurate positioning information cannot be obtained

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