Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Measurement system and method based on machine-intelligence-prediction multi-parameter fiber sensor

A fiber optic sensor, machine intelligence technology, applied in the field of measurement and testing

Active Publication Date: 2018-08-07
成都蓝炬科技有限公司
View PDF3 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problems existing in the prior art, the present invention provides a measurement system and method based on machine intelligence to predict a multi-parameter optical fiber sensor, which combines the application of multi-parameter distributed optical fiber sensing to realize high-precision distributed optical fiber strain, temperature , vibration fusion for distributed measurement, and because the analysis of sample components is easily disturbed by various noises or media between the sensing system and target components, through data fusion technology, machine intelligence can be used for fault detection and prediction, Detect or predict possible problems before they go wrong and cause serious consequences

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Measurement system and method based on machine-intelligence-prediction multi-parameter fiber sensor
  • Measurement system and method based on machine-intelligence-prediction multi-parameter fiber sensor
  • Measurement system and method based on machine-intelligence-prediction multi-parameter fiber sensor

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0041] Such as Figure 1-Figure 4 As shown, a measurement system based on machine intelligence to predict multi-parameter fiber optic sensors includes a distributed fiber optic temperature sensing system 10, a distributed fiber optic vibration sensing system 20, a distributed fiber optic strain sensing system 30 and a cloud platform 40; The signal input and output ends of the cloud platform 40 are respectively connected to the signal input and output ends of the distributed optical fiber temperature sensing system 10, the distributed optical fiber vibration sensing system 20 and the distributed optical fiber strain sensing system 30; Storage 41 and cloud computing 42.

[0042] In one of the embodiments, the distributed optical fiber temperature sensing system 10 includes a pulse modulation laser source 11, a first optical channel module 12, a real-time temperature self-calibration module 13, a first pulse code controller 15, and a photoelectric detection module 16 , the first...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a measurement system based on a machine-intelligence-prediction multi-parameter fiber sensor. The system is composed of a distributed fiber temperature sensing system, a distributed fiber vibration sensing system, a distributed fiber strain sensing system and a cloud platform. A signal input terminal of the cloud platform is connected with signal output terminals of the distributed fiber temperature sensing system, the distributed fiber vibration sensing system, and the distributed fiber strain sensing system. The cloud platform includes a cloud memory and a cloud calculator. In addition, the invention also discloses a machine intelligence prediction method based on multi-parameter measurement fiber sensing.

Description

technical field [0001] The invention relates to the technical field of measurement and testing, in particular to a measurement system and method based on machine intelligence prediction multi-parameter optical fiber sensor. Background technique [0002] At present, optical fiber sensing technology can accurately sense physical quantities at a single point or a single parameter, and realize digital output of the detected physical quantities through analog-to-digital conversion. However, such parameters are to respond when the optical fiber sensor detects an error and may lead to serious consequences. At present, there is no accurate definition and model for abnormal state prediction, and abnormal detection technology is still lacking. It is urgent to integrate sensing information and knowledge Combined to improve the intelligence of the machine; at the same time, it is very difficult to sense the multi-dimensional state, such as environmental measurement, whose characteristic...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G01B11/16G01K11/32G01H9/00G01D5/353G01D5/36G01K11/324
CPCG01B11/168G01D5/35303G01D5/35338G01D5/35374G01D5/35377G01D5/36G01H9/004G01K11/32G01K11/324
Inventor 李继瑛
Owner 成都蓝炬科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com