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

Based on fuzzy logic, the multi -source information convergence of tanker's multi -source information

A fuzzy logic and integral technology, applied in instrumentation, geometric CAD, probabilistic CAD, etc., can solve the problems of untimely and inaccurate rollover warning, and achieve the effect of low cost, clear calculation method and comprehensive analysis data

Active Publication Date: 2020-10-02
SOUTHEAST UNIV
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problem of inaccurate and untimely rollover warning during the driving process of the integral tank car, a rollover early warning method based on fuzzy logic based on multi-source information fusion of the integral tank car was proposed

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
  • Based on fuzzy logic, the multi -source information convergence of tanker's multi -source information
  • Based on fuzzy logic, the multi -source information convergence of tanker's multi -source information
  • Based on fuzzy logic, the multi -source information convergence of tanker's multi -source information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0054] The technical solutions provided by the present invention will be described in detail below in conjunction with specific examples. It should be understood that the following specific embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention.

[0055] The present invention proposes a fuzzy logic-based integral tank car multi-source information fusion rollover early warning method. First, three rollover characterization parameters are specified and the corresponding estimated rollover occurrence probability is calculated respectively, and then the probability based on fuzzy logic is established. Calculate the model, and finally calculate the optimal probability of estimated rollover occurrence and give early warning in different levels. The rollover early warning method proposed by the present invention does not need to consider complex dynamic equations and vehicle body parameters, only needs to redundan...

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 provides a fuzzy logic based integral tank truck multi-source information fusion rollover early warning method. Firstly, three rollover characterization parameters are defined and corresponding probability of pre-estimated rollover occurrence is calculated; secondly, a probability calculation model based on fuzzy logic is established; and finally, optimal probability of the pre-estimated rollover occurrence is calculated and early warning is carried out at different levels. The rollover early warning method provided by the invention does not need to consider complex dynamic equations and vehicle body parameters, only needs to redundantly process a plurality of low-cost sensor information, and obtains the optimal probability of the pre-estimated rollover occurrence through theprobability calculation model based on fuzzy logic. The method is comprehensive in data analysis, accurately quantified rollover risk in a form of probability, and can accurately and timely perform early warning when small rollover risk exists in the integral tank truck so as to enable a driver to take preventive measures as soon as possible to reduce the occurrence of rollover accidents.

Description

technical field [0001] The invention relates to an integral tank car rollover early warning method, in particular to a fuzzy logic-based integral tank car rollover early warning method based on multi-source information fusion, belonging to the technical field of automobile safety. Background technique [0002] In recent years, with the vigorous development of the road transportation industry, the integral tanker has become an important carrier of road transportation of dangerous goods. Due to the high center of gravity, relatively small wheelbase and susceptibility to liquid disturbance, the integral tanker is prone to rollover under the conditions of ice and snow wet slippery road, small turning radius and high driving speed, which leads to Leakage of dangerous goods will cause environmental pollution and traffic congestion, and seriously damage life and social property. According to the relevant statistical data of the U.S. Highway Traffic Safety Administration, in all la...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/15B60W30/04B60W50/14G06F111/08G06F119/14
Inventor 李旭韦坤徐启敏
Owner SOUTHEAST UNIV
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