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A Hazardous Chemicals Transportation Early Warning System Based on Fuzzy Neural Network

A fuzzy neural network and early warning system technology, applied in general control systems, control/regulation systems, instruments, etc., can solve the problems of inaccurate early warning, single early warning factors, lack of linkage processing, etc., to improve accuracy and timeliness Effect

Active Publication Date: 2022-02-22
GUANGDONG UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The present invention provides a fuzzy neural network-based early warning system for dangerous goods transportation in order to overcome the defects of single early warning factors, inaccurate early warning, and lack of linkage processing in the dangerous goods transportation early warning system in the prior art

Method used

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  • A Hazardous Chemicals Transportation Early Warning System Based on Fuzzy Neural Network
  • A Hazardous Chemicals Transportation Early Warning System Based on Fuzzy Neural Network
  • A Hazardous Chemicals Transportation Early Warning System Based on Fuzzy Neural Network

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Embodiment 1

[0057] Such as figure 1 As shown, a fuzzy neural network-based early warning system for hazardous chemicals transportation, the system includes: an information collection module, a vehicle terminal, a cloud server, and a multi-level linkage processing platform;

[0058] The information collection module is used to collect early warning indicators and send the early warning indicators to the vehicle terminal respectively;

[0059] The information collection module includes: a tire pressure monitoring unit, a dangerous goods state collection unit, and a road surface information collection system;

[0060] The tire pressure monitoring unit is used to detect the air pressure and temperature of automobile tires;

[0061] The dangerous goods state collection unit is used to collect the pressure, temperature and liquid level of dangerous goods;

[0062] The dangerous goods acquisition unit includes: dangerous goods pressure sensor, dangerous goods temperature sensor, dangerous good...

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Abstract

The invention discloses a fuzzy neural network-based early warning system for transportation of hazardous chemicals. The system includes: an information collection module, a vehicle terminal, a cloud server, and a multi-level linkage processing platform; the information collection module is used to collect early warning indicators and The early warning indicators are sent to the single-factor early warning module and the multi-factor early warning module respectively; the vehicle-mounted terminal is used to send the early warning information outputted by the input early warning indicators to the cloud server; the cloud server classifies and grades the early warning information After processing, it is sent to the multi-level linkage platform; the multi-level linkage processing platform instructs the organization connected to the hazardous chemical transportation early warning system to handle the alarm according to the level of the warning. The present invention overcomes the single shortcoming of the prediction factor through the collection of multi-dimensional early warning index information; improves the accuracy of early warning through the prediction of the fuzzy neural network; and improves the timeliness of early warning processing through the multi-level linkage platform access processing mechanism.

Description

technical field [0001] The present invention relates to the field of dangerous goods transportation, and more specifically, relates to an early warning system for dangerous goods transportation based on a fuzzy neural network. Background technique [0002] The current monitoring of hazardous chemicals transportation is designed through simple sensor threshold alarms. These sensors only work independently and belong to single-factor monitoring. At present, there is no early warning system that uses the overall monitoring information as an early warning element. The environmental requirements of hazardous chemical transportation It is relatively strict, so it is difficult to achieve accurate early warning only by single-factor monitoring. At present, the monitoring and early warning mechanism for hazardous chemicals has not formed a joint defense mechanism. This is also the shortcoming of the current early warning system. [0003] fuzzy control [0004] Many practical applic...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/02G05B13/04
Inventor 谢胜利张学文吴宗泽李建中梁泽逍张兴斌田野
Owner GUANGDONG UNIV OF TECH
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