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

Neural network based temperature early warning method of spherical bunker

A neural network and spherical warehouse technology, applied in the field of spherical warehouse temperature early warning system, can solve the problems of economic loss and safety hazard, large amount of monitoring data, huge amount of temperature data, etc., to improve accuracy and reliability, and overcome poor reliability , The effect of removing the influence of noise

Active Publication Date: 2018-11-20
BEIJING UNIV OF TECH
View PDF7 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] 3. The amount of monitoring data is large; the multi-measuring points and multi-type characteristics of the spherical warehouse temperature monitoring system determine that the amount of temperature data monitored will be very large. How to obtain accurate information from a large amount of data is a problem that needs to be solved
This method is obviously not suitable for the temperature monitoring system of the spherical warehouse. The accuracy and error of multiple types of temperature sensors are inconsistent, and the large amount of data caused by multiple measuring points. False alarms, causing unnecessary economic losses and potential safety hazards

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
  • Neural network based temperature early warning method of spherical bunker
  • Neural network based temperature early warning method of spherical bunker
  • Neural network based temperature early warning method of spherical bunker

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] Temperature measuring points such as figure 1 As shown, the resistive temperature sensor 1 is arranged on the wall of the ball bin and the coal outlet at the bottom of the ball bin, and the temperature sensors on the wall of the ball bin are installed one at intervals of 50° along the inner wall in the transverse direction, a total of six. Install one at an interval of 3m from the bottom of the side wall in the longitudinal direction, a total of 10. The digital multi-point temperature measuring cable 3 is installed vertically from the top of the ball bin, and a temperature measuring cable is arranged at each coal outlet. Infrared temperature measuring devices 2 are installed on the top of the ball chamber, and one is installed every 120° in the horizontal direction, a total of three.

[0032] The hardware structure of the system is as figure 2 As shown, it is mainly composed of a temperature sensor, a signal acquisition card, a microprocessor, a diagnostic result dis...

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 neural network based temperature early warning method of a spherical bunker, and the method is used to carry out temperature monitoring and early warning on the large spherical coal bunker of a thermal power plant and the like. The method comprises the steps that a temperature signal is preprocessed by mean value filtering; characteristic values including the average temperature, heating rate and temperature increase trend of the spherical bunker are extracted from the temperature signal; and a three-level LMBP neural network temperature early warning model which takes the characteristic values as input nodes and an early warning level as an output node is constructed. The method is easy to realize, the reliability of temperature early warning is high, and uncertainty of early warning is reduced.

Description

technical field [0001] The invention relates to the field of safety monitoring of a spherical coal storage bunker, in particular to a temperature early warning system for a spherical bunker. Background technique [0002] Coal storage yards are important places for coal storage and coal supply in coal-fired power plants, coal mines, and coal washing plants, which are related to the safe and stable production of power plants. With the continuous expansion of domestic coal-fired unit capacity and construction scale, increasing emphasis on environmental protection, and increasingly precious land resources, a new coal storage method—closed spherical coal bunkers has begun to be applied at home and abroad. However, the closed spherical bunker is in a fully closed state, and the ventilation conditions are poor. The heat of the coal pile in the bunker is easy to accumulate, and the coal pile in the bunker is prone to spontaneous combustion, which will cause very serious safety hazar...

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): G01K7/16G01J5/00
CPCG01J5/00G01K7/16
Inventor 王晓铭付胜薛殿威周忠臣于梦瑶
Owner BEIJING UNIV OF TECH
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