Online thermal distribution image predicting method

A prediction method and technology of heat distribution, applied in the direction of prediction, radiation pyrometry, measuring devices, etc., can solve the problems of not making full use of thermal dynamic characteristics of heat distribution images, etc., and achieve simple installation, safety assurance, and early warning of temperature Effect

Inactive Publication Date: 2013-07-31
TAIYUAN UNIV OF TECH
View PDF3 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the wide application of infrared imaging technology, the thermal dynamic characteristics inside the thermal distribution image have not been fully utilized, and it has not been well combined with thermodynamic theory.
At present, in the field of fault detection and diagnosis, accurate prediction of the trend of temperature changes has not yet been realized. There is an urgent nee

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
  • Online thermal distribution image predicting method
  • Online thermal distribution image predicting method
  • Online thermal distribution image predicting method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] Before the implementation, an infrared vision sensor should be installed in front of the thermal target. The vision sensor has the function of regularly capturing thermal images and transmitting them to the computer center. The cable should be electromagnetically shielded, and the length of the transmission cable should be optimized to reduce the signal attenuation. The installation position of the vision sensor should be based on the imaging range of the vision sensor, including the thermal target and the surrounding air environment close to the thermal target. A certain height from the ground is required. Prevent personnel from moving around from interfering with the thermal imager, and adjust the aperture and focal length of the visual sensor to ensure that the collected thermal distribution images are clear and accurate.

[0023] Specific implementation steps:

[0024] (1) Extract sampling points

[0025] Under the control of the internal chip of the infrared visio...

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 an online thermal distribution image predicting method, and belongs to the technical field of fault detection and diagnosis. The online thermal distribution image predicting method is characterized by being a method for performing thermodynamic analysis on changes in heat distribution, giving a prediction and synthesizing a vivid heat distribution image through finite element analysis measures, digital image processing, thermodynamic theories and thermal imaging simulation based on an infrared imaging technology under the condition that heat source parameters are uncertain. According to the method, the thermal dynamic features within the heat distribution image are widely applied to the infrared imaging technology; and in the field of temperature monitoring and temperature prewarning, a temperature change trend is predicted, and even through dynamic numerical features in the heat distribution image, a temperature change characteristic in a future time domain is quantitatively given, so that the temperature prewarning time is further advanced, precious time is saved for equipment repair, the production safety is further ensured, considerable economic benefits are brought to an enterprise, and a certain contribution is made to the state development.

Description

technical field [0001] The invention relates to an online prediction method for thermal distribution images, which belongs to the technical field of fault detection and diagnosis, is based on infrared imaging technology, and specifically relates to digital image processing, thermodynamic calculation and thermal imaging simulation. A method of thermodynamically analyzing the changes in thermal distribution and giving quantitative predictions, and then synthesizing realistic thermal distribution images. Background technique [0002] With the development and maturity of thermal imaging technology, by virtue of its safety, real-time, and easy-to-use advantages in the field of temperature detection, it has produced remarkable benefits in various fields, such as mining electromechanical equipment monitoring, electronic circuit fault location, Thermal imaging technology has been promoted from a tactical position to a strategic position in the process of national development, such a...

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): G06Q10/04G01J5/00
Inventor 乔铁柱张洺棋乔葳
Owner TAIYUAN UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products