Unlock instant, AI-driven research and patent intelligence for your innovation.

Electrical fire monitoring method for cultural relic building pyrolysis particle feature recognition

A feature recognition and electrical fire technology, applied to fire alarms, fire alarms, instruments, etc. that rely on radiation effects, can solve the problems of increasing the risk of electrical fires in cultural relics, increasing deformation, and decreasing strength

Active Publication Date: 2021-10-22
SHENYANG FIRE RES INST OF MEM
View PDF5 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Wooden structures cannot be used at a temperature of 50°C for a long time. If the wood is kept at 60°C to 100°C for a long time, it will cause evaporation of water and volatiles, decrease in strength, increase deformation, and dark brown color, which will increase the electrical properties of cultural relics. Risk of fire Therefore, we propose an electrical fire monitoring method based on feature recognition of pyrolysis particles in cultural relics

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
  • Electrical fire monitoring method for cultural relic building pyrolysis particle feature recognition
  • Electrical fire monitoring method for cultural relic building pyrolysis particle feature recognition
  • Electrical fire monitoring method for cultural relic building pyrolysis particle feature recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0028] see figure 1 , the present invention provides a technical solution:

[0029] An electrical fire monitoring method for feature recognition of pyrolysis particles in a cultural relic building, comprising the following steps:

[0030] A. Use laser particle sensors to analyze the 1.0μm, 2.5μm and 10.0μm particle size distribution characteristics of different pyrolysis particles, use VOC gas sensors to analyze gas concentration characteristics...

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 electrical fire monitoring method for characteristic identification of pyrolysis particles of cultural relics and buildings, which comprises the following steps: analyzing the distribution characteristics of the particle sizes of 1.0 [mu]m, 2.5 [mu]m and 10.0 [mu]m and the characteristics of gas components of different pyrolysis particles, and establishing characteristic data of wood and various electrical insulating materials by adopting a BP neural network analysis algorithm; achieving the characteristic identification technology of wood volatile matters and electrical insulating material pyrolysis gas, wherein the output of the network is an electrical fire risk quantized value [alpha], and the risk quantized value is calculated by adopting a risk assessment function; and when the experimental sample is trained, adopting an analytic hierarchy process to obtain an evaluation value. The invention provides an electrical fire monitoring method for cultural relic building pyrolysis particle feature recognition, and the method comprises the steps: analyzing the particle size features and gas composition features of pyrolysis volatile matters of wood at 60 DEG C and various electrical insulating materials at 80 DEG C according to the feature that a cultural relic building body is of a wood structure; and the problem of applicability of a pyrolysis particle detection technology in cultural relic buildings is solved.

Description

technical field [0001] The invention relates to the field of cultural relics buildings, in particular to an electrical fire monitoring method for feature recognition of pyrolysis particles of cultural relics buildings. Background technique [0002] When a substance is heated, it decomposes into particles and gases, and such particles are the smallest components of matter that can exist in a free state. Regardless of the cause of the electrical fire, it is manifested in the early stage that the object generates heat, releases particles, gases, and produces peculiar smell. The main heating elements of electrical faults in high and low voltage power distribution cabinets are cables, load switches and protective appliances. The particles that are decomposed by heat in the power distribution cabinet are mainly smoke particles and gas molecules. The power distribution facilities of cultural relics buildings, especially the power distribution cabinets of some ancient villages are ...

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): G08B17/117G08B17/12G01N15/00
CPCG08B17/117G08B17/12G01N15/00
Inventor 李小白孙超丁宏军
Owner SHENYANG FIRE RES INST OF MEM