Pyrolysis product monitoring device and method based on P-Q regression model of phenolic resin low-temperature pyrolysis gas

A low-temperature pyrolysis and regression model technology, applied in measurement devices, complex mathematical operations, instruments, etc., can solve problems such as insufficient fire accident monitoring capabilities, and achieve more convenient measurement data and avoid accidents.

Pending Publication Date: 2021-11-02
HARBIN UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0016] The purpose of the present invention is to solve the existing problem of insufficient fire accident monitoring ability caused by igniting flammable thermal insulation wall materials, and propose a pyrolysis product monitoring device based on the P-Q regression model of phenolic resin low-temperature pyrolysis gas and methods

Method used

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  • Pyrolysis product monitoring device and method based on P-Q regression model of phenolic resin low-temperature pyrolysis gas
  • Pyrolysis product monitoring device and method based on P-Q regression model of phenolic resin low-temperature pyrolysis gas
  • Pyrolysis product monitoring device and method based on P-Q regression model of phenolic resin low-temperature pyrolysis gas

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specific Embodiment approach 1

[0067] A pyrolysis product monitoring device based on the P-Q regression model of the low-temperature pyrolysis gas of phenolic resin in this embodiment, such as figure 1 As shown, its composition includes:

[0068] The gas sampling pressure difference detection module 1 is used to sample the gas generated by the thermal analysis of the thermal insulation material, and realize the real-time detection of the pressure difference between the thermal analysis gas of the thermal insulation material and the standard atmospheric pressure, and the measurement range is 0kPa to 10kPa;

[0069] Clock module 2, used to display the current clock when the instrument is running, if there is a deviation from the standard clock, you can enter the "time setting" menu to modify the clock, and press the enter button to modify;

[0070] The display module 3 is used for human-computer interaction. The human-computer interaction interface is a dot-matrix liquid crystal display, and the SPI liquid cr...

specific Embodiment approach 2

[0092] The difference from the specific embodiment one is that a pyrolysis product monitoring method based on the P-Q regression model of the low-temperature pyrolysis gas of phenolic resin in this embodiment, such as image 3 As shown, the method is realized through the following steps:

[0093] Step 1, using the pyrolysis product monitoring device based on the P-Q regression model of the low-temperature pyrolysis gas of phenolic resin to collect and prepare in real time the pyrolysis gas product released after low-temperature pyrolysis of the phenolic foam insulation material;

[0094]Step 2: extract and analyze the gas components in the pyrolysis gas, and screen and analyze the mixed gas; select toxic and harmful gases, measure the pressure parameter P of the gas, the total gas output Q and the time S, and use mathematical modeling or MATLEB software to analyze Statistical data is used to establish the P-Q regression model to determine the relationship curve and linear rela...

specific Embodiment approach 3

[0099] Different from the first or second specific embodiment, a pyrolysis product monitoring method based on the P-Q regression model of the low-temperature pyrolysis gas of phenolic resin in this embodiment,

[0100] The extraction and analysis of the gas components in the pyrolysis gas described in step two, screening and analysis of the mixed gas; and selecting toxic and harmful gases, measuring the pressure parameter P of the gas, the total gas output (Q) and time (S), using mathematics Modeling or MATLEB software is used to establish a P-Q regression model for statistical data, and determine the relationship curve and linear relationship between P and Q; and then convert it into a risk discrimination index k through an algorithm, as an index to determine whether the phenolic foam insulation material is toxic process, specifically:

[0101] When the phenolic foam insulation material is pyrolyzed at low temperature, the mixed toxic gas is decomposed, and the relationship b...

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Abstract

The invention discloses a pyrolysis product monitoring device and method based on a P-Q regression model of phenolic resin low-temperature pyrolysis gas, and belongs to the field of gas monitoring. At present, the capability of monitoring fire accidents caused by fire breakout of flammable thermal insulation wall materials is insufficient. The pyrolysis product monitoring device based on a P-Q regression model of phenolic resin low-temperature pyrolysis gas is used for collecting and preparing a pyrolysis gas product released after low-temperature pyrolysis of a phenolic foam thermal insulation material in real time, measuring the pressure parameter P of the gas, the total yield Q of the gas and the time S, establishing a P-Q regression model, and converting into a danger judgment index k through an algorithm; if detection data of the phenolic foam thermal insulation material is greater than the danger judgment index k, the phenolic foam thermal insulation material is subjected to low-temperature pyrolysis and generates toxicity. According to the invention, data detection can be carried out on the phenolic foam thermal insulation material in real time, safety protection can be carried out according to a detection result, and personnel poisoning caused by toxic gas generated by low-temperature pyrolysis of the phenolic foam thermal insulation material can be avoided with high probability.

Description

technical field [0001] The invention relates to a pyrolysis product monitoring device and method based on a P-Q regression model of phenolic resin low-temperature pyrolysis gas. Background technique [0002] Regarding the research on toxic gas monitoring instruments, in the mid-to-late 1970s, with the rapid development of computer and instrument science and technology, the use of instrumental analysis to monitor toxic gases was quickly widely used, and at the same time toxic gases also entered the legal system. Specifies the automatic detection phase of mandatory monitoring. Instrumental analysis is the use of experimental phenomena that can directly or indirectly characterize various characteristics of toxic gases, such as chemical, physical, and physiological properties, and then transforms them into what people can directly feel through probes or sensors, amplifiers, and analytical converters. An analytical method for identifying the composition, content, distribution or...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/44G06F17/18
CPCG01N33/442G06F17/18
Inventor 蒋永清杨雨婷
Owner HARBIN UNIV OF SCI & TECH
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