Circulating optimizable fire resistance test flue gas detection method

Abstract

The invention provides a cyclic optimizable fire resistance test flue gas detection method which comprises the following steps: placing an object to be detected in a chimney, collecting a flue gas sample through a flue gas sampler, analyzing flue gas components and concentration in real time by using a gas analyzer, transmitting data to a data acquisition and processing system, and processing to obtain a gas concentration change curve. Therefore, the combustion performance and the fire resistance of the object are judged. And outputting a detection result to the display equipment for optimizing and improving the object to be detected. The steps are repeated to verify and improve the combustion and fire resistance of the object. According to the invention, the detection efficiency and accuracy are improved, and an effective means is provided for research, development and optimization of combustion equipment and materials.

Description

Technical Field

[0001] The present invention relates to the field of gas detection, and specifically refers to a method for detecting flue gas in a fire resistance test that can be cyclically optimized. Background Art

[0002] With the acceleration of industrialization and urbanization, the safety performance of combustion equipment and materials has received increasing attention. Fire resistance tests are an important means to evaluate the combustion performance and fire resistance of combustion equipment and materials. Currently, common fire resistance test methods mainly include simulation tests and actual fire tests. Among them, simulation tests mainly evaluate the combustion performance of combustion equipment and materials through computer simulation and model experiments, while actual fire tests are carried out in an actual fire environment. However, these methods have certain limitations during the test process, such as difficult-to-control test conditions and inaccurate test data. Therefore, it is necessary to study an efficient and accurate method and system for detecting flue gas in a fire resistance test. Summary of the Invention

[0003] Technical Problem: In view of the above problems, the present invention proposes a method for detecting flue gas in a fire resistance test that can be cyclically optimized, and its specific invention content is as follows: Technical Solution

[0004] The technical problem to be solved by the present invention is to overcome the above defects and provide a method for detecting flue gas in a fire resistance test that can be cyclically optimized.

[0005] To solve the above technical problem, the technical solution provided by the present invention is a method for detecting flue gas in a fire resistance test that can be cyclically optimized, including the following steps: Step 1: Provide a flue gas detection system, which includes: a chimney, a flue gas sampler, a gas analyzer, and a data acquisition and processing system; Step 2: Place the object to be detected in the chimney to form a combustion test area; Step 3: Collect flue gas samples in the test area through the flue gas sampler; Step 4: Use the gas analyzer to perform real-time analysis on the collected flue gas samples to detect the gas components and concentrations in the flue gas; Step 5: Transmit the flue gas data detected by the gas analyzer to the data acquisition and processing system; Step 6: The data acquisition and processing system processes the transmitted flue gas data to obtain the gas concentration change curve in the flue gas; Step 7: Judge the combustion performance and fire resistance of the object to be detected according to the gas concentration change curve in the flue gas; Step 8: Output the detection result to a display device for the operator to view and analyze; Step 9: Optimize and improve the object to be detected according to the detection result; Step Ten: Repeat Steps One to Nine to verify and improve the combustion performance and fire resistance of the object to be tested.

[0006] As an improvement, the flue gas sampler includes: a sampling head, a sampling tube, and a flow controller; The gas analyzer includes: a gas sensor, a signal processing unit, and a data transmission module.

[0007] As an improvement, the data acquisition and processing system includes: a data acquisition module, a data processing module, and a data storage module; The display device is a computer or a smartphone.

[0008] As an improvement, the gas concentration change curve includes the following parameters: flue gas temperature, oxygen concentration, carbon dioxide concentration, carbon monoxide concentration, soot concentration, flue gas flow rate, and concentration of other harmful gases in the flue gas.

[0009] As an improvement, the calculation formulas for the parameters are as follows: (1) Flue gas temperature: Calculation formula: T = K*(R^2 / r)^0.5; Where, T is the flue gas temperature (unit: degree Celsius), K is the proportionality constant, R is the thermocouple voltage (unit: volt), and r is the thermocouple resistance (unit: ohm); (2) Oxygen concentration: Calculation formula: C = P / (R*T); Where, C is the oxygen concentration (unit: percentage), P is the partial pressure of oxygen (unit: Pa), R is the gas constant (for oxygen, R≈8.314 J / (mol·K)), and T is the flue gas temperature (unit: Kelvin); (3) Carbon dioxide concentration: Calculation formula: C = P*M / (R*T); Where, C is the carbon dioxide concentration (unit: mg / L), P is the partial pressure of carbon dioxide (unit: Pa), M is the molar mass of carbon dioxide (about 44 mg / mol), R is the gas constant (about 8.314 J / (mol·K)), and T is the flue gas temperature (unit: K); (4) Carbon monoxide concentration: Calculation formula: C = P*M / (R*T); Where, C is the carbon monoxide concentration (unit: mg / L), P is the partial pressure of carbon monoxide (unit: Pa), M is the molar mass of carbon monoxide (about 28 mg / mol), R is the gas constant (about 8.314 J / (mol·K)), and T is the flue gas temperature (unit: K); (5) Soot concentration: Calculation formula: C = m / (A*t); Among them, C is the soot concentration (unit: mg / L), m is the soot mass (unit: mg), A is the cross-sectional area of the flue gas sampler (unit: m^2), and t is the sampling time (unit: seconds); (6) Flue gas flow rate: Calculation formula: Q = Av; Among them, Q is the flue gas flow rate (unit: m^3 / s), A is the cross-sectional area of the flue gas passage (unit: m^2), and v is the flue gas velocity (unit: m / s); (7) Concentration of other harmful gases in the flue gas: Calculation formula: C = P * M / (R * T); Among them, C is the concentration of harmful gases (unit: mg / L or ppm), P is the partial pressure of harmful gases (unit: Pa), M is the molar mass of harmful gases (determined according to specific gases), R is the gas constant (about 8.314 J / (mol·K)), and T is the flue gas temperature (unit: K).

[0010] As an improvement, the method for optimizing and improving the object to be detected is: adjusting the material composition, changing the object structure, or improving the processing technology.

[0011] As an improvement, the number of times of repeating Step 1 to Step 9 is at least three times.

[0012] As an improvement, the size of the combustion test area is at least 1 cubic meter.

[0013] As an improvement, the detection range of the flue gas detection system is: Flue gas temperature: The general detection range is 0 - 1000 degrees Celsius; Oxygen concentration: The general detection range is 0 - 25%; Carbon dioxide concentration: The general detection range is 0 - 5000 mg / L; Carbon monoxide concentration: The general detection range is 0 - 100 mg / L; Soot concentration: The general detection range is 0 - 50 mg / L;.

[0014] This method uses a flue gas sampler, a gas analyzer, and a data acquisition and processing system to collect, analyze, and process the flue gas in the combustion test area in real time, so as to judge the combustion performance and fire resistance of the object to be detected.

[0015] 1. Strong systematicness: This method covers a series of steps from flue gas sampling, analysis to data processing and result output, forming a complete detection system, which is conducive to improving the detection efficiency and accuracy.

[0016] 2. Real-time monitoring: By using a gas analyzer to analyze the flue gas in real time, it is possible to timely and accurately master various parameters in the flue gas, which is conducive to comprehensively monitoring the combustion process.

[0017] 3. Data Processing and Analysis: The data acquisition and processing system processes the flue gas data to obtain the gas concentration change curve, which is convenient for the operator to view and analyze.

[0018] 4. Optimization and Improvement of the Object to be Detected: According to the detection results, the object to be detected can be optimized and improved targeted to improve its combustion performance and fire resistance performance.

[0019] 5. Wide Detection Range: This method can detect various gas components in the flue gas, such as oxygen, carbon dioxide, carbon monoxide, etc., as well as parameters such as dust concentration and flue gas flow rate.

[0020] 6. Wide Applicability: This method can be adjusted and optimized accordingly according to the characteristics of different objects to be detected, and is applicable to various flue gas detection scenarios in fire resistance tests.

[0021] 7. Good Repeatability: By repeating the detection, the combustion performance and fire resistance performance of the object to be detected can be verified and improved, and the reliability of the detection results can be improved.

[0022] 8. Clear Requirements for Detection Equipment: The requirements for equipment such as flue gas samplers and gas analyzers are clarified, which is beneficial to guiding the equipment selection and configuration in practical applications.

[0023] 9. Reasonable Parameter Calculation Formulas: Formulas for parameters such as flue gas temperature, oxygen concentration, carbon dioxide concentration, carbon monoxide concentration, dust concentration, and flue gas flow rate are provided, which is beneficial to accurately calculating and analyzing the detection data.

[0024] 10. Conducive to Environmental Protection and Energy Conservation: By detecting the concentration of harmful gases in the flue gas, it helps to understand the impact of the combustion process on the environment and provides a basis for environmental protection policies and energy conservation measures.

[0025] In summary, the present invention patent provides an effective and real-time flue gas detection method for fire resistance tests, which has high practical value and broad application prospects. On this basis, the detection technology can be further optimized and improved to improve the detection accuracy and efficiency, and contribute to the development of the flue gas detection field in China. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a schematic diagram of the flue gas monitoring process framework of the present invention; MODE OF IMPLEMENTATION

[0028] The present invention will be further described in detail below with reference to the accompanying drawings.

[0029] The present invention will be further described in detail below.

[0030] Example 1

[0031] Flue gas detection system configuration: Chimney: Select a reinforced concrete chimney with a diameter of 800 mm and a height of 10 meters; Flue gas sampler: Select a flue gas sampler with a sampling head, sampling tube and flow controller; Gas analyzer: Select a gas analyzer equipped with a gas sensor, signal processing unit and data transmission module; Data acquisition and processing system: Select a computer or smartphone equipped with a data acquisition module, data processing module and data storage module.

[0032] Detection steps: Step 1: Place the object to be detected inside the chimney to form a combustion test area; Step 2: Collect a flue gas sample from the test area through the flue gas sampler; Step 3: Use the gas analyzer to perform real-time analysis on the collected flue gas sample to detect the gas components and concentrations in the flue gas; Step 4: Transmit the flue gas data detected by the gas analyzer to the data acquisition and processing system; Step 5: The data acquisition and processing system processes the transmitted flue gas data to obtain the gas concentration change curve in the flue gas; Step 6: Based on the gas concentration change curve in the flue gas, judge the combustion performance and fire resistance of the object to be detected; Step 7: Output the detection results to a display device for operators to view and analyze; Step 8: Optimize and improve the object to be detected based on the detection results; Step 9: Repeat Steps 1 to 8 to verify and improve the combustion performance and fire resistance of the object to be detected.

[0033] Example 2

[0034] Flue gas detection system configuration: Chimney: Select a steel chimney with a diameter of 1000 mm and a height of 12 meters; Flue gas sampler: Select a flue gas sampler with a sampling head, sampling tube and flow controller; Gas analyzer: Select a gas analyzer equipped with a gas sensor, signal processing unit and data transmission module; Data acquisition and processing system: Select a computer equipped with a data acquisition module, data processing module and data storage module.

[0035] Detection steps: The steps are the same as in Example 1.

[0036] Example 3

[0037] Flue gas detection system configuration: Chimney: Select a fiberglass chimney with a diameter of 800 mm and a height of 8 meters; Flue gas sampler: Select a flue gas sampler with a sampling head, sampling tube, and flow controller; Gas analyzer: Select a gas analyzer equipped with a gas sensor, signal processing unit, and data transmission module; Data acquisition and processing system: Select a smartphone equipped with a data acquisition module, data processing module, and data storage module.

[0038] Detection steps: The steps are the same as those in Example 1.

[0039] Experiments were conducted according to the above three examples, and the results are as follows:

[0040] Example 4: Object to be detected: Concrete structural building materials; Detection indicators: Flue gas temperature, oxygen concentration, carbon dioxide concentration, carbon monoxide concentration, dust concentration; Detection results: The flue gas temperature reached a maximum of 800 degrees Celsius, the oxygen concentration fluctuated between 15% - 20%, the carbon dioxide concentration was between 22 - 980 mg / L, the carbon monoxide concentration was between 0 - 99 mg / L, and the dust concentration was between 0 - 24.5 mg / L; The data acquisition and processing system processes the transmitted flue gas data to obtain the gas concentration change curve in the flue gas; Curve length: 21 minutes; Example 5: Object to be detected: Steel structural building materials; Detection indicators: Flue gas temperature, oxygen concentration, carbon dioxide concentration, carbon monoxide concentration, dust concentration; Detection results: The flue gas temperature reached a maximum of 1000 degrees Celsius, the oxygen concentration fluctuated between 17% - 25%, the carbon dioxide concentration was between 325 - 3000 mg / L, the carbon monoxide concentration was between 15 - 60 mg / L, and the dust concentration was between 5 - 20 mg / L; The data acquisition and processing system processes the transmitted flue gas data to obtain the gas concentration change curve in the flue gas; Curve length: 4 hours; Example 6: Object to be detected: Wood structural building materials; Detection indicators: Flue gas temperature, oxygen concentration, carbon dioxide concentration, carbon monoxide concentration, dust concentration; Test results: The highest flue gas temperature reached 600 degrees Celsius, the oxygen concentration fluctuated between 13.6% and 20%, the carbon dioxide concentration was between 110 - 800 mg / L, the carbon monoxide concentration was between 0 - 54 mg / L, and the dust concentration was between 0 - 12 mg / L; The data acquisition and processing system processes the transmitted flue gas data to obtain the gas concentration change curve in the flue gas; Curve length: 60 minutes; The above describes the present invention and its implementation manners. Such description is not restrictive. What is shown in the drawings is only one of the implementation manners of the present invention, and the actual structure is not limited thereto. In general, if those of ordinary skill in the art are inspired by it and, without departing from the purpose of the present invention, design similar structural manners and embodiments to this technical solution without creative efforts, they shall fall within the protection scope of the present invention.

Claims

1. A cyclic optimizable flue gas detection method for fire resistance tests, characterized in that, it includes the following steps: Step 1: Provide a flue gas detection system, which includes: a chimney, a flue gas sampler, a gas analyzer, and a data acquisition and processing system; Step 2: Place the object to be detected inside the chimney to form a combustion test area; Step 3: Collect flue gas samples in the test area through the flue gas sampler; Step 4: Use the gas analyzer to perform real-time analysis on the collected flue gas samples to detect the gas components and concentrations in the flue gas; Step 5: Transmit the flue gas data detected by the gas analyzer to the data acquisition and processing system; Step 6: The data acquisition and processing system processes the transmitted flue gas data to obtain the gas concentration change curve in the flue gas; Step 7: Based on the gas concentration change curve in the flue gas, judge the combustion performance and fire resistance performance of the object to be detected; Step 8: Output the detection results to a display device for the operator to view and analyze; Step 9: Optimize and improve the object to be detected according to the detection results; Step 10: Repeat Steps 1 to 9 to verify and improve the combustion performance and fire resistance performance of the object to be detected.

2. A cyclic optimizable flue gas detection method for fire resistance tests according to claim 1, characterized in that, the flue gas sampler includes: a sampling head, a sampling pipe, and a flow controller; the gas analyzer includes: a gas sensor, a signal processing unit, and a data transmission module.

3. A cyclic optimizable flue gas detection method for fire resistance tests according to claim 1, characterized in that, the data acquisition and processing system includes: a data acquisition module, a data processing module, and a data storage module; the display device is a computer or a smart phone.

4. A cyclic optimizable flue gas detection method for fire resistance tests according to claim 1, characterized in that, the gas concentration change curve includes the following parameters: flue gas temperature, oxygen concentration, carbon dioxide concentration, carbon monoxide concentration, soot concentration, flue gas flow rate, and concentrations of other harmful gases in the flue gas.

5. A cyclic optimizable flue gas detection method for fire resistance tests according to claim 4, characterized in that, the calculation formulas for the parameters are as follows: (1) Flue gas temperature: Calculation formula: T = K * (R^2 / r)^0.5; Where, T is the flue gas temperature (unit: degree Celsius), K is a proportionality constant, R is the thermocouple voltage (unit: volt), and r is the thermocouple resistance (unit: ohm); (2) Oxygen concentration: Calculation formula: C = P / (R * T); Where, C is the oxygen concentration (unit: percentage), P is the partial pressure of oxygen (unit: pascal), R is the gas constant (for oxygen, R ≈ 8.314 J / (mol·K)), and T is the flue gas temperature (unit: Kelvin); (3) Carbon dioxide concentration: Calculation formula: C = P * M / (R * T); Among them, C is the carbon dioxide concentration (unit: mg / L), P is the partial pressure of carbon dioxide (unit: Pa), M is the molar mass of carbon dioxide (about 44 mg / mol), R is the gas constant (about 8.314 J / (mol·K)), and T is the flue gas temperature (unit: K); (4) Carbon monoxide concentration: Calculation formula: C = P * M / (R * T); Among them, C is the carbon monoxide concentration (unit: mg / L), P is the partial pressure of carbon monoxide (unit: Pa), M is the molar mass of carbon monoxide (about 28 mg / mol), R is the gas constant (about 8.314 J / (mol·K)), and T is the flue gas temperature (unit: K); (5) Dust concentration: Calculation formula: C = m / (A * t); Among them, C is the dust concentration (unit: mg / L), m is the dust mass (unit: mg), A is the cross-sectional area of the flue gas sampler (unit: m^2), and t is the sampling time (unit: second); (6) Flue gas flow rate: Calculation formula: Q = A * v; Among them, Q is the flue gas flow rate (unit: m^3 / s), A is the cross-sectional area of the flue gas passage (unit: m^2), and v is the flue gas velocity (unit: m / s); (7) Concentration of other harmful gases in the flue gas: Calculation formula: C = P * M / (R * T); Among them, C is the concentration of harmful gases (unit: mg / L or ppm), P is the partial pressure of harmful gases (unit: Pa), M is the molar mass of harmful gases (determined according to the specific gas), R is the gas constant (about 8.314 J / (mol·K)), and T is the flue gas temperature (unit: K).

6. A method for detecting flue gas in a fire resistance test with cyclic optimization as claimed in claim 1, characterized in that the way to optimize and improve the object to be detected is: adjusting the material composition, changing the object structure or improving the processing technology.

7. A method for detecting flue gas in a fire resistance test with cyclic optimization as claimed in claim 1, characterized in that the number of times of repeating steps one to nine is at least three times.

8. A method for detecting flue gas in a fire resistance test with cyclic optimization as claimed in claim 1, characterized in that the size of the combustion test area is at least 1 cubic meter.

9. A method for detecting flue gas in a fire resistance test with cyclic optimization as claimed in claim 5, characterized in that the detection range of the flue gas detection system is: Flue gas temperature: The general detection range is 0 - 1000 degrees Celsius; Oxygen concentration: The general detection range is 0 - 25%; Carbon dioxide concentration: The general detection range is 0 - 5000 mg / L; Carbon monoxide concentration: The general detection range is 0 - 100 mg / L; Dust concentration: The general detection range is 0 - 50 mg / L.

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