CN-122021075-A - Method and device for predicting explosion risk based on working condition self-adaptive fractal dimension

Abstract

The application relates to a method and a device for predicting explosion risk based on a working condition self-adaptive fractal dimension, in particular to the technical field of explosion safety; the method comprises the steps of determining a flow field working condition in a closed space according to environment monitoring data and space structure data, determining a fractal dimension and a flame acceleration critical radius which are used for adaptively changing along with turbulence intensity of the flow field working condition, determining an explosion overpressure prediction result of a combustible mixture in the closed space according to the fractal dimension and the flame acceleration critical radius by using an overpressure prediction model, and finally determining an explosion risk level corresponding to the closed space according to the explosion overpressure prediction result. The application can self-adapt to the flame propagation characteristics corresponding to the fluid working condition to predict the overpressure of the blasting, thereby improving the accuracy of the overpressure prediction of the blasting.

Inventors

• ZHAO HAORAN
• WANG HUAILIANG
• LIU SIHAN

Assignees

• 东北大学

Dates

Publication Date

20260512

Application Date

20260413

Claims (10)

1. 1. The method for predicting the explosion risk based on the working condition self-adaptive fractal dimension is characterized by comprising the following steps of: Acquiring environment monitoring data and space structure data of a closed space; according to the environment monitoring data and the space structure data, determining a flow field working condition in the closed space, wherein the flow field working condition is used for determining a fractal dimension and a flame acceleration critical radius, and the fractal dimension and the flame acceleration critical radius adaptively change along with the turbulence intensity of the flow field working condition; Determining a flame explosion overpressure prediction result of the combustible mixture in the closed space according to the fractal dimension and the flame acceleration critical radius by using an overpressure prediction model; and determining the explosion risk level corresponding to the closed space according to the explosion overpressure prediction result.
2. 2. The method of claim 1, wherein the determining, using an overpressure prediction model, a flame explosion overpressure prediction of the combustible mixture in the enclosed space based on the fractal dimension and a critical radius of flame acceleration, comprises: Determining the fractal dimension and the flame acceleration critical radius according to the turbulent flow intensity and the laminar flame speed corresponding to the flow field working condition; correcting a flame surface area and a laminar flame speed corresponding to the combustible mixture based on the fractal dimension and a flame acceleration critical radius; and generating an overpressure prediction curve according to the flame surface area and the laminar flame speed by using the overpressure prediction model, and taking the overpressure prediction curve as a flame explosion overpressure prediction result.
3. 3. The method of claim 2, wherein the determining the fractal dimension and the critical radius of flame acceleration based on the turbulent intensity and laminar flame speed corresponding to the flow field conditions comprises: And calculating the fractal dimension and the flame acceleration critical radius based on the turbulence intensity and the laminar flame speed by using a preset empirical formula, wherein the preset empirical formula is constructed based on an empirical fitting index and an empirical correction coefficient.
4. 4. The method of claim 2, wherein the modifying the flame surface area and laminar flame speed corresponding to the combustible mixture based on the fractal dimension and flame acceleration critical radius comprises: determining the flame surface area corresponding to the combustible mixture according to the flame acceleration critical radius and the fractal dimension; and correcting the initial laminar flame speed in the environment monitoring data based on the pressure correction coefficient and the temperature correction coefficient corresponding to the closed space, and determining the laminar flame speed corresponding to the combustible mixture.
5. 5. The method of claim 2, wherein generating an overpressure prediction curve from the flame surface area and laminar flame speed using the overpressure prediction model comprises: Determining initial monitoring data corresponding to the closed space based on the environment monitoring data and the space structure data; and inputting the initial monitoring data into the overpressure prediction model, solving the overpressure prediction model through numerical integration based on the flame surface area and the laminar flame speed, and calculating the explosion overpressure at each moment time step by time step to generate the overpressure prediction curve.
6. 6. The method according to claim 2, wherein the determining the explosion risk level corresponding to the enclosed space according to the explosion overpressure prediction result includes: extracting an overpressure peak value of the closed space from the explosion overpressure prediction result; determining critical overpressure of the closed space according to the space structure data, and determining a risk division rule corresponding to the closed space based on the critical overpressure; and determining the explosion risk level corresponding to the overpressure peak value of the closed space according to the risk division rule.
7. 7. The method according to claim 1, wherein the method further comprises: and determining a grading prevention and control strategy corresponding to the explosion risk grade, and adjusting the space structure of the closed space according to the grading prevention and control strategy.
8. 8. The utility model provides a fire and explosion risk prediction device based on operating mode self-adaptation fractal dimension which characterized in that includes: the acquisition module is configured to acquire environment monitoring data and space structure data of the closed space; The first determining module is configured to determine a flow field working condition in the closed space according to the environment monitoring data and the space structure data, wherein the flow field working condition is used for determining a fractal dimension and a flame acceleration critical radius, and the fractal dimension and the flame acceleration critical radius are adaptively changed along with the turbulence intensity of the flow field working condition; a prediction module configured to determine a flame explosion overpressure prediction result of the combustible mixture in the enclosed space according to the fractal dimension and a flame acceleration critical radius using an overpressure prediction model; And the second determining module is configured to determine the explosion risk level corresponding to the closed space according to the explosion overpressure prediction result.
9. 9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the method of any of claims 1 to 7.
10. 10. An electronic device comprising a storage medium, a processor and a computer program stored on the storage medium and executable on the processor, characterized in that the processor implements the method of any one of claims 1 to 7 when executing the computer program.

Description

Method and device for predicting explosion risk based on working condition self-adaptive fractal dimension Technical Field The application relates to the technical field of explosion safety, in particular to an explosion risk prediction method and device based on a working condition self-adaptive fractal dimension. Background Along with the rapid development of industrial production, urban underground space, energy storage and transportation, chemical devices and special closed cabins, the closed space is limited by poor ventilation conditions and medium diffusion, once combustible mixed gas is formed and an ignition source is encountered, rapid combustion and explosion are extremely easy to occur, and the explosion risk is predicted, so that the control capacity of the closed space can be effectively improved. In the related art, the flame explosion prediction is mainly carried out according to the fixed fractal dimension of the flame propagation physical process, the change of the flame acceleration critical radius and the fractal dimension along with the turbulent flow intensity under different working conditions is ignored, the real flame acceleration effect under different working conditions is difficult to reflect, and the flame explosion risk prediction precision is insufficient. Disclosure of Invention In view of the above, the application provides a method and a device for predicting the explosion risk based on the working condition self-adaptive fractal dimension, which mainly aims to improve the technical problems that the related technology mainly carries out explosion prediction according to the fixed fractal dimension of the flame propagation physical process, ignores the change of the fractal dimension along with the turbulence intensity under different working conditions, is difficult to reflect the real flame acceleration effect under different working conditions, and further causes insufficient explosion risk prediction precision. In a first aspect, the application provides a method for predicting explosion risk based on a working condition self-adaptive fractal dimension, which comprises the following steps: Acquiring environment monitoring data and space structure data of a closed space; According to the environment monitoring data and the space structure data, determining a flow field working condition in the closed space, wherein the flow field working condition is used for determining a fractal dimension and a flame acceleration critical radius, and the fractal dimension and the flame acceleration critical radius adaptively change along with the turbulence intensity of the flow field working condition; determining a flame explosion overpressure prediction result of the combustible mixture in the closed space according to the fractal dimension and the flame acceleration critical radius by using the overpressure prediction model; and determining the explosion risk level corresponding to the closed space according to the explosion overpressure prediction result. In a second aspect, the present application provides a device for predicting explosion risk based on a working condition adaptive fractal dimension, the device comprising: the acquisition module is configured to acquire environment monitoring data and space structure data of the closed space; The first determining module is configured to determine a flow field working condition in the closed space according to the environment monitoring data and the space structure data, wherein the flow field working condition is used for determining a fractal dimension and a flame acceleration critical radius, and the fractal dimension and the flame acceleration critical radius are adaptively changed along with the turbulence intensity of the flow field working condition; The prediction module is configured to determine a flame explosion overpressure prediction result of the combustible mixture in the closed space according to the fractal dimension and the flame acceleration critical radius by using the overpressure prediction model; and the second determining module is configured to determine the explosion risk level corresponding to the closed space according to the explosion overpressure prediction result. In a third aspect, the present application provides a computer readable storage medium having stored thereon a computer program which when executed by a processor implements the method of the first aspect. In a fourth aspect, the application provides an electronic device comprising a storage medium, a processor and a computer program stored on the storage medium and executable on the processor, the processor implementing the method of the first aspect when executing the computer program. In a fifth aspect, the application provides a computer program product comprising a computer program which, when executed by a processor, implements the method of the first aspect. According to the technical scheme, the explosion risk prediction method and