Method and electronic device for predicting an assessment of a dust explosion wind
By constructing a maximum peak wind speed assessment model and utilizing parameters such as the discharge coefficient, opening pressure, and dispersion time, combined with simulation software, the problem of predicting wind speed in dust explosions was solved, achieving accurate assessment of peak wind speeds in dust explosions and supporting accident investigation and rescue efforts.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING INSTITUTE OF PETROCHEMICAL TECHNOLOGY
- Filing Date
- 2022-10-20
- Publication Date
- 2026-06-16
AI Technical Summary
Existing technologies cannot accurately predict the maximum peak wind speed of dust explosion release under the combined effect of multiple factors, making it difficult to prevent and control dust explosion accidents.
By constructing a maximum peak wind speed assessment model, and using key parameters such as the discharge coefficient, the opening pressure of the explosion vent, and the dust dispersion time, combined with simulation software, the wind speed of dust explosion is predicted.
It enables rapid and accurate assessment of peak wind speeds in dust explosions, provides effective methods and tools for disaster relief and accident investigation, and supports effective control of dust explosion accidents.
Smart Images
Figure CN115640890B_ABST
Abstract
Description
Technical Field
[0001] This application belongs to the field of dust explosion hazard research technology, specifically involving a method and electronic equipment for predicting and assessing dust explosion winds. Background Technology
[0002] In recent years, with the continuous acceleration of modern industrialization and the rise of new material applications, powders, as raw materials, intermediate products and byproducts of industrial products, have increasingly participated in the large-scale and mechanized production of various industries. The number of enterprises involving powders has increased significantly, and dust explosion accidents have occurred frequently in these enterprises, causing serious casualties and property losses.
[0003] Related studies indicate that dust explosions within confined spaces involve multiple physical and chemical reaction processes and are highly susceptible to the combined effects of factors such as the release coefficient, opening pressure, and dust dispersion time. Furthermore, compared to flammable gas explosions, dust explosions exhibit a slower pressure rise, a longer duration of high pressure, and a greater release of energy, resulting in more severe destructiveness and burning of surrounding combustibles. Moreover, some dust explosions show a jump-like acceleration and increase in reaction rate and explosion pressure as the explosion continues, with the destruction becoming more severe the further away from the detonation point. Additionally, the blast wave generated by the initial dust explosion can stir up deposited dust, forming an explosive mixture in the new space, potentially leading to a secondary explosion. Secondary explosions are often higher in pressure and more destructive than the initial explosion; in continuous production systems, secondary explosions may even occur consecutively, forming a chain reaction, some reaching the level of detonation. This further increases the uncertainty and complexity of the external explosion dynamics process in dust explosions.
[0004] However, it is still difficult to accurately predict and assess the maximum peak wind speed of dust explosions under the combined effect of multiple factors, which restricts the scientific prevention and control of such disasters. Summary of the Invention
[0005] To at least partially overcome the problems existing in the related technologies, this application provides a method and electronic device for predicting and assessing dust explosion winds, in order to solve the technical problem of lacking effective methods and tools for predicting and assessing maximum peak wind speeds during the prevention and control of dust explosion accidents.
[0006] To achieve the above objectives, this application adopts the following technical solution:
[0007] Firstly,
[0008] This application provides a method for predicting and assessing dust explosion winds, the method comprising:
[0009] Conduct an investigation at the scene of the dust explosion accident and obtain technical parameter data of the object to be evaluated;
[0010] The key parameter data in the technical parameter data are respectively input into the pre-built maximum peak wind speed evaluation model for evaluation and calculation to obtain the corresponding maximum peak wind speed evaluation value.
[0011] Compare the maximum peak wind speed assessment values and output the largest maximum peak wind speed assessment value as the prediction assessment result.
[0012] Optionally, the parameter type of the key parameter data is the explosion relief surface discharge coefficient, and its corresponding maximum peak wind speed evaluation model is expressed as:
[0013]
[0014] Among them, v max K represents the maximum peak wind speed. v This indicates the venting coefficient of the explosion venting surface.
[0015] Optionally, the parameter type of the key parameter data is the explosion relief surface opening pressure, and its corresponding maximum peak wind speed evaluation model is expressed as:
[0016] v max =1157.28P v +1441.26
[0017] Among them, v max P represents the maximum peak wind speed. v This indicates the pressure required to open the venting surface.
[0018] Optionally, the parameter type of the key parameter data is dust dispersion time, and its corresponding maximum peak wind speed evaluation model is expressed as:
[0019]
[0020] Among them, v max t represents the maximum peak wind speed. d Indicates the dust dispersion time.
[0021] Optionally, the process of pre-constructing a maximum peak wind speed assessment model includes:
[0022] The research focuses on a single key parameter.
[0023] The impact of the key parameters on the maximum peak wind speed in a dust explosion was determined using simulation methods, and corresponding experimental data were obtained.
[0024] Based on the experimental data, a data fitting method was used to establish an evaluation model for the maximum peak wind speed of the key parameter.
[0025] Optionally, the experimental data can be obtained by creating a numerical physical model and using dust explosion simulation software.
[0026] Optionally, the dust explosion simulation software includes the ANSYS-Fluent tool software.
[0027] Secondly,
[0028] This application provides an electronic device, including:
[0029] Memory, on which executable programs are stored;
[0030] A processor is configured to execute the executable program in the memory to implement the steps of the method described above.
[0031] The application employs the above technical solution and has at least the following beneficial effects:
[0032] The technical solution of this application, in the process of assessing the wind speed hazard of dust explosions, involves investigating the dust explosion accident site and obtaining technical parameter data of the object to be assessed. Key parameter data from this technical parameter data are then input into a pre-constructed maximum peak wind speed assessment model for evaluation and calculation, yielding corresponding maximum peak wind speed assessment values. The assessment values are compared, and the highest maximum peak wind speed is output as the predicted assessment result. This technical solution, by pre-constructing a maximum peak wind speed assessment model, assesses the maximum peak wind speed of dust explosions and ultimately obtains the assessment result. This method effectively achieves the assessment and prediction of the maximum peak wind speed of dust explosions, providing powerful methodological tools for disaster relief and accident investigation and analysis in dust explosion accidents.
[0033] Other advantages, objectives, and features of the invention will be set forth in part in the description which follows, and in part will be apparent to those skilled in the art from an examination of the following, or may be learned from the practice of the invention. Attached Figure Description
[0034] The accompanying drawings are used to provide a further understanding of the technical solutions of this application or the prior art, and constitute a part of the specification. The drawings illustrating embodiments of this application, together with the embodiments of this application, are used to explain the technical solutions of this application, but do not constitute a limitation on the technical solutions of this application.
[0035] Figure 1 A flowchart illustrating a method for predicting and assessing dust explosion winds provided in one embodiment of this application;
[0036] Figure 2This is a schematic diagram illustrating the relationship between the maximum peak wind speed and the discharge coefficient in one embodiment of this application;
[0037] Figure 3 This is a schematic diagram illustrating the relationship between the maximum peak wind speed and the opening pressure in one embodiment of this application;
[0038] Figure 4 This is a schematic diagram illustrating the relationship between the maximum peak wind speed and the dispersion time in one embodiment of this application;
[0039] Figure 5 This is a schematic diagram of the structure of an electronic device provided in one embodiment of this application. Detailed Implementation
[0040] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be described in detail below. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. Based on the embodiments in this application, all other implementation methods obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0041] As described in the background section, relevant studies have shown that dust explosions within confined spaces involve multiple physical and chemical reaction processes and are highly susceptible to the combined effects of factors such as the release coefficient, opening pressure, and dust dispersion time. Furthermore, compared to flammable gas explosions, dust explosions exhibit a slower pressure rise, a longer duration of high pressure, and release greater energy, resulting in more severe destructiveness and burning of surrounding combustibles. Moreover, some dust explosions show a jump-like acceleration and increase in reaction rate and explosion pressure as the explosion continues, with the destruction becoming more severe the further away from the detonation point. Additionally, the blast wave generated by the initial dust explosion can stir up deposited dust, forming an explosive mixture in the new space, potentially leading to a secondary explosion. Secondary explosions are often more powerful and destructive than the initial explosion; in continuous production systems, secondary explosions may even occur consecutively, forming a chain reaction, some reaching the level of detonation. This further increases the uncertainty and complexity of the external explosion dynamics process in dust explosions.
[0042] However, it is still difficult to accurately predict and assess the maximum peak wind speed of dust explosions under the combined effect of multiple factors, which restricts the scientific prevention and control of such disasters.
[0043] In response to this, this application proposes a method for predicting and assessing dust explosion winds, based on the disaster-causing mechanism and evolution mechanism of dust confined explosions and taking into full account factors such as the discharge coefficient, the opening pressure of the explosion venting surface, and the dust dispersion time.
[0044] like Figure 1 As shown, in one embodiment, the method for predicting and assessing dust explosion winds proposed in this application includes:
[0045] Step S110: Investigate the dust explosion accident site and obtain the technical parameter data of the object to be evaluated;
[0046] It's easy to understand that the investigation here is generally conducted by personnel involved in accident investigations. For example, if a dust explosion occurs in a factory, the on-site accident investigation finds that the explosion originated in Workshop 2. The obtained technical parameters include: the dimensions (length × width × height) of the workshop where the explosion occurred are 6m × 3m × 3m; the explosion venting coefficient of the workshop's explosion venting surface is 0.04; and the window glass opening pressure P... v =0.05MPa, opening time 0s, on-site dust is aluminum powder and the dust dispersion time is 200s;
[0047] Then, in step S120, the key parameter data in the technical parameter data are input into the pre-built maximum peak wind speed evaluation model for evaluation and calculation to obtain the corresponding maximum peak wind speed evaluation value.
[0048] Specifically, in the technical solution of this application, the key parameters mainly refer to the explosion relief surface discharge coefficient, the explosion relief surface opening pressure, and the dust dispersion time;
[0049] For example, in this embodiment, the parameter type of the key parameter data is the explosion venting surface discharge coefficient, and its corresponding wind speed evaluation model is expressed as follows:
[0050]
[0051] In expression (1), v max K represents the maximum peak wind speed. v This indicates the venting coefficient of the explosion venting surface.
[0052] Continuing with the example above, let's take K... v Substituting 0.04 into expression (1), the corresponding maximum peak wind speed assessment value v is obtained. max =1443m / s.
[0053] Similarly, for example, if the key parameter data is of the explosion relief face opening pressure, its corresponding wind speed assessment model is expressed as:
[0054] v max =1157.28P v +1441.26 (2)
[0055] In expression (2), v max P represents the maximum peak wind speed. v This indicates the pressure required to open the venting surface.
[0056] Continuing with the example above, let P... v Substituting 0.05MPa into expression (2), the corresponding maximum peak wind speed assessment value v is obtained. maxx =1499m / s.
[0057] Similarly, for example, if the key parameter data is of the dust dispersion time type, the corresponding wind speed assessment model is as follows:
[0058]
[0059] In expression (3), v max t represents the maximum peak wind speed. d Indicates the dust dispersion time.
[0060] Continuing with the previous example, substituting the dispersion time of 200s into expression (3), the corresponding maximum peak wind speed assessment value v is obtained. max =1370m / s.
[0061] After step S120, proceed to step S130, compare the maximum peak wind speed evaluation values obtained in step S120, and output the maximum peak wind speed evaluation value as the evaluation result.
[0062] Continuing with the example above, it is clear that the predicted and assessed result for the maximum peak wind speed in the dust explosion accident in Workshop 2 of the factory is 1499 m / s.
[0063] The technical solution of this application assesses the wind speed of dust explosions by pre-constructing a maximum peak wind speed assessment model and finally obtains the assessment results. This method effectively realizes the assessment and prediction of the peak wind speed of dust explosions. The overall method is fast and accurate, providing powerful methodological tools for disaster relief and accident investigation and analysis of dust explosion accidents. This is conducive to the effective control of dust explosion accidents and timely accident investigation and analysis.
[0064] To facilitate understanding of the technical solution of this application, the construction process of the maximum peak wind speed evaluation model in the technical solution of this application will be introduced and explained below.
[0065] In summary, this application uses numerical simulation and mathematical statistical analysis methods to construct a maximum peak wind speed assessment model.
[0066] Specifically, firstly, a key parameter needs to be taken as the research object, and the influence of the key parameter on the maximum peak wind speed in the dust explosion needs to be determined by simulation methods, and the corresponding experimental data can be obtained. For example, a numerical calculation physical model can be created, and dust explosion simulation software (such as ANSYS-Fluent software) can be used to perform simulation to obtain experimental data.
[0067] Subsequently, the obtained experimental data were fitted to establish an evaluation model for the maximum peak wind speed of this key parameter.
[0068] For example, in one embodiment, the venting coefficient is selected as the research object. Based on the general characteristics of dust explosion hazards in a confined space, a numerical calculation physical model is created as a cuboid room with dimensions of 6m (length) × 3m (width) × 3m (height). A square venting surface is set on a relatively small wall, which completely ruptures immediately upon reaching a set opening pressure. The venting surface is located at the geometric center of the wall. There are no obstructions in the room, and the floor, ceiling, and walls are all set as rigid surfaces. The ignition source is located at the geometric center of the rear wall of the room, 0.1m away from the rear wall, with a radius of 0.015m. Aluminum powder is selected as the explosion source, and the aluminum powder is uniformly distributed upon ignition. The initial environmental pressure and initial temperature in the computational domain are set to 1.01325 × 10⁵ Pa and 300 K, respectively. All measuring points are located on the central axis of the room. Measuring point 1 is 0.5m away from the rear wall, and the remaining measuring points are arranged at equal intervals of 0.5m.
[0069] To investigate the influence of the venting coefficient on the maximum peak wind speed, five room models with different venting coefficients (based on the above numerical calculation physical model, with adjustments made to the venting surface) were set up, involving venting coefficients ranging from 0.04 to 0.37. Numerical simulation experiments were conducted using software tools, and a total of five sets of results were obtained. The relevant numerical simulation results are shown in Table 1 below:
[0070] Table 1. Calculation model parameters and results for parameters affecting the discharge coefficient.
[0071]
[0072]
[0073] The explosion relief surface discharge coefficient (discharge coefficient) is a parameter used to represent the relative size between the explosion relief surface and the explosion chamber cavity. It has a strong influence on the maximum peak wind speed. Table 1 shows the maximum peak wind speed data under different discharge coefficients. As the discharge coefficient increases, the maximum peak wind speed shows a monotonically decreasing trend and the decreasing trend gradually slows down.
[0074] Based on the experimental data shown in Table 1, data fitting was performed to establish the relationship between the maximum peak wind speed and the discharge coefficient (e.g., ...). Figure 2The figure shows a graphical representation of this relationship, thus obtaining the maximum peak wind speed assessment model corresponding to the key parameter of the discharge coefficient (as shown in expression (1)).
[0075] Similarly, in one embodiment, the opening pressure was selected as the research object, and a similar numerical calculation physical model was created. To examine the influence of the opening pressure on the maximum peak wind speed, five room models with different opening pressures were set up, involving an opening pressure range of 0.01MPa-0.05MPa. Numerical simulation experiments were conducted using software tools, and a total of five sets of result data were obtained. The relevant numerical simulation results are shown in Table 2 below:
[0076] Table 2. Calculation model parameters and results for parameters affecting the opening pressure of the explosion relief surface.
[0077]
[0078] Table 2 shows the variation of maximum peak wind speed with the opening pressure of the venting surface. As the opening pressure increases, the maximum peak wind speed exhibits a monotonically increasing trend. Based on the experimental data shown in Table 2, data fitting was performed to establish the relationship between the maximum peak wind speed and the opening pressure (e.g., ...). Figure 3 The figure shows a graphical representation of this relationship, thus obtaining the evaluation model of the maximum peak wind speed corresponding to the key parameter of opening pressure (as shown in expression (2)).
[0079] Similarly, in one embodiment, dispersion time was selected as the research object, and a similar numerical calculation physical model was created. To examine the influence of dispersion pressure on the maximum peak wind speed, five room models with different aluminum powder dispersion times, ranging from 40s to 200s, were set up. Numerical simulation experiments were conducted using software tools, and a total of five sets of results were obtained. The relevant numerical simulation results are shown in Table 3 below:
[0080] Table 3. Calculation model parameters and results for parameters affecting aluminum powder dispersion time.
[0081]
[0082] Table 3 shows the variation of the maximum peak wind speed under different aluminum powder dispersion times. As can be seen from Table 3, with the increase of aluminum powder dispersion time, the maximum peak wind speed shows a monotonically increasing trend and the rate of increase gradually decreases.
[0083] Based on the experimental data shown in Table 3, data fitting was performed to establish the relationship between the maximum peak wind speed and the dispersion time (e.g., ...). Figure 4 The figure shows a graphical representation of this relationship, thus obtaining the evaluation model of the maximum peak wind speed corresponding to the key parameter of opening pressure (as shown in expression (3)).
[0084] Figure 5 This is a schematic diagram of the structure of an electronic device provided in one embodiment of this application, as shown below. Figure 5 As shown, the electronic device 400 includes:
[0085] Memory 401, on which an executable program is stored;
[0086] Processor 402 is used to execute the executable program in memory 401 to implement the steps of the above method.
[0087] Regarding the electronic device 400 in the above embodiments, the specific manner in which its processor 402 executes the program in the memory 401 has been described in detail in the embodiments related to the method, and will not be elaborated here.
[0088] The above description is merely a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.
Claims
1. A method for predicting and assessing dust explosion winds, characterized in that, include: Conduct an investigation at the scene of the dust explosion accident and obtain technical parameter data of the object to be evaluated; The key parameter data in the technical parameter data are respectively input into the pre-constructed maximum peak wind speed evaluation model for evaluation and calculation to obtain the corresponding maximum peak wind speed evaluation value; wherein, the parameter type of the key parameter data is at least one of explosion venting surface discharge coefficient, explosion venting surface opening pressure, or dust dispersion time; When the parameter type of the key parameter data is the explosion relief surface discharge coefficient, its corresponding maximum peak wind speed evaluation model is expressed as: in, Indicates the maximum peak wind speed. Indicates the explosion venting coefficient; When the parameter type of the key parameter data is the explosion relief face opening pressure, its corresponding maximum peak wind speed evaluation model is expressed as: in, Indicates the maximum peak wind speed. Indicates the pressure required to open the venting surface; When the parameter type of the key parameter data is dust dispersion time, the corresponding maximum peak wind speed evaluation model is expressed as follows: in, Indicates the maximum peak wind speed. Indicates dust dispersion time; Compare the maximum peak wind speed assessment values and output the largest maximum peak wind speed assessment value as the prediction assessment result.
2. The method for predicting and assessing dust explosion winds according to claim 1, characterized in that, The process of pre-constructing a maximum peak wind speed assessment model includes: The research focuses on a single key parameter. The impact of the key parameters on the maximum peak wind speed in a dust explosion was determined using simulation methods, and corresponding experimental data were obtained. Based on the experimental data, a data fitting method was used to establish an evaluation model for the maximum peak wind speed of the key parameter.
3. The method for predicting and assessing dust explosion winds according to claim 2, characterized in that, The experimental data were obtained by creating a numerical physical model and using dust explosion simulation software.
4. The method for predicting and assessing dust explosion winds according to claim 3, characterized in that, The dust explosion simulation software includes the ANSYS-Fluent tool.
5. An electronic device, characterized in that, include: Memory, on which executable programs are stored; A processor for executing the executable program in the memory to implement the steps of the method according to any one of claims 1-4.