CN115640890A - Method for predicting and evaluating dust explosion wind and electronic equipment - Google Patents
Method for predicting and evaluating dust explosion wind and electronic equipment Download PDFInfo
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Abstract
The method comprises the steps of investigating a dust explosion accident site to obtain technical parameter data of an object to be evaluated; inputting key parameter data in the technical parameter data into a pre-constructed maximum peak wind speed evaluation model respectively and correspondingly for evaluation calculation to obtain a corresponding maximum peak wind speed evaluation value; and comparing the maximum peak wind speed estimated values, and outputting the maximum peak wind speed estimated value as a prediction estimation result. The method effectively realizes the evaluation and prediction of the maximum peak wind speed of dust explosion, and provides powerful method and tool support for disaster rescue and accident investigation and analysis of dust explosion accidents.
Description
Technical Field
The application belongs to the technical field of dust explosion disaster research, and particularly relates to a method for predicting and evaluating dust explosion wind and electronic equipment.
Background
In recent years, with the continuous acceleration of modern industrialization process and the rise of new material application, powder as raw materials, intermediate products and industrial product companion increasingly participates in the large-scale and mechanized production of various industries, the number of powder-related enterprises is greatly increased, dust explosion accidents in the powder-related enterprises also happen occasionally, and serious casualties and property losses are caused.
Relevant researches show that dust explosion release in a confined space relates to multiple physical and chemical reaction processes and is easily subjected to comprehensive influences of factors such as release coefficients, opening pressure, dust dispersion time and the like. Meanwhile, compared with the explosion of combustible gas, the dust explosion pressure rises slowly, the duration time of higher pressure is long, the released energy is large, and the destructiveness of explosion and the burnout degree of surrounding combustible materials are serious. Moreover, some dust explosions can continue along with the explosion, the reaction speed and the explosion pressure are accelerated and increased in a jumping way, and the farther the dust explosion is away from the explosion point, the more serious the damage is. And the blast generated by the initial explosion of the dust can raise the deposited dust to form an explosive mixture in a new space, so that secondary explosion can occur. The secondary explosion is usually higher in pressure and more serious in damage than the primary explosion, and in a continuous production system, the secondary explosion even possibly occurs continuously to form chain explosion, and some explosion can reach the detonation degree. This causes the dust explosion to further add to the uncertainty and complexity of the external explosion dynamics.
However, at present, the prediction and evaluation of the maximum peak wind speed of dust explosion release under the synergistic effect of multiple factors are difficult to accurately grasp, and further the scientific prevention and treatment of the disasters are restricted.
Disclosure of Invention
In order to overcome the problems in the related technologies at least to a certain extent, the application provides a method for predicting and evaluating dust explosion wind and an electronic device, so as to solve the technical problem that an effective method tool is lacked for predicting and evaluating the maximum peak wind speed in the dust explosion accident prevention and treatment process.
In order to achieve the purpose, the following technical scheme is adopted in the application:
in a first aspect of the present invention,
the application provides a method for predicting and evaluating dust explosion wind, which comprises the following steps:
investigating a dust explosion accident site to obtain technical parameter data of an object to be evaluated;
inputting key parameter data in the technical parameter data into a pre-constructed maximum peak wind speed evaluation model respectively and correspondingly for evaluation calculation to obtain a corresponding maximum peak wind speed evaluation value;
and comparing the maximum peak wind speed evaluation values, and outputting the maximum peak wind speed evaluation value as a prediction evaluation result.
Optionally, the parameter type of the key parameter data is a blow-out coefficient of a blow-out surface, and a maximum peak wind speed evaluation model corresponding to the key parameter data is represented as:
wherein v is max Representing the maximum peak wind speed, K v And the venting coefficient of the venting surface is shown.
Optionally, the parameter type of the key parameter data is explosion venting surface opening pressure, and a maximum peak wind speed evaluation model corresponding to the key parameter data is represented as:
v max ＝1157.28P v +1441.26
wherein v is max Representing the maximum peak wind speed, P v Indicating the venting face opening pressure.
Optionally, the parameter type of the key parameter data is dust dispersion time, and a corresponding maximum peak wind speed evaluation model is represented as:
wherein v is max Representing the maximum peak wind speed, t d Indicating the dust dispersion time.
Optionally, the process of constructing the maximum peak wind speed estimation model in advance includes:
taking a key parameter as a research object;
determining the influence of the key parameters on the maximum peak wind speed in dust explosion by using a simulation method, and obtaining corresponding experimental data;
and performing data fitting based on the experimental data, and establishing a maximum peak wind speed evaluation model related to the key parameters.
Optionally, the experimental data is obtained by creating a numerical calculation physical model and performing simulation with dust explosion simulation software.
Optionally, the dust explosion simulation software comprises ANSYS-Fluent tool software.
In a second aspect of the present invention,
the application provides an electronic device, including:
a memory having an executable program stored thereon;
a processor for executing the executable program in the memory to implement the steps of the method described above.
This application adopts above technical scheme, possesses following beneficial effect at least:
according to the technical scheme, in the dust explosion wind speed disaster assessment process, the dust explosion accident site is investigated, and technical parameter data of an object to be assessed are obtained; inputting key parameter data in the technical parameter data into a pre-constructed maximum peak wind speed evaluation model respectively and correspondingly for evaluation calculation to obtain a corresponding maximum peak wind speed evaluation value; and comparing the maximum peak wind speed estimated values, and outputting the maximum peak wind speed estimated value as a prediction estimation result. According to the technical scheme, the maximum peak wind speed of dust explosion is evaluated in a mode of constructing a maximum peak wind speed evaluation model in advance, and an evaluation result is finally obtained.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention.
Drawings
The accompanying drawings are included to provide a further understanding of the technology or prior art of the present application and are incorporated in and constitute a part of this specification. The drawings expressing the embodiments of the present application are used for explaining the technical solutions of the present application, and should not be construed as limiting the technical solutions of the present application.
Fig. 1 is a schematic flow chart illustrating a method for predicting and evaluating dust explosion wind according to an embodiment of the present application;
FIG. 2 is a schematic illustration of a maximum peak wind speed versus bleed coefficient curve in an embodiment of the present application;
FIG. 3 is a schematic illustration of a maximum peak wind speed versus opening pressure curve in one embodiment of the present application;
FIG. 4 is a schematic illustration of a maximum peak wind speed versus dispersion time for one embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail below. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without making any creative effort, shall fall within the protection scope of the present application.
As described in the background, related studies have shown that dust explosion venting in confined spaces involves many physical and chemical reaction processes and is highly susceptible to a combination of factors such as venting coefficient, opening pressure, dust dispersion time, etc. Meanwhile, compared with the explosion of combustible gas, the dust explosion pressure rises slowly, the duration time of higher pressure is long, the released energy is large, and the destructiveness of explosion and the burnout degree of surrounding combustible materials are serious. Moreover, some dust explosions can continue along with the explosion, the reaction speed and the explosion pressure are accelerated and increased in a jumping way, and the farther the dust explosion is away from the explosion point, the more serious the damage is. And the blast generated by the initial explosion of the dust can raise the deposited dust to form an explosive mixture in a new space, so that secondary explosion can occur. The secondary explosion is often higher than the primary explosion pressure and is more serious in damage, and in a continuous production system, the secondary explosion even possibly occurs continuously to form chain explosion, and some explosion can reach the detonation degree. This causes the dust explosion to further add to the uncertainty and complexity of the external explosion dynamics.
However, at present, the prediction and evaluation of the maximum peak wind speed of dust explosion release under the synergistic effect of multiple factors are difficult to accurately grasp, and further the scientific prevention and treatment of the disasters are restricted.
In view of the above, the method for predicting and evaluating dust explosion wind is provided based on a dust-constrained explosion disaster-causing mechanism and a disaster evolution mechanism and by fully considering influence factors such as a release coefficient, an explosion release surface opening pressure and dust dispersion time.
In one embodiment, as shown in fig. 1, the method for predicting and evaluating dust explosion wind provided by the present application includes:
step S110, investigating a dust explosion accident site to obtain technical parameter data of an object to be evaluated;
it is easily understood that the investigation is generally performed by personnel involved in accident investigation, for example, a dust explosion accident occurs in a certain factory, and the field accident investigation finds that the explosion accident originates from a two-car workshop, and the obtained technical parameter data includes that the size (length, width, height) of the workshop where the explosion happens is 6m × 3m × 3m, the discharge coefficient of the explosion discharge surface of the workshop is 0.04, and the window glass opening pressure P is 0.04 v =0.05MPa, the opening time is 0s, the on-site dust is aluminum powder, and the dispersion time of the dust is 200s;
then, step S120 is carried out, key parameter data in the technical parameter data are respectively and correspondingly input into a pre-constructed maximum peak wind speed evaluation model for evaluation calculation, and a corresponding maximum peak wind speed evaluation value is obtained;
specifically, in the technical scheme of the application, the key parameters mainly refer to a venting coefficient of a venting surface, an opening pressure of the venting surface and dust dispersion time;
for example, in this embodiment, the parameter type of the key parameter data is a blow-out coefficient of a blow-out surface, and a corresponding wind speed evaluation model is represented as:
in the expression (1), v max Representing the maximum peak wind speed, K v And the venting coefficient of the venting surface is shown.
Continuing with the foregoing example, let K v If the expression (1) is substituted by =0.04, the maximum peak wind speed estimated value v is obtained accordingly max ＝1443m/s。
Similarly, for example, the parameter type of the key parameter data is the explosion venting surface opening pressure, and the corresponding wind speed estimation model is represented as:
v max ＝1157.28P v +1441.26 (2)
in expression (2), v max Representing the maximum peak wind speed, P v Indicating the explosion venting surface opening pressure.
Continuing the foregoing example, P v Substituting the expression (2) into the expression (0.05 MPa), and obtaining the maximum peak wind speed estimated value v correspondingly maxx ＝1499m/s。
Similarly, for example, the type of the parameter of the key parameter data is dust dispersion time, and the corresponding wind speed estimation model is expressed as:
in expression (3), v max Representing the maximum peak wind speed, t d Indicating the dust dispersion time.
Continuing with the previous example, substituting the dispersion time of 200s into expression (3) results in the maximum peak wind speed estimate v max ＝1370m/s。
After step S120, continuing to step S130, comparing the maximum peak wind speed estimated values obtained in step S120, and outputting the maximum peak wind speed estimated value as the estimation result.
Continuing with the foregoing example, it is apparent that the predicted assessment of the maximum peak wind speed for this plant secondary plant dust explosion event was 1499m/s.
According to the technical scheme, the dust explosion wind speed is evaluated in a mode of constructing a maximum peak wind speed evaluation model in advance, and an evaluation result is finally obtained.
In order to facilitate understanding of the technical solution of the present application, a description is provided below of a process for constructing a maximum peak wind speed estimation model in the technical solution of the present application.
In summary, the maximum peak wind speed estimation model is constructed by using numerical simulation and mathematical statistics analysis methods.
Specifically, firstly, a key parameter is taken as a research object, the influence of the key parameter on the maximum peak wind speed in dust explosion is determined by using a simulation method, and corresponding experimental data is obtained, for example, a numerical calculation physical model is created, and dust explosion simulation software (for example, ANSYS-Fluent tool software) is used for simulation to obtain the experimental data;
and then, performing data fitting on the obtained experimental data, and further establishing a maximum peak wind speed evaluation model related to the key parameter.
For example, in one embodiment, the bleeding factor is selected as a research object, and according to the general characteristics of the dust explosion disaster in the constrained space, the created numerical calculation physical model is a rectangular room with a length of 6m (length) × 3m (width) × 3m (height), wherein a square bleeding surface is arranged on a wall body with a smaller area, the square bleeding surface is completely broken immediately after reaching a set opening pressure, the bleeding surface is positioned at the geometric center of the wall body, no obstacles exist in the room, the ground, the top plate and the wall body are all set as rigid wall surfaces, the ignition source is positioned at the geometric center of the back wall of the room, the distance from the back wall is 0.1m, and the radius of the ignition source is 0.015m. Selecting aluminum powder as an explosion source, uniformly distributing the aluminum powder during ignition, and setting the initial pressure and the initial temperature of the environment in a calculation domain to be 1.01325 multiplied by 105Pa and 300K respectively. All measuring points are located on the central axis of the room, the distance between the measuring point 1 and the rear wall is 0.5m, and the rest measuring points are arranged at equal intervals of 0.5 m.
In order to examine the influence rule of the bleeding coefficient on the maximum peak wind speed, 5 groups of room models with different bleeding coefficients (a physical model is calculated based on the numerical values, and the explosion venting surface is adjusted) are set, and the related bleeding coefficient range is 0.04-0.37. A numerical simulation experiment was performed based on a software tool, and a total of 5 sets of result data were obtained, and the results of the relevant numerical simulation are shown in table 1 below:
TABLE 1 calculation model parameters and calculation results of bleeding coefficient influence parameters
The explosion venting surface relief coefficient (relief coefficient) is a parameter for representing the relative size between the explosion venting surface and the explosion chamber cavity and has strong influence on the maximum peak wind speed, the maximum peak wind speed data under different relief coefficients are given in table 1, and the maximum peak wind speed is in a monotonous descending trend and the descending trend is gradually slowed down along with the increase of the relief coefficient;
data fitting is performed based on the experimental data shown in table 1, and a relationship between the maximum peak wind speed and the bleed-off coefficient is established (as shown in fig. 2, which is a graphical representation of the relationship), so that a maximum peak wind speed evaluation model (as a relational expression shown in expression (1)) corresponding to the critical parameter of the bleed-off coefficient is obtained.
Similarly, in one embodiment, the opening pressure is selected as a research object, a similar numerical calculation physical model is created, 5 groups of room models with different opening pressures are set for examining the influence rule of the opening pressure on the maximum peak wind speed, and the related opening pressure range is 0.01MPa-0.05MPa. A numerical simulation experiment was performed based on a software tool, and a total of 5 sets of result data were obtained, and the results of the relevant numerical simulation are shown in table 2 below:
TABLE 2 calculation model parameters and calculation results of explosion venting surface opening pressure influence parameters
Table 2 shows the variation data of the maximum peak wind speed with the opening pressure of the explosion venting surface, and the maximum peak wind speed is in a monotonous ascending trend with the increase of the opening pressure. Data fitting is performed based on the experimental data shown in table 2, and a relationship between the maximum peak wind speed and the opening pressure is established (as shown in fig. 3, which is a graphical representation of the relationship), so as to obtain a maximum peak wind speed evaluation model (as shown in expression (2)) corresponding to the key parameter of the opening pressure.
Similarly, in one embodiment, the dispersion time is selected as a research object, a similar numerical calculation physical model is created, 5 groups of room models with different aluminum powder dispersion times are set for examining the influence rule of the dispersion pressure on the maximum peak wind speed, and the related aluminum powder dispersion time is 40-200 s. A total of 5 sets of results were obtained from numerical simulation experiments performed based on software tools, and the relevant numerical simulation results are shown in table 3 below:
TABLE 3 calculation model parameters and calculation results of influence parameters of aluminum powder dispersion time
Table 3 shows the variation law of the maximum peak wind speed at different aluminum powder dispersion times, and it can be known from table 3 that the maximum peak wind speed is in a monotonous rising trend and the rising rate is gradually reduced with the increase of the aluminum powder dispersion time;
data fitting is performed based on the experimental data shown in table 3, and a relationship of the maximum peak wind speed with respect to the dispersion time (as shown in fig. 4, which is a graphical representation of this relationship) is established, so as to obtain a maximum peak wind speed evaluation model (as a relational expression shown in expression (3)) corresponding to the key parameter of the opening pressure.
Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application, and as shown in fig. 5, the electronic device 400 includes:
a memory 401 having an executable program stored thereon;
a processor 402 for executing the executable program in the memory 401 to implement the steps of the above method.
With respect to the electronic device 400 in the above embodiment, the specific manner of executing the program in the memory 401 by the processor 402 thereof has been described in detail in the embodiment related to the method, and will not be elaborated here.
While the invention has been described with reference to specific preferred embodiments, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the following claims. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (8)
1. A method for predictive assessment of dust blast air, comprising:
investigating a dust explosion accident site to obtain technical parameter data of an object to be evaluated;
inputting key parameter data in the technical parameter data into a pre-constructed maximum peak wind speed evaluation model respectively and correspondingly for evaluation calculation to obtain a corresponding maximum peak wind speed evaluation value;
and comparing the maximum peak wind speed evaluation values, and outputting the maximum peak wind speed evaluation value as a prediction evaluation result.
2. The method for predicting and evaluating dust explosion wind according to claim 1, wherein the parameter type of the key parameter data is a blow-out surface blow-out coefficient, and a corresponding maximum peak wind speed evaluation model is represented as:
wherein v is max Representing the maximum peak wind speed, K v And the venting coefficient of the venting surface is shown.
3. The method for predicting and evaluating dust explosion wind according to claim 2, wherein the parameter type of the key parameter data is explosion venting surface opening pressure, and a corresponding maximum peak wind speed evaluation model is expressed as:
v max ＝1157.28P v +1441.26
wherein v is max Representing the maximum peak valueWind speed, P v Indicating the explosion venting surface opening pressure.
4. The method for predicting and evaluating dust explosion wind according to claim 3, wherein the parameter type of the key parameter data is dust dispersion time, and the corresponding maximum peak wind speed evaluation model is represented as:
wherein v is max Representing the maximum peak wind speed, t d Indicating the dust dispersion time.
5. The method for predicting and evaluating dust explosion wind according to claim 1, wherein a process of constructing a maximum peak wind speed evaluation model in advance comprises:
taking a key parameter as a research object;
determining the influence of the key parameters on the maximum peak wind speed in dust explosion by using a simulation method, and obtaining corresponding experimental data;
and performing data fitting based on the experimental data, and establishing a maximum peak wind speed evaluation model related to the key parameters.
6. The method for predicting and evaluating dust explosion wind according to claim 5, wherein the experimental data is obtained by creating a numerical calculation physical model and performing simulation with dust explosion simulation software.
7. A method of predictively evaluating dust blast wind as recited in claim 6, wherein said dust blast simulation software comprises ANSYS-Fluent tool software.
8. An electronic device, comprising:
a memory having an executable program stored thereon;
a processor for executing the executable program in the memory to implement the steps of the method of any one of claims 1-7.
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