CN110879919B - Sectional simulation method for poison diffusion under explosion effect - Google Patents
Sectional simulation method for poison diffusion under explosion effect Download PDFInfo
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- CN110879919B CN110879919B CN201911127789.6A CN201911127789A CN110879919B CN 110879919 B CN110879919 B CN 110879919B CN 201911127789 A CN201911127789 A CN 201911127789A CN 110879919 B CN110879919 B CN 110879919B
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Abstract
The utility model provides a sectional simulation method for poison diffusion under the action of explosion, which comprises the following steps: obtaining an explosion driving load curve; carrying out sectional simulation on poison diffusion under the action of explosion by using fluid mechanics simulation software; the segment simulation includes: simulating a poison explosion dispersion section, and introducing an explosion driving load curve to simulate and obtain a poison density cloud chart and/or a temperature distribution chart of the poison explosion dispersion section; and simulating the poison cloud cluster diffusion section, and simulating to obtain a poison density cloud picture and/or a temperature distribution diagram of the poison cloud cluster diffusion section by taking each parameter at the end of the simulation of the poison explosion dispersion section as an initial value. The whole process of poison diffusion under the explosion effect is simulated by using fluid mechanics simulation software, and quantitative values and distribution rules of concentration and/or temperature at different positions of the poison are obtained, so that the concentration and/or time-varying conditions of the poison cloud and mist at different positions are monitored, technical support is provided for rescue workers, the safety of the explosion rescue workers is ensured, and the rescue efficiency is improved.
Description
Technical Field
The utility model relates to the technical field of safety protection, in particular to a sectional simulation method for poison diffusion under the action of explosion.
Background
In recent years, the explosion accidents of the continuously occurring dangerous chemicals collect 'burning, explosion and toxicity' in the body, and the dangerous accidents are large in variety and quantity and serious in hazard.
In the accident rescue process, the poison expansion condition under the explosion effect is unclear, the concentration distribution and the rule of the poison are not mastered, the types and the degree of the chemical hazards can be roughly judged, and the accurate protection is difficult to carry out, so that the rescue work is slow in progress.
The diffusion process of the poison under the action of an explosion can be roughly in two stages: an explosive dispersion section and a cloud diffusion section. The explosion dispersion section is used for strongly dispersing the poison under the action of shock waves, and the cloud cluster dispersion section is used for carrying out thermal lifting motion relative to the atmosphere by overcoming gravity and rising resistance of the poison cloud cluster under the action of buoyancy. The strong shock wave of the explosion dispersion section plays a leading role in the diffusion of poison, and the damage in the explosion dispersion range is the most serious and is a rescue core area. The explosion effect directly affects the diameter, range, aerosol particle size and concentration distribution of poison in the cloud, so that all the conditions after the explosion dispersion section is completed are initial conditions of the cloud diffusion section.
At present, researchers in related fields at home and abroad mostly assume that the poison is continuously released at a constant speed when researching the poison diffusion, namely, the situation under the action of explosion is not considered. When researching poison diffusion under the explosion effect, because of the complexity of the explosion process, it is generally assumed that the poison in the primary cloud after the explosion is uniformly distributed, and a corresponding numerical model and a calculation method are established according to the assumption, although the diffusion trend of the cloud after the explosion can be approximately reflected, the error between the calculated value and the actual poison cloud diffusion value is larger, and the use in the actual rescue process is not facilitated.
Thus, there is a need in the art for a method of simulating the diffusion of a poison in a staged manner under the action of an explosion.
In view of this, the present utility model has been proposed.
Disclosure of Invention
The utility model aims to provide a sectional simulation method for poison diffusion under the action of explosion so as to solve at least one technical problem.
Specifically, the utility model provides a sectional simulation method for poison diffusion under the action of explosion, which comprises the following steps:
obtaining an explosion driving load curve;
carrying out sectional simulation on poison diffusion under the action of explosion by using fluid mechanics simulation software;
the segment simulation comprises the following steps:
simulating a poison explosion dispersion section, and introducing an explosion driving load curve to simulate and obtain a poison density cloud chart and/or a temperature distribution chart of the poison explosion dispersion section;
and simulating the poison cloud cluster diffusion section, and simulating to obtain a poison density cloud picture and/or a temperature distribution diagram of the poison cloud cluster diffusion section by taking each parameter at the end of the simulation of the poison explosion dispersion section as an initial value.
By adopting the scheme, the whole process of poison diffusion under the explosion effect is simulated by using the hydrodynamic simulation software, and the quantized values and the distribution rules of the concentration and/or the temperature of the poison at different positions are obtained, so that the concentration of the poison cloud and the mist at different positions and/or the change condition with time are monitored, technical support is provided for rescue workers, the safety of the explosion rescue workers is ensured, and the rescue efficiency is improved. And taking various parameters at the end of the poison explosion dispersion section as initial conditions, carrying out simulation calculation on the poison cloud cluster dispersion section, namely the whole process of poison diffusion under the explosion effect by using fluid mechanics simulation software, so as to obtain concentration and/or quantized values and distribution rules at different positions of the poison, wherein the simulated result is more accurate. The toxicant comprises liquid chlorine, ammonia and other dangerous chemicals, the fluid mechanics simulation software can be any one of ANSYS-FLUENT, ANSYS-CFX and STAR-CCM+, the explosion drive is a substance for generating an explosion effect, the explosion drive can be common TNT and other explosives, and can also be other inflammable and explosive dangerous chemicals, and the explosion drive load curve is an explosion drive pressure-time curve or an explosion drive temperature-time curve and is an explosion drive pressure or temperature-time relation curve in the throwing process.
Further, the explosion-driven load pressure-time curve is calibrated by a trial and error method, comprising the following steps:
carrying out a plurality of groups of static explosion tests on the explosion drive, and determining the acting time of the load of the explosion drive and the throwing range of the explosion drive;
and (3) fitting an exponential function y=a+b×c×x to the explosion driving load curve, calculating a throwing range by using the curve, and determining the explosion driving load curve when the throwing range is matched with the experimental value.
By adopting the scheme, the explosion driving is described to change along with time, so that the poison is simulated to be thrown at the explosion dispersion section, and the simulated data of the explosion dispersion section is more accurate; the strong shock wave of the explosion dispersion section plays a leading role in the diffusion of poison, the damage in the explosion throwing range is the most serious, the explosion dispersion section is a rescue core area, and the accurate simulation of the condition of the explosion dispersion section can effectively guide rescue and reduce casualties. Curve fitting can be performed using any of origin, curveExpert Pro, aTool software.
Further, in the poison explosion dispersion section simulation process, the divided grids are set to be divergent unstructured grids. Preferably, the meshing is arranged to be divergent unstructured meshing at a growth rate of 1-2 from the pressure inlet to the pressure outlet.
By adopting the scheme, the method is suitable for the movement track of the poison explosion diffusion process, and the density and the temperature of the poison in the grid are measured more accurately.
Further, in the poison cloud cluster diffusion section simulation process, the divided grids are set to be non-uniform staggered grids.
By adopting the scheme, the method is suitable for slow diffusion in the poison cloud cluster diffusion process, and the density and the temperature of the poison in the grid are measured more accurately.
Further, in the simulation process of the toxicant explosion dispersion section, a standard k-epsilon turbulence model is set, an exponential function corresponding to an explosion driving load curve is led in through a custom function, and a SIMPLE algorithm is utilized for solving.
Furthermore, in the simulation process of the poison cloud cluster diffusion section, a standard k-epsilon turbulence model is set, and a momentum equation, a continuous equation, an energy equation and a k-epsilon equation are solved iteratively by using a SIMPLE algorithm.
By adopting the scheme, the method is suitable for the movement track of the poison explosion diffusion process, and the density and the temperature of the poison in the grid are measured more accurately. The SIMPLE algorithm is an abbreviation of English "Semi-Implicit Method for Pressure-Linked Equations", meaning "Semi-implicit method for solving a pressure coupling equation set", and the standard k-epsilon turbulence model is a Semi-empirical formula suitable for flow process simulation of complete turbulence. The continuous equation, the momentum equation and the energy equation are respectively derived according to the conservation law of mass, the Newton's second law and the conservation law of energy.
Preferably, the SIMPLE algorithm adopts a first-order fully-hidden time discrete format or a second-order fully-hidden time discrete format.
By adopting the scheme, better calculation accuracy and calculation efficiency are ensured under the turbulence model.
Furthermore, in the simulation process of the poison cloud cluster diffusion section, a central difference scheme for a diffusion term and a power function scheme for a convection term are adopted, and a continuous equation is converted into a pressure correction equation.
By adopting the scheme, the method accords with the poison cloud diffusion track and improves the operation precision.
Further, in the simulation process of the toxicant explosion dispersion section, the grid is set in an encryption mode, and simulation is repeated until a grid independent solution is obtained.
By adopting the scheme, the grid interval is reduced, the grids are encrypted, the obtained values of repeated simulation are not greatly different, namely the obtained values are independent of the grids, the influence of grid arrangement on poison explosion dispersion section simulation is eliminated, and the calculation accuracy is improved.
Further, in the simulation process of the poison cloud cluster diffusion section, the grid encryption setting is included, and the simulation is repeated until a grid independent solution is obtained.
By adopting the scheme, the influence of grid setting on simulation of the poison cloud cluster diffusion section is eliminated, and the calculation accuracy is improved.
Further, the toxicant explosion dispersion section is simulated, and an explosion planning area is established by axisymmetric rotation.
By adopting the scheme, the establishment of the explosion sketching area is simplified, the explosion sketching area is the maximum possible range of poison diffusion, the method is suitable for open land appearance, and the operation efficiency is improved.
Preferably, the toxicant explosion dispersion section is simulated and is led into a 3D model of the explosion development area.
The scheme is adopted. The explosion planning area comprises the terrain, house distribution or indoor arrangement of the explosion occurrence place, and the like, so that the simulation is more accurate.
Further, the segment simulation further comprises poison correction diffusion simulation, and the method comprises the following steps:
introducing a simulation result of a poison cloud cluster diffusion section;
collecting field data;
and modifying the node data, and correspondingly changing the nearby node data.
By adopting the scheme, the concentration sensor and/or the temperature sensor carried by the on-site rescue personnel can be used for measuring the data of the node corresponding to the coordinate modification simulation area, the density, the temperature change, the secondary explosion caused by chemical reaction and the like caused by personnel flow and fire extinguishment can cause the change of poison density distribution and temperature distribution, the data can be timely adjusted according to the actual situation through poison correction diffusion simulation, the on-site situation can be simulated in real time, the rescue efficiency is improved, and the danger caused by secondary explosion is prevented.
Further, the poison correction diffusion simulation further comprises the following steps:
and (3) performing secondary explosion simulation, namely introducing a secondary explosion driving load curve to perform simulation.
By adopting the scheme, density and temperature changes caused by personnel flowing, fire extinguishment and the like as well as poison density and temperature changes caused by secondary explosion can be corrected in time, rescue is guided in real time, and the secondary explosion is driven into combustible gas or combustible floating powder which causes secondary explosion.
Further, the poison correction diffusion simulation is carried out, and a rescue system is utilized to carry out on-site data acquisition and node data modification, wherein the rescue system comprises rescue center equipment and mobile terminal equipment; the rescue center equipment comprises an analog unit and a first wireless transmission unit, wherein the analog unit is used for modifying node data; the mobile terminal device comprises an information collection unit, a warning unit and a second wireless transmission unit, wherein the information collection unit is used for collecting poison density and temperature at different positions on a rescue scene, and the warning unit is used for warning rescue workers away from a high-risk area and giving an escape scheme; the second wireless transmission unit is in wireless communication connection with the first wireless transmission unit.
By adopting the scheme, the mobile terminal equipment is carried on rescue workers or unmanned aerial vehicles, the information collecting unit is used for collecting poison density and temperature at different positions of a rescue site, the warning unit is used for warning the rescue workers to be far away from a high-risk area, the second wireless transmission unit is used for transmitting collected information, and the high-risk area is an area with the poison density and the overhigh temperature, which is extremely easy to damage the human body and cause secondary explosion, so that rescue casualties are reduced; the rescue center equipment receives data of a rescue site through the first wireless transmission unit, and performs real-time simulation on the site through the sectional simulation method of poison diffusion under the explosion effect, so as to divide a high-risk area and warn rescue workers.
Further, the information collecting unit comprises a temperature sensor, a combustible gas detector, a dust concentration measuring instrument and a satellite positioning device.
By adopting the scheme, the poison temperature, the concentration of common combustible gas and the concentration of combustible dust can be acquired so as to be transmitted to the simulation unit for data correction under corresponding coordinates, and a dangerous area is generated.
Further, the mobile terminal device further comprises an interaction unit, wherein the interaction unit is used for reporting the found dangerous situation and rescue situation by the rescue personnel. The interactive unit may employ a control panel operation and/or a voice recognition operation.
By adopting the scheme, the interaction unit performs man-machine interaction through manual and/or voice, and discovers conditions such as open fire, too high dust concentration or effective rescue conditions such as extinguishment of open fire and the like, and the conditions can be marked and reported in time, so that the simulation unit can monitor and correct data of corresponding nodes in a key mode, and the warning unit can prompt dangerous information of other rescue workers.
Further, the mobile terminal device comprises a control unit, and the control unit is electrically connected with the information collection unit, the warning unit, the second wireless transmission unit and the interaction unit.
By adopting the scheme, the control unit is used for controlling and processing information of other units.
Further, the simulation unit includes a display, a processor, and a storage medium, where the display, the storage medium, the first wireless transmission unit, and the processor are electrically connected, and the storage medium includes one or more programs that can be executed by the processor to perform the simulation method described above.
In summary, the utility model has the following beneficial effects:
1. simulating the whole process of poison diffusion under the explosion effect by using fluid mechanics simulation software to obtain quantized values and distribution rules of concentration and/or temperature at different positions of the poison so as to monitor the concentration and/or time-varying condition of the poison cloud at different positions, provide technical support for rescue workers, ensure the safety of the explosion rescue workers and improve rescue efficiency;
2. each parameter can be input according to the situation, so that the accuracy of poison diffusion data under the explosion effect measured by the method can be effectively ensured;
3. taking all parameters at the end of the poison explosion dispersion section as initial conditions, using fluid mechanics simulation software to simulate and calculate the whole process of poison cloud diffusion section, namely the poison diffusion under the explosion effect, so as to obtain concentration and/or quantized values and distribution rules at different positions of the poison, wherein the simulated result is more accurate;
4. the real-time data and the data of the corresponding nodes of the coordinate modification simulation area can be measured by using a concentration sensor and/or a temperature sensor carried by a scene rescue person, the density, the temperature change, the secondary explosion caused by chemical reaction and the like caused by the flow of the person and the fire extinguishment can cause the change of poison density distribution and temperature distribution, the data can be timely adjusted according to actual conditions through poison correction diffusion simulation, the scene conditions are simulated in real time, the rescue efficiency is improved, and the danger caused by the secondary explosion is prevented;
5. the mobile terminal equipment is carried on rescue workers or unmanned aerial vehicle, the information collection unit is used for collecting poison density and temperature at different positions of a rescue scene, the warning unit is used for warning the rescue workers to be far away from a high-risk area, the second wireless transmission unit is used for transmitting collected information, and the high-risk area is an area with the poison density and the overhigh temperature, which is extremely easy to damage a human body and cause secondary explosion, so that rescue casualties are reduced;
6. the rescue center equipment receives data of a rescue site through the first wireless transmission unit, and performs real-time simulation on the site through the sectional simulation method of poison diffusion under the explosion effect, so as to divide a high-risk area and warn rescue workers.
Drawings
In order to more clearly illustrate the embodiments of the utility model or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the utility model, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. FIG. 1 is a schematic diagram of one embodiment of a segmented simulation method of poison diffusion under the action of an explosion of the present utility model;
FIG. 2 is a schematic diagram of one embodiment of a poison explosion dispersion section simulation of the present utility model;
FIG. 3 is a schematic diagram of one embodiment of a poison cloud diffusion section simulation of the present utility model;
FIG. 4 is a schematic diagram of one embodiment of a poison correction diffusion section simulation of the present utility model;
FIG. 5 is a schematic diagram of an embodiment of a rescue system according to the present utility model;
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the utility model. Rather, they are merely examples of apparatus and methods consistent with aspects of the utility model as detailed in the accompanying claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the utility model. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any or all possible combinations of one or more of the associated listed items.
The present utility model will be described in detail by examples.
Example 1
Referring to fig. 1, the embodiment provides a sectional simulation method for poison diffusion under the action of explosion, which comprises the following steps:
s100, acquiring an explosion driving load curve;
the poison diffusion under the explosion effect is simulated in a sectional way by using fluid mechanics simulation software,
the segment simulation comprises the following steps:
s200, simulating a poison explosion dispersion section: introducing an explosion driving load curve, and simulating to obtain a poison density cloud picture and/or a temperature distribution diagram of a poison explosion dispersion section;
s300, simulating a poison cloud cluster diffusion section: and taking each parameter at the end of the simulation of the poison explosion dispersion section as an initial value, and obtaining a poison density cloud picture and/or a temperature distribution diagram of the poison cloud cluster dispersion section through simulation.
By adopting the scheme, the whole process of poison diffusion under the explosion effect is simulated by using the hydrodynamic simulation software, and the quantized values and the distribution rules of the concentration and/or the temperature of the poison at different positions are obtained, so that the concentration of the poison cloud and the mist at different positions and/or the change condition with time are monitored, technical support is provided for rescue workers, the safety of the explosion rescue workers is ensured, and the rescue efficiency is improved. And taking various parameters at the end of the poison explosion dispersion section as initial conditions, carrying out simulation calculation on the poison cloud cluster dispersion section, namely the whole process of poison diffusion under the explosion effect by using fluid mechanics simulation software, so as to obtain concentration and/or quantized values and distribution rules at different positions of the poison, wherein the simulated result is more accurate. The toxicant comprises liquid chlorine, ammonia and other dangerous chemicals, the fluid mechanics simulation software can be any one of ANSYS-FLUENT, ANSYS-CFX and STAR-CCM+, the explosion drive is a substance for generating an explosion effect, the explosion drive can be common TNT and other explosives, and can also be other inflammable and explosive dangerous chemicals, and the explosion drive load curve is an explosion drive pressure-time curve or an explosion drive temperature-time curve and is an explosion drive pressure or temperature-time relation curve in the throwing process.
In a preferred implementation of this embodiment, the explosive drive load pressure-time curve is calibrated by trial and error, comprising the steps of:
carrying out a plurality of groups of static explosion tests on the explosion drive, and determining the acting time of the load of the explosion drive and the throwing range of the explosion drive;
and (3) fitting an exponential function y=a+b×c×x to the explosion driving load curve, calculating a throwing range by using the curve, and determining the explosion driving load curve when the throwing range is matched with the experimental value.
By adopting the scheme, the explosion driving is described to change along with time, so that the poison is simulated to be thrown at the explosion dispersion section, and the simulated data of the explosion dispersion section is more accurate; the strong shock wave of the explosion dispersion section plays a leading role in the diffusion of poison, the damage in the explosion throwing range is the most serious, the explosion dispersion section is a rescue core area, and the accurate simulation of the condition of the explosion dispersion section can effectively guide rescue and reduce casualties. Curve fitting can be performed using any of origin, curveExpert Pro, aTool software.
Referring to fig. 2, in a preferred implementation manner of the present example, the poison explosion dispersion section simulation process includes the following steps:
s201, establishing a model: importing a 3D model of the explosion sketching area;
s202, grid division: the meshing is arranged to be divergent unstructured meshing at a growth rate of 1-2 from the pressure inlet to the pressure outlet.
By adopting the scheme, the method is suitable for the movement track of the poison explosion diffusion process, and the density and the temperature of the poison in the grid are measured more accurately.
In a preferred implementation manner of this embodiment, the poison explosion dispersion section simulation process further includes the following steps:
s203, preprocessing setting: comprises selecting a turbulence model;
s204, setting a solver, namely setting the solver as a standard k-epsilon turbulence model, importing an exponential function corresponding to an explosion driving load curve through a custom function, and solving by using a SIMPLE algorithm.
In a preferred implementation manner of this embodiment, the poison explosion dispersion section simulation process further includes the following steps:
s205, setting an initial value;
s206, calculating and simulating: repeating simulation to obtain a grid independent solution and a poison density cloud picture and/or a temperature distribution diagram of a poison explosion dispersion section;
s207, storing.
By adopting the scheme, each parameter can be input with an initial value according to the situation, the influence of grid setting on the simulation of the poison explosion dispersion section is eliminated, the calculation accuracy is improved, and the simulation calculation result of the poison explosion dispersion section is conveniently guided into the simulation of the poison cloud cluster dispersion section with the initial value.
Referring to fig. 3, in a preferred implementation manner of the present embodiment, the poison cloud diffusion section simulation process includes the following steps:
s301, establishing a model: importing a 3D model of the explosion sketching area;
s302, mesh division: the divided grid is arranged as a non-uniform staggered grid.
By adopting the scheme, the method is suitable for slow diffusion in the poison cloud cluster diffusion process, and the density and the temperature of the poison in the grid are measured more accurately.
In a preferred implementation manner of this embodiment, the poison cloud diffusion section simulation process further includes the following steps:
s303, preprocessing setting: comprises selecting a turbulence model;
s304, setting a solver, namely setting the solver as a standard k-epsilon turbulence model, and iteratively solving a momentum equation, a continuous equation, an energy equation and a k-epsilon equation by using a SIMPLE algorithm.
By adopting the scheme, the method is suitable for the movement track of the poison explosion diffusion process, and the density and the temperature of the poison in the grid are measured more accurately. The SIMPLE algorithm is an abbreviation of English "Semi-Implicit Method for Pressure-Linked Equations", meaning "Semi-implicit method for solving a pressure coupling equation set", and the standard k-epsilon turbulence model is a Semi-empirical formula suitable for flow process simulation of complete turbulence. The continuous equation, the momentum equation and the energy equation are respectively derived according to the law of conservation of mass, the Newton's second law and the law of conservation of energy and are easily obtained by the person skilled in the art.
In a preferred implementation of this embodiment, the SIMPLE algorithm uses a first-order fully-hidden time discrete format or a second-order fully-hidden time discrete format.
By adopting the scheme, better calculation accuracy and calculation efficiency are ensured under the turbulence model.
In a preferred implementation manner of this embodiment, in the simulation process of the poison cloud cluster diffusion section, a central difference for a diffusion term and a power function scheme for a convection term are also adopted, and a continuous equation is converted into a pressure correction equation.
By adopting the scheme, the method accords with the poison cloud diffusion track and improves the operation precision.
In a preferred implementation manner of this embodiment, the poison cloud diffusion section simulation process further includes the following steps:
s305, setting an initial value: taking the simulation calculation result of the explosion dispersion section as an initial value;
s306, calculating and simulating: repeating simulation to obtain a grid independent solution and a poison density cloud picture and/or a temperature distribution diagram of a poison cloud cluster diffusion section;
s307, storing.
By adopting the scheme, the influence of grid setting on simulation of the poison cloud cluster diffusion section is eliminated, and the calculation accuracy is improved.
Referring to fig. 1, in a preferred implementation of the present embodiment, the segment simulation further includes
S400, poison correction diffusion simulation: and taking all parameters at the end of the simulation of the poison cloud cluster diffusion section as initial values, acquiring on-site data, modifying node data, and correspondingly changing nearby node data.
By adopting the scheme, the concentration sensor and/or the temperature sensor carried by the on-site rescue personnel can be used for measuring the data of the node corresponding to the coordinate modification simulation area, the density, the temperature change, the secondary explosion caused by chemical reaction and the like caused by personnel flow and fire extinguishment can cause the change of poison density distribution and temperature distribution, the data can be timely adjusted according to the actual situation through poison correction diffusion simulation, the on-site situation can be simulated in real time, the rescue efficiency is improved, and the danger caused by secondary explosion is prevented.
Referring to fig. 4, in a preferred implementation of the present example, a poison-corrected diffusion simulation includes the steps of:
s401, introducing a simulation result of a poison cloud cluster diffusion section;
s402, on-site data acquisition;
s403, performing secondary explosion simulation, namely introducing a secondary explosion driving load curve to perform simulation;
s404, modifying the node data, and correspondingly changing the nearby node data. The order of steps S402, S403, S404 is not limited, and may be alternately performed a plurality of times.
By adopting the scheme, density and temperature changes caused by personnel flowing, fire extinguishment and the like as well as poison density and temperature changes caused by secondary explosion can be corrected in time, rescue is guided in real time, and the secondary explosion is driven into combustible gas or combustible floating powder which causes secondary explosion.
Example two
Referring to fig. 5, the simulation method for poison diffusion under explosion effect provided in this embodiment is substantially the same as that provided in the first embodiment, except that: the poison correction diffusion simulation is implemented by utilizing a rescue system to collect field data and modify node data, wherein the rescue system comprises rescue center equipment 1 and mobile terminal equipment 2; the rescue center equipment 1 comprises an analog unit 11 and a first wireless transmission unit 12, wherein the analog unit 11 is used for modifying node data; the mobile terminal device 2 comprises an information collection unit 21, a warning unit 22 and a second wireless transmission unit 23, wherein the information collection unit 21 is used for collecting poison density and temperature at different positions on a rescue scene, and the warning unit 22 is used for warning rescue workers away from a high-risk area and giving an escape scheme; the second wireless transmission unit 23 is connected to the first wireless transmission unit 12 in a wireless communication manner.
By adopting the above scheme, the mobile terminal devices 2 are provided in plurality and can be carried on rescue workers or unmanned aerial vehicles, the information collecting unit 21 is used for collecting poison density and temperature at different positions on the rescue site, and the warning unit 22 is used for warning the rescue workers away from high-risk areas, so that rescue casualties are reduced; the second wireless transmission unit 23 is used for transmitting the acquired information, and the high-risk area is an area which is extremely vulnerable to damage to human body and causes secondary explosion due to the fact that the concentration of poison and the temperature are too high; the rescue center device 1 receives data of a rescue site through the first wireless transmission unit 12, and performs real-time simulation on the site through the sectional simulation method of poison diffusion under the explosion effect, so as to divide a high-risk area and warn rescue workers.
In a preferred implementation of the present embodiment, the information collecting unit 21 includes a temperature sensor, a flammable gas detector, a dust concentration meter, a satellite positioning device.
By adopting the scheme, the poison temperature, the concentration of common combustible gas and the concentration of combustible dust can be acquired and transmitted to the simulation unit 11 for data correction under corresponding coordinates, and a dangerous area is generated.
In a preferred implementation manner of this embodiment, the mobile terminal device 2 further includes an interaction unit 24, where the interaction unit 24 is configured to report the found dangerous situation and the rescue situation to the rescue personnel. The interactive unit 24 may employ control panel operations and/or voice recognition operations.
With the above scheme, the interaction unit 24 performs man-machine interaction manually and/or by voice, and discovers conditions such as open fire, too high dust concentration, or effective rescue conditions such as extinguishment of open fire, etc., and can be marked and reported in time, so that the simulation unit 11 can monitor and correct data on the corresponding nodes, and the warning unit 22 can prompt danger information of other rescue workers.
In a preferred implementation manner of this embodiment, the mobile terminal device 2 includes a control unit 25, where the control unit 25 is electrically connected to the information collecting unit 21, the warning unit 22, the second wireless transmission unit 23, and the interaction unit 24.
With the above scheme, the control unit 25 is used for controlling and processing information of the information collecting unit 21, the warning unit 22, the second wireless transmission unit 23, and the interaction unit 24.
In a preferred implementation of this embodiment, the simulation unit 11 includes a display 111, a processor 112, and a storage medium 113, where the display 111, the storage medium 113, and the first wireless transmission unit 12 are electrically connected to the processor 112, and the storage medium 113 includes one or more programs, and the one or more programs may be executed by the processor 112 to perform the above-mentioned method of simulating the diffusion of the poison under the explosion effect in a sectional manner.
It should be noted that it will be apparent to those skilled in the art that various changes and modifications can be made to the present utility model without departing from the principles of the utility model, and such changes and modifications will fall within the scope of the appended claims.
Claims (6)
1. A sectional simulation method for poison diffusion under the action of explosion is characterized in that: the method comprises the following steps:
s100, acquiring an explosion driving load curve;
carrying out sectional simulation on poison diffusion under the action of explosion by using fluid mechanics simulation software;
the segment simulation comprises the following steps:
s200, simulating a poison explosion dispersion section: introducing an explosion driving load curve, and simulating to obtain a poison density cloud picture and/or a temperature distribution diagram of a poison explosion dispersion section;
s300, simulating a poison cloud cluster diffusion section: taking each parameter at the end of the simulation of the poison explosion dispersion section as an initial value, and obtaining a poison density cloud picture and/or a temperature distribution diagram of the poison cloud cluster dispersion section through simulation;
wherein the explosion-driven load pressure-time curve is calibrated by a trial and error method, comprising the following steps:
carrying out a plurality of groups of static explosion tests on the explosion drive, and determining the acting time of the load of the explosion drive and the throwing range of the explosion drive;
an exponential function y=a+b c x is selected to fit an explosion driving load curve, wherein y is an explosion object driving throwing range, x is explosion driving load acting time, a, b and c are fixed coefficients, the throwing range is calculated by utilizing the curve, when the throwing range is matched with an experimental value,
determining an explosion driving load curve;
the poison explosion dispersion section simulation process comprises the following steps:
s201, establishing a model: importing a 3D model of the explosion sketching area;
s202, grid division: the divided grids are arranged to perform divergent unstructured grid division from the pressure inlet to the pressure outlet according to a growth rate of 1-2;
s203, preprocessing setting: comprises selecting a turbulence model;
s204, setting a solver, namely setting a standard k-epsilon turbulence model, importing an exponential function corresponding to an explosion driving load curve through a custom function, and solving by using a SIMPLE algorithm;
s205, setting an initial value;
s206, calculating and simulating: repeating simulation to obtain a grid independent solution and a poison density cloud picture and/or a temperature distribution diagram of a poison explosion dispersion section;
s207, storing;
the simulation process of the poison cloud cluster diffusion section comprises the following steps:
s301, establishing a model: importing a 3D model of the explosion sketching area;
s302, mesh division: the divided grids are set as non-uniform staggered grids;
s303, preprocessing setting: comprises selecting a turbulence model;
s304, setting a solver, namely setting the solver as a standard k-epsilon turbulence model, and iteratively solving a momentum equation, a continuous equation, an energy equation and a k-epsilon equation by using a SIMPLE algorithm;
s305, setting an initial value: taking the simulation calculation result of the explosion dispersion section as an initial value;
s306, calculating and simulating: repeating simulation to obtain a grid independent solution and a poison density cloud picture and/or a temperature distribution diagram of a poison cloud cluster diffusion section;
s307, storing.
2. The method for simulating the diffusion of a poison under the action of an explosion according to claim 1, wherein: the sectional simulation further comprises poison correction diffusion simulation, and comprises the following steps:
introducing a simulation result of a poison cloud cluster diffusion section;
collecting field data;
and modifying the node data, and correspondingly changing the nearby node data.
3. The method for simulating the diffusion of a poison under the action of an explosion according to claim 1, wherein: and the poison explosion dispersion section simulation process or the poison cloud cluster dispersion section simulation process comprises the step of setting the grid in an encryption manner.
4. The method for simulating the diffusion of a poison under the action of an explosion according to claim 2, wherein: the poison correction diffusion simulation process comprises the steps of utilizing a rescue system to collect field data and modify node data, wherein the rescue system comprises rescue center equipment (1) and mobile terminal equipment (2); the rescue centre device (1) comprises an analog unit (11) and a first wireless transmission unit (12), wherein the analog unit (11) is used for modifying node data; the mobile terminal device (2) comprises an information collection unit (21), a warning unit (22) and a second wireless transmission unit (23), wherein the information collection unit (21) is used for collecting poison density and temperature at different positions on a rescue scene, and the warning unit (22) is used for warning rescue workers away from a high-risk area and giving an escape scheme; the second wireless transmission unit (23) is in wireless communication connection with the first wireless transmission unit (12).
5. The method for simulating the diffusion of a poison under the action of an explosion according to claim 4, wherein: the information collecting unit (21) comprises a temperature sensor, a combustible gas detector, a dust concentration measuring instrument and a satellite positioning device.
6. The method for simulating the diffusion of a poison under the action of an explosion according to claim 5, wherein: the mobile terminal device (2) further comprises an interaction unit (24), and the interaction unit (24) is used for reporting the found dangerous situation and rescue situation to rescue workers.
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