CN110879919A - Sectional type simulation method for poison diffusion under explosion action - Google Patents
Sectional type simulation method for poison diffusion under explosion action Download PDFInfo
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Abstract
The invention provides a sectional type simulation method for spreading poison under the action of explosion, which comprises the following steps: obtaining an explosion driving load curve; carrying out sectional simulation on the toxic diffusion under the action of explosion by using fluid mechanics simulation software; the piecewise simulation includes: simulating a poison explosion dispersion section, introducing an explosion driving load curve, and simulating to obtain a poison density cloud chart and/or a temperature distribution chart of the poison explosion dispersion section; and (3) simulating the poison cloud group diffusion section, wherein each parameter at the end of the simulation of the poison explosion diffusion section is used as an initial value, and a poison density cloud picture and/or a temperature distribution picture of the poison cloud group diffusion section are obtained through simulation. The whole process of spreading the toxicant under the action of explosion is simulated by utilizing fluid mechanics simulation software to obtain the concentration and/or temperature quantized values and the distribution rule of the toxicant at different positions so as to monitor the cloud concentration and/or time variation of the toxicant at different positions, provide technical support for rescue workers, ensure the safety of the explosion rescue workers and improve the rescue efficiency.
Description
Technical Field
The invention relates to the technical field of safety protection, in particular to a sectional type simulation method for toxic substance diffusion under the action of explosion.
Background
In recent years, the continuous dangerous chemical explosion accidents are integrated with 'burning, explosion and toxicity', and are various in types, large in quantity and serious in harm.
In the accident rescue process, the spreading condition of the toxicant under the action of explosion is not clear, the concentration distribution and the law of the toxicant are not mastered, the chemical hazard type and the hazard degree can be only roughly judged, and the accurate protection is difficult to carry out, so that the rescue work progress is slow.
The process of diffusion of poisons under the action of an explosion can be roughly two stages: an explosion dispersion section and a cloud dispersion section. The explosion dispersion section refers to that the poison is strongly thrown under the action of shock waves, and the cloud cluster dispersion section refers to that the poison cloud cluster overcomes the gravity and the rising resistance under the action of buoyancy and performs thermal lifting movement relative to the atmosphere. The strong shock wave of the explosion dispersion section plays a leading role in the diffusion of poisons, and the damage in the explosion dispersion range is the most serious and is the rescue core area. The explosion effect directly affects the diameter and range of the primary cloud cluster, the aerosol particle size and the concentration distribution of the poison in the cloud cluster, so that all items after the explosion dispersion section is finished are the initial conditions of the cloud cluster diffusion section.
At present, researchers in relevant fields at home and abroad mostly assume that the poison is continuously released at a constant speed when studying the spread of the poison, namely, the situation under the action of explosion is not considered. When the poison diffusion under the action of explosion is researched, due to the complexity of the explosion process, the poison in the primary cloud cluster after explosion is generally assumed to be uniformly distributed, and a corresponding numerical model and a corresponding calculation method are established according to the assumption, although the diffusion tendency of the cloud cluster after explosion can be approximately reflected, the error between the calculated value and the actual poison cloud cluster diffusion value is large, and the calculation method is not beneficial to being used in the actual rescue process.
Therefore, there is a need in the art for a method for modeling the distribution of poisons in a segmented manner under an explosive action.
The invention is provided in view of the above.
Disclosure of Invention
The present invention is directed to a sectional simulation method for poison diffusion under an explosion effect, so as to solve at least one of the above technical problems.
Specifically, the invention provides a sectional type simulation method for toxic substance diffusion under the action of explosion, which comprises the following steps:
obtaining an explosion driving load curve;
carrying out sectional simulation on the toxic diffusion under the action of explosion by using fluid mechanics simulation software;
the segmentation simulation comprises the following steps:
simulating a poison explosion dispersion section, introducing an explosion driving load curve, and simulating to obtain a poison density cloud chart and/or a temperature distribution chart of the poison explosion dispersion section;
and (3) simulating the poison cloud group diffusion section, wherein each parameter at the end of the simulation of the poison explosion diffusion section is used as an initial value, and a poison density cloud picture and/or a temperature distribution picture of the poison cloud group diffusion section are obtained through simulation.
By adopting the scheme, the whole process of toxic diffusion under the action of explosion is simulated by utilizing fluid mechanics simulation software to obtain the concentration and/or temperature quantized values and the distribution rule of the toxic at different positions so as to monitor the cloud concentration and/or time variation of the toxic at different positions, provide technical support for rescue workers, ensure the safety of the explosion rescue workers and improve the rescue efficiency. And (3) taking all parameters when the poison explosion dispersion section is finished as initial conditions, and performing simulation calculation on the poison cloud cluster diffusion section, namely the whole process of the poison diffusion under the explosion action by using fluid mechanics simulation software to obtain the concentrations and/or quantitative values and the distribution rule of the poison at different positions, so that the simulated result is more accurate. The poison comprises liquid chlorine, ammonia gas and other dangerous chemicals, the hydrodynamics simulation software can be any one of ANSYS-FLUENT, ANSYS-CFX and STAR-CCM +, the explosion drive is a substance generating an explosion effect, can be common TNT and other explosives, and can also be other flammable 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 driving load pressure-time curve is calibrated by a trial and error method, and the method comprises the following steps of:
carrying out multiple groups of static explosion tests on the explosion drive, and determining the action time of the explosion drive load and the throwing range of the explosion drive;
and fitting the explosion driving load curve by using an exponential function y ═ a + b ^ c ^ x, calculating a throwing range by using the curve, and determining the explosion driving load curve when the throwing range is consistent with an experimental value.
By adopting the scheme, the spreading of the poison in the explosion dispersion section is simulated by describing the change of the explosion drive along with the time, so that the simulation 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 poisons, the damage in the explosion throwing range is the most serious and is a rescue core area, and the accurate simulation of the condition of the explosion dispersion section can effectively guide rescue and reduce casualties. The curve fitting can be performed by using any one of origin, CurveExpert Pro and aTool software.
Further, in the poison explosion dispersion section simulation process, the divided grids are set to be divergent non-structural grids. Preferably, the divided mesh is arranged to be divergently unstructured meshed from the pressure inlet to the pressure outlet with a growth rate of 1-2.
By adopting the scheme, the device is suitable for the motion trail of the poison explosion diffusion process, and the density and the temperature of the poison in the grid can be measured more accurately.
Further, in the poison cloud diffusion section simulation process, the divided grids are set to be non-uniform staggered grids.
By adopting the scheme, the device is suitable for slow diffusion of a toxic cloud cluster in a diffusion process, and the density and the temperature of the toxic substances in the grid are measured more accurately.
Further, in the process of simulating the poison explosion dispersion section, a standard k-epsilon turbulence model is set, an exponential function corresponding to an explosion driving load curve is introduced through a self-defined function, and a SIMPLE algorithm is used for solving.
Furthermore, a standard k-epsilon turbulence model is set in the simulation process of the poison cloud cluster diffusion section, and a momentum equation, a continuous equation, an energy equation and a k-epsilon equation are solved iteratively by utilizing a SIMPLE algorithm.
By adopting the scheme, the device is suitable for the motion trail of the poison explosion diffusion process, and the density and the temperature of the poison in the grid can be measured more accurately. The SIMPLE algorithm is an abbreviation of the English 'Semi-empirical Method for Pressure-Linked Equations', means a 'Semi-Implicit Method for solving a Pressure coupling equation set', and a standard k-epsilon turbulence model is a Semi-empirical formula and is suitable for flow process simulation of complete turbulence. The continuous equation, the momentum equation and the energy equation are respectively derived according to a mass conservation law, a Newton's second law and an energy conservation law.
Preferably, the SIMPLE algorithm adopts a first-order implicit time discrete format or a second-order implicit time discrete format.
By adopting the scheme, better calculation precision and calculation efficiency are ensured under the turbulence model.
Furthermore, in the process of simulating the poison cloud diffusion section, a diffusion term-based central difference and convection term-based power function scheme is adopted, and a continuous equation is converted into a pressure correction equation.
By adopting the scheme, the method conforms to the diffusion track of the toxic cloud cluster and improves the operation precision.
Further, in the poison explosion dispersion section simulation process, the grid is encrypted and set, and the simulation is repeated until a grid-independent solution is obtained.
By adopting the scheme, the grid interval is reduced, the grid is encrypted, the obtained value is not greatly different through repeated simulation, namely the obtained value is a grid-independent solution, the influence of grid setting on the simulation of the poison explosion dispersion section is eliminated, and the calculation accuracy is improved.
Further, in the process of simulating the poison cloud diffusion section, the grid encryption setting is carried out, and the simulation is repeated until a grid-independent solution is obtained.
By adopting the scheme, the influence of grid setting on the simulation of the toxic cloud cluster diffusion section is eliminated, and the calculation accuracy is improved.
Further, simulating the poison explosion dispersion section, and establishing an explosion planning region through axisymmetric rotation.
By adopting the scheme, the establishment of the explosion mapping area is simplified, the explosion mapping area is the largest range of possible poison diffusion, the method is suitable for widening landforms, and the operation efficiency is improved.
Preferably, the poison explosion dispersion section is simulated, and a 3D model of an explosion planning region is introduced.
The scheme is adopted. The explosion planning area comprises the landform, the house distribution or the indoor arrangement of the explosion occurrence place, and the like, so that the simulation is more accurate.
Further, the segmented simulation further comprises a poison-modified diffusion simulation, and the method comprises the following steps:
introducing a simulation result of a toxic cloud 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 worker can be used for measuring the real-time data and the data of the corresponding node of the coordinate modification simulation area, the density and temperature change caused by personnel flowing, fire extinguishment and secondary explosion caused by chemical reaction can all cause the change of poison density distribution and temperature distribution, the data can be timely adjusted according to the actual condition through poison correction diffusion simulation, the on-site condition is simulated in real time, the rescue efficiency is improved, and the danger caused by secondary explosion is prevented.
Further, the poison modification diffusion simulation also comprises the following steps:
and (4) secondary explosion simulation, wherein a secondary explosion driving load curve is imported for simulation.
By adopting the scheme, density and temperature changes caused by personnel flowing, fire extinguishing and the like and poison density and temperature changes caused by secondary explosion can be corrected in time, and rescue is guided in real time, wherein the secondary explosion drives combustible gas or combustible floating powder causing secondary explosion.
Further, the poison correction diffusion simulation is to use a rescue system to collect field data and modify node data, wherein the rescue system comprises rescue center equipment and mobile terminal equipment; the rescue center equipment comprises a simulation unit and a first wireless transmission unit, wherein the simulation 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 the densities and temperatures of poisons at different positions of a rescue site, and the warning unit is used for warning rescuers to be far 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 device is carried on rescuers or an unmanned aerial vehicle, the information collection unit is used for collecting the density and the temperature of toxic materials at different positions of a rescue site, the warning unit is used for warning the rescuers to be far away from a high-risk area, the second wireless transmission unit is used for transmitting the collected information, the high-risk area is an area which is extremely high in toxic material concentration and temperature, is extremely easy to damage human bodies and causes secondary explosion, and therefore rescue casualties are reduced; the rescue center equipment receives data of a rescue site through the first wireless transmission unit, and simulates the site in real time through the sectional simulation method of toxic diffusion under the action of explosion, so as to divide a high-risk area and warn rescuers.
Further, the information collection unit comprises a temperature sensor, a combustible gas detector, a dust concentration measuring instrument and a satellite positioning device.
By adopting the scheme, the temperature of poison, the concentration of common combustible gas and the concentration of combustible dust can be collected 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, and the interaction unit is used for reporting the discovered dangerous condition and rescue condition by the rescue workers. The interaction unit may employ control panel operations and/or voice recognition operations.
By adopting the scheme, the interaction unit carries out man-machine interaction through manual and/or voice, and can mark and report effective rescue conditions such as open fire, over-high dust concentration or extinction of the open fire in time when finding the conditions, so that the simulation unit can conveniently monitor and correct data of corresponding nodes in a key way, and the warning unit can conveniently prompt other rescue personnel danger information.
Furthermore, 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 other units and processing information.
Further, the simulation unit includes a display, a processor, and a storage medium, where the display, the storage medium, and the first wireless transmission unit are electrically connected to the processor, and the storage medium includes one or more programs, and the one or more programs can be executed by the processor to implement the simulation method.
In conclusion, the invention has the following beneficial effects:
1. simulating the whole process of toxic diffusion under the action of explosion by using fluid mechanics simulation software to obtain the concentration and/or temperature quantized values and the distribution rule of the toxic at different positions so as to monitor the cloud concentration and/or time variation of the toxic at different positions, provide technical support for rescue workers, ensure the safety of the explosion rescue workers and improve the rescue efficiency;
2. various parameters can be input according to conditions, and the accuracy of the measured poison diffusion data under the explosion action can be effectively ensured;
3. various parameters at the end of the toxicant explosion dispersion section are used as initial conditions, and fluid mechanics simulation software is used for carrying out simulation calculation on the toxicant cloud diffusion section, namely the whole process of toxicant diffusion under the explosion action, so that the concentrations and/or quantitative values and the distribution rule of the toxicant at different positions are obtained, and the simulated result is more accurate;
4. real-time data and data of a corresponding node of a coordinate modification simulation area can be measured by using a concentration sensor and/or a temperature sensor carried by on-site rescue personnel, the density and temperature change caused by personnel flowing and fire extinguishing, secondary explosion caused by chemical reaction and the like can cause the change of poison density distribution and temperature distribution, and through poison correction diffusion simulation, the data can be timely adjusted according to actual conditions, the on-site conditions are simulated in real time, the rescue efficiency is improved, and the danger caused by secondary explosion is prevented;
5. the mobile terminal device is carried on rescuers or an unmanned aerial vehicle, the information collection unit is used for collecting the density and temperature of toxic materials at different positions of a rescue site, the warning unit is used for warning the rescuers to be away from a high-risk area, the second wireless transmission unit is used for transmitting the collected information, the high-risk area is an area which is extremely high in toxic material concentration and temperature, is extremely easy to damage human bodies and causes secondary explosion, and therefore rescue casualties are reduced;
6. the rescue center equipment receives data of a rescue site through the first wireless transmission unit, and simulates the site in real time through the sectional simulation method of toxic diffusion under the action of explosion, so as to divide a high-risk area and warn rescuers.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of one embodiment of a method for piecewise simulation of poison diffusion under the action of an explosion in accordance with the present invention;
FIG. 2 is a schematic diagram of one embodiment of a poison explosion dispersal segment simulation of the present invention;
FIG. 3 is a schematic view of one embodiment of a poison cloud diffusion zone simulation of the present invention;
FIG. 4 is a schematic view of one embodiment of a poison modification diffusion zone simulation of the present invention;
FIG. 5 is a schematic view of one embodiment of a rescue system of the present invention;
description of the reference numerals
The technical scheme of the invention can be more clearly understood and explained by combining the embodiment of the invention through the reference sign description.
1. Rescue center equipment; 11. an analog unit; 111. a display; 112. a processor; 113. a storage medium; 12. a first wireless transmission unit; 2. a mobile terminal device; 21. an information collection unit; 22. a warning unit; 23. a second wireless transmission unit; 24. an interaction unit; 25. a control unit.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the invention, as detailed in the appended claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. 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 and all possible combinations of one or more of the associated listed items.
The present invention will be described in detail below by way of examples.
Example one
Referring to fig. 1, the present embodiment provides a method for sectional simulation of drug diffusion under the action of an explosion, comprising the following steps:
s100, obtaining an explosion driving load curve;
the method carries out sectional simulation on the toxic diffusion under the action of explosion by using fluid mechanics simulation software,
the segmentation simulation comprises the following steps:
s200, simulating a poison explosion dispersion section: leading in an explosion driving load curve, and simulating to obtain a poison density cloud chart and/or a temperature distribution chart of a poison explosion dispersion section;
s300, simulating a toxic cloud diffusion section: and (3) simulating to obtain a poison density cloud picture and/or a temperature distribution picture of the poison cloud diffusion section by taking each parameter at the end of the simulation of the poison explosion diffusion section as an initial value.
By adopting the scheme, the whole process of toxic diffusion under the action of explosion is simulated by utilizing fluid mechanics simulation software to obtain the concentration and/or temperature quantized values and the distribution rule of the toxic at different positions so as to monitor the cloud concentration and/or time variation of the toxic at different positions, provide technical support for rescue workers, ensure the safety of the explosion rescue workers and improve the rescue efficiency. And (3) taking all parameters when the poison explosion dispersion section is finished as initial conditions, and performing simulation calculation on the poison cloud cluster diffusion section, namely the whole process of the poison diffusion under the explosion action by using fluid mechanics simulation software to obtain the concentrations and/or quantitative values and the distribution rule of the poison at different positions, so that the simulated result is more accurate. The poison comprises liquid chlorine, ammonia gas and other dangerous chemicals, the hydrodynamics simulation software can be any one of ANSYS-FLUENT, ANSYS-CFX and STAR-CCM +, the explosion drive is a substance generating an explosion effect, can be common TNT and other explosives, and can also be other flammable 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 embodiment of this embodiment, the detonation-driven load pressure-time curve is calibrated by trial and error, and includes the following steps:
carrying out multiple groups of static explosion tests on the explosion drive, and determining the action time of the explosion drive load and the throwing range of the explosion drive;
and fitting the explosion driving load curve by using an exponential function y ═ a + b ^ c ^ x, calculating a throwing range by using the curve, and determining the explosion driving load curve when the throwing range is consistent with an experimental value.
By adopting the scheme, the spreading of the poison in the explosion dispersion section is simulated by describing the change of the explosion drive along with the time, so that the simulation 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 poisons, the damage in the explosion throwing range is the most serious and is a rescue core area, and the accurate simulation of the condition of the explosion dispersion section can effectively guide rescue and reduce casualties. The curve fitting can be performed by using any one of origin, CurveExpert Pro and aTool software.
Referring to fig. 2, in a preferred embodiment of this embodiment, the poison explosion dispersal section simulation process includes the following steps:
s201, establishing a model: importing a 3D model of the explosion mapping region;
s202, grid division: the divided mesh is arranged to be divergently unstructured meshed from the pressure inlet to the pressure outlet at a growth rate of 1-2.
By adopting the scheme, the device is suitable for the motion trail of the poison explosion diffusion process, and the density and the temperature of the poison in the grid can be measured more accurately.
In a preferred embodiment of this embodiment, during the simulation of the poison explosion dispersal section, the method further includes the following steps:
s203, pretreatment setting: selecting a turbulence model;
and S204, setting a solver, namely setting a standard k-epsilon turbulence model, introducing an exponential function corresponding to the explosion driving load curve through a user-defined function, and solving by using a SIMPLE algorithm.
In a preferred embodiment of this embodiment, during the simulation of the poison explosion dispersal section, the method further includes the following steps:
s205, setting an initial value;
s206, calculating and simulating: repeating the simulation to obtain a grid-independent solution and obtain a poison density cloud chart and/or a temperature distribution chart of the poison explosion dispersion section;
and S207, storing.
By adopting the scheme, each parameter can be input with an initial value according to the condition, the influence of grid setting on the simulation of the toxic explosion dispersion section is eliminated, the calculation accuracy is improved, and the simulation calculation result of the toxic explosion dispersion section is conveniently led into the simulation of the toxic cloud cluster dispersion section with the initial value.
Referring to fig. 3, in a preferred embodiment of this embodiment, the poison cloud diffusion zone simulation process includes the following steps:
s301, establishing a model: importing a 3D model of the explosion mapping region;
s302, grid division: the divided grids are set to be non-uniform staggered grids.
By adopting the scheme, the device is suitable for slow diffusion of a toxic cloud cluster in a diffusion process, and the density and the temperature of the toxic substances in the grid are measured more accurately.
In a preferred embodiment of this embodiment, in the poison cloud diffusion zone simulation process, the method further includes the following steps:
s303, pretreatment setting: selecting a turbulence model;
s304, setting a solver, including setting 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 device is suitable for the motion trail of the poison explosion diffusion process, and the density and the temperature of the poison in the grid can be measured more accurately. The SIMPLE algorithm is an abbreviation of the English 'Semi-empirical Method for Pressure-Linked Equations', means a 'Semi-Implicit Method for solving a Pressure coupling equation set', and a standard k-epsilon turbulence model is a Semi-empirical formula and is suitable for flow process simulation of complete turbulence. The continuous equation, the momentum equation and the energy equation are derived according to the mass conservation law, the Newton's second law and the energy conservation law respectively, and are easily obtained by a person skilled in the art.
In a preferred implementation of this embodiment, the SIMPLE algorithm uses a first-order implicit time discrete format or a second-order implicit time discrete format.
By adopting the scheme, better calculation precision and calculation efficiency are ensured under the turbulence model.
In a preferred embodiment of this embodiment, in the poison cloud diffusion section simulation process, a diffusion term-based central difference and a convection term-based power function scheme are further adopted, and the continuous equation is converted into a pressure correction equation.
By adopting the scheme, the method conforms to the diffusion track of the toxic cloud cluster and improves the operation precision.
In a preferred embodiment of this embodiment, in the poison cloud diffusion zone simulation process, the method further includes the following steps:
s305, initial value setting: taking the simulation calculation result of the explosion dispersion section as an initial value;
s306, calculating and simulating: repeating the simulation to obtain a grid-independent solution and obtain a poison density cloud chart and/or a temperature distribution chart of the poison explosion dispersion section;
and S307, storing.
By adopting the scheme, the influence of grid setting on the simulation of the toxic cloud cluster diffusion section is eliminated, and the calculation accuracy is improved.
Referring to fig. 1, in a preferred implementation of this embodiment, the piecewise simulation further includes
S400, poison correction diffusion simulation: and (3) taking each parameter when the simulation of the poison cloud cluster diffusion section is finished as an initial value, acquiring field data, 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 worker can be used for measuring the real-time data and the data of the corresponding node of the coordinate modification simulation area, the density and temperature change caused by personnel flowing, fire extinguishment and secondary explosion caused by chemical reaction can all cause the change of poison density distribution and temperature distribution, the data can be timely adjusted according to the actual condition through poison correction diffusion simulation, the on-site condition is 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 embodiment of this example, the poison-modified diffusion simulation comprises the steps of:
s401, importing a simulation result of a toxic cloud diffusion section;
s402, acquiring field data;
s403, simulating secondary explosion, namely importing a secondary explosion driving load curve for simulation;
s404, modifying the node data, and correspondingly changing the nearby node data. The order of steps S402, S403, and S404 is not limited, and may be performed alternately for a plurality of times.
By adopting the scheme, density and temperature changes caused by personnel flowing, fire extinguishing and the like and poison density and temperature changes caused by secondary explosion can be corrected in time, and rescue is guided in real time, wherein the secondary explosion drives combustible gas or combustible floating powder causing secondary explosion.
Example two
Referring to fig. 5, the present embodiment is substantially the same as the simulation method for poison diffusion under the action of explosion provided by the first embodiment, except that: the poison correction diffusion simulation is to use a rescue system to collect field data and modify node data, wherein the rescue system comprises a rescue center device 1 and a mobile terminal device 2; the rescue center equipment 1 comprises a simulation unit 11 and a first wireless transmission unit 12, wherein the simulation unit 11 is used for modifying node data; the mobile terminal device 2 comprises an information collection unit 21, an alarm unit 22 and a second wireless transmission unit 23, wherein the information collection unit is used for collecting the density and the temperature of poisons at different positions of a rescue site, and the alarm unit 22 is used for warning rescue workers to be far 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.
By adopting the scheme, the mobile terminal devices 2 are arranged in a plurality and can be carried on rescue workers or unmanned aerial vehicles, the information collection unit 21 is used for collecting the density and the temperature of toxic materials at different positions of a rescue site, and the warning unit 22 is used for warning the rescue workers to be far away from a high-risk area, so that rescue casualties are reduced; the second wireless transmission unit 23 is configured to transmit the acquired information, and the high-risk area is an area where the concentration and the temperature of the toxic substance are too high, and the human body is easily damaged and secondary explosion is caused; the rescue center equipment 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 action of explosion, so as to divide a high-risk area for warning rescuers.
In a preferred embodiment of the present embodiment, the information collecting unit 21 includes a temperature sensor, a combustible gas detector, a dust concentration measuring instrument, and a satellite positioning device.
By adopting the scheme, the temperature of poison, the concentration of common combustible gas and the concentration of combustible dust can be collected so as to be 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, and the interaction unit 24 is configured to report the discovered dangerous situation and rescue situation for the rescue workers. The interaction unit 24 may employ control panel operations and/or voice recognition operations.
By adopting the scheme, the interaction unit 24 performs man-machine interaction manually and/or by voice, and can timely mark and report the conditions such as open fire, too high dust concentration or effective rescue conditions such as extinction of the open fire, so that the simulation unit 11 can conveniently monitor and correct the data of the corresponding nodes, and the warning unit 22 can conveniently prompt other rescue worker danger information.
In a preferred implementation manner of this embodiment, the mobile terminal device 2 includes a control unit 25, and the control unit 25 is electrically connected to the information collection 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 the information of the information collection unit 21, the warning unit 22, the second wireless transmission unit 23, and the interaction unit 24.
In a preferred embodiment of this embodiment, the simulation unit 11 includes a display 111, a processor 112 and a storage medium 113, the display 111, the storage medium 113, the first wireless transmission unit 12 and the processor 112 are electrically connected, and the storage medium 113 includes one or more programs, which can be executed by the processor 112 to implement the above-mentioned segmented simulation method for toxic substance diffusion under the action of explosion.
It should be noted that, for those skilled in the art, it is possible to make several improvements and modifications to the present invention without departing from the principle of the present invention, and those improvements and modifications also fall within the protection scope of the claims of the present invention.
Claims (10)
1. A sectional type simulation method for poison diffusion under the action of explosion is characterized in that: the method comprises the following steps:
obtaining an explosion driving load curve;
carrying out sectional simulation on the toxic diffusion under the action of explosion by using fluid mechanics simulation software;
the segmentation simulation comprises the following steps:
simulation of a poison explosion dispersion section: leading in an explosion driving load curve, and simulating to obtain a poison density cloud chart and/or a temperature distribution chart of a poison explosion dispersion section;
simulating a toxic cloud diffusion section: and (3) simulating to obtain a poison density cloud picture and/or a temperature distribution picture of the poison cloud diffusion section by taking each parameter at the end of the simulation of the poison explosion diffusion section as an initial value.
2. The method of claim 1, wherein the step of simulating the spread of the toxic substance under the action of an explosion comprises: the segmented simulation also comprises a poison modification diffusion simulation, and comprises the following steps:
introducing a simulation result of a toxic cloud diffusion section;
collecting field data;
and modifying the node data, and correspondingly changing the nearby node data.
3. The method of claim 2, wherein the step of simulating the spread of the toxic substance under the action of the explosion comprises: and in the process of simulating the poison explosion dispersion section, the divided grids are set to be divergent non-structural grids.
4. The method of claim 3, wherein the method comprises the steps of: in the simulation process of the poison cloud diffusion section, the divided grids are set to be non-uniform staggered grids.
5. The method of claim 3, wherein the method comprises the steps of: and in the simulation process of the poison explosion dispersion section, a standard k-epsilon turbulence model is set, and a SIMPLE algorithm is utilized.
6. The method of claim 4, wherein the method comprises the steps of: and in the simulation process of the poison cloud diffusion section, a standard k-epsilon turbulence model is set, and a SIMPLE algorithm is utilized.
7. The method of sectional simulation of the spread of a toxic substance under the action of an explosion according to claim 5 or 6, wherein: and in the poison explosion dispersion section simulation process or the poison cloud cluster diffusion section simulation process, setting grid encryption, and repeatedly simulating until a grid-independent solution is obtained.
8. The method of claim 2, wherein the step of simulating the spread of the toxic substance under the action of the explosion comprises: in the poison correction diffusion simulation process, a rescue system is used for carrying out field data acquisition and modifying node data, and the rescue system comprises rescue center equipment (1) and mobile terminal equipment (2); the rescue center device (1) comprises a simulation unit (11) and a first wireless transmission unit (12), wherein the simulation 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), the information collection unit is used for collecting the density and the temperature of poisons at different positions of a rescue site, and the warning unit (22) is used for warning rescue workers to be far 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).
9. The method of claim 8, wherein the step of simulating the spread of the toxic substance under the action of an explosion comprises: the information collection unit (21) comprises a temperature sensor, a combustible gas detector, a dust concentration measuring instrument and a satellite positioning device.
10. The method of claim 9, wherein the method comprises the steps of: the mobile terminal device (2) further comprises an interaction unit (24), and the interaction unit (24) is used for reporting the discovered dangerous situation and rescue situation by rescuers.
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